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Pipe roughness identification of water distribution networks: The full turbulent case

机译:配水管的管道粗糙度识别:全湍流情况

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摘要

This paper proposes a technique to identify individual pipe roughness parameters in a water distribution network by means of the inversion of the steady-state hydraulic network equations. By enabling the reconstruction of these hydraulic friction parameters to be reliable, this technique improves the conventional model's accuracy and thereby promises to enhance model-based leakage detection and localization. As it is the case in so-called fire-flow tests, this methodology is founded on the premise to measure the pressure distributed at a subset of nodes in the network's graph while assuming the nodal consumption to be known. Beside of the proposed problem formulation, which is restricted to only allow turbulent flow in each of the network's pipes initially, developed algorithms are presented and evaluated using simulation examples.
机译:本文提出了一种通过稳态水力网络方程反演来识别配水网络中各个管道粗糙度参数的技术。通过使这些液压摩擦参数的重建可靠,该技术提高了常规模型的准确性,从而有望增强基于模型的泄漏检测和定位。在所谓的火流测试中就是这种情况,这种方法是在假设节点消耗已知的前提下,在测量网络图中节点的子集上分布的压力的前提下建立的。除了提出的问题描述(最初仅允许在每个网络管道中产生湍流)之外,还提供了开发的算法并使用仿真示例进行了评估。

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