基于智水孪生的城镇供水管网漏损处置数据集

一、基于GIS系统构建供水管网拓扑模型，整合管网空间数据、拓扑关系和用户位置信息，集成用户信息系统，关联用户位置、用水性质、联系方式等关键信息。开发多维度阀门标记算法，考虑拓扑连接度、控制区域、优先级等参数，建立阀门关系图谱，支持N维组合分析，评估不同组合的联动效应。爆管应急响应机制，多模式爆管定位输入：支持位置定位、管段ID、地物参照等多种输入方式，形成多维度停水方案，包括停水范围最小、停水关阀最少、系统优化方案（区域压力平）等。关阀方案生成后展示停水管道容积、停水区域面积、停水管道长度、停水用户数、用户地址等，并根据需要是否标记重点用户。分析结果与短信服务对接，可以快速将停水、受影响的区域信息推送至相应用户。通过管道破损面积、压力等数据利用孔口泄流量计算公式既可根据判读预测孔口出流量，通过模型算法既可判断出区域范围内的影响（如最大压降、最大压降节点、受影响最大水厂、水厂最大增加水量等信息），依据《城市供水突发事故分级表》即可根据停水用户数量对应相应的停水事故等级。
二、现场关闭阀门操作中，经常会遇到现场阀门损坏、阀门井被遮挡等无法关闭的情况，此时需要标记阀门异常，一旦标记阀门异常，系统可以自动记录该阀门异常状态，下次在分析过程中自动默认该阀门为异常阀门，不会参与到分析当中。与运维系统对接，形成设备异常的闭环管理。可多次进行二次关阀搜索，并根据新的搜索结果生产相应的停水区域、停水用户信息等。
三、在发生异常爆管事故时，通过实时采集（输入）管道破损面积、管道压力、流体流速、管径尺寸等关键参数，结合流体力学模型（如伯努利方程或水力瞬变分析）动态计算泄流量，实现泄漏规模的精准量化。同时，系统依托管网拓扑关系和实时水力模型，自动执行多维度影响分析，包括影响范围、影响程度等。
四、为实现用户数据与管网拓扑系统的无缝集成，采用地址标准化与智能空间匹配技术。通过对用户文本地址进行结构化处理，结合地理编码引擎，将非结构化的地址信息自动转换为高精度的空间坐标。该坐标体系通过多层级地址解析、动态坐标生成算法、管网拓扑自适应映射等与管网拓扑进行关联。

1. Construct a water supply pipeline network topological model based on the GIS system, integrate spatial data of the pipeline network, topological relationships and user location information, integrate user information systems, and associate key information such as user location, nature of water use, contact information, etc. Develop a multi-dimensional valve marking algorithm that takes parameters such as topological connectivity, control area and priority into account, establishes a valve relationship graph, supports N-dimensional combined analysis, and evaluates the linkage effects of different combinations. For the pipe burst emergency response mechanism, it supports multi-mode pipe burst location input: multiple input methods such as location positioning, pipe segment ID and feature reference are available, forming multi-dimensional water cut schemes including the minimum water cut range, the least number of closed valves for water cut, and system optimization schemes (e.g., regional pressure balance). After the water cut valve closing scheme is generated, display the volume of the water cut pipeline, the area of the water cut area, the length of the water cut pipeline, the number of affected users, user addresses and other information, and mark key users as required. Connect the analysis results with the short message service to quickly push the information of water cut and affected areas to corresponding users. Using the orifice discharge calculation formula based on data such as pipeline breakage area and pressure, the orifice discharge flow can be predicted through interpretation, and the impacts within the regional scope can be judged through model algorithms (such as maximum pressure drop, maximum pressure drop node, most affected water plant, maximum increased water volume of water plant, etc.). According to the *Urban Water Supply Emergency Accident Classification Table*, the corresponding water cut accident level can be determined based on the number of water cut users.
2. In on-site valve closing operations, situations such as damaged on-site valves or blocked valve wells that prevent closing are often encountered. At this time, it is necessary to mark the valve as abnormal. Once the valve is marked as abnormal, the system will automatically record the abnormal state of the valve, and automatically default the valve as abnormal in subsequent analysis, so that it will not participate in the analysis. Dock with the operation and maintenance system to form a closed-loop management of equipment abnormalities. Secondary valve closing searches can be performed multiple times, and corresponding water cut areas, water cut user information and other content can be generated based on the new search results.
3. In the event of an abnormal pipe burst accident, key parameters such as real-time collected (input) pipe breakage area, pipeline pressure, fluid flow rate and pipe diameter size are used, combined with fluid mechanics models (e.g., Bernoulli's equation or hydraulic transient analysis) to dynamically calculate the discharge flow, achieving accurate quantification of the leakage scale. At the same time, the system relies on the pipeline network topological relationship and real-time hydraulic model to automatically perform multi-dimensional impact analysis, including impact scope and impact degree.
4. To achieve seamless integration of user data and the pipeline network topological system, address standardization and intelligent spatial matching technologies are adopted. Perform structural processing on user text addresses, combine with the geocoding engine, and automatically convert unstructured address information into high-precision spatial coordinates. The coordinate system is associated with the pipeline network topology through multi-level address resolution, dynamic coordinate generation algorithms, pipeline network topology adaptive mapping and other methods.

搜集汇总

背景与挑战

背景概述

该数据集是一个针对城镇供水管网漏损处置的专业数据集，包含10778条记录，涵盖漏损事件编码、爆管位置、预测流量、压力变化、关阀方案和停水影响等25个字段。它专用于水务行业，通过智水孪生技术模拟漏损事故，支持分钟级应急决策，优化关阀策略和影响评估，提升供水系统安全性和韧性。