{"title":"智能城市的水质传感器","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":"{\"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}","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}
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.
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