Abstract:In order to deal with the increasingly complex monitoring information of power grid equipment, a unified big data management platform is established to realize multiple data sharing and information standardization, so as to improve the decision-making ability and work efficiency of regulators. This paper proposes a device monitoring information verification and practical event analysis management method for equipment monitoring and management. Firstly, through the natural language analysis and the device topology relationship, the association and fusion of the monitoring information of the primary and secondary devices is realized. Subsequently, through the intelligent comparison and inspection of the monitoring information between the equipment monitoring information and the EMS model, the integrity check of the monitoring information table is realized. The new algorithm of transformer load rate intelligent verification is used to check the hidden defects in the whole power grid telemetry, which provides an important basis for defect elimination. Finally, by monitoring data eventization, packetization and automatic identification methods, With big data shared platform of power equipment condition ,effectively judge faults and abnormal “incidents”, and assist the supervisors to quickly complete the whole process analysis of various grid events, by smart checking mechanism of transformer load rate , measurement value sampling error is timely detected ,thereby improving the efficiency of accident handling and scientifically evaluating the quality of monitoring alarms.