基于工作周期的最大可接受力度的预测方程,用于重复的反复涉及的任务
Niromand Jasimi Zindashti1, Karla Beltran Martinez1, Ali Golabchi2
1Department of Mechanical Engineering, University of Alberta, Edmonton, AB, T6G 1H9, Canada.
Journal of safety research
|February 22, 2025
概括
对于涉及背后重复任务的新方程式表明,更高的任务周期需要更低的最大可接受力度 (MAE),以防止工人疲劳. 这一发现有助于减少工作场所的伤害和成本.
科学领域:
- 人体工程学和职业健康学
- 生物力学 生物力学
- 工作场所安全工程工作场所安全工程
背景情况:
- 工作场所任务的复杂性各不相同,需要根据姿势,任务类型和重复性来评估身体的努力.
- 之前的研究集中在提升,降低和携带任务上,以了解最大可接受的负载.
- 开发用于重复的背后涉及的任务的预测模型对于工人的福祉至关重要.
研究的目的:
- 开发一种新的方程,用于估计在重复的背后涉及的任务中最大可接受的努力 (MAE).
- 建立MAE和这些任务的任务周期之间的关系.
- 为评估和减轻工作场所物理压力的个人提供特定工具.
主要方法:
- 收集和分析现有关于手工物料处理的研究中的心理物理数据.
- 计算了各种涉及后台任务的任务周期.
- 进行统计分析,以根据不同的参数和现有模型验证开发的方程.
主要成果:
- 在工作周期和MAE之间发现了显著的负相关性.
- 开发的方程与上肢任务的现有模型有很大的相似之处.
- 统计分析证实了该方程与性别,任务性质和负载参数等因素的独立性.
结论:
- 增加工作周期需要减少MAE以防止疲劳和受伤.
- 新方程式提供了一个个性化的方法来MAE估计重复的背后任务.
- 实施可以减少工人疲劳,减少伤害和降低相关成本.
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