Abstract: In order to solve the problems of manual inspection of substation, low inspection efficiency, inspection quality can not be guaranteed, and avoid defects not found in time, which seriously affect the safe operation of power grid equipment. Using big data technology, this paper proposes an intelligent online patrol system for substation. By optimizing the intelligent monitoring device at the edge of the station, the intelligent and all-round perception of the running state of the device is realized, and the data preprocessing analysis is completed by the iot analysis terminal; at the same time, the cloud big data platform is used to accurately analyze and judge the status data of main and auxiliary equipment, improve the level of intelligent inspection, and solve the problem of blind areas in inspection; through the introduction of the overall framework, data processing and circulation principle of the system, it provides a new idea for the construction of intelligent patrol in substation, the IMD optimization allocation method based on genetic algorithm and the multivariate monitoring patrol strategy based on cooperative optimization method are adopted to solve the problems of high cost and poor patrol effect of intelligent patrol reform, the feasibility and practicability of the system is proved by the experiment and simulation of the system.