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首页> 外文期刊>Journal of Construction Engineering and Management >3D Visualization-Based Ergonomic Risk Assessment and Work Modification Framework and Its Validation for a Lifting Task
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3D Visualization-Based Ergonomic Risk Assessment and Work Modification Framework and Its Validation for a Lifting Task

机译:基于3D可视化的人体工程学风险评估和工作修改框架及其对提升任务的验证

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The construction manufacturing industry in North America has a disproportionately high number of lost-time injuries because of the high physical demand of the labor-intensive tasks it involves. It is thus essential to investigate the physical demands of body movement in the construction manufacturing workplace to proactively identify worker exposure to ergonomic risk. This paper proposes a methodology to use three-dimensional (3D) skeletal modeling to imitate human body movement in an actual construction manufacturing plant for ergonomic risk assessment of a workstation. The inputs for the creation of an accurate and reliable 3D model are also identified. Through 3D modeling, continuous human body motion data can be obtained (such as joint coordinates and joint angles) for risk assessment analysis using existing risk assessment algorithms. The presented framework enables risk evaluation by detecting awkward body postures and evaluating the handled force/load and frequency that cause ergonomic risks during manufacturing operations. The results of the analysis are expected to facilitate the development of modified work to the workstation, which will potentially reduce injuries and workers' compensation insurance costs in the long term for construction manufacturers. The proposed framework can also be expanded to evaluate workstations in the design phase without the need for physical imitation by human subjects. In this paper, the proposed 3D visualization-based ergonomic risk assessment methodology is validated through an optical marker-based motion capture experiment for a lifting task in order to prove the feasibility and reliability of the framework. It is also compared to the traditional manual observation method. Three subjects are selected to conduct the experiment and three levels of comparison are completed: joint angles comparison, risk rating comparison for body segments, and Rapid Entire Body Assessment/Rapid Upper Limb Assessment (REBA/RULA) total risk rating and risk level comparison. (C) 2017 American Society of Civil Engineers.
机译:北美的建筑制造业因工时密集的劳动密集型需求而造成大量的误工伤亡。因此,必须调查建筑制造工作场所中身体运动的物理需求,以主动确定工人是否接触人体工程学风险。本文提出了一种方法,该方法使用三维(3D)骨骼建模来模仿实际建筑制造工厂中的人体运动,以进行工作站的人体工程学风险评估。还确定了用于创建准确可靠的3D模型的输入。通过3D建模,可以使用现有的风险评估算法获得连续的人体运动数据(例如关节坐标和关节角度)以进行风险评估分析。提出的框架可通过检测笨拙的身体姿势并评估在制造过程中造成人体工程学风险的承受力/负载和频率来进行风险评估。分析的结果有望促进对工作站的修改工作的发展,从长远来看,这将潜在地减少建筑制造商的伤害和工人补偿保险费用。所提出的框架还可以扩展为在设计阶段评估工作站,而无需人类对象的物理模仿。在本文中,通过基于光学标记的运动捕捉实验对提起任务进行了验证,从而验证了所提出的基于3D可视化的人体工程学风险评估方法,以证明该框架的可行性和可靠性。它也与传统的手动观察方法进行了比较。选择了三个对象进行实验,并完成了三个比较级别:关节角度比较,身体部分的风险等级比较以及快速整体身体评估/快速上肢评估(REBA / RULA)总风险等级和风险等级比较。 (C)2017年美国土木工程师学会。

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