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Berlin Industrie 4.0 – Inaugural Meetup Event – 02.11.2016
Time: 45 minutes
3
Good evening.
4
If there is only one thing to remember from this talk…
5
(besides this unusual start)
6
Cyber-Physical Systems (CPS) constantly communicate & exchange data
and will, in the future, pre-process data locally an...
7
This will be an important aspect within all areas of the digital transformation.
8
Including Factories of the Future / Smart Factories / Industry 4.0.
9
And today I’ll tell you why and provide a rough overview.
Just this single topic for today.
Now let me tell you a bit of my background.
Where to start?
12
© Fraunhofer FOKUS
13
The largest organization for applied research in Europe.
14
Applied research is the foundation of our organization.
15
The Fraunhofer-Gesellschaft worldwide
Dubai
Bangalore
Jakarta
Beijing Seoul
Cairo
Santiago de Chile
Singapore
Brussels
...
16
The Fraunhofer-Gesellschaft at a Glance
24,000 staff
More than 70%
is derived from contracts
with industry and from
pub...
17
n ICT
n Life Sciences
n Light & Surfaces
n Microelectronics
n Production
n Materials and Components
n Defense and Secur...
18
© Fraunhofer FOKUS
Fraunhofer Layer Model of Industrie 4.0 Value Creation
ENTERPRISE TRANSFORMATION
INFORMATION AND
COM...
19
...that are related to Industry 4.0 and incorporate over 20 different own institutes.
Fraunhofer is involved in over 33...
20
© Fraunhofer FOKUS
21
Our vision: We want to actively shape the networked world and make it secure, reliable,
scalable as well as trustworthy...
This should have given a rough overview of my background.
Why are we focusing on Smart Manufacturing?
What is Germany known for?
http://cliparts.co
© Fraunhofer FOKUS
25
There is a paradigm shift going on
https://youtu.be/3xGoBlI_fdg
What’s the Matter with Owen?
27
Disclaimer: there is no connection between me and the advertised company
28
Video | What’s the matter with Owen?
https://youtu.be/3xGoBlI_fdg
29
“grandpappy's hammer”
vs.
“…to allow these machines to share information with each other…”
the past present age the future
the past
To know your future
you must know your past
George Santayana
(picture: Columbia University)
32
33
© Fraunhofer FOKUS
It all started with this…
https://de.wikipedia.org/wiki/Industrielle_Revolution
34
Video | my son is fascinated by a real steam engine
35
© Fraunhofer FOKUS
Power-Suppy sources in GB (1760-1907)
VenionaireInvestment
0 PS
2.000 PS
4.000 PS
6.000 PS
8.000 PS
...
36© Fraunhofer FOKUS
The industrial revolution
End of 18th century
First Industrial Revolution
Mechanical production power...
You can choose any color you want
as long it is black.
Henry Ford
(picture: philanthropyroundtable)
37
38
© Fraunhofer FOKUS
Invention of the assembly-line work
VenionaireInvestment
$780
$490
720
90
0
100
200
300
400
500
600
...
39© Fraunhofer FOKUS
The industrial revolution
End of 18th century Start of 20th Century
Second Industrial Revolution
Mass...
the past
present age
They said: ‘you can’t do that.
It’s against the rules.‘
Dick Morley
(picture: cyon research)
43
Before mainly relays, timers and dedicated closed-loop controllers were used.
44
© Fraunhofer FOKUS
Around 1965
TofinoSecurity
45
Updating such facilities was very time consuming and expensive.
46
© Fraunhofer FOKUS
Morley worked on Programmable Logic Controllers since 1968
CPU
Input
Module
Output
Module
Power Supp...
47
© Fraunhofer FOKUS
The original 084
Automation.com
48
© Fraunhofer FOKUS
Since then PLC’s evolved
profibusgroup.com
49
© Fraunhofer FOKUS
5 layer automation pyramid
ERP
MES
SCADA
PLC
I/O
50
© Fraunhofer FOKUS
Supervisory control and data acquisition (SCADA)
Inductiveautomation
51
© Fraunhofer FOKUS
Manufacturing Execution System (MES)
WerumITSolutions
52
© Fraunhofer FOKUS
Enterprise Resource Planning (ERP)
Servoy
53© Fraunhofer FOKUS
The industrial revolution
End of 18th century Start of 20th Century Start of 70’s
Third Industrial Re...
present age
the future
It’s difficult to make predictions
unknown
It’s difficult to make predictions,
especially about the future.
The Internet
has become one of the motors
of the 21st century economy.
Vint Cerf
(picture: relatably)
59
© Fraunhofer FOKUS
Number of worldwide Internet users in millions
ITU;WorldBank;UnitedNations
0
500
1.000
1.500
2.000
2...
60
We know what happened with over 3 billion connected users.
