基于TDengine的机械设备边云协同健康监测系统设计  

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

作　　者：叶宗真 余凯伟 张佳卿[2] 吴军[1] 周锦龙 YE Zongzhen;YU Kaiwei;ZHANG Jiaqing;WU Jun;ZHOU Jinlong(School of Naval Architecture and Ocean Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;Shanghai Development Center of Computer Software Technology,Shanghai 201112,China)

机构地区：[1]华中科技大学船舶与海洋工程学院,武汉430074 [2]上海计算机软件技术开发中心,上海201112

出　　处：《兵器装备工程学报》2023年第8期249-256,共8页Journal of Ordnance Equipment Engineering

基　　金：国家重点研发计划项目(2018YFB1702300);工信部高质量专项重点项目(TC210804R-1)。

摘　　要：针对机械设备健康监测的实时性与精准性需求,综合运用开源组件EMQX、Grafana、Web 2.0和微服务架构等,设计了一种基于TDengine时序大数据处理引擎的设备边云协同健康监测系统.构建系统总体架构及其功能模块,以边缘智能终端、云端Web平台、边云协同策略等核心技术构建整个健康监测系统;以船舶推进轴系为对象,进行了系统性实验,结果表明,该系统可以有效提高设备时序监测数据的处理能力与效率,降低设备运维成本与难度.该研究为提升设备健康监测的数字化与智能化水平提供了一种新思路.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.

关 键 词：健康监测 工业物联网 微服务 TDengine EMQX 

分 类 号：TJ83[兵器科学与技术—武器系统与运用工程] TH17[机械工程—机械制造及自动化]