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Industrial IoT and OT/IT
Convergence
Mike McBride
Sept 2017
2
Software continues eating the world
3
"If you went to bed last night as an industrial company, you're
going to wake up today as a software and analytics
company,“ – Jeff Immelt
4
GE’s predix.io
Open Source Software (OSS) Used:
Cloud Foundry | Polymer | Docker | RabbitMQ | Redis | Logstash | Cassandra | Angular | Spring | Apache | Kafka | Jenkins…
Connectivity Cloud Services Applications
Predix Cloud
End-to-End Security
Data Infrastructure
Cloud Foundry
Enterprise Systems
External Data
Predix Machine
Software/Analytics
5
IT/OT are very different worlds
6
OT
ICS
SCADA
DPC
PLC
OT Operational Technology
ICS Industrial Control Systems
PLC Programmable Logic Controllers
DPC Discrete Process Control Systems
SCADA Supervisory Control and Data Acquisition
Why now?
Driving the OT – IT Convergence:
Low cost, powerful technology
• Cheap sensors & devices
• Low-cost processing power, data storage
Connected everything
• By 2020, the number of things connected to the internet will be
approximately 7x the number of people on earth today.
Big Data
• Collecting, storing and analyzing data is now more cost effective
Smarter Machines
• Equipment is increasingly embedded with sensors & software
7
8
Smart Concrete
9
Smart Concrete
Giatec Smart Concrete™
10
11
12
13
14
Safety: IIoT & Smart Wearables
23,000 on-the-job injuries in US, $192 BN impact on economy
(www.epi.org)
OSHA performs 31,948 inspections per year; 74% result in penalties
(Source: OSHA)
Cost of penalties in US last year: $259M (Source: OSHA)
Increased by 80% in 2016
Benefits of investing in safety: (Source: Safety and Health Magazine – May 2014)
• Schneider Electric reduced injury rate from 3.6 injuries/100 workers to .5
injuries/100 workers= $15M annual savings.
• Airgas spent $181.5K on safety program= $907K annual savings
• Heartland Food dropped injury rate from 285 per year to 14= $11.653M annually
15
“A fundamental new rule for business is that the
Internet changes everything.”
-Bill Gates, 1999
Or has it?
16
Discrete Manufacturing
1980
Debugging a Modicon 584
Programmable Controller
2014
Debugging a Modicon 584
Programmable Controller
17
Energy Management
1950
Energy grids delivered power,
not information
2014
Energy grids deliver power,
not (much) information
18
Aviation
1960
Jet performance data is
downloaded by hand
2014
Jet performance data is
downloaded by hand
19
Yes, there are efficiencies and new
integration points.
But we have a long way to go.
IIC Founders, Contributing Members, & Large Industry Members
IIC Founding and Contributing Members
20
Current Publicly Announced Testbeds
21
Time Sensitive Networking Testbed
22
Collaborators:
• Members: Analog Devices, Belden/Hirschmann, Bosch Rexroth, B&R Industrial Automation, Cisco, Intel,
Hilscher, Kalycito, KUKA, National Instruments, Renesas Electronics, Schneider Electric, SICK AG, TTTech,
Xilinx
• With: Avnu, Calnex, ISW, Ixia, OPC Foundation, Phoenix Contact
Market Segment:
• Manufacturing – with a vision to be useful in a wide range of applications, including Utilities, Transportation
and Oil and Gas.
Goals:
• To support real-time control and synchronization of high performance machines over a single, standard
Ethernet network, supporting multi-vendor interoperability and integration.
Features & Commercial Benefits:
• TSN will open up critical control applications such as robot control, drive control and vision systems to the
Industrial Internet.
• This connectivity then enables customers, suppliers and vendors to more readily access data from these
systems and to apply preventative maintenance and optimization routines to these systems.
Why TSN? IoT Requires Flexible Data Access
October 3, 2017 23
Proprietary,
unconnected
networks
Standard, connected,
deterministic networks
24
Augmented Reality
25
2. MTP Latency < 20ms
Eye (brain)
Motion (cerebellum)
>20ms
1. Ultra-high Throughput
 360 vision needs 3~5x than single vision
 16K+ ideal resolution
 Panoramic VR needs 25Mbps to 5Gbps
Region of
Interest 2
New Challenges for Network
 Motion-To-Photon Latency <20ms, for
reducing the spinning sensation
Region of
Interest 1
26
Edge Computing Forums
27
Connectivity Framework: http://www.iiconsortium.org/IICF.htm
Edge Definitions:
Edge: a logical layer consisting of the IIoT system devices, sensors,
actuators nodes, gateways and components of the functional domains
deployed therein.
