With the rapid development of the city, the scale of urban water supply pipe network is also expanding, and its topological structure is becoming more and more complex, which increases the difficulty of water supply security. Among them, the safety of water supply is most urgent. Therefore, a certain number of water quality monitoring points need to be set up in the water supply pipe network to monitor the quality of water supply. On the basis of previous research, aiming at optimizing the layout of water quality monitoring sites for water distribution networks, based on the single node water age method, the effects of other influencing factors on the water quality of the pipeline network are taken into consideration, and the water supply pipe network of a city in the north is used. The model is designed to optimize the layout of water quality monitoring points. Through the hydraulic simulation software, the node water age method is optimized, and the optimized layout procedure of water quality monitoring points based on the multi-factor optimization method is designed. The water supply network of a city in the north is calculated. The results showed that the location of the water quality monitoring point calculated by the multi-factor water quality monitoring point optimization method based on the hydraulic model is 43.75% coincident with the actual location, not only covering the conventional pipe network. Operational water plants and pressurized pump stations and other key water quality monitoring sites have also added monitoring points to the water supply demarcation line, pipe network, and pipe network terminal. Therefore, on the basis of artificial experience, supplemented by multi-factor method, the combination of theory and practice makes the layout method more scientific, considers factors more comprehensive, and makes distribution more reasonable. Using this method to analyze the conditions of the water supply pipe network can provide a better implementation plan for optimizing the layout of the water quality monitoring point.