The Implementation of an IoT-Based Flood Alert System

Abstract

Floods are the most damaging natural disaster in this world. On the occasion of heavy flood, it can destroy the community and killed many lives. The government would spend billions of dollars to recover the affected area. It is crucial to develop a flood control system as a mechanism to reduce the flood risk. Providing a quick feedback on the occurrence of the flood is necessary for alerting resident to take early action such as evacuate quickly to a safer and higher place. As a solution, this paper propose a system that is not only able to detect the water level but also able to measure the rise speed of water level and alerted the resident. Waterfall model is adopted as the methodology in this project. Raspberry Pi is used to collect data from the water sensor and transmit the data to GSM module for sending an alert via SMS. The analysis will be done to show how the Raspberry Pi will be integrated with the smartphone to give an alert. The system is tested in an experiments consist of two different environment in order to ensure that the system is able to provide accurate and reliable data. The project is an IoT-based which significantly in line with the Industrial Revolution 4.0, supporting the infrastructure of Cyber-Physical System.

Authors and Affiliations

Wahidah Md. Shah, F. Arif, A. A. Shahrin, Aslinda Hassan

Keywords

Related Articles

Mode-Scheduling Steering Law of VSCMGs for Multi-Target Pointing and Agile Maneuver of a Spacecraft

This study proposes a method of selecting a set of gimbal angles in the final state and applies the method to the mode-scheduling steering law of variable-speed control moment gyros intended for multi-target pointing man...

Semantic Feature Based Arabic Opinion Mining Using Ontology

with the increase of opinionated reviews on the web, automatically analyzing and extracting knowledge from those reviews is very important. However, it is a challenging task to be done manually. Opinion mining is a text...

An Enhanced Malay Named Entity Recognition using Combination Approach for Crime Textual Data Analysis

Named Entity Recognition (NER) is one of the tasks in the information extraction. NER is used for extracting and classifying words or entities that belong to the proper noun category in text data such as person's name, l...

Smart Cities: A Survey on Security Concerns

A smart city is developed, deployed and maintained with the help of Internet of Things (IoT). The smart cities have become an emerging phenomena with rapid urban growth and boost in the field of information technology. H...

New Approach of Automatic Modulation Classification based on in Phase-Quadrature Diagram Combined with Artificial Neural Network

Automatic Modulation Classification (AMC) with intelligent system is an attracting area of research due to the development of SDR (Software Defined Radio). This paper proposes a new algorithm based on a combination of k-...

Download PDF file
  • EP ID EP417764
  • DOI 10.14569/IJACSA.2018.091187
  • Views 105
  • Downloads 0

How To Cite

Wahidah Md. Shah, F. Arif, A. A. Shahrin, Aslinda Hassan (2018). The Implementation of an IoT-Based Flood Alert System. International Journal of Advanced Computer Science & Applications, 9(11), 620-623. https://europub.co.uk/articles/-A-417764