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A Sensor Network System for Landslide Detection, Monitoring, & Prediction of Forewarning Time

Amrutha Joshy, S. Senthilkumar


Natural hazards like earthquakes, landslides, tsunami etc. cannot stop. So the only way to reduce the possible damages is the prediction mechanism. The key issues to reduce the possible damages are an accountable disaster prediction and the appropriate forewarned time is. The stability of a slope changed from a stable to an unstable condition is known as landslide or mudslide. In most of mudslide-damaged residences, the electricity equipments, especially electricity poles, are usually. Since the location and status of each electricity pole are usually recorded in Transmitter pole and receiver station, AMI (Advanced Metering Infrastructure) communication network is the best solution for constructing the mudslide detection network. This project consist of an ARM based microcontroller board which continuously monitors the angle of a pole that digged in highly mud slide affected area, and send the status of the devices through internet. We can access the status of the devices from any place from a computer with an internet through a Visual basic application. Also the Forewarning time is calculated and sends through GPRS module present in the system.


Advanced Metering Infrastructure, Data Analysis, Disaster Prevention System, Sensor Network, Mudslide Detection.

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