期刊
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
卷 34, 期 7-8, 页码 752-763出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0951192X.2020.1736637
关键词
Digital twin; online inspection system; online detection; data real-time mapping
类别
资金
- Shanghai Key lab of Advanced Manufacturing Environment
- Ministry of Industry and Information Technology of China [[2017]614-9]
- Aerospace Science and Technology Joint Fund [6141B06310301]
This paper investigates the application of digital twin technology in the online inspection system for geometric features of automotive body-in-white, proposing a three-level virtual modeling approach and designing a three-layer communication architecture. A digital twin system for online inspection of geometric features of body-in-white has been developed based on physical experimental platform and intelligent manufacturing software platform.
With the development of digital twin, the research on the fusion of intelligent manufacturing system and digital twin technology attracts more attention. In this paper, the realization of digital twin is studied for geometric feature online inspection system of body-in-white (BIW). A three-level virtual modeling approach of Element-Behavior-Rule is proposed for the physical environment modeling in a digital environment. An element model, behavior model and rule model are defined, respectively, and the relationship among the three-layer model is given for real-time communication. A three-layer communication architecture of the digital twin system is designed for the real-time mapping between physical and virtual space, and the process of the online inspection digital twin system is analyzed. Finally, on the basis of the online inspection physical experimental platform and JHIM (Jiangheng Intelligent Manufacturing) software platform, the digital twin system for geometric feature online inspection of BIW is developed, which shows that the virtual model can be driven in real time by real-time physical inspection data. Digital twin technology provides a feasible way for real-time monitoring of the online inspection system.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据