Design of TDengine based edge cloud collaborative health monitoring system for mechanical equipment

DOI:	10.11809/bqzbgcxb2023.08.036
Keywords:	health monitoring; industrial Internet of things; micro services; TDengine; EMQX
Abstract:	To meet the demand of real time and accuracy of mechanical equipment health monitoring, this paper comprehensively uses open source components EMQX, Grafana, Web 2.0 and microservice architecture to design an equipment edge cloud collaborative health monitoring system based on TDengine time series big data processing engine. It also builds the overall system architecture and its functional modules, and constructs the entire health monitoring system with core technologies such as edge intelligent terminal, cloud Web platform, edge cloud collaborative strategies. Finally, a systematic experiment is carried out by taking the ship propulsion shaft system as the object. The results show that the system can effectively improve the processing capability and efficiency of equipment time series monitoring data, and reduce the cost and difficulty of equipment operation and maintenance. This study provides a new idea to enhance the digitalisation and intelligence of equipment health monitoring.
Published:	2023-08-28
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