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基于虚拟人的人体整体静态生物力学模型研究。

Study on Static Biomechanical Model of Whole Body Based on Virtual Human.

机构信息

Institute of Computer Application, China Academy of Engineering Physics, Mianyang 621900, China.

Mobile Computing Center, University of Electronic Science and Technology of China, Chengdu 611731, China.

出版信息

Sensors (Basel). 2024 Oct 10;24(20):6504. doi: 10.3390/s24206504.

DOI:10.3390/s24206504
PMID:39459986
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11511185/
Abstract

Material handling tasks often lead to skeletal injury of workers. The whole-body static biomechanical modeling method based on virtual humans is the theoretical basis for analyzing the human factor index in the lifting process. This paper focuses on the study of humans' body static biomechanical model for virtual human ergonomics analysis: First, the whole-body static biomechanical model is constructed, which calculates the biomechanical data such as force and moment, average strength, and maximum hand load at human joints. Secondly, the prototype model test system is developed, and the real experiment environment is set up with the inertial motion capture system. Finally, the model reliability verification experiment and application simulation experiment are designed. The comparison results with the industrial ergonomic software show that the model is consistent with the output of the industrial ergonomic software, which proves the reliability of the model. The simulation results show that under the same load, the maximum joint load and the maximum hand load are strongly related to the working posture, and the working posture should be adjusted to adapt to the load. Upright or bent legs have less influence on the maximum load capacity of the hand. Lower hand load capacity is due to forearm extension, and the upper arm extension greatly reduces the load capacity of the hand. Compared with a one-handed load, the two-handed load has a greater load capacity.

摘要

物料搬运任务常常导致工人骨骼受伤。基于虚拟人的全身静态生物力学建模方法是分析提升过程中人因指标的理论基础。本文专注于虚拟人体工程学分析中人体静态生物力学模型的研究:首先,构建全身静态生物力学模型,计算人体关节处的生物力学数据,如力和力矩、平均强度和最大手部负荷。其次,开发原型模型测试系统,并利用惯性运动捕捉系统设置真实实验环境。最后,设计模型可靠性验证实验和应用模拟实验。与工业人体工程学软件的比较结果表明,模型与工业人体工程学软件的输出一致,证明了模型的可靠性。模拟结果表明,在相同的负载下,最大关节负荷和最大手部负荷与工作姿势密切相关,应调整工作姿势以适应负载。直立或弯曲腿部对手部最大承载能力的影响较小。较低的手部承载能力是由于前臂伸展引起的,而上臂伸展会大大降低手部的承载能力。与单手负荷相比,双手负荷具有更大的承载能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/10d1f09f023c/sensors-24-06504-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/ebf8a01aa797/sensors-24-06504-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/16ff0813c799/sensors-24-06504-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/8b352bc30579/sensors-24-06504-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/4d09945c09e6/sensors-24-06504-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/54d5af92a178/sensors-24-06504-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/e7bbe07b8ad6/sensors-24-06504-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/b0fed9b676a9/sensors-24-06504-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/10d1f09f023c/sensors-24-06504-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/ebf8a01aa797/sensors-24-06504-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/16ff0813c799/sensors-24-06504-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/8b352bc30579/sensors-24-06504-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/4d09945c09e6/sensors-24-06504-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/54d5af92a178/sensors-24-06504-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/e7bbe07b8ad6/sensors-24-06504-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/b0fed9b676a9/sensors-24-06504-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b566/11511185/10d1f09f023c/sensors-24-06504-g008.jpg

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