61
More connected devices than people
CiscoIBSG,April2011
62
What will happen when over 50 billion machines are connected?
63
The Internet of Things
TheConnectivistbasedonCiscodata
64
SMART
Factory
Grid
Machine
City
Transportation
SMARTPhone
Wearable
TV
Appliances
Home
Connectivity
Data Exchange
INDUST...
65
We see a digital transformation across the entire value chain.
66
Connectivity and data exchange between all verticals
NationalInstruments
67
Industrial Internet domain segmentation
Aerospace
& Defence
Healthcare
Automotive &
Transport
Manufacturing
Agriculture...
68
Industrial Internet domain segmentation
Manufacturing
Industrial
Internet
69
To begin, let’s see what different alliances are working on.
the future
What are interesting initiatives in this context?
72
The IIoT SDOs and Alliances
AIOTIWG3
73
The IIoT SDOs and Alliances
AIOTIWG3
74
© Fraunhofer FOKUS
The Industrial Internet Consortium
IIC
75
© Fraunhofer FOKUS
Motivation
ERSInternationalMacroeconomicDataSet
76
© Fraunhofer FOKUS
IIC Founding members
IIC
77
© Fraunhofer FOKUS
Industrial Internet Reference Architecture (IIRA)
https://youtu.be/tcMH9NV0YgQ
78
© Fraunhofer FOKUS
IIRA – Functional Domains (for a Cyber-Physical System)
IIRAWhitePaper
79
We initially wanted to focus on manufacturing…
80
Video | What is Industrie 4.0?
https://youtu.be/ELzaWm5jhlo(Commerzbank)
81
What is presumably the most interesting part?
82
© Fraunhofer FOKUS
Communication & data exchange
https://youtu.be/ELzaWm5jhlo(Commerzbank)
83
© Fraunhofer FOKUS
Communication & data exchange with external components
https://youtu.be/ELzaWm5jhlo(Commerzbank)
84
© Fraunhofer FOKUS
Relationship between IIC and the Plattform Industrie 4.0
IIC/PlattformIndustrie4.0
85
© Fraunhofer FOKUS
The ”Plattform Industrie 4.0”
PlattformIndustrie4.0
86
© Fraunhofer FOKUS
Reference architecture model Industry 4.0 (RAMI)
PlattformIndustrie4.0
87
© Fraunhofer FOKUS
IIRA vs RAMI
IIC/PlattformIndustrie4.0
88
© Fraunhofer FOKUS
Industrie 4.0 Component (CPS) – Asset Administration Shell (AAS)
PlattformIndustrie4.0
89
© Fraunhofer FOKUS
Cyber-Physical System (CPS) based automation
90
© Fraunhofer FOKUS
From the 5-layer architecture to autonomous CPS’
ERP
MES
SCADA
PLC
I/O
Today Future
5-layer architec...
91© Fraunhofer FOKUS
The industrial revolution
End of 18th century Start of 20th Century Start of 70’s The Future
Fourth I...
92
Operational Technology
(OT)
Information & Communications
Technology (ICT)
© Fraunhofer FOKUS
Evolutionary bringing two ...
This is the vision about 4th Industrial Revolution
How to get there?
There are many challenges to tackle.
95
© Fraunhofer FOKUS
Communication & data exchange.
https://youtu.be/ELzaWm5jhlo(Commerzbank)
96
© Fraunhofer FOKUS
Biggest Challenges / IIC Key Areas
IoTNexus
97
1. Security (e.g. identification)
2. Quality of Service (e.g. Time-Sensitive Networking)
3. Communication (e.g. OneM2M ...
98
Connectivity Communication Interoperability
99
❶
Connectivity Communication Interoperability
100
The IIoT SDOs and Alliances
AIOTIWG3
101
Physical
Data Link
Network
Transport
Session
Presentation
Application
Connectivity
OpenSystemsInterconnection(OSI)Laye...
102
© Fraunhofer FOKUS
Industrial network market shares 2016
HMS
103
Connectivity Communication Interoperability
104
The IIoT SDOs and Alliances
AIOTIWG3
105
Physical
Data Link
Network
Transport
Session
Presentation
Application
Middleware
Communication
OpenSystemsInterconnect...
106
oneM2M is a partnership of international	standards	bodies
107
Background: telecommunications industry (machine-type communication)
108
Physical
Data Link
Network
Transport
Session
Presentation
Application
Middleware
OneM2M on the OSI layers
OpenSystemsI...
109
© Fraunhofer FOKUS
OPC Foundation
110
Background: automation industry (integration nightmare)
111
© Fraunhofer FOKUS
Two UPC UA communication types
Physical
Data Link
Network
Transport
Session
Presentation
Applicatio...
112
Object Management Group
113
Background: information industry (DoD’s global information grid project)
114
Physical
Data Link
Network
Transport
Session
Presentation
Application
Middleware
DDS on the OSI layers
OpenSystemsInte...
