IoT smart-based flood detection system

Iszamli, Muhammad Ammar Bin (2024) IoT smart-based flood detection system. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

Floods are among the most severe natural disasters, causing enormous damage to infrastructure, agriculture, and human lives. Climate change is increasing the frequency and intensity of floods, necessitating the development of an effective early detection and warning system. This project proposes creating an IoT-based smart flood detection system that continuously monitors water levels in sensitive locations via a network of sensors. The device uses water level sensors to determine the distance to the water's surface and other environmental conditions. When the water level reaches a critical level, the system sends an alert and real-time messages to local authorities and residents via SMS, emails, and mobile apps. This immediate response capability allows for timely evacuation and disaster management, reducing the potential for loss of life and property damage. The system is designed to be scalable, allowing deployment in diverse environments, from urban areas to rural communities and agricultural regions. By providing accurate and timely flood warnings, this project aims to enhance flood preparedness, improve disaster response, and safeguard both people and assets.

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