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COGNITWIN - Hybrid and Cognitive Digital Twins for the Process Industry

 
: Abburu, Sailesh; Berre, Arne J.; Jacoby, Michael; Roman, Dumitru; Stojanovic, Ljiljana; Stojanovic, Nenad

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Institute of Electrical and Electronics Engineers -IEEE-:
IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020. Proceedings : Virtual Conference, 15 - 17 June 2020
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-7037-4
ISBN: 978-1-7281-7038-1
Paper 195, 8 pp.
International Conference on Engineering, Technology and Innovation (ICE) <26, 2020, Online>
European Commission EC
H2020; 870130; COGNITWIN
COGNITIVE PLANTS THROUGH PROACTIVE SELF-LEARNING HYBRID DIGITAL TWINS
English
Conference Paper
Fraunhofer IOSB ()
process industry; intelligent factories; DigitalTwins; software architecture; software toolbox

Abstract
The concepts of Hybrid and Cognitive Digital Twin are introduced as elements of the next level of process control and automation in the process and manufacturing industry. We propose an architecture for the implementation of Hybrid and Cognitive Twins as part of the COGNITWIN software toolbox. The toolbox is designed to cover cognitive capabilities for optimal operations and maintenance of process equipment and assets, thereby minimizing production overheads and increasing efficiencies for the process industry. Furthermore, we identify a set of relevant use cases in the process industry and discuss the possible applicability and use of the toolbox.

: http://publica.fraunhofer.de/documents/N-602413.html