Project title: Mass movement Early Warning System (MEWS) for early detection of landslides, rockfalls and avalanches
Project leader: BEIA Consult International
- AMPLIA (Spain)
- Spordata AS (Norway)
- NGI (Norway)
The project aims to develop a scalable Mass movement Early Warning System (MEWS) for early detection of landslides, rockfalls and avalanches. It will collect large amounts of data from an array of field-deployed, wireless, low cost and self-powered IoT Devices, hosting many sensor types. The data will feed a cloud based system and use machine learning for fast processing and decision making. We will deliver a prototype of such a system to demonstrate its potential in the case of avalanche detection.
Mass movements, like landslides or avalanches, pose dramatic risks to individuals, populated areas, and critical transportation infrastructure. IoT technology provides the opportunity to develop an early warning system predicting the probability of an event with sufficient accuracy to help mitigate the consequences. Reducing risk reduces cost – both in terms of societal exposure, but also in material damages.
Mass movements are relatively common natural events, however they result in human casualties and enormous property damage worldwide. Costs are incalculable, but likely amount to billions of euros every year. MEWS offers the potential for a huge reduction in losses. We are convinced that there is the opportunity for revenue and profit by providing this solution to governments, local municipalities and private entities.