Kick-off for the next step in automatic woAlent Dynamic and the Control Engineering Group at Luleå University of Technology work together on a project to develop fully automatic wood drying using machine learning and self-correcting AI tools.
The aim of this project is to achieve high quality accuracy for all product schedules through an increased level of automation and digitizing. Additionally also to increase the energy and resource efficiency of wood drying.
Calibration and self-correction tools will be developed jointly with available tools from system identification and machine learning to estimate the condition of the kiln and correct for errors and, overall, make it easier to dry optimally.d drying