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Dynamic least-cost optimisation of wastewater system remedial works requirements

机译:动态最小成本优化废水系统修复工程的要求

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In recent years, there has been increasing concern for wastewater system failure and identification of optimal set of remedial works requirements. So far, several methodologies have been developed and applied in asset management activities by various water companies worldwide, but often with limited success. In order to fill the gap, there are several research projects that have been undertaken in exploring various algorithms to optimise remedial works requirements, but mostly for drinking water supply systems, and very limited work has been carried out for the wastewater assets. Some of the major deficiencies of commonly used methods can be found in either one or more of the following aspects: inadequate representation of systems complexity, incorporation of a dynamic model into the decision-making loop, the choice of an appropriate optimisation technique and experience in applying that technique. This paper is oriented towards resolving these issues and discusses a new approach for the optimisation of wastewater systems remedial works requirements. It is proposed that the optimal problem search is performed by a global optimisation tool (with various random search algorithms) and the system performance is simulated by the hydrodynamic pipe network model. The work on assembling all required elements and the development of an appropriate interface protocols between the two tools, aimed to decode the potential remedial solutions into the pipe network model and to calculate the corresponding scenario costs, is currently underway.
机译:近年来,人们越来越关注废水系统的故障以及确定最佳的补救措施要求。迄今为止,全球各种自来水公司已经开发了几种方法并将其应用于资产管理活动,但通常效果有限。为了填补这一空白,已经进行了一些研究项目,以探索各种算法来优化补救工作的要求,但主要是针对饮用水供应系统,而对废水资产的工作非常有限。可以从以下一个或多个方面中找到一些常用方法的主要缺陷:系统复杂性的表示不足,将动态模型纳入决策循环,选择适当的优化技术和经验应用该技术。本文着眼于解决这些问题,并讨论了一种优化废水系统修复工作要求的新方法。建议通过全局优化工具(具有各种随机搜索算法)执行最优问题搜索,并通过流体动力管网模型对系统性能进行仿真。目前正在进行有关组装所有必需元素以及在两个工具之间开发适当接口协议的工作,旨在将潜在的补救解决方案解码为管网模型并计算相应的方案成本。

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