Abstract：Leakage control and monitoring problems of water supply pipe network are common. The traditional method of zoning network based on pressure sensitivity and deploying pressure sensor only considers the pressure changes of network nodes, without combining the elevation information of network itself, and the effect of excessive local pressure during pressure regulation by pressure reducing valve is not obvious. To solve this problem, the pressure sensitivity of network nodes is coupled with elevation difference, and the distance in the objective function of FCM algorithm is defined as the sum of feature distance and spatial distance. A new clustering objective function containing elevation information is established to realize node partitioning clustering. The pressure reducing valve is arranged at the entrance of the partition, and the GA algorithm is used to solve the pressure behind the valve to achieve real-time fine control of the pressure of each node in the partition. The pressure sensor is arranged in each partition jointly with the intelligent algorithm and the empirical method, and the rationality of the sensor arrangement is verified by the leakage model. The results show that the scheme divided into four zones reduces the leakage rate of BIN network to 6.55%, which is 22.79% lower than that of the initial pipe network. The sensor layout combined with intelligent algorithm and empirical method has a remarkable effect on the monitoring of network leakage, and finally proves that the optimization strategy of network leakage control based on FCM algorithm introducing elevation information is effective and superior.