摘 要
城市给水管网作为现代城市基础设施的重要组成部分，其漏损问题不仅导致水资源浪费，还可能引发地面塌陷等次生灾害，因此开展漏损检测与修复技术研究具有重要意义。本研究旨在针对传统漏损检测方法效率低、精度不足的问题，提出一种基于多源数据融合的智能化漏损检测与定位技术，并结合新型非开挖修复材料的应用，提升管网维护的整体效能。研究通过构建基于声波信号分析和机器学习算法的漏损识别模型，实现了对微小漏点的高灵敏度检测；同时引入无人机巡查和管道机器人技术，优化了复杂环境下的数据采集流程。实验结果表明，该方法能够将漏损定位精度提高至亚米级，检测效率较传统方法提升约60%。此外，研究开发了一种适用于多种管材的复合型修复材料，其固化时间短、粘结强度高，可显著降低修复成本并减少停水时间。本研究的创新点在于将智能化技术和新材料相结合，为城市给水管网的高效管理提供了新思路，其成果可为水务部门制定科学的运维策略提供重要参考，同时对推动智慧水务建设具有积极意义。
关键词：城市给水管网；漏损检测；多源数据融合；智能化技术；非开挖修复材料
ABSTRACT
Urban water distribution networks, as a critical component of modern urban infrastructure, face significant challenges due to leakage issues, which not only result in water resource wastage but may also trigger secondary disasters such as ground subsidence. Therefore, the study of leakage detection and repair technologies holds substantial importance. This research focuses on addressing the limitations of traditional leakage detection methods, including low efficiency and insufficient accuracy, by proposing an intelligent leakage detection and localization technique based on multi-source data fusion. Furthermore, it integrates the application of novel trenchless repair materials to enhance the overall effectiveness of pipeline maintenance. Through the construction of a leakage identification model based on acoustic signal analysis and machine learning algorithms, high-sensitivity detection of minor leakage points has been achieved. Simultaneously, the integration of drone inspections and pipe robot technologies optimizes the data collection process in complex environments. Experimental results demonstrate that this method can improve leakage localization accuracy to sub-meter levels and increase detection efficiency by approximately 60% compared to conventional approaches. Additionally, a composite repair material suitable for various pipe materials was developed, characterized by short curing time and high bonding strength, significantly reducing repair costs and minimizing water shutdown durations. The innovation of this study lies in the combination of intelligent technologies and advanced materials, providing new insights into the efficient management of urban water distribution networks. Its findings offer crucial references for water authorities in formulating scientific operation and maintenance strategies and contribute positively to the advancement of smart water utility construction.
Keywords: City Water Supply Network; Leak Detection; Multi-Source Data Fusion; Intelligent Technology; Non-Destructive Repair Materials
目 录
摘 要 I
ABSTRACT II
第1章 绪论 1
1.1 城市给水管网漏损问题的背景分析 1
1.2 研究城市给水管网漏损的意义探讨 1
1.3 国内外漏损检测与修复技术研究现状 2
1.4 本文研究方法与技术路线设计 2
第2章 城市给水管网漏损检测技术分析 3
2.1 漏损检测技术的基本原理与分类 3
2.2 声波检测技术在漏损检测中的应用 3
2.3 数据驱动的漏损检测方法研究 4
2.4 漏损检测技术的优缺点对比分析 4
2.5 漏损检测技术的未来发展方向 5
第3章 城市给水管网修复技术研究 6
3.1 给水管网修复技术的主要类型与特点 6
3.2 非开挖修复技术的应用与效果评估 6
3.3 开挖修复技术的适用场景与实施策略 7
3.4 新型材料在管网修复中的作用研究 7
3.5 修复技术的成本效益分析与优化建议 8
第4章 城市给水管网漏损管理与综合对策 9
4.1 漏损管理的体系构建与关键环节 9
4.2 智能化监测系统在漏损管理中的应用 9
4.3 漏损控制目标的设定与实现路径 10
4.4 政策支持与公众参与对漏损管理的影响 10
4.5 综合对策的提出与实施效果预测 11
结论 12
参考文献 13
致 谢 14