Edge Computing: All computation, storage, communications, and
processing associated with collecting, transforming and acting upon
information captured from the Edge, or transmitted to the Edge.
Use Cases:
EC Task Group is working on Smart Grid, Automotive, Power
Generation, Smart Buildings/Elevators, AR/VR, Healthcare…
Industrial Internet Consortium (IIc) EC Task Group
Industrial Zone / Platform Tier
Manufacturing / IT /
Enterprise Data Center
Enterprise / Private Cloud / Public Cloud
Plant Level / OT /
Cell Area Zone/Edge Tier
Enterprise / Private Cloud
Todd Edmunds 6/28/16
Edge Device
Applications / Analytics /
Dashboards
IIC Crosscutting
Compute
Connectivity
Compute
Connectivity Aggregation
Connectivity Aggregation and
Federation
Compute
Compute
Compute
Local
Data
Stores
Compute
Local
Data
Stores
Transport
Transport
ConnectivityDist. Data Management Global Orchestration Industrial Analytics
IIC Crosscutting Functions
Data, Control,
Orchestration
Security
“Identify deployment models that address patterns
and characteristics for IIoT Compute Deployment”
29
Blockchain for IoT
• Distributed ledger behind cryptocurrencies such as Bitcoin
• Provides tamper resistant record of sensor data
• Decentralized architecture & horizontally secure data sharing among edge
nodes.
• Every legitimate node is registered on the blockchain, devices will identify and
authenticate each other without central brokers or certification authorities, and
the network will support billions of devices without needing additional resources.
• Smart manufacturing
– Value chain, different information in different systems
– Horizontal data integration & security of data
• Smart City
– Numerous edge nodes, lights, pipes, meters
– Store and secure data. Historical data tracked
– Better predictive maintenance and energy
efficiency management
30
• Presenter Name
• Date
• Smart building business
• HONEYWELL-HUAWEI ALLIANCE COOPERATION
March 20, 2017
Smart building business
HONEYWELL-HUAWEI ALLIANCE COOPERATION
31
Application Energy efficiency
management
Safety
management
Illumination
management
Video surveillance
Brightness sensor Energy meter
Electric appliance
controller
HVAC controller Others
Terminal
Platform
Network
EC-IoT Gateway
Build in
Edge Computing
Fast response, improving
system reliability
Unified Interconnection
Highly efficient operation,
reducing building power
consumption by 50%
Openness, Scalability
Building scalable smart building
ecosystem
Smart Building Solution Based on EC
Elevators Become Indispensable in Cities
Now Future
Total number of elevators in 2015
15,000,000
City residents
in the next 30 years
3 billion
70%
of people will live in cities by 2050
Billions of
people take elevators every day
How to Address Challenges
Challenges: Long Service Interruption and High OPEX
2 days/year x 15,000,000
= 30 million days/year
2 x 12 x 15,000,000
= 360 million count every year
Long interruption time
Manual inspection count
Elevators Connection Solution Based on EC
Remote O&M systemIoT platformAgile ControllerIoT
gateway
Fourfold Security
OS-Chip-Network-Platform
Edge Computing Openness
Management of 10 Millions of
Terminals
SDN Architecture
Connect Anything, Anywhere - Intelligently!
