Abstract:In order to solve the problems of the current acquisition system work order omission, false alarm, large quantity, single, low accuracy, greatly reduce the field workload of grass-roots operation and maintenance personnel, eliminate the interference of human factors in measuring device fault judgment, improve the reliability and stability of the operation quality of the power metering device, assist in the decision of the procurement and deployment of metering device. This article explore the quality of electric power metering device running condition assessment, the use of big data analysis technology, will affect the quality of the equipment operation data from system and field, space, quantity, standard and so on multi-dimensional analysis system diagnosis, system data professional barriers, form four levels of health evaluation for the quality of operating equipment: health, sub-health, disease and serious disease, realizing the rapid and precise metering device fault, found hidden defects, provide solutions to problems. Transform the operation and maintenance mode, upgrade from the former "after-treatment" to "active prevention and control", and realize the purpose of precise and efficient operation and maintenance and lean management.