基于关联规则挖掘的大规模智能电能表在线核查方法  

Online Verification Method of Large-scale Intelligent Electricity Meter Based on Association Rule Mining

作　　者：李佳莹 邢菁 杨娴 王丕适 黄雪玫 黄开来 LI Jia-ying;XING Jing;YANG Xian;WANG Pi-shi;HUANG Xue-mei;HUANG Kai-lai(Hainan Power Grid Co.,Ltd.,Haikou 570203 China)

机构地区：[1]海南电网有限责任公司,海南海口570203

出　　处：《自动化技术与应用》2025年第3期100-104,共5页Techniques of Automation and Applications

基　　金：海南省电网有限责任公司科技项目(HNKJXM20200225)。

摘　　要：为缩短现场核查时间,提升核查效率,提出基于关联规则挖掘的大规模智能电能表在线核查方法。利用采集终端在线采集不同台区的大规模智能电能表运行数据,传送至核查主站。核查主站利用电气特征提取单元,通过DBSCAN聚类算法提取智能电能表的电气特征;利用关联规则挖掘单元,通过Apriori算法挖掘智能电能表电气特征中包含的关联规则;在线核查单元依据关联规则挖掘结果,输出智能电能表在线核查结果。实验结果表明,该方法利用关联规则挖掘结果,可在线核查智能电能表中的计量故障、电源故障、窃电三种异常情况。The online verification method of large-scale intelligent electricity meters based on association rule mining is studied to shorten verification time and improve the verification efficiency.It uses the acquisition terminal to collect the operation data of large-scale intelligent electricity meters in different stations online and send them to the verification master station.The main check station uses the electrical feature extraction unit to extract the electrical features of smart electricity meters by DBSCAN clustering algorithm.The association rule mining unit is used to mine the association rules contained in the electrical features of smart electricity meters by the Apriori algorithm.The online verification unit outputs the online verification results of smart electricity meters according to the mining results of association rules.The experimental results show that the method use the mining results of association rules can check three kinds of abnormal conditions in smart electricity meters online,namely metering fault,power supply fault and electricity theft.

关 键 词：关联规则挖掘 智能电能表 在线核查方法 APRIORI算法 电气特征 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TM933[自动化与计算机技术—控制科学与工程]