Service-Oriented Architecture as an Integrative Backbone for Cyber Physical Systems

Transcription

1 Service-Oriented Architecture as an Integrative Backbone for Cyber Physical Systems Summary of Main Findings of the Manufuture 13 Stamatis Karnouskos Input from Manufuture 2013 Session Presentations: Rolf Riemenschneider, Armando Walter Colombo, Otto Karhumäki, Jose L. Martinez Lastra, Martin Wollschlaeger Session: CPS technologies Cyber-Physical Systems in manufacturing and production workshop Brussels 30 th October

2 W2.6 Session W2.6: Service-Oriented Architecture as an Integrative Backbone for Cyber Physical Systems. Chair: Dr. Rolf Riemenschneider, Research Programme Officer, DG for Communications Networks, Content & Technology, European Commission q Service-oriented Architecture: A world-wide adopted ICT-Paradigm towards Industrial Implementations of Cyber Physical Systems. Prof. Armando Walter Colombo, Research Program Manager at Schneider Electric Automation GmbH and Director of Institute for Industrial Informatics, Automation and Robotics, University of Applied Sciences Emden-Leer q Implementing SoA in Industrial Cases: The SME Viewpoint Video-icon. Otto Karhumäki, Technology Director of Fluidhouse Oy q Cyber-Physical-Systems in the Cloud Era. Stamatis Karnouskos, Research Expert, SAP q The Factory InfoStore: Using SoA to Easily Create Factory Applications. Prof. Jose L. Martinez Lastra, Professor, Tampere University of Technology q PLANTCockpit a Service-oriented System for enhancing Productivity in Manufacturing. Prof. Martin Wollschlaeger, Chair of Industrial Communications, Director of the Institute of Applied Computer Science, Faculty of Computer Science of TU Dresden. q ARTEMIS SRA. Laila Gide, Advanced Studies Europe Director, THALES q The ARTEMIS Innovation Pilot Project for Production and Energy Systems Automation. Prof. Jerker Delsing, Professor at Lulea University of Technology, Coordinator of the Arrowhead project h;p:// speakers/programme Pla;e Consult SPRL/PGmbH 2

3 Project Results SOCRADES:Service Oriented Cross-Layer Infrastructure for Distributed Smart Embedded Devices IMC-AESOP: Service Oriented Architecture for Next Generation SCADA/DCS systems PlantCockpit: A Service-oriented System for Enhancing Productivity in Manufacturing esonia: Embedded Service-Oriented Monitoring, Diagnostics and Control: Towards the Asset-Aware and Self-Recovery Factory. I M C A E S O P Pla;e Consult SPRL/PGmbH 3

4 The Future Manufacturing will depend on (collaborating) Cyber-Physical Systems (CPS) 4

5 Emerging Trends to consider in FoF q Prevalence of Internet technologies in Factory of the Future (FoF) q SOA-ready devices and systems / Internet of Things spreading q Multi-core (mobile) Networked Embedded systems (incl. GPU computing) q Virtualization and Cloud Computing q 3D printing and on-site/micro manufacturing q Bidirectional Integration with business systems (produce/consume info) q High performance analytics, asset management, reporting, etc. q Collaboration among the involved stakeholders q Highly flexible shop-floors to accommodate agile Enterprises 5

6 Cyber-Physical Systems drive the 4 th Industrial Revolution 6

7 Cyber Physical Systems realiza'on 7

8 SOA-Ready CPS: Web Services on Device 8

9 CPS: from sensors to SOA 9 I M C A E S O P

10 SOA-Ready CPS Constellations Pla;e Consult SPRL/PGmbH Web Service 10

11 Example: Advanced Pallet Information System Pla;e Consult SPRL/PGmbH 11

12 CPS Ecosystem Ø SOCRADES Ø IMC-AESOP DPWA, OPC UA, COAP, EXI SOA ready Devices Information driven Interaction Distributed Business Processes Legacy Integration Complex Event Processing (CEP) Workshop organised by Pla;e Consult SPRL/PGmbH 12 IMC A ESOP

13 SOA-Ready CPS as part of a Cloud-based Infrastructure Service Cloud 13 I M C A E S O P

14 Scalable Distributed Business Processes with CPS support 14

15 CPS in heart of Cloud of Things Era Enterprise Applications Enterprise Applications 3rd Party Systems Mobile App CPS Monitoring MES GW/ SCADA/ DCS Appliance Appliance Device MES Content Delivery Network SCADA/DCS Appliance Appliance Device monitoring CEP prediction maintenance M2M translation Cloud of Things Intelligent Device DSS management P2P M2M analytics semantics... CPS Cloud-assisted M2M CPS M2M Real-time Monitoring Management (soft control) Today Communication & Data Driven Integration Tomorrow Information/Intelligence/Collaboration Driven Integration Killer-apps: M2M Value Added Services empowered by the Cloud of Things I M C A E S O P 15

16 Example: Cloud Based SCADA/DCS Pla;e Consult SPRL/PGmbH I M C A E S O P 16

17 Information driven Cloud based Industrial Automation ISA I M C A E S O P

18 Migration: from legacy to SOA cloudbased CPS automation Emergent Behaviours Migration Path 1 Migration Path i Service Cloud Control / Interlocking Sensor/Actuators Process Current Implemented Systems Legacy Migration Path n Next Generation SoA-based System 18 I M C A E S O P

19 CPS to assist in Migration of legacy systems Dynamic Discovery of Services / P2P CommunicaSon / Cloud of Things InteracSon Service Service Service Service Service Client Layer Service Layer Gateway Mediator Resource Integra'on/ Layer Transla'on (non service- enabled, Layer possibly non- IP) I M C A E S O P Pla;e Consult SPRL/PGmbH 19

20 Success Stories: HMI Same data source Same interface Different applicasons Different exe plaworms From Silicon to the Cloud 20

21 Success Stories: PLANTCockpit PLANTCockpit enables Control: Various kinds of adjustments Rescheduling Optimisation and Decision Support: Processing time Energy and waste reduction Monitoring: Business & technical information Real-time & historical information Energy consumption Alarms and Events KPIs à By applying new visualisason types and an integrated view on processes 21 All pictures SAP AG

22 Success Stories: IMC-AESOP #1: Plant Lubrication System #2: Oil Lubrication Migration Event processing Real plant Large-scale systems #3: Plant Energy Management #4: District Energy Management Information models System-of-systems Large-scale systems Real-time SOA 22

23 Industry Example: Schneider Electric EcoStruxure Integra'ng different industrial automa'on domains via SoA (WS) compliant devices and systems 23

24 Open Issues / Challenges q How to manage large scale CPS infrastructures in FoF q Security, Trust, Resilience, Reliability, Safety in FoF q Real-time Data Collectionà Analysisà Decisionà Enforcement q Empower cross-layer collaboration in FoF q Open/Interoperable intra-/cross-domain interactions. q Discover and interact based on semantics? q Application Development based on FoF APIs q Impact of CPS to existing approaches and how to migrate? q Sustainable Management e.g. Energy-Driven 24

25 Open Issues / Challenges q Migration Strategies and Engineering Tools q information retrieval principles and organizational models for emerging areas q Generic Open FoF CPS services q Evolvable Application Development and lifecycle Management q Data Lifecycle Management & Sharing q Data Science on CPS-empowered Big Data q Simulation, analytics and forecasting in CPS FoF q Optimisation in Complex System of Systems Infrastructures 25

26 I M C A E S O P Contact: Stama's Karnouskos SAP Research SAP AG Vincenz- Priessnitz- Strasse 1 D Karlsruhe, Germany stamass.karnouskos@sap.com 26