Abstract:In order to solve the problem of on-line monitoring and early warning evaluation of intelligent distribution station, an evaluation method of intelligent distribution station operation state based on data mining is proposed. Firstly, a distribution station multi source information matrix is established to describe the temperature information, humidity information, water intrusion information, smoke information, switching remote sensing information and switching remote control information within the distribution station room in the period before the current time; secondly, the distribution station multi source evaluation matrix is used to describe the multi-source number of the intelligent distribution station room. According to the information matrix, the multi-source data evaluation matrix is evaluated quantitatively; then each column is synthesized quantitatively to generate the distribution station multi-source single evaluation matrix; finally, the distribution station multi-source single evaluation matrix is synthesized based on the weighted average method to generate the distribution station operation condition evaluation index. The feasibility of the proposed method is verified by the example analysis, which can meet the actual needs of the field project.