115
Connectivity Communication Interoperability
116
technical interoperability
syntactical interoperability
semantic interoperability
organisational interoperability
Diff...
117
technical interoperability
syntactical interoperability
semantic interoperability
organisational interoperability
Diff...
118
Technical interoperability
OpenSystemsInterconnection(OSI)Layers
cables, frequency, …
Ethernet, Wi-Fi, 802.15.4, …
IPv...
119
Assumption: using HTTP, REST and oneM2M API
120
technical interoperability
syntactical interoperability
semantic interoperability
organisational interoperability
Diff...
121
Syntactical interoperability
OpenSystemsInterconnection(OSI)Layers
Physical
Data Link
Network
Transport
Session
Presen...
122
World vs. Information vs. Data vs. Syntax vs. Object Model
BasedonJ.Schoenwaelder.RFC3444:Onthe
DifferencebetweenInfor...
123
Assumption: using XML syntax to serialize information
124
technical interoperability
syntactical interoperability
semantic interoperability
organisational interoperability
Diff...
125
Semantic interoperability
OpenSystemsInterconnection(OSI)Layers
Physical
Data Link
Network
Transport
Session
Presentat...
126
© Fraunhofer FOKUS
Remember: Communication & data exch. with ext. components
https://youtu.be/ELzaWm5jhlo(Commerzbank)
127
It’s all about semantics (=meaning)
128
Formal specification of concepts
BasedonJ.Schoenwaelder.RFC3444:Onthe
DifferencebetweenInformationModelsandData
Models...
129
How can we assure that machines understand each other?
130
Following the concepts behind the Semantic Web is one possible way.
World Wide Web Consortium (W3C)
It provides a common framework that allows data to be shared and
reused across application...
132
URI / IRI UNICODE
NamespacesXML
XML Query XML Schema
Signature
Encryption
RDF Model & Syntax
Ontology & Queries
Rules
...
133
By using a directed, labelled multi-graph model on top of XML, JSON, or binary syntax
As a first step, at least a cano...
134
Assumption: using RDF and ontologies for communicating semantics
135
Now that machines can understand each other, what do we need?
InteroperabilityConnectivity Communication
Local pre-processing and autonomous actuation
IDC
Again: by 2020 the digital universe will reach 44 trillion GB.
Forbes, 2016
Data is not the issue. We have more of it than we can
analyze or utilize already, and we’re gathering more an...
140
© Fraunhofer FOKUS
Where data will be processed until 2017
CiscoConsultingServices,2014
141
© Fraunhofer FOKUS
Where data will be processed until 2017
CiscoConsultingServices,2014
Public
Network
Private
Network...
142
© Fraunhofer FOKUS
Where data will be processed until 2017
CiscoConsultingServices,2014
Public
Network
Private
Network...
143
Public vs. Private vs. Edge vs. Fog Computing
144
Towards Intergated Fog, Edge and Cloud Computing
Cloud
Edge Node
Edge Node
Fog Node
Fog Computing Edge Computing Cloud...
145
What are the main drivers?
146
Network: lower latency, lower jitter, independency of the network
147
Data: improved security, data sovereignty and scalability
148
Independency: fog nodes actuate autonomously & communicate peer-to-peer
149
© Fraunhofer FOKUS
Remember: from the 5 layer architecture to autonomous CPS’
ERP
MES
SCADA
PLC
I/O
Today Future
5-lay...
150
Fog and Edge Computing in the overall picture
Public
Network
Private
Network
Field
Domain
(Internet | Graph) of Everyt...
But all this gets a little bit too detailed for today…
How to evolutionary address the next industrial revolution?
Making your shop floor Industry 4.0 ready
OpenIoTFog
153
A software-defined, highly interconnected Industry 4.0-ready PLC.
154
An Asset Administration Shell (AAS)
155
open mtc
© Fraunhofer FOKUS
Partly powered by our successful OpenMTC toolkit
156
Communication with actuators, sensors, PLC’s, ERP and MES
157
Vision: orchestration of applications to a distributed fog network
App
Store
Or
ch
es
tr
ati
o
n
E
n
gi
ne
Orchestrati...
158
OpenIoTFog | Focus Areas
Plug & Play
(existing devices)
Collect Data
(wired/wirelessly)
Wi-Fi, BLE, FS20,
ZigBee, LoRa...
159
© Fraunhofer FOKUS
The Industrial Internet of Things Center (IIoT) in Berlin
➀
Training,
Assessment &
Consulting
Indus...
160
IIoT Workshop, tomorrow at the Fraunhofer Forum in Berlin!
http://fuseco-forum.org
We facilitate the digital transformation towards the Industry 4.0.
Coming to an end now…
Summary
I never think of the future,
it comes soon enough.
