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

Computation of Single Beam Echo Sounder Signal for Underwater Objects Detection and Quantification

Underwater Acoustic methods have been extensively used to locate and identify marine objects. These applications include locating underwater vehicles, finding shipwrecks, imaging sediments and imaging bubble fields. Ocea...

A Semantic Learning Object (SLO)Web-Editor based on Web Ontology Language (OWL) using a New OWL2XSLO Approach

Today, we see a strong demand for real-time information, with a rapid growth of m-learning. We also see that there are many educational resources on the Internet. Learning objects (LOs) are designed as a means of reusing...

A Machine Learning Approach towards Detecting Dementia based on its Modifiable Risk Factors

Dementia is considered one of the greatest global health and social care challenges in the 21st century. Fortunately, dementia can be delayed or possibly prevented by changes in lifestyle as dictated through known modifi...

Stress Detection of the Employees Working in Software Houses using Fuzzy Inference

In the modern era where the use of computer systems in software houses is mandatory and in various organizations has increased, it has given rise to the level of stress of employees working for hours at the system as wel...

An Investigation into the Suitability of k-Nearest Neighbour (k-NN) for Software Effort Estimation

Software effort estimation is an increasingly significant field, due to the overwhelming role of software in today’s global market. Effort estimation involves forecasting the effort in person-months or hours required for...

Download PDF file
  • EP ID EP417764
  • DOI 10.14569/IJACSA.2018.091187
  • Views 108
  • 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