| With the increase in the operating life of the urban water supply pipe network,the changes in the water use population and the continuous increase in water demand,the pressure of the pipe network has become more fluctuating,the leakage rate has increased,and accidents have occurred frequently.Pipe network partition and pump valve regulation are pressure management methods to effectively control the leakage of the pipe network,but the number of pipe network partitions and the rationality of the pump valve control scheme will directly affect the effectiveness of water pressure management of water pipe net.In this thesis,EPANET software is used to establish a hydraulic model of the water supply network;considering the similarity of the node’s free water pressure and the position of the node(X,Y coordinates),the k-means-canopy algorithm is used to cluster the nodes in the pipe network,and the pipe network is Pressure zoning;A particle swarm optimization-based pump-valve combination control pressure optimization model is established;the above pressure management method is applied to the pipe network of a SPT district in a northern city.The specific research content is as follows:(1)A method for pressure partitioning of water supply pipe network based on hydraulic model is proposed.Nodes with similar attributes are divided into clusters.The geographical location and free water pressure of the nodes are considered,and the k-means-canopy algorithm is used.Solve and complete the clustering,combine the actual terrain,water volume,pipe network structure,DMA,etc.to further adjust the partition boundary,determine the location of the inlet pressure relief valve of each partition,and realize the pressure partition of the pipe network.(2)Established a pump-valve combination control pressure optimization model based on particle swarm optimization.To minimize the average pressure of the entire pipeline network as the objective function,the speed ratio of the variable frequency pump and the pressure setting after the pressure reducing valve are decision variables,the hydraulic balance constraints of the water supply pipeline network,the minimum water pressure at the node,the speed ratio range of the variable frequency pump and The pressure range behind the pressure reducing valve is the constraint condition,and the particle swarm optimization algorithm is used to find the optimal solution.The optimization model was used to simulate three schemes of single control of water pump,single control of pressure reducing valve and combination control of pump and valve.The simulation results of the scheme showed that the effect of combination control of pump and valve was the best,and the leakage of pipe network was from 1453.90 m3./d is reduced to 1191.99 m3/d,which is a reduction of 18%;the power consumption of the water pump is reduced from 5046.12 kwh/d to 4646.77 kwh/d,which is a reduction of8%.(3)Established an optimization model for combination control of pumps and valves under accident conditions.The goal is to minimize the sum of the pressures of the control points in each zone under various accident conditions.The constraint conditions are the same as the decision variables and the pressure optimization model under typical daily conditions.The pump valve control scheme under typical daily conditions is used as the simulation of accident conditions.The initial conditions of the pressure optimization model are used to simulate the period of time that does not meet the minimum pressure requirement to obtain a pump valve control program.The results showed that the average failure index of the pipe network dropped from 0.476 to 0,and the average elasticity index rose from 0.466 to 0.57.The safety and reliability of the pipe network have been significantly improved.The water pressure management method of water pipe net based on multi-condition pump valve joint regulation proposed in this thesis can not only effectively reduce pipe network leakage and energy consumption,but also has a certain degree of universality,which can be used for the management and maintenance of most water supply pipe networks.Provide theoretical and practical guidance. |