Water resource management based on wireless virtualization in wastewater reclamation and utilization in dryland botanical garden

Guanyu Chen
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Abstract

Abstract The research on the management and distribution of renewable water resources mostly adopts the method of combining the intelligent optimization algorithm and the target planning model. In this paper, four water distribution users are used as categories, and the problem of renewable water resources allocation is transformed into a classification problem, which is included in the category of wireless virtualization processing problems, and wireless virtualization is selected to support the allocation of renewable water resources. Experiments show that the water shortage of the water distribution scheme obtained by the method in this paper is lower than that of the optimal water distribution scheme of the traditional intelligent optimization algorithm. It can also be seen from the water distribution cost and water shortage of a single user that the water distribution effect of the method in this paper is better than that of the traditional intelligent optimization algorithm (P<0.05). It shows that the research on the management and distribution method of renewable water resources based on wireless virtualization not only provides new ideas for dealing with configuration problems but also has important significance for alleviating the shortage of water resources in our country and the management and utilization of renewable water resources.
基于无线虚拟化的旱地植物园废水回收利用水资源管理
摘要再生水资源管理与分配的研究多采用智能优化算法与目标规划模型相结合的方法。本文以4个配水用户为分类,将可再生水资源分配问题转化为分类问题,纳入无线虚拟化处理问题范畴,选择无线虚拟化支持可再生水资源的分配。实验表明,本文方法得到的配水方案缺水率低于传统智能优化算法的最优配水方案缺水率。从配水成本和单用户缺水情况也可以看出,本文方法的配水效果优于传统的智能优化算法(P<0.05)。研究基于无线虚拟化的可再生水资源管理与分配方法,不仅为解决配置问题提供了新的思路,而且对缓解我国水资源短缺和可再生水资源的管理与利用具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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