SlideShare a Scribd company logo
1 of 37
Download to read offline
Industrial Internet:
Pushing the Boundaries
of Minds and Machines




Peter C. Evans and Marco Annunziata



                        November 26, 2012
Table of Contents
I. Executive Summary             3-4
II. Innovation and Productivity: What’s Next?                 5-6
III. Waves of Innovation and Change                 7-12
The First Wave: The Industrial Revolution
The Second Wave: The Internet Revolution
The Third Wave: The Industrial Internet

IV. How Big is the Opportunity? Three Perspectives                  13-18
Economic Perspective
Energy Consumption Perspective
Physical Asset Perspective… Things That Spin

V. The Benefits of the Industrial Internet                19-30
Industrial Sector Benefits: The Power of One Percent
Commercial Aviation
Rail Transportation
Power Production
Oil & Gas Development and Delivery
Healthcare
Economy-wide Gains: The Next Productivity Boom
The Great Fizzling
The Internet Revolution
Return of the Skeptics
Industrial Internet: Here Comes the Next Wave
How Much of a Difference Would it Make?
Industrial Internet and Advanced Manufacturing
Impact on the Global Economy
Role of Business Practices and the Business Environment

VI. Enablers, Catalysts and Conditions                31-33
Innovation
Infrastructure
Cyber Security Management
Talent Development

VII. Conclusions         34
VIII. Endnotes and Acknowledgements                   35-37
I. Executive Summary                              Revolution, and the more recent powerful
                                                  advances in computing, information and
                                                                                                   frequency real-time data brings a whole
                                                                                                   new level of insight on system operations.
                                                  communication systems brought to the             Machine-based analytics offers yet another
The world is on the threshold of a new era of     fore by the Internet Revolution.                 dimension to the analytic process. The
innovation and change with the rise of the                                                         combination of physics- based approaches,
                                                  Together these developments bring together       deep sector specific domain expertise,
Industrial Internet. It is taking place through
                                                  three elements, which embody the essence         more automation of information flows, and
the convergence of the global industrial
                                                  of the Industrial Internet:                      predictive capabilities can join with the
system with the power of advanced
computing, analytics, low-cost sensing            Intelligent machines: New ways of                existing suite of “big data” tools. The result
and new levels of connectivity permitted          connecting the word’s myriad of machines,        is the Industrial Internet encompasses
by the Internet. The deeper meshing of the        facilities, fleets and networks with advanced    traditional approaches with newer hybrid
digital world with the world of machines          sensors, controls and software applications.     approaches that can leverage the power
holds the potential to bring about profound                                                        of both historic and real-time data with
                                                  Advanced Analytics: Harnessing the
transformation to global industry, and in                                                          industry specific advanced analytics.
                                                  power of physics-based analytics, predictive
turn to many aspects of daily life, including     algorithms, automation and deep domain
                                                                                                   Building Blocks and “Things that Spin”
the way many of us do our jobs. These             expertise in material science, electrical
innovations promise to bring greater speed        engineering and other key disciplines            The Industrial Internet starts with
and efficiency to industries as diverse           required to understand how machines and          embedding sensors and other advanced
as aviation, rail transportation, power           larger systems operate.                          instrumentation in an array of machines
generation, oil and gas development, and                                                           from the simple to the highly complex. This
                                                  People at work: connecting people,
health care delivery. It holds the promise of                                                      allows the collection and analysis of an
                                                  whether they be at work in industrial
stronger economic growth, better and more                                                          enormous amount of data, which can be
                                                  facilities, offices, hospitals or on the move,
jobs and rising living standards, whether in                                                       used to improve machine performance, and
                                                  at any time to support more intelligent
the US or in China, in a megacity in Africa or                                                     inevitably the efficiency of the systems and
                                                  design, operations, maintenance as well as
in a rural area in Kazakhstan.                                                                     networks that link them. Even the data itself
                                                  higher quality service and safety.
                                                                                                   can become “intelligent,” instantly knowing
With better health outcomes at lower cost,                                                         which users it needs to reach.
                                                  Connecting and combining these elements
substantial savings in fuel and energy,
                                                  offers new opportunities across firms
and better performing and longer-lived                                                             In the aviation industry alone, the potential
                                                  and economies. For example, traditional
physical assets, the Industrial Internet will                                                      is tremendous. There are approximately
                                                  statistical approaches use historical data
deliver new efficiency gains, accelerating                                                         20,000 commercial aircraft operating with
                                                  gathering techniques where often there
productivity growth the way that the                                                               43,000 commercial jet engines in service.
                                                  is more separation between the data, the
Industrial Revolution and the Internet                                                             Each jet engine, in turn, contains three
                                                  analysis, and decision making. As system
Revolution did. And increased productivity                                                         major pieces of rotating equipment which
                                                  monitoring has advanced and the cost of
means faster improvement in income and                                                             could be instrumented and monitored
                                                  information technology has fallen, the ability
living standards. In the US, if the Industrial                                                     separately. Imagine the efficiencies in
                                                  to work with larger and larger volumes of
Internet could boost annual productivity                                                           engine maintenance, fuel consumption,
                                                  real-time data has been expanding. High
growth by 1-1.5 percentage points, bringing                                                        crew allocation, and scheduling when
it back to its Internet Revolution peaks,
then over the next twenty years through                           Figure 1. Key Elements of the Industrial Internet
the power of compounding it could raise
average incomes by an impressive 25-40
percent of today’s level over and above the
current trend. And as innovation spreads
                                                                   1                               2                        3
globally, if the rest of the world could
secure half of the US productivity gains, the
Industrial Internet could add a sizable $10-
15 trillion to global GDP – the size of today’s
                                                           Intelligent                   Advanced                  People at
U.S. economy – over the same horizon. In                   Machines                      Analytics                 Work
today’s challenging economic environment,
                                                           Connect the                   Combines the              Connecting people at
securing even part of these productivity
                                                           world’s machines,             power of physics-         work or on the move,
gains could bring great benefits at both the
                                                           facilities, fleets            based analytics,          any time to support
individual and economy-wide level.
                                                           and networks                  predictive                more intelligent
                                                           with advanced                 algorithms,               design, operations,
The Next Wave
                                                           sensors, controls             automation and            maintenance and
How will this be possible? The Industrial                  and software                  deep domain               higher service
Internet brings together the advances                      applications                  expertise                 quality and safety
of two transformative revolutions: the
myriad machines, facilities, fleets and
networks that arose from the Industrial

                                                                                                                                                    3
Table 1: Industrial Internet: The Power of 1 Percent                                                  availability of private, semi-public, or public
                                                                                                                      cloud-based systems may displace the
              What if... Potential Performance Gains in Key Sectors                                                   need for isolated systems. The result could
                                                                                                                      be a more rapid closing of the productivity
                                                                                                                      gap between advanced and emerging
                                                                                        Estimated Value
    Industry                    Segment                   Type of Savings                Over 15 Years                nations. And in the process, the Industrial
                                                                                       (Billion nominal US dollars)   Internet would ease resource and financial
                                                                                                                      constraints, making robust global growth
      Aviation                Commercial                  1% Fuel Savings                       $30B                  more sustainable.

                                                                                                                      Enablers and Catalysts
       Power             Gas-fired Generation             1% Fuel Savings                       $66B
                                                                                                                      The Industrial Internet will require putting in
                                                                                                                      place a set of key enablers and catalysts:
                                                          1% Reduction in                       $63B
    Healthcare                System-wide
                                                         System Inefficiency                                          • A sustained effort in technological
                                                                                                                      innovation is needed, along with investment
                                                          1% Reduction in                                             to deploy the necessary sensors,
         Rail                    Freight
                                                         System Inefficiency
                                                                                                $27B
                                                                                                                      instrumentation and user interface systems.
                                                                                                                      Investment will be a fundamental condition to
                              Exploration &               1% Reduction in                                             rapidly transfer new technologies into capital
      Oil & Gas                                         Capital Expenditures
                                                                                                $90B
                              Development
                                                                                                                      stock. The pace of Industrial Internet growth
                                                                                                                      will ultimately be driven by how cost effective
Note: Illustrative examples based on potential one percent savings applied across specific global industry sectors.   and beneficial they can be relative to current
Source: GE estimates
                                                                                                                      practice. The costs of deploying the Industrial
                                                                                                                      Internet will likely be sector and region
‘intelligent aircraft’ can communicate with                  improvement in fuel savings would yield a
                                                                                                                      specific, but the assumption is that the costs
operators. That is just today. In the next 15                savings of $30 billion over 15 years. Likewise,
                                                                                                                      of deployment will be providing a positive
years, another 30,000 jet engines will likely                a one percent efficiency improvement in the
                                                                                                                      return for technology dollars invested.
go into service as the global demand for air                 global gas-fired power plant fleet could yield
service continues to expand.                                 a $66 billion savings in fuel consumption.               • A robust cyber security system and
                                                             The global health care industry will also                approaches to manage vulnerabilities
Similar instrumentation opportunities exist                  benefit from the Industrial Internet, through            and protect sensitive information and
in locomotives, in combined-cycle power                      a reduction in process inefficiencies: a one             intellectual property.
plants, energy processing plants, industrial                 percent efficiency gain globally could yield             • Development of a strong talent pool
facilities and other critical assets. Overall,               more than $63 billion in health care savings.            including new cross-cutting roles that
there are over 3 million major “things that                  Freight moved across the world rail networks,            combine mechanical and industrial
spin” in today’s global industrial asset                     if improved by one percent could yield                   engineering into new “digital-mechanical
base—and those are just a subset of the                      another gain of $27 billion in fuel savings.             engineers,” data scientists to create the
devices where the Industrial Internet can                    Finally, a one percent improvement in capital            analytics platforms and algorithms, and
take hold.                                                   utilization upstream oil and gas exploration             software and cyber security specialists.
                                                             and development could total $90 billion in               Endowing workers with these skills will
Power of just one percent                                    avoided or deferred capital expenditures.                help ensure that, once again, innovation
The benefits from this marriage of                           These are but a few examples of what can be              will result in more jobs as well as
machines and analytics are multiple and                      potentially achieved.                                    higher productivity.
significant. We estimate that the technical
innovations of the Industrial Internet                       Broad Global Benefits                                    It will take resources and effort, but
could find direct application in sectors                     As an early mover and source of key                      the Industrial Internet can transform
accounting for more than $32.3 trillion in                   innovation, the US is at the forefront of                our industries and lives— pushing the
economic activity. As the global economy                     the Industrial Internet. Given increasingly              boundaries of minds and machines.
grows, the potential application of the                      deeper global integration and ever
Industrial Internet will expand as well. By                  more rapid technology transfer, the
2025 it could be applicable to $82 trillion                  benefits will be worldwide. In fact, with
of output or approximately one half of the                   emerging markets investing heavily in
global economy.                                              infrastructure, early and rapid adoption
                                                             of Industrial Internet technologies could
A conservative look at the benefit to specific               act as a powerful multiplier. There may be
industries is instructive. If the Industrial                 opportunities to avoid the same phases of
Internet achieves just a one percent                         development that developed economies
efficiency improvement then the results are                  went through. For example, the use of
substantial. For example, in the commercial                  cables and wires may be avoided by going
aviation industry alone, a one percent                       straight to wireless technology. Or the

                                                                                                                                                                        4
II. Innovation                                   decisioning. We call this convergence the
                                                 Industrial Internet. We highlight evidence
and Productivity:                                which suggests that a wide range of new
                                                 innovations can yield significant benefits
What’s Next?                                     to business and to the global economy. We
                                                 believe the skeptics have been too quick to
For much of human history, productivity          draw conclusions that close the book on
growth was barely perceptible, and living        productivity gains. Much like the Industrial
standards improved extremely slowly.             Revolution, the Internet Revolution is
Then approximately 200 years ago, a              unfolding in dynamic ways—and we are now
step change in innovation occurred: the          at a turning point.
Industrial Revolution, in which muscle
power, from both humans and animals,             A number of forces are at work to explain
was replaced by mechanical power. The            why the Industrial Internet is happening
Industrial Revolution unfolded in waves,         today. The capabilities of machines are         Processing gains
bringing us the steam engine, the internal       not being fully realized. The inefficiencies
combustion engine, and then the telegraph,       that persist are now much greater at the        continue unabated and
telephone and electricity. Productivity and
economic growth accelerated sharply. Per
                                                 system level, rather than at the individual
                                                 physical machine level. Complexity has          have reached the point
capita income levels in western economies        outstripped the ability of human operators
                                                 to identify and reduce these inefficiencies.
                                                                                                 where it is possible
had taken eight hundred years to double by
the early 1800’s; in the following 150 years     While these factors are making it harder to     to augment physical
they rose thirteen-fold. But in the 1970’s,      achieve improvements through traditional
productivity growth in the US, then at the       means, they are creating incentives to          machines with digital
“frontier” of productivity, fizzled out.         apply new solutions arising from Internet-
                                                 based innovations. Computing, information,      intelligence.
The second step change in innovation             and telecommunication systems can now
followed more recently with the rise of          support widespread instrumentation,
computing and the global internet                monitoring, and analytics. The cost of
which rested on breakthroughs in                 instrumentation has declined dramatically,
information storage, computing and               making it possible to equip and monitor
communication technology. Its impact on          industrial machines on a widening scale.
productivity was even stronger, but seemed       Processing gains continue unabated and
to lose momentum after just ten years,           have reached the point where it is possible
around 2005.                                     to augment physical machines with digital
                                                 intelligence. Remote data storage, big data
Some now argue that this is where the story      sets and more advanced analytic tools that
ends. They acknowledge that businesses           can process massive amounts of information
and economies have benefited significantly       are maturing and becoming more widely
from past waves of innovation but are            available. Together these changes are
pessimistic about the potential for future       creating exciting new opportunities when
growth in productivity. They argue that          applied to machines, fleets and networks.
the transformations brought about by
the Industrial Revolution were of a one-         The rapid decline in the cost of
off nature, and their gains have already         instrumentation is matched by the impact
been realized; that the Internet Revolution      of cloud computing, which allows us to
has already played out, its innovations          gather and analyze much larger amounts
being nowhere near as disruptive and             of data, and at lower cost, than was ever
productivity-enhancing as those of the           possible. This creates a cost-deflation trend
Industrial Revolution.

