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Advanced Integrated Wireless Sensor Networks for Real Time Monitoring and Detection of Disasters

Funded by:Ministry of Earth Sciences
Advanced Integrated Wireless Sensor Networks for Real Time Monitoring and Detection of Disasters

Patents: Network based system for predicting landslides and providing early warnings(Dr. Maneesha V. Ramesh)

  • The project Advancing Integrated Wireless Sensor Networks for Real-time Monitoring and Detection of Disasters is to develop a fully functional landslide monitoring and detection system using emerging wireless sensor network technology with enhanced geological DEPs at an active landslide site in the North – Eastern region of India. The landslide monitoring and detection system using emerging wireless sensor network technology will consist of embedded deep earth probes containing sensors such as moisture sensors, pore pressure sensors, geophones,GPS, tilt meters, inclinometers, and strain gauges. This research will also design, develop, and deploy the deep earth probe (DEP). The DEPs and the localization 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 project propose to architect a deep earth probe with the multiple kinds of sensors and a wireless transmitter; combining data elements at sensors so as to minimize the energy consumed in outdoor situations. A wired system may be impossible because of the difficulty in putting down wires in remote, inaccessible areas. Wireless is the only choice in such cases.
  • The key features required for the existing landslide detection system are the development of a low cost deep earth probe, and the development of a landslide probability predictive model and the development of an effective feedback system. Therefore in this proposal we propose to develop and deploy a fully functional landslide monitoring, and detection system using emerging wireless sensor network technology, consisting of embedded deep earth probes containing sensors such as moisture sensors, pore pressure sensors, tilt meters (inclinometers), and strain gauges. This research will cater to the development of a low cost design of a deep earth probe (DEP). The real-time geophysical sensor data will be verified and correlated with the data received from the localization systems. The various data will be entered into advanced 3-D slope stability modeling software to predict slope stability and movement. The complete system will be made capable to provide the probability of landslide and also to issue landslide warnings. The predictability of the whole system will be enhanced by integrating it with the modified and improved landslide laboratory set up, having the capability to model and obtain information about the real-deployment landslide conditions and to provide knowledge into the future behavior of the slope.
  • Upgrading the laboratory set-up will be directed towards providing quick, reliable and in-depth slope stability and hydrology analysis of the current situation at the deployment site in the North-East region of India. This will include establishing and automating the lab set-ups for quick experiment capabilities, adding hydrological and geological testing capabilities, adding a soil testing lab and using advanced mathematical modeling software for correlation and prediction of future behavior of the deployment site.

Objectives:

  • Install a Wireless Sensor Network with enhanced geological DEPs capable to early warn landslides and save human life at an active landslide site in the North-East region of India.
  • Design and develop  low cost deep earth probe (DEP)
  • DEP with the multiple kinds of sensors and a wireless transmitter; combining data elements at sensors to minimize the energy consumed in outdoor situations.
  • Develop a Decision Support System to issue real-time warnings
  • Upgrade the laboratory set-up to provide quick, reliable and in-depth slope stability and hydrology analysis of the current situation at the deployment site in the North-East region of India.
  • Better research about landslide phenomenon using data collected over a large area over 3 years.

Impact of the Project

  • The use of Wireless Sensor Networks (WSN) and the localization system to monitor landslide prone areas puts India at the very forefront of technological developments in remote monitoring.
  • Improves the role of India in developing ubiquitous computing applications for critical and emergency applications.
  • Enhances India’s first ever Landslide Laboratory Setup, incorporates many technological improvements to build a world-class facility.
  • The proposed project also advances the understanding of landslides in the international academic environment

Publications  :

    News    :  http://timesofindia.indiatimes.com/city/kolkata/Sensor-network-to-predict-landslide/articleshow/48077528.cms

Team Members:
Dr. Nirmala Vasudevan, Prof. K. A. U. Menon, Dr. Anand Ramachandan, Prof. Sethuraman Rao, Prof. Balaji Hariharan, Mr. Joshua Freeman,  Dr.Thambidurai, Dr. Shanmugavalli, Mr. Sangeeth K., Mr. Mukundan, Ms. Rekha P, Ms. Divya PMr. Nitin Kumar, Mr. Auditya, Mr. Deepak Brahmmanadan, Mr. Gosh, Mr. Geethakrishnan, Ms. Indukala, Ms. Geethu, Ms. Hemalatha, Mr. Rayudu, Mr.Brahmadath, Mr. Koushik Ramanadhan

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