Albert Einstein
(picture: wikimedia)
16
164
Today I talked about aspect in the context of the Industrial IoT.
165
the futurepresent agethe past
166
We further talked about technological challenges
167
interoperabilitycommunicationconnectivity
168
If there is only one thing to remember from this talk…
169
Cyber-Physical Systems (CPS) constantly communicate & exchange data
and will, in the future, process data locally and ...
170
About me
©MatthiasHeyde/FraunhoferFOKUS
Dr.-Ing. Alexander Willner
Fraunhofer FOKUS
Software-based Networks (NGNI) Dep...
171
© Fraunhofer FOKUS
172
© Fraunhofer FOKUS
Video | OpenIoTFog
http://openiotfog.org
Time: 45 minutes
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Berlin Industrie 4.0 – Inaugural Meetup Event - Fraunhofer FOKUS Overview

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In this talk an overview of the overall topic of the Industrial Internet is given with a focal point on Industry 4.0 / Industrie 4.0 / Factories of the Future / Smart Factories. The talk provides some history and covers the topics connectivity, communication and interoperability.

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Berlin Industrie 4.0 – Inaugural Meetup Event - Fraunhofer FOKUS Overview

  1. 1. Berlin Industrie 4.0 – Inaugural Meetup Event – 02.11.2016
  2. 2. Time: 45 minutes
  3. 3. 3 Good evening.
  4. 4. 4 If there is only one thing to remember from this talk…
  5. 5. 5 (besides this unusual start)
  6. 6. 6 Cyber-Physical Systems (CPS) constantly communicate & exchange data and will, in the future, pre-process data locally and be semantically interoperable.
  7. 7. 7 This will be an important aspect within all areas of the digital transformation.
  8. 8. 8 Including Factories of the Future / Smart Factories / Industry 4.0.
  9. 9. 9 And today I’ll tell you why and provide a rough overview.
  10. 10. Just this single topic for today. Now let me tell you a bit of my background.
  11. 11. Where to start?
  12. 12. 12 © Fraunhofer FOKUS
  13. 13. 13 The largest organization for applied research in Europe.
  14. 14. 14 Applied research is the foundation of our organization.
  15. 15. 15 The Fraunhofer-Gesellschaft worldwide Dubai Bangalore Jakarta Beijing Seoul Cairo Santiago de Chile Singapore Brussels Porto Vienna Bolzano Graz Wrocław Gothenburg Salvador Paris São Paulo Campinas Stellenbosch Boston Plymouth East Lansing San José Newark Storrs Glasgow SouthamptonDublin Budapest Tokyo Sendai Osaka Pretoria JerusalemCollege Park Vancouver LondonHamilton Zur Lavon Kuala Lumpur - Subsidiary - Center - Project Center - ICON / Strategic Cooperation - Representative / Marketing Office - Senior Advisor
  16. 16. 16 The Fraunhofer-Gesellschaft at a Glance 24,000 staff More than 70% is derived from contracts with industry and from publicly financed research projects. Almost 30% is contributed by the German federal and Länder Governments. 67 institutes and research units Financevolume €2.1 billion 2015 ContractResearch €1.8 billion Major infrastructure capital expenditure and defense research
  17. 17. 17 n ICT n Life Sciences n Light & Surfaces n Microelectronics n Production n Materials and Components n Defense and Security Fraunhofer Groups
  18. 18. 18 © Fraunhofer FOKUS Fraunhofer Layer Model of Industrie 4.0 Value Creation ENTERPRISE TRANSFORMATION INFORMATION AND COMMUNICATIONS TECHNOLOGY PRODUCTION
  19. 19. 19 ...that are related to Industry 4.0 and incorporate over 20 different own institutes. Fraunhofer is involved in over 330 research projects
  20. 20. 20 © Fraunhofer FOKUS
  21. 21. 21 Our vision: We want to actively shape the networked world and make it secure, reliable, scalable as well as trustworthy! The Fraunhofer Institute for Open Communication Systems
  22. 22. This should have given a rough overview of my background. Why are we focusing on Smart Manufacturing?
  23. 23. What is Germany known for?
  24. 24. http://cliparts.co © Fraunhofer FOKUS
  25. 25. 25 There is a paradigm shift going on
  26. 26. https://youtu.be/3xGoBlI_fdg What’s the Matter with Owen?