We challenge this view. In this paper we
examine the potential for a new wave
of productivity gains. Specifically, we
point to how the fruits of the Industrial
Revolution and the machines, fleets and
physical networks that it brought forth
are now converging with the more recent
fruits of the Internet Revolution: intelligent
devices, intelligent networks and intelligent


                                                                                                                          5
comparable to that which spurred rapid            The Industrial Internet will help make each
adoption of information and communication         of these levels of the industrial system
technology (ICT) equipment in the second          perform better. It will enable enhanced
half of the 1990’s—and which will this            asset reliability by optimizing inspection,
time accelerate the development of the            maintenance and repair processes. It will
Industrial Internet. The mobile revolution        improve operational efficiency at the level of
will also accelerate this deflation trend,        fleets as well as larger networks.
making it more affordable to efficiently share
information and leading to decentralized          The conditions are ripe and early evidence
optimization and personalized optimization.       suggests that this new wave of innovation
Remote monitoring and control of industrial       is already upon us. In the following pages
facilities, distributed power, and personalized   we present a framework for thinking about
and portable medicine are just some of the        how the Industrial Internet will unfold, and
most powerful examples.                           examples of benefits it holds for businesses
                                                  and more broadly for economies around
To fully appreciate the potential, it is          the world.
important to consider how large the global
industrial system has become. There are
now millions of machines across the world,
ranging from simple electric motors to
highly advanced computed tomography
(CT) scanners used in the delivery of health
care. There are tens of thousands of fleets,
ranging from power plants that produce
electricity to the aircraft which move people
and cargo around the world. There are
thousands of complex networks ranging
from power grids to railroad systems, which
tie machines and fleets together.




                                                                                                   6
III. Waves                                        period, innovations in technology applied
                                                  to manufacturing, energy production,

of Innovation                                     transportation and agriculture ushered
                                                  in a period of economic growth and

and Change                                        transformation. The first stage started
                                                  in the mid-eighteenth century with the
                                                  commercialization of the steam engine.
                                                  The Industrial Revolution started in
Over the last 200 years, the world has
                                                  Northern Europe, which at the time was
experienced several waves of innovation.
                                                  the most productive economy, and spread
Successful companies learned to navigate
                                                  to the United States, where railways played
these waves and adapt to the changing
                                                  a crucial role in accelerating economic
environment. Today we are at the cusp of
                                                  development.1 The second surge came
another wave of innovation that promises to
                                                  later, in 1870, but was even more powerful,
change the way we do business and interact
                                                  bringing us the internal combustion
with the world of industrial machines. To
                                                  engine, electricity and a host of other
fully understand what is taking place today,
                                                  useful machines.
it is useful to review how we got here and
how past innovations have set the stage for       The Industrial Revolution changed the
the next wave we are calling the “Industrial      way we lived: it brought about a profound
Internet.”                                        transformation in transportation (from
                                                  the horse-carriage and the sailboat to
The First Wave: The Industrial Revolution
                                                  the railways, steamboats and trucks); in
The Industrial Revolution had a profound          communication (telephone and telegraph);
impact on society, the economy and                in urban centers (electricity, running
culture of the world. It was a long process       water, sanitation and medicine). It
of innovation that spanned a period of 150        dramatically transformed living
years between 1750 and 1900. During this          standards and health conditions.2


                    Figure 2. Rise of the Industrial Internet


                                                                 Wave 3
                                                                 Industrial
                                                                 Internet
                                         Wave 2
                                                                 Machine-based
                                         Internet                analytics: physics-
                                         Revolution              based, deep domain
                                         Computing               expertise, automated,
               Wave 1                    power and rise          predictive
               Industrial                of distributed
               Revolution                information
                                         networks
               Machines and
               factories that
               power economies
               of scale and scope
Innovation




                  Time

                                                                                                7
Several key features characterized this           In the 1970’s, these closed government         2008, Facebook had 100 million active users.
period.3 It was marked by the rise of the         and private networks gave way to open          Facebook now has over one billion users. In
large industrial enterprise spanning new          networks and what we now call the World        eight years, Facebook enabled more than
industries from textiles to steel to power        Wide Web. In contrast to the homogenous        140 billion friend connections to be made,
production. It created significant economies      closed networks used during the first stage    265 billion photos were uploaded, and
of scale and corresponding reduction in           of the Internet, the open networks were        more than 62 million songs were played 22
costs as machines and fleets got larger           heterogeneous. A key feature was that          billion times.6
and production volumes increased. It              standards and protocols were explicitly
harnessed the efficiencies of hierarchical        designed to permit incompatible                The qualities of the Internet Revolution
structures, with centralization of control. The   machines in diverse locations owned            were very different from the Industrial
global capital stock of dedicated plant and       by different groups to connect and             Revolution. The Internet, computing and
equipment grew dramatically. Innovation           exchange information.                          the ability to transmit and receive large
began to be thought of in a systematic way,                                                      amounts of data, have been built on the
with the rise of central laboratories and         Openness and flexibility of the network were   creation and value of networks, horizontal
centers for research and development (R&D).       key elements that created the basis for its    structures and distributed intelligence.
Enterprises, both large and small, worked to      explosive growth. The speed of growth was      It changed thinking about production
harness new inventions in order to create         breathtaking. In August 1981 there were        systems by permitting deeper integration
and profit from new markets.                      less than 300 computers connected to the       and more flexible operations. Also, rather
                                                  Internet. Fifteen years later the number had   than an ordered linear approach to
Despite the enormous gains reaped by              climbed to 19 million.4 Today the number       research and development, the Internet
the economy and society, the Industrial           is in the billions. Speed and volume of        has enabled concurrent innovation. The
Revolution also had a downside. The               information transmitted grew dramatically.     ability to exchange information rapidly and
global economic system became more                In 1985 the very best modems were only         decentralize decision-making has spawned
highly resource-intensive and had a               capable of speeds of 9.6 kilobits per second   more collaborative work environments
more significant impact on the external           (Kbps). The first generation of iPhone, by     that are unconstrained by geography. As a
environment as a result of both resource          contrast, was 400 times faster, capable of     consequence, older models of centralized
extraction and industrial waste streams.          transmitting information at 3.6 megabits       internal innovation have ceded ground to
In addition, working conditions during            per second (Mbps).5                            start-ups and more open innovation models
this era needed vast improvement . Much                                                          that harness an environment of more
of the incremental innovation that has            The combination of speed and volume            abundant knowledge. Thus, rather than
occurred since the Industrial Revolution          created powerful new platforms for             resource- intensive, the Internet Revolution
has been focused on improving efficiency,         commerce and social exchange by driving        has been information and knowledge-
reducing waste and enhancing the                  down the cost of commercial transactions       intensive. It has highlighted the value of
working environment .                             and social interactions. Companies went        networks and the creation of platforms.
                                                  from selling nothing over the internet to      It has opened up new avenues to reduce
The Second Wave: The Internet Revolution          creating large new efficient markets for       environmental footprints and support more
At the end of the twentieth century, the          exchange. In some cases this involved          eco-friendly products and services.
Internet Revolution changed the world yet         existing companies shifting to new digital
again. The timeframe in which it unfolded         platforms; however, the vast majority of
was much shorter, taking place over               the innovation and ferment centered on
about 50 years instead of 150; but like the       the creation of brand new companies and
Industrial Revolution, the Internet Revolution    capabilities. When eBay began in 1995, it
unfolded in stages. The first stage started in    closed the year with 41,000 users trading
the 1950’s with large main frame computers,       $7.2 million worth of goods. By 2006, it
software and the invention of “information-       had 22 million users trading $52.5 billion
packets” which permitted computers to             worth of goods. Social networking had a
communicate with one another. The first           similar trajectory. Facebook was launched
stage consisted of experimentation with           in February 2004 and in less than a year
government-sponsored computer networks.           reached 1 million active users. By August

                                                                                                                                                8
The Third Wave: The Industrial Internet                 deeply merge with the connectivity, big data      • Advanced Analytics: Advances in
Today, in the twenty-first century, the                 and analytics of the digital world.               “big data” software tools and analytic
Industrial Internet promises to transform                                                                 techniques provide the means to understand
our world yet again. The melding of the                 Intelligent Devices                               the massive quantities of data that are
global industrial system that was made                  Providing digital instrumentation to              generated by intelligent devices.
possible as a result of the Industrial                  industrial machines is the first step in the
Revolution, with the open computing and                 Industrial Internet Revolution. Several factors   Together, these forces are changing the cost
communication systems developed as part                 have aligned to make the widespread               and value of collecting, analyzing and acting
of the Internet Revolution, opens up new                instrumentation of industrial machines            on data that has existed in theory but has
frontiers to accelerate productivity, reduce            not only possible, but economically viable.       not been fully harnessed in practice.
inefficiency and waste, and enhance the                 Widespread instrumentation is a necessary
                                                                                                          Making sense of the rivers of data that can
human work experience.                                  condition for the rise of the Industrial
                                                                                                          be generated by intelligent devices is one
                                                        Internet. Several forces are at work to
Indeed, the Industrial Internet Revolution is                                                             of the key components of the Industrial
                                                        make machines and collections of
already underway. Companies have been                                                                     Internet. As illustrated in Figure 3, the
                                                        machines more intelligent.
applying Internet-based technologies to                                                                   Industrial Internet can be thought of in
                                                        • Costs of deployment: Instrumentation            terms of the flow and interaction of data,
industrial applications as they have become             costs have declined dramatically, making
available over the last decade. However,                                                                  hardware, software and intelligence. Data
                                                        it possible to equip and monitor industrial       is harvested from intelligent devices and
we currently stand far below the possibility            machines in a more economical manner
frontier: the full potential of Internet-based                                                            networks. The data is stored, analyzed and
                                                        than in the past.                                 visualized using big data and analytics tools.
digital technology has yet to be fully realized
across the global industry system. Intelligent          • Computing power: Continued                      The resultant “intelligent information” can
devices, intelligent systems, and intelligent           improvements in microprocessor chips              then be acted upon by decision makers, in
decisioning represent the primary ways                  have reached a point that now makes it            real-time if necessary, or as part of broader
in which the physical world of machines,                possible to augment physical machines             industrial assets optimization or strategic
facilities, fleets and networks can more                with digital intelligence.                        decision processes across widely diverse
                                                                                                          industrial systems.


                                             Figure 3. Applications of the Industrial Internet Ne imiz
                                                                                             op




                                                                     nt
                                                               lligeoning
                                                                                                 t




                                            LD
                                                                                                 tw at
                                                                                                    or ion




                                     R                     Inte cisi
                                                                                                       k




                            L WO                             de
                                                                                                               B leet tion

                        ITA
                                                                                                            op


                                                                                                                E

                                      ent
                                                                                                                 F iza
                                                                                                                  tim


                                                                                                                          N

                     IG          elligtems
                                                                                                                             E
                   D          Int ys
                                                                                                                                F
                                                                                                                                I T Fa miza
                                       s                                                                                           S cilit tion
                                                                                                                             op
                                                                                                                               ti



                ent
           ellig ices
                                                                                                                                          y

        Int dev
                                                                                                                                                  op
                                                                                                                                                   As iza
                                                                                                                                                    tim
                                                                                                                                                      se tio
                                                                                                                                                        t n

                   s
         w   ork
     Net
  IN




                             ets
                       Fle
       D
          U
              S
                   T




                                                 ties
                       R




                                           ili
                       IA




                                       Fac
                             L
                                   W
                                   O




                                                                      s
                                                                ine
                                       R




                                                           ch
                                       L




                                                        Ma
                                           D




                                                                                                                                                               9
Figure 4. Industrial Internet Data Loop

                                                                 Instrumented
                                  Intelligence flows             Industrial Machine
                                  back into machines
                                                                                                                         Extraction and storage
            Physical and                                                                                                 of proprietary machine
            Human Networks                                                                                               data stream




                                                                                                                      Data

                                                                                                                             terabytes
                                                                                                                                  store now query




                                                                                                            time
                                                                                                    mobile         databases tools
                                                                                                                               compressionbig
                                                                                                                Storage

                                                                                                   data
                                                                                                                                                    database
                                                                                                      Twitter
                                                                                                                                          support
                                                                                                    SQL          big data                new    storage
                                                                                                                                                    processing

                                                                                                                                                                         Industrial
                                                                                                                                                    information




                                                                                                                                                              analyses
                                                                                                                                                      analysis



                                                                                                                                                                         Data Systems
                                                                                                      example            column-store




                                                             SECURE, CLOUD-
              Data sharing with                              BASED NETWORK
              the right people
              and machines
                                                                                                                                                          Machine-based
                                                                                 0 1 10 1 0001101000100101101010 1 10 0
                                                                                 0 0 10 1 0001100101101101000010 1 10 1                                   algorithms and
                                                                                 1 0 10 1 1001000101101000110100 1 10 1
                                                                                 0 1 10 0 1001011010001101000010 1 10 0                                   data analysis
                                                                                 1 0 11 0 1010000100110110010100 0 11 0
                                                                                 1 0 10 0 1001011000011010001101 0 10 0
                                                                                 0 1 10 1 0010100101000100110010 1 10 1
                                                                                 0 1 10 0 1010000100110110010100 1 10 0
                                                                                 0 0 11 0 1001011010001101000010 0 11 0
                                                                                 1 0 10 0 1001011000011010001101 0 10 0
                                                                                 0 1 10 1 0010100101000100110010 1 10 1
                                                                                 1 0 10 0 1001011010001101000011 0 10 0
                                Remote and                                       0 1 10 1 1001001010001101000010 1 10 1
                                                                                 1 1 10 1 1001000101101000110100 1 10 1
                                Centralized Data                                 0 1 10 1 0001100101101101000010 1 10 1
                                                                                 1 1 10 1 0001101000100101101010 1 10 1
                                Visualization
                                                                                Big Data Analytics



Intelligent information can also be shared       transferred to remote locations for analysis                            predictive analytics can be combined to
across machines, networks, individuals or        and storage. Determining the degree of local                            avoid unplanned outages and minimize
groups to facilitate intelligent collaboration   data residency is one of the keys to ensuring                           maintenance costs.
and better decision making. This enables a       the security of the Industrial Internet and
broader group of stakeholders to engage          the many and diverse companies who will                                 All of these benefits come from machine
in asset maintenance, management and             benefit from being a part of it. The important                          instrumentation using existing information
optimization. It also ensures that local and     point here is that new innovations are                                  technologies and doing so in ways that
remote individuals that have machine-            permitting sensitive data generated by an                               enable people to do their jobs more
specific expertise are brought into the fold     instrumented machine to remain on-board,                                effectively. This is what makes the wide-
at the right time. Intelligent information       where it belongs. Other data streams will                               spread deployment of intelligent devices
can also be fed back to the originating          be transferred remotely so that they can be                             so potentially powerful. In an era when
machine. This not only includes data that        visualized, analyzed, augmented and acted                               it is increasingly challenging to squeeze
was produced by the originating machine,         upon, as appropriate, by people at work or                              more productivity from high-performance
but also external data that can enhance          on the move.                                                            machines such as highly-engineered
the operation or maintenance of machines,                                                                                aircraft engines, the broad deployment
fleets and larger systems. This data feedback    Over time, these data flows provide a history                           of intelligent devices holds the potential
loop enables the machine to “learn” from         of operations and performance that enables                              to unlock additional performance and
its history and behave more intelligently        operators to better understand the condition                            operational efficiencies.
through on-board control systems.                of the critical components of the plant.
                                                 Operators can understand how many hours
Each instrumented device will produce large      a particular component has been operating
quantities of data that can be transferred       and under what conditions. Analytic tools
via the Industrial Internet network to remote    can then compare this information to the
machines and users. An important part of         operating histories of similar components
the implementation of the Industrial Internet    in other plants to provide reliable estimates
will involve determining which data remains      of the likelihood and timing of component
resident on devices and which data is            failure. In this manner, operating data and


