基于布谷鸟算法的管网漏损定位模型  

Leakage Location Model of Pipeline Network Based on Cuckoo Search Algorithm

作　　者：吴文红 崔玉莹 刘宁 WU Wen-hong;CUI Yu-ying;LIU Ning(School of Information Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450046,China)

机构地区：[1]华北水利水电大学信息工程学院,河南郑州450046

出　　处：《中国给水排水》2022年第11期38-42,共5页China Water & Wastewater

摘　　要：水务系统中的基础设施供水管网在漏损管理方面存在着检漏复杂、投入成本高等问题。基于此,通过算例管网参数构建水力模型进行漏损水力模拟,利用管网压力监测点的观测数据与模拟数据之间的最小差值建立目标函数,采用布谷鸟算法(CS)和遗传算法(GA)对管网漏损定位模型进行优化求解验证,以实现供水管网的漏损定位。结果表明,基于CS算法的管网漏损定位模型,在设置3个压力监测点进行漏损节点定位时精准率可达74%,设置2个压力监测点进行漏损节点定位时精准率约为60%,均比传统遗传算法定位性能好。The water supply network,which is the infrastructure of a water system,has the leakage management problems such as complicated leakage detection and high operating cost.Based on this,a hydraulic model was built through the parameters of a pipe network to simulate the hydraulic leakage,the minimum difference between the monitoring data and the simulated data was used to establish the objective function,and cuckoo search algorithm and genetic algorithm were used to optimize and verify the leakage location model,so as to realize the leakage location in the water supply network.The pipe network leakage location model based on cuckoo search algorithm had an accuracy of 74%when setting three pressure monitoring points to locate the leakage node,and approximately 60%when setting two pressure monitoring points to locate the leakage node,both of which had better location performances than that of the traditional genetic algorithm.

关 键 词：供水管网 漏损定位模型 布谷鸟算法 遗传算法 

分 类 号：TU991[建筑科学—市政工程]