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Research on contaminant sources identification of uncertainty water demand using genetic algorithm

机译：遗传算法污染源识别不确定性水需求的研究

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Urban water supply network is easily affected by intentional or occasional chemical and biological pollution, which threatens the health of consumers. In recent years, drinking water contamination happens occasionally, which seriously harms social stabilization and safety. Placing sensors in water supply pipes can monitor water quality in real time, which may prevent contamination accidents. However, how to reversely locate pollution sources through the detecting information from water quality sensors is a challengeable issue. Its difficulties lie in that limited sensors, massive pipe network nodes and dynamic water demand of users lead to the uncertainty, large-scale and dynamism of this optimization problem. This paper mainly studies the uncertainty problem in contaminant sources identification (CSI). The previous study of CSI supposes that hydraulic output (e.g., water demand) is known. Whereas, the inherent variability of urban water consumption brings an uncertain problem that water demand presents volatility. In this paper, the water demand of water supply network nodes simulated by Gaussian model is stochastic, and then being used to solve the problem of CSI, simulation-optimization method finds the minimum target of CSI and concentration which meet the simulation value and detected value of sensors. This paper proposes an improved genetic algorithm to solve the CSI problem under uncertainty water demand and comparative experiments are placed on two water distribution networks of different sizes.
机译：城市供水网络很容易受到故意或偶尔化学和生物污染的影响，这威胁着消费者的健康。近年来，偶尔会发生饮用水污染，这严重危害了社会稳定和安全。将传感器放置在供水管中可以实时监测水质，这可能会阻止污染事故。然而，如何通过水质传感器的检测信息来逆转污染源是一个有挑战性的问题。它的困难位于该有限的传感器，大量管道网络节点和用户的动态水需求导致这种优化问题的不确定性，大规模和活力。本文主要研究污染源识别（CSI）中的不确定性问题。先前对CSI的研究假设是已知的液压输出（例如，水需求）。虽然，城市用水量的固有变化带来了一种不确定的问题，即水需求呈现波动。在本文中，高斯模型模拟供水网络节点的需水需求是随机性的，然后用于解决CSI的问题，仿真优化方法发现符合模拟值和检测值的CSI和浓度的最小目标传感器。本文提出了一种改进的遗传算法来解决不确定性水需求下的CSI问题，并将比较实验放在不同尺寸的两种水分配网络上。

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