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Digital twin of sawmill for efficient production and maintenance

The digital twin for saw mills project focuses on collecting, structuring and sharing data for increased efficiency and up-time of the bandsaw line in Moelvens Valåsen saw mill. The digital twin will be used to achieve higher production efficiency together with partners SKF and OPTIWARE that provide industrial equipment as w ell as services for maintenance of equipment. Moelven already has a significant amount of sensor data, and production related data for these parts of the plank production from a previous project “Det Digitala Sågverket” (the digital sawmill). In this project w e w ill continue working with this data but instead of analyzing it only at Moelven, it will be structured for sharing with the equipment and maintenance supply-chain partners. During the project more data will be added, including 3D scans of the sawmill, video-data from the production line, and additional sensor data that are needed for the specific equipment and maintenance tasks that are selected for demonstration in the second part of the project. The research partners, RISE and FCC, provide expertise and many years of experience in Internet of Things, AI, AR, industrial production, wood industry. The first (initialization) part of the project will focus on defining one or a few use cases for the equipment and maintenance supply chain for saw mills and detail the requirements on the digital twin that will be the basis for developing the demonstrator in the second part of the project. When the use cases are decided the project consortium will be extended with more industrial partners that are part of the supply-chain for equipment and maintenance. We will also detail an initial digital twin platform and select information models to use.

Project manager

Participating researcher(s)


Digital transformation, Digitalization, Industrial IoT, Industrial process,, Maintenance

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Project time



890 000 kronor





Fraunhofer Chalmers



SIP Produktion2030