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

机译:水分配网络的管道粗糙度识别:完全湍流案例

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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. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文提出了一种通过稳态液压网络方程的反转来识别水分配网络中的单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是可靠的,该技术提高了传统的模型的准确性,从而有望提高基于模型的泄漏检测和定位。 正如所谓的火灾测试所示的情况下,该方法建立在前提下,以测量网络图中节点子集的压力,同时假设众所周知的节点消耗。 除了所提出的问题制构之外,其仅限于仅允许每个网络的管道中的湍流最初,使用模拟实施例呈现和评估开发的算法。 (c)2019 Elsevier Inc.保留所有权利。

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