                                                                                                                                                                                        10
Intelligent Systems                               the event of major storms, earthquakes or
                          The potential benefits of intelligent systems     other natural hazards, a network of smart
                          are vast. Intelligent systems include a           meters, sensors, and other intelligent devices
                          variety of traditional networked systems,         and systems can be used to quickly detect
                          but the definition is broader to encompass        and isolate the biggest problems so that
                          the combination of widespread machine             they do not cascade and cause a blackout.
                          instrumentation with software as deployed         Geographic and operational information
                          across fleets and networks. As an increasing      can be combined to support utility
                          number of machines and devices join the           recovery efforts.
                          Industrial Internet, the synergistic effects of
                                                                            Learning: Network learning effects are
                          widespread machine instrumentation can
                                                                            another benefit of machine interconnection
                          be realized across fleets and networks.
                                                                            with a system. The operational experiences
                          Intelligent systems come in a number of           of each machine can be aggregated into a
                          different forms:                                  single information system that accelerates
                                                                            learning across the machine portfolio in
                          Network Optimization: The operation               a way that is not possible with a single
                          of interconnected machines within a               machine. For example, data collected from
Each machine can          system can be coordinated to achieve              airplanes coupled with information about
                          operational efficiencies at the network           location and flight history can provide
be aggregated into        level. For example, in health care, assets        a wealth of information about airplane
                                                                            performance in a variety of environments.
a single information      can be linked to help doctors and nurses
                          route patients to the correct device more         The insights derived from this data are

system that accelerates   quickly. Information can then be seamlessly
                          transmitted to care providers and patients
                                                                            actionable and can be used to make the
                                                                            entire system smarter, thereby driving
learning across the       resulting in shorter wait times, higher           a continuous process of knowledge
                          equipment utilization, and better quality         accumulation and insight implementation.
machine portfolio.        care. Intelligent systems are also well suited
                          for route optimization within transportation      Building out intelligent systems harnesses
                          networks. Interconnected vehicles will            the benefits of widely deploying intelligent
                          know their own location and destination,          devices. Once an increasing number of
                          but also can be alerted to the location and       machines are connected within a system,
                          destination of other vehicles in the system—      the result is a continuously expanding,
                          allowing optimization of routing to find the      self-learning system that grows smarter
                          most efficient system-level solution.             over time.

                          Maintenance Optimization: Optimal,
                          low-cost, machine maintenance across
                          fleets can also be facilitated by intelligent
                          systems. An aggregate view across
                          machines, components and individual
                          parts provides a line of sight on the status
                          of these devices and enables the optimal
                          number of parts to be delivered at the
                          right time to the correct location. This
                          minimizes parts inventory requirements and
                          maintenance costs, and provides higher
                          levels of machine reliability. Intelligent
                          system maintenance optimization can
                          be combined with network learning and
                          predictive analytics to allow engineers
                          to implement preventive maintenance
                          programs that have the potential to
                          lift machine reliability rates to
                          unprecedented levels.

                          System Recovery: Establishing broad
                          system-wide intelligence can also assist
                          in more rapidly and efficiently restoring
                          systems after major shocks. For example, in


                                                                                                                             11
Intelligent DECISIONING                             and analyze high frequency real-time data
The full power of the Industrial Internet will      brings a new level of insight on system
be realized with a third element—Intelligent        operations. Machine-based analytics offer
Decisioning. Intelligent Decisioning occurs         yet another dimension to the analytic
when enough information has been                    process. Using a combination of physics-
gathered from intelligent devices and               based methodologies, deep sector-specific
systems to facilitate data-driven learning,         domain expertise, increased automation of
which in turn enables a subset of machine           information flows, and predictive techniques,
and network-level operational functions             advanced analytics can be joined with the
to be transferred from operators to secure          existing suite of “big data” tools. The result
digital systems. This element of the Industrial     is the Industrial Internet encompasses
Internet is essential to grapple with the           traditional approaches with newer hybrid
increasing complexity of interconnected             approaches that can leverage the power
machines, facilities, fleets and networks.          of both historic and real-time data with
                                                    industry-specific advanced analytics.
Consider fully instrumented networks of             The full potential of the Industrial Internet
facilities or fleets across wide geographic         will be felt when the three primary digital
locations. Operators need to quickly make           elements—intelligent devices, intelligent
thousands of decisions to maintain optimal          systems and intelligent decision-making—
system performance. The challenges of this          fully merge with physical machines, facilities,
complexity can be overcome by enabling              fleets and networks. When this occurs, the
the system to perform select operations             benefits of enhanced productivity, lower
with human consent. The burden of                   costs and reduced waste will propagate
complexity is transferred to the digital            through the entire industrial economy.
system. For example, within an intelligent
system, signals to increase the output of
a dispatchable power plant will not have
to be sent to the operators of individual
plants. Instead, intelligent automation will
be used to directly co-dispatch flexible
plants in response to variable resources like
wind and solar power, changes in electricity
demand, and the availability of other plants.
These capabilities will facilitate the ability
of people and organizations to do their jobs
more effectively.

Intelligent Decisioning is the long-term
vision of the Industrial Internet. It is the
culmination of the knowledge gathered as
the elements of the Industrial Internet are
assembled device-by-device and system-
by-system. It is a bold vision that, if realized,
can unlock productivity gains and reduce
operating costs on a scale comparable to
the Industrial and Internet Revolutions.

Integrating the elements
As the intelligent pieces are brought
together, the Industrial Internet brings
the power of “big data” together with
machine-based analytics. Traditional
statistical approaches use historical data
gathering techniques where often there
is more separation between the data, the
analysis, and decision making. As system
monitoring has advanced and the cost
of information technology has fallen, the
ability to work with real-time data has been
expanding. Greater capability to manage

                                                                                                      12
IV. How Big is                                        Economic Perspective
                                                      Traditional economic definitions of global
                                                                                                         while in developing economies industrial
                                                                                                         sectors represent about 37 percent of
the Opportunity?                                      industry include manufacturing, natural
                                                      resource extraction, construction, and
                                                                                                         GDP output. Within this industrial total,
                                                                                                         manufacturing activities represent 15
Three Perspectives                                    utilities sectors.7 Based on these categories,     percent and 20 percent of advanced and
                                                                                                         developing country economic output,
                                                      in 2011, global industry represented
                                                      about 30 percent or $21 trillion of the $70        respectively. Thus, by traditional economic
To appreciate the scale of the opportunity
                                                      trillion dollar world economy.8 Of that,           accounting measures, industrial activity
of the Industrial Internet it is useful to first
                                                      manufacturing of goods represented 17              represents roughly one-third of all economic
scale the global industrial system. How big is
                                                      percent of output, while other industries          activity, with country-by-country variation.
this system? The simple answer is very big.
However, there is no single simple measure.           including resource extraction and
                                                                                                         While one-third of the global economy is
We therefore suggest three different                  construction contributed about 13 percent
                                                                                                         extremely large, it does not capture the full
perspectives: economic share, energy                  of global output. At a regional level, there
                                                                                                         expanse of the Industrial Internet’s potential.
requirements, and physical assets in terms            is considerable variation depending on
                                                                                                         The Industrial Internet will encompass a
of machines, facilities, fleets and networks.         the economic structure and resource
                                                                                                         broader array of sectors than captured
While not exhaustive, these measures when             endowment of any particular country.
                                                                                                         by conventional economic categories. For
taken together provide a useful perspective
                                                      Within the developed economies, industry           example, it will also engage large swaths of
on the vast potential scale and scope of the
                                                      represents roughly 24 percent of output,           the transport sector including:
Industrial Internet.




                                          Figure 5. Industrial Internet Potential GDP Share


                                                      Global GDP ~$70 Trillion

                                     Developing                                               Advanced
                                     Economies                                                Economies
                                     $29 Trillion                                             $41 Trillion




                   Non-Industrial            Industrial                        Industrial                    Non-Industrial
                     Economy                 Economy                           Economy                         Economy
                    $18.1 Trillion          $10.8 Trillion                    $9.7 Trillion                   $31 Trillion




     Other                                                                                                                           Other
  $14.3 Trillion                                                                                                                  $23.1 Trillion




7 Trillion                                                                                                                                         7 Trillion
6 Trillion                                                                                                                                         6 Trillion
5 Trillion                                                                                                                                         5 Trillion
4 Trillion                                                                                                                                         4 Trillion
3 Trillion                                                                                                                                         3 Trillion
2 Trillion                                                                                                                                         2 Trillion
1 Trillion                                                                                                                                         1 Trillion
             Transportation    Healthcare Other Industrial Manufacturing      Manufacturing Other Industrial Transportation Healthcare
               $2.2 Trillion   $1.7 Trillion $5.3 Trillion  $5.5 Trillion      $6.1 Trillion  $3.6 Trillion    $2.6 Trillion $5.3 Trillion

     Industrial Internet opportunity ( $32.3 Trillion ) 46% share of global economy today
                                                    Source: World Bank, 2011 and General Electric

                                                                                                                                                                13
industrial transport fleets and large-scale        Industrial Internet will be felt beyond those
logistical operations such as aviation,            sectors. For example, the positive impact
rail, and marine transport.9 In 2011, the          on the health sector will result in better
global transportation services sector              health outcomes, which in turn will result
including land, air, marine, pipelines,            in fewer workdays lost because of sickness
telecommunications and supporting logistics        across the rest of the economy. Similarly,
services, represented about 7 percent of           improvements in transportation and logistics
global economic activity. Transportation           will benefit all economic activities which rely
fleets are critical links in the supply            on shipping of goods and on the reliability
and distribution chains associated with            and efficiency of supply chains.
manufacturing and energy production. Here
the Industrial Internet helps by optimizing        Energy Consumption Perspective
timing and flow of goods within heavy
industries. In commercial transport services
                                                   One of the key benefits of the integration of
                                                   smarter technologies and robust networks
                                                                                                     About 46 percent of
like passenger aircraft, there are further
opportunities for optimizing operations and
                                                   is the ability to create energy saving            the global economy or
                                                   efficiencies and reduce costs. Constraints
assets while improving service and safety.         on the energy system are intensifying.            $32.3 trillion in global
                                                   Scarcity of resources, need for better
Other commercial and government                    environmental sustainability, and lack of         output can benefit from
services sectors will also benefit. For
example, in health care, finding the critical
                                                   infrastructure are issues across the world.
                                                   It might even be argued that the rise of
                                                                                                     the Industrial Internet.
commonalities and analogs in high-volume           the Industrial Internet is a direct response
secure data can literally be a matter of life      to increasing resource constraints and
or death. The health care industry, including      scarcity. Therefore, another perspective on
public and private spending, is estimated to       the scale of the Industrial Internet comes
comprise 10 percent of the global economy          from understanding the energy footprint
or $7.1 trillion in 2011—a giant sector of the     associated with the global industrial system.
global economy by itself. Here the focus of        Huge volumes of energy resources are
the Industrial Internet shifts from optimizing     required to create the goods and services
the flow of goods to the flow of information       the world needs. If energy production and
and workflows of individuals—getting the           conversion is considered in addition to
right information, to the right person, at the     manufacturing and transportation sectors,
right time.                                        the scope of the Industrial Internet benefits
                                                   encompasses more than half of the world’s
When traditional industry is combined with         energy consumption.
the transportation and health services
sectors, about 46 percent of the global            The energy sector involves the spectrum of
economy or $32.3 trillion in global output         activities required to create finished energy
can benefit from the Industrial Internet. As       for consumption including:
the global economy grows and industry
                                                   • Extracting fuels (e.g. oil, gas, coal,
grows, this number will grow as well. By
                                                     uranium) or harnessing water, wind and 	
2025, we estimate that the share of the
                                                     solar energies
industrial sector (defined here broadly) will
grow to approximately 50 percent of the            • Refining and processing primary fuels
global economy or $82 trillion of future             into finished products for delivery (e.g. 	
global output in nominal dollars.10                  gasoline, LNG)
                                                   • Converting those fuels into electricity
The technologies of the Industrial Internet
will not be instantly applied to the entire
asset base corresponding to the 50 percent
of the world economy described above.
Introducing them will require investment,
and the pace of the investment may in turn
depend on the speed at which the enabling
infrastructures are developed. To this extent,
what we have described represents an upper
limit, the available envelope. On the other
hand, it also limits this envelope to those
sectors where the Industrial Internet can
find direct application. But the benefits of the


                                                                                                                                14
In 2011, the world produced more than               Shifting to the consumption side of the energy              The transportation sector is another large
13.0 billion metric tons of energy, when            balance, the world’s primary energy sources                 consumer of energy comprising 27 percent
converted to an oil equivalent basis (Btoe)         were converted into 9.5 Btoe of useful energy               of global energy demand—primarily oil
for comparative purposes.11 To help put this        products including 1.9 Btoe of electricity and              products. Within the transportation sector,
in perspective, all the cars and light vehicles     7.1 Btoe of other finished fuels. Industrial                approximately half (48 percent) of the fuel
in the United States, which now total about         end-users consumed 36 percent in the form                   consumed is in heavy fleets including trucks,
240 million, consumed less than one half of         of electricity, diesel fuel, metallurgical coal,            buses, aircraft, marine vessels, and rail
one Btoe. Of this 13.0 Btoe of global primary       natural gas, and chemical feedstocks. This                  locomotives. The other half of transport
energy production, 4.9 Btoe was converted to        roughly aligns with the manufacturing sector                sector energy (52 percent) is used in light
electricity at a conversion efficiency of about     described in the economic perspective above.                duty vehicles. Using information technology
40 percent and the other 8.1 Btoe was refined,      Within the industrial sector, the heaviest                  and networked devices and systems to
processed for impurities, washed (in the            energy consumers are the steel and metals                   optimize transport appears to be one of
case of coal) or converted in preparation for       industries and the petrochemical industry.                  the most exciting opportunities from the
transport and delivery to energy consumers.         Together, these heavy industries represent                  Industrial Internet. Assuming most of
It’s important to recognize there are immense       about 50 percent of the industrial energy                   the large fleets and a portion of the light
costs associated with energy production.            consumed. Recent studies indicated that                     duty vehicle fleets can benefit, perhaps
To maintain and grow energy supply, the             if best practice technologies are deployed,                 14 percent of global transportation fuel
global energy industry including coal, gas,         heavy industry energy consumption could be                  demand can be impacted by Industrial
oil, and power, on average, will require about      reduced by 15 to 20 percent.12 The continued                Internet technologies.
$1.9 trillion dollars (about 3 percent of global    and expanded Industrial Internet deployment
GDP) in new capital spending each year. The         can support this effort through process                     There are clearly many dimensions and
large volume and cost creates tremendous            integration, life-cycle optimization, and more              challenges in achieving real changes in
scope for continued deployment of Industrial        efficient utilization and maintenance of                    global energy consumption. Each system
Internet technologies.                              motors and rotating equipment.                              and sub-system needs to be evaluated


