Project description
A twin take on factory analytics
Digital twins are a virtual simulation of real-world objects. One of the main expectations of the use of digital twins is to provide the capability to observe and monitor the behaviour of their respective physical twins. The EU-funded FACTLOG project will develop a real-time processing layer where observations, knowledge and experience interoperate to understand the control behaviour of a complex system (cognition). It will enable the realisation of the cognitive factory as an ensemble of independent but intertwined European Credit Transfer (ETC) systems that can self-learn and detect and react to anomalies and disruptions. The 20-member consortium will bring related knowledge and innovation, organising different pipelines of machine learning and analytical tools.
Topic(s)
Call for proposal
H2020-NMBP-SPIRE-2019
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Funding Scheme
IA - Innovation actionCoordinator
47822 Santarcangelo Di Romagna
Italy
Participants (20)
11251 Athens
185 32 Piraeus
1015 Lausanne
1210 Ljubljana
1000 Ljubljana
1000 Ljubljana
18000 Nis
731 00 Chania
41790 Kocaeli
R32 Dundalk Co Louth
CF31 3WT Bridgend
NP19 4RD Newport
8500-794 Portimao
13814 Pollone
13856 Vigliano Biellese
Participation ended
013685 Bucuresti
300704 Timisoara
20097 Hamburg
34440 Istanbul
013685 Bucuresti