[1]熊浩廷,邵知宇,聂辉,等.基于聚类算法的道路排涝感知装备优化布局技术[J].中国给水排水,2026,42(15):123-129.
　XiongHaoting,ShaoZhiyu,NieHui,et al.Optimized Layout Technology of Road Drainage Risk Sensing Equipment Based on Clustering Algorithm[J].China Water & Wastewater,2026,42(15):123-129.
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基于聚类算法的道路排涝感知装备优化布局技术

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第42卷 期数: 2026年第15期 页码: 123-129 栏目: 出版日期: 2026-08-01
Title:
Optimized Layout Technology of Road Drainage Risk Sensing Equipment Based on Clustering Algorithm
作者:
熊浩廷1,2， 邵知宇1,2， 聂辉1,2， 詹子逸1,2， 陈磊1,2， 何强1,2
（1.重庆大学 三峡库区生态环境教育部重点实验室，重庆 400045；2.重庆大学 环境与生态学院，重庆 400045）
Author(s):
Xiong　Haoting1，2， Shao　Zhiyu1，2， Nie　Hui1，2， Zhan　Ziyi1，2， Chen　Lei1，2， He　Qiang1，2
（1. Key Laboratory of the Three Gorges Reservoir Region’s Eco-Environment ， Chongqing University， Chongqing 400045， China； 2. College of Environment and Ecology， Chongqing University， Chongqing 400045， China）
关键词:
超标降雨;  SWMM双排水模型;  道路风险感知设备;  聚类算法;  优化布局
Keywords:
extreme rainfall;  SWMM dual-drainage model;  road risk sensing equipment;  clustering algorithm;  optimized layout
摘要:
在超标降雨情景下，城市道路可临时作为地表行泄通道快速排放涝水。然而，道路排涝可能对行人和车辆构成安全风险，需要对内涝路段进行有效监测。本研究以优化道路风险感知设备的布设数量和位置、实现监测覆盖范围的最大化为目标，融合聚类算法与SWMM道路-管网双排水水力模型，构建节点时空相似性指标，并比较两种不同的时空相似聚类策略，建立了基于聚类分析的城市道路排涝风险感知设备布局优化模型。在此基础上，得到风险相似集群数目，并以集群聚类中心作为安装点位，显著提升了道路风险监测点布设的科学性与经济性，可为保障城市安全运行提供方法和工具。
Abstract:
Under extreme rainfall scenarios, urban roads can temporarily serve as surface drainage channels to rapidly discharge floodwater. However, road drainage may pose safety risks to pedestrians and vehicles, making it necessary to effectively monitor waterlogged road sections. This study aimed to optimize the number and placement of road risk sensing equipment to maximize monitoring coverage. To achieve this, a clustering algorithm was integrated with the SWMM dual-drainage hydraulic model (incorporating both road and pipe network), and a spatiotemporal similarity index for nodes was constructed. By comparing two different spatiotemporal similarity clustering strategies, an optimization model for the layout of urban road drainage risk sensing equipment based on cluster analysis was established. Based on this model, the number of risk-similar clusters was determined, and the cluster centers were selected as installation locations, which significantly improved the scientific rationality and economic efficiency of the deployment of road risk monitoring points. This study provides methodologies and tools to support the safe operation of urban cities.
更新日期/Last Update: 2026-08-01