Industrial Internet & Smart Manufacturing

Transcription

1 Industrial Internet & Smart Manufacturing Shi-Wan Lin CEO & Co-Founder, Thingswise, LLC Co-Chair, Technology WG & Architecture TG, IIC Co-Chair, Architecture Joint Task Group, Plattform Industrie 4.0 & IIC Co-Chair, Vocabulary and Reference Architecture, NIST CPS Public Working Group IIC-Plattform Industrie 4.0 World Tours, Burlingame, December 08, 2017 Thingswise, LLC 2017, All Right Reserved

2 Part I Architecture Alignment & Interoperability An IIC & Plattform Industrie 4.0 Joint Whitepaper 2

3 Architecture Alignment & Interoperability Jointly Publish a Whitepaper on Architecture Mapping & Alignment between IIRA & RAMI

4 Architecture Alignment & Interoperability Contributed by members of from both organizations Shi-Wan Lin (Thingswise) Brett Murphy (RTI) Erich Clauer (SAP) Ulrich Loewen (Siemens) Ralf Neubert (Schneider Electric) Gerd Bachmann (VDI) Madhusudan Pai (Wipro) Martin Hankel (Bosch Rexroth) Heinrich Munz (KUKA) Erich Barnstedt (Microsoft) Stephen Mellor (IIC) 60+ draft revisions over 10+ month with several rounds of internal reviews in each organization Independently approved by each organization 4

5 Architecture Alignment & Interoperability IIRA RAMI4.0 Highly complementary o IIRA: broad applicability and interoperability across industries o 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 perspectives o together strengthen the digitalization of manufacturing and beyond o 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 5

6 Industrial Internet, the Core Idea IIoT Intelligent Industrial Operations Transformational Business Outcomes Analytics Driving Optimal Decision-Making

7 Broad IIoT - a simple idea, widely applicable Healthcare Buildings & Infrastructure Transportation & Logistics Digitalization-driven optimization from assets to processes, through the value chains, across enterprises & industries, end-to-end Deep Power/Utilities Oil & Gas Manufacturing Agriculture 7

8 Collaboration Between IIC and I4.0 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 Zurich, Nov 2015 Heidelberg, Sept 2016 Chicago, June

9 Collaboration Between IIC and I4.0 JTG1: Lifecycle Perspectives JTG2: Architectures Alignment JTG3: Collaboration on Testbeds JTG4: Interoperability & Standards JTG5: Security JTG6: Coordination & Roadmap... 9

10 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. 1 0

11 Validate & Revise IIRA Business Value Driven Methodology Guide Business Viewpoint Usage Viewpoint Functional Viewpoint Identify & classify important system architecture concerns into related categories viewpoints - for their analysis and resolution. Business vision & value driven, concernresolution centric, iterative design methodology Implementation Viewpoint 1 1

12 IIRA - Architectural Templates and Models biz values, objectives & capabilities Business Viewpoint Business View Usage View Usage activities Usage Viewpoint Functional decomposition & structure Interfaces & interactions Functional Viewpoint Functional View Activity &functional to technologies mapping Implementation Viewpoint Implementation View 1 2

13 Operations Information Application IIRA Comprehensive Architecture Considerations Trustworthiness Functional Domains Business Control System Characteristics Connectivity Distributed Data Management Industrial Analytics Intelligent & Resilient Control Identify major common functional domains & their relation and interaction. Identify major cross-cutting functions Identify major system characteristics as emerging system properties Sense Actuation Physical Systems 1 3

14 RAMI4.0 A Comprehensive Model for Manufacturing identify standards requirements assess applicability of relevant standards recommend best-fitting standards Full Interoperability 1 4

15 Industrie 4.0 Component Common Model & Interface Broad Interoperability 1 5

16 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 1 6

17 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 1 7

18 A Mapping of IIRA & RAMI 4.0 Similarities & Differences 1 8

19 Operations Information Application A Functional Alignment between IIRA & RAMI 4.0 Functional Domains Business Control System Characteristics Intelligent & Resilient Control Industrial Analytics Distributed Data Management Connectivity Sense Actuation Physical Systems 1 9

20 Standardized Functions Standardized Semantics Unique Identifier for Properties Unique Identifier for Assets System Interoperability Manufacturing Maintenance Services Operations Predictive Maintenance Asset Usage Data For Enineering Processes

