Reviewed by the Prime Minister of India
IIT Mandi's low-cost landslide monitoring and early warning system was presented to and reviewed by Prime Minister Narendra Modi.
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To predict landslides in hilly areas, we propose a system combining Wireless Sensor Networks (WSN) and IoT. It uses 12 geological sensors across four nodes to monitor rainfall, soil moisture, and ground angle. Data is sent via GSM to a cloud server for analysis, providing early warnings to locals. The system will be validated through a scaled-down physical simulation.
The early warning system is enhanced using both point-to-point (SMS-PP) and cell broadcast (SMS-CB) messaging to alert residents in high-risk zones. This real-time monitoring and effective warning system can significantly reduce the loss of life and property.
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Landslide Monitoring
This project deploys wireless sensors on hillsides to monitor soil stability. It analyzes real-time data on moisture and movement, sending immediate landslide warnings via SMS to at-risk communities, saving lives and property.
Live Weather
Live weather sensors deliver real-time, on-site rainfall data. This immediate meteorological input is a primary trigger for the automated landslide early warning system.
