供水系统管道故障的三维交互建模

Thikra Dawood, Emad Elwakil, Hector Mayol Novoa, José Fernando Gárate Delgado
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引用次数: 0

摘要

世界范围内管道破裂事件的增加对城市社区的饮用水安全构成了严重威胁。其后果可能包括水损失和服务中断、水质受损、基础设施中断和收入损失。因此,创建故障评估模型对于维持供水网络(wdn)和优化维护支出至关重要。本研究旨在建立水系统的评估框架,并为地下基础设施的可持续管理建立失效现象模型。秘鲁的El Pedregal市被选为研究方法的范例,因为该地区城市化的快速发展和经济活动的不断增长,使得水基础设施变得更加重要。该框架基于源自统计回归分析(RA)和3D示意图表示的建模技术的应用。首先,确定了导致wdn恶化的影响因素。其次,利用RA技术通过连续模拟操作和三维曲面图来评估和建模故障率。最后,结合残差分析方案,使用不同的性能指标对模型的有效性进行了研究。验证结果表明,模型具有较好的稳健性,R2为0.9767,平方和误差为0.0008。所开发的模型是一种预测工具,市政工程师可以使用它作为预防未来管道爆裂或泄漏的先发制人的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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3D Interactive Modeling of Pipe Failure in Water Supply Systems

The increased incidences of pipe breaks worldwide are posing a serious threat to potable water security in urban communities. The consequences may involve water loss and service interruptions, compromised water quality, infrastructure disruptions, and loss of revenue. Thus, creating failure assessment models is quite crucial to sustain water distribution networks (WDNs) and to optimize maintenance spending. This research paper aims at developing an assessment framework for water systems, as well as modeling the failure phenomena toward sustainable management of underground infrastructure. The city of El Pedregal in Peru was chosen to exemplify the methodology of the research due to the rapid pace of urbanization and growing economic activities in the region, which make water infrastructure even more critical. The framework is based on the application of modeling techniques stemming from statistical regression analysis (RA) and 3D schematic representation. First, the influential factors that lead to the deterioration of the WDNs are determined. Second, the RA technique is leveraged to evaluate and model the failure rate through consecutive simulation operations and a 3D surface plot. Finally, the efficacy of the model is investigated using different performance metrics, in conjunction with a residual analysis scheme. The validation results revealed the robustness of the model with R-squared (R2) and the sum of squares error (SSE) of 0.9767 and 0.0008, respectively. The developed model is a predictive tool that can be used by municipal engineers as a preemptive measure against future pipeline bursts or leaks.

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