运行中智能电能表质量分析及预测方法研究

文中提出了一种运行中智能电能表质量分析及预测方法研究的方法.该方法以电能表关键环节相关数据为基础,选取电能表在研发设计、物料采购、生产制造、验收检测、安装运行、拆回报废环节数据作为模型构建的样本数据,利用XGBoost算法分类方法建立智能电能表质量分析模型.以国网河南省电力公司的拆回电能表数据为例,对智能电能表各类质量...

Research on quality analysis and prediction method of intelligent watt hour meter in operation

This paper presents a research method of quality analysis and prediction of intelligent watt hour meter in operation. Based on the relevant data of the key links of the electric energy meter, the data of the electric energy meter in designing, material procurement, manufacturing, acceptance testing, running, demolition and scrapping are selected as the sample data for the model construction, and the XGBoost algorithm classification method is used to establish the quality analysis model of the intelligent electric energy meter. Firstly, taking the data of dismantling meter of State Grid Henan electric power company as an example, the modeling, analysis and prediction of various quality problems of intelligent electric energy meter are carried out, and the field verification is carried out, and then the model is continuously optimized according to the verification results. The results show that the accuracy of this method is 0.73, which can objectively reflect the quality of key links of intelligent watt hour meter.