Prototype Design and Implementation of Water Distribution Pipeline Leak Detection based on the Internet of Things (IoT)

DOI

10.2991/978-94-6463-732-8_4How to use a DOI?

Keywords

ADS1115; Pressure Sensor; Telegram Bot; Water Flow Sensor; Water Leak Detection

Abstract

Water leakage in water distribution networks is a significant issue that leads to problems such as potential value of wasted water, service delivery disruptions, and revenue losses. This paper aims to design a prototype system for detecting water pipe leaks using the Internet of Things (IoT) technology. The design used two types of sensors, pressure sensors and water flow sensors. It also incorporated the ADS1115 module as a converter, which was connected to a NodeMCU ESP32 microcontroller. The results of water pressure values and the amount of integrated discharge detection read by the sensor was sent to Thinger.io, and the leak notifications were sent through Telegram Bot at 5-min intervals. Based on the field-testing result with a scheme of three faucets, one of them placed at the end of the pipe design and sets at opening angles of 40°, 60°, and 90°, it was found that in an ideal system, when the water consumption was high, the pressure tended to be low, resulting in minimal leakage. Conversely, when the water consumption was low or there was a blockage in the piping system, the pressure increased, leading to more leakage. Reducing the pressure can decrease the flow rate, which in turn reduces water loss. The opening angle of faucets also affects the leakage level, as variations in the angle produce different pressures.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Siska Mayra Andini
AU  - Arif Harjanto
AU  - Nur Rani Alham
AU  - Happy Nugroho
PY  - 2025
DA  - 2025/06/07
TI  - Prototype Design and Implementation of Water Distribution Pipeline Leak Detection based on the Internet of Things (IoT)
BT  - Proceedings of the International Conference on Tropical Studies and Its Application (ICTROPS 2024)
PB  - Atlantis Press
SP  - 25
EP  - 36
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-732-8_4
DO  - 10.2991/978-94-6463-732-8_4
ID  - Andini2025
ER  -