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Thingswise, LLC – © 2017, All Right Reserved
®
Industrial Internet & Smart Manufacturing
IIC-Plattform Industrie 4.0 World Tours, Burlingame, December 08, 2017
Shi-Wan LinCEO & Co-Founder, Thingswise, LLC
Co-Chair, Technology WG & Architecture TG, IICCo-Chair, Architecture Joint Task Group, Plattform Industrie 4.0 & IIC
Co-Chair, Vocabulary and Reference Architecture, NIST CPS Public Working Group
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Part I
Architecture Alignment & Interoperability
An IIC & Plattform Industrie 4.0 Joint Whitepaper
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Architecture Alignment & Interoperability
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Jointly Publish a Whitepaper onArchitecture Mapping & Alignment between IIRA & RAMI 4.0
http://www.iiconsortium.org/iic-i40-joint-work.htm
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Architecture Alignment & Interoperability
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• Contributed by members of from both organizations
• 60+ draft revisions over 10+ month with several rounds of internal reviews in each organization
• Independently approved by each organization
Shi-Wan Lin (Thingswise)Erich Clauer (SAP)Ralf Neubert (Schneider Electric)Madhusudan Pai (Wipro)Heinrich Munz (KUKA) Stephen Mellor (IIC)
Brett Murphy (RTI)Ulrich Loewen (Siemens)Gerd Bachmann (VDI)Martin Hankel (Bosch Rexroth)Erich Barnstedt (Microsoft)
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Architecture Alignment & Interoperability
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• Highly complementaryo IIRA: broad applicability and interoperability across industrieso RAMI 4.0: in-depth focus on manufacturing & value-chain lifecycles
• The concepts, methods and models map to each other well
• Different emphasis in scope & depth from different perspectiveso together strengthen the digitalization of manufacturing and beyondo IIRA: analytics capability; RAMI 4.0: I4.0 Components
• Important to enable interoperability among IIoT systems that are based on IIRA & RAMI 4.0
• Common ground to enable connectivity/communication/connectivity/ semantic interoperability
IIRA RAMI4.0
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Industrial Internet, the Core Idea
IntelligentIndustrial Operations
TransformationalBusiness Outcomes
IIoT
Analytics Driving Optimal Decision-Making
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Deep
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Healthcare
Buildings & Infrastructure
Transportation & Logistics
Power/Utilities
Oil & Gas
Manufacturing
Agriculture
IIoT - a simple idea,widely applicable
Digitalization-driven optimizationfrom assets to processes,through the value chains, across enterprises & industries, end-to-end
Bro
ad
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Collaboration Between IIC and I4.0
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Driving the digitalization of industries:
advances the adoption of the industrial internet on a global scale that transcends industry boundaries
coordinates the Industrie 4.0-driven digital transformation of the German industry
Chicago, June 2016
Heidelberg, Sept 2016
Zurich
, No
v 20
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JTG1: Lifecycle Perspectives
JTG4: Interoperability & Standards
JTG2: Architectures Alignment
JTG5: Security
JTG3: Collaboration on Testbeds
Collaboration Between IIC and I4.0
JTG6: Coordination & Roadmap...
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IIRA & RAMI 4.0
Industrial Internet Reference Architecture Reference Architecture Model for Industrial 4.0
addresses concerns about IIoT, emphasizing its broad applicability and interoperability across industries
takes an in-depth focus on manufacturing and related value-chain lifecycles.
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Implementation Viewpoint
Functional Viewpoint
Usage Viewpoint
Business Viewpoint
Gu
ide
Val
idat
e &
Rev
ise
Identify & classify important system architectureconcerns into related categories – viewpoints -for their analysis and resolution.
