Enabling the human in the loop: Linked data and knowledge in industrial cyber-physical systems

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dc.contributor.authorEmmanouilidis, Christos
dc.contributor.authorPistofidis, Petros
dc.contributor.authorBertoncelj, Luka
dc.contributor.authorKatsouros, Vassilis
dc.contributor.authorFournaris, Apostolos
dc.contributor.authorKoulamas, Christos
dc.contributor.authorRuiz-Carcel, Cristobal
dc.date.accessioned2019-08-09T13:18:40Z
dc.date.available2019-08-09T13:18:40Z
dc.date.issued2019-03-19
dc.description.abstractIndustrial Cyber-Physical Systems have benefitted substantially from the introduction of a range of technology enablers. These include web-based and semantic computing, ubiquitous sensing, internet of things (IoT) with multi-connectivity, advanced computing architectures and digital platforms, coupled with edge or cloud side data management and analytics, and have contributed to shaping up enhanced or new data value chains in manufacturing. While parts of such data flows are increasingly automated, there is now a greater demand for more effectively integrating, rather than eliminating, human cognitive capabilities in the loop of production related processes. Human integration in Cyber-Physical environments can already be digitally supported in various ways. However, incorporating human skills and tangible knowledge requires approaches and technological solutions that facilitate the engagement of personnel within technical systems in ways that take advantage or amplify their cognitive capabilities to achieve more effective sociotechnical systems. After analysing related research, this paper introduces a novel viewpoint for enabling human in the loop engagement linked to cognitive capabilities and highlighting the role of context information management in industrial systems. Furthermore, it presents examples of technology enablers for placing the human in the loop at selected application cases relevant to production environments. Such placement benefits from the joint management of linked maintenance data and knowledge, expands the power of machine learning for asset awareness with embedded event detection, and facilitates IoT-driven analytics for product lifecycle management.en_UK
dc.identifier.citationEmmanouilidis C, Pistofidis P, Bertoncelj L, et al., (2019) Enabling the human in the loop: Linked data and knowledge in industrial cyber-physical systems. Annual Reviews in Control, Volume 47, 2019, pp. 249-265en_UK
dc.identifier.issn1367-5788
dc.identifier.urihttps://doi.org/10.1016/j.arcontrol.2019.03.004
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/14423
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectCyber-physical systemsen_UK
dc.subjectInternet of thingsen_UK
dc.subjectContext information managementen_UK
dc.subjectProduct lifecycle managementen_UK
dc.subjectAsset lifecycle managementen_UK
dc.subjectMaintenanceen_UK
dc.subjectHuman in the loopen_UK
dc.titleEnabling the human in the loop: Linked data and knowledge in industrial cyber-physical systemsen_UK
dc.typeArticleen_UK

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