IoT Based Smart Water Distribution and Leakage Detection Network

Authors

  • G Balamurugan UG/B.E- Mechatronics, Paavai Engineering College, Namakkal, Tamilnadu, India. Author
  • V M Harish UG/B.E- Mechatronics, Paavai Engineering College, Namakkal, Tamilnadu, India. Author
  • G Giridharan UG/B.E- Mechatronics, Paavai Engineering College, Namakkal, Tamilnadu, India. Author
  • C Vibin Stalin Assistant Professor / Department of Mechatronics Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India. Author
  • Dr. D R P Rajarathnam Professor & Head / Department of Mechatronics Engineering, Paavai Engineering College, Namakkal, Tamilnadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0583

Keywords:

IoT (Internet of Things), Smart Water Distribution, Leakage Detection, Sensor Network, Automated Valve Control, Water Loss Minimization

Abstract

An IoT-based smart water distribution and leakage detection system employs a network of sensors to continuously monitor water flow and detect leakages in real-time. These sensors identify anomalies indicating leaks or abnormal usage, enabling early detection and precise localization. Data is wirelessly transmitted to a centralized platform where advanced sensors and algorithms analyze the information to predict leaks and optimize water distribution. The system generates instant alerts to operators, supporting timely maintenance actions that reduce water wastage, prevent infrastructure damage, and promote sustainable water management. Integration of automated valve control mechanisms further enhances operational efficiency. This approach improves resource conservation, lowers operational costs, and supports environmental sustainability by minimizing water loss across distribution networks. The system is designed to be scalable and suitable for deployment in both urban and rural settings.

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Published

2025-10-24

How to Cite

IoT Based Smart Water Distribution and Leakage Detection Network. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(10), 3992-3995. https://doi.org/10.47392/IRJAEH.2025.0583

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