21 Architecture Alignment & Interoperability IIRA RAMI4.0 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 2 1

22 Part II Applying Industrial Internet in Smart Manufacturing An Architectural Approach IIoT for Smart Manufacturing (ARC - Industrial IoT/Industrie 4.0 Viewpoints)

23 Manufacturing Challenge & Response Personalization of Products Quality Cost Efficiency Consumerization of the Internet Globalization Of Market dynamic responses to changes Change 2 3

24 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 2 4

25 The Digitalization of Manufacturing Environment The introduction of more diverse, more sophisticated products in a shorter innovation cycle Product Chain PLM Product Design CAx Simulation Process Planning Production Engineering CAM ERP MES Value Chain Product Orders Production Planning Material & Supply Manufacturing QMS SCM Multi-product small-batch customized mass production, Rapid response to market demand Asset Chain System Design ALM Delivery & Distribution Build High performance and quality at low cost by dynamic optimization of the deployment of production resources Customer support CRM Commission Operation & Maintenance APM MRO Decommission Disposal & Recycling Create value-added services and enable business transformation Cyber Physical Systems (CPS) ALM : Asset Lifecycle Management == Production Lifecycle Management, to distinguish from Product Lifecycle Management (PLM) 2 5

26 Digital Thread & Digital Twin Digital Thread: Integrate manufacturing functions Integrate product data for digital models 3D MBE Digital Thread Product Chain PLM Product Design CAx Simulation Process Planning Production Engineering CAM ERP Value Chain MES Product Orders Production Planning Material & Supply Manufacturing QMS SCM Asset Chain System Design ALM As Designed: Design model, process & engineering data Delivery & Distribution Build As Manufactured: Production data Customer support CRM Commission Digital Twin: A digital model for a product assessing capabilities & discovering deficiencies, optimizing manufacturing & operational processes, improving product designs, precise product recall scope Digital Twin As Maintained: Usage & maintenance data Operation & Maintenance Decommission Disposal & Recycling APM MRO 2 6

27 IIoT & Analytics in Manufacturing Streaming Data Analytics: Responsive to events in the physical world 3D MBE Digital Thread Product Chain PLM Product Design CAx Simulation Process Planning PLM Production Engineering CAM MES ERP ERP Value Chain Product Orders Production Planning Material & Supply MES Production Manufacturing Data Analytics QMS Delivery & Distribution Customer support Supply Chain Data Analytics SCM CRM Asset Chain System Design Build Commission Product Operation Data & Maintenance Analytics ALM OEE APM MRO Cyber Physical Systems (CPS) Quality Analysis Process Optimization Predictive Maint. Fault Det. & Diag. Realtime Monitoring Energy Optimization Asset Perf. Mgmt Decommission Digital Twin Disposal & Recycling 2 7

28 Batch Big Data Analytics for Manufacturing 3D MBE Digital Thread Product Chain PLM Product Design CAx Simulation Process Planning Production Engineering CAM ERP MES Value Chain Product Orders Production Planning Material & Supply Longitudinal Cross-domain Data Mining Analytics Manufacturing QMS Delivery & Distribution SCM Asset Chain System Design Build ALM Customer support CRM Commission Batch Big Data Analytics: To identify performance bottlenecks and inefficiency To build models for runtime analytics and engineering simulations To understand product usage patterns and customer preferences Operation & Maintenance Decommission Disposal & Recycling APM MRO 2 8

29 Distributed Industrial Analytics Processes Data Lakes Data Integration Large computing resources for model building, Big Data and simulation Cloud Enterprise/ecosystem Digital Twin Batch Analytics Big Data Storage Streaming Analytics Information Distribution Processes Applications Factories Data Collection & Process Dynamic Machine & Process Data Edge Plants Responsiveness, reliability & security to production needs Thingswise delivers a scalable distributed streaming analytics stack that are easy to deploy and maintain. 2 9

30 Information Digital Manufacturing An Overlaying Architecture Data Data Orchestration & Control 3 0

31 Operations Information Application Overlaying Architecture Mapping to IIRA Functional Domains Business Control Sense Actuation Physical Systems 3 1

32 Overlaying Architecture Mapping to RAMI 4.0 RAMI

33 IIoT the Vision of Optimization Supply are replenished in time and surplus production minimized Downtime is predicted and prevented Waste and defects are eliminated 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 3 3

34 Analytic Platform for Intelligent Operations