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Simulation and optimisation for future industrial applications (SOFIA)
Smart Flows
The project will enable the anticipated learning machines for the process industry with potential significantly to reduce economic and environmental costs.
Concluded
Start
2016-09-01
Conclusion
2019-09-30
Main financing
Vinnova, Processindustriell IT och Automation
Co-financing
Mälarenergi, ABB, Sigholm, EvoThings
Collaboration partners
VSICS, Mälarenergi, ABB, Sigholm, EvoThings
Project manager at MDH
Professor
Konstantinos Kyprianidis
+4621151765
konstantinos.kyprianidis@mdh.se
Description of the project
To be in the forefront, Swedish process industry need to make digitization efforts that matters. Many traditional automation tasks in processes industry have been refined over long periods of time and to make a leap in efficiency and competitiveness will require novel and innovative methods. Machine learning is a promising technology that have been applied to many challenging tasks. Moreover, by using IoT and cloud technologies it is now cost efficient to transfer large amounts of information to data centers and analyze them at a massive scale. It is also possible to mix data from different sources and add data sources that has not been practically available in the traditional automation environment.
The industrial process flows are constantly evolving, e.g., in a mine with progress of new drifts. Thus, industrial application of machine learning will require continuous and automated adaption of the algorithms. The Smart Flows project will enable the anticipated learning machines for the process industry with potential significantly to reduce economic and environmental costs. The project partners, MDH, SICS, ABB, Mälarenergi, Sigholm, and Evothings, together with the broad consortia and reference group from Swedish process industry, cover the wide span of the needed competence. We believe that an industrial demonstrator showing
the feasibility and value of innovative applications developed on top of future industrial IoT platforms will be of great value to Sweden.
This research relates to the following sustainable development goals
Industry, innovation and infrastructure. Sustainable development goal 9.
Build resilient infrastructure, promote sustainable industrialization and foster innovation.
Sustainable cities and communities. Sustainable development goal 11.
Make cities inclusive, safe, resilient and sustainable.