改善配水管网系统结构中实时压力控制的 3D 标准

Water Supply Pub Date : 2024-07-22 DOI:10.2166/ws.2024.166
Saeid Mohammadzade Negharchi, R. Shafaghat
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引用次数: 0

摘要

实时控制(RTC)方法已经开发了十多年,用于在配水管网(WDN)中使用压力控制阀调节服务压力和减少泄漏。本研究探讨了农村 WDN 面向现场控制的控制节点选择框架和 RTC 系统架构。案例研究地区独特的拓扑结构、狭小的面积和高压种类增加了对 RTC 系统的考虑。根据网络水力模拟的特性方法,开发了一套计算机代码。该代码可以分析通过倾斜管道的不稳定流,实施基于压力的分析,并根据目标节点调节控制阀。在选择控制节点时,将减少泄漏、减少压力波动和防止气蚀作为三个标准和约束条件。结果发现,最佳策略可将实际水量损失从 25% 降低到 10%。此外,还对遥感的关键参数进行了评估,以尽量减少传感器的数量,从而通过人工神经网络(ANN)方法进一步简化控制算法和 RTC 系统结构。引入了收敛率高达 99% 的控制功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D criteria to improve real-time pressure control in water distribution network system architecture
Real-time control (RTC) methods have been developed for over one decade to regulate service pressure and reduce leakage using pressure control valves in water distribution networks (WDN). The present study investigates control node selection frameworks and RTC system architecture for the field-oriented control of a rural WDN. The unique topology of the case-study area, the small size of the area, and high-pressure variety increased the considerations of the RTC system. A computer code was developed based on the method of characteristics for the hydraulic simulation of the network. The code could analyze unsteady flows through sloped pipes, implement pressure-based analysis, and regulate control valves based on the target node. Leakage reduction, pressure fluctuation reduction, and cavitation prevention were used as three criteria and constraints in the selection of control nodes. It was found that the optimal strategy would reduce the real water loss from 25 to 10%. Furthermore, key parameters in remote sensing were evaluated to minimize the number of sensors in order to further simplify the control algorithm and RTC system architecture through an artificial neural network (ANN) approach. The control function with a convergence rate of 99% was introduced.
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