Aircraft final assembly line modeling based on digital twin

被引：4
|
作者：
Zheng S.-G. [1 ]
Zhang Y.-D. [2 ]
Xie W.-T. [1 ]
Fan H. [2 ]
Wang Q. [1 ]
机构：
[1] Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province, College of Mechanical Engineering, Zhejiang University, Hangzhou
[2] Xi'an Aircraft Industrial (Group) Co. Ltd, Xi'an
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2021年 / 55卷 / 05期
关键词：
Aircraft final assembly; Cyber-physical fusion; Digital twin technology; Virtual-real mapping; WebGL;
D O I：
10.3785/j.issn.1008-973X.2021.05.005
中图分类号：
学科分类号：
摘要：
The components of the aircraft assembly line and the business logic were analyzed, and a digital twin based modeling framework for the aircraft assembly line was proposed, in order to realize the real-time interaction and deep integration of physical space and information space in the final assembly line of aircraft manufacturers. The modeling and the implementation of the key elements of assembly line were elaborated from the six-dimensional perspective of "human, machine, material, method, environment, and measurement". Correspondingly, the technical process of the three-dimensional visualization and the information integration platform of the aircraft assembly line was proposed. A three-dimensional digital model of the workshop was established in CATIA. Then, a virtual space was built up based on the browser-based framework and WebGL technology and the real-time mapping of physical entities to virtual space was achieved by collecting process data from the shop-floor. An aircraft final assembly line was taken as an example, the synchronous mapping between the assembly workshop and virtual visualization, webServices service and information query service were realized, which improves the assembly efficiency and can provide scientific references for manual decision. Copyright ©2021 Journal of Zhejiang University (Engineering Science). All rights reserved.
引用
收藏
页码：843 / 854
页数：11
相关论文
共 23 条
  • [11] FOURGEAU E, GOMEZ E, ADLI H, Et al., System engineering workbench for multi-views systems methodology with 3D experience platform: the aircraft radar use case, Complex Systems Design and Management Asia, (2016)
  • [12] ZHUANG Cun-bo, LIU Jian-hua, XIONG Hui, Et al., The connotation, architecture and development trend of product digital twin, Computer Integrated Manufacturing System, 23, 4, pp. 753-768, (2017)
  • [13] GREYCE N S, CHARLES D, CARLOS E P, Et al., Digital twin data modeling with AutomationML and a communication methodology for data exchange, IFAC-Papers Online, 49, 30, pp. 12-17, (2016)
  • [14] GRIEVES M, VICKERS J., Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems, Transdisciplinary Perspectives on Complex Systems, (2017)
  • [15] LI C C, MAHADEVAN S, LING Y, Et al., Dynamic bayesian network for aircraft wing health monitoring digital twin, AIAA Journal, 55, 3, pp. 930-941, (2017)
  • [16] KAZI M A, ABDULMOTALEB E S., C2PS: a digital twin architecture reference model for the cloud-based CPS, IEEE Access, 5, pp. 2050-2062, (2017)
  • [17] ZHENG Y, YANG S, CHENG H C., An application framework of digital twin and its case study, Journal of Ambient Intelligence and Humanized Computing, 10, 3, pp. 1141-1153, (2019)
  • [18] TAO Fei, LIU Wei-ran, ZHANG Meng, Et al., Five dimension digital twin model and its ten applications, Computational Integrated Manufacturing System, 25, 1, pp. 1-18, (2019)
  • [19] TAO Fei, ZHANG Meng, CHENG Jiang-feng, Et al., Digital twin workshop: anew mode of workshop operation in the future, Computational Integrated Manufacturing System, 23, 1, pp. 1-9, (2017)
  • [20] TAO Fei, LIU Wei-ran, LIU Jian-hua, Et al., Digital twin and its potential application exploration, Computational Integrated Manufacturing System, 24, 1, pp. 1-18, (2018)
123