IoT tank level measurement device for improving water distribution system operation
In the current scenario of increased water demand and climate change, the risks of water scarcity are greater, especially in the semi-arid region of Brazil, highlighting the need for efficient management of water resources. Faced with this challenge, this study developed a prototype for the automate...
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| Veröffentlicht in: | Earth science informatics Jg. 18; H. 2; S. 359 |
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| Hauptverfasser: | , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.06.2025
Springer Nature B.V |
| Schlagworte: | |
| ISSN: | 1865-0473, 1865-0481 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | In the current scenario of increased water demand and climate change, the risks of water scarcity are greater, especially in the semi-arid region of Brazil, highlighting the need for efficient management of water resources. Faced with this challenge, this study developed a prototype for the automated measurement of water volume in distribution reservoirs aiming to control losses and assist management in supply systems. The device integrates an ultrasonic sensor with a NodeMCU microcontroller, programmed in C + + using the Arduino Integrated Development Environment (IDE), to collect and transmit data to the IoT ThingSpeak platform. The prototype was installed in the reservoirs of the Water Supply System of the campus Sede of the Federal University of Campina Grande, Paraíba and data were collected between 24/09/2023 and 19/10/2023. The data analysis allowed us to calculate the minimum and maximum levels of the reservoirs to meet the demand and maintain the pressure in the network, and determine the useful volume. The device performed well, enabling the researchers to observe that manual management of the reservoirs resulted in irregular daily volume variations, dependence on the operator’s experience and availability, and water losses due to spillover. The volume in one of the reservoirs remained constant, negatively affecting water quality, while the other reservoir exhibited significant variations, with a mean daily demand of 91 m
3
. Low-pressure points were also identified in the network. The data collected by the sensor indicate the necessity of automated control to reduce water losses and maintain an efficient and sustainable water supply. |
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| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1865-0473 1865-0481 |
| DOI: | 10.1007/s12145-025-01869-y |