王雷,陈莹,杨茗,杨仕军,张合强.基于云平台的计量运行数据深化应用与故障智能识别研究[J].电测与仪表,2020,57(7):87-92. Wanglei,chenying,yangming,yangshijun,zhangheqiang.Research on deepening application and fault intelligent recognition of measurement operation data based on cloud platform[J].Electrical Measurement & Instrumentation,2020,57(7):87-92.
基于云平台的计量运行数据深化应用与故障智能识别研究
Research on deepening application and fault intelligent recognition of measurement operation data based on cloud platform
Aiming at the problems of poor consistency of the file automation system, poor real-time monitoring effect and the data value has not been deeply explored, this paper combines the grid electric energy data uploading requirements, mainly for the application of the metering operation data deepening application and fault intelligent identification, As a basic platform support, the cloud platform builds a measurement data analysis platform, which can analyze the quality of measurement files and extract and process abnormal data to effectively solve the file consistency problem. Secondly, the platform can build a metering fault pool according to the typical faults of the metering, realize the analysis of the measured mass electric energy data and identify the suspected fault data, and assist the operation and maintenance personnel to carry out the operation and maintenance of the metering equipment. In addition, the platform can also be based on the analysis and mining of quantitative data, to achieve advanced analysis and application of data such as customer daily power consumption and abnormal data monitoring. The paper provides a reliable reference for the practice of China"s ubiquitous power internet of things in the field of metrology automation.
