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

Okeke Remigius Obinna; Ehikhamenle Mathew

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

( Vol-11,Issue-2,February 2024 ) OPEN ACCESS

Author(s):

Okeke Remigius Obinna, Ehikhamenle Mathew

Keywords:

IoT, mobile app, flood, alert system, ESP32

Abstract:

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.

Article Info:

Received: 03 Jan 2023, Receive in revised form: 08 Feb 2024, Accepted: 17 Feb 2024, Available online: 26 Feb 2024