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arXiv 0901.0222cs.RO
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虚拟工作环境中的动态肌肉疲劳评估

Dynamic Muscle Fatigue Evaluation in Virtual Working Environment

Institut de Recherche en Communications et en Cybernétique de Nantes(南特通信与控制研究所);École Centrale de Nantes(南特中央理工学院);Tsinghua University(清华大学)

Liang Ma, Damien Chablat, Fouad Bennis, Wei Zhang

摘要:

肌肉骨骼疾病(MSD)是机械作业特别是手工操作作业中的主要健康问题之一。肌肉疲劳被认为是导致MSD的主要原因。目前,已有多种姿态分析技术用于揭示作业的MSD风险,但大多数常规方法仅适用于静态姿态分析。同时,检查人员的主观影响也会导致风险评估结果的差异。另一个缺点是评估必须在车间进行,因此在现场环境中进行数据汇集之前不可能避免一些设计缺陷,并且这是耗时的。为了提高工效学MSD风险评估的效率,避免主观因素的影响,本文提出了一种新的肌肉疲劳模型和一种新的疲劳指数,用于评估人工搬运作业中人体肌肉的疲劳。新的疲劳模型与工作过程中的肌肉负荷密切相关,可以用来评价动态工作过程。该肌肉疲劳模型经过数学验证,并将进一步进行实验验证,并集成到虚拟工作环境中,以快速客观地评估肌肉疲劳并预测MSD风险。

英文摘要:

Musculoskeletal disorder (MSD) is one of the major health problems in mechanical work especially in manual handling jobs. Muscle fatigue is believed to be the main reason for MSD. Posture analysis techniques have been used to expose MSD risks of the work, but most of the conventional methods are only suitable for static posture analysis. Meanwhile the subjective influences from the inspectors can result differences in the risk assessment. Another disadvantage is that the evaluation has to be taken place in the workshop, so it is impossible to avoid some design defects before data collection in the field environment and it is time consuming. In order to enhance the efficiency of ergonomic MSD risk evaluation and avoid subjective influences, we develop a new muscle fatigue model and a new fatigue index to evaluate the human muscle fatigue during manual handling jobs in this paper. Our new fatigue model is closely related to the muscle load during working procedure so that it can be used to evaluate the dynamic working process. This muscle fatigue model is mathematically validated and it is to be further experimental validated and integrated into a virtual working environment to evaluate the muscle fatigue and predict the MSD risks quickly and objectively.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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