1、第卷 第期 电测与仪表 Vol. No.20年 第期 Electrical Measurement 2. 国网重庆市电力公司电力科学研究院，重庆 401123）摘要：随着电力用户的不断增加，智能电能表的应用数量呈几何式增长，目前现场检验方式存在着作业模式简单、异常发现周期长、无效工作繁多、故障发现及时性差等问题。基于决策树群的多维电能表状态检验技术可有效地解决这些问题，基于决策树群异常诊断模型对电能表状态检验系统进行设计，实现电能表运行状况的检测与维护，降低人力、物力等经济成本，解决现场校验不足、校验无目标等问题，提高电能表在运检测的科学性与有效性。关键词：决策树；单一异常分析；多维电能表状态
2、检验；设计与应用中图分类号：TM311 文献标识码：A 文章编号：1001-1390（2018）05-0000-00Technology and application of multi-dimensional remote monitoring system for watt-hour meter based on group decision tree group model He Bei1, Zou Bo1, Zhou Feng2, Xiao Ji2, Luo Kaibo1(1. State Grid Chongqing Electric Power Company, Chongqing
3、 400015. ；2. Electric Power Research Institute of State Grid Chongqing Electric Power CO. Company, Electric Power Research Institute, Chongqing 401123)Abstract：With the continuous increase in the number of electricity users, the application of smart energy meter was geometric growth. At present, the
4、re 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 The multi-dimensional energy meter state inspection technology based on decision tree group can effectively solve these problems .
5、 this This paper designs the state inspection system of the electric energy meter, which realizes the detection and maintenance of the energy meter, and reduces the economic cost of manpower, which . basedBased on the diagnosis model of tree group anomaly diagnosis, to solve the problem of on-site c
6、alibration, check no goals and other issues are solved, which improve improves the scientific and effective detection of electric energy meter.Keywords：decision tree group, analysis of anomaly, multi-dimensional remote monitoring for watt-hour meter, design and application 0 引 言随着电网建设的全面覆盖，电能表装置不断增多
7、，其故障诊断涉及户外作业，现场检验存在工作量大、校验时间长、对二次回路负载有相应要求等问题，为避免人工现场实施校验工作繁重等一系列问题，亟需开展高效电能表远程校验工作 1。近年来，电能计量装置的远程故障诊断已引起了社会的广泛关注，电力部门亦对此投入大量支持，如文献2建立远程监测系统，避免现场测试时的接线错误以及了解电能表的误差信息 2；文献3设计的一套大型的、智能化的“ 关口电能计量装置状态管理系统”，可与生产调度平台进行有效的数据交互，系统实施需配合实时视频图像监控措施 3；文第卷 第期 电测与仪表 Vol. No.20年 第期 Electrical Measurement 修回日期: 2017-07-06 (王克祥 编发)
