老旧小区排水管网提质增效精准排查技术方法研究与应用
作者:
作者单位:

上海勘测设计研究院有限公司,上海市 200434

作者简介:

陈威(1991—), 男, 硕士, 工程师, 从事地下管网排查工作。

通讯作者:

中图分类号:

TU992

基金项目:

上海勘测设计研究院有限公司科研项目[2024YF(5)-001]


Research and Application of Precise Inspection Technology for Quality Improvement and Efficiency Enhancement of Drainage Pipe Networks in Old Residential Areas
Author:
Affiliation:

Shanghai Inverstigation Design and Research Institute Co., Ltd., Shanghai 200434, China

Fund Project:

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    摘要:

    针对老旧小区排水管网老化失修、雨污混接普遍、排查效率低下等突出问题,提出一种融合多技术手段的精准排查方案。通过系统梳理老旧小区排水系统典型病害特征,剖析传统排查方法与单一水质水量分析技术的局限性,构建"基础调查—重点筛查—精准检测"的三阶技术框架。该框架整合管网属性普查、水质快速监测、流量动态追踪及CCTV/QV管道检测等技术,实现问题管段的精准识别与优先级排序。实践表明,该技术体系可大幅缩减无效检测范围,降低排查成本30%以上,为老旧小区排水管网提质增效改造提供可靠技术支撑。

    Abstract:

    Aiming at the prominent problems such as the aging and disrepair of drainage networks, the widespread mixed connection of rainwater and sewage, and the low efficiency of inspection in old residential areas, a precise inspection scheme integrating multiple technical means is proposed. By systematically sorting out the typical disease characteristics of drainage systems in old residential areas, and analyzing the limitations of traditional inspection methods and single water quality and quantity analysis technologies, a three-stage technical framework of “basic investigation - key screening - precise detection” is constructed. This framework integrates the technologies such as pipeline network attribute census, rapid water quality monitoring, dynamic flow tracking and CCTV/QV pipeline detection to realize the accurate identification and priority ranking of problematic pipeline sections. Practice shows that this technical system can significantly reduce the scope of invalid detection, lower the inspection cost by more than 30%, and provide the reliable technical support for the quality and efficiency improvement, and reconstruction of drainage pipe networks in old residential areas.

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引用本文

陈威,张伟,张旭.老旧小区排水管网提质增效精准排查技术方法研究与应用[J].城市道桥与防洪,2026,(1):24-28.

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  • 收稿日期:2025-09-07
  • 最后修改日期:2025-11-30
  • 录用日期:2025-11-30
  • 在线发布日期: 2026-01-18
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