DDS Databus
Seamless data sharing regardless of:
Proximity
Platform
Language
Physical network
Transport protocol
Network topology
Fundamental N2 Connectivity Challenge
Content restricted to IIC Members Not for External Publication
N x (N-1)
2
Connectivity Reference Architecture
Endpoints
Other
Connectivity
Technologies
Connectivity Core Standards (baseline)
Gateway
Other EndpointsFunctional Domain
Other
Functional
Domain
Gateway
Core Gateway Standards between Core Connectivity Standards
Content restricted to IIC Members Not for External Publication
Connectivity
Core
Standards
Endpoints
Domain-Specific
Connectivity Technology
Gateway to a Connectivity
Core Standard
Core Gateways
Example IIoT Connectivity Core Gateways
Content restricted to IIC Members
Not for External Publication
Light-Weight
Clients
Connectivity Core
Standard (HTTP/REST)
DDS-WEB
Gateway
IIoT System
Real-Time
Decisions
Databus
Gateway
Sleep/Wake Clients
OPC-UA-DDS
Gateway
Connectivity Core
Standard (OPC-UA)
DDS Databus
Manufacturing WorkcellsMobile and Web User Interfaces
Autonomy
Equipment
Connectivity Framework Layer
Content restricted to IIC Members
Not for External Publication
Transport
Link
Distributed Data Interoperability & Management
Framework
Quality
of
Service
Security
Publish-Subscribe Request-Reply Discovery
Data Resource Model
Id and Addressing Data Type System Lifecycle (CRUD)
Exception Handling
State
Management
Connectivity
Framework
Functions
Physical
Network
API Governance
Key Connectivity Standards
Manufacturing Origin
TSN /
Ethernet
(802.1,
802.3)
DDS
Wireless
PAN
(802.15)
Wireless
2G/3G/LTE
(3GPP)
Wireless
LAN
(802.11 Wi-
Fi)
Internet Protocol (IP)
CoAP MQTT
Web
Services
Wireless
Wide Area
(802.16)
HTTPDDSI-RTPS
oneM2M OPC-UA
OPC-UA Bin
Telecommunications Origin
UDP TCPTCP
Transport
Link
Framework
Distributed Data
Interoperability and Management
Physical
Network
Healthcare TransportationManufacturing… …Energy & Utilities
Both commercial
and open-source
software
implementations of
DDS are available.
These include APIs
and libraries of
implementations in
Ada, C, C++, C#,
Java, Scala, Lua,
Pharo and Ruby
Interoperability
The bottom layer consists of two or more different
devices, each using their own version of an
operating system. When we add middleware,
those different devices can now communicate and
use the same application, even though they use
different operating systems.
The Future
How will we reduce jet engine
failure & maintenance costs?
4343
How will we save lives
through better patient care?
How will we reduce
passenger fatalities?
How will we reduce waste
of natural resources?
How will we minimize
unplanned factory downtime?
Things are coming together.
Key Takeaways
• Understand certain verticals (Healthcare, Oil/Gas, Energy…)
• Understand emerging tech (AR/VR, Autonomous Vehicles, etc)
• Dig into OPC-UA, DDS and other industrial related IT/OT protocols
• Drink the Kool-Aid and participate in Industrial forums/meet ups
• Become extremely valuable
THANK YOU

More Related Content

Industrial IoT and OT/IT Convergence

  • 1. Industrial IoT and OT/IT Convergence Mike McBride Sept 2017
  • 3. 3 "If you went to bed last night as an industrial company, you're going to wake up today as a software and analytics company,“ – Jeff Immelt
  • 4. 4 GE’s predix.io Open Source Software (OSS) Used: Cloud Foundry | Polymer | Docker | RabbitMQ | Redis | Logstash | Cassandra | Angular | Spring | Apache | Kafka | Jenkins… Connectivity Cloud Services Applications Predix Cloud End-to-End Security Data Infrastructure Cloud Foundry Enterprise Systems External Data Predix Machine Software/Analytics
  • 5. 5 IT/OT are very different worlds
  • 6. 6 OT ICS SCADA DPC PLC OT Operational Technology ICS Industrial Control Systems PLC Programmable Logic Controllers DPC Discrete Process Control Systems SCADA Supervisory Control and Data Acquisition
  • 7. Why now? Driving the OT – IT Convergence: Low cost, powerful technology • Cheap sensors & devices • Low-cost processing power, data storage Connected everything • By 2020, the number of things connected to the internet will be approximately 7x the number of people on earth today. Big Data • Collecting, storing and analyzing data is now more cost effective Smarter Machines • Equipment is increasingly embedded with sensors & software 7
  • 10. 10
  • 11. 11
  • 12. 12
  • 13. 13
  • 14. 14 Safety: IIoT & Smart Wearables 23,000 on-the-job injuries in US, $192 BN impact on economy (www.epi.org) OSHA performs 31,948 inspections per year; 74% result in penalties (Source: OSHA) Cost of penalties in US last year: $259M (Source: OSHA) Increased by 80% in 2016 Benefits of investing in safety: (Source: Safety and Health Magazine – May 2014) • Schneider Electric reduced injury rate from 3.6 injuries/100 workers to .5 injuries/100 workers= $15M annual savings. • Airgas spent $181.5K on safety program= $907K annual savings • Heartland Food dropped injury rate from 285 per year to 14= $11.653M annually
  • 15. 15 “A fundamental new rule for business is that the Internet changes everything.” -Bill Gates, 1999 Or has it?
