市政技术2026，Vol.44Issue(8)：199-206,214,9.DOI:10.19922/j.1009-7767.2026.08.199
基于物联网监测的污水管网外水入侵与冒溢分析
Analysis of Extraneous Water Infiltration and Sewer Overflow in Sewage Pipe Networks Based on Internet of Things Monitoring
廖光伟 1朱安祥 2李鼎立 2普娇艳3
作者信息
- 1. 武汉智博创享科技股份有限公司,湖北武汉 430070||武汉工程大学,湖北武汉 430205
- 2. 武汉智博创享科技股份有限公司,湖北武汉 430070
- 3. 昆明清宁科技有限公司,云南 昆明 650000
- 折叠
摘要
Abstract
Extraneous water infiltration increases the operational load of sewage pipe networks and wastewater treat-ment plants,and may lead to manhole overflow and severe environmental pollution under extreme conditions.Tak-ing the sewage pipe network of a county in southern China as the research object,real-time data including rainfall,flow rate and water level were collected based on the internet of things(IoT).The minimum night flow method was adopted to analyze extraneous water infiltration in the research area during dry weather.Using typical dry-weather sewage flow as the baseline,variations of extraneous water inflow and manhole water level in the same area under different rainfall conditions were further analyzed.The research results show that the dry-weather extraneous water infiltration rate of all zones exceeds 70％,indicating severe extraneous water infiltration.Under specific rainfall conditions,the proportions of extraneous water inflow at four monitoring points are 64.69％,56.01％,62.26％and 45.97％,respectively.Only monitoring point 4 suffers moderate extraneous water infiltration,while the others expe-rience severe infiltration.Meanwhile,rainfall-induced inflow contributes to increased pipeline flow and rising man-hole water levels.Both indicators are positively correlated with rainfall intensity and rainfall duration,and manhole overflow may occur in serious cases.Combined with the case analysis,the monitoring of extraneous water infiltra-tion,rainfall inflow and sewer overflow can rely on the IoT platform to establish a management system featuring real-time monitoring,analytical evaluation and alarm response,so as to continuously promote the control of extraneous water infiltration and sewer overflow.关键词
污水管网/物联网监测/外水入侵/窨井冒溢/管道检测/夜间最小流量法Key words
sewage pipe network/internet of things(IoT)monitoring/extraneous water infiltration/manhole over-flow/pipeline inspection/minimum night flow method分类
建筑与水利引用本文复制引用
廖光伟,朱安祥,李鼎立,普娇艳..基于物联网监测的污水管网外水入侵与冒溢分析[J].市政技术,2026,44(8):199-206,214,9.
