Productivity Analysis of Mid-Size Cable Yarding Operation based on UAV-captured Video Sequences

Q3 Engineering
Halit Büyüksakalli, A. Akay
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引用次数: 0

Abstract

One of the most preferred timber extraction methods in steep and mountainous terrain conditions is cable yarding. In recent years in Turkiye, mid-size cable yarders have begun to be used frequently in steep forest areas where intensive forestry is carried out. In order to make more effective use of cable yarders and achieve maximum productivity, timber extraction operations must be planned in the most appropriate way and implemented in the field accordingly. The productivity of mechanized equipment used in harvesting operations is mostly determined by using time study analysis. In traditional methods, time measurements are carried out by observing the work stages with time recording devices (stopwatches) in the area where the machine operates. Since timber extraction by using a cable yarder takes place in steep and tough terrain conditions, difficulties may be encountered in applying time analysis in the field. In this study, it was aimed to obtain high-resolution digital video images of the activities of cable yarding operation with an Unmanned Aerial Vehicle (UAV) and to calculate productivity through time study analysis on these images. In the study, Tajfun MOZ 500 GR model mid-size cable yarder was evaluated during a timber extraction operation in Köyceğiz Forest Enterprise Chief (FEC) located in the city of Muğla in Turkiye. Besides, statistical analysis was performed to estimate the effects of factors such as average product length, product diameter, lateral yarding distance, number of pieces and total product volume per turn on the productivity of the cable yarder. The results indicated that UAV video images can be an effective alternative method to conduct time study analysis and productivity estimations. It was found that the productivity of the mid-size cable yarder was 11.76 m3/hour. During the operation, pulling mainline to the product and choker setting was the most time-consuming work stage, followed by the time loaded carriage reaching the landing. The statistical analysis indicated that there was a significant relationship (p
基于无人机捕捉的视频序列的中型电缆码放作业生产率分析
在陡峭的山地条件下,最常用的木材采伐方法之一是缆索码放。近年来,在土尔其,中型缆索码垛机开始被频繁地用于密集林业的陡峭林区。为了更有效地利用缆索码垛机并实现最高生产率,必须以最合适的方式规划木材采伐作业,并相应地在现场实施。采伐作业中使用的机械化设备的生产率大多通过时间研究分析来确定。在传统方法中,时间测量是通过在机器工作区域使用时间记录装置(秒表)观察工作阶段来进行的。由于使用缆索码垛机进行木材采伐是在陡峭和恶劣的地形条件下进行的,因此在现场应用时间分析可能会遇到困难。本研究旨在利用无人机(UAV)获取电缆码放作业活动的高分辨率数字视频图像,并通过对这些图像进行时间研究分析来计算生产率。在这项研究中,在位于土耳其穆拉市的 Köyceğiz 森林企业负责人 (FEC) 的一次木材采伐作业中,对 Tajfun MOZ 500 GR 型中型电缆码垛机进行了评估。此外,还进行了统计分析,以估算产品平均长度、产品直径、横向码垛距离、件数和每转产品总量等因素对电缆码垛机生产率的影响。结果表明,无人机视频图像是进行时间研究分析和生产率估算的有效替代方法。结果发现,中型电缆码垛机的生产率为 11.76 立方米/小时。在操作过程中,将主线拉至产品和设置扼流圈是最耗时的工作阶段,其次是装载小车到达着陆点的时间。统计分析表明,这两个阶段之间存在显著关系(p
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来源期刊
European Journal of Forest Engineering
European Journal of Forest Engineering Agricultural and Biological Sciences-Forestry
CiteScore
1.30
自引率
0.00%
发文量
6
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