Application of a learning model to a forest machinery work and analysis of progress in a machine operation technique

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  • 林業機械作業への習熟モデルの適用と技術習得プロセスの分析
  • リンギョウ キカイ サギョウ エ ノ シュウジュク モデル ノ テキヨウ ト ギジュツ シュウトク プロセス ノ ブンセキ

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Abstract

<p>We observed changes in the productivity of log-loading work using a grapple loader and determined how an operator can gain proficiency in operating forest machines by evaluating the subsequent machine work of the operators who were inexperienced in forest machine operations. Consequently, we found that the work time tended to decrease with an increase in the work experience of the operator. This could be because of the improvement in machine operation techniques such as simultaneous operation of actuators or effective uses of machine abilities and the acquisition of work knowledge regarding log treatment or efficient trajectory of the work machine. This consistent decrease in work time and improvement in productivity can be expressed using a log-linear learning model, with a determination coefficient of >0.90 in regression analysis. This showed that an operator’s long-term improvement in forest machine operation can be predicted by observing the early progress of the operator. In addition, we revealed that observation of the work should be performed at least five times to complete an exact model.</p>

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