边云协同机电设备PHM共享平台构建研究

Research on Building a PHM Shared Platform for Edge Cloud Collaborative Mechanical and Electrical Equipment

针对全区水利工程中的泵站、船闸机电设备的维护能力弱、成本高、效率低、故障率高的问题,探讨采用DT、IoT和AI技术、大数据和边云协同计算技术构建全区水利工程中泵站、船闸机电设备PHM共享平台。采用智能数据采集实时监测设备状态,利用边缘云处理机电设备现场数据,云计算中心分析处理全区所有泵站、船闸机电设备数据、用概率数字孪生模型预测潜在故障、用AI深度学习模型预测设备剩余寿命,对提升全区水利工程实施利用效率有积极作用,也为建设智慧城市奠定基础。

In response to the problems of weak maintenance ability,high cost,low efficiency,and high failure rate of mechanical and clectrical cquipment in pump stations and ship locks in the entire region's water conservancy cnginccering,this paper explores the use of DT,IoT,AI tech-nology,big data,and cdge cloud collaborative computing tcchnology to build a PHM sharing platform for mechanical and electrical equipment in pump stations and ship locks in the entire region's water conservancy engineering.The use of intelligent data collection for real-time mo-nitoring of equipment status,the use of edge cloud processing for on-site data of mechanical and electrical equipment,the analysis and processing of all pump stations and ship lock mechanical and electrical equipment data in the entire area by the cloud computing center,the prediction of potential faults using probability digital twin models,and the prediction of equipment remaining life using Al deep learning models have a positive effect on improving the efficiency of water conservancy engineering implementation and utilization in the entire area,and also lay the foun-dation for building a smart city..