一种可量化的综合评估方法,结合光学运动捕捉和模拟 - - 评估特殊车的布局设计
Sen Gu1,2, Tianyi Zhang1,2, Hanyu Wang3,4
1School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
这项研究引入了一种使用移动捕获和模拟的新方法来评估驾驶人体工程学. 在一个案例研究中,数据驱动的方法显著提高了操作员的舒适性和控制可访问性.
科学领域:
- 人类因素工程
- 职业人体工程学
- 车辆的设计
背景情况:
- 专门的车辆驾驶的工程学评估通常是昂贵的,主观的或分散的.
- 现有的方法可能会导致"信息孤岛"问题,限制全面评估.
- 需要一种可量化的客观方法来对复杂的人机系统进行人体工程学评估.
研究的目的:
- 提出和验证专用车辆驾驶的可量化,全面的评估方法.
- 将多个人体工程学工具整合到一个单一的客观分数中.
- 证明该方法在提高操作员舒适度和减少身体疲劳方面的实用性.
主要方法:
- 将光学运动捕获与动态姿势数据采集与模拟相结合.
- 在动作捕获数据驱动的虚拟环境中使用数字人体模型.
- 实施一个新的评估框架,将六种人体工程学工具与多标准权重模型相结合.
主要成果:
- 一个关于飞机驾驶重新设计的案例研究显示,整体人体工程学得分显著提高 (0.422至0.277).
- 在重新设计后,关键控制的可访问性增加了40%.
- 在部,肩部和腰部地区观察到显著的肌电图 (EMG) 信号减少.
结论:
- 拟议的数据驱动方法为客观设计和定制人机系统的评估提供了一种创新方法.
- 这种方法有效地减少了身体的压力,并提高了操作者的舒适度.
- 这种方法在各种复杂的工业环境中优化人体工程学的广泛应用.
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