IoT based river flood detection system using microcontroller

Mohd Hidir, Muhammad Hazman (2021) IoT based river flood detection system using microcontroller. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, natural disaster is quite common because of global warming. Incident such as flood will happen almost every year when there is a heavy raining season. This is always the case when the river is overflown by the rainwater. Since rain cannot be stopped, it is important to have a certain mechanism that is able to predict ocurence of flood. Therefore, the objective of this project is to develop a system that can detect early sign of flooding. This system must be able to warn user about the incoming flood that is likely to occur based on the river water level. In addition, the system must be able to store the data for easy access and future analysis. This flood detection system uses an NodeMCU as a microcontroller to control input and output of the system with a built-in Wi-Fi module to transmit the data wirelessly to a web application. “Thing Speak” web application is used to monitor and store all the data of the sensor. Ultrasonic sensor is used to measure the water level in the river and the rate of water rising. In addition, a cylinder tube is used as a stilling well in order to reduce the error during water level measurement. From the implementation, it is shown that the system works well to measure the water level and the data has been succesfully transfered to the cloud storage. A few output in the form of graphs are directly produced after the data has been transfered. Then, a Twitter status update based on the condition of the river will be performed in the specified twitter page. As a conclusion the system for detecting and predicting approching flood has been succefullly developed and tested.

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