应用遗传编程分析管网漏失监测信号

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。

Application of Genetic Programming to Analysis of Pipeline Leakage Detection Signal

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.