应用遗传编程分析管网漏失监测信号  

Application of Genetic Programming to Analysis of Pipeline Leakage Detection Signal

作　　者：陈求稳[1] 刘锐平[1] 李伟锋[1] 王耀文 张孟涛 

机构地区：[1]中国科学院生态环境研究中心,北京100085 [2]北京市自来水集团供水公司,北京100031

出　　处：《中国给水排水》2010年第7期43-45,49,共4页China Water & Wastewater

基　　金：科技部支撑项目(07C1212203)

摘　　要：针对北京市供水管网漏失声学监测系统存在大量误报的问题,进行了现场信号衰减试验,并建立了信号在管道中传播的衰减模型;收集了报漏数据和实际漏失排查结果,采用遗传编程,开发了漏失监测信号判别模型,为辅助漏失排查提供了支持,提高了用户对管网漏失监测系统的使用效率。In order to minimize false alarms from acoustic detection devices for leakage from water distribution system in Beijing City, field signal decay experiments were conducted and a decay model for signal propagation in pipeline was constructed. Meanwhile, data from the detection devices and field examination were collected. A recognition model for leakage detection signal was developed using genetic programming method to provide support for helping leakage examination and improve the use efficiency of pipeline leakage detection system.

关 键 词：供水管网 漏失 遗传编程 

分 类 号：TU991.33[建筑科学—市政工程]