印度尼西亚操作员工作姿势和肌肉刺激在MALE级无人机准备中的地面控制站设计优化

Apid Rustandi, Aris Surya Yunata, Sherly Octavia Saraswati, Muhammad Mahsyaril Anwar, Irfansyah Yudhi Tanasa, F. A. Kaharjito, J. Muliadi
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摘要

无人驾驶飞行器(UAV)在无人驾驶的情况下飞行,但其任务必须完全由地面上的操作人员控制。因此,本文在为无人机操作员设计适当的工作空间以保证其空中任务的有效性方面显示出适应性。中高空长航时(MALE)是一类无人机,通常具有长时间作战的特点。对无人机地勤人员的初步评估发现,他们暴露于一个关键的工作负荷(即,推和拉一个重型工具)。为了进一步分析这一问题,通过建立5、82和95百分位样本人口的数字人体模型(DHM)进行预测,然后使用快速全身评估(REBA)对这些DHM进行分析。根据站立和伸展姿势测量了六名参与者的人体测量数据。该分析指的是几个活动,例如任务1:举起煤气罐;任务2:将气体倒入发电机;任务3:打开舱门。任务-1的REBA总分为11 ~ 12。任务2的得分为5%,REBA得分为13分,其余约为11分。任务3描述REBA分数在所有百分位数范围内都在11左右。
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Ground Control Station Design Optimization for Indonesian Operator Work Postures and Muscle Stimulation in Preparing the MALE Class UAV
An Unmanned Aerial Vehicle (UAV) flies without human on board but its mission must be fully controlled by the man operator on-ground below. Thus, this paper showed adaptation in designing a proper work space for UAV operators to ensure the effectiveness of its aerial mission. A Medium Altitude Long Endurance (MALE) is a class of UAV that often characterized to have a long period of operation time. Preliminary assessment on the ground crews of the UAV found that they are exposed to a critical workload (i.e., push and pull of a heavy tool). To further analyze this problem, a prediction was carried out by creating Digital Human Modeling (DHM) of 5, 82, and 95 percentiles of sample population, and these DHM then analyzed using Rapid Entire Body Assessment (REBA). Six participants were measured to represent anthropometry data based on Standing and Reaching posture. The analysis is referring to several activities, for instance Task-1: lifting gas cans; Task-2:pouring the gas to the generator ; Task-3: swinging the hatch. Total REBA scores for Task-1 at ranging percentiles showed 11 to 12. Task-2 highlights at 5%ile the REBA scored up to 13, and the rest about 11. Task-3 describes the REBA score around 11 at all ranging of percentiles.
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