IJERT-EMS
IJERT-EMS

Wireless Sensor Network for Detecting Vibrations Before Landslides


Wireless Sensor Network for Detecting Vibrations Before Landslides
Authors : Pawan Hinge, Rohit Bawage, Pallavi Hinge
Publication Date: 01-10-2014

Authors

Author(s):  Pawan Hinge, Rohit Bawage, Pallavi Hinge

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol. 3 - Issue 10 (October - 2014)

e-ISSN:   2278-0181

Abstract

Wireless sensor network technology has provided the capability of developing large scale systems for real-time monitoring. The recent years, people were unknown for all kind of natural disaster and calamities. Natural calamities like Earth movers (earthquake), Heavy rainfall, Flood, Tsunami, Hurricane, Cyclone etc. People, who were suffered through, had myth of GOD’s anger. There were different methods found to understand the danger from natural calamities. In ancient time, methods were less accurate which leads to heavy damage to mankind. As the time pass by new methods have been developed with more accuracy which gives correct intimation about the dangers. The advanced systems developed are more durable and reliable to understand the danger of destructions. In this paper, we have proposed theory to monitor landslides which occurs all of sudden and destroys village and mankind. In this theory, we have used accelerometer sensors to detect the small vibrations right before the avalanche occurs. The sensor module detects the vibrations from the field and sends the data to monitoring station through GSM module. Hence the data is observed on monitoring system and the alarm goes on hit whenever data crosses the threshold. These modules are more durable and accurate to understand unknown danger to mankind and it also helps from heavy damage and destructions.

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     890
Similar-Paper

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book