摘要
智能电能表作为当前电能计量和经济结算的主要工具,它的故障率直接关系到国计民生。文中设计了基于智能电表运行故障数据分析的纵向分析模型。该模型可以对已经安装的不同厂家、不同批次的智能电表的故障率随时间的变化进行分析。首先清洗不可用数据,然后对基本的数据条目进行线性回归分析,得到每个批次的智能电表的故障率和故障率的变化率,进而再对批次故障率的变化率进行聚类分析,评估各厂家的智能电表质量的稳定性,为智能电表使用单位提供参考。该模型对智能电表的批次质量进行了评估,对厂家的智能电表质量评判起到重要的借鉴作用。
As the main tool of electricity measurement and economic settlement,the failure rate of smart meter is directly related to the national economy and livelihood of the masses.This paper devised a vertical analysis model of fault data of running smart meter.The model can analyze the operation failure rate data of smart meters from different manufacturers and batches.The model firstly cleans the useless data,then carries out linear regression analysis on the basic data items,and gets the fault data and changing rate of the failure rate of each batch,which are utilized to do the cluster to evaluate the stability of the factory quality.The method and the result of the model can assess the quality of the batch of the smart meter,and can be beneficial to estimate the quality of factory.
作者
刘紫熠
刘卿
王崇
王季孟
王玥
刘金硕
殷泽豪
LIU Zi-yi;LIU Qing;WANG Chong;WANG Ji-meng;WANG Yue;LIU Jin-shuo;YIN Ze-hao(State Grid Tianjin Electric Power Company Electric Power Research Institute,Tianjin 300000,China;School of Cyber Science and Engineering,Wuhan University,Wuhan 430076,China)
出处
《计算机科学》
CSCD
北大核心
2019年第B06期436-438,456,共4页
Computer Science
基金
国家电网公司科技项目(用电信息采集系统运行维护及现场移动作业关键技术研究)资助
关键词
智能电表
回归分析
聚类
多层模型
Smart meter
Regression analysis
Cluster
Multilayer model
