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System Architectures for Cyber-Physical Production Systems enabling Self-X and Autonomy

 
: Stock, Daniel; Bauernhansl, Thomas; Weyrich, Michael; Feurer, Matthias; Wutzke, Rolf

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Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020. Proceedings : Vienna, Austria - Hybrid, 08 - 11 September 2020
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-8956-7
ISBN: 978-1-7281-8957-4
S.148-155
International Conference on Emerging Technologies and Factory Automation (ETFA) <25, 2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer IPA ()
Cyber-Physisches Produktionssystem; Cyber-Physisches System (CPS); Systemarchitektur; Autonomie

Abstract
Smart Manufacturing adopts an extensive amount of enabling technologies. Progress in ICT constantly drives innovations. Ubiquitous connectivity enabled by IoT technologies, increasing compute capacity and efficiency, and the subsequent push of digitalization in industry enabled new data-driven applications and the re-emergence of AI-technologies over the last decade. At the same time, the deficiencies of current infrastructures and system architectures are revealed when companies fail to adopt data-driven technologies extensively. This paper discusses how modern IT-architectures and infrastructure for cyber-physical production systems can enable their inherent self-x capabilities to pave the road towards higher levels of autonomy facilitated by data-driven technologies.

: http://publica.fraunhofer.de/dokumente/N-615589.html