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DOI: 10.14569/IJACSA.2024.0150613
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Advanced IoT Techniques for Detecting Water Leaks in Supply Networks with LoRaWAN

Author 1: Essouabni Mohammed
Author 2: El Mhamdi Jamal
Author 3: Jilbab Abdelilah

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 6, 2024.

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Abstract: Water leaks are a common problem when water flows through pipes, causing significant losses of this valuable resource. Our solution uses the Internet of Things (IoT) to address these losses. We employ LoRaWAN (Long Range Wide Area Network) technology to collect data from sensors, allowing real-time monitoring of pipelines and the detection of leaks and bursts as soon as they occur. Our goal is to contribute to the preservation of available water resources. We propose non-destructive ultrasonic level sensors to mitigate this issue, thereby avoiding water supply interruptions. These sensors are easy to install and maintain, with a cost that is affordable compared to other existing solutions. Our work aims to gather as much information as possible from water pipelines to ensure rapid leak detection. By using IoT and the LoRaWAN communication protocol, we automate the management of water supply facilities, enhancing efficiency and reducing wastage of this precious resource. We achieved satisfactory results using this solution on our test water pipe.

Keywords: Internet of things; LoRaWAN; leak detection; pipeline monitoring; ultrasonic liquid level sensor

Essouabni Mohammed, El Mhamdi Jamal and Jilbab Abdelilah. “Advanced IoT Techniques for Detecting Water Leaks in Supply Networks with LoRaWAN”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.6 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0150613

@article{Mohammed2024,
title = {Advanced IoT Techniques for Detecting Water Leaks in Supply Networks with LoRaWAN},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150613},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150613},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Essouabni Mohammed and El Mhamdi Jamal and Jilbab Abdelilah}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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