Integrating IoT for Enhanced Flood Monitoring: A Raspberry Pi Pico-based System with Real-time Data Visualization and Early Warning Alerts

This paper outlines the development of an innovative flood monitoring system using IoT technology, Raspberry Pi Pico, and various sensors to track conditions near reservoirs. Placed in flood-prone areas, the hardware unit integrates a Wi-Fi module (ESP8266) for data transmission, while sensors measure critical parameters such as level, temperature, humidity, and flow. The collected data is displayed on an LCD screen and simultaneously transmitted to an IoT web application. The system employs the ThingSpeak web application to securely store data in a private channel. In the occurrence of a flood, the web application promptly alerts relevant authorities and the public. This comprehensive flood monitoring system aims to significantly improve early warning capabilities, providing timely information to enhance disaster preparedness and response strategies. The integration of IoT technology with real-time data visualization contributes to effective flood management and mitigation efforts.