Water quality sensors for smart cities

A. Mickelson, Daniel Tsvankin
{"title":"Water quality sensors for smart cities","authors":"A. Mickelson, Daniel Tsvankin","doi":"10.1145/3128128.3129386","DOIUrl":null,"url":null,"abstract":"The use of water quality sensors for the prediction of the coupling of urban food, energy and water (FEW) subsystems is discussed. A high level model of FEW coupling is presented. The role of fine grained sensing in determination of system coupling is introduced. An archetypical water quality sensing element is demonstrated and calibrated. A physical model for an environmentally stressed water system is presented. Sensor calibration data is applied to the problem of using an array of a water quality sensors for determining system stressors and thereby FEW couplings. The requirements for resource management derived from smart city control system data and FEW system coupling is discussed.","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2017 International Conference on Smart Digital Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3128128.3129386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The use of water quality sensors for the prediction of the coupling of urban food, energy and water (FEW) subsystems is discussed. A high level model of FEW coupling is presented. The role of fine grained sensing in determination of system coupling is introduced. An archetypical water quality sensing element is demonstrated and calibrated. A physical model for an environmentally stressed water system is presented. Sensor calibration data is applied to the problem of using an array of a water quality sensors for determining system stressors and thereby FEW couplings. The requirements for resource management derived from smart city control system data and FEW system coupling is discussed.
智能城市的水质传感器
讨论了水质传感器在城市食物、能源和水(FEW)子系统耦合预测中的应用。提出了一个高级的FEW耦合模型。介绍了细粒度感知在确定系统耦合中的作用。演示并校准了一个典型的水质传感元件。提出了一个环境压力水系统的物理模型。传感器校准数据应用于使用水质传感器阵列来确定系统压力源的问题,从而减少耦合。讨论了智慧城市控制系统数据和FEW系统耦合对资源管理的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信