IoT-Based Disaster Monitoring and Management System for Dams

Abstract

Dams hold great significance due to their role in generating hydroelectricity and facilitating irrigation. Over the years, numerous dams have been constructed in various locations, but their existence presents several risks. Consequently, it is crucial to establish an effective monitoring and management system for dams to maintain safe water levels and prevent man-made disasters. At present, dams in our state are managed manually, which can lead to errors and decision-making delays. This project aims to design and implement an IoT-based Disaster Monitoring and Management System for Dams . The system will monitor water levels in real-time for a group of dams, taking into account factors such as changes in water levels of connected rivers or lakes and excessive rainfall in the catchment area. The proposed an IoT-based Disaster Monitoring and Management System for Dams includes a mechatronics system that automatically adjusts shutter heights based on pre-calculated values. The system comprises sensor nodes, a smart controller, and a communication system, and operates in two modes: Autopilot and Manual data. The app-based IoT system will monitor and transmit real-time parameters related to dam conditions (gate position, water discharge, water level) and weather conditions (rainfall, temperature, humidity). Furthermore, the system will provide SMS alerts to local residents and SOS alerts to rescue operations during adverse weather conditions.