The Edge Computing Cloud Architecture Based on 5G Network for Industrial Vision Detection

Lu, Tielin; Fan, Zitian; Yue, Lei; Shang, Yujia; Chun-xi, Wang

doi:10.1109/icbda51983.2021.9402999

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Connected to an edge controller via timing or multimedia standard protocols. The visual detection device of the acquisition layer is connected to the edge controller [10][11][12][13] .…”

Section: System Design and Application Functionmentioning

confidence: 99%

Research on unattended vision inspection system for petrochemical industry based on 5G

Lu,

lei,

liu

et al. 2023

Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manu

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“…Connected to an edge controller via timing or multimedia standard protocols. The visual detection device of the acquisition layer is connected to the edge controller [10][11][12][13] .…”

Section: System Design and Application Functionmentioning

confidence: 99%

Research on unattended vision inspection system for petrochemical industry based on 5G

Lu,

lei,

liu

et al. 2023

Eighth Asia Pacific Conference on Optics Manufacture and Third International Forum of Young Scientists on Advanced Optical Manu

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“…In particular for the lab, 5G base stations with mm-wave FR2 support is seen as an essential evolution step. Under the current 5G lab deployments, operating in sub-6 GHz FR1 spectrum, available capacity might be limited for certain I4.0 applications, especially those demanding high uplink throughput for many devices, e.g., the industrial visual quality inspection based on computer vision [47]. In terms of operational flow, no updates are foreseen in the near future.…”

Section: Considerations For Future Framework Versionsmentioning

confidence: 99%

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

et al. 2021

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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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A Study of 5G and Edge Computing Integration with IoT- A Review

Gosain,

Aggarwal,

Kumar

2023

2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES)

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The Edge Computing Cloud Architecture Based on 5G Network for Industrial Vision Detection

Cited by 5 publications

References 6 publications

Research on unattended vision inspection system for petrochemical industry based on 5G

Research on unattended vision inspection system for petrochemical industry based on 5G

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

A Study of 5G and Edge Computing Integration with IoT- A Review

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