The invention discloses a method for evaluating the synchronous state of meter code data of an intelligent terminal and an electric energy meter. The method comprises the following steps: obtaining all the meter code data collected by the intelligent terminal and the electric energy meter in a preset time from a data master station, and preprocessing the meter code data; carrying out value removal and exclusive OR processing according to the existence conditions of the meter code data on the integral point moments; carrying out clustering analysis on the exclusive OR processed meter code data by adopting a K-mean value clustering algorithm so as to obtain a clustering result; and evaluating the synchronous state of the meter code data of the intelligent terminal and the electric energy meter according to the clustering result. Compared with the prior art, the method is capable of timely discovering the differences between the data collected by the electric energy meter and the intelligent terminal in a measurement automatic system, so that the power grid running state can be completely understood, the operation and maintenance level of the collection terminal is enhanced and the completeness of the terminal is improved; and the method is effective application of data mining and machine learning to power grid data. The invention furthermore discloses a system.