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

Automating Anxiety Detection using Respiratory Signal Analysis
Automating Anxiety Detection using Respiratory Signal Analysis
Antimicrobial Activity of Different Plant Parts and Their Combinatorial Effects with Antibiotics
Antimicrobial Activity of Different Plant Parts and Their Combinatorial Effects with Antibiotics
Kochi Intervention for Tobacco Smoking Cessation and Smoke Free Homes – KIFT
Kochi Intervention for Tobacco Smoking Cessation and Smoke Free Homes – KIFT
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
Cloud based hybrid pattern recognition approach for fault diagnosis of motor driven rotating machines using motor current signature analysis
Virtual Laboratory Development  – India’s National Mission on Education Through ICT
Virtual Laboratory Development  – India’s National Mission on Education Through ICT
Admissions Apply Now