High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

IOT Based Landslide Prediction System

Author(s):

Mr. Shubham Sakharam Powar , KITs College of Engineering, Kolhapur; Ms. Sayali Sanjeev Torase, KITs College of Engineering, Kolhapur; Ms. Himani Vidyadhar Sohani, KITs College of Engineering, Kolhapur; Mr. Ajay Manohar Pol, KITs College of Engineering, Kolhapur

Keywords:

Solar Panel, Landslide, Wireless Sensor Network, Webpage, NRF Module, WiFi Module

Abstract

A Landslide is a geological phenomenon that includes a wide range of ground movements. Landslide hazards have caused loss of human lives, failure of structures, damage to agricultural lands and the natural environment. To overcome this, monitoring is essential to predict the behavior of landslide and forecasting which storms can trigger large number of landslides. This can help saving number of lives and prevent loss of life and property as people will be aware of the upcoming danger and can take necessary steps for safety. The purpose of this system is developing and testing of landslide early warning system. The early warning system uses sensors network for monitoring factors like rainfall, soil moisture, ground movements etc. A microcontroller ATMEGA328 is used to process the input signal and activate the alarm. Network of IOT is used in the project that helps updating the information about landslide on the internet. Webpage is developed to analyze the instantaneous data. Wireless landslide monitoring systems collect environmental data from the slope and transfer it to connected computer systems. It monitors and detects the landslide and alert people from landslide hazards.

Other Details

Paper ID: IJSRDV7I120545
Published in: Volume : 7, Issue : 12
Publication Date: 01/03/2020
Page(s): 508-510

Article Preview

Download Article