  • 16. 16 Discrete Manufacturing 1980 Debugging a Modicon 584 Programmable Controller 2014 Debugging a Modicon 584 Programmable Controller
  • 17. 17 Energy Management 1950 Energy grids delivered power, not information 2014 Energy grids deliver power, not (much) information
  • 18. 18 Aviation 1960 Jet performance data is downloaded by hand 2014 Jet performance data is downloaded by hand
  • 19. 19 Yes, there are efficiencies and new integration points. But we have a long way to go.
  • 20. IIC Founders, Contributing Members, & Large Industry Members IIC Founding and Contributing Members 20
  • 22. Time Sensitive Networking Testbed 22 Collaborators: • Members: Analog Devices, Belden/Hirschmann, Bosch Rexroth, B&R Industrial Automation, Cisco, Intel, Hilscher, Kalycito, KUKA, National Instruments, Renesas Electronics, Schneider Electric, SICK AG, TTTech, Xilinx • With: Avnu, Calnex, ISW, Ixia, OPC Foundation, Phoenix Contact Market Segment: • Manufacturing – with a vision to be useful in a wide range of applications, including Utilities, Transportation and Oil and Gas. Goals: • To support real-time control and synchronization of high performance machines over a single, standard Ethernet network, supporting multi-vendor interoperability and integration. Features & Commercial Benefits: • TSN will open up critical control applications such as robot control, drive control and vision systems to the Industrial Internet. • This connectivity then enables customers, suppliers and vendors to more readily access data from these systems and to apply preventative maintenance and optimization routines to these systems.
  • 23. Why TSN? IoT Requires Flexible Data Access October 3, 2017 23 Proprietary, unconnected networks Standard, connected, deterministic networks
  • 25. 25 2. MTP Latency < 20ms Eye (brain) Motion (cerebellum) >20ms 1. Ultra-high Throughput  360 vision needs 3~5x than single vision  16K+ ideal resolution  Panoramic VR needs 25Mbps to 5Gbps Region of Interest 2 New Challenges for Network  Motion-To-Photon Latency <20ms, for reducing the spinning sensation Region of Interest 1
  • 27. 27 Connectivity Framework: http://www.iiconsortium.org/IICF.htm Edge Definitions: Edge: a logical layer consisting of the IIoT system devices, sensors, actuators nodes, gateways and components of the functional domains deployed therein. Edge Computing: All computation, storage, communications, and processing associated with collecting, transforming and acting upon information captured from the Edge, or transmitted to the Edge. Use Cases: EC Task Group is working on Smart Grid, Automotive, Power Generation, Smart Buildings/Elevators, AR/VR, Healthcare… Industrial Internet Consortium (IIc) EC Task Group
  • 28. Industrial Zone / Platform Tier Manufacturing / IT / Enterprise Data Center Enterprise / Private Cloud / Public Cloud Plant Level / OT / Cell Area Zone/Edge Tier Enterprise / Private Cloud Todd Edmunds 6/28/16 Edge Device Applications / Analytics / Dashboards IIC Crosscutting Compute Connectivity Compute Connectivity Aggregation Connectivity Aggregation and Federation Compute Compute Compute Local Data Stores Compute Local Data Stores Transport Transport ConnectivityDist. Data Management Global Orchestration Industrial Analytics IIC Crosscutting Functions Data, Control, Orchestration Security “Identify deployment models that address patterns and characteristics for IIoT Compute Deployment”
  • 29. 29 Blockchain for IoT • Distributed ledger behind cryptocurrencies such as Bitcoin • Provides tamper resistant record of sensor data • Decentralized architecture & horizontally secure data sharing among edge nodes. • Every legitimate node is registered on the blockchain, devices will identify and authenticate each other without central brokers or certification authorities, and the network will support billions of devices without needing additional resources. • Smart manufacturing – Value chain, different information in different systems – Horizontal data integration & security of data • Smart City – Numerous edge nodes, lights, pipes, meters – Store and secure data. Historical data tracked – Better predictive maintenance and energy efficiency management
  • 30. 30 • Presenter Name • Date • Smart building business • HONEYWELL-HUAWEI ALLIANCE COOPERATION March 20, 2017 Smart building business HONEYWELL-HUAWEI ALLIANCE COOPERATION
