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装配线上EAWS人体工程学分析评估：Xsens与人工专家方法——案例研究

Evaluation of the EAWS Ergonomic Analysis on the Assembly Line: Xsens vs. Manual Expert Method-A Case Study.

作者信息

Breznik Matic, Buchmeister Borut, Vujica Herzog Nataša

机构信息

BSH Nazarje, Savinjska cesta 30, 3331 Nazarje, Slovenia.

Faculty of Mechanical Engineering, University of Maribor, Smetanova ulica 17, 2000 Maribor, Slovenia.

出版信息

Sensors (Basel). 2025 Jul 23;25(15):4564. doi: 10.3390/s25154564.

DOI:10.3390/s25154564
PMID:40807731
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12349331/
Abstract

This study investigates the effectiveness of the Xsens motion capture system in performing ergonomic analysis compared to traditional manual assessments by experts in the specific environment of assembly lines. A comprehensive literature review emphasizes the need to investigate the reliability of new, promising high-tech systems. The main objective was therefore to compare the Ergonomic Assessment Worksheet (EAWS) assessment approach performed with Xsens motion capture technology and Process Simulate V16 software with the manual method using EAWS digital prepared by experts in the controlled workflow. The greatest value of the research conducted lies in the novel integration of the state-of-the-art Xsens motion capture technology with the Process Simulate V16 software environment and the use of the licensed EAWS ergonomic method and Methods-Time Measurement Universal Analyzing System (MTM-UAS). The results are presented in the form of a case study. The results show a large similarity between the whole-body results and a large difference in the upper limb results, confirming the initial benefits of the Xsens equipment but also pointing to the need to verify its reliability on larger samples. The study highlights the potential of integrating Xsens motion capture data into ergonomic assessments and tuning of the assembly line to increase productivity and worker safety.

摘要

本研究调查了Xsens运动捕捉系统在装配线特定环境中与专家传统手动评估相比进行人体工程学分析的有效性。全面的文献综述强调了研究新的、有前景的高科技系统可靠性的必要性。因此，主要目标是将使用Xsens运动捕捉技术和Process Simulate V16软件执行的人体工程学评估工作表（EAWS）评估方法与在受控工作流程中由专家编制的EAWS数字版的手动方法进行比较。所开展研究的最大价值在于将最先进的Xsens运动捕捉技术与Process Simulate V16软件环境进行了新颖的整合，并使用了经许可的EAWS人体工程学方法和方法时间测量通用分析系统（MTM-UAS）。结果以案例研究的形式呈现。结果表明，全身结果之间有很大相似性，而上肢结果有很大差异，这既证实了Xsens设备的初步优势，也表明需要在更大样本上验证其可靠性。该研究突出了将Xsens运动捕捉数据整合到人体工程学评估以及调整装配线以提高生产率和工人安全性方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0170/12349331/a1321e767e43/sensors-25-04564-g011.jpg
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