Author
Listed:
- Ignacio Rodriguez
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Rasmus Suhr Mogensen
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Andreas Fink
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Taus Raunholt
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Søren Markussen
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Per Hartmann Christensen
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Gilberto Berardinelli
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Preben Mogensen
(Department of Electronic Systems, Aalborg University, 9220 Aalborg Øst, Denmark)
- Casper Schou
(Department of Materials and Production, Aalborg University, 9220 Aalborg Øst, Denmark)
- Ole Madsen
(Department of Materials and Production, Aalborg University, 9220 Aalborg Øst, Denmark)
Abstract
The fourth industrial revolution, or Industry 4.0 (I4.0), makes use of wireless technologies together with other industrial Internet-of-Things (IIoT) technologies, cyber–physical systems (CPS), and edge computing to enable the optimization and the faster re-configuration of industrial production processes. As I4.0 deployments are ramping up, the practical integration of 5G wireless systems with existing industrial applications is being explored in both Industry and Academia, in order to find optimized strategies and to develop guidelines oriented towards ensuring the success of the industrial wireless digitalization process. This paper explores the challenges arisen from such integration between industrial systems and 5G wireless, and presents a framework applicable to achieve a structured and successful integration. The paper aims at describing the different aspects of the framework such as the application operational flow and its associated tools, developed based on analytical and experimental applied research methodologies. The applicability of the framework is illustrated by addressing the integration of 5G technology into a specific industrial use case: the control of autonomous mobile robots. The results indicate that 5G technology can be used for reliable fleet management control of autonomous mobile robots in industrial scenarios, and that 5G can support the migration of the on-board path planning intelligence to the edge-cloud.
Suggested Citation
Ignacio Rodriguez & Rasmus Suhr Mogensen & Andreas Fink & Taus Raunholt & Søren Markussen & Per Hartmann Christensen & Gilberto Berardinelli & Preben Mogensen & Casper Schou & Ole Madsen, 2021.
"An Experimental Framework for 5G Wireless System Integration into Industry 4.0 Applications,"
Energies, MDPI, vol. 14(15), pages 1-23, July.
Handle:
RePEc:gam:jeners:v:14:y:2021:i:15:p:4444-:d:599785
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Citations
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Cited by:
- Eneko Artetxe & Oscar Barambones & Isidro Calvo & Pablo Fernández-Bustamante & Imanol Martin & Jokin Uralde, 2023.
"Wireless Technologies for Industry 4.0 Applications,"
Energies, MDPI, vol. 16(3), pages 1-13, January.
- Yang, Xiaofeng & He, Hongwen & Wei, Zhongbao & Wang, Rui & Xu, Ke & Zhang, Dong, 2023.
"Enabling Safety-Enhanced fast charging of electric vehicles via soft actor Critic-Lagrange DRL algorithm in a Cyber-Physical system,"
Applied Energy, Elsevier, vol. 329(C).
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