Abstract:In order to reduce the cost overruns in the daily operating maintenance management and running error verification of electricity meter, due to the difficulties such as heavy workload, low efficiency, complicated conditions on site and limited experience of operators. Based on electricity information collection data, this article establishes a big data analysis model, proposes a digital driven calculation method of electricity meter running error. Based on conservation of energy, the method calculates the collected energy data of the platform archive, the main evaluation meter data and all the user meter data through using multi-metrological periodic data to establish linear equations. The weighted average and least square method are used to solve the equations, the results are considered to evaluate the running error of electricity meter and line loss rate of energy platform. This evaluation provides an important reference for the state evaluation of electricity meter, effective support for line loss management, smart electricity meters operation and accurate replacement. It can effectively reduce the on-site maintenance operation and improve the accuracy of fault analysis and location. The accuracy of the proposed method is verified by simulation and actual station data.