                                                   Figure 6: 2011 Global Energy Flows

                                                                                                Other
                                                                                           Conversion Losses

   Energy
                                                                                                                               Light-Duty
 Production
                                                                                                                               Transport
  13 BTOE                                                                                                                         14% Buildings
                                                                                                                                          32%   Other
                                                                                                                                                10%
Oil 31%


Coal 28%
                                                                                                             Energy
                                                                                                      Consumption
Gas 22%
                                                                                                        9.5 BTOE
Renewables 11%
Nuclear 5%
Hydro 3%


                                                                                                                                           Heavy-Duty
                                                                                                Electricity                 Industry        Transport
                                                                       Electricity
                                                                                                                              28%             16%
                                                                          Fuel
                                                                         Input                Electricity
                                                                                           Conversion Losses



            Industrial Internet can impact 100%                                                Industrial Internet can impact 44%
                    of energy production                                                          of global energy consumption

                                                    Source: GE, Global Strategy & Planning Estimates, 2011


                                                                                                                                                                15
in terms of how it performs within the                     machines and critical systems. There are                      Table 2 provides an illustrative list of major
system and how it interacts with the larger                now millions of machines across the world,                    pieces of rotating machinery in key industry
energy networks. Advances over the last                    ranging from simple electric motors to                        categories. Within this list, there are currently
two decades in process management and                      highly advanced computed cosmography                          over 3 million types of major rotating
automation appear to have been largely                     (CT scanners) used in the delivery of health                  equipment. These numbers are based on a
successful. While some parts of the energy                 care. All of these pieces of equipment are                    basic review of major system processes in
system are being optimized, new efforts                    associated with information (temperature,                     these machines and plants. The high degree
are underway. All of the many machines,                    pressure, vibration and other key indicators)                 of customization within the industrial system
facilities, fleets, and networks involved in               and are valuable to understanding                             makes comparisons difficult. However, a
energy production and conversion have                      performance of the unit itself and in relation                general assessment can be made based on
inefficiencies that can be improved through                to other machines and systems.                                the typical sets of rotating equipment and
the growth of the Industrial Internet.                                                                                   key devices that are targets for monitoring
                                                           One area of particular interest concerns                      and control. The result is an estimate of
Physical Asset Perspective…                                critical rotating machinery. While it is                      “things that spin” in parts of the industrial
Things That Spin                                           probably impossible to know precisely                         system. All of these assets are subject to
                                                           how many machines and devices, fleets,                        temperature, pressure, vibration and other
A third perspective on opportunities to
                                                           and networks exist within the world’s ever                    key metrics, which are already being, or can
expand the Industrial Internet is to look at
                                                           expanding industrial system, it is possible                   be, monitored, modeled, and manipulated
specific physical assets involved in various
                                                           to look at some specific segments to get a                    remotely to provide safety, enhanced
parts of the industrial system. The industrial
                                                           feel for the scale of the industrial system.                  productivity, and operational savings.
system is comprised of huge numbers of



                                 Table 2. Things that Spin: Illustrative List of Rotating Machines                                               # of Global “Big”
                                                                                                                                                  Assets & things
   Sector                                                                                                                                          Plants that spin

   Transportation                                     Rotating Machinery
   Rail: Diesel Electric Engines                     Wheel Motors, Engine, Drives, Alternators                                                    120,000    2,160,000
   Aircraft: Commercial Engines                      Compressors, Turbines, Turbofans                                                             43,000      129,000
   Marine: Bulk Carriers                             Steam Turbines, Reciprocating Engines, Pumps, Generators                                      9,400       84,600

   Oil and Gas                                        Rotating Machinery
   Big Energy Processing Plants (1)                  Compressors, Turbines, Pumps, Generators, Fans, Blowers, Motors                               990         36,900
   Midstream Systems (2)                             Engines, Turbines, Compressors, Turbo Expanders, Pumps, Blowers                              16,300       63,000
   Drilling Equipment: Drillships, Land Rigs etc.    Engines, Generators, Electric Motors, Drilling Works, Propulsion Drives                       4,100       29,200

   Power Plants                                       Rotating Machinery
   Thermal Turbines: Steam, CCGT, etc.               Turbines, Generators                                                                         17,500       74,000
   Other Plants: Hydro, Wind, Engines, etc. (3)      Turbines, Generators, Reciprocating Engines                                                  45,000      190,000

   Industrial Facilities                              Rotating Machinery
   Steel Mills                                       Blast and Basic Oxygen Furnace Systems, Steam Turbines, Handling Systems                      1,600       47,000
   Pulp and Paper Mills                              Debarkers, Radial Chippers, Steam Turbines, Fourdrinier Machines, Rollers                     3,900      176,000
   Cement Plants                                     Rotary Kilns, Conveyors, Drive Motors, Ball Mills                                             2,000       30,000
   Sugar Plants                                      Cane Handling Systems, Rotary Vacuums, Centrifuges, Cystalizers, Evaporators                  650         23,000
   Ethanol Plants                                    Grain Handling Systems, Conveyors, Evaporators, Reboilers, Dryer Fans, Motors                 450         16,000
   Ammonia and Methanol Plants                       Steam Turbines, Reformer and Distillation Systems, Compressors, Blowers                       1,300       45,000

   Medical Machines                                   Rotating Machinery
   CT Scanners                                        Spinning X-Ray Tube Rotors, Spinning Gantries                                               52,000      104,000

Notes: Not exhaustive. (1) includes LNG processing trains, Refineries, and Ethylene steam crackers. (2) includes Compressor and pumping
stations, LNG regasification terminals, Large Crude carriers, gas processing plants. (3) Only counting engines in large scale power generation
greater than 30 MW                                                                                                                               Total 3,207,700
Sources: Multiple aggregated sources including Platts UDI, IHS-CERA, Oil and Gas Journal, Clarkson Research, GE Aviation & Transportation,
InMedica, industrial info, RISI, US Dept. of Energy, GE Strategy and Analytics estimates of large rotating systems


                                                                                                                                                                             16
Commercial Jet Aircraft                                 rotating machinery in the global fleet of        The most common combined cycle
The number of rotating parts and the                    commercial engines.                              configuration today is a 2x1, which uses
potential for instrumentation in the                                                                     two gas turbines and one steam turbine.
                                                        Combined Cycle Power Plants                      In this example, there are 6 major rotating
commercial jet engine fleet is significant.
According to Jet Information Services, there            The opportunities for Industrial Internet        components: 2 gas turbines, 2 gas turbine
are approximately 21,500 commercial jet                 instrumentation are just as vast in the global   generators, one steam turbine and one
aircraft and 43,000 jet engines in service              fleet of power plants. There are 62,500 power    steam turbine generator. Beyond the big
around the world in 2011. Commercial jets               plants operating around the world today          critical systems, we estimate that there
are most commonly powered by a twin jet                 with a capacity of 30 megawatts or greater.      are another 99 rotating components in the
engine configuration. These aircraft take               The total global capacity of power plants is     balance of plant—from feed water pumps to
approximately 3 departures per day, for a               approximately 5,200 gigawatts (GW). These        air compressors. In all, there are 105 rotating
total of 23 million departures annually.13              plants are displayed in Figure 7. Consider       components in a 2x1 combined cycle power
Each jet engine contains many moving parts;             only the large amount of instrumentable          plant that are instrumentable.
however, there are three major pieces of                rotating parts in just one small slice of this
                                                        fleet: combined cycle power plants, which        Consider the implications for the global
rotating equipment: a turbo fan, compressor,
                                                        represent just 2.5 percent of global power       combined cycle fleet. If instrumentation
and turbine. Each of these components will
                                                        plants, or 1,768 plants. These plants have a     was applied to every component in all 1,768
be instrumented and monitored separately.
                                                        global installed capacity of 564 GW.15           plants, this would represent about 10,600
In total, there are approximately 129,000
                                                                                                         major system pieces and 175,000 smaller
major pieces of spinning equipment
                                                        Combined cycle gas turbines use both gas         rotating parts available for instrumentation.
operating in the commercial fleet
                                                        turbines and steam turbines in tandem,           Looking forward over the next 15 years,
today. Beyond the commercial jet fleets,
                                                        converting the same source of heat—natural       another 2,000 combined cycle plants
instrumentation opportunities exist in
                                                        gas—into mechanical and then electric            amounting to 638 GW of capacity are
the military and non-commercial general
                                                        energy. By combining gas and steam               likely to be added to the global industrial
aviation fleets, which are over 10 times as
                                                        turbines, combined cycle gas turbines use        system.16 This will add another 12,000 units
large as the commercial jet aircraft fleet.14
                                                        two thermodynamic cycles (gas turbine            of large rotating equipment and at least
The bottom line is that the opportunities for
                                                        Brayton cycle and a steam turbine                another 200,000 pieces of smaller rotating
instrumentation of jet airline fleets are vast
                                                        Rankine cycle) to improve efficiency and         equipment to complete these plants. If other
and increasing daily. GE Aviation estimates
                                                        reduce operating costs. A combined cycle         types of power plants are considered, the
that to meet the growing needs of air travel
                                                        gas turbine power plant typically uses           scope for further expansion of Industrial
another 32,000 engines might to be added
                                                        multiple sets of gas turbine-steam               Internet technologies is clearly significant.
to the global fleet over the next 15 years.
This represents another 100,000 pieces of               turbine combinations.


Figure 7. Global Power Plant Fleet by Technology




    Fuel Type
         Biomass
         Geothermal
         Solar
         Wind
         Natural Gas
         Oil
         Nuclear
         Hydro
         Coal
         Other

Source: Power plant data source Platts UDI Database, June 2012
Note: Circle size represents installed capacity (MW).


                                                                                                                                                           17
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet
GE industrial internet

More Related Content

What's hot

Eli Lilly and Company, Inc. Case Analysis
Eli Lilly and Company, Inc. Case AnalysisEli Lilly and Company, Inc. Case Analysis
Eli Lilly and Company, Inc. Case AnalysisNeeraj Mehra, CFA
 
Group 04 Maersk Line Case Submission
Group 04 Maersk Line Case SubmissionGroup 04 Maersk Line Case Submission
Group 04 Maersk Line Case SubmissionAshwin Malshe
 
Spotify Business Case
Spotify Business CaseSpotify Business Case
Spotify Business CaseDavid Gorgan
 
Apple INC.: Managing a Global Supply Chain
Apple INC.: Managing a Global Supply ChainApple INC.: Managing a Global Supply Chain
Apple INC.: Managing a Global Supply ChainAyesha Majid
 
United breaks Guitar Casestudy
United breaks Guitar CasestudyUnited breaks Guitar Casestudy
United breaks Guitar CasestudyGangadhara Rao
 
Cola wars case presentation
Cola wars case presentationCola wars case presentation
Cola wars case presentationjkwong5
 
EIS what we learned team2
EIS what we learned team2EIS what we learned team2
EIS what we learned team2teamlamayae
 
Propecia section b_group3
Propecia section b_group3Propecia section b_group3
Propecia section b_group3Prateek Goel
 
McKinsey & Company: Managing Knowledge and Learning
McKinsey & Company:  Managing Knowledge and LearningMcKinsey & Company:  Managing Knowledge and Learning
McKinsey & Company: Managing Knowledge and LearningDisha Ghoshal
 
L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude
L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude
L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude Apoorv Malu
 
allentown materials case study
allentown materials case studyallentown materials case study
allentown materials case studyTushar Mittal
 
Brannigan Foods Case Study Exercise
Brannigan Foods Case Study ExerciseBrannigan Foods Case Study Exercise
Brannigan Foods Case Study ExerciseJuan Manuel Restrepo
 
SG Cowen New Recruits
SG Cowen New RecruitsSG Cowen New Recruits
SG Cowen New RecruitsInes Ha
 
Newell ajal
Newell ajalNewell ajal
Newell ajalAJAL A J
 
AIC Netbooks: Optimizing Product Assembly
AIC Netbooks: Optimizing Product AssemblyAIC Netbooks: Optimizing Product Assembly
AIC Netbooks: Optimizing Product AssemblySonal Ram
 

What's hot (20)

Eli Lilly and Company, Inc. Case Analysis
Eli Lilly and Company, Inc. Case AnalysisEli Lilly and Company, Inc. Case Analysis
Eli Lilly and Company, Inc. Case Analysis
 
Ab inbev m&a
Ab inbev m&a Ab inbev m&a
Ab inbev m&a
 
Group 04 Maersk Line Case Submission
Group 04 Maersk Line Case SubmissionGroup 04 Maersk Line Case Submission
Group 04 Maersk Line Case Submission
 
Spotify Business Case
Spotify Business CaseSpotify Business Case
Spotify Business Case
 
Coca Cola vs Pepsi
Coca Cola vs PepsiCoca Cola vs Pepsi
Coca Cola vs Pepsi
 
Apple INC.: Managing a Global Supply Chain
Apple INC.: Managing a Global Supply ChainApple INC.: Managing a Global Supply Chain
Apple INC.: Managing a Global Supply Chain
 
United breaks Guitar Casestudy
United breaks Guitar CasestudyUnited breaks Guitar Casestudy
United breaks Guitar Casestudy
 
Cola wars case presentation
Cola wars case presentationCola wars case presentation
Cola wars case presentation
 
EIS what we learned team2
EIS what we learned team2EIS what we learned team2
EIS what we learned team2
 
Propecia section b_group3
Propecia section b_group3Propecia section b_group3
Propecia section b_group3
 
McKinsey & Company: Managing Knowledge and Learning
McKinsey & Company:  Managing Knowledge and LearningMcKinsey & Company:  Managing Knowledge and Learning
McKinsey & Company: Managing Knowledge and Learning
 
Montreaux (1)
Montreaux (1)Montreaux (1)
Montreaux (1)
 
