Design Analysis of an IoT based Early Flood Detection and Alerting System

This study aims to develop and implement an Internet of Things (IoT) based early flood detection system that utilizes weather API parameters to trigger SMS alerts. The system employs an ESP32 microcontroller, integrated with sensing circuitry to measure water levels, and a GSM module responsible for sending timely SMS alerts to both residents and emergency response units in the event of critical flooding. Additionally, the system incorporates a liquid crystal display (LCD) to indicate the current system status and provide real-time weather parameter readings from the digital temperature and humidity module 11 (DHT11). To facilitate efficient monitoring and data access, the system is integrated with the Blynk mobile app, which offers unrestricted access to real-time water level and weather parameter data for both the controller chief and the forecasting unit.