可穿戴的智能手套用于优化机械机械机器拆卸和组装的分析和组装
Chin-Shan Chen1, Hung Wei Chang1, Bo-Chen Jiang1
1Department of Mechanical Engineering, National Pingtung University of Science and Technology, Pingtung 912301, Taiwan.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
本研究介绍了一种带有力传感器和惯性测量单元 (IMU) 的智能手套系统,用于监控拆卸和组装 (D/A) 任务. 确定了工作台的最佳高度,将操作员的体力劳动减少了高达35%.
科学领域:
- 工业工程 工业工程 工业工程
- 人类因素工程 人类因素工程
- 可穿戴技术可穿戴技术
背景情况:
- 智能制造需要实时操作监控,以提高质量和效率.
- 传统的拆卸和组装 (D/A) 方法缺乏定量数据和即时性.
- 操作员行为分析对于优化工业流程至关重要.
研究的目的:
- 开发一种可穿戴设备,集成薄膜力传感器和惯性测量单元 (IMU),用于D/A任务监控.
- 分析操作员的行为特征,包括D/A任务期间的手势,动作和力量应用.
- 为优化D/A程序和工作空间设计建立定量基础.
主要方法:
- 在D/A实验期间,操作人员佩戴配备了17个IMU传感器的智能手套.
- 实验涉及在不同高度的工作台上进行标准化的D/A运动.
- 收集的动力和力数据被分析,以确定运动模式和优化性能.
主要成果:
- 开发的系统有效地识别了各种D/A运动,操作员力变化和运动模式.
- 最佳的工作台高度被确定为站立操作人员的肘部高度以上5-10厘米.
- 在最佳工作台高度观察到显著的体力减轻 (14.39%35.26%).
结论:
- 可穿戴传感器系统为智能工厂的D/A行为监控和运营优化提供了宝贵的数据.
- 结果为最佳路径规划,D/A序列以及人体工程学的工作台高度设计提供了参考.
- 该技术支持员工培训,绩效提高和自动化即时反系统的开发.
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