YUPeng-peng,WUZhen-liang,LIQin,et al.Burst Diagnosis of Water Distribution Networks Driven by Data and Model Coupling[J].China Water & Wastewater,2025,41(11):77-84.
数据与模型耦合驱动的供水管网爆管诊断研究
- Title:
- Burst Diagnosis of Water Distribution Networks Driven by Data and Model Coupling
- 摘要:
- 供水管网的水力状态呈现随机性与波动性，严重影响爆管诊断方法的性能。针对上述问题，建立了一种基于监测数据与模型耦合驱动的供水管网爆管诊断方法。通过对监测点自身水头波动、水源点到监测点水头损失的分析，提取水力状态变化的综合特征。采用管网模型进行爆管模拟，基于监测数据和爆管模拟数据的变化特征耦合分析，实现爆管事件诊断。以某管网实际爆管事件作为案例，分析了爆管诊断的详细过程。结果表明，该方法能够快速响应识别爆管状态，并对爆管位置进行有效定位，对实际管网监测数据具有较好的适应性。
- Abstract:
- The hydraulic state of water distribution networks (WDNs) shows randomness and volatility, which seriously affects the performance of the pipe burst diagnosis method. In response to the above problems, a diagnosis method for pipe burst in WDNs based on the coupling of monitoring data and hydraulic models was established. The comprehensive characteristics of the changes in the hydraulic state were extracted through the analysis of the fluctuation of the water head at the monitoring point itself and the water head loss from the water source to the monitoring point. Pipe burst simulation was carried out by using the pipe network model, and the diagnosis of pipe burst events was achieved based on the coupled analysis of the characteristics of monitoring data and pipe burst simulation data. The detailed process of pipe burst diagnosis was analyzed exemplified by an actual pipe burst incident in a WDN. This method is capable of rapidly responding to and identifying the status of a burst pipe, accurately locating the burst position, and demonstrating excellent adaptability to actual pipe network monitoring data.
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