Digitization of round wood measurements along the forestry/wood value chain using laser scanning
Abstract
The measurement of timber is of central economic importance in forestry and the wood industry. In practice measuring harvested wood is time-consuming and thus expensive. Forestry companies therefore usually rely on the wood industry's measurement lists to determine the exact quantities of wood harvested. In the course of this project, algorithms for the automatic measurement of wood stacks recorded with laser scanners, are going to be developed. The aim is to enable the transparency of timber flows along the supply chain and advance the digitization of it. This will be achieved in three sub-goals: 1. Individual log measurement of higher-value round timber assortments An overview of the quantities of timber harvested and delivered is of particular economic interest in the case of high-value and sawn round wood. For this type of stacked wood, it should be possible to generate measurement results on an individual log basis and thus obtain an overview of diameter and volume distributions, assortment lengths and the total stack volume. 2 Objective determination of conversion factors for energy and industrial wood Various conversion factors are used when converting the gross volume into the net volume. The choice of the factor is usually based on subjective judgement though. By collecting parameters from laser scans, it should be possible to determine an individual conversion factor for scanned wood stacks and thus enable an objective, comprehensible volume determination for energy and industrial wood stacks. 3. feature recognition of stacked logs The composition of tree species and the proportion of lower-value assortments are important factors in the invoicing of wood. However, an exact survey of the volume shares of these assortments is time-consuming outside of sawmills. These variables are therefore usually estimated. Using algorithms developed in this project, the estimation of tree species and value-reducing properties such as wood decay or blue stain will be automated using laser scanning data. This should be possible for energy and industrial wood as well as saw logs. Together with the evaluation of individual log sizes, it should ultimately be possible to create a list of dimensions for stacks of saw logs, as is known from sawmills.
Project staff
Christoph Gollob
Dipl.-Ing.Dr.nat.techn. Christoph Gollob
christoph.gollob@boku.ac.at
Tel: +43 1 47654-91418
Project Leader
01.12.2024 - 30.11.2027
Arne Nothdurft
Univ.Prof. Dipl.-FW.Dr. Arne Nothdurft
arne.nothdurft@boku.ac.at
Tel: +43 1 47654-91411
Project Staff
01.12.2024 - 30.11.2027
Tim Ritter
Dr. Tim Ritter BSc.MSc.
tim.ritter@boku.ac.at
Tel: +43 1 47654-91414, 152091414
Project Staff
01.12.2024 - 30.11.2027