The invention discloses a metering apparatus operation state early warning method which comprises the following steps of: 1, selecting index information that can reflect an operation state of each part from offline input information and online monitoring information of four composition parts of an electric energy metering apparatus; 2, pre-processing data and performing abnormal data removal and replenishment on original data; 3, respectively establishing evaluation systems and carrying out scoring on the operation state of each part by applying an AHP comprehensive evaluation model; 4, carrying out data mining on the evaluation system of each part, selecting evaluation indexes with great influence on the operation states; 5, combining the online monitoring information and by a cloud self-adaptive PSO-BPNN predicting model, predicting a future operation state score value of each composition part; and 6, comparing the predicted operation state score values with an evaluation standard, determining the operation states of four composition parts, and timely giving out an early warning signal. According to the metering apparatus operation state early warning method which is provided by the invention, the operation states of the metering apparatus can be effectively subjected to early warning, thereby improving the pertinency, reliability and scientificity of detection of the electric energy metering apparatus.