供水管网的摩阻系数校核与漏损定位计算方法  

Calibration of Friction Resistance Coefficient and Calculation Method of Leakage Localization of Water Supply Network

作　　者：牛志广[1] 王宇飞[1] 张珽[2] 张宏伟[1] 

机构地区：[1]天津大学环境科学与工程学院,天津300072 [2]山西华宇集团,太原030002

出　　处：《天津大学学报》2011年第4期364-368,共5页Journal of Tianjin University(Science and Technology)

基　　金：国家自然科学基金资助项目(51008207);国家水体污染控制与治理科技重大专项资助项目(2008ZX07314-003);天津市科技支撑计划重点资助项目(09ZCGYSF00600)

摘　　要：漏损状态下管网摩阻系数的校核及漏损节点的准确定位是有效控制城市供水管网漏损的重要方法.以参照实际管网搭建的实验管网为研究对象,首先建立了管网模型摩阻系数校核和漏损节点定位的分步优化模型,然后将摩阻系数校核与漏损定位2个过程统一起来,建立了联合优化模型,并根据2种优化模型的数据需求设计了相应的实验方案.为求解上述2种模型,尝试采用粒子群优化(particle swarm optimization,PSO)算法作为求解方法,并编制了相应的优化计算程序.最终漏损定位结果表明,PSO算法求解上述各优化模型快速而准确,而且将摩阻系数校核与漏损定位放在同一模型中进行联合优化时,漏损节点的定位效果要优于分步优化的最终定位效果.The leakage localization and friction resistance coefficient calibration are important ways to control and reduce the leakage rate of urban water supply network.A laboratory-scale pipeline network simulating an actual water supply network was built.Firstly,two optimization models,the dividual model and the combined model of the leak-age localization and friction resistance coefficient calibration were build.Secondly,an experimental plan was made for the two models.Finally,the particle swarm optimization（PSO）algorithm was used to solve the above two optimi-zation models and a corresponding computer program was made.The results show that the PSO algorithm is accurate and fast to solve the optimization models above,and the combined optimization model is more accurate than the di-vidual one to identify the leakage points of the laboratory-scale pipeline network.

关 键 词：供水管网 摩阻系数校核 漏损定位 PSO算法 

分 类 号：TU991[建筑科学—市政工程]