In order to solve the problems of strong subjective consciousness and complicated data in the comprehensive evaluation of traditional smart energy meter suppliers, a comprehensive evaluation method combining entropy weight theory and grey correlation degree is proposed. From the perspective of product quality, the method divides it into four stages: production supervision, quality assessment before delivery, quality assessment after arrival, and on-site operation evaluation, and manages the cloud platform system by building the energy meter life cycle. The relevant data of the design, key components, production, supervision, testing, operation, and end-of-life identification of the table are refined, and the quantifiable data indicators are obtained, which are used as the main basis for the comprehensive evaluation of the smart energy meter. The evaluation index system and the multi-objective comprehensive evaluation model are used to quantitatively evaluate the comprehensive performance level of the energy meter suppliers from multiple levels and multiple angles, and the evaluation results are objective, comprehensive and accurate.