人工智能技术在供水管网漏水探测中的应用  

Application of Artificial Intelligence Technology in Leakage Detection of Water Supply Network

作　　者：汤正举 陈博 姜遍地 TANG Zhengju;CHEN Bo;JIANG Biandi(Henan Leak Pipelines Detection Technology Co.,Ltd.,Zhengzhou 450051,China)

机构地区：[1]河南力科管线探测技术有限公司,河南郑州450051

出　　处：《城市勘测》2022年第4期173-177,共5页Urban Geotechnical Investigation & Surveying

摘　　要：在运用噪声法对供水管网进行漏水探测的工作中,噪声记录仪常常会受到干扰噪声的影响,造成误报,耗费人力进行人工听测和现场复检。本文结合该实际问题,通过实验,尝试应用人工智能技术分辨管道噪声和干扰噪声。In the work of using the noise method to detect water leakage in the water supply pipe network,the noise recorder is often affected by interference noise,resulting in false alarms,which costs manual audiometry and on-site re-examination.Based on these actual problems,in this paper the artificial intelligence technology is applied to distinguish pipe noise and interference noise through experiments.

关 键 词：漏水检测 机器学习 人工智能 

分 类 号：TP391.6[自动化与计算机技术—计算机应用技术] TU821.3[自动化与计算机技术—计算机科学与技术]