基于机器学习的管道漏水监测预警的系统设计  

Design of a Machine Learning-Based Pipeline Leak Detection and Early Warning System

作　　者：曹梦川 马晓虎[1] 鲁菁[1] 伍丹 杜朋轩 CAO Mengchuan;MA Xiaohu;LU Jing;WU Dan;DU Pengxuan(Ningxia Polytechnic,Yinchuan Ningxia 750021,China)

机构地区：[1]宁夏职业技术学院,宁夏银川750021

出　　处：《信息与电脑》2023年第5期96-99,共4页Information & Computer

基　　金：宁夏回族自治区重点研发项目“城市智慧供水关键技术研究及应用”(项目编号:2022BEG02018)。

摘　　要：文章旨在研究如何通过声学检测和机器学习对管道漏水检测预警的具体实现原理。近年来,管道漏水问题已成为全球城市发展中越来越重要的热点,给城市给排水系统带来了极大威胁。因此,管道漏水监测预警的发展和应用显得尤为重要。先介绍了管道漏水所导致的问题和影响,再介绍声学检测技术和机器学习技术的原理,最后详细介绍了它在管道漏水监测中的应用。The purpose of this paper is to study how to realize the concrete principle of detecting and warning pipeline leakage through acoustic detection and machine learning.In recent years,the problem of pipeline leakage has become more and more important in the global urban development,which has brought great difficulties and threats to the urban water supply and drainage system.Therefore,the development and application of pipeline water leakage monitoring and warning is particularly important.This paper first introduces the problems and influences caused by pipeline leakage,and then introduces the principle of acoustic detection technology and machine learning technology,and its application in pipeline leakage monitoring is introduced in detail.

关 键 词：管道漏水 声学监测 实时监测 机器学习 

分 类 号：TP302.1[自动化与计算机技术—计算机系统结构]