Flood Detection and Prevention System

  • Mohamad Luqman Ahmad
  • Suhazlan Suhaimi
Keywords: Arduino Uno, Flood Detection, IoT

Abstract

Flood is the most damaging natural disaster that happens everywhere in the world. The government would spend billions of ringgits to tackle it by creating public info flood website. The website could only be accessed by the user with an internet connection. To tackle this the researcher, develop a Flood Detection and Prevention System to sends a flood SMS alert directly to the user without the use of an internet connection. FDAP hardware consists of one microcontroller to process input and output, three sensors to detect rain, water level, and temperatures, and One GSM module to send SMS to the user directly to their phone. Development of the system will use Rapid Prototyping that focused on creating multiple prototypes until a finished product is developed. The product then will be analyzed for its usage on flood detection and prevention of flooding. A fully functional system will be developed including an SMS feature and a Web Server. Test involved functionality and acceptance test which uses a simulation environment that is created using a physical model and replica of flood phenomenon. FDAP system developed will be useful to rural villages to detect flood earlier and prevent it from harming live or properties. The finding of this study is expected to gain informative data for future flood analysis and study.

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Author Biographies

Mohamad Luqman Ahmad

Computing Department, Faculty of Art, Computing and Creative Industry. Universiti Pendidikan Sultan Idris. Perak, Malaysia.

Suhazlan Suhaimi

Computing Department, Faculty of Art, Computing and Creative Industry. Universiti Pendidikan Sultan Idris. Perak, Malaysia.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
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2022-09-29
    Downloads : 490
How to Cite
[1]
M. L. Ahmad and S. Suhaimi, “Flood Detection and Prevention System”, International Journal of Recent Technology and Applied Science, vol. 4, no. 2, pp. 97-110, Sep. 2022.
Section
Articles

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