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.
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)
出处
《城市勘测》
2022年第4期173-177,共5页
Urban Geotechnical Investigation & Surveying
关键词
漏水检测
机器学习
人工智能
water leak detection
machine learning
artificial intelligence