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THE INDUSTRIAL
INTERNET OF THINGS (IIOT)
Class 1:Background and Overview of IoT/IIoT
THIS WEEK’S AGENDA
2
6/23 Background and Overview of IoT/IIoT
6/24 The Applications of IIoT
6/25 The Backbone of IIoT: IPv.6
6/26 The #1 IIoT Challenge: Security
6/27 IIoT: Where Do We Go From Here?
THIS WEEK’S AGENDA
3
6/23 Background and Overview of IoT/IIoT
6/24 The Applications of IIoT
6/25 The Backbone of IIoT: IPv.6
6/26 The #1 IIoT Challenge: Security
6/27 IIoT: Where Do We Go From Here?
INTERNET OF THINGS
4
SO WHAT *IS* THE INTERNET OF THINGS
5
• A collection of unique objects gathered in an Internet-like structure
• Term coined by Kevin Ashton in 1999
• Proctor and Gamble, later MIT
• Started primarily as tracking – was basis for RFID
• Outgrowth in tagging: bar codes, QR, digital watermarks, etc
ASHTON’S TAKE ON THE IOT
6
“If we had computers that knew everything there was to
know about things—using data they gathered without any
help from us—we would be able to track and count
everything, and greatly reduce waste, loss and cost. We
would know when things needed replacing, repairing or
recalling, and whether they were fresh or past their best.
The Internet of Things has the potential to change the
world, just as the Internet did. Maybe even more so.“
(2009)
EVERYTHING ABOUT EVERYTHING
7
• IoT quickly grew from simply tracking some objects to the concept of tracking ‘everything
of interest’
• Depending on the definition, you can then monitor ‘parameters of interest’ associated with
each object – not just location (and sometimes location is not of interest)
• There are more than a dozen DIFFERENT definitions of IoT – and growing!
ERICSSON:
8
• “We have a vision of 50 billion connected devices by 2020”
• “Anything that benefits from being connected will be connected”
- IoT Devcon, 2014
SO, WHAT IS THE INDUSTRIAL IOT?
9
• The IoT is now being thought of as two types of network, coined the Human IoT and the
Industrial IoT
• The “Human IoT” is characterized as having human interaction and low failure impact.
• The “Industrial IoT” is characterized as operating without direct human interaction and
oversight, sometimes with potential catastrophic failure impact.
HUMAN IOT (HIOT)
10
• Human-controlled or at least monitored
• Can include a person using a device (phone, tablet,
computer, etc.
• Includes most consumer and wellness devices, although
there is crossover. For example:
• If your connected home thermostat fails, in most cases you will
detect this and it becomes a nuisance issue
• A thermostat in an unoccupied dwelling, or in an industrial
process, or in an area that must be kept at a certain temperature
range for safety can cause a catastrophic failure
INDUSTRIAL IOT (IIOT)
11
• Primarily devices that work with one another without human interaction or intervention
(M2M)
• Robustness, controlled failure modes, security become primary issues
• “Consumer” items can quickly cross over, as a phone app can control your home or even
your car. Or monitor life-critical health issues.
SRI’S VIEW:
MORE INFO, MORE INTELLIGENCE
12
RESEARCH VERSUS MARKET
13
• There are many diverse research efforts into the future of IoT, taking the concept in
different directions
• Many of these increase scope of object count and parameter type and number greatly into
the realm of Big Data (TB and beyond)
• BUT – What is the MARKET driving?
MAIN MARKETS
14
• Building Automation
• Industrial Automation
• Lighting
• Commercial Transportation / Fleet Mgmt
• Enterprise Asset Management
• Smart Cars
• Test and Measurement
• Energy Grid (Smart Grid)
COMMUNICATIONS
15
• Optical – bar code, QR, OCR, bio
• Passive transponder – RFID
• PAN – ZigBee, BTLE, LoPAN, other 15.x
• WiFi (802.11x)
• ISM
• Cell (4G, 5G, 3GPP, CDMA, etc)
• Wired xxbaseT, CAN, others
• Others, “all of the above”
WHAT TO DO WITH ALL THIS DATA??
16
• “to the Cloud!!”
• Big Data principles
• Privacy, security will be huge areas for development
• Regulatory issues that must be met today and in the future
• Sampling and Monte Carlo
• Trends, patterns
GROWTH AREAS
17
• Sensors
• Product tracking from supply chain to end-of-life
• Medical
• Auto
• Protocols and bridging between protocols
• What to do with data overload – communications, analysis, storage
AUTONOMOUS CONTROL
18
• Humans can be out of the loop
• Peer-to-peer
• Speed
• Environment
RELIABILITY
19
• Failure can be catastrophic
• Known failure modes or “fail-safe”
• Toyota gas pedal
20
MEDICAL EXAMPLE
21
THREE MAJOR AREAS OF DEVELOPMENT
22
JUST SOME OF THE COMMUNICATIONS
PROTOCOLS INVOLVED
23
STANDARDS? YEAH, WE GOT ‘EM…
24

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Industrial IOT slides for everyone.ppt

  • 1. THE INDUSTRIAL INTERNET OF THINGS (IIOT) Class 1:Background and Overview of IoT/IIoT
  • 2. THIS WEEK’S AGENDA 2 6/23 Background and Overview of IoT/IIoT 6/24 The Applications of IIoT 6/25 The Backbone of IIoT: IPv.6 6/26 The #1 IIoT Challenge: Security 6/27 IIoT: Where Do We Go From Here?
