A Digital Twin Framework for Real-Time Analysis and Feedback of Repetitive Work in the Manual Material Handling Industry
A Digital Twin Framework for Real-Time Analysis and Feedback of Repetitive Work in the Manual Material Handling Industry
复制标题
用于手动物料搬运行业重复性工作实时分析和反馈的数字孪生框架
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
S. Aslan
中科院分区：
文献类型：
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作者：
Abhimanyu Sharotry;Jesús A. Jiménez;David C. Wierschem;F. A. M. Mediavilla;Rachel M. Koldenhoven;Damian Valles;G. Koutitas;S. Aslan
本研究提出了一个数字孪生概念和原型来代表物料搬运行业中的人类操作员。为了构建数字孪生，我们使用基于仿真的框架进行数据收集和分析。该框架由三个模块组成：数据采集模块、操作员分析与反馈模块和数字孪生模块。动作捕捉系统有助于数字孪生的发展，它捕获模拟的材料处理活动，类似于在实际环境中发生的活动。本文概述了数字孪生的开发过程，并总结了试点实验的结果，以分析操作员在完成与起重任务相关的重复性动作时的疲劳情况。在本研究中，疲劳是关节角度变化的函数。基于数字孪生的工具可实时向作业者提供反馈，以纠正可能对作业者造成伤害的因素。
This research presents a digital twin concept and prototype to represent human operators in the material handling industry. To construct the digital twin, we use a simulation-based framework for data collection and analysis. The framework consists of three modules: Data Collection Module, Operator Analysis and Feedback Module and Digital Twin Module. A motion capture system assists in the development of the digital twin, which captures simulated material handling activities, similar to those which take place in an actual environment. This paper outlines the processes involved in the development of the digital twin and summarizes the results of pilot experiments to analyze the operator’s fatigue as the operator completes repetitive motions associated with lifting tasks. Fatigue, in this study, is a function of change in joint angles. The digital-twin based tool provides feedback to the operator in real-time to enable correction of those factors which potentially cause injuries to the operator.