Post on 03-Jan-2020
transcript
ee392bIndustrial IoT: Applications
Overview
April 2, 2019
Dimitry Gorinevskywww.stanford.edu/~gorin
IIoT Seminar EE392b ● Spring 2019
EE392b ‐ Spring 2019 Stanford University
Industrial Internet of Things: Applications © Dimitry Gorinevsky 1
Outline
• Why the IIoT?• Class subject• IIoT computing • IIoT applications • Syllabus
EE392b ‐ Spring 2019 Stanford University
Industrial Internet of Things: Applications © Dimitry Gorinevsky 2
WHAT IS INDUSTRIAL IOT?IIoT Class Overview
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IoP and IoT
Internet Revolution• 10‐15% of economy• Internet of People (IoP)
New Digital Revolution• 80% of the economy • Internet of Things (IoT)• Industrial IoT (IIoT)
EE392b ‐ Spring 2019 Stanford University
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IIoT and IoT
IIoT IoT
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IoTIIoT
ConnectedHigh‐costIndustrialAssets
ConnectedLow‐costEnd‐point Devices
IoTIIoT
NEW DIGITAL REVOLUTIONIIoT Class Overview
EE392b - Spring 2019 Stanford University
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New Digital Revolution
• Analyses of the IIoT economic impact
August 2018 © Dimitry Gorinevsky www.stanford.edu/~gorin 7
Value Date CommentGE $32.3 Trillion 2012 Early estimateAccenture $14 Trillion 2015 ConsultingMcKinsey $11 Trillion 2015 Consulting
Current Forecasts (2018‐2019) • $1.2T IoT tech spend; 13.2% per year growth• $0.5T IoT market; 28.5% per year growth
Waves of Change1. The First Industrial Revolution
– Mechanized production; water and steam power
2. The Second Industrial Revolution
– Mass production; power integration
3. Internet Revolution– Automation; electronics and
information technology4. IIoT, the 4th Industrial
Revolution– Digital integration
August 2018 © Dimitry Gorinevsky www.stanford.edu/~gorin 8
GE, 2012
IIOT COMPUTINGIIoT Class Overview
EE392b ‐ Spring 2019 Stanford University
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IT/OT Convergence in the IIoT
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• IT: Enterprise computing. Cloud. Information Technology
Operational Technology
Edge
Device
Cloud IT
• OT: Industrial systems. Secure, closed networks..
Edge computing. Fog.
OT
Enterprise Architecture View
• Applications– Business processes – Data analytics
• Platform – Data management– Computing tech – Most action, so far
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DataArchitecture
TechnologyArchitecture
BusinessArchitecture
ApplicationsArchitecture
TechnologyInvestment
AddedValue
Analytics Disciplines
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IT
OT
Embedded
Modeling and
Simulation
Operations Research
Industrial AI
Decision and Control
Signal Processing
Statistics &Machine Learning
Domains Tools
Persistent DataIIoT
Persistent Data
Digital Twin
• Digital Twin is #4 Gartner Top Ten Strategic Technology Trend for 2019, was #4 in 2018 – Half of all large industrial companies will be using digital twins by 2021
• Industrial AI and Digital Twin – Model‐based, simulation, verification, and validation
• Example– Digital Twin for Maintenance and Logistics
EE392b ‐ Spring 2019 Stanford University
Industrial Internet of Things: Applications © Dimitry Gorinevsky 16
HARDTECHIIoT Class Overview
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Aviation Applications
• OT is hard– Southwest Airlines, GE engine blow out in 2018 – Boeing 737 MAX flight control problem in 2019
• Industrial IoT is hard – IIoT includes OT
EE392b ‐ Spring 2019 Stanford University
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IIoT and Mission‐critical Analytics
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WebAdvertising
0.3%
High-freqTrading
51%
Industrial IoT Analytics
95%
Data ScienceMachine Learning Decision Support Control Systems
99.9999% 99.99999%
RailSystems
CivilAviation
PowerSystems
99.97%
Asset HealthPerformanceSustainmentInsuranceWarrantyUsageSafetyRisk
generality, fast development | reliability, accuracy
ENGCS
OTIT
IIoTIndustrial AI
IIOT APPLICATION EXAMPLESIIoT Class Overview
EE392b - Spring 2019 Stanford University
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Where the Action Is?
• Industry 4.0– European IIoT initiative focused on manufacturing
• IIoT applications for services and operations– 80% of the lifecycle costs
EE392b ‐ Spring 2019 Stanford University
Industrial Internet of Things: Applications © Dimitry Gorinevsky 21
Operations and Support Apps
• Engineering and manufacturing – 10‐15% of the lifecycle cost
• IIoT will change the operations– 65‐80% of the lifecycle cost
August 2018 © Dimitry Gorinevsky www.stanford.edu/~gorin 22
DoD CBM+
Vertical Industries
• The future is already here — it's just not very evenly distributed
• Where is it concentrated for IIoT?– High‐value enterprise application
• Buildings • Transportation• Manufacturing processes
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Building Example
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• IT: Cloud Application – Data aggregation
• OT: ZigBee Network – HVAC equipment
IT
OT
Building System
Cloud
• Predictive monitoring of failures
AUTOMATION LAYERSIIoT Class Overview
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Levels in ISA‐99 Purdue Model
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Cisco
IT
OT
Embedded
Persistent DataIIoT
Persistent Data
Ground Vehicle Example
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Embedded
OT
IT5. Fleet management4. Telematics
3. Integrated info system (head unit)
2. CAN bus functions
1. ECU0. Sensor/Actuator
SYLLABUSIIoT Class Overview
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Planned Lectures
April 2, Introductory LectureApril 9, State of IIoT Adoption, McKinseyApril 16, Data Analytics for IoT, Google Venture CapitalApril 23, Wireless Networks, 3ten8April 30, Large Scale Data Analytics, Boeing AnalytXMay 7, Car Fleet Application, CEO, FireflyMay 14, IoT Connectivity, Cypress SemiconductorMay 21, Managing Risks with IIoT, Munich Re June 4, IoT Space Investment, David Hornick, VC, August Capital
EE392b ‐ Spring 2019 Stanford University
Industrial Internet of Things: Applications © Dimitry Gorinevsky 32
GoogleVentureCapital
McKinsey
IIoT Lecture Map
EE392b ‐ Spring 2019 Stanford University
Industrial Internet of Things: Applications © Dimitry Gorinevsky 33
Bus
IT
OT
Startup Vendor Enterprise
BoeingAnalytX
Cypress Semiconductor
Munich Re
August Capital
Firefly
3ten8
EVOLVING LANDSCAPEIIoT Class Overview
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State of the IIoT
• 2016 Seminar on IIoT – New Wave, IIoT is the future – Upcoming Industry Transformation
• 2017 Seminar on IIoT – Platform efforts. Some application projects– How do we get on the IIoT train?
• 2018 Seminar on IIoT– Venture investor hype cycle is cresting– IoT cloud platforms are emerging – IIoT keeps rising. Tide, not a hype wave
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Industrial Internet of Things: Applications © Dimitry Gorinevsky 35
IIoT in 2019
• Industrial Internet and Digitization by GE– Supernova
• New waves on the tide flow– Digital Twin– Industrial AI
• Greatest barriers to IoT adoption today (Bain)– Security– IT/OT integration – Unclear ROI
EE392b ‐ Spring 2019 Stanford University
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