Year: 2025
Type: article
Abstract: : The rapid growth of the human population, combined with environmental degradation and climate changes, is turning clean water into an increasingly scarce resource. As a result, monitoring water quality, especially for drinking purposes, has become crucial. Traditional methods of laboratory testing are time-consuming, costly, and fail to provide real-time results. Moreover, systems based on Wireless Sensor Networks (WSN) technology often face challenges in areas like data security, energy management, and communication coverage. Critical sectors, such as flood warning systems, irrigation networks, power generation, and research, rely heavily on accurate flood-level data. Historically, water levels have been measured manually, but this approach is prone to inaccuracies due to difficulties in accessing the measurement sites and human error. To address this, data can be transmitted to a central server via a web interface for database management. Access to this data is secured by passwords, ensuring that only authorized users can view it. Additionally, customers are billed based on their water consumption, which is monitored through a flow sensor connected to an ESP32, providing measurements in liters per minute or other volumetric units.
Author: M. Mahendiran
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409798594