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Research on Fatigue Monitoring of Forklift Driver Driving in an Automobile Enterprise

机译:汽车企业驾驶叉车驾驶疲劳监测研究

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In order to monitor the driving fatigue of forklift drivers in automobile enterprises and improve the driving operations of forklift drivers, a third-class forklift driver in the automobile assembly shop of a certain company was used as the research object to conduct a driving fatigue monitoring study. The subjective monitoring uses the questionnaire of basic conditions of forklift drivers and the questionnaire of subjective feelings of forklift drivers' operating fatigue to determine the causes of fatigue, symptoms and changes in symptoms of forklift drivers. Objective monitoring uses an EEG signal analysis method to monitor and record the EEG signals of the forklift driver during each working period, and use EEGLAB to analyze the driver's S wave spectrum chart. Taking the unloading driver as an example, the driving fatigue time and fatigue degree are analyzed and judged from two perspectives: subjective and objective. The results show that the driving fatigue of the forklift driver is obvious, and it is difficult to recover effectively. The forklift driver is in a state of severe fatigue while driving.
机译:为了监测汽车企业叉车司机的驾驶疲劳,提高叉车司机的驾驶运营,一家汽车组装商店中的三类叉车司机被用作进行驾驶疲劳监测研究的研究对象。主观监测使用叉车司机的基本条件调查问卷和主观感受的叉车司机的主观感受的作用疲劳,以确定疲劳,症状和叉车症状症状变化的原因。客观监控使用EEG信号分析方法在每个工作期间监控和记录叉车驱动器的EEG信号,并使用EEGLAB分析驾驶员的波谱图。以卸载驱动器为例,分析了驾驶疲劳时间和疲劳度,并从两个观点判断:主观和目标。结果表明,叉车驾驶员的驱动疲劳是显而易见的,并且很难有效地恢复。叉车驾驶员在驾驶时处于严重疲劳状态。

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