IoT-Based Dam Automation and Monitoring System

– This paper addresses the gap in real-time dam water level and flow rate monitoring. It enables remote monitoring of water parameters which is important for energy, irrigation, and flood control. Often, traditional monitoring systems for dams lack automation and real-time data acquisition, and there is no information exchange between various dams in actual time. In order to fill these gaps, the current work proposes an IoT based automation and monitoring system using ESP32 microcontrollers, ultrasonic distance measuring sensors, and wireless communication modules. The system under consideration measures the water level continuously and makes asociates the data available on a mobile application and a local display. This data is also relayed over Wi-Fi available in the ESP32 module. Related works shows the application of IoT and ML techniques in increasing the responsiveness and reliability of dam infrastructure. The focus of the measures in this project is on continuous monitoring, operational effectiveness, improving disaster management, and system agility. This work is a prototype model. The results from the experiment are confirmed to supply precise measurements on the water level within the reservoir and operational gates in good time. All in all, the project is intended to use much less resources while expanding the supporting structure for future smart water management initiatives within the field of environmental engineering.