Self-aware Computing in Industry 4.0

Transcription

1 Heiko Koziolek, ABB Corporate Research Germany, Self-aware Computing in Industry 4.0 January 22, 2015 Slide 1

2 Context German initiative Focused on production (Smart Factory) Communication between all entities Flexibility International Many companies active Consumer oriented Communication in focus Dynamic US initiative Push by GE and Cisco Focusing on machine learning and big data International Embedded systems + network Not focused on a specific domain January 22, 2015 Slide 2

3 Industrie 4.0 Smart Factory Industrie Today Industrie 4.0 Vision Static product lines difficult to reconfigure Impossible to fit a Volkswagen with Porsche seats Dynamic reconfigurable product lines Vehicles become smart products that move autonomously through the assembly shop from one CPS-enabled processing module to another. [acatech: Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group, April 2013] January 22, 2015 Slide 3

4 Autonomic Computing Vision & Industrie 4.0 Concept Autonomic Computing Automated configuration and systems follows high-level policies. Rest of system adjusts automatically and seamlessly. Components and systems continually seek opportunities to improve their own performance and efficiency. System automatically detects, diagnoses, and repairs localized software and hardware problems. Industrie 4.0 Example Plug & Produce capabilities for industrial devices and plant modules. Autonomous throughput and energy optimization. Social Machines autonomously seeking knowledge and human experts. Selfconfiguration Selfoptimization Selfhealing Selfprotection January 22, 2015 Slide 4 System automatically defends against malicious attack or cascading failures. It uses early warnings to anticipate and prevent systemwide failures. based on: Jeffrey O. Kephart, David M. Chess: The Vision of Autonomic Computing. IEEE Computer 36(1): (2003) Intrusion Detection Systems in IEC (standard for cybersecurity in automation). based on: acatech: Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group, April 2013

5 Industrie 4.0 Plug & Produce Self-configuration Today: tedious manual integration of new devices and process modules static processes Found new Module! high engineering and commissioning costs Industrie 4.0: dynamic plugging and integration into a process dynamic processes e.g., via standardized models with semantic information January 22, 2015 Slide 5

6 Industrie 4.0 Plug & Produce Self-configuration (Self-)awareness required for Plug&Produce What capabilities does a new device have? How does a new device fit into the overall process? Self-awareness via standardized, vendorneutral, domain-specific models OPC UA, Automation ML, ecl@ss, No broad adoption yet, but many vendors are currently working on solutions Industrie 4.0 initiative will facilitate the alignment and adoption of these modeling standards January 22, 2015 Slide 6

7 OPC Unified Automation (IEC 62541) Example Boiler for Power Generation Boiler Model Industrial Boiler OPC UA Information Model January 22, 2015 Slide 7 [

8 Automation ML (IEC 62714) Standardized Models for Plant Engineering Data [ January 22, 2015 Slide 8

9 Self-aware Computing in Industry 4.0 Conclusions Visions of Autonomic Computing and Industry 4.0 are aligned e.g., for self-configuration, self-optimization, self-healing, self-protection Models useful for self-aware computing in industrial automation must be based on standards OPC UA, Automation ML, PLCopen, CAEX, As part of the ongoing Industrie 4.0 initiative the existing meta models will be extended, refined, and aligned Future work: exploit opportunities for self-aware industrial plants (both in research and industry) January 22, 2015 Slide 9

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