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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

Huvudfinansiering

Forskningsinriktning

Projektansvarig vid MDH

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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.

 

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