A metrological risk evaluation system of smart electricity meters based on big data

Smart electricity meter are the data bases of monitoring, auditing, counting and analyzing of energy [1]. At present, there are almost 400 million smart meters installed in China, although the meters put into use are qualified, the risk of error drift is still exist in the process of using, which will cause energy monitoring and statistical errors. Based on a large amount of first-check error data of the meters, we proposed a simple and effective method to analyze and evaluate the risk of error drift in the process of using.