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Improving the quality of sorting wood chips by scanning and machine vision technology

Grigorev, Igor ; Shadrin, Anatoly ; Katkov, Sergey ; Borisov, Vyacheslav ; Druzyanova, Varvara ; Gnatovskaya, Irina ; Diev, Roman ; Kaznacheeva, Natalya ; Levushkin, Dmitry ; Akinin, Dmitriy

Journal of forest science (Praha), 2021-05, Vol.67 (5), p.212-218 [Periódico revisado por pares]

Prague: Czech Academy of Agricultural Sciences (CAAS)

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Título:
Improving the quality of sorting wood chips by scanning and machine vision technology
Autor: Grigorev, Igor ; Shadrin, Anatoly ; Katkov, Sergey ; Borisov, Vyacheslav ; Druzyanova, Varvara ; Gnatovskaya, Irina ; Diev, Roman ; Kaznacheeva, Natalya ; Levushkin, Dmitry ; Akinin, Dmitriy
Assuntos: Belt conveyors ; Control systems ; Economics ; Energy conservation ; Energy resources ; Energy sources ; Forest harvesting ; image processing ; laser scanning ; Learning algorithms ; Logging ; Lumber ; Machine learning ; Machine vision ; otsu method ; Profitability ; Quality control ; Rot ; Scanning ; Size distribution ; Technology ; Timber ; Timber industry ; wood ; Wood chips ; Wood waste
É parte de: Journal of forest science (Praha), 2021-05, Vol.67 (5), p.212-218
Descrição: Improving the quality of sorting wood waste is the main problem in the timber industry from the point of view of saving energy resources and preserving the environment, associated with the intensity of forest harvesting. Depending on the required quality characteristics, the sorting of wood chips makes it possible to determine their further use in production or utilization as a fuel. This paper presents the results of the development of a novel approach to sorting wood chips on a conveyor belt using machine learning and scanning technology. The proposed methodology includes functions to analyze the fractional size distribution among wood chips and rot detection. It shows that once a defective unit 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.
Editor: Prague: Czech Academy of Agricultural Sciences (CAAS)
Idioma: Inglês;Tcheco;Eslovaco

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Improving the quality of sorting wood chips by scanning and machine vision technology

Grigorev, Igor ; Shadrin, Anatoly ; Katkov, Sergey ; Borisov, Vyacheslav ; Druzyanova, Varvara ; Gnatovskaya, Irina ; Diev, Roman ; Kaznacheeva, Natalya ; Levushkin, Dmitry ; Akinin, Dmitriy

Prague: Czech Academy of Agricultural Sciences (CAAS)

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