Data analysis for flood monitoring using Machine Learning and Internet of Things

Document Type : Primary Research paper

Authors

1 Assistant Professor, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India

2 UG Scholar,Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India

Abstract

Flood is one of the most common natural disasters that are causing damages to
life and the country’s economy. This study focuses on Flood monitoring using Data
Analysis &Internet of Things (IoT). This design incorporates certain important elements
like Water level flowing in the dam, humidity, and the water flow based on the rainfall
rate. These parameters are closely monitored for predicting and releasing water from the
dam at a moderate rate in advance to avoid flood issues faced by the public who are living
near the dams. The sensor aggregates and collects the data from various sources that are
controlled by the Wireless Sensor Network (WSN) from the controller. The sensor
information can be analyzed and the system creates an alert to the public community
through the siren and alert message using a smart communication device. The design of
the automated system is to be optimized for the control of the shutter position. The failure
of the opening and closing of gates has resulted in water scarcity and its wastage. Manual
gate results in human errors. Hence this system is controlled by the machine learning
mechanism to follow the servo motors and the electronic control to monitor the flow of
water according to the water level at the given time. Thereafter, the data stored in the cloud
is further used for the prediction. The system can be implemented through mobile/web
applications.

Keywords

Int. J. of Aquatic Science
Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1385-1393

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