人体工程学、数字孪生和时间测量,以实现最佳工作场所设计

Nataša Vujica-Herzog, B. Buchmeister, Matic Breznik
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引用次数: 1

摘要

工效学和人因学都被定义为一门科学学科,关注于理解工人和系统中其他元素之间的相互作用。在工业工程中,工人是系统的组成部分,在产品/生产的开发阶段以及生产技术的规划中,实施人体工程学是非常重要的。在大规模生产中,特别是在装配线中,人与机器之间的相互作用可能非常激烈,因此是过程优化的重点。此外,适当的工作场所设计对工人有长期的影响。众所周知,它可以预防肌肉骨骼疾病,提高生产力,降低生产成本。作为当前工业4.0 (I4.0)趋势的一部分,传统的工作场所设计方法正与传感器、计算平台、通信技术、控制、仿真、数据密集型建模和预测工程等“智能”范式交织在一起。因此,企业必须了解工业4.0概念的巨大潜力,并利用其优势,从机器主导的制造转向数字制造。这些技术为我们提供了在虚拟场景中重现工作环境的可能性,在虚拟场景中可以模拟手动任务,评估人体工程学指标并同时执行时间分析。使用人体工程学模拟软件的想法并不新鲜。欧洲过去曾做过几次尝试。从DELTA的ERGOMAS开始,ERGOMan系统,西门子Jack和最近的Process模拟,都可能由Xsens套装支持。考虑到工业4.0范式,我们研究了从1994年到现在开发的特色计算平台,以跟踪其进展和变化。在仿真方面,随着任务仿真构建器接口的发展取得了最大的进展,随后随着运动捕捉传感器技术的发展迈出了重要的一步。例如,对于装配线,使用经典的MTM方法和EAWS方法开发了设置工作时间的集成方法。有了这些技术和积累的知识,设计过程发生了迅速的变化,一些已发表的论文显示了计算机辅助方法在时间分析方面的好处。基于上述事实,问题出现了:计算机辅助方法与人体工程学相结合能否取代现有的标准化时间确定方法?在我们的研究中,我们使用两个最新的平台,西门子Jack和Process simulation结合Xsens suit进行了一个工作场所设计的案例研究。我们设计了一个人机协作的工作场所作为数字双胞胎,并在我们的实验室对6名受试者进行了人体测量测试。将人体运动转换为计算机软件,采用OWAS分析进行工效学分析,MTM方法进行时序分析。所进行的研究结果将有助于我们评估用两种不同的计算机平台进行的类似方法,并回答所提出的平台在时间分析方面的有用性和可靠性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ergonomics, digital twins and time measurements for optimal workplace design
Ergonomics and Human Factors are both defined as a scientific discipline concerned with understanding the interactions between workers and other elements of a system. The implementation of ergonomics in industrial engineering, where workers are an integral part of the system, is very important in the development phase of the product/production and also in the planning of production technologies. The interaction between man and machine can be very intense in mass production, especially in assembly lines, and is therefore the focus of process optimization. In addition, appropriate workplace design has long-term effects on the worker. It is well known that it can prevent musculoskeletal complaints, increase productivity and reduce production costs.As part of the current trend of Industry 4.0 (I4.0), the traditional approach to workplace design is becoming intertwined with "smart" paradigms such as sensors, computing platforms, communication technology, control, simulation, data-intensive modelling, and predictive engineering. It is therefore important for companies to understand the great potential of the I4.0 concept and leverage its benefits in terms of moving from machine-dominated manufacturing to digital manufacturing.These technologies offer us the possibility to reproduce the work environment in a virtual scenario where it is possible to simulate manual tasks, evaluate ergonomic indices and perform time analysis at the same time. The idea of using ergonomic simulation software is not new. Several attempts have been made in Europe in the past. Starting with DELTA's ERGOMAS, ERGOMan systems, Siemens Jack and more recently Process simulate, both possibly supported by Xsens suit. With the I4.0 paradigm in mind, we examined the featured computing platforms developed from 1994 to the present to track the progress and changes made. For simulations, the most progress was made with the development of the Task Simulation Builder interface and later an important step was made with the development of sensor technology for motion capture. For example, for assembly lines, an integrated approach for setting working times was developed using the classical MTM approach and EAWS methods. With these technologies and accumulated knowledge, the design process changed rapidly and several published papers show the benefits of computer-aided approaches also for timing analysis. Based on the presented facts, the question arose: can computer-aided approaches integrated with ergonomics replace the existing standardised approaches for time determination? In our research, a case study of workplace design was conducted using two of the latest platforms, Siemens Jack and Process Simulate in conjunction with Xsens suit. A collaborative human-robot workplace was designed as a digital twin and tested in our lab with 6 subjects considering their anthropometric measurements. The human movements were converted into computer software and evaluated using OWAS analysis for ergonomics and MTM method for timing. The results of the research carried out will help us to evaluate a similar approach carried out with two different computer platforms and to answer the question of the usefulness and reliability of the presented platforms also for time analysis.
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