Water Quality Sensors for Smart Cities

被引：0

作者：

Mickelson, Alan ^{[1
]}

Tsvankin, Daniel ^{[2
]}

机构：

[1] Univ Colorado, 1111 Engn Dr, Boulder, CO 80309 USA

[2] Dept Mech Engn, 1111 Engn Dr, Boulder, CO 80309 USA

来源：

2017 INTERNATIONAL CONFERENCE ON SMART DIGITAL ENVIRONMENT (ICSDE'17) | 2017年

关键词：

computers; sensors; monitoring; modeling; ENERGY; FOOD; PHOSPHORUS; NITROGEN; NEXUS;

D O I：

10.1145/3128128.3129386

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：232 / 239

页数：8

共 43 条

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