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ee392b Industrial IoT: Applications
Overview
April 4, 2017
Dimitry Gorinevsky www.stanford.edu/~gorin
Seminar Class ee392b ● Spring 2017
ee392b - Spring 2017 Stanford University
Industrial Internet of Things: Applications Gorinevsky
1
WHAT IS INDUSTRIAL IOT? IIoT Class Overview
ee392b - Spring 2017 Stanford University
Industrial Internet of Things: Applications Gorinevsky
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IIoT and IoT
IIoT IoT
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IoT IIoT
Consumer IoT (CIoT) Enterprise IoT (EIoT)
Connected Industrial High-cost Assets
Connected Low-cost
End-point Devices
INDUSTRIAL REVOLUTION IIoT Analytics
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Stanford University Industrial Internet of Things: Applications
Gorinevsky 4
Digital Revolution
• Software is eating the world (Marc Andreessen, 2011)
• Internet Revolution
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New Industrial Revolution
• Digital revolution: connected people
– 10-15% of the economy
• Industrial IoT revolution: connected machines
– 80% of the economy
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Industrial Revolutions
1. The 1st Industrial Revolution – Mechanized production;
water and steam power
2. The 2nd Industrial Revolution – Mass production; electric
power
3. Internet Revolution – Automation; electronics and
information technology
4. Industrial Internet (IIoT) – Digital integration
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GE, 2012
2nd Industrial Revolution
• Electric power integration – Transmission and distribution
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© IEEE PES
Westinghouse Project
Telluride, CO, 1881
IIoT: 2nd Internet Revolution
• Computing power integration
– Data transmission and distribution
– Digital integration
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Tesla
Industry 4.0
Cloud
ECONOMIC IMPACT IIoT Analytics
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Business Value Estimates
• Analyses of the IIoT economic impact
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Value Date Comment
GE $10-15 Trillion 2014 IIoT
Accenture $14 Trillion 2015 IIoT
McKinsey $11 Trillion 2015 IIoT
Industrie 4.0 $4 Trillion 2014 Manufacturing
Gartner $2 Trillion 2015 Consumer IoT
Cisco $17 Trillion 2015 IoE IIoT+CIoT
Operations and Support
• Development and manufacturing
– 15-20% of the lifecycle cost
• The IIoT will also change operations and support
– 65-80% of the lifecycle cost
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DoD CBM+ 2007
Value chain for industrial goods (PWC, 2015)
Manufacturing
SO WHAT IS NEW ABOUT THE IIOT TECHNOLOGY?
IIoT Class Overview
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IT/OT Convergence in the IIoT
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• IT: Enterprise computing. Data Center. Cloud.
Information Technology
Operational Technology
Fog
Device
Data Center Cloud
IT
• OT: Embedded and industrial systems. Machine to Machine. Secure, closed networks
Fog.
OT
Industrial Automation Levels
• IIoT is the next, higher, level of digital integration
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IT
OT
ISA-99
Purdue
Model
https://blogs.saphana.com/2015/04/13/bridging-chasm-m2m-iot-part-3/
Persistent Data
• IIoT IT systems make use of OT data
• Presently, OT systems consume and use their raw data on-line, but do not accumulate it
• IIoT accumulates OT data as Persistent Data
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IT Systems
OT Systems
Persistent Data
IIOT APPLICATIONS IIoT Analytics
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Applications Gorinevsky 17
Enterprise Architecture View
• IIoT Applications – Analytics: process and
analyze the data
– Operations: business processes
• IIoT Platform – Collect and manage data
– Needed to run applications
– Most action, so far
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Data Architecture
Technology Architecture
Business Architecture
Applications Architecture
Technology Investment
Added Value
Analytical Disciplines
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IT
OT
Embedded
Persistent Data
Modeling and Simulation
Operations Research
Data Science for IIoT
Decision and Control
Signal Processing
Statistics and Machine Learning
EXAMPLE IIoT Class Overview
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Airline IIoT Example
• Aircraft fleet monitoring
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IT
OT
• IT: Airline Data Center
– Aircraft fleet data
• OT: Aircraft on-board network – 1553 Bus
– Avionics
– Flight Data Recorder
Airline IIoT Value Add Applications
• Analyze aggregated fleet operational data
• Asset Management
– Manage engine maintenance and replacement
• Operations
– Improve fleet fuel burn
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CLASS COVERAGE IIoT Analytics
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Planned Lectures
• April 11, Angel
• April 18, Kleiner Perkins
• April 25, Teradata
• May 2, Cisco
• May 9, Konica Minolta
• May 16, Intel
• May 23, Oracle
• May 30, Alchemist Accelerator
• June 6, GE Digital
Industrial Internet of Things: Applications Gorinevsky
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Intel
IIoT Dimensions
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IT
OT
Financier Tech Vendor Enterprise
Kleiner Perkins
Alc
he
mis
t
GE
Cisco
Oracle
Teradata
Konica