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Fogification of industrial robotic systems: Research challenges
Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, Framtidens energi. ABB AB, Västers, Sweden.ORCID-id: 0000-0003-2661-1961
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1364-8127
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0002-1687-930X
Vise andre og tillknytning
2019 (engelsk)Inngår i: IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT, Association for Computing Machinery, Inc , 2019, s. 41-45Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

To meet the demands of future automation systems, the architecture of traditional control systems such as the industrial robotic systems needs to evolve and new architectural paradigms need to be investigated. While cloud-based platforms provide services such as computational resources on demand, they do not address the requirements of real-time performance expected by control applications. Fog computing is a promising new architectural paradigm that complements the cloud-based platform by addressing its limitations. In this paper, we analyse the existing robot system architecture and propose a fog-based solution for industrial robotic systems that addresses the needs of future automation systems. We also propose the use of Time-Sensitive Networking (TSN) services for real-time communication and OPC-UA for information modelling within this architecture. Additionally, we discuss the main research challenges associated with the proposed architecture.

sted, utgiver, år, opplag, sider
Association for Computing Machinery, Inc , 2019. s. 41-45
Emneord [en]
Automation, Computer architecture, Fog, Industrial research, Internet of things, Robotics, Cloud based platforms, Computational resources, Control applications, Industrial robotic systems, Information modelling, Proposed architectures, Real time performance, Real-time communication, Fog computing
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Identifikatorer
URN: urn:nbn:se:mdh:diva-43888DOI: 10.1145/3313150.3313225ISI: 000473542200009Scopus ID: 2-s2.0-85066045184ISBN: 9781450366984 (tryckt)OAI: oai:DiVA.org:mdh-43888DiVA, id: diva2:1323059
Konferanse
2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019, 15 April 2019
Tilgjengelig fra: 2019-06-11 Laget: 2019-06-11 Sist oppdatert: 2019-10-11bibliografisk kontrollert

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