摘要
为有效减少城市供水管网漏失,快速、准确确定漏失点的位置及漏失水量,进而实现管网漏失的实时诊断,提出了基于遗传算法的供水管网反问题漏失定位方法.在构建基于反问题分析的微观基础水力模型的基础上,通过对管网漏失量与压力变化的相关性分析,以漏失点所在管网中的位置及漏失点相应的漏失水量为变量,以漏失发生时管网压力监测点的监测值与模拟值的差值最小为目标,建立了基于遗传算法的供水管网反问题漏失定位模型.通过3种工况下的漏失模拟计算,结果表明:所建立的反问题漏失定位模型可以有效地定位漏失点并优化预测漏失水量,可合理高效地制定漏失点检测与定位方案.
To reduce the network leakage effectively and determine the position of the leakage point or region and leakage volume quickly and exactly, the inverse transient leakage location technology based on genetic algo- rithm is proposed to realize the real-time leakage diagnosis of water supply network. First of all, the microscopic model is established as the basic hydraulic model based on inverse problem analysis. By correlation analysis of the network leakage and pressure variation, the inverse transient leakage location model of water supply network based on genetic algorithm is established. The model takes the position of the leakage point and the correspond- ing volume as variables, takes the minimum difference between the monitoring value and simulation value of pressure monitoring points when leakage occurs as target. By simulating three leakage modes, the practicality and effectiveness of the inverse transient leakage location model of water supply network are verified. The re- search provides important basis for making program of leakage detection and location effectively.
出处
《哈尔滨工业大学学报》
EI
CAS
CSCD
北大核心
2013年第2期106-110,共5页
Journal of Harbin Institute of Technology
基金
国家自然科学基金资助项目(51078193)
国家重大水专项课题(2009ZX7422-006)
关键词
供水管网
漏失定位
漏失量优化分析
遗传算法
反问题分析
water supply network
leakage location
optimization analysis of leakage volume
genetic algo- rithm
inverse transient analysis