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EU funding (€6,982,431): COGNITIVE PLANTS THROUGH PROACTIVE SELF-LEARNING HYBRID DIGITAL TWINS Hor28 Aug 2019 EU Research and Innovation programme "Horizon"

Overview

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COGNITIVE PLANTS THROUGH PROACTIVE SELF-LEARNING HYBRID DIGITAL TWINS

"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 "


Funded Companies:

Company name Funding amount
Cybernetica AS €586,425
DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GmbH €433,125
Elkem ASA €521,500
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG e. V. €677,500
HYDRO ALUMINIUM DEUTSCHLAND GmbH €440,475
Noksel Celik Boru Sanayi AS €166,250
OULUN YLIOPISTO €378,750
Privredno Drustvo ZA Pruzanje Usluga Istrazivanje I Razvoj Nissatech Innovation Centre d.o.o. €380,975
SAARSTAHL AG €429,439
Scortex €195,354
SHS - STAHL-HOLDING-SAAR GmbH & Co.KGaA €0.00
Sidenor Aceros Especiales SL €275,275
Sidenor Investigacion y Desarrollosa €0.00
Sintef AS €1,685,262
SUMITOMO SHI FW ENERGIA Oy €477,327
Teknopar Endustriyel Otomasyon Sanayi VE Ticaret Anonim Sirketi €334,775

Source: https://cordis.europa.eu/project/id/870130

The filing refers to a past date, and does not necessarily reflect the current state.

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