货代智能臂架控制对操作人员绩效的影响

IF 2.7 2区 农林科学 Q1 FORESTRY Croatian Journal of Forest Engineering Pub Date : 2021-11-24 DOI:10.5552/crojfe.2022.965
T. Zemánek, P. Fiľo
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引用次数: 6

摘要

研究了货代智能吊臂控制系统(IBC)对操作人员工作的影响。使用约翰迪尔收割机和货代模拟器对IBC和标准系统的起重机控制进行了测量。两名没有受过任何实际训练的人员和两名有控制起重机经验的人员进行测量。监测包括八个不同的绩效指标。使用IBC系统,未经训练的操作人员的工作产量增加了27%。使用IBC系统后,这些个体对机器的直接损害也减少了53%。然而,我们的研究结果表明,在所有监测的指标中,经验的长短影响了操作员的表现。尽管如此,使用IBC系统对机器运行的经济性有直接的积极影响。
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Influence of Intelligent Boom Control in Forwarders on Performance of Operators
This paper deals with the influence of an Intelligent Boom Control (IBC) in forwarders on the work of operators. The work with the IBC and standard system of crane control was measured by the use of a John Deere harvester and forwarder simulator. Two individuals without any practical training and two individuals with experience in the control of the crane took the measurements. The monitoring included eight different performance indicators. The use of the IBC system allowed the untrained operators to increase their work output by 27. With the use of the IBC system, these individuals also showed 53% fewer direct damages to the machine. However, our findings show that the length of experience influenced the performance of the operators out of all the monitored indicators. Notwithstanding that fact, the use of the IBC system has a direct positive influence on the economy of the machine operation.
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来源期刊
CiteScore
5.20
自引率
12.50%
发文量
23
审稿时长
>12 weeks
期刊介绍: Croatian Journal of Forest Engineering (CROJFE) is a refereed journal distributed internationally, publishing original research articles concerning forest engineering, both theoretical and empirical. The journal covers all aspects of forest engineering research, ranging from basic to applied subjects. In addition to research articles, preliminary research notes and subject reviews are published. Journal Subjects and Fields: -Harvesting systems and technologies- Forest biomass and carbon sequestration- Forest road network planning, management and construction- System organization and forest operations- IT technologies and remote sensing- Engineering in urban forestry- Vehicle/machine design and evaluation- Modelling and sustainable management- Eco-efficient technologies in forestry- Ergonomics and work safety
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