Sistema Inteligente Para Monitorear La Turbidez Y Cloro Residual En Una Planta de Tratamiento de Agua Potable

Water pollution is one of the main threats in recent times, as drinking water is becoming increasingly contaminated. Contaminated water can cause various diseases in humans and animals, which in turn affects the ecosystem's life cycle. If water pollution is detected early, appropriate measures can be taken and critical situations avoided. This research aims to determine how the application of a smart system optimizes the monitoring of turbidity and residual chlorine levels at the Alminares Imperial-Cañete drinking water treatment plant. Methodologically, the research was applied and explanatory, and it worked with a sample of 322 data records from the water quality monitoring system for human consumption at Emapa Cañete. To guarantee the supply of pure water, it was necessary to examine its quality in real time. Smart solutions for monitoring water pollution have become increasingly important thanks to innovations in sensors, communications, and Internet of Things technology. It is concluded that the intelligent system for monitoring turbidity and residual chlorine has improved the water quality at the treatment plant, since the developed model is low cost and by using high-speed Wi-Fi, the model can communicate from underwater, making this system self-sufficient and efficient.