基于HPSO的供水管网摩阻因数反演  

Inversion of friction factor of water supply network based on HPSO

作　　者：张红梅 刘成荣 吴鑫淼[2] ZHANG Hongmei;LIU Chengrong;WU Xinmiao(Head Office of Rural Water Supply,Shijiazhuang 050011,China;School of Urban Rural Construction,Hebei Agricultural University,Baoding 071001,China)

机构地区：[1]河北省农村供水总站,石家庄050011 [2]河北农业大学城乡建设学院,河北保定071000

出　　处：《南水北调与水利科技（中英文）》2022年第3期619-624,共6页South-to-North Water Transfers and Water Science & Technology

基　　金：河北省水利科技计划项目(2020-54);河北省重点研发计划项目(21327001D)。

摘　　要：由于运行中管道实际摩阻因数与设计采用值的不一致会影响供水系统的运行质量和安全,为得到准确的摩阻因数以反馈设计,以及对运行中的供水系统进行系统诊断和优化调度,提出一种基于混合粒子群优化算法(hybrid particle swarm optimization,HPSO)和管网水力计算模型的管段摩阻因数智能反分析方法,该方法以监测点处的水压监测值与水力计算模拟水压值的二乘误差最小为目标,通过HPSO的强大全局寻优能力计算不同管段的摩阻因数。对室内试验管网模型的反演结果表明:采用正常工况下反演得到的摩阻因数模拟水压监测点处水压与实际测量值之间误差最大为2.87%;在爆管工况下,水压模拟值与实际测量值最大相对误差为2.63%,说明通过该方法进行摩阻因数的反演具有较强的稳定性。The water supply network is the lifeline project of the city.Under the background of the implementation of the rural revitalization strategy,the security of rural drinking water and the accelerated construction of the urban-rural water supply integration project,the water supply network has also become the lifeline project of the vast rural areas.In order to ensure the quality and quantity of water supply and complete the water supply task economically and reasonably,it is necessary to carry out scientific planning and design and precise optimization and scheduling of the water supply network.The hydraulic simulation calculation of the water supply network is the basis for the planning,design,operation scheduling and fault diagnosis of the pipeline network.Among the factors affecting the accuracy of the hydraulic calculation model of the pipeline network,the influence of the friction coefficient is particularly prominent.In order to narrow the gap between friction factor theory and practice,a calculation method based on hybrid particle swarm optimization algorithm and nodal water pressure method is proposed.Hybrid particle swarm optimization model is obtained by combining the selection mechanism of basic particle swarm optimization and genetic algorithm.The difference between hybrid particle swarm optimization and particle swarm optimization lies in that the particle swarm has to cross operate after updating the velocity and position,and replace the parent particle with the offspring particle.The crossover operation makes the offspring inherit the advantages of the parent particles and theoretically strengthens the ability to search the region between the particles.In the algorithm,the initial friction resistance factor is randomly selected and put into the Hazen-William formula.The square root of the square error of the square error between the water pressures is calculated based on the actual water pressure value of the nodes monitored by the pipeline network model as the fitness value,and the fitness is evalua

关 键 词：供水管网 混合粒子群算法 节点水压法 摩阻因数 反演 爆管监测 

分 类 号：TV134[水利工程—水力学及河流动力学]