Abstract:In order to solve the problem that a large amount of equipment data obtained in the work of substation operation and maintenance is not fully utilized, in this paper, under the condition that the substation cloud platform has become possible, the data mining technology is mainly used to analyze and process the data obtained by the operators from the site. These data include equipment pressure, leakage current, number of actions, and equipment ledgers, which can be used to improve work efficiency and quality, make business decisions, avoid data islands, and improve the intelligent level of substation operation and maintenance. First, the trend extrapolation method is used for data fitting to guide the equipment inspection and maintenance work. Secondly, multiple linear regression method is used to analyze the influencing factors of equipment state and defect prediction and fault diagnosis. Thirdly, the artificial neural network is used for the analysis of power failure capacity. The rational use of data mining technology will promote the transformation of substation to the direction of intensive management and specialized operation and maintenance. Through data mining technology, the intelligent level of substation operation and maintenance work can be greatly improved, thereby optimizing manpower allocation and making work more precise and efficient.