  27. 27. 27 Disclaimer: there is no connection between me and the advertised company
  28. 28. 28 Video | What’s the matter with Owen? https://youtu.be/3xGoBlI_fdg
  29. 29. 29 “grandpappy's hammer” vs. “…to allow these machines to share information with each other…”
  30. 30. the past present age the future
  31. 31. the past
  32. 32. To know your future you must know your past George Santayana (picture: Columbia University) 32
  33. 33. 33 © Fraunhofer FOKUS It all started with this… https://de.wikipedia.org/wiki/Industrielle_Revolution
  34. 34. 34 Video | my son is fascinated by a real steam engine
  35. 35. 35 © Fraunhofer FOKUS Power-Suppy sources in GB (1760-1907) VenionaireInvestment 0 PS 2.000 PS 4.000 PS 6.000 PS 8.000 PS 10.000 PS 12.000 PS 0,00% 20,00% 40,00% 60,00% 80,00% 100,00% 1760 1800 1830 1870 1907 Wind Wasser Dampf Totalwind water steam total
  36. 36. 36© Fraunhofer FOKUS The industrial revolution End of 18th century First Industrial Revolution Mechanical production powered by water and steam Complexity
  37. 37. You can choose any color you want as long it is black. Henry Ford (picture: philanthropyroundtable) 37
  38. 38. 38 © Fraunhofer FOKUS Invention of the assembly-line work VenionaireInvestment $780 $490 720 90 0 100 200 300 400 500 600 700 800 900 1911 1914 Price [USD] Time to manufacture [min]
  39. 39. 39© Fraunhofer FOKUS The industrial revolution End of 18th century Start of 20th Century Second Industrial Revolution Mass production based on division of labour and electrical energy First Industrial Revolution Mechanical production powered by water and steam Complexity
  40. 40. the past
  41. 41. present age
  42. 42. They said: ‘you can’t do that. It’s against the rules.‘ Dick Morley (picture: cyon research)
  43. 43. 43 Before mainly relays, timers and dedicated closed-loop controllers were used.
  44. 44. 44 © Fraunhofer FOKUS Around 1965 TofinoSecurity
  45. 45. 45 Updating such facilities was very time consuming and expensive.
  46. 46. 46 © Fraunhofer FOKUS Morley worked on Programmable Logic Controllers since 1968 CPU Input Module Output Module Power Supply API
  47. 47. 47 © Fraunhofer FOKUS The original 084 Automation.com
  48. 48. 48 © Fraunhofer FOKUS Since then PLC’s evolved profibusgroup.com
  49. 49. 49 © Fraunhofer FOKUS 5 layer automation pyramid ERP MES SCADA PLC I/O
  50. 50. 50 © Fraunhofer FOKUS Supervisory control and data acquisition (SCADA) Inductiveautomation
  51. 51. 51 © Fraunhofer FOKUS Manufacturing Execution System (MES) WerumITSolutions
  52. 52. 52 © Fraunhofer FOKUS Enterprise Resource Planning (ERP) Servoy
  53. 53. 53© Fraunhofer FOKUS The industrial revolution End of 18th century Start of 20th Century Start of 70’s Third Industrial Revolution Electronics & IT for further automatization of production Second Industrial Revolution Mass production based on division of labour and electrical energy First Industrial Revolution Mechanical production powered by water and steam Complexity
  54. 54. present age
  55. 55. the future
  56. 56. It’s difficult to make predictions
  57. 57. unknown It’s difficult to make predictions, especially about the future.
  58. 58. The Internet has become one of the motors of the 21st century economy. Vint Cerf (picture: relatably)
  59. 59. 59 © Fraunhofer FOKUS Number of worldwide Internet users in millions ITU;WorldBank;UnitedNations 0 500 1.000 1.500 2.000 2.500 3.000 3.500 4.000 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16
  60. 60. 60 We know what happened with over 3 billion connected users.
  61. 61. 61 More connected devices than people CiscoIBSG,April2011
  62. 62. 62 What will happen when over 50 billion machines are connected?
  63. 63. 63 The Internet of Things TheConnectivistbasedonCiscodata
  64. 64. 64 SMART Factory Grid Machine City Transportation SMARTPhone Wearable TV Appliances Home Connectivity Data Exchange INDUSTRIAL Internet of Things CONSUMER Internet of Things Industrial vs Consumer IoT MoorInsights&Strategy'sreportSegmentingthe InternetofThings(IoT) Health Plugs
  65. 65. 65 We see a digital transformation across the entire value chain.
  66. 66. 66 Connectivity and data exchange between all verticals NationalInstruments
  67. 67. 67 Industrial Internet domain segmentation Aerospace & Defence Healthcare Automotive & Transport Manufacturing Agriculture Retail Energy & Utilities Others Industrial Internet
  68. 68. 68 Industrial Internet domain segmentation Manufacturing Industrial Internet
  69. 69. 69 To begin, let’s see what different alliances are working on.
  70. 70. the future
  71. 71. What are interesting initiatives in this context?
