以农场为目标的分布式水体互联咨询框架

J. Sunil, K. ManasaSai, R. V. Prasad, H. Venkataraman
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引用次数: 1

摘要

在诸如印度、印度尼西亚等东南亚发展中国家的乡村、城镇和城市中,水资源分配不均的情况有若干次。分布式水体之间的相互连接,使水资源从一个水源过剩到另一个缺水的农业农场一直是一个挑战。在已经连接的管道铺设机制中规划和实施高效铺设是昂贵且耗时的。在这方面,本文提出了一种名为Zobhana Jala Sambaddha (ZJS)的新型咨询框架,以解决上述问题,并提供与人工管道铺设机制相比的自动化解决方案。建议的咨询框架ZJS到达一个连接多个源点和目标点的解决方案空间。考虑不同的参数,如:低成本、更短的距离、低泵送功率、地理限制等,推导出任意源点和目标点之间的多路径解决方案。一种基于图像处理的数据抽象多约束优化框架提供了一种咨询解决方案。从在Sri City中运行的不同测试用例中可以观察到,所提出的框架更加通用和自动化;无需耗时的管道铺设测量;事实上,减少了高达36%的管道铺设基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advisory Framework to Interconnect Distributed Water Bodies Targeting Agriculture Farms
There has been several instances of uneven distribution of water resources in villages, towns and cities of developing countries of South-east Asia, such as India, Indonesia, etc. Interconnection of distributed water bodies such that excess water from one water source to other deficit source of a stressed agriculture farm is always a challenge. Planning and implementation of efficient laying in already connected pipeline laid mechanisms are costly and time consuming. In this regard, this paper proposes a novel advisory framework named as Zobhana Jala Sambaddha (ZJS) to address the above problems and provide an automated solution as compared to manual pipe laying mechanisms. The proposed advisory Framework ZJS arrives at a solution space that connects multiple source and destination points. This multipath solution between any source and destination points are derived considering different parameters of interest such as: low-cost, less distance, low pumping power, geographical constraints etc. An image processing based data abstraction with multi constrained optimization framework provides an advisory solution. It is observed from different test case runs carried out in Sri City, that the proposed framework is more generic and automated; eliminates the need for time consuming surveys for pipe-laying; and in fact, reduces pipe-laying infrastructure by upto 36%.
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