摘要
供水管网漏水是一个普遍存在的问题,长期以来一直困扰着供水系统的安全和可靠性。随着人工智能技术的快速发展和广泛应用,越来越多的研究人员开始将其运用于供水管网漏水探测领域。管网中泄漏的定位信息可以利用管网中各个点的压力或流量值的分布进行确定,然而这是一个复杂的逆向工程问题,本文使用人工智能技术支持向量机(SVM)处理管网中的压力和流量值来获得管网泄漏的位置和大小信息。
Water leakage in water supply networks is a common problem that has been troubling the safety and reliability of water supply systems for a long time.With the rapid development and widespread application of artificial intelligence technology,more and more researchers are applying it to the field of water leakage detection in water supply networks.The location information of leaks in the pipeline network can be determined by utilizing the distribution of pressure or flow values at various points in the pipeline network.However,this is a complex reverse engineering problem.This article uses artificial intelligence technology support vector machine(SVM)to process the pressure and flow values in the pipeline network to obtain the location and size information of leaks in the pipeline network.
作者
宋扬
SONG Yang(Liaoning Headquarters of China Construction Materials Industry Geological Exploration Center,Shenyang 110004,China)
出处
《城市勘测》
2024年第4期101-104,共4页
Urban Geotechnical Investigation & Surveying
关键词
人工智能
支持向量机
供水管网
泄漏
探测分析
artificial intelligence
support vector machine
water supply network
leak
detection analysis