The New Age of the Industrial Internet
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The New Age of the Industrial Internet

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From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Katie Moore Global Industry Manager – Food & Beverage GE Intelligent Platforms

From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Katie Moore Global Industry Manager – Food & Beverage GE Intelligent Platforms

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The New Age of the Industrial Internet The New Age of the Industrial Internet Presentation Transcript

  • The New Age of the Industrial Internet Katie Moore Global Industry Manager – Food & Beverage GE Intelligent Platforms Imagination at work.
  • Forces Shaping The Industrial Internet Setting the stage for true business transformation 1 Internet of Things A living network of machines data and people 2 Intelligent Machines Increasing system intelligence through embedded software 3 Big Data Transforming massive volumes of information into intelligence 4 Analytics Generating data-driven insights, enhancing asset performance by detecting and predicting
  • In the next five years… % 40 50b #1 of skilled manufacturing workers will retire1 machines will connect to the Internet2 Priority of CIOs is to drive more business insight3 A new generation of workers expects answers at their fingertips. Sources: 1. Wall Street Journal, 11/2/11; 2. More than 50 billion connected devices, ERICSSON, 2011; 3. The Essential CIO, IBM, 2011
  • Automation is a very conservative industry … for all the right reasons …and pressed to evolve
  • Machine Builders Face An Evolving Market Ship it & Support it Smartphone experience Here today, gone… Long-term relationship Required focus on form and function Accelerating rate of technology change
  • Enabling Technologies SOFTWARE The integration of traditional industries and IT technology reshapes the competitive landscape … CONSUMER ELECTRONICS New levels of computing power and networking enable solutions that are more accessible, simple, and powerful Examples Examples Amazon, Trip Advisor CONNECTIVITY Secure, trusted and high-performance connectivity on public networks Examples Skype, CrashPlan Smartphones Navigation systems COLLABORATION FRAMEWORKS Cloud-based platforms provide faster routes to solutions, higher quality content & better manageability than traditional equivalents … with better financials for all Examples: Wikipedia, Salesforce, Topcoder
  • Common Threads • Self-assembling networks of nodes integrating into ecosystems • Secure, efficient and high performance communication protocols enabling 3rd party device connectivity • Scalable computing power, available on demand • Collaboration platforms with published interfaces as enablers for content creators and consumers
  • The Industrial Internet Brilliant Machines Advanced Analytics Connect machines, facilities, fleets and networks with advanced sensors, controls and software applications Combine the power of physics-based analytics, predictive algorithms, and deep domain expertise People At Work Connect people at work any place, any time for intelligent operations
  • Trans. Aero Thermal Rail Signaling Battery Mining Industrial XD Pow. Conv. Marine Pow. Conv. Drives Pow. Conv. Dynamic Positioning Digital Energy Gas Engines Nuclear Water Controls are pervasive across GE Wind Solar Control Solutions M&C Intelligent Platforms Xinhua Bently Ultrasound F&PT MR Sensing CT Commercial Military Systems LED Aviation Out Indoor door Light Art. Lift Turbo Hydril Subsea = Platform, Sensor, or Actuator products business GE Engineers are the brains behind our products, Controls are the brains on our products
  • Connected Controls Architecture It starts with a platform architecture built for a connect world Capabilities CREATING BRILLIANT MACHINES Technologies Smart, powerful connections ENABLING ADVANCED ANALYTICS SINGLE INTEGRATED ARCHITECTURE Cloud based automation POWERING PEOPLE AT WORK High Performance Platforms ProfiNet networked I/O
  • Connected Data: Time + Data The heart of the Industrial Internet
  • Internet at consumer scale Big Data is easy to grasp … But … what about
  • GE also interacts at consumer scale Just differently …
  • GE Equipment Monitored for reliability and performance 200,000+ assets connected 21,000 aircraft engines 10,000 gas & steam turbines 15,000 wind turbines 110,000 medical equipment 12,500 locomotives Plus… Power transformers Motors Water treatment Pumps, Valves Turbo Machinery Compressors Millions of analytics run daily “Process Industry stores more data than any other sector — close to 2 Exabyte's(1018) of new data stored in 2010.” - McKinsey & Company
  • Big Data for the industrial sector How does data get ‘Big’? Data generated from one of many machines at one of many plants producing a specific personal care product.
  • Forces Shaping The Industrial Internet Setting the stage for true business transformation 1 Internet of Things A living network of machines data and people 2 Intelligent Machines Increasing system intelligence through embedded software 3 Big Data Transforming massive volumes of information into intelligence 4 Analytics Generating data-driven insights, enhancing asset performance by detecting and predicting
  • A view to what we are doing about DATA Plant • Data w /Model Content • Scales with hardware • Centralized administration Machine • • • • 152k samples/sec Embedded Controls Ultra High Speed Writes Small footprint Enterprise • Multiple plants consolidated to single historian • Common Configuration Industrial Big Data Enabling Big Analytics & Visualization 30-2-1 Large Query Performance Unlimited data Unlimited clients Cloud-enabled
  • It’s not just a Big Data challenge Data diversity is equally challenging Field Shop Image Event Design End Of Life Maint. Run my machine better Run my fleet better Run my business better
  • A Predictive Science Evolution What’s the best the can happen? Predictive Modeling Competitive Advantage Optimization What will happen next? Analytics Forecasting/extrapolation What if these trends continue? Statistical analysis Why is this happening? Alerts What actions are needed? Query/drill down What exactly is the problem? Ad hoc reports How many, how often, where? Standard reports What happened? Degree of Intelligence Source: Competing on Analytics, Davenport/Harris, 2007 Access and reporting
  • Delivering Actionable Information
  • To the right place at the right time … RTOI Role Based - GEO Awareness Mobility - Integrated Analytics Trusted Sources • • • • Connectivity Provisioning Exception based Cloud to Site service delivery Industrial Mobility Advanced Information Collaboration HHA HA Temperature L Dev S Dev Setpoint S Dev L Dev LA LLA Time High High Alarm High Alarm Low Alarm Low Low Alarm Small Deviation Large Deviation From data everywhere to actionable knowledge at the right place, right time & right person
  • Analytics at Industrial Scale Ingest diverse and distributed data Advanced Insight from analysis across Machine, Operational, and Financial Data. Requirement Support for multiple data formats Model discovery and multi-model fusion Faster path to superior models Cloud resources for sharing and scale compute Capabilities Elastic compute for massively-parallel simulation and machine learning Features
  • Global Pet Food Processor Improves Quality and Yield CHALLENGES • Lack of tools to the Applicableunderstand what was happening on logsplant floor • Quality data entered on spreadsheets and operator leading to information gaps and errors photo • Opportunity to improve system quality and efficiency RESULTS • Operators able to make decisions based on real-time data and input information at the point of production • Increased uptime, reliability and productivity • Visibility to quality data by SKU enabled formula adjustments that resulted in cost savings of $0.01 per case on one SKU The ability to make data driven process adjustments resulted in a cost reduction of more than $200,000 per year on one SKU in one plant.
  • Starting the Journey to the Industrial Internet … 1 Do you collect meaningful data ? 2 Do you have a strategy to store and access the data you collect ? 3 • Asset Data from Sensors • Process Data • Manufacturing Data • Historian at the line, plant, enterprise level ? • Visualization strategy that puts the right information in the right hands at the right time Have you Prioritized the outcomes you desire ? • • • • • • Higher throughput Less Waste Less Energy usage Higher Quality Better asset life No unscheduled downtime WE CAN HELP RIGHT NOW !
  • THANK YOU