Chapter
May 31, 2018
World Environmental and Water Resources Congress 2018

Using a Micro-Test-Bed Water Network to Investigate Smart Meter Data Connections to Hydraulic Models

Publication: World Environmental and Water Resources Congress 2018: Hydraulics and Waterways, Water Distribution Systems Analysis, and Smart Water

ABSTRACT

To date, as information and communication technology enters into water distribution field, smart water system gains potential of worldwide application. Smart water system enables to collect, organize, and analyze real-time data and produce new data, which provides engineers and consumers with real-time water information. In this project, a micro-smart water test bed was established to realize the real-time data acquisition by using flow sensor and Arduino UNO, to achieve data organization by employing observation data model (ODM) database and to accomplish data analysis by using R-studio. Also, the performance of micro-smart water test bed was evaluated by comparing relative errors between the experimental measurements and modeling outputs. System performance analysis shows reasonable flow sensor has reasonable sensitivity to system operation and testing data evaluation illustrates experimental measurements fit modeling outputs reliably. This real-time smart water system project performed as expected. Finally, the future recommendation for this project was made in the last section.

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REFRENCES

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Go to World Environmental and Water Resources Congress 2018
World Environmental and Water Resources Congress 2018: Hydraulics and Waterways, Water Distribution Systems Analysis, and Smart Water
Pages: 342 - 350
Editor: Sri Kamojjala, Las Vegas Valley Water District
ISBN (Online): 978-0-7844-8142-4

History

Published online: May 31, 2018

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Authors

Affiliations

Urban Water Group, College of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, U.S. Email: [email protected]
Seungyub Lee [email protected]
Urban Water Group, College of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, U.S. Email: [email protected]
Sangmin Shin [email protected]
Urban Water Group, College of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, U.S. Email: [email protected]
Steven Burian [email protected]
Urban Water Group, College of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, U.S. (corresponding author). Email: [email protected]

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