Summary
HyperCOG project “HYPERCONNECTED ARCHITECTURE FOR HIGH COGNITIVE PRODUCTION PLANTS” addresses the full digital transformation of the process industry and cognitive process production plants through an innovative Industrial Cyber-Physical System (ICPS). It is based on commercially available advanced technologies, that will enable the development of a hyper-connected network of digital nodes. The nodes can catch outstanding streams of data in real-time, which together with the high computing capabilities available nowadays, provide sensing, knowledge and cognitive reasoning to the industrial business.
Furthermore, HyperCOG is deeply grounded in the last advances in Artificial Intelligence such as modelling for twin factories, decision-support systems for human-machine interaction and augmented reality for industrial processes visualization. It pursues self-learning from the process in order to deal with the typical dynamic fluctuations of the industrial processes and global optimization.
The objective is to increase the production performance while reducing the environmental impact by reducing the energy consumption and the CO2 emissions thereof. Society will get profit of this project not only throughout the environmental impact, but through the lifelong learning of workers and vocational training for digitisation, and the available training modules for youth at schools such as ESTIA technological institute or U-PEC University.
The breaking-edge system proposed in HyperCOG project will be validated on the productivity and environmental impacts, replicability and usability aspects on three use cases belonging to the SPIRE scope such us SIDENOR (steel making), CIMSA (cement), and SOLVAY (chemical) use cases.
Furthermore, HyperCOG is deeply grounded in the last advances in Artificial Intelligence such as modelling for twin factories, decision-support systems for human-machine interaction and augmented reality for industrial processes visualization. It pursues self-learning from the process in order to deal with the typical dynamic fluctuations of the industrial processes and global optimization.
The objective is to increase the production performance while reducing the environmental impact by reducing the energy consumption and the CO2 emissions thereof. Society will get profit of this project not only throughout the environmental impact, but through the lifelong learning of workers and vocational training for digitisation, and the available training modules for youth at schools such as ESTIA technological institute or U-PEC University.
The breaking-edge system proposed in HyperCOG project will be validated on the productivity and environmental impacts, replicability and usability aspects on three use cases belonging to the SPIRE scope such us SIDENOR (steel making), CIMSA (cement), and SOLVAY (chemical) use cases.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/869886 |
| Start date: | 01-09-2019 |
| End date: | 31-08-2023 |
| Total budget - Public funding: | 7 649 262,00 Euro - 6 504 312,00 Euro |
Cordis data
Original description
HyperCOG project “HYPERCONNECTED ARCHITECTURE FOR HIGH COGNITIVE PRODUCTION PLANTS” addresses the full digital transformation of the process industry and cognitive process production plants through an innovative Industrial Cyber-Physical System (ICPS). It is based on commercially available advanced technologies, that will enable the development of a hyper-connected network of digital nodes. The nodes can catch outstanding streams of data in real-time, which together with the high computing capabilities available nowadays, provide sensing, knowledge and cognitive reasoning to the industrial business.Furthermore, HyperCOG is deeply grounded in the last advances in Artificial Intelligence such as modelling for twin factories, decision-support systems for human-machine interaction and augmented reality for industrial processes visualization. It pursues self-learning from the process in order to deal with the typical dynamic fluctuations of the industrial processes and global optimization.
The objective is to increase the production performance while reducing the environmental impact by reducing the energy consumption and the CO2 emissions thereof. Society will get profit of this project not only throughout the environmental impact, but through the lifelong learning of workers and vocational training for digitisation, and the available training modules for youth at schools such as ESTIA technological institute or U-PEC University.
The breaking-edge system proposed in HyperCOG project will be validated on the productivity and environmental impacts, replicability and usability aspects on three use cases belonging to the SPIRE scope such us SIDENOR (steel making), CIMSA (cement), and SOLVAY (chemical) use cases.
Status
SIGNEDCall topic
DT-SPIRE-06-2019Update Date
27-10-2022
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
H2020-EU.2.1.5. INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing
Search
Organisations
-
| Lortek (Coördinator)
-
| 2.-O LCA CONSULTANTS APS
-
| CIMSA CIMENTO SANAYI VE TICARET ANONIM SIRKETI
-
| CYBER SERVICES ZARTKORUEN MUKODO RESZVENYTARSASAG
-
| Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)
-
| ECOLE SUPERIEURE DES TECHNOLOGIES INDUSTRIELLES AVANCEES
-
| EKODENGE MUHENDISLIK MIMARLIK DANISMANLIK TICARET ANONIM SIRKETI
-
| FUNDACION TECNALIA RESEARCH & INNOVATION
-
| INSIGHT MEDIA GROUP LTD
-
| MONDRAGON SISTEMAS DE INFORMACION SOCIEDAD COOPERATIVA
-
| RHODIA OPERATIONS
-
| SIDENOR ACEROS ESPECIALES SL (SIDENOR)
-
| SIDENOR INVESTIGACION Y DESARROLLOSA
-
| TECHNOLOGIE INITIATIVE SMARTFACTORY KL E.V.
-
| UNIVERSITE PARIS XII VAL DE MARNE