UC 1.1: Data and material models driven lumber production and handling

Summary

Key Challenge
Precision and relevance of material models, model sizes, real-time image data processing speed.

Assessment of benefits of using digital (wood) material models and real-time sensor data for sawmill process (selection, cutting, drying) optimisation and lumber quality improvements.

Expected Benefits

Increase of sawmill yield by 20%, increase of lumber quality – reduction of sold material nonconformity claims by 10%.

Structured mapping
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Demonstrator (project outcome type)
Industrial pilot or use case