Research on monitoring and diagnosis model of dry bulk terminal conveying equipment based on edge-cloud collaborative technology

Hankun Shi; Xuelin Wang; Hongmao Zhou; Ning Lu

doi:10.1117/12.2653174

20 October 2022 Research on monitoring and diagnosis model of dry bulk terminal conveying equipment based on edge-cloud collaborative technology

Hankun Shi, Xuelin Wang, Hongmao Zhou, Ning Lu

Author Affiliations +

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123501G (2022) https://doi.org/10.1117/12.2653174
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

In this paper, taking the conveying equipment as the research object, aiming at the main characteristics and intelligent requirements of the current dry bulk terminal conveying system, a monitoring and diagnosis model of the dry bulk terminal conveying equipment based on the edge-cloud collaborative technology is proposed. The technical advantages of the company can jointly realize the tasks of perception, integration, monitoring and diagnosis of the conveying equipment, improve the monitoring and diagnosis function of the conveying equipment in the dry bulk terminal, and improve the safety supervision ability of the dry bulk terminal.

Citation Download Citation

Hankun Shi, Xuelin Wang, Hongmao Zhou, and Ning Lu "Research on monitoring and diagnosis model of dry bulk terminal conveying equipment based on edge-cloud collaborative technology", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123501G (20 October 2022); https://doi.org/10.1117/12.2653174

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