  72. 72. 72 The IIoT SDOs and Alliances AIOTIWG3
  73. 73. 73 The IIoT SDOs and Alliances AIOTIWG3
  74. 74. 74 © Fraunhofer FOKUS The Industrial Internet Consortium IIC
  75. 75. 75 © Fraunhofer FOKUS Motivation ERSInternationalMacroeconomicDataSet
  76. 76. 76 © Fraunhofer FOKUS IIC Founding members IIC
  77. 77. 77 © Fraunhofer FOKUS Industrial Internet Reference Architecture (IIRA) https://youtu.be/tcMH9NV0YgQ
  78. 78. 78 © Fraunhofer FOKUS IIRA – Functional Domains (for a Cyber-Physical System) IIRAWhitePaper
  79. 79. 79 We initially wanted to focus on manufacturing…
  80. 80. 80 Video | What is Industrie 4.0? https://youtu.be/ELzaWm5jhlo(Commerzbank)
  81. 81. 81 What is presumably the most interesting part?
  82. 82. 82 © Fraunhofer FOKUS Communication & data exchange https://youtu.be/ELzaWm5jhlo(Commerzbank)
  83. 83. 83 © Fraunhofer FOKUS Communication & data exchange with external components https://youtu.be/ELzaWm5jhlo(Commerzbank)
  84. 84. 84 © Fraunhofer FOKUS Relationship between IIC and the Plattform Industrie 4.0 IIC/PlattformIndustrie4.0
  85. 85. 85 © Fraunhofer FOKUS The ”Plattform Industrie 4.0” PlattformIndustrie4.0
  86. 86. 86 © Fraunhofer FOKUS Reference architecture model Industry 4.0 (RAMI) PlattformIndustrie4.0
  87. 87. 87 © Fraunhofer FOKUS IIRA vs RAMI IIC/PlattformIndustrie4.0
  88. 88. 88 © Fraunhofer FOKUS Industrie 4.0 Component (CPS) – Asset Administration Shell (AAS) PlattformIndustrie4.0
  89. 89. 89 © Fraunhofer FOKUS Cyber-Physical System (CPS) based automation
  90. 90. 90 © Fraunhofer FOKUS From the 5-layer architecture to autonomous CPS’ ERP MES SCADA PLC I/O Today Future 5-layer architecture CPS-based automation
  91. 91. 91© Fraunhofer FOKUS The industrial revolution End of 18th century Start of 20th Century Start of 70’s The Future Fourth Industrial Revolution Based on Cyber- Physical Systems Third Industrial Revolution Electronics & IT for further automatization of production Second Industrial Revolution Mass production based on division of labour and electrical energy First Industrial Revolution Mechanical production powered by water and steam Complexity
  92. 92. 92 Operational Technology (OT) Information & Communications Technology (ICT) © Fraunhofer FOKUS Evolutionary bringing two worlds closer together
  93. 93. This is the vision about 4th Industrial Revolution How to get there?
  94. 94. There are many challenges to tackle.
  95. 95. 95 © Fraunhofer FOKUS Communication & data exchange. https://youtu.be/ELzaWm5jhlo(Commerzbank)
  96. 96. 96 © Fraunhofer FOKUS Biggest Challenges / IIC Key Areas IoTNexus
  97. 97. 97 1. Security (e.g. identification) 2. Quality of Service (e.g. Time-Sensitive Networking) 3. Communication (e.g. OneM2M or OPC UA APIs) 4. Semantics (e.g. based on the Semantic Web) © Fraunhofer FOKUS Four key aspects identified by the Plattform Industrie 4.0
  98. 98. 98 Connectivity Communication Interoperability
  99. 99. 99 ❶ Connectivity Communication Interoperability
  100. 100. 100 The IIoT SDOs and Alliances AIOTIWG3
  101. 101. 101 Physical Data Link Network Transport Session Presentation Application Connectivity OpenSystemsInterconnection(OSI)Layers cables, frequency, … Ethernet, Wi-Fi, 802.15.4, … IPv4, IPv6, IPSec, MPLS, … UDP, TCP, SCTP, RTPS, …
  102. 102. 102 © Fraunhofer FOKUS Industrial network market shares 2016 HMS
  103. 103. 103 Connectivity Communication Interoperability
  104. 104. 104 The IIoT SDOs and Alliances AIOTIWG3
  105. 105. 105 Physical Data Link Network Transport Session Presentation Application Middleware Communication OpenSystemsInterconnection(OSI)Layers oneM2M API, OPC UA API, DDS API, … XML-RPC, SOAP, REST, … HTTP, AMQP, MQTT, CoAP, WS, …
  106. 106. 106 oneM2M is a partnership of international standards bodies
  107. 107. 107 Background: telecommunications industry (machine-type communication)
  108. 108. 108 Physical Data Link Network Transport Session Presentation Application Middleware OneM2M on the OSI layers OpenSystemsInterconnection(OSI)Layers oneM2M API HTTP, MQTT, CoAP TCP, UDP IP
  109. 109. 109 © Fraunhofer FOKUS OPC Foundation
  110. 110. 110 Background: automation industry (integration nightmare)
  111. 111. 111 © Fraunhofer FOKUS Two UPC UA communication types Physical Data Link Network Transport Session Presentation Application IP HTTP(S) UPC UA UPC UA BinaryOPC UA WS TCP Physical Data Link SOAP IP TCP Physical Data Link Middleware Serialization XML Binary
  112. 112. 112 Object Management Group
  113. 113. 113 Background: information industry (DoD’s global information grid project)
  114. 114. 114 Physical Data Link Network Transport Session Presentation Application Middleware DDS on the OSI layers OpenSystemsInterconnection(OSI)Layers DDS API DDSI-RTPS TCP, UDP IP
  115. 115. 115 Connectivity Communication Interoperability
  116. 116. 116 technical interoperability syntactical interoperability semantic interoperability organisational interoperability Different levels of interoperability ETSIWhitePaper:Achievingtechnicalinterop.
