基于数据挖掘的计量装置在线监测与智能诊断系统的设计与实现

为加强对现场计量装置、采集设备和配电网运行监测的实时性,提高对用户用电行为异常分析的准确性,研制了一套计量装置在线监测和智能诊断系统,其利用数据挖掘工具,实现了对计量装置和采集设备的运行状态评估,并对用户违约用电窃电和计量装置故障进行了智能诊断。该系统采用SOA技术架构,由异常指标专家库、实时监测与智能诊断和WEB应用三部分组成,并已在安徽省电力公司试运行,对保障电网安全稳定运行、反窃电和降低计量偏差造成的舆情发挥重要作用。

DesignSandSImplementationSofSMeteringSDeviceSOnlineSMonitoringSandSIntelligentSDiagnosisSSystemSBasedSonSDataSMining

In order to strengthen the real-time monitor of the field metering device, collecting device and the distribution network operation, and to enhance the accuracy of anomaly analysis for the user"s power use behavior, a system embedded in the power user electric energy data acquisition system has been developed, which based on online monitoring and intelligent diagnosis technology, using the data mining methods,by combination of abnormal event with the abnormity of external system and fault treatment process,and implements the status analysis of metering device and acquisition equipment, the judgment of breach of a contract for electricity using and electricity stealing, and the intelligent diagnosis of abnormal metering. Adopting the SOA technique structure, the system consists of three parts, the expert database of abnormal index ,the real-time monitoring and intelligent diagnosis,and the web application . The web application integrates the GPS positioning of abnormity with the GIS show, distribution and the dispatching process of abnormity. Trial operation in Anhui electric power company shows that the system which based on SOA structure is flexible deployment, can easily interact with external systems or data center information,and have the strong uniform quality of openness and security. The system strengthen the power consumption and the metering department on the analysis,positioning and dispatching efficiency of exception on the function. This can greatly improved the real-time monitoring, comprehensive analysis and rapid reaction ability of power company for the abnormality which may cause the accident of electric power and metering device fault. It also plays an important role in ensuring the security and stability operation of power grids, and causing public sentiment of anti-electricity stealing and reduing the metering deviation.