Project description
A hybrid solution for Europe’s manufacturers
The world of manufacturing is moving away from paper drawings, 2D specs, the huge plants and long assembly lines. Today’s processes in the industry are becoming digitised. Complicated designs are handed down to the shop floors on special USB flash drives or tablets. Digital twins exist to mirror the objects being built. The EU-funded COGNITWIN project will investigate how today’s plants can learn from historical data and adapt. It will partner with numerous industries and research groups from around Europe to create a platform that includes a sensor network for monitoring and collecting data from various plant processes. The platform will include IoT, Big Data, AI, smart sensors as well as automatic learning and communication technologies.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- natural sciencescomputer and information sciencesdatabases
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
Programme(s)
Topic(s)
Funding Scheme
IA - Innovation actionCoordinator
7034 Trondheim
Norway
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Participants (13)
41515 Grevenbroich
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02131 Espoo
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48970 Basauri Bizkaia
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0277 Oslo
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66333 Volklingen
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67663 Kaiserslautern
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7038 Trondheim
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
18000 Nis
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80686 Munchen
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90014 Oulu
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06370 Ankara
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
06460 Ankar
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Participation ended
92100 Boulogne Billancourt