  117. 117. 117 technical interoperability syntactical interoperability semantic interoperability organisational interoperability Different levels of interoperability ETSIWhitePaper:Achievingtechnicalinterop.
  118. 118. 118 Technical interoperability OpenSystemsInterconnection(OSI)Layers cables, frequency, … Ethernet, Wi-Fi, 802.15.4, … IPv4, IPv6, … UDP, TCP, RTPS, … oneM2M API, OPC UA API, DDS API, … XML-RPC, SOAP, REST, … HTTP, AMQP, MQTT, CoAP, WS, … Physical Data Link Network Transport Session Presentation Application Middleware
  119. 119. 119 Assumption: using HTTP, REST and oneM2M API
  120. 120. 120 technical interoperability syntactical interoperability semantic interoperability organisational interoperability Different levels of interoperability ETSIWhitePaper:Achievingtechnicalinterop.
  121. 121. 121 Syntactical interoperability OpenSystemsInterconnection(OSI)Layers Physical Data Link Network Transport Session Presentation Application Serialization
  122. 122. 122 World vs. Information vs. Data vs. Syntax vs. Object Model BasedonJ.Schoenwaelder.RFC3444:Onthe DifferencebetweenInformationModelsandData Models World Information Model (Text, …) Syntax (XML, JSON, …) Object Model (JAXB, …) Data Model (Tree, List)
  123. 123. 123 Assumption: using XML syntax to serialize information
  124. 124. 124 technical interoperability syntactical interoperability semantic interoperability organisational interoperability Different levels of interoperability ETSIWhitePaper:Achievingtechnicalinterop.
  125. 125. 125 Semantic interoperability OpenSystemsInterconnection(OSI)Layers Physical Data Link Network Transport Session Presentation Application Serialization Semantics
  126. 126. 126 © Fraunhofer FOKUS Remember: Communication & data exch. with ext. components https://youtu.be/ELzaWm5jhlo(Commerzbank)
  127. 127. 127 It’s all about semantics (=meaning)
  128. 128. 128 Formal specification of concepts BasedonJ.Schoenwaelder.RFC3444:Onthe DifferencebetweenInformationModelsandData Models World Semantic Model (Ontology) Syntax Object Model Data Model (Graph)
  129. 129. 129 How can we assure that machines understand each other?
  130. 130. 130 Following the concepts behind the Semantic Web is one possible way.
  131. 131. World Wide Web Consortium (W3C) It provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
  132. 132. 132 URI / IRI UNICODE NamespacesXML XML Query XML Schema Signature Encryption RDF Model & Syntax Ontology & Queries Rules Logic Proof Trust © Fraunhofer FOKUS Bigger Picture Physical Data Link Network Transport Session Presentation Application #
  133. 133. 133 By using a directed, labelled multi-graph model on top of XML, JSON, or binary syntax As a first step, at least a canonical data model for machines subject [uri] object [uri] predicate [uri]
  134. 134. 134 Assumption: using RDF and ontologies for communicating semantics
  135. 135. 135 Now that machines can understand each other, what do we need?
  136. 136. InteroperabilityConnectivity Communication
  137. 137. Local pre-processing and autonomous actuation
  138. 138. IDC Again: by 2020 the digital universe will reach 44 trillion GB.
  139. 139. Forbes, 2016 Data is not the issue. We have more of it than we can analyze or utilize already, and we’re gathering more and more every day. The problem is going to be storing and accessing the data when we want it in a convenient fashion.
  140. 140. 140 © Fraunhofer FOKUS Where data will be processed until 2017 CiscoConsultingServices,2014
  141. 141. 141 © Fraunhofer FOKUS Where data will be processed until 2017 CiscoConsultingServices,2014 Public Network Private Network Field Domain CPS Access Network
  142. 142. 142 © Fraunhofer FOKUS Where data will be processed until 2017 CiscoConsultingServices,2014 Public Network Private Network Field Domain Intercloud Computing Cloud Computing Fog Computing Edge Computing CPS Access Network M2M
  143. 143. 143 Public vs. Private vs. Edge vs. Fog Computing
  144. 144. 144 Towards Intergated Fog, Edge and Cloud Computing Cloud Edge Node Edge Node Fog Node Fog Computing Edge Computing Cloud Computing
  145. 145. 145 What are the main drivers?
