In order to effectively analyze the economic benefits of investment of the electricity distribution network from the perspective of the characteristics of the public transformer industry,it is necessary to classify the industry of public transformers.In this paper,the use of big data technology to analyze the industry load characteristics,and then the improved K-means algorithm based on canopy is used to analyze the characteristics of the public transformer load.After that,according to the cosine similarity algorithm,from the perspective of the characteristics of the four seasons load and the characteristics of holiday load,he analysis of public transformers belong to which industry.Finally,the industry fitting method from different dimensions is used to match the industry which public transformers belong.For public transformers in Jiangsu province,the use of the method has been achieved after the high accuracy rate,to achieve a more accurate analytical method of the public transformers industry.The analytical method of the industry which public transformers belong based on load data mining provide a strong support for the evaluation of economic benefits of investment of the electricity distribution network.