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Multi-Objective Optimisation Method for Posture Prediction and Analysis with Consideration of Fatigue Effect and its Application Case

机译:姿态预测与分析的多目标优化方法   考虑疲劳效应及其应用案例

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摘要

Automation technique has been widely used in manufacturing industry, butthere are still manual handling operations required in assembly and maintenancework in industry. Inappropriate posture and physical fatigue might result inmusculoskeletal disorders (MSDs) in such physical jobs. In ergonomics andoccupational biomechanics, virtual human modelling techniques have beenemployed to design and optimize the manual operations in design stage so as toavoid or decrease potential MSD risks. In these methods, physical fatigue isonly considered as minimizing the muscle or joint stress, and the fatigueeffect along time for the posture is not considered enough. In this study,based on the existing methods and multiple objective optimisation method (MOO),a new posture prediction and analysis method is proposed for predicting theoptimal posture and evaluating the physical fatigue in the manual handlingoperation. The posture prediction and analysis problem is mathematicallydescribed and a special application case is demonstrated for analyzing adrilling assembly operation in European Aeronautic Defence & Space Company(EADS) in this paper.
机译:自动化技术已在制造业中广泛使用,但是在工业中的组装和维护工作中仍然需要人工操作。不适当的姿势和身体疲劳可能会在此类体力劳动中导致肌肉骨骼疾病(MSD)。在人体工程学和职业生物力学中,已采用虚拟人体建模技术来设计和优化设计阶段的手动操作,从而避免或降低潜在的MSD风险。在这些方法中,仅将身体疲劳视为使肌肉或关节压力最小化,并且对于姿势的时间疲劳效应还不够。本文在现有方法和多目标优化方法(MOO)的基础上,提出了一种新的姿势预测和分析方法,用于预测最佳姿势并评估人工操作中的身体疲劳程度。本文对姿态预测和分析问题进行了数学描述,并给出了一个特殊的应用案例,用于分析欧洲航空防务与航天公司(EADS)的钻探装配操作。

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