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Unpowered drywall lifting device: Characterization of load reduction while lifting drywall in the construction environment.

机译:无动力石膏板吊装设备:在施工环境中提升石膏板时减少负荷的特性。

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摘要

The drywall trade is the 4th most hazardous in the construction industry, with a worker injury rate 4 times that of the industry average. On a daily basis, workers are exposed to slips, falls, and falling objects, in addition to the large and awkward loads they must carry. Drywall sheets can weigh more than 100 lb and be catastrophic to the health of the installer's shoulders and lower back.;For this study, an unpowered lift assist device was developed to carry the load of a drywall sheet during the installation process. The device takes the form of a polar robot similar to a camera jib and allows the installer to move sheets effortlessly through the workspace. Initial calculations indicated a nearly 63% reduced weight in the user's hands.;A testing regimen was developed to simulate a drywall installer's most hazardous lifting motions. These lifting motions were repeated both with and without the device for comparison. During these lifting motions, test subjects were fitted with electromyography (EMG) sensors on four lumbar muscles to measure muscle activation. Mean, peak, and effort data for the lifting exercises were extracted and compared to the unassisted lift.;Test data revealed overall muscle activation across all four muscle groups on both lifting motions was reduced by 69%. These data support the effectiveness of the device and warrant future development of such a device.
机译:干墙贸易是建筑行业中第四大危险行业,工人的伤害率是行业平均水平的四倍。每天,工人除了必须承受巨大而笨拙的载荷外,还容易滑倒,跌落和掉落。干墙板的重量可能超过100磅,并且对安装人员的肩膀和下背部的健康造成灾难性的影响;该研究开发了一种无动力的提升辅助装置,以在安装过程中承受干墙板的负荷。该设备采用类似于照相机臂架的极地机器人的形式,允许安装人员轻松地将纸张移动通过工作区。初步计算表明,用户手中的重量减少了近63%。;开发了一种测试方案来模拟石膏板安装人员最危险的举升动作。在有和没有比较装置的情况下都重复了这些举升运动。在这些举升运动中,测试对象在四块腰部肌肉上安装了肌电图(EMG)传感器,以测量肌肉的激活情况。提取举重练习的均值,峰值和努力数据,并将其与无助举举进行比较。;测试数据显示,在两个举重运动中,所有四个肌肉组的总体肌肉激活均降低了69%。这些数据支持该设备的有效性,并保证了这种设备的未来发展。

著录项

  • 作者

    Eilertsen, Mark Allen.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Engineering.;Occupational safety.;Robotics.
  • 学位 M.S.
  • 年度 2016
  • 页码 79 p.
  • 总页数 79
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:47:51

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