L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude
L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude
L'Oreal Of Paris: Bringing "Class To Mass" With Plénitude
 
allentown materials case study
allentown materials case studyallentown materials case study
allentown materials case study
 
Brannigan Foods Case Study Exercise
Brannigan Foods Case Study ExerciseBrannigan Foods Case Study Exercise
Brannigan Foods Case Study Exercise
 
SG Cowen New Recruits
SG Cowen New RecruitsSG Cowen New Recruits
SG Cowen New Recruits
 
Newell ajal
Newell ajalNewell ajal
Newell ajal
 
CVS case
CVS caseCVS case
CVS case
 
Patagonia: Case Analysis
Patagonia: Case AnalysisPatagonia: Case Analysis
Patagonia: Case Analysis
 
AIC Netbooks: Optimizing Product Assembly
AIC Netbooks: Optimizing Product AssemblyAIC Netbooks: Optimizing Product Assembly
AIC Netbooks: Optimizing Product Assembly
 

Similar to GE industrial internet

Belden Total Enterprise Network White Paper
Belden Total Enterprise Network White PaperBelden Total Enterprise Network White Paper
Belden Total Enterprise Network White Paperadventive1
 
Видение компании GE: industrial internet (промышленный интернет)
Видение компании GE: industrial internet (промышленный интернет)Видение компании GE: industrial internet (промышленный интернет)
Видение компании GE: industrial internet (промышленный интернет)Sergey Zhdanov
 
산업인터넷 기술이 바꾸는 M2M 인터랙션
산업인터넷 기술이 바꾸는 M2M 인터랙션산업인터넷 기술이 바꾸는 M2M 인터랙션
산업인터넷 기술이 바꾸는 M2M 인터랙션GE코리아
 
Fog-Computing-Virtualizing-Industry-White-Paper
Fog-Computing-Virtualizing-Industry-White-PaperFog-Computing-Virtualizing-Industry-White-Paper
Fog-Computing-Virtualizing-Industry-White-PaperGraham Beauregard
 
Interoperability and ecosystems: Assembling the industrial metaverse
Interoperability and ecosystems:  Assembling the industrial metaverseInteroperability and ecosystems:  Assembling the industrial metaverse
Interoperability and ecosystems: Assembling the industrial metaverseSiemens
 
Industrial internet
Industrial internetIndustrial internet
Industrial internetEMC
 
Industrial internet: Pushing the Boundaries
Industrial internet: Pushing the BoundariesIndustrial internet: Pushing the Boundaries
Industrial internet: Pushing the BoundariesGE Software
 
The Industrial Internet Of Things - Potential Of Connected Products And Services
The Industrial Internet Of Things - Potential Of Connected Products And ServicesThe Industrial Internet Of Things - Potential Of Connected Products And Services
The Industrial Internet Of Things - Potential Of Connected Products And ServicesBryan K. O'Rourke
 
WEFUSA_IndustrialInternet_Report2015
WEFUSA_IndustrialInternet_Report2015WEFUSA_IndustrialInternet_Report2015
WEFUSA_IndustrialInternet_Report2015Michael Cihra
 
The Cisco Connected Factory
The Cisco Connected FactoryThe Cisco Connected Factory
The Cisco Connected FactoryMainstay
 
Top 10 digital trends for power and utilities
Top 10 digital trends for power and utilities Top 10 digital trends for power and utilities
Top 10 digital trends for power and utilities Olivia Falkner-Lee
 
Industrial Internet White Paper: Pushing the Boundaries of Minds and Machines
Industrial Internet White Paper: Pushing the Boundaries of Minds and MachinesIndustrial Internet White Paper: Pushing the Boundaries of Minds and Machines
Industrial Internet White Paper: Pushing the Boundaries of Minds and MachinesGE
 
산업인터넷이란 무엇인가
산업인터넷이란 무엇인가산업인터넷이란 무엇인가
산업인터넷이란 무엇인가GE코리아
 
GE Industial Internet Vision Paper
GE Industial Internet Vision PaperGE Industial Internet Vision Paper
GE Industial Internet Vision PaperYuko Tominaga
 
Exploring the world of connected enterprises
Exploring the world of connected enterprisesExploring the world of connected enterprises
Exploring the world of connected enterprisesWg Cdr Jayesh C S PAI
 
Harbor Research - Smart Services, Product Analytics, & Intelligence
Harbor Research - Smart Services, Product Analytics, & IntelligenceHarbor Research - Smart Services, Product Analytics, & Intelligence
Harbor Research - Smart Services, Product Analytics, & IntelligenceHarbor Research
 
2009 IBM on Austin Energy Case Study
2009 IBM on Austin Energy Case Study2009 IBM on Austin Energy Case Study
2009 IBM on Austin Energy Case Studyandrescarvallo
 
Computer Applications in Manufacturing Systems, 2009
Computer Applications in Manufacturing Systems, 2009Computer Applications in Manufacturing Systems, 2009
Computer Applications in Manufacturing Systems, 2009Rodzidah Mohd Rodzi
 

Similar to GE industrial internet (20)

Belden Total Enterprise Network White Paper
Belden Total Enterprise Network White PaperBelden Total Enterprise Network White Paper
Belden Total Enterprise Network White Paper
 
Видение компании GE: industrial internet (промышленный интернет)
Видение компании GE: industrial internet (промышленный интернет)Видение компании GE: industrial internet (промышленный интернет)
Видение компании GE: industrial internet (промышленный интернет)
 
산업인터넷 기술이 바꾸는 M2M 인터랙션
산업인터넷 기술이 바꾸는 M2M 인터랙션산업인터넷 기술이 바꾸는 M2M 인터랙션
산업인터넷 기술이 바꾸는 M2M 인터랙션
 
The New Age of the Industrial Internet
The New Age of the Industrial InternetThe New Age of the Industrial Internet
The New Age of the Industrial Internet
 
Fog-Computing-Virtualizing-Industry-White-Paper
Fog-Computing-Virtualizing-Industry-White-PaperFog-Computing-Virtualizing-Industry-White-Paper
Fog-Computing-Virtualizing-Industry-White-Paper
 
Interoperability and ecosystems: Assembling the industrial metaverse
Interoperability and ecosystems:  Assembling the industrial metaverseInteroperability and ecosystems:  Assembling the industrial metaverse
Interoperability and ecosystems: Assembling the industrial metaverse
 
Industrial internet
Industrial internetIndustrial internet
Industrial internet
 
Industrial internet: Pushing the Boundaries
Industrial internet: Pushing the BoundariesIndustrial internet: Pushing the Boundaries
Industrial internet: Pushing the Boundaries
 
The Industrial Internet Of Things - Potential Of Connected Products And Services
The Industrial Internet Of Things - Potential Of Connected Products And ServicesThe Industrial Internet Of Things - Potential Of Connected Products And Services
The Industrial Internet Of Things - Potential Of Connected Products And Services
 
WEFUSA_IndustrialInternet_Report2015
WEFUSA_IndustrialInternet_Report2015WEFUSA_IndustrialInternet_Report2015
WEFUSA_IndustrialInternet_Report2015
 
The Cisco Connected Factory
The Cisco Connected FactoryThe Cisco Connected Factory
The Cisco Connected Factory
 
Top 10 digital trends for power and utilities
Top 10 digital trends for power and utilities Top 10 digital trends for power and utilities
Top 10 digital trends for power and utilities
 
Industrial Internet White Paper: Pushing the Boundaries of Minds and Machines
Industrial Internet White Paper: Pushing the Boundaries of Minds and MachinesIndustrial Internet White Paper: Pushing the Boundaries of Minds and Machines
Industrial Internet White Paper: Pushing the Boundaries of Minds and Machines
 
산업인터넷이란 무엇인가
산업인터넷이란 무엇인가산업인터넷이란 무엇인가
산업인터넷이란 무엇인가
 
GE Industial Internet Vision Paper
GE Industial Internet Vision PaperGE Industial Internet Vision Paper
GE Industial Internet Vision Paper
 
Exploring the world of connected enterprises
Exploring the world of connected enterprisesExploring the world of connected enterprises
Exploring the world of connected enterprises
 
Harbor Research - Smart Services, Product Analytics, & Intelligence
Harbor Research - Smart Services, Product Analytics, & IntelligenceHarbor Research - Smart Services, Product Analytics, & Intelligence
Harbor Research - Smart Services, Product Analytics, & Intelligence
 
2009 IBM on Austin Energy Case Study
2009 IBM on Austin Energy Case Study2009 IBM on Austin Energy Case Study
2009 IBM on Austin Energy Case Study
 
On the Path to a Smarter World
On the Path to a Smarter WorldOn the Path to a Smarter World
On the Path to a Smarter World
 
Computer Applications in Manufacturing Systems, 2009
Computer Applications in Manufacturing Systems, 2009Computer Applications in Manufacturing Systems, 2009
Computer Applications in Manufacturing Systems, 2009
 

More from Business of Software Conference

BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your JobBoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your JobBusiness of Software Conference
 
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...Business of Software Conference
 
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & EngineeringBoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & EngineeringBusiness of Software Conference
 
BoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers WorkBoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers WorkBusiness of Software Conference
 
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing EngineBoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing EngineBusiness of Software Conference
 
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote CompaniesBoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote CompaniesBusiness of Software Conference
 
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the WorldBoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the WorldBusiness of Software Conference
 
BoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a DecadeBoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a DecadeBusiness of Software Conference
 
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the DyingBoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the DyingBusiness of Software Conference
 
BoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBDBoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBDBusiness of Software Conference
 
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem ShootingBoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem ShootingBusiness of Software Conference
 
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdfBoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdfBusiness of Software Conference
 

More from Business of Software Conference (20)

BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your JobBoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
BoSUSA23 | Greg Baugues | Someone Using AI Will Take Your Job
 
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
BoSUSA23 | Kyle Bazzy & Derik Sutton | Rethinking Sales From the Demand Side ...
 
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & EngineeringBoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
BoSUSA23 | Chris Spiek & Justin Dickow | Autobooks Product & Engineering
 
BoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers WorkBoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
BoSON23 | Tim Wilkinson | Making First Hire Product Managers Work
 
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing EngineBoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
BoSON23 | Lucy Heskins | How To Use Your Product As A Marketing Engine
 
BoSON23 | Mark Gibson | Better B2B Sales
BoSON23 | Mark Gibson | Better B2B SalesBoSON23 | Mark Gibson | Better B2B Sales
BoSON23 | Mark Gibson | Better B2B Sales
 
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote CompaniesBoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
BoSON23 | Alex Osterwalder | Coaching & Leadership in Remote Companies
 
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the WorldBoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
BoSEU24 | Oyinda Bamgbose | How Tech Can Still Save the World
 
BoSEU24 | Ninnu Campbell | How to Make People Fail
BoSEU24 | Ninnu Campbell | How to Make People FailBoSEU24 | Ninnu Campbell | How to Make People Fail
BoSEU24 | Ninnu Campbell | How to Make People Fail
 
BoSEU24 | Joe Leech | Seven Traits of the Modern CEO
BoSEU24 | Joe Leech | Seven Traits of the Modern CEOBoSEU24 | Joe Leech | Seven Traits of the Modern CEO
BoSEU24 | Joe Leech | Seven Traits of the Modern CEO
 
BoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a DecadeBoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
BoSEU24 | Imogen Wethered | How to Sell a Business in a Decade
 
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the DyingBoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
BoSEU24 | Eleanor Gunn | The Top Five Regrets of the Dying
 
BoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBDBoSEU24 | Claire Suellentrop | How to Operationalise JTBD
BoSEU24 | Claire Suellentrop | How to Operationalise JTBD
 
BoSEU24 | Bruce McCarthy | Aligning Executive Teams
BoSEU24 | Bruce McCarthy | Aligning Executive TeamsBoSEU24 | Bruce McCarthy | Aligning Executive Teams
BoSEU24 | Bruce McCarthy | Aligning Executive Teams
 
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem ShootingBoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
BoSEU24 | Bob Moesta | Live JTBD Case Studies + Problem Shooting
 
BoSEU24 | Bill Thompson | Talk From Another Century
BoSEU24 | Bill Thompson | Talk From Another CenturyBoSEU24 | Bill Thompson | Talk From Another Century
BoSEU24 | Bill Thompson | Talk From Another Century
 
BoSUSA22 | Mikey Trafton | Finding Your Super Powers
BoSUSA22 | Mikey Trafton | Finding Your Super PowersBoSUSA22 | Mikey Trafton | Finding Your Super Powers
BoSUSA22 | Mikey Trafton | Finding Your Super Powers
 
BoSON22 | Tony Ulwick | The ‘JTBD Needs’ Framework
BoSON22 | Tony Ulwick | The ‘JTBD Needs’ FrameworkBoSON22 | Tony Ulwick | The ‘JTBD Needs’ Framework
BoSON22 | Tony Ulwick | The ‘JTBD Needs’ Framework
 
BoSON22 | Rita McGrath | Discovery Driven Planning
BoSON22 | Rita McGrath | Discovery Driven PlanningBoSON22 | Rita McGrath | Discovery Driven Planning
BoSON22 | Rita McGrath | Discovery Driven Planning
 
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdfBoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
BoSON22 | Rich Mironov | Resolving Incompatible World Views - Slides.pdf
 

Recently uploaded

New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesZilliz
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek SchlawackFwdays
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 

Recently uploaded (20)

New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Vector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector DatabasesVector Databases 101 - An introduction to the world of Vector Databases
Vector Databases 101 - An introduction to the world of Vector Databases
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
"Subclassing and Composition – A Pythonic Tour of Trade-Offs", Hynek Schlawack
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 

