Research On Multi-inlet Pressure Reduction And Multi-objective Optimization Reconstruction Technology Of Water Supply Network

As the basic municipal facilities to use water resources,urban water supply network is an important part of urban development.Relevant data show that the leakage rate of water supply network in China is generally high,and there is a big gap between China and some developed countries in leakage control.In this paper,the partition pressure management and pipe network optimization are systematically studied in order to provide applicable technology for leakage control of water supply network.The traditional way of pressure reduction is to close the boundary of the area with a single inlet,which has the disadvantage of poor water supply safety and balance.In order to solve this problem,this paper uses BFSN clustering algorithm to cluster the urban water supply network based on the information of node free water pressure and network topology;An optimization model of multi-inlet pressure reducing valve is proposed and established,and the back pressure of each inlet pressure reducing valve is obtained by particle swarm optimization.The case study shows that the model not only improves the safety of the water supply network,but also makes the pressure of the network more uniform and reduces the water leakage to a greater extent.The optimization of pipe network is an effective method to reduce the leakage of pipe network.In this paper,a multi-objective optimization model of water supply network is established to minimize the pressure while reducing the cost.The objective function of the model is as follows:(1)the square sum of the difference between the node service water pressure and the minimum service water pressure;(2)Annual conversion cost of pipe network.The two objective functions do not exist alone,and they are often coupled together by decision variables.Therefore,when solving the multi-objective optimization model of water supply network in this study,we consider it as a single objective model,that is,the two indexes are normalized and then given a certain weight,and then the fitness function is obtained by adding them.Then it is applied to the actual project,and the feasibility and efficiency of the multi-objective optimization model of water supply network are verified by analyzing the simulation results.