IoT-based Multimodal Borewell Monitoring
Abstract
Excessive groundwater extraction has led to a significant decline in water tables, highlighting the need for continuous monitoring. This study presents an Internet of Things (IoT)-based approach for real-time estimation of groundwater levels in borewells. In addition to water level measurements, parameters such as motor current and rainfall are tracked to evaluate their influence on groundwater dynamics. To assess practical feasibility, five monitoring nodes were deployed across a small educational campus in Hyderabad, India. Data collected over a two-month period indicate that the proposed low-cost system is both reliable and effective in real-world conditions, while also revealing interesting correlations between groundwater level variations and the monitored parameters.
Key Points
Objective
The aim is to present a reliable IoT-based system for real-time groundwater monitoring in borewells.
Methods
- Developed a low-cost IoT monitoring system for groundwater levels.
- Tracked additional parameters like motor current and rainfall.
- Deployed five monitoring nodes in an educational campus.
- Collected data over a two-month period for analysis.
Results
- The IoT system showed reliability for real-time groundwater monitoring.
- Data indicated significant correlations between groundwater levels and monitored parameters.