智能分级供水管网实时监测示范:一个机构案例研究

IF 2.1 4区 环境科学与生态学 Q2 ENGINEERING, CIVIL
Shobhana Singh, Manoj Chaudhary, Kim Sørensen
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引用次数: 0

摘要

供水和水质的实时信息是水资源规划和管理、基础设施和科学研究可持续发展的重要资产。在这个方向上,智能水基础设施的创新概念正在推进。本文报告了一个在印度焦特布尔印度理工学院校园示范“智能分级供水网”的案例研究。该论文介绍了通过部署传感器和建立物联网实时监控平台,将向~ 5000名居民供应饮用水的~ 13公里长的配水网络转变为智能供水网的情况。从传感器节点收集的水流和压力数据集进行分析,以了解校园学生宿舍独特的特征日用水概况。数据显示,学生宿舍在工作日的消费情况与众不同,最大峰值消费量为16.38 m3/h。监测重要的质量参数,如氯、pH值和温度,显示可接受的水平,从而确保符合安全标准。本文的目的是提供来自现实世界案例的见解,并缩小一般意识与智能水网在分级供水服务可持续管理方面的潜力之间的知识差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demonstration of real-time monitoring in smart graded-water supply grid: an institutional case study
Abstract Real-time information on water supply and quality is a crucial asset for planning and managing water resources, infrastructure, and scientific research for sustainable development. In this direction, the innovative concept of smart water infrastructure is progressing. The present paper reports a case study on the demonstration of a `smart graded-water supply grid' on the campus of the Indian Institute of Technology Jodhpur, India. The paper describes the transformation of ∼13 km long water distribution network that supplies drinking water to ∼5,000 inhabitants into smart supply grid by deploying sensors and establishing an IoT-enabled real-time monitoring platform. The data sets of water flow and pressure collected from sensor nodes are analyzed to understand the characteristic diurnal water usage profiles unique to student hostels on the campus. The data show a distinctive consumption profile of student hostels over the weekdays with a maximum peak consumption of 16.38 m3/h. Monitoring of vital quality parameters such as chlorine, pH, and temperature demonstrate acceptable levels thereby ensuring compliance with safety standards. The purpose of the paper is to provide insights from a real-world case and close the knowledge gap between general awareness and the potential of smart water grid in sustainable management of graded-water services.
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来源期刊
CiteScore
4.10
自引率
21.10%
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审稿时长
20 weeks
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