  146. 146. 146 Network: lower latency, lower jitter, independency of the network
  147. 147. 147 Data: improved security, data sovereignty and scalability
  148. 148. 148 Independency: fog nodes actuate autonomously & communicate peer-to-peer
  149. 149. 149 © Fraunhofer FOKUS Remember: from the 5 layer architecture to autonomous CPS’ ERP MES SCADA PLC I/O Today Future 5-layer architecture CPS-based automation
  150. 150. 150 Fog and Edge Computing in the overall picture Public Network Private Network Field Domain (Internet | Graph) of Everything Intercloud Computing Cloud Computing Fog Computing Edge Computing CPS Access Network Industrial Internet of Things Internet MTC M2M Web of Things Web Graph of Things Semantic Web
  151. 151. But all this gets a little bit too detailed for today… How to evolutionary address the next industrial revolution?
  152. 152. Making your shop floor Industry 4.0 ready OpenIoTFog
  153. 153. 153 A software-defined, highly interconnected Industry 4.0-ready PLC.
  154. 154. 154 An Asset Administration Shell (AAS)
  155. 155. 155 open mtc © Fraunhofer FOKUS Partly powered by our successful OpenMTC toolkit
  156. 156. 156 Communication with actuators, sensors, PLC’s, ERP and MES
  157. 157. 157 Vision: orchestration of applications to a distributed fog network App Store Or ch es tr ati o n E n gi ne Orchestration Robot Control App Videoanalysis App Condition Monitoring App
  158. 158. 158 OpenIoTFog | Focus Areas Plug & Play (existing devices) Collect Data (wired/wirelessly) Wi-Fi, BLE, FS20, ZigBee, LoRa, Industrial Wireless PROFINET, Modbus/TCP, EtherCAT Analyze Data (in the fog node) orchestration of docker-containers, app store predictive maintenance, event-driven actuation Enhance Data (semantically) Secure Data (on different layers) Provide Data (standard conform) oneM2M, OPC UA, DDS Wi-Fi, BLE, FS20, ZigBee, LoRa, Industrial Wireless
  159. 159. 159 © Fraunhofer FOKUS The Industrial Internet of Things Center (IIoT) in Berlin ➀ Training, Assessment & Consulting Industrial Internet of Things Center Facility Operators, Manufacturer, Service Provider ➁ Research, Development & Standardization ➂ Testing & Evaluation ➃ Toolkit Licences ◉TrainingonavailableIndustrie4.0ICT ◉AssessmentofexistingICTinfrastructure ◉ConsultingonanIndustry4.0ICTstrategy ◉ResearchonICTforIndustrie4.0gaps ◉Developmentofuse-casedemonstrators ◉Standardization-compliantimplementation ◉Testingforinterop.,conformity&performance ◉EvaluationofI4.0applicationsintestlabs ◉LicensingofprototypesofI4.0relatedICT
  160. 160. 160 IIoT Workshop, tomorrow at the Fraunhofer Forum in Berlin! http://fuseco-forum.org
  161. 161. We facilitate the digital transformation towards the Industry 4.0. Coming to an end now…
  162. 162. Summary
  163. 163. I never think of the future, it comes soon enough. Albert Einstein (picture: wikimedia) 16
  164. 164. 164 Today I talked about aspect in the context of the Industrial IoT.
  165. 165. 165 the futurepresent agethe past
  166. 166. 166 We further talked about technological challenges
  167. 167. 167 interoperabilitycommunicationconnectivity
  168. 168. 168 If there is only one thing to remember from this talk…
  169. 169. 169 Cyber-Physical Systems (CPS) constantly communicate & exchange data and will, in the future, process data locally and be semantically interoperable.
  170. 170. 170 About me ©MatthiasHeyde/FraunhoferFOKUS Dr.-Ing. Alexander Willner Fraunhofer FOKUS Software-based Networks (NGNI) Department Director of the Industrial Internet of Things Center alexander.willner@fokus.fraunhofer.de Technische Universität Berlin Next Generation Networks (AV) Department Industrial Internet of Things (IIoT) Group Manager alexander.willner@tu-berlin.de http://iiot-center.org http://openiotfog.org @AlexWillner linkedin.com/in/willner xing.to/willner
  171. 171. 171 © Fraunhofer FOKUS
  172. 172. 172 © Fraunhofer FOKUS Video | OpenIoTFog http://openiotfog.org
  173. 173. Time: 45 minutes

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