Business vision & value driven, concern-resolution centric, iterative design methodology
IIRA – Business Value Driven Methodology
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biz values, objectives & capabilities
Usage activities
Functional decomposition & structureInterfaces & interactions
Activity &functional to technologies mappingImplementation Viewpoint
Functional Viewpoint
Usage Viewpoint
Business Viewpoint
Business View
Usage View
Functional View
Implementation View
IIRA - Architectural Templates and Models
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…
Intelligen
t & R
esilient C
on
trol
Industria
l Analy
tics
Dis
tribute
d D
ata
Mana
gem
en
t
Conn
ectiv
ity
Functional Domains
Business
Ap
plic
atio
n
Physical Systems
ActuationSense
Control
Info
rmat
ion
Op
erat
ion
sSystem Characteristics
Trustworthiness
Identify major common functional domains& their relation and interaction.
Identify major cross-cutting functions
Identify major system characteristics asemerging system properties
IIRA – Comprehensive Architecture Considerations
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RAMI4.0 – A Comprehensive Model for Manufacturing
identify standards requirementsassess applicability of relevant standardsrecommend best-fitting standards
Full Interoperability
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Industrie 4.0 Component
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Broad InteroperabilityCommon Model & Interface
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Industrial Internet Connectivity Framework
• a new IIoT stack model for mapping the rich connectivity landscape• an open connectivity reference architecture for interoperability• an assessment template for selecting suitable technologies and frameworks
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RAMI Communication Stack
• I4.0-compliant access to information and functions of a networked asset • a uniform I4.0 data format and a unified I4.0 communication• communication across multiple axes – described separately in each partition
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A Mapping of IIRA & RAMI 4.0
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Similarities & Differences
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A Functional Alignment between IIRA & RAMI 4.0
…
Intelligen
t & R
esilient C
on
trol
Ind
ustria
l An
aly
tics
Dis
tribu
ted D
ata
Ma
na
gem
ent
Co
nnectiv
ity
Functional Domains
Business
Ap
plic
atio
n
Physical Systems
ActuationSense
Control
Info
rmat
ion
Op
erat
ion
s
System Characteristics
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System Interoperability
Manufacturing Operations
Un
iqu
e Id
enti
fier
fo
r A
sset
s
Un
iqu
e Id
enti
fier
fo
r P
rop
erti
es
Stan
dar
diz
ed
Sem
anti
cs
Stan
dar
diz
ed
Fun
ctio
ns
Asset Usage Data For Enineering Processes
Predictive Maintenance
Maintenance Services
...
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Architecture Alignment & Interoperability
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IIRA & RAMI 4.0 share strong correspondence with many similar concepts. When differ, they are commentary in nature enhancing each other from the different prospects they offer in responding to the IIoT challenges.
We need interoperability between systems built based on them.
The better understanding of complementary nature of IIRA & RAMI 4.0 enables cooperation across industries,interoperability among systems across industries…
IIRA RAMI4.0
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Part II
Applying Industrial Internet
in Smart Manufacturing
An Architectural Approach
IIoT for Smart Manufacturing (ARC - Industrial IoT/Industrie 4.0 Viewpoints)
• https://industrial-iot.com/2017/09/iiot-smart-manufacturing/• https://industrial-iot.com/2017/09/iiot-smart-manufacturing-part-2-digital-thread-digital-twin/• https://industrial-iot.com/2017/10/iiot-smart-manufacturing-part-3-new-digitalization-architecture/
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Manufacturing Challenge & Response
Personalizationof Products
Globalization Of Market
Consumerizationof the Internet
Cost
Quality Efficiency
Change
dynamic responses to changes
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Digitalization of manufacturing
optimized manufacturing processes driven by
information to dynamically respond to changes
Information comes from analytics of data, lots of data…
Industrial Internet of Things
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The Digitalization of Manufacturing Environment
Cyber Physical Systems (CPS)
Product Design
Process Planning
Production Engineering
Product Chain
PLM
CAx
CAMSimulation
ALM : Asset Lifecycle Management == Production Lifecycle Management, to distinguish from Product Lifecycle Management (PLM)
