何蓓,邹波,周峰,肖冀,骆凯波.基于决策树群的多维电能表状态检验技术及其应用[J].电测与仪表,2018,55(7):92-98. He Bei,Zou Bo,Zhou Feng,Xiao Ji,Luo Kaibo.Technology and Application of Multidimensional Remote Monitoring System for Watt-hour Meter Based on Group Decision Tree Model[J].Electrical Measurement & Instrumentation,2018,55(7):92-98.
基于决策树群的多维电能表状态检验技术及其应用
Technology and Application of Multidimensional Remote Monitoring System for Watt-hour Meter Based on Group Decision Tree Model
With the continuous increase in the number of electricity users, the application of smart energy meter was geometric growth. At present, there are some problems such as simple operation mode, long anomaly discovery period, invalid work, and poor timeliness of fault detection .Based on decision tree group of multi-dimensional energy meter state inspection technology can effectively solve these problems .this paper designs the state inspection system of the electric energy meter, realizes the comprehensive, intelligent and precise detection and maintenance of the energy meter, reduces the economic cost of manpower,, which based on the diagnosis model of tree group anomaly diagnosis, to solve the problem of on-site calibration, check no goals and other issues, improve the scientific and effective operation of the power grid.
