Digital twin-based management method and application for the complex products assembly process

被引：0
|
作者：
Hu X. [1 ]
Liu J. [1 ]
Zhuang C. [1 ]
Wu Y. [1 ]
Zhang L. [1 ,2 