AIPP4 Production and energy systems automation

Transcription

1 AIPP4 Production and energy systems automation Prof. Jerker Delsing, ProcessIT.EU/LTU Prof. Walter Colombo, Schneider, Stamatis Karnouskos, SAP Didier Van den Abeele, Alstom Anders OE Johansson, ProcessIT.EU/LTU The association for R&D actors in embedded systems

2 Production(process and manufacturing) and energy system automation Application domains 2

3 Global society objectives Energy and environment objectives require New and improved processes, Smarter and more flexible and sometimes fast reconfigurable production and supervision systems, Supply and efficient management of utilities and energy Better use of new emerging paradigms and associated technologies, like Service-Oriented Architectures, Complex Systems-of-Systems Engineering High degree of visibility of processes, near real-time analytics, KPI-driven decision support and management Resulting in Smart (efficient) Production Solutions integrated and interoperating with the emerging Smart Grid Infrastructure and its services. 3

4 Embedded system industry objective Service-oriented Embedded System solutions will support production management and operation, covering functions and components across the different levels of an ISA 95 compliant Production Enterprise Architecture, from the sensor/actuator,throughout SCADA and MES to ERP with open service integration to society energy infrastructure adhering to standards like ISO for Substation Automation Providing support for: Flexibility, from real-time product grade changes and process tuning to raw material quality changes. Improvement in end-product quality will be achieved through active control of the manufacturing process and its energy management, moving from off-line to in-process quality and energy control through advanced automation. Improved man-machine interaction through advanced Embedded Systems and human-inthe-loop control systems will improve quality, flexibility and productivity by assuring zero operator errors, as well as reduce accidents. Agile adaptation to market demands, particularly for individual customization. Achieved through reduced commissioning and production ramp-up times, allowing fast changes in product type or grade to be made. Development of new business models facilitating the local and global interaction between cross-domain stakeholders. Provision of real-time information e.g. analytics and decision support mechanisms. 4

5 The AIPP4 strategic focus is towards Virtualization of automation and management functions (as cloud services) Working inside the cloud (qualification, authorization, composition, affinities, dependences, resilience, evolvability,...) Integration with legacy systems (scan based and event based) Migration from legacy systems to service-based heterogeneous System-Of-Systems Cross industrial application domain interoperability (i.e. Mining, water, energy,...) Cross industrial application domain integration (heterogeneous System-Of-Systems) Cross industrial application domain engineering (methodologies and tools) Configuration and reconfiguration support, cross domain and cross layer (i.e. ISA 95 enterprise architecture) Decision support, cross domain and cross layer (i.e. ISA 95 enterprise architecture) System evolution support Emergency management Security technologies and business Safety services (human and technology) New business models (i.e. services based solutions) 5

6 European leader ship 6

7 Application domains of AIPP4 Efficient production (manuf/process) Smart cities The Virtual Energy market Electro-mobility Energy production 7

8 8

9 Service based collaborative automation Providing Efficient energy utilization Environment friendliness Raw material yield Production efficiency Product quality The collaborative automation cloud through The collaborative automation cloud Solutions created Inter domain and Cross domain through Technology integration, Service Interoperability and orchestration High performance analytics, mobile device integration and futuristic enterprise services 9

10 Technology platform - collaborative automation Agile service driven infrastructure Service engineering Automation services Security, Trust and Risk management Migration of legacy systems Commissioning and run-time Interoperability/openness Integration-ability 10

11 Critical components Devices Communication Protocols Orchestration Automation Migration Enterprise-wide visibility 11

12 Sensors/actuators/devices as services Critical functionality - Eventing - Analytics, historical records, data mining - Security and Trust - Enterprise Management - Business model 12

13 Internet -> device/sensor level 13

14 Service Oriented Protocols Application Pilot A Service def Pilot B Service def Pilot C Service def Pilot D Service def Pilot E Service def Pilot A XML def Pilot B XML def Pilot C XML def Pilot D XML def Pilot E XML def XML - Semantics Compression/EXI CoAP PnP DPWS PnP OPC-UA UDP HTTP 1.1 TCP IPv4/IPv6/IP multicast 14

15 Orchestration in service-oriented Architectures I M C A E S O P ISA-95 Pattern Design Analysis Filter and place services to different domains and different layers Correct models with adequate properties Automatic analysis using formal based algorithms Devices installed at demonstration site Cross- Domain Communic ation Power Heating Transport Cross-Layer Communica tion Level Analysis with example output: Structural Analysis Structurally bounded Conservative Repetitive Consistent Behavioral Analysis Reachable markings Bounded Safe Live Reversible Validation Marked Petri Net Ordinary Petri Net All places connected All transitions connected Domain Application Design and Simulation Service Generation Composing of Services Cross-Layer Composing Cross-Domain Composing S2 S3 Topology Generation S4 S1 S5 S6 S8 S7 S9 High-level Petri Net Generation Functions of conventional components are mapped as services. Component à Service Voltage Control à PUT Voltage Pump à SET Pump Vehicle à PUT Vehicle Speed Limit High Level Design IMC-AESOP: ArchitecturE for Service-Oriented Process - Monitoring and Control Seventh Framework Programme (FP7) Theme ICT - Information and Communication Technologies Grant agreement no: Project Co-ordinator: Armando Walter Colombo Schneider Electric Automation GmbH 2011 The IMC-AESOP consortium. All disclosure and/or reproduction rights reserved

16 Migration - legacy to cloud IMC-AESOP: ArchitecturE for Service-Oriented Process - Monitoring and Control Seventh Framework Programme (FP7) Theme ICT - Information and Communication Technologies Grant agreement no: Project Co-ordinator: Armando Walter Colombo Schneider Electric Automation GmbH Jerker Delsing/Jesper Moberg LTU/Midroc 2010 The IMC-AESOP consortium. All disclosure and/or reproduction rights reserved 16

17 4 years project +150M Proposal coordinated by Contact 17