考虑疲劳效应的多目标优化概率预测分析方法及应用实例
Multi-Objective Optimisation Method for Posture Prediction and Analysis with Consideration of Fatigue Effect and its Application Case
摘要：
自动化技术已广泛应用于制造业，但在工业中仍有装配和维修工作需要人工操作。不适当的姿势和身体疲劳可能会导致肌肉骨骼疾病（MSD）在这些体力工作。在人机工程学和职业生物力学中，虚拟人建模技术已被用于在设计阶段设计和优化手动操作，以避免或减少潜在的MSD风险。在这些方法中，身体疲劳仅被认为是最小化肌肉或关节应力，而对姿势随时间的疲劳效应考虑不够。在这项研究中，在现有的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，用于预测最佳姿势和评估体力疲劳的手工处理操作。本文对姿态预测和分析问题进行了数学描述，并以欧洲航空防务航天公司（EADS）的一个钻井装配作业为例进行了分析。
英文摘要：
Automation technique has been widely used in manufacturing industry, but there are still manual handling operations required in assembly and maintenance work in industry. Inappropriate posture and physical fatigue might result in musculoskeletal disorders (MSDs) in such physical jobs. In ergonomics and occupational biomechanics, virtual human modelling techniques have been employed to design and optimize the manual operations in design stage so as to avoid or decrease potential MSD risks. In these methods, physical fatigue is only considered as minimizing the muscle or joint stress, and the fatigue effect 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 the optimal posture and evaluating the physical fatigue in the manual handling operation. The posture prediction and analysis problem is mathematically described and a special application case is demonstrated for analyzing a drilling assembly operation in European Aeronautic Defence & Space Company (EADS) in this paper.
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。
