Optimized Monitoring System for Water Analsys

This work presents an advanced water quality monitoring system designed to detect the presence of solid pollutants in water tanks and accurately identify their source location. The proposed solution relies on an optimized sensor network, strategically positioned to maximize detection efficiency, combined with a robust mathematical model describing fluid dynamics and pollutant dispersion. The adopted approach leverages shallow-water equations, widely used in free-surface flow studies, to simulate hydrodynamic behavior within the tank. By integrating an optimization algorithm, the system automatically determines the optimal sensor configuration, balancing two key objectives: maximizing detection capability while minimizing the number of required sensors, leading to significant cost savings and simplified implementation. One of the most innovative aspects of this methodology is its ability to provide real-Time data, enabling prompt intervention in case of contamination. This makes it particularly suitable for applications in water treatment plants, industrial storage systems, and environmental monitoring, where rapid response is critical to preventing ecological or health-related damage. By combining mathematical modeling, optimization techniques, and sensing technologies, this research provides a solid methodological framework to address one of the most pressing challenges in water resource management: ensuring clean and safe water through intelligent and proactive monitoring.