Russian sawmill modernization (a case study). Part 2: improving the efficiency of wood chipping operations

Abstract

Given the upward trend of deforestation in the world, improving the quality of wood waste sorting operations is a major challenge in forestry from the perspective of energy saving and environmental conservation. The quality of wood chips defines their further application, whether it is production or fuel. The second case study presents a new approach to the problem of sorting wood chips for increasing their quality using machine learning and laser scanning technology. The proposed methodology includes functions to analyse the fractional size distribution among wood chips and rot detection. It shows that once a defective chip is detected, the quality control system will automatically remove it from the conveyor belt while it is moving. The minimization of wood waste will reduce logging intensity and increase the profitability of lumber enterprises.

A comprehensive review on wood chip moisture content assessment and prediction

“…The purpose of ISO 17225-4:2021 is to establish an unambiguous and transparent classification standard for graded wood chips. Several attributes fall under the wood chip quality standards, including MC [2,3,[5][6][7], ash content [5,18,19,28,33,41], particle size distribution [18,26,[46][47][48][49][50][51][52][53], and the amount of some inorganic elements such as chlorine.…”