Abstract: Combined with the manufacturing characteristics of smart meters, an appropriate big data analysis model was established based on the factory verification data, primary verification data, random sampling re-verification data, and re-verification data after eight years of continuous operation, and the distribution of the corresponding data was shown in the form of a diagram. Based on the above big data, the identification procedures of high-risk meters and medium-risk meters were established, and on-site calibration and screening of meters were carried out according to the identification results and corresponding technical specifications. The results of continuous tracking and risk control measures supported the implementation of the policy of extending the replacement cycle from 8 years to 12 or even 16 years, which supported the deepening of energy-saving and carbon-reduction work and boosted the construction of a conservation-oriented society.