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E!114129 MEWS - A distributed, scalable and cost-effective Mass movement Early Warning System


We want 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. We want to do this because 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. The Norwegian partners in this Eurostars project, for whom this application-form is for, are: 1) Spordata AS, a Norwegian SME that focuses on development of IoT technology and selling resulting products and services to the market. 2) NGI (Norwegian Geotechnical Institute) is Norway's leading geotechnical professional environment and an international center for research and consulting in engineering-related geosciences. Spordata and NGI will have overall responsibility only for parts of the developments in the overall projects and consequently also only for parts of the primary and secondary objectives (in previous section).

Project leader: Gaute Langaas

Started: 2020

Ends: 2022

Category: Næringsliv

Sector: Næringsliv

Budget: 5017000

Institution: SPORDATA AS

Address: Asker