Descrizione del progetto
Una soluzione ibrida per i produttori europei
Il mondo della produzione si sta allontanando da disegni su carta, specifiche 2D, enormi impianti e lunghe catene di montaggio e i processi attuali nel settore stanno diventando digitalizzati. I progetti complicati vengono trasmessi alle officine su speciali unità flash USB o tablet ed esistono gemelli digitali per rispecchiare gli oggetti in costruzione. Il progetto COGNITWIN, finanziato dall’UE, esaminerà come gli impianti attuali possono imparare dai dati storici e adattarsi. Il progetto collaborerà con numerose aziende e gruppi di ricerca di tutta Europa per creare una piattaforma che includa una rete di sensori per il monitoraggio e la raccolta di dati da vari processi di impianto. La piattaforma includerà IoT, megadati, IA, sensori intelligenti e tecnologie di apprendimento e comunicazione automatiche.
Obiettivo
"While the concept of digitalisation and Industry 4.0 is making rapid inroads into the European manufacturing sector, there are several aspects that can be still incorporated into the system which can strengthen the goal of optimal process operations. One such aspect to the digitalisation vision is the ""cognitive element"", where the process plants can learn from historical data and adapt to changes in the process while also being able to predict unwanted events in the operation before they happen. Through this project, COGNITWIN (Cognitive digital Twin), we aim to add the cognitive element to the existing process control systems and thus enabling their capability to self-organise and offer solutions to unpredicted behaviours.
To achieve the objectives of the project, we have partnered with six industries and seven research groups from seven European nations, each of whom will bring their expertise in data analytics and pattern recognition which are going to be at the heart of the COGNITWIN solution platform. The set-up of the platform includes a sensor network that will continuously monitor and collect data from various plant processes and assets which will be stored at a database. This data will be used to develop a digital twin of the process and will also be used to develop models with cognitive capability for self-learning and predictive maintenance which will lead towards optimal plant operations.
The project builds on ideas and technologies that have been validated in controlled environments (TRL 5) to arrive at prototype demonstrations in operational environments (TRL 7). The COGNITWIN project results will be implemented to our industrial partner's processes to demonstrate the transition from TRL 5 to TRL 7.
TRL – Technology Readiness Level
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Campo scientifico
- 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
Parole chiave
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-NMBP-SPIRE-2019
Meccanismo di finanziamento
IA - Innovation actionCoordinatore
7034 Trondheim
Norvegia