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Artificiell intelligens och intelligenta system
Automatiserade mjukvaruspråkutveckling och mjukvaruteknik
Certifierbara bevis och justifieringsteknik
Cyber-fysisk systemanalys
Datakommunikation
Digitalisering
Formell modellering och analys av inbyggda system
Förnybar energi
Heterogena system
Industriell programvaruteknik
Komplexa inbyggda system i realtid
Lärande och optimering
Medicinsk teknik
Modellbaserad konstruktion av inbäddade system
Programmeringsspråk
Programvarutestlaboratorium
Resurseffektivisering
Säkerhetskritisk teknik
Teknisk matematik
DIGICOGS: DIGital Twins for Industrial COGnitive Systems through Industry 4.0 and Artificial Intelligence
In DIGICOGS, cutting-edge solutions will be achieved through data-driven analytics, real-time monitoring and intelligent adaptive prediction based on combination of information i.e, sensor data, domain and context. DIGICOGS comprises MDH (a research group), Seco Tools (supplier to process industry and to GKN Automotive) & GKN Automotive (manufacturing industry).
Projektets webbplats
Start
2020-04-15
Planerat avslut
2023-05-30
Samarbetspartners
Forskningsområde
Forskningsinriktning
Projektansvarig vid MDH
Goal of the project
The goal of DIGICOGS is to provide a digital twin that combines sensor information, AI and machine learning and big data analytics that underpin the new wave of the industrial cognitive system.
DIGICOGS project tasks will be performed as several work packages (WPs) including different methodologies, such as determining the state of the art, studying the data, defining the use-cases, developing the tools and evaluating the results. The predictive analytic tools developed in DIGICOGS will assist operational operators, engineers and maintenance staff in fast & efficient process monitoring, predictive maintenance, improving productivity and energy efficiency.
