4.5 Article

An Experimental Framework for 5G Wireless System Integration into Industry 4.0 Applications

Journal

ENERGIES
Volume 14, Issue 15, Pages -

Publisher

MDPI
DOI: 10.3390/en14154444

Keywords

5G; Industry 4.0; system integration; prototypes; manufacturing systems; IIoT; autonomous mobile robots

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Funding

  1. Industriens Fond Denmark through the project Real-Time Industrial IoT

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The fourth industrial revolution, Industry 4.0, utilizes wireless and IIoT technologies to optimize industrial production processes, while exploring the integration of 5G wireless systems with existing industrial applications to ensure successful digitalization.
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.

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