An intelligent operation and maintenance mode of the distribution network based on the Internet platform is proposed to obtain all the data of the operation status of the distribution network as well as the possible anomalies and faults of the power equipment, thus improving economic benefits. An intelligent operation and maintenance platform of distribution network is built after the data from other professional systems is integrated into the Internet platform. The normalized spectral clustering algorithm is used to analyze the historical normal and abnormal data of multi-dimensional state variables, obtain the shape coefficient and contour coefficient of historical data curves, and extract the fault characteristics of multi-dimensional state variables. Besides, the submodules are designed on the basis of the submodule of knowledge discovery and a decision-maker to analyze the health of power equipment in the distribution network. According to the association rule mining, the importance index of power equipment is determined to assess the risk of decision-making for operation and maintenance, managing the decision-making for intelligent operation and maintenance of the distribution network. The experimental results show the model collects the real-time data to timely identify the power equipment with possible anomalies and faults, improving economic benefits of the distribution network.