Flood Monitoring and Alert System Using IOT

By utilizing the Internet of Things (IoT) technology, our proposed flood monitoring and early warning system aims to address the limitations of conventional methods in reaching a wider community and providing timely information about impending disasters. Traditional systems often suffer from delays in information dissemination, hindering effective disaster response. In contrast, our system leverages IoT capabilities to enable real-time data transmission from sensors to smartphones, ensuring swift and widespread alerts. The core component of our system is the monitoring of water characteristics, particularly the water level in rivers, which is crucial for predicting and assessing flood events. Sensor data on water levels is collected in real time and transmitted to a centralized database for processing and analysis. Additionally, the collected data serves as the foundation for developing an ARIMA model, which utilizes historical patterns and trends to forecast future flood events. This predictive modeling capability enhances the system’s ability to provide early warnings and enables proactive disaster management strategies. The integration of IoT technology and the ARIMA model allows for more accurate and timely flood warnings, empowering authorities to take necessary actions, such as issuing evacuation alerts and allocating resources effectively. By minimizing the impact of floods through proactive measures, our system aims to safeguard lives and infrastructure. The cost-effective nature of our solution, combined with its ability to reach a wide area through internet connectivity, makes it suitable for both developed and developing regions facing the challenges of flood management.