  • 31. 31 Application Energy efficiency management Safety management Illumination management Video surveillance Brightness sensor Energy meter Electric appliance controller HVAC controller Others Terminal Platform Network EC-IoT Gateway Build in Edge Computing Fast response, improving system reliability Unified Interconnection Highly efficient operation, reducing building power consumption by 50% Openness, Scalability Building scalable smart building ecosystem Smart Building Solution Based on EC
  • 32. Elevators Become Indispensable in Cities Now Future Total number of elevators in 2015 15,000,000 City residents in the next 30 years 3 billion 70% of people will live in cities by 2050 Billions of people take elevators every day
  • 33. How to Address Challenges Challenges: Long Service Interruption and High OPEX 2 days/year x 15,000,000 = 30 million days/year 2 x 12 x 15,000,000 = 360 million count every year Long interruption time Manual inspection count
  • 34. Elevators Connection Solution Based on EC Remote O&M systemIoT platformAgile ControllerIoT gateway Fourfold Security OS-Chip-Network-Platform Edge Computing Openness Management of 10 Millions of Terminals SDN Architecture
  • 35. Connect Anything, Anywhere - Intelligently! DDS Databus Seamless data sharing regardless of: Proximity Platform Language Physical network Transport protocol Network topology
  • 36. Fundamental N2 Connectivity Challenge Content restricted to IIC Members Not for External Publication N x (N-1) 2
  • 37. Connectivity Reference Architecture Endpoints Other Connectivity Technologies Connectivity Core Standards (baseline) Gateway Other EndpointsFunctional Domain Other Functional Domain Gateway
  • 38. Core Gateway Standards between Core Connectivity Standards Content restricted to IIC Members Not for External Publication Connectivity Core Standards Endpoints Domain-Specific Connectivity Technology Gateway to a Connectivity Core Standard Core Gateways
  • 39. Example IIoT Connectivity Core Gateways Content restricted to IIC Members Not for External Publication Light-Weight Clients Connectivity Core Standard (HTTP/REST) DDS-WEB Gateway IIoT System Real-Time Decisions Databus Gateway Sleep/Wake Clients OPC-UA-DDS Gateway Connectivity Core Standard (OPC-UA) DDS Databus Manufacturing WorkcellsMobile and Web User Interfaces Autonomy Equipment
  • 40. Connectivity Framework Layer Content restricted to IIC Members Not for External Publication Transport Link Distributed Data Interoperability & Management Framework Quality of Service Security Publish-Subscribe Request-Reply Discovery Data Resource Model Id and Addressing Data Type System Lifecycle (CRUD) Exception Handling State Management Connectivity Framework Functions Physical Network API Governance
  • 41. Key Connectivity Standards Manufacturing Origin TSN / Ethernet (802.1, 802.3) DDS Wireless PAN (802.15) Wireless 2G/3G/LTE (3GPP) Wireless LAN (802.11 Wi- Fi) Internet Protocol (IP) CoAP MQTT Web Services Wireless Wide Area (802.16) HTTPDDSI-RTPS oneM2M OPC-UA OPC-UA Bin Telecommunications Origin UDP TCPTCP Transport Link Framework Distributed Data Interoperability and Management Physical Network Healthcare TransportationManufacturing… …Energy & Utilities
  • 42. Both commercial and open-source software implementations of DDS are available. These include APIs and libraries of implementations in Ada, C, C++, C#, Java, Scala, Lua, Pharo and Ruby Interoperability The bottom layer consists of two or more different devices, each using their own version of an operating system. When we add middleware, those different devices can now communicate and use the same application, even though they use different operating systems.
  • 43. The Future How will we reduce jet engine failure & maintenance costs? 4343 How will we save lives through better patient care? How will we reduce passenger fatalities? How will we reduce waste of natural resources? How will we minimize unplanned factory downtime? Things are coming together.
  • 44. Key Takeaways • Understand certain verticals (Healthcare, Oil/Gas, Energy…) • Understand emerging tech (AR/VR, Autonomous Vehicles, etc) • Dig into OPC-UA, DDS and other industrial related IT/OT protocols • Drink the Kool-Aid and participate in Industrial forums/meet ups • Become extremely valuable