This project proposes an IoT-based landslide detection system for Georgia. Landslides are a major threat, and early detection is crucial. The system uses sensors on slopes and riverbeds to collect real-time environmental data. This data is then analyzed to assess landslide risk and trigger warnings for residents and authorities. This allows taking preventive measures to minimize damage. The beauty is that the system is automated and works anywhere with network coverage.
How a special network called LPWAN (Low Power Wide Area Network) can be used for early landslide warnings.
Here’s the key:
- LPWAN uses radio signals to send data over long distances with very low battery consumption (lasting years on a single battery).
- Sensors on slopes can be used to monitor ground movement.
- When these sensors detect changes, they send tiny data packets through the LPWAN network to a central server.
- The server analyzes the data to assess landslide risk and automatically sends alerts to people in danger.
- This system is low-cost, low-power, and can work even in remote areas.
Using LPWAN is the best way to transmit landslide data because it’s fast, accurate, and uses minimal power. They also think using IoT for landslide detection is a great way to prevent disasters. There are already 3 groups in Georgia with similar systems that could implement this project.
A landslide occurred at #Rikoti Pass, located at the 147th km of the #Tbilisi-Senaki-Leselidze highway, resulting in the temporary prohibition of all types of traffic on this road section.#Georgia pic.twitter.com/SufYTVXcxn
— Netgazeti (@netgazeti) April 11, 2023
