METHOD, SYSTEM AND PAPERBOARD PRODUCTION MACHINE FOR ESTIMATING PAPERBOARD QUALITY PARAMETERS

摘要

The invention relates to a computer-implemented method for estimating at least one quality parameter of paperboard produced in a paperboard production subprocess (PP) of a paperboard processing pipeline (P) by a data-driven module (DD) comprising a preprocessing module (PM) and a machine-learning module (ML). Sensor data (D1 to D5, D1' to D5') is acquired along the processing pipeline (P). Features (F, F') are extracted from the sensor data (D1 to D5, D1' to D5') by the preprocessing module (PM). The machine-learning module (ML) is trained to reproduce target quality values from historical features (F'). After training, the machine-learning module (ML) processes real-time features (F) and estimates at least one quality parameter. The invention further relates to a system implementing said computer-implemented method and to a paperboard production machine comprising such a system.