跨尺度人类行为在实现车间数字孪生中的建模与应用

Digital Twin Pub Date : 2021-12-14 DOI:10.12688/digitaltwin.17404.1

Ting-Feng Liu, Mengming Xia, Qing Hong, Yifeng Sun, Pei Zhang, Liang Fu, Ke Chen

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引用次数: 1

摘要

数字双车间作为实现车间数字化、智能化升级的重要途径，受到了制造业的广泛关注。作为车间的关键部分，人类的高度自主性和不确定性导致了人类行为的数字孪生建模的困难。因此，以宏观行为和微观行为虚拟模型的数据融合为动力，开发了数字双车间跨尺度人类行为建模系统。车间人的宏观行为主要是指人的角色及其实时位置。车间微观行为主要是指实时的人体肢体姿势和工作站上的生产行为。在本研究中，我们回顾并总结了一套用于数字双车间跨尺度人类行为建模的理论体系。基于这一理论体系，我们从宏观行为和微观行为两个方面回顾了建模理论和技术，分析了车间人类行为建模的研究现状。最后，我们对跨尺度的人类行为建模在数字双车间中的应用进行了讨论并提出了意见。跨尺度的人类行为建模是实现数字双车间人类行为闭环交互驱动的关键。

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The modelling and application of cross-scale human behavior in realizing the shop-floor digital twin

The digital twin shop-floor has received much attention from the manufacturing industry as it is an important way to upgrade the shop-floor digitally and intelligently. As a key part of the shop-floor, humans' high autonomy and uncertainty leads to the difficulty in digital twin modeling of human behavior. Therefore, the modeling system for cross-scale human behavior in digital twin shop-floors was developed, powered by the data fusion of macro-behavior and micro-behavior virtual models. Shop-floor human macro-behavior mainly refers to the role of the human and their real-time position. Shop-floor micro-behavior mainly refers to real-time human limb posture and production behavior at their workstation. In this study, we reviewed and summarized a set of theoretical systems for cross-scale human behavior modeling in digital twin shop-floors. Based on this theoretical system, we then reviewed modeling theory and technology from macro-behavior and micro-behavior aspects to analyze the research status of shop-floor human behavior modeling. Lastly, we discuss and offer opinion on the application of cross-scale human behavior modeling in digital twin shop-floors. Cross-scale human behavior modeling is the key for realizing closed-loop interactive drive of human behavior in digital twin shop-floors.

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来源期刊

Digital Twin digital twin technologies-

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发文量

期刊介绍： Digital Twin is a rapid multidisciplinary open access publishing platform for state-of-the-art, basic, scientific and applied research on digital twin technologies. Digital Twin covers all areas related digital twin technologies, including broad fields such as smart manufacturing, civil and industrial engineering, healthcare, agriculture, and many others. The platform is open to submissions from researchers, practitioners and experts, and all articles will benefit from open peer review.  The aim of Digital Twin is to advance the state-of-the-art in digital twin research and encourage innovation by highlighting efficient, robust and sustainable multidisciplinary applications across a variety of fields. Challenges can be addressed using theoretical, methodological, and technological approaches. The scope of Digital Twin includes, but is not limited to, the following areas:  ● Digital twin concepts, architecture, and frameworks ● Digital twin theory and method ● Digital twin key technologies and tools ● Digital twin applications and case studies ● Digital twin implementation ● Digital twin services ● Digital twin security ● Digital twin standards Digital twin also focuses on applications within and across broad sectors including: ● Smart manufacturing ● Aviation and aerospace ● Smart cities and construction ● Healthcare and medicine ● Robotics ● Shipping, vehicles and railways ● Industrial engineering and engineering management ● Agriculture ● Mining ● Power, energy and environment Digital Twin features a range of article types including research articles, case studies, method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.