The invention discloses a method for evaluating a manufacturer of an acquisition terminal based on a metrological big data clustering model. The method comprises the following steps: acquiring original data of the acquisition terminal and screening evaluation indexes of the measurement terminal; Gaussian mixture model clustering algorithm is used to extract typical evaluation index data, to obtainclustering center, to form decision matrix, and to standardize them according to benefit and cost respectively. Based on the weight of AHP, entropy method, Pearson correlation coefficient method andvariation coefficient method, the weights of evaluation indexes are calculated respectively, and the weights of evaluation indexes are obtained by the combination optimization model of index weights,and the evaluation matrices of comprehensive evaluation of the collection terminal are obtained by weighting the decision matrices. The quality of the collection terminal is comprehensively evaluatedby the angle measurement method, and the quality of each collection terminal supplier is sorted from high to low, and the evaluation results are obtained. The invention can provide support for the operation and maintenance work by using the electric power information acquisition system.