SystemDesign
Build
Commission
Operation &Maintenance
Decommission
MRO
ALM
Disposal &Recycling
Asset Chain
APM
Manufacturing
Delivery & Distribution
Value Chain
Product Orders
Production Planning
Material & Supply
Customer support
ERP
SCM
CRM
MES
QMS
Multi-product small-batch
customized mass production,Rapid response to market demand
The introduction of more diverse,
more sophisticated products
in a shorter innovation cycle
High performance and quality at low cost
by dynamic optimization of the
deployment of production resources
Create value-added services and enable business transformation
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Digital Twin: A digital model for a product
• assessing capabilities & discovering deficiencies, • optimizing manufacturing & operational processes, • improving product designs,• precise product recall scope
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Digital Thread & Digital Twin
Product Design
Process Planning
Production Engineering
Product Chain
PLM
CAx
CAMSimulation
Manufacturing
Delivery & Distribution
Value Chain
Product Orders
Production Planning
Material & Supply
Customer support
ERP
SCM
CRM
MES
QMS
SystemDesign
Build
Commission
Operation &Maintenance
Decommission
MRO
ALM
Disposal &Recycling
Asset Chain
APM
Digital Thread
3D MBE
Digital Twin
As Manufactured: Production data
As Designed: Design model, process & engineering data
As Maintained: Usage & maintenance data
Digital Thread:• Integrate manufacturing functions • Integrate product data for digital models
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Cyber Physical Systems(CPS)
Product Design
Process Planning
Production Engineering
Product Chain
PLM
CAx
CAMSimulation
Manufacturing
Delivery & Distribution
Value Chain
Product Orders
Production Planning
Material & Supply
Customer support
ERP
CRM
MES
QMS
SystemDesign
Build
Commission
Operation &Maintenance
Decommission
MRO
ALM
Disposal &Recycling
Asset Chain
APM
Digital Thread
3D MBE
SCM
2
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IIoT & Analytics in Manufacturing
Digital Twin
Manufacturing
MES
QMS
Operation &Maintenance
Material & Supply
Realtime Monitoring
OEE
Fault Det. & Diag.
Predictive Maint.
Quality Analysis
Energy Optimization
Asset Perf. Mgmt
Product Data
Analytics
Supply Chain Data Analytics
PLM
ERP
MESProduction
Data Analytics
Process Optimization
Streaming Data Analytics:Responsive to events in the physical world
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Product Design
Process Planning
Production Engineering
Product Chain
PLM
CAx
CAMSimulation
Manufacturing
Delivery & Distribution
Value Chain
Product Orders
Production Planning
Material & Supply
Customer support
ERP
SCM
CRM
MES
QMS
SystemDesign
Build
Commission
Operation &Maintenance
Decommission
MRO
ALM
Disposal &Recycling
Asset Chain
APM
Digital Thread3D MBE
2
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Longitudinal Cross-domain Data Mining Analytics
Batch Big Data Analytics:To identify performance bottlenecks and inefficiencyTo build models for runtime analytics and engineering simulationsTo understand product usage patterns and customer preferences
Batch Big Data Analytics for Manufacturing
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Distributed Industrial Analytics
Processes Data Lakes
Data Collection & Process
Streaming Analytics
Big Data Storage
Batch Analytics
Data Integration
Digital Twin
Dynamic Machine & Process DataIn
form
ation
D
istribu
tion
Pro
cesses A
pp
lication
s
Responsiveness, reliability & security to production needs
Large computing resources for model building, Big Data and simulation
Cloud
Edge
Plants
Enterprise/ecosystem
Factories
Thingswise delivers a scalable distributed streaming analytics stack that are easy to deploy and maintain.
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Digital Manufacturing – An Overlaying Architecture
Orchestration & Control
Information
Data
Data
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Overlaying Architecture Mapping to IIRA
Functional Domains
Business
Ap
plic
atio
n
Physical Systems
ActuationSense
Control
Info
rmat
ion
Op
erat
ion
s
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Overlaying Architecture Mapping to RAMI 4.0
RAMI4.0
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IIoT – the Vision of Optimization
Downtime is predicted and prevented
Waste and defects are eliminated
Supply are replenished in time and surplus production minimized
Worker safety is ensured and sustainability is maintained
Full visibility to operation status providing access to real time, actionable information – operation management to mission control
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Analytic Platform for Intelligent Operations
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