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GeoNetSee - An AI/IoT-based system of GEOsensor NETworks for real-time monitoring of unStablE tErrain and artificial structures
Start year
End year
Ministerstvo pro místní rozvoj
Obecná forma
Interreg Danube
The GeoNetSEE project will create a solution for monitoring unstable terrain and artificial structures, which will include a geosensor network and a platform for collecting, processing, and visualizing collected data in real-time. An innovation chain of technology and knowledge-intensive activities within the Danube region will be created, which will enable to close innovation gaps and the uptake of advanced technologies for a smarter and greener Danube region. The infrastructure of the solution will include the installation of permanent CORS stations that would join the EUREF Permanent GNSS Network (EPN) and thus provide access to data from global navigation satellite systems (GPS, GLONASS, Galileo, Beidou, etc.). The project will include transnational cooperation to complement national and regional mainstream with innovative and coordinated policy, planning and pilot-tested led delivery. Furthermore, partner countries are part of the Eurasian tectonic plate and thus the importance of the European Terrestrial Reference System 89 (ETRS89) usage is crucial. The real-time terrain and facility monitoring service will ensure timely community response to ground movement and facility deformation, which can result in material damage and loss of life. Unstable terrain knows no national borders, and the GeoNetSEE project offers a solution that is important for all members of the Danube region and beyond. Using cloud technologies, anyone can access relevant data and detect measurement values that exceed the tolerance threshold. In this way, a large amount of data is provided, which would enable further research and application of geosensor networks outside geodesy, for example in domains of geotechnical, geological analyses, damage, and risk assessments, planning adequate prevention, preparedness, response, and recovery measures, etc.