用于计量异常事件分析系统的数据模拟算法

Data Simulation Algorithm Used for Measurement Anomaly Event Analysis System

介绍了一种针对计量异常情况进行分析的系统,系统收集用电信息采集系统的各类计量信息,按样本抽取、正态分布、均匀分布三种规则生成算法,模拟出标准、正确的数据。系统读取异常点后,结合计量异常专家库判断需模拟哪些异常数据,并修改对应数据,通过计量异常专家库的精确判断以及对标准数据的修改,得到需要的异常数据,写入数据库,建立计量异常模型。以"电能表飞走和突变"异常为例模拟了电量数据,对计量异常分析系统数据模拟方案的设计及实施有一定的实际意义。

A system for analysis of measurement anomaly condition is introduced. The system is used for collecting various measurement information of electricity consumption information collection system. It generates algorithm according to sample selection,normal distribution and uniform distribution rule. Then,it simulates standard and correct data. After the system reads abnormal points, it combines measurement anomaly expert database to judge abnormal data. Then ,it modifies accurate judgment of measurement anomaly expert writes in the database and establishes measurement an example of ＂fast walking and mutation anomaly corresponding data. It gets needed abnormal data through database and modification of standard data. After that ,it anomaly model. Electric quantity data is simulated through of watt-hour meter＂. It has a certain practical meaning for design and implementation of data simulation scheme of measurement anomaly analysis system.