Development of Internet of things-based Early Flood Detection using ESP32S Microcontroller and thinger.io Platform

Abstract

Flooding is one of the highly destructive natural disasters in Malaysia and phenomenon happened almost every year particularly during the monsoon season. The lack of an early detection system implemented causes high lost in both properties and people’s lives. The development of this early flood detection system via IOT is designed with the objectives to help in providing the platform to monitor the early signs of flooding by providing public and authorities with information of wind speed, water level, rate of rain within the period of one week of a particular location. This system able to give warning via alarm system and mobile application notification when the parameters detected increasing up to a certain dangerous threshold. The data collected from the sensors are processed and transmitted via Wi-Fi using ESP32S and are displayed on the thinger.io dashboard on the web and mobile application. The data are also stored up to five years for research or prediction about the flooding in the future. This system proves to be very crucial in providing critical information in monitoring flooding potential in an area where a high probability of flooding can occur.