Modeling Quality knowledge to design log sorting system by X rays tomography

Abstract

Abstract:The aim of this paper is to highlight the advantage of using human (expert) knowledge and know-how to design an automated quality control system. This study is based on an industrial case of a French sawmill. The modeling deals with qualitative analyses of round wood and sawn timber in order to tune X rays scanner system. NIAM/ORM method is used to model quality expert knowledge. It enables to establish existing or missing links in one quality or between different levels of quality. This model will improve the optimization of one or several decision methods based on experts' knowledge of the company.

Wood Piece Quality Evaluation using Choquet Integral and Fuzzy Merging

“…The use of non destructive control techniques (Bucur, 2003), in particular X ray computed tomography, allows to have a 3D representation of the log (internal and external) to be cut. (Almecija et al, 2012) use volumetric information to improve part log quality determination and their sorting. In our proposition we investigate this step and the global process is described in the figure 1.…”

“…So the criteria have to reflect singularity impact on the visual quality. (Almecija et al, 2012) defines forty criteria to evaluate quality. From this forty criteria, only around twenty concern the final product and only a dozen the visual quality.…”