Year: 2025
Type: article
Abstract: Access to clean water remains a pressing issue, especially in rural areas where traditional water quality monitoring methods are expensive and inefficient. This proposal introduces a LoRa-based Internet of Things (IoT) system to address this challenge. By leveraging LoRa's long-range, low-power communication capabilities, the system monitors key water quality parameters, including pH, turbidity, temperature, and dissolved oxygen, in real time. The proposed system ensures continuous and cost-effective monitoring, enabling timely detection of water contamination and reducing health risks in underserved communities. Real-time data collection of water samples allows authorities and villagers to take immediate action when water quality deteriorates. To make this solution accessible, a dedicated website will be developed, displaying real-time water quality data in an easy-to-understand format. This platform will provide village residents with critical information, allowing them to make informed decisions about water usage. Additionally, the system will integrate with the Blynk application, ensuring a user-friendly and efficient interface for monitoring water quality remotely. This IoT-driven approach will help prevent health problems caused by contaminated water, significantly improving the quality of life in rural areas. Clean water access is an increasingly important issue, and traditional water quality monitoring methods have been inadequate, especially in remote areas of the world. To achieve this goal, this proposal provides a LoRa-based Internet of Things (IoT) system to accommodate such demands. Utilizing the long-range low-power communication features offered by LoRa, the system tracks vital water quality metrics (pH, turbidity, temperature, our proposed system would allow for low-cost, continuous monitoring and detection of water contamination so that we can ultimately facilitate timely access to drinking water and potentially save lives in under-resourced communities. oxygen in water) on a continuous basis.
Authors: Nachiyar S, Keerthi G, Thangamareeswari T, Aravind P
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410076873