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Optimal Design of Sensor Placement in Water Distribution Networks

机译:给水管网传感器布置的优化设计

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摘要

In this study we provide a methodology for the optimal design of water sensor placement in water distribution networks. The optimization algorithm used is based on a simulation-optimization and a single-objective function approach which incorporates multiple factors used in the design of the system. In this sense the proposed model mimics a multiobjective approach and yields the final design without explicitly specifying a preference among the multiple objectives of the problem. A reliability constraint concept is also introduced into the optimization model such that the minimum number of sensors and their optimal placement can be identified in order to satisfy a prespecified reliability criterion for the network. Progressive genetic algorithm approach is used for the solution of the model. The algorithm works on a subset of the complete set of junctions present in the system and the final solution is obtained through the evolution of subdomain sets. The proposed algorithm is applied to the two test networks to assess the selected design. The results of the proposed solution are discussed comparatively with the outcome of other solutions that were submitted to a water distribution systems analysis symposium. These comparisons indicate that the algorithm proposed here is an effective approach in solving this problem.
机译:在这项研究中,我们提供了一种用于水分配网络中水传感器布置的最佳设计的方法。所使用的优化算法基于仿真优化和单目标函数方法,该方法结合了系统设计中使用的多个因素。从这个意义上说,所提出的模型模仿了一种多目标方法,并产生了最终设计,而没有明确指出问题的多个目标之间的偏好。可靠性约束概念也被引入到优化模型中,以便可以识别最少数量的传感器及其最佳位置,从而满足网络的预定可靠性标准。渐进遗传算法方法用于模型的求解。该算法在系统中存在的一组完整交集的子集上工作,并且最终解决方案是通过子域集的演化获得的。该算法被应用于两个测试网络,以评估所选设计。拟议解决方案的结果与提交给水分配系统分析研讨会的其他解决方案的结果进行了比较讨论。这些比较表明,本文提出的算法是解决此问题的有效方法。

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