Abstract: Aiming at the problems of increasing concurrent users and command sending times, and poor transmission rate and integrity of control commands, an intelligent monitoring system architecture based on domestic equipment was designed. The domestic Godson 2H chip is used to control different devices in the hydropower station equipment unit, collect their operation status data, and transmit the operation status data of the power transmission station equipment unit to the operator work station and monitoring terminal through 100m optical fiber Ethernet and gateway. According to the monitoring program of hydropower station equipment in the operator work station and monitoring terminal, the moving time window is used to divide the sub-time series of hydropower station equipment operation data, and it is fused with the location data of hydropower station equipment to obtain the space-time joint data of hydropower station equipment. The fuzzy c-means clustering method is used to detect abnormal values according to historical fault data, so as to realize the abnormal operation monitoring of hydropower station equipment. The experimental results show that the system has good stability and communication transmission ability in the application process. The collected operation data of hydropower station equipment is relatively accurate, which can effectively monitor the abnormal conditions of sluice hoists in hydropower station units, and the practical application effect is remarkable.