最小权点覆盖下的智能电表通信故障区域预警方法

电表通信故障预警可以保证智能电表的通信安全，有利于实现对智能电能表的全过程质量管控。但是，智能电表的工作轨迹具有随机性，跟踪难度较大，其故障变量信息的提取难度较大。为此，提出了基于最小权点覆盖的智能电表通信故障区域预警方法。利用智能电表运行状态的观测向量作为故障检测的关键变量，计算出运行状态观测向量的平均轨迹。根据智能电表通信故障数据变量在不同时刻的运行轨迹，提取出智能电表通信故障的关键变量信息，完成智能电表通信故障的检测。在最小权点覆盖下，采集智能电表通信故障数据。利用Fisher准则，计算出智能电表通信故障属性的重要程度，通过设计智能电表通信故障区域预警算法，实现智能电表通信故障区域的预警。实验结果表明，研究方法可以成功预警智能电表通信故障，通过较高的预警准确率确保了智能电表的稳定运行。

Intelligent Meter Communication Fault Area Early Warning Method under Minimum Weight Point Coverage

The communication fault early warning of electric meter can ensure the communication safety of intelligent electric meter and is conducive to the whole process quality control of intelligent electric meter. However, the working track of smart meter is random, so it is difficult to track, and it is difficult to extract the fault variable information. Therefore, an early warning method of intelligent meter communication fault area based on minimum weight point coverage is proposed. Using the observation vector of smart meter operation state as the key variable of fault detection, the average trajectory of the observation vector of operation state is calculated. According to the running track of smart meter communication fault data variables at different times, the key variable information of smart meter communication fault is extracted to complete the detection of smart meter communication fault. Under the minimum weight point coverage, collect the communication fault data of smart meter. Using Fisher criterion, the importance of communication fault attribute of smart meter is calculated, and the early warning algorithm of communication fault area of smart meter is designed to realize the early warning of communication fault area of smart meter. The experimental results show that the research method can successfully warn the communication failure of smart meter, and ensure the stable operation of smart meter through high early warning accuracy.