Traction substation grading and evaluation method and system and electronic equipment

The invention discloses a traction substation grading and evaluation method and system and electronic equipment, and relates to the field of intelligent evaluation of traction substations. The method comprises the following steps: performing weight assignment on acquired indexes to obtain weight vectors, clustering the indexes based on the weight vectors by using an unsupervised learning method to obtain a clustering cluster matrix, and establishing a clustering cluster index upper limit matrix and a clustering cluster index lower limit matrix on the basis of determining the range of each clustering cluster in the clustering cluster matrix under each index; determining a cluster index matrix according to the cluster index upper and lower limit matrixes; according to a clustering cluster scoring vector obtained by scoring each clustering cluster by using data corresponding to different indexes, determining a scoring level of each clustering cluster in the clustering cluster matrix; and obtaining an evaluation