  • 3. THIS WEEK’S AGENDA 3 6/23 Background and Overview of IoT/IIoT 6/24 The Applications of IIoT 6/25 The Backbone of IIoT: IPv.6 6/26 The #1 IIoT Challenge: Security 6/27 IIoT: Where Do We Go From Here?
  • 5. SO WHAT *IS* THE INTERNET OF THINGS 5 • A collection of unique objects gathered in an Internet-like structure • Term coined by Kevin Ashton in 1999 • Proctor and Gamble, later MIT • Started primarily as tracking – was basis for RFID • Outgrowth in tagging: bar codes, QR, digital watermarks, etc
  • 6. ASHTON’S TAKE ON THE IOT 6 “If we had computers that knew everything there was to know about things—using data they gathered without any help from us—we would be able to track and count everything, and greatly reduce waste, loss and cost. We would know when things needed replacing, repairing or recalling, and whether they were fresh or past their best. The Internet of Things has the potential to change the world, just as the Internet did. Maybe even more so.“ (2009)
  • 7. EVERYTHING ABOUT EVERYTHING 7 • IoT quickly grew from simply tracking some objects to the concept of tracking ‘everything of interest’ • Depending on the definition, you can then monitor ‘parameters of interest’ associated with each object – not just location (and sometimes location is not of interest) • There are more than a dozen DIFFERENT definitions of IoT – and growing!
  • 8. ERICSSON: 8 • “We have a vision of 50 billion connected devices by 2020” • “Anything that benefits from being connected will be connected” - IoT Devcon, 2014
  • 9. SO, WHAT IS THE INDUSTRIAL IOT? 9 • The IoT is now being thought of as two types of network, coined the Human IoT and the Industrial IoT • The “Human IoT” is characterized as having human interaction and low failure impact. • The “Industrial IoT” is characterized as operating without direct human interaction and oversight, sometimes with potential catastrophic failure impact.
  • 10. HUMAN IOT (HIOT) 10 • Human-controlled or at least monitored • Can include a person using a device (phone, tablet, computer, etc. • Includes most consumer and wellness devices, although there is crossover. For example: • If your connected home thermostat fails, in most cases you will detect this and it becomes a nuisance issue • A thermostat in an unoccupied dwelling, or in an industrial process, or in an area that must be kept at a certain temperature range for safety can cause a catastrophic failure
  • 11. INDUSTRIAL IOT (IIOT) 11 • Primarily devices that work with one another without human interaction or intervention (M2M) • Robustness, controlled failure modes, security become primary issues • “Consumer” items can quickly cross over, as a phone app can control your home or even your car. Or monitor life-critical health issues.
  • 12. SRI’S VIEW: MORE INFO, MORE INTELLIGENCE 12
  • 13. RESEARCH VERSUS MARKET 13 • There are many diverse research efforts into the future of IoT, taking the concept in different directions • Many of these increase scope of object count and parameter type and number greatly into the realm of Big Data (TB and beyond) • BUT – What is the MARKET driving?
  • 14. MAIN MARKETS 14 • Building Automation • Industrial Automation • Lighting • Commercial Transportation / Fleet Mgmt • Enterprise Asset Management • Smart Cars • Test and Measurement • Energy Grid (Smart Grid)
  • 15. COMMUNICATIONS 15 • Optical – bar code, QR, OCR, bio • Passive transponder – RFID • PAN – ZigBee, BTLE, LoPAN, other 15.x • WiFi (802.11x) • ISM • Cell (4G, 5G, 3GPP, CDMA, etc) • Wired xxbaseT, CAN, others • Others, “all of the above”
  • 16. WHAT TO DO WITH ALL THIS DATA?? 16 • “to the Cloud!!” • Big Data principles • Privacy, security will be huge areas for development • Regulatory issues that must be met today and in the future • Sampling and Monte Carlo • Trends, patterns
  • 17. GROWTH AREAS 17 • Sensors • Product tracking from supply chain to end-of-life • Medical • Auto • Protocols and bridging between protocols • What to do with data overload – communications, analysis, storage
  • 18. AUTONOMOUS CONTROL 18 • Humans can be out of the loop • Peer-to-peer • Speed • Environment
  • 19. RELIABILITY 19 • Failure can be catastrophic • Known failure modes or “fail-safe” • Toyota gas pedal
  • 20. 20
  • 22. THREE MAJOR AREAS OF DEVELOPMENT 22
  • 23. JUST SOME OF THE COMMUNICATIONS PROTOCOLS INVOLVED 23
  • 24. STANDARDS? YEAH, WE GOT ‘EM… 24