边云协同下的电气设备状态异常记录数据统计方法

Statistical method of electrical equipment abnormal record data under edge cloud collaboration

所有电气设备的异常行为都会在用电数据中得到反映,应根据异常数据记录形式对相关信息参数进行整合和处理,基于此,提出边云协同下的电气设备状态异常记录数据统计方法。结合边缘云架构形式,定义统计任务的所属格式,再根据数据处理响应比的具体数值情况,完成电气网络的边云协同体系搭建,对异常数据参量进行降维处理,通过构造iTree指标,得到准确的统计度量计算结果,实现电气设备状态异常记录数据统计方法的顺利应用。实验结果显示,边云协同法则作用下的异常记录数据统计方法能够清晰体现电气设备异常行为的表现形式,可以按照数据记录的存在现状,对其进行有效的处理与整合。

The abnormal behavior of all electrical equipment will be reflected in the power consumption data,and the relevant information parameters should be integrated and processed according to the abnormal data record form.Based on this,the statistical method of electrical equipment abnormal record data under edge cloud collaboration is proposed.Combined with the edge cloud architecture,the format of statistical task is defined,and then according to the specific value of data processing response ratio,the edge cloud collaborative system of electrical network is built,and the dimension of abnormal data parameters is reduced.By constructing iTree index,the accurate calculation results of statistical measurement are obtained,it realizes the smooth application of the statistical method of abnormal record data of electrical equipment.The experimental results show that the statistical method of abnormal record data under the side cloud cooperation rule can clearly reflect the manifestation of abnormal behavior of electrical equipment,and can effectively process and integrate the data records according to the existing status of data records.