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A social network of collaborating industrial assets

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Li, H 
Palau, AS 
Parlikad, AK 

Abstract

jats:pThe IoT (Internet of Things) concept is being widely regarded as the fundamental tool of the next industrial revolution – Industry 4.0. As the value of data generated in social networks has been increasingly recognised, social media and the IoT have been integrated in areas such as product-design, traffic routing, etc. However, the potential of this integration in improving system-level performance in industrial environments has rarely been explored. This paper discusses the feasibility of improving system-level performance in industrial systems by integrating social networks into the IoT concept. We propose the concept of a social internet of industrial assets (SIoIA) which enables the collaboration between assets by sharing status data. We also identify the building blocks of SIoIA and characteristics of one of its important components – social assets. A sketch of the general architecture needed to enable a social network of collaborating industrial assets is proposed and two illustrative application examples are given.</jats:p>

Description

Keywords

Internet of Things, social networks, asset management, diagnostics and prognostics, condition-based maintenance, collaborating decision-making

Journal Title

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability

Conference Name

Journal ISSN

1748-006X
1748-0078

Volume Title

232

Publisher

SAGE Publications
Sponsorship
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (645733)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (645733)
Engineering and Physical Sciences Research Council (EP/K000314/1)
Engineering and Physical Sciences Research Council (EP/L010917/1)
Engineering and Physical Sciences Research Council (EP/I019308/1)
Engineering and Physical Sciences Research Council (EP/R004935/1)