Autonomous CPSoS for cognitive large manufacturing industries.

Santofimia, Maria Jose; Villanueva, Felix J.; Caba, Julian; Fernandez-Bermejo, Jesus; del Toro, Xavier; Wiratunga, Nirmalie; Trapero, Juan R.; Rubio, Ana; Salvadori, Claudio; Lopez, Juan Carlos

Abstract

The general aim of a cognitive Cyber Physical System of Systems (CPSoS) is to provide managed access to data in a smart fashion such that sensing and actuation capabilities are connected. Whilst there is significant funding and research devoted to this area, focus remains purely on creating bespoke systems. This paper presents a novel approach, based on a set of components to leverage Situational Awareness and Smart Actuation in large manufacturing industries with the focus on enabling predictive maintenance for asset and abnormal situation management. This paper presents a novel generic platform, named AtiCoS, that combines case-based and common-sense reasoning, as the enabling methodologies for enhancing CPSoS with cognitive capabilities.

Citation

SANTOFIMIA, M.J., VILLANUEVA, F.J., CABA, J., FERNANDEZ-BERMEJO, J., DEL TORO, X., WIRATUNGA, N., TRAPERO, J.R., RUBIO, A., SALVADORI, C. and LOPEZ, J.C. 2021. Autonomous CPSoS for cognitive large manufacturing industries. In Proceedings of 47th Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society annual conference 2021 (IECON 2021), 13-16 October 2021, [virtual conference]. Piscataway: IEEE [online], article 9589159. Available from: https://doi.org/10.1109/IECON48115.2021.9589159

• Conference Name: 47th Institute of Electrical and Electronics Engineers (IEEE) Industrial Electronics Society annual conference 2021 (IECON 2021)
• Conference Location: [virtual conference]
• Start Date: Oct 13, 2021
• End Date: Oct 16, 2021
• Acceptance Date: Sep 18, 2021
• Online Publication Date: Oct 16, 2021
• Publication Date: Nov 13, 2021
• Deposit Date: Sep 30, 2021
• Publicly Available Date: Sep 30, 2021
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Series ISSN: 2577-1647
• DOI: https://doi.org/10.1109/IECON48115.2021.9589159
• Keywords: CPSoS; Predictive maintenance; Situational awareness; Smart actuation
• Public URL: https://rgu-repository.worktribe.com/output/1474667