Model of a Smart Anti Flooding System

Flooding poses significant challenges in urban and rural areas, leading to extensive damage and disruption. This paper presents the design and implementation of a smart anti-flooding system that utilizes advanced sensor technologies and control algorithms to manage water levels autonomously. The system integrates temperature and humidity sensors, a Pulse Width Modulation (PWM) controlled fan, and a pump to maintain optimal environmental conditions and prevent flooding. The methodology includes calibrating sensors, constructing the pump and motor circuits, and programming a PIC 16F877A microcontroller to manage the PWM of the motor and the pump's operational status. Extensive testing was conducted in a real-world setting at the EDU cafeteria, an open compound restaurant, to validate the system's effectiveness. Results indicate that the system accurately monitors environmental conditions and adjusts the fan and pump operations to prevent excessive water accumulation. The sensors demonstrated high accuracy with minimal error margins, and the system effectively managed different scenarios, including varying temperature and humidity levels. This research contributes a novel solution to flood management by providing a reliable, automated system that minimizes manual intervention and enhances safety. The smart anti-flooding system's adaptability to different environments and its efficient resource management highlight its potential for widespread application in flood-prone areas.