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Artificial Intelligence och Intelligent Systems

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).

Project website

Start

2020-04-15

Planned completion

2023-05-30

Main financing

Collaboration partners

Project manager at MDH

Senior Lecturer

Mobyen Uddin Ahmed

+4621107369

mobyen.ahmed@mdh.se

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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.

 

This research relates to the following sustainable development goals

Gender equality. Sustainable development goal 5.

Achieve gender equality and empower all women and girls.

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Decent work and economic growth. Sustainable development goal 8.

Promote inclusive and sustainable economic growth, employment and decent work for all.

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Industry, innovation and infrastructure. Sustainable development goal 9.

Build resilient infrastructure, promote sustainable industrialization and foster innovation.

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Sustainable cities and communities. Sustainable development goal 11.

Make cities inclusive, safe, resilient and sustainable.

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