Back close

Monitoring and Detection of Rainfall Induced Landslide using an Integrated Wireless Network System

Start Date: Tuesday, Mar 01,2011

Project Incharge:Dr. Maneesha Vinodini Ramesh
Co-Project Incharge:Dr. P. Venkat Rangan
Funded by:DST
Monitoring and Detection of Rainfall Induced Landslide using an Integrated Wireless Network System

The project proposes to enhance the technology used, looks to provide a more comprehensive system, and expand the knowledge of landslides and their detection. This project deals with enhancing and deploying integrated landslide monitoring and detection systems using the emerging wireless sensor network technology to predict rainfall induced landslides in landslide-prone areas of India. The deployed system will consist of embedded deep earth probes (DEP) containing sensors such as moisture sensor, pore pressure sensor, geophone, tilt meter, inclinometer, strain gauge, and a low cost GPS system.

This research will also develop a new design of a deep earth probe (DEP). The DEPs and the GPS system will collaboratively work together to develop a comprehensive landslide monitoring system. The data from these systems will be transmitted using heterogeneous wireless networks to the data analysis center. The complete system will provide the probability of landslide and also will be able to issue landslide warnings. The predictability of the whole system will be enhanced by integrating it with the enhanced landslide laboratory set up that has the capability to model and obtain information about the real-deployment landslide conditions and provide knowledge into the future behavior of the deployment area.

Related Projects

Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
Design and development of a scalable laboratory model of a decentralized  Battery Pack Management System
ChalaChitra Vaachana: AI based Intelligent Audio Description Platform
ChalaChitra Vaachana: AI based Intelligent Audio Description Platform
Theoretical and Empirical Investigations on the Interaction of Asymmetric Migration and Intrinsic Growth Rate on the Dynamics of Laboratory Metapopulations of Drosophila Melanogaster
Theoretical and Empirical Investigations on the Interaction of Asymmetric Migration and Intrinsic Growth Rate on the Dynamics of Laboratory Metapopulations of Drosophila Melanogaster
AI enabled Trajectory Analysis of Mid-size fishing vessels for Business and Safety
AI enabled Trajectory Analysis of Mid-size fishing vessels for Business and Safety
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Neural Network Modeling for Condition Monitoring of I. C. Engine using different composite flywheels
Admissions Apply Now