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Multi-objective Sensor Placements with Improved Water Quality Models in a Network with Multiple Junctions

机译:具有多个连接点的网络中改进的水质模型的多目标传感器展示

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Concerns about the security of water distribution systems have lead to increased interest in sensor placement in water distribution systems. Due to the cost of both placing and maintaining these sensors, the number of sensors used must be limited. These constraints make the sensor deployment locations crucial in a water monitoring system. Many studies, based on differing algorithms and objective functions, have sought to determine ways to optimize sensor location. These studies have largely relied on current water quality models that assume perfect mixing at pipe junctions. However, it has been shown that using a water quality model that accounts for imperfect mixing (AZRED) at pipe intersections produces outcomes that differ from those produced by studies that assume perfect mixing and, consequently produces a different scheme for optimal sensor placement. The current work uses a multiobjective approach that relies on the nondominated, sorted algorithm II. The study seeks, first, to contrast the use of the AZRED water-quality model to the use of water quality models that assume perfect mixing, and, second, to propose a more comprehensive approach to sensor placement. By using a simpler objective of optimizing for complete sensor coverage, the study will expand on pervious work that made this comparison. An example network is analyzed using both AZRED and EPANET, and the results are compared.
机译:对水分配系统安全性的担忧导致了对水分配系统中传感器放置的兴趣增加。由于放置和维护这些传感器的成本,所用传感器的数量必须限制。这些约束使传感器部署位置在水监测系统中至关重要。许多基于不同算法和客观函数的研究都试图确定优化传感器位置的方法。这些研究在很大程度上依赖于当前水质模型,这些模型在管道连接处具有完美混合。然而,已经表明,使用用于在管道交叉路口的不完美混合(AZRED)的水质模型产生不同于通过研究产生的结果的结果,因此产生了用于最佳传感器放置的不同方案。目前的工作采用了一种依赖于NondoMinated,Sorted算法II的多目标方法。该研究首先旨在对比使用叠氮水质模型来利用水质模型,呈现完善混合,而且,第二,提出更全面的传感器展示方法。通过使用更简单的目标优化完整的传感器覆盖范围,该研究将扩大对比较的透水工作。使用AZRED和EPANET分析示例网络,并比较结果。

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