GE industrial internet

  • 1. Industrial Internet: Pushing the Boundaries of Minds and Machines Peter C. Evans and Marco Annunziata November 26, 2012
  • 2. Table of Contents I. Executive Summary 3-4 II. Innovation and Productivity: What’s Next? 5-6 III. Waves of Innovation and Change 7-12 The First Wave: The Industrial Revolution The Second Wave: The Internet Revolution The Third Wave: The Industrial Internet IV. How Big is the Opportunity? Three Perspectives 13-18 Economic Perspective Energy Consumption Perspective Physical Asset Perspective… Things That Spin V. The Benefits of the Industrial Internet 19-30 Industrial Sector Benefits: The Power of One Percent Commercial Aviation Rail Transportation Power Production Oil & Gas Development and Delivery Healthcare Economy-wide Gains: The Next Productivity Boom The Great Fizzling The Internet Revolution Return of the Skeptics Industrial Internet: Here Comes the Next Wave How Much of a Difference Would it Make? Industrial Internet and Advanced Manufacturing Impact on the Global Economy Role of Business Practices and the Business Environment VI. Enablers, Catalysts and Conditions 31-33 Innovation Infrastructure Cyber Security Management Talent Development VII. Conclusions 34 VIII. Endnotes and Acknowledgements 35-37
  • 3. I. Executive Summary Revolution, and the more recent powerful advances in computing, information and frequency real-time data brings a whole new level of insight on system operations. communication systems brought to the Machine-based analytics offers yet another The world is on the threshold of a new era of fore by the Internet Revolution. dimension to the analytic process. The innovation and change with the rise of the combination of physics- based approaches, Together these developments bring together deep sector specific domain expertise, Industrial Internet. It is taking place through three elements, which embody the essence more automation of information flows, and the convergence of the global industrial of the Industrial Internet: predictive capabilities can join with the system with the power of advanced computing, analytics, low-cost sensing Intelligent machines: New ways of existing suite of “big data” tools. The result and new levels of connectivity permitted connecting the word’s myriad of machines, is the Industrial Internet encompasses by the Internet. The deeper meshing of the facilities, fleets and networks with advanced traditional approaches with newer hybrid digital world with the world of machines sensors, controls and software applications. approaches that can leverage the power holds the potential to bring about profound of both historic and real-time data with Advanced Analytics: Harnessing the transformation to global industry, and in industry specific advanced analytics. power of physics-based analytics, predictive turn to many aspects of daily life, including algorithms, automation and deep domain Building Blocks and “Things that Spin” the way many of us do our jobs. These expertise in material science, electrical innovations promise to bring greater speed engineering and other key disciplines The Industrial Internet starts with and efficiency to industries as diverse required to understand how machines and embedding sensors and other advanced as aviation, rail transportation, power larger systems operate. instrumentation in an array of machines generation, oil and gas development, and from the simple to the highly complex. This People at work: connecting people, health care delivery. It holds the promise of allows the collection and analysis of an whether they be at work in industrial stronger economic growth, better and more enormous amount of data, which can be facilities, offices, hospitals or on the move, jobs and rising living standards, whether in used to improve machine performance, and at any time to support more intelligent the US or in China, in a megacity in Africa or inevitably the efficiency of the systems and design, operations, maintenance as well as in a rural area in Kazakhstan. networks that link them. Even the data itself higher quality service and safety. can become “intelligent,” instantly knowing With better health outcomes at lower cost, which users it needs to reach. Connecting and combining these elements substantial savings in fuel and energy, offers new opportunities across firms and better performing and longer-lived In the aviation industry alone, the potential and economies. For example, traditional physical assets, the Industrial Internet will is tremendous. There are approximately statistical approaches use historical data deliver new efficiency gains, accelerating 20,000 commercial aircraft operating with gathering techniques where often there productivity growth the way that the 43,000 commercial jet engines in service. is more separation between the data, the Industrial Revolution and the Internet Each jet engine, in turn, contains three analysis, and decision making. As system Revolution did. And increased productivity major pieces of rotating equipment which monitoring has advanced and the cost of means faster improvement in income and could be instrumented and monitored information technology has fallen, the ability living standards. In the US, if the Industrial separately. Imagine the efficiencies in to work with larger and larger volumes of Internet could boost annual productivity engine maintenance, fuel consumption, real-time data has been expanding. High growth by 1-1.5 percentage points, bringing crew allocation, and scheduling when it back to its Internet Revolution peaks, then over the next twenty years through Figure 1. Key Elements of the Industrial Internet the power of compounding it could raise average incomes by an impressive 25-40 percent of today’s level over and above the current trend. And as innovation spreads 1 2 3 globally, if the rest of the world could secure half of the US productivity gains, the Industrial Internet could add a sizable $10- 15 trillion to global GDP – the size of today’s Intelligent Advanced People at U.S. economy – over the same horizon. In Machines Analytics Work today’s challenging economic environment, Connect the Combines the Connecting people at securing even part of these productivity world’s machines, power of physics- work or on the move, gains could bring great benefits at both the facilities, fleets based analytics, any time to support individual and economy-wide level. and networks predictive more intelligent with advanced algorithms, design, operations, The Next Wave sensors, controls automation and maintenance and How will this be possible? The Industrial and software deep domain higher service Internet brings together the advances applications expertise quality and safety of two transformative revolutions: the myriad machines, facilities, fleets and networks that arose from the Industrial 3
  • 4. Table 1: Industrial Internet: The Power of 1 Percent availability of private, semi-public, or public cloud-based systems may displace the What if... Potential Performance Gains in Key Sectors need for isolated systems. The result could be a more rapid closing of the productivity gap between advanced and emerging Estimated Value Industry Segment Type of Savings Over 15 Years nations. And in the process, the Industrial (Billion nominal US dollars) Internet would ease resource and financial constraints, making robust global growth Aviation Commercial 1% Fuel Savings $30B more sustainable. Enablers and Catalysts Power Gas-fired Generation 1% Fuel Savings $66B The Industrial Internet will require putting in place a set of key enablers and catalysts: 1% Reduction in $63B Healthcare System-wide System Inefficiency • A sustained effort in technological innovation is needed, along with investment 1% Reduction in to deploy the necessary sensors, Rail Freight System Inefficiency $27B instrumentation and user interface systems. Investment will be a fundamental condition to Exploration & 1% Reduction in rapidly transfer new technologies into capital Oil & Gas Capital Expenditures $90B Development stock. The pace of Industrial Internet growth will ultimately be driven by how cost effective Note: Illustrative examples based on potential one percent savings applied across specific global industry sectors. and beneficial they can be relative to current Source: GE estimates practice. The costs of deploying the Industrial Internet will likely be sector and region ‘intelligent aircraft’ can communicate with improvement in fuel savings would yield a specific, but the assumption is that the costs operators. That is just today. In the next 15 savings of $30 billion over 15 years. Likewise, of deployment will be providing a positive years, another 30,000 jet engines will likely a one percent efficiency improvement in the return for technology dollars invested. go into service as the global demand for air global gas-fired power plant fleet could yield service continues to expand. a $66 billion savings in fuel consumption. • A robust cyber security system and The global health care industry will also approaches to manage vulnerabilities Similar instrumentation opportunities exist benefit from the Industrial Internet, through and protect sensitive information and in locomotives, in combined-cycle power a reduction in process inefficiencies: a one intellectual property. plants, energy processing plants, industrial percent efficiency gain globally could yield • Development of a strong talent pool facilities and other critical assets. Overall, more than $63 billion in health care savings. including new cross-cutting roles that there are over 3 million major “things that Freight moved across the world rail networks, combine mechanical and industrial spin” in today’s global industrial asset if improved by one percent could yield engineering into new “digital-mechanical base—and those are just a subset of the another gain of $27 billion in fuel savings. engineers,” data scientists to create the devices where the Industrial Internet can Finally, a one percent improvement in capital analytics platforms and algorithms, and take hold. utilization upstream oil and gas exploration software and cyber security specialists. and development could total $90 billion in Endowing workers with these skills will Power of just one percent avoided or deferred capital expenditures. help ensure that, once again, innovation The benefits from this marriage of These are but a few examples of what can be will result in more jobs as well as machines and analytics are multiple and potentially achieved. higher productivity. significant. We estimate that the technical innovations of the Industrial Internet Broad Global Benefits It will take resources and effort, but could find direct application in sectors As an early mover and source of key the Industrial Internet can transform accounting for more than $32.3 trillion in innovation, the US is at the forefront of our industries and lives— pushing the economic activity. As the global economy the Industrial Internet. Given increasingly boundaries of minds and machines. grows, the potential application of the deeper global integration and ever Industrial Internet will expand as well. By more rapid technology transfer, the 2025 it could be applicable to $82 trillion benefits will be worldwide. In fact, with of output or approximately one half of the emerging markets investing heavily in global economy. infrastructure, early and rapid adoption of Industrial Internet technologies could A conservative look at the benefit to specific act as a powerful multiplier. There may be industries is instructive. If the Industrial opportunities to avoid the same phases of Internet achieves just a one percent development that developed economies efficiency improvement then the results are went through. For example, the use of substantial. For example, in the commercial cables and wires may be avoided by going aviation industry alone, a one percent straight to wireless technology. Or the 4
  • 5. II. Innovation decisioning. We call this convergence the Industrial Internet. We highlight evidence and Productivity: which suggests that a wide range of new innovations can yield significant benefits What’s Next? to business and to the global economy. We believe the skeptics have been too quick to For much of human history, productivity draw conclusions that close the book on growth was barely perceptible, and living productivity gains. Much like the Industrial standards improved extremely slowly. Revolution, the Internet Revolution is Then approximately 200 years ago, a unfolding in dynamic ways—and we are now step change in innovation occurred: the at a turning point. Industrial Revolution, in which muscle power, from both humans and animals, A number of forces are at work to explain was replaced by mechanical power. The why the Industrial Internet is happening Industrial Revolution unfolded in waves, today. The capabilities of machines are Processing gains bringing us the steam engine, the internal not being fully realized. The inefficiencies combustion engine, and then the telegraph, that persist are now much greater at the continue unabated and telephone and electricity. Productivity and economic growth accelerated sharply. Per system level, rather than at the individual physical machine level. Complexity has have reached the point capita income levels in western economies outstripped the ability of human operators to identify and reduce these inefficiencies. where it is possible had taken eight hundred years to double by the early 1800’s; in the following 150 years While these factors are making it harder to to augment physical they rose thirteen-fold. But in the 1970’s, achieve improvements through traditional productivity growth in the US, then at the means, they are creating incentives to machines with digital “frontier” of productivity, fizzled out. apply new solutions arising from Internet- based innovations. Computing, information, intelligence. The second step change in innovation and telecommunication systems can now followed more recently with the rise of support widespread instrumentation, computing and the global internet monitoring, and analytics. The cost of which rested on breakthroughs in instrumentation has declined dramatically, information storage, computing and making it possible to equip and monitor communication technology. Its impact on industrial machines on a widening scale. productivity was even stronger, but seemed Processing gains continue unabated and to lose momentum after just ten years, have reached the point where it is possible around 2005. to augment physical machines with digital intelligence. Remote data storage, big data Some now argue that this is where the story sets and more advanced analytic tools that ends. They acknowledge that businesses can process massive amounts of information and economies have benefited significantly are maturing and becoming more widely from past waves of innovation but are available. Together these changes are pessimistic about the potential for future creating exciting new opportunities when growth in productivity. They argue that applied to machines, fleets and networks. the transformations brought about by the Industrial Revolution were of a one- The rapid decline in the cost of off nature, and their gains have already instrumentation is matched by the impact been realized; that the Internet Revolution of cloud computing, which allows us to has already played out, its innovations gather and analyze much larger amounts being nowhere near as disruptive and of data, and at lower cost, than was ever productivity-enhancing as those of the possible. This creates a cost-deflation trend Industrial Revolution. We challenge this view. In this paper we examine the potential for a new wave of productivity gains. Specifically, we point to how the fruits of the Industrial Revolution and the machines, fleets and physical networks that it brought forth are now converging with the more recent fruits of the Internet Revolution: intelligent devices, intelligent networks and intelligent 5
  • 6. comparable to that which spurred rapid The Industrial Internet will help make each adoption of information and communication of these levels of the industrial system technology (ICT) equipment in the second perform better. It will enable enhanced half of the 1990’s—and which will this asset reliability by optimizing inspection, time accelerate the development of the maintenance and repair processes. It will Industrial Internet. The mobile revolution improve operational efficiency at the level of will also accelerate this deflation trend, fleets as well as larger networks. making it more affordable to efficiently share information and leading to decentralized The conditions are ripe and early evidence optimization and personalized optimization. suggests that this new wave of innovation Remote monitoring and control of industrial is already upon us. In the following pages facilities, distributed power, and personalized we present a framework for thinking about and portable medicine are just some of the how the Industrial Internet will unfold, and most powerful examples. examples of benefits it holds for businesses and more broadly for economies around To fully appreciate the potential, it is the world. important to consider how large the global industrial system has become. There are now millions of machines across the world, ranging from simple electric motors to highly advanced computed tomography (CT) scanners used in the delivery of health care. There are tens of thousands of fleets, ranging from power plants that produce electricity to the aircraft which move people and cargo around the world. There are thousands of complex networks ranging from power grids to railroad systems, which tie machines and fleets together. 6
  • 7. III. Waves period, innovations in technology applied to manufacturing, energy production, of Innovation transportation and agriculture ushered in a period of economic growth and and Change transformation. The first stage started in the mid-eighteenth century with the commercialization of the steam engine. The Industrial Revolution started in Over the last 200 years, the world has Northern Europe, which at the time was experienced several waves of innovation. the most productive economy, and spread Successful companies learned to navigate to the United States, where railways played these waves and adapt to the changing a crucial role in accelerating economic environment. Today we are at the cusp of development.1 The second surge came another wave of innovation that promises to later, in 1870, but was even more powerful, change the way we do business and interact bringing us the internal combustion with the world of industrial machines. To engine, electricity and a host of other fully understand what is taking place today, useful machines. it is useful to review how we got here and how past innovations have set the stage for The Industrial Revolution changed the the next wave we are calling the “Industrial way we lived: it brought about a profound Internet.” transformation in transportation (from the horse-carriage and the sailboat to The First Wave: The Industrial Revolution the railways, steamboats and trucks); in The Industrial Revolution had a profound communication (telephone and telegraph); impact on society, the economy and in urban centers (electricity, running culture of the world. It was a long process water, sanitation and medicine). It of innovation that spanned a period of 150 dramatically transformed living years between 1750 and 1900. During this standards and health conditions.2 Figure 2. Rise of the Industrial Internet Wave 3 Industrial Internet Wave 2 Machine-based Internet analytics: physics- Revolution based, deep domain Computing expertise, automated, Wave 1 power and rise predictive Industrial of distributed Revolution information networks Machines and factories that power economies of scale and scope Innovation Time 7
