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Content archived on 2024-05-29

Intelligent distributed process utilisation and blazing environmental key

Objective

In several industrial processes a misuse of resources prevails that drastically could be reduced introducing smart ICT-tools allowing real-time traceability solutions. One rather spectacular application concerns the forestry-wood production chain where proper raw material for specific final products is an unsolved problem due to the complexity of biological raw-material in industrial processes. The magnitude of the problem, based on estimation of the total production of sawn wood in Europe 2002, is 25 million m3 equivalents to 5 billion euro. The Indisputable Key aims at developing methodology, technology, and knowledge to enable a significant increase in the utilisation of production resources in the forestry-wood production chain and to decrease the environmental impact.

The developed systems will be based on the Individual Associated Data (IAD) concept, which facilitates automatic tracking of data along the forest-wood chain. Parameters involved, e.g. breast height diameter class, log number in the stem and cutting date strongly influences final wood product quality. Making information available at different stages along the forestry-wood chain requires automatic traceability systems, starting with logs in the forest. Communication between systems requires advanced information technology involving RFID-transponders and cellular phones adapted to industrial use by increased functionality. Frontline mechatronics, software, nano mechanics and electronics RandD partners will develop these systems.

Verifying the function and environmental effects of the Indisputable Key systems will be implemented in different nodes of the forest-wood production chain by high-tech developers and evaluated by world-leading industry groups and fore-runner SMEs at hardwood and softwood forest industries in France, Norway, Finland and Sweden.

Call for proposal

Data not available

Coordinator

SP SVERIGES TEKNISKA FORSKNINGSINSTITUT AB
EU contribution
No data

Participants (27)