  • 8. Several key features characterized this In the 1970’s, these closed government 2008, Facebook had 100 million active users. period.3 It was marked by the rise of the and private networks gave way to open Facebook now has over one billion users. In large industrial enterprise spanning new networks and what we now call the World eight years, Facebook enabled more than industries from textiles to steel to power Wide Web. In contrast to the homogenous 140 billion friend connections to be made, production. It created significant economies closed networks used during the first stage 265 billion photos were uploaded, and of scale and corresponding reduction in of the Internet, the open networks were more than 62 million songs were played 22 costs as machines and fleets got larger heterogeneous. A key feature was that billion times.6 and production volumes increased. It standards and protocols were explicitly harnessed the efficiencies of hierarchical designed to permit incompatible The qualities of the Internet Revolution structures, with centralization of control. The machines in diverse locations owned were very different from the Industrial global capital stock of dedicated plant and by different groups to connect and Revolution. The Internet, computing and equipment grew dramatically. Innovation exchange information. the ability to transmit and receive large began to be thought of in a systematic way, amounts of data, have been built on the with the rise of central laboratories and Openness and flexibility of the network were creation and value of networks, horizontal centers for research and development (R&D). key elements that created the basis for its structures and distributed intelligence. Enterprises, both large and small, worked to explosive growth. The speed of growth was It changed thinking about production harness new inventions in order to create breathtaking. In August 1981 there were systems by permitting deeper integration and profit from new markets. less than 300 computers connected to the and more flexible operations. Also, rather Internet. Fifteen years later the number had than an ordered linear approach to Despite the enormous gains reaped by climbed to 19 million.4 Today the number research and development, the Internet the economy and society, the Industrial is in the billions. Speed and volume of has enabled concurrent innovation. The Revolution also had a downside. The information transmitted grew dramatically. ability to exchange information rapidly and global economic system became more In 1985 the very best modems were only decentralize decision-making has spawned highly resource-intensive and had a capable of speeds of 9.6 kilobits per second more collaborative work environments more significant impact on the external (Kbps). The first generation of iPhone, by that are unconstrained by geography. As a environment as a result of both resource contrast, was 400 times faster, capable of consequence, older models of centralized extraction and industrial waste streams. transmitting information at 3.6 megabits internal innovation have ceded ground to In addition, working conditions during per second (Mbps).5 start-ups and more open innovation models this era needed vast improvement . Much that harness an environment of more of the incremental innovation that has The combination of speed and volume abundant knowledge. Thus, rather than occurred since the Industrial Revolution created powerful new platforms for resource- intensive, the Internet Revolution has been focused on improving efficiency, commerce and social exchange by driving has been information and knowledge- reducing waste and enhancing the down the cost of commercial transactions intensive. It has highlighted the value of working environment . and social interactions. Companies went networks and the creation of platforms. from selling nothing over the internet to It has opened up new avenues to reduce The Second Wave: The Internet Revolution creating large new efficient markets for environmental footprints and support more At the end of the twentieth century, the exchange. In some cases this involved eco-friendly products and services. Internet Revolution changed the world yet existing companies shifting to new digital again. The timeframe in which it unfolded platforms; however, the vast majority of was much shorter, taking place over the innovation and ferment centered on about 50 years instead of 150; but like the the creation of brand new companies and Industrial Revolution, the Internet Revolution capabilities. When eBay began in 1995, it unfolded in stages. The first stage started in closed the year with 41,000 users trading the 1950’s with large main frame computers, $7.2 million worth of goods. By 2006, it software and the invention of “information- had 22 million users trading $52.5 billion packets” which permitted computers to worth of goods. Social networking had a communicate with one another. The first similar trajectory. Facebook was launched stage consisted of experimentation with in February 2004 and in less than a year government-sponsored computer networks. reached 1 million active users. By August 8
  • 9. The Third Wave: The Industrial Internet deeply merge with the connectivity, big data • Advanced Analytics: Advances in Today, in the twenty-first century, the and analytics of the digital world. “big data” software tools and analytic Industrial Internet promises to transform techniques provide the means to understand our world yet again. The melding of the Intelligent Devices the massive quantities of data that are global industrial system that was made Providing digital instrumentation to generated by intelligent devices. possible as a result of the Industrial industrial machines is the first step in the Revolution, with the open computing and Industrial Internet Revolution. Several factors Together, these forces are changing the cost communication systems developed as part have aligned to make the widespread and value of collecting, analyzing and acting of the Internet Revolution, opens up new instrumentation of industrial machines on data that has existed in theory but has frontiers to accelerate productivity, reduce not only possible, but economically viable. not been fully harnessed in practice. inefficiency and waste, and enhance the Widespread instrumentation is a necessary Making sense of the rivers of data that can human work experience. condition for the rise of the Industrial be generated by intelligent devices is one Internet. Several forces are at work to Indeed, the Industrial Internet Revolution is of the key components of the Industrial make machines and collections of already underway. Companies have been Internet. As illustrated in Figure 3, the machines more intelligent. applying Internet-based technologies to Industrial Internet can be thought of in • Costs of deployment: Instrumentation terms of the flow and interaction of data, industrial applications as they have become costs have declined dramatically, making available over the last decade. However, hardware, software and intelligence. Data it possible to equip and monitor industrial is harvested from intelligent devices and we currently stand far below the possibility machines in a more economical manner frontier: the full potential of Internet-based networks. The data is stored, analyzed and than in the past. visualized using big data and analytics tools. digital technology has yet to be fully realized across the global industry system. Intelligent • Computing power: Continued The resultant “intelligent information” can devices, intelligent systems, and intelligent improvements in microprocessor chips then be acted upon by decision makers, in decisioning represent the primary ways have reached a point that now makes it real-time if necessary, or as part of broader in which the physical world of machines, possible to augment physical machines industrial assets optimization or strategic facilities, fleets and networks can more with digital intelligence. decision processes across widely diverse industrial systems. Figure 3. Applications of the Industrial Internet Ne imiz op nt lligeoning t LD tw at or ion R Inte cisi k L WO de B leet tion ITA op E ent F iza tim N IG elligtems E D Int ys F I T Fa miza s S cilit tion op ti ent ellig ices y Int dev op As iza tim se tio t n s w ork Net IN ets Fle D U S T ties R ili IA Fac L W O s ine R ch L Ma D 9
  • 10. Figure 4. Industrial Internet Data Loop Instrumented Intelligence flows Industrial Machine back into machines Extraction and storage Physical and of proprietary machine Human Networks data stream Data terabytes store now query time mobile databases tools compressionbig Storage data database Twitter support SQL big data new storage processing Industrial information analyses analysis Data Systems example column-store SECURE, CLOUD- Data sharing with BASED NETWORK the right people and machines Machine-based 0 1 10 1 0001101000100101101010 1 10 0 0 0 10 1 0001100101101101000010 1 10 1 algorithms and 1 0 10 1 1001000101101000110100 1 10 1 0 1 10 0 1001011010001101000010 1 10 0 data analysis 1 0 11 0 1010000100110110010100 0 11 0 1 0 10 0 1001011000011010001101 0 10 0 0 1 10 1 0010100101000100110010 1 10 1 0 1 10 0 1010000100110110010100 1 10 0 0 0 11 0 1001011010001101000010 0 11 0 1 0 10 0 1001011000011010001101 0 10 0 0 1 10 1 0010100101000100110010 1 10 1 1 0 10 0 1001011010001101000011 0 10 0 Remote and 0 1 10 1 1001001010001101000010 1 10 1 1 1 10 1 1001000101101000110100 1 10 1 Centralized Data 0 1 10 1 0001100101101101000010 1 10 1 1 1 10 1 0001101000100101101010 1 10 1 Visualization Big Data Analytics Intelligent information can also be shared transferred to remote locations for analysis predictive analytics can be combined to across machines, networks, individuals or and storage. Determining the degree of local avoid unplanned outages and minimize groups to facilitate intelligent collaboration data residency is one of the keys to ensuring maintenance costs. and better decision making. This enables a the security of the Industrial Internet and broader group of stakeholders to engage the many and diverse companies who will All of these benefits come from machine in asset maintenance, management and benefit from being a part of it. The important instrumentation using existing information optimization. It also ensures that local and point here is that new innovations are technologies and doing so in ways that remote individuals that have machine- permitting sensitive data generated by an enable people to do their jobs more specific expertise are brought into the fold instrumented machine to remain on-board, effectively. This is what makes the wide- at the right time. Intelligent information where it belongs. Other data streams will spread deployment of intelligent devices can also be fed back to the originating be transferred remotely so that they can be so potentially powerful. In an era when machine. This not only includes data that visualized, analyzed, augmented and acted it is increasingly challenging to squeeze was produced by the originating machine, upon, as appropriate, by people at work or more productivity from high-performance but also external data that can enhance on the move. machines such as highly-engineered the operation or maintenance of machines, aircraft engines, the broad deployment fleets and larger systems. This data feedback Over time, these data flows provide a history of intelligent devices holds the potential loop enables the machine to “learn” from of operations and performance that enables to unlock additional performance and its history and behave more intelligently operators to better understand the condition operational efficiencies. through on-board control systems. of the critical components of the plant. Operators can understand how many hours Each instrumented device will produce large a particular component has been operating quantities of data that can be transferred and under what conditions. Analytic tools via the Industrial Internet network to remote can then compare this information to the machines and users. An important part of operating histories of similar components the implementation of the Industrial Internet in other plants to provide reliable estimates will involve determining which data remains of the likelihood and timing of component resident on devices and which data is failure. In this manner, operating data and 10
  • 11. Intelligent Systems the event of major storms, earthquakes or The potential benefits of intelligent systems other natural hazards, a network of smart are vast. Intelligent systems include a meters, sensors, and other intelligent devices variety of traditional networked systems, and systems can be used to quickly detect but the definition is broader to encompass and isolate the biggest problems so that the combination of widespread machine they do not cascade and cause a blackout. instrumentation with software as deployed Geographic and operational information across fleets and networks. As an increasing can be combined to support utility number of machines and devices join the recovery efforts. Industrial Internet, the synergistic effects of Learning: Network learning effects are widespread machine instrumentation can another benefit of machine interconnection be realized across fleets and networks. with a system. The operational experiences Intelligent systems come in a number of of each machine can be aggregated into a different forms: single information system that accelerates learning across the machine portfolio in Network Optimization: The operation a way that is not possible with a single of interconnected machines within a machine. For example, data collected from Each machine can system can be coordinated to achieve airplanes coupled with information about operational efficiencies at the network location and flight history can provide be aggregated into level. For example, in health care, assets a wealth of information about airplane performance in a variety of environments. a single information can be linked to help doctors and nurses route patients to the correct device more The insights derived from this data are system that accelerates quickly. Information can then be seamlessly transmitted to care providers and patients actionable and can be used to make the entire system smarter, thereby driving learning across the resulting in shorter wait times, higher a continuous process of knowledge equipment utilization, and better quality accumulation and insight implementation. machine portfolio. care. Intelligent systems are also well suited for route optimization within transportation Building out intelligent systems harnesses networks. Interconnected vehicles will the benefits of widely deploying intelligent know their own location and destination, devices. Once an increasing number of but also can be alerted to the location and machines are connected within a system, destination of other vehicles in the system— the result is a continuously expanding, allowing optimization of routing to find the self-learning system that grows smarter most efficient system-level solution. over time. Maintenance Optimization: Optimal, low-cost, machine maintenance across fleets can also be facilitated by intelligent systems. An aggregate view across machines, components and individual parts provides a line of sight on the status of these devices and enables the optimal number of parts to be delivered at the right time to the correct location. This minimizes parts inventory requirements and maintenance costs, and provides higher levels of machine reliability. Intelligent system maintenance optimization can be combined with network learning and predictive analytics to allow engineers to implement preventive maintenance programs that have the potential to lift machine reliability rates to unprecedented levels. System Recovery: Establishing broad system-wide intelligence can also assist in more rapidly and efficiently restoring systems after major shocks. For example, in 11
  • 12. Intelligent DECISIONING and analyze high frequency real-time data The full power of the Industrial Internet will brings a new level of insight on system be realized with a third element—Intelligent operations. Machine-based analytics offer Decisioning. Intelligent Decisioning occurs yet another dimension to the analytic when enough information has been process. Using a combination of physics- gathered from intelligent devices and based methodologies, deep sector-specific systems to facilitate data-driven learning, domain expertise, increased automation of which in turn enables a subset of machine information flows, and predictive techniques, and network-level operational functions advanced analytics can be joined with the to be transferred from operators to secure existing suite of “big data” tools. The result digital systems. This element of the Industrial is the Industrial Internet encompasses Internet is essential to grapple with the traditional approaches with newer hybrid increasing complexity of interconnected approaches that can leverage the power machines, facilities, fleets and networks. of both historic and real-time data with industry-specific advanced analytics. Consider fully instrumented networks of The full potential of the Industrial Internet facilities or fleets across wide geographic will be felt when the three primary digital locations. Operators need to quickly make elements—intelligent devices, intelligent thousands of decisions to maintain optimal systems and intelligent decision-making— system performance. The challenges of this fully merge with physical machines, facilities, complexity can be overcome by enabling fleets and networks. When this occurs, the the system to perform select operations benefits of enhanced productivity, lower with human consent. The burden of costs and reduced waste will propagate complexity is transferred to the digital through the entire industrial economy. system. For example, within an intelligent system, signals to increase the output of a dispatchable power plant will not have to be sent to the operators of individual plants. Instead, intelligent automation will be used to directly co-dispatch flexible plants in response to variable resources like wind and solar power, changes in electricity demand, and the availability of other plants. These capabilities will facilitate the ability of people and organizations to do their jobs more effectively. Intelligent Decisioning is the long-term vision of the Industrial Internet. It is the culmination of the knowledge gathered as the elements of the Industrial Internet are assembled device-by-device and system- by-system. It is a bold vision that, if realized, can unlock productivity gains and reduce operating costs on a scale comparable to the Industrial and Internet Revolutions. Integrating the elements As the intelligent pieces are brought together, the Industrial Internet brings the power of “big data” together with machine-based analytics. Traditional statistical approaches use historical data gathering techniques where often there is more separation between the data, the analysis, and decision making. As system monitoring has advanced and the cost of information technology has fallen, the ability to work with real-time data has been expanding. Greater capability to manage 12
  • 13. IV. How Big is Economic Perspective Traditional economic definitions of global while in developing economies industrial sectors represent about 37 percent of the Opportunity? industry include manufacturing, natural resource extraction, construction, and GDP output. Within this industrial total, manufacturing activities represent 15 Three Perspectives utilities sectors.7 Based on these categories, percent and 20 percent of advanced and developing country economic output, in 2011, global industry represented about 30 percent or $21 trillion of the $70 respectively. Thus, by traditional economic To appreciate the scale of the opportunity trillion dollar world economy.8 Of that, accounting measures, industrial activity of the Industrial Internet it is useful to first manufacturing of goods represented 17 represents roughly one-third of all economic scale the global industrial system. How big is percent of output, while other industries activity, with country-by-country variation. this system? The simple answer is very big. However, there is no single simple measure. including resource extraction and While one-third of the global economy is We therefore suggest three different construction contributed about 13 percent extremely large, it does not capture the full perspectives: economic share, energy of global output. At a regional level, there expanse of the Industrial Internet’s potential. requirements, and physical assets in terms is considerable variation depending on The Industrial Internet will encompass a of machines, facilities, fleets and networks. the economic structure and resource broader array of sectors than captured While not exhaustive, these measures when endowment of any particular country. by conventional economic categories. For taken together provide a useful perspective Within the developed economies, industry example, it will also engage large swaths of on the vast potential scale and scope of the represents roughly 24 percent of output, the transport sector including: Industrial Internet. Figure 5. Industrial Internet Potential GDP Share Global GDP ~$70 Trillion Developing Advanced Economies Economies $29 Trillion $41 Trillion Non-Industrial Industrial Industrial Non-Industrial Economy Economy Economy Economy $18.1 Trillion $10.8 Trillion $9.7 Trillion $31 Trillion Other Other $14.3 Trillion $23.1 Trillion 7 Trillion 7 Trillion 6 Trillion 6 Trillion 5 Trillion 5 Trillion 4 Trillion 4 Trillion 3 Trillion 3 Trillion 2 Trillion 2 Trillion 1 Trillion 1 Trillion Transportation Healthcare Other Industrial Manufacturing Manufacturing Other Industrial Transportation Healthcare $2.2 Trillion $1.7 Trillion $5.3 Trillion $5.5 Trillion $6.1 Trillion $3.6 Trillion $2.6 Trillion $5.3 Trillion Industrial Internet opportunity ( $32.3 Trillion ) 46% share of global economy today Source: World Bank, 2011 and General Electric 13
  • 14. industrial transport fleets and large-scale Industrial Internet will be felt beyond those logistical operations such as aviation, sectors. For example, the positive impact rail, and marine transport.9 In 2011, the on the health sector will result in better global transportation services sector health outcomes, which in turn will result including land, air, marine, pipelines, in fewer workdays lost because of sickness telecommunications and supporting logistics across the rest of the economy. Similarly, services, represented about 7 percent of improvements in transportation and logistics global economic activity. Transportation will benefit all economic activities which rely fleets are critical links in the supply on shipping of goods and on the reliability and distribution chains associated with and efficiency of supply chains. manufacturing and energy production. Here the Industrial Internet helps by optimizing Energy Consumption Perspective timing and flow of goods within heavy industries. In commercial transport services One of the key benefits of the integration of smarter technologies and robust networks About 46 percent of like passenger aircraft, there are further opportunities for optimizing operations and is the ability to create energy saving the global economy or efficiencies and reduce costs. Constraints assets while improving service and safety. on the energy system are intensifying. $32.3 trillion in global Scarcity of resources, need for better Other commercial and government environmental sustainability, and lack of output can benefit from services sectors will also benefit. For example, in health care, finding the critical infrastructure are issues across the world. It might even be argued that the rise of the Industrial Internet. commonalities and analogs in high-volume the Industrial Internet is a direct response secure data can literally be a matter of life to increasing resource constraints and or death. The health care industry, including scarcity. Therefore, another perspective on public and private spending, is estimated to the scale of the Industrial Internet comes comprise 10 percent of the global economy from understanding the energy footprint or $7.1 trillion in 2011—a giant sector of the associated with the global industrial system. global economy by itself. Here the focus of Huge volumes of energy resources are the Industrial Internet shifts from optimizing required to create the goods and services the flow of goods to the flow of information the world needs. If energy production and and workflows of individuals—getting the conversion is considered in addition to right information, to the right person, at the manufacturing and transportation sectors, right time. the scope of the Industrial Internet benefits encompasses more than half of the world’s When traditional industry is combined with energy consumption. the transportation and health services sectors, about 46 percent of the global The energy sector involves the spectrum of economy or $32.3 trillion in global output activities required to create finished energy can benefit from the Industrial Internet. As for consumption including: the global economy grows and industry • Extracting fuels (e.g. oil, gas, coal, grows, this number will grow as well. By uranium) or harnessing water, wind and 2025, we estimate that the share of the solar energies industrial sector (defined here broadly) will grow to approximately 50 percent of the • Refining and processing primary fuels global economy or $82 trillion of future into finished products for delivery (e.g. global output in nominal dollars.10 gasoline, LNG) • Converting those fuels into electricity The technologies of the Industrial Internet will not be instantly applied to the entire asset base corresponding to the 50 percent of the world economy described above. Introducing them will require investment, and the pace of the investment may in turn depend on the speed at which the enabling infrastructures are developed. To this extent, what we have described represents an upper limit, the available envelope. On the other hand, it also limits this envelope to those sectors where the Industrial Internet can find direct application. But the benefits of the 14
  • 15. In 2011, the world produced more than Shifting to the consumption side of the energy The transportation sector is another large 13.0 billion metric tons of energy, when balance, the world’s primary energy sources consumer of energy comprising 27 percent converted to an oil equivalent basis (Btoe) were converted into 9.5 Btoe of useful energy of global energy demand—primarily oil for comparative purposes.11 To help put this products including 1.9 Btoe of electricity and products. Within the transportation sector, in perspective, all the cars and light vehicles 7.1 Btoe of other finished fuels. Industrial approximately half (48 percent) of the fuel in the United States, which now total about end-users consumed 36 percent in the form consumed is in heavy fleets including trucks, 240 million, consumed less than one half of of electricity, diesel fuel, metallurgical coal, buses, aircraft, marine vessels, and rail one Btoe. Of this 13.0 Btoe of global primary natural gas, and chemical feedstocks. This locomotives. The other half of transport energy production, 4.9 Btoe was converted to roughly aligns with the manufacturing sector sector energy (52 percent) is used in light electricity at a conversion efficiency of about described in the economic perspective above. duty vehicles. Using information technology 40 percent and the other 8.1 Btoe was refined, Within the industrial sector, the heaviest and networked devices and systems to processed for impurities, washed (in the energy consumers are the steel and metals optimize transport appears to be one of case of coal) or converted in preparation for industries and the petrochemical industry. the most exciting opportunities from the transport and delivery to energy consumers. Together, these heavy industries represent Industrial Internet. Assuming most of It’s important to recognize there are immense about 50 percent of the industrial energy the large fleets and a portion of the light costs associated with energy production. consumed. Recent studies indicated that duty vehicle fleets can benefit, perhaps To maintain and grow energy supply, the if best practice technologies are deployed, 14 percent of global transportation fuel global energy industry including coal, gas, heavy industry energy consumption could be demand can be impacted by Industrial oil, and power, on average, will require about reduced by 15 to 20 percent.12 The continued Internet technologies. $1.9 trillion dollars (about 3 percent of global and expanded Industrial Internet deployment GDP) in new capital spending each year. The can support this effort through process There are clearly many dimensions and large volume and cost creates tremendous integration, life-cycle optimization, and more challenges in achieving real changes in scope for continued deployment of Industrial efficient utilization and maintenance of global energy consumption. Each system Internet technologies. motors and rotating equipment. and sub-system needs to be evaluated Figure 6: 2011 Global Energy Flows Other Conversion Losses Energy Light-Duty Production Transport 13 BTOE 14% Buildings 32% Other 10% Oil 31% Coal 28% Energy Consumption Gas 22% 9.5 BTOE Renewables 11% Nuclear 5% Hydro 3% Heavy-Duty Electricity Industry Transport Electricity 28% 16% Fuel Input Electricity Conversion Losses Industrial Internet can impact 100% Industrial Internet can impact 44% of energy production of global energy consumption Source: GE, Global Strategy & Planning Estimates, 2011 15
  • 16. in terms of how it performs within the machines and critical systems. There are Table 2 provides an illustrative list of major system and how it interacts with the larger now millions of machines across the world, pieces of rotating machinery in key industry energy networks. Advances over the last ranging from simple electric motors to categories. Within this list, there are currently two decades in process management and highly advanced computed cosmography over 3 million types of major rotating automation appear to have been largely (CT scanners) used in the delivery of health equipment. These numbers are based on a successful. While some parts of the energy care. All of these pieces of equipment are basic review of major system processes in system are being optimized, new efforts associated with information (temperature, these machines and plants. The high degree are underway. All of the many machines, pressure, vibration and other key indicators) of customization within the industrial system facilities, fleets, and networks involved in and are valuable to understanding makes comparisons difficult. However, a energy production and conversion have performance of the unit itself and in relation general assessment can be made based on inefficiencies that can be improved through to other machines and systems. the typical sets of rotating equipment and the growth of the Industrial Internet. key devices that are targets for monitoring One area of particular interest concerns and control. The result is an estimate of Physical Asset Perspective… critical rotating machinery. While it is “things that spin” in parts of the industrial Things That Spin probably impossible to know precisely system. All of these assets are subject to how many machines and devices, fleets, temperature, pressure, vibration and other A third perspective on opportunities to and networks exist within the world’s ever key metrics, which are already being, or can expand the Industrial Internet is to look at expanding industrial system, it is possible be, monitored, modeled, and manipulated specific physical assets involved in various to look at some specific segments to get a remotely to provide safety, enhanced parts of the industrial system. The industrial feel for the scale of the industrial system. productivity, and operational savings. system is comprised of huge numbers of Table 2. Things that Spin: Illustrative List of Rotating Machines # of Global “Big” Assets & things Sector Plants that spin Transportation Rotating Machinery Rail: Diesel Electric Engines Wheel Motors, Engine, Drives, Alternators 120,000 2,160,000 Aircraft: Commercial Engines Compressors, Turbines, Turbofans 43,000 129,000 Marine: Bulk Carriers Steam Turbines, Reciprocating Engines, Pumps, Generators 9,400 84,600 Oil and Gas Rotating Machinery Big Energy Processing Plants (1) Compressors, Turbines, Pumps, Generators, Fans, Blowers, Motors 990 36,900 Midstream Systems (2) Engines, Turbines, Compressors, Turbo Expanders, Pumps, Blowers 16,300 63,000 Drilling Equipment: Drillships, Land Rigs etc. Engines, Generators, Electric Motors, Drilling Works, Propulsion Drives 4,100 29,200 Power Plants Rotating Machinery Thermal Turbines: Steam, CCGT, etc. Turbines, Generators 17,500 74,000 Other Plants: Hydro, Wind, Engines, etc. (3) Turbines, Generators, Reciprocating Engines 45,000 190,000 Industrial Facilities Rotating Machinery Steel Mills Blast and Basic Oxygen Furnace Systems, Steam Turbines, Handling Systems 1,600 47,000 Pulp and Paper Mills Debarkers, Radial Chippers, Steam Turbines, Fourdrinier Machines, Rollers 3,900 176,000 Cement Plants Rotary Kilns, Conveyors, Drive Motors, Ball Mills 2,000 30,000 Sugar Plants Cane Handling Systems, Rotary Vacuums, Centrifuges, Cystalizers, Evaporators 650 23,000 Ethanol Plants Grain Handling Systems, Conveyors, Evaporators, Reboilers, Dryer Fans, Motors 450 16,000 Ammonia and Methanol Plants Steam Turbines, Reformer and Distillation Systems, Compressors, Blowers 1,300 45,000 Medical Machines Rotating Machinery CT Scanners Spinning X-Ray Tube Rotors, Spinning Gantries 52,000 104,000 Notes: Not exhaustive. (1) includes LNG processing trains, Refineries, and Ethylene steam crackers. (2) includes Compressor and pumping stations, LNG regasification terminals, Large Crude carriers, gas processing plants. (3) Only counting engines in large scale power generation greater than 30 MW Total 3,207,700 Sources: Multiple aggregated sources including Platts UDI, IHS-CERA, Oil and Gas Journal, Clarkson Research, GE Aviation & Transportation, InMedica, industrial info, RISI, US Dept. of Energy, GE Strategy and Analytics estimates of large rotating systems 16
  • 17. Commercial Jet Aircraft rotating machinery in the global fleet of The most common combined cycle The number of rotating parts and the commercial engines. configuration today is a 2x1, which uses potential for instrumentation in the two gas turbines and one steam turbine. Combined Cycle Power Plants In this example, there are 6 major rotating commercial jet engine fleet is significant. According to Jet Information Services, there The opportunities for Industrial Internet components: 2 gas turbines, 2 gas turbine are approximately 21,500 commercial jet instrumentation are just as vast in the global generators, one steam turbine and one aircraft and 43,000 jet engines in service fleet of power plants. There are 62,500 power steam turbine generator. Beyond the big around the world in 2011. Commercial jets plants operating around the world today critical systems, we estimate that there are most commonly powered by a twin jet with a capacity of 30 megawatts or greater. are another 99 rotating components in the engine configuration. These aircraft take The total global capacity of power plants is balance of plant—from feed water pumps to approximately 3 departures per day, for a approximately 5,200 gigawatts (GW). These air compressors. In all, there are 105 rotating total of 23 million departures annually.13 plants are displayed in Figure 7. Consider components in a 2x1 combined cycle power Each jet engine contains many moving parts; only the large amount of instrumentable plant that are instrumentable. however, there are three major pieces of rotating parts in just one small slice of this fleet: combined cycle power plants, which Consider the implications for the global rotating equipment: a turbo fan, compressor, represent just 2.5 percent of global power combined cycle fleet. If instrumentation and turbine. Each of these components will plants, or 1,768 plants. These plants have a was applied to every component in all 1,768 be instrumented and monitored separately. global installed capacity of 564 GW.15 plants, this would represent about 10,600 In total, there are approximately 129,000 major system pieces and 175,000 smaller major pieces of spinning equipment Combined cycle gas turbines use both gas rotating parts available for instrumentation. operating in the commercial fleet turbines and steam turbines in tandem, Looking forward over the next 15 years, today. Beyond the commercial jet fleets, converting the same source of heat—natural another 2,000 combined cycle plants instrumentation opportunities exist in gas—into mechanical and then electric amounting to 638 GW of capacity are the military and non-commercial general energy. By combining gas and steam likely to be added to the global industrial aviation fleets, which are over 10 times as turbines, combined cycle gas turbines use system.16 This will add another 12,000 units large as the commercial jet aircraft fleet.14 two thermodynamic cycles (gas turbine of large rotating equipment and at least The bottom line is that the opportunities for Brayton cycle and a steam turbine another 200,000 pieces of smaller rotating instrumentation of jet airline fleets are vast Rankine cycle) to improve efficiency and equipment to complete these plants. If other and increasing daily. GE Aviation estimates reduce operating costs. A combined cycle types of power plants are considered, the that to meet the growing needs of air travel gas turbine power plant typically uses scope for further expansion of Industrial another 32,000 engines might to be added multiple sets of gas turbine-steam Internet technologies is clearly significant. to the global fleet over the next 15 years. This represents another 100,000 pieces of turbine combinations. Figure 7. Global Power Plant Fleet by Technology Fuel Type Biomass Geothermal Solar Wind Natural Gas Oil Nuclear Hydro Coal Other Source: Power plant data source Platts UDI Database, June 2012 Note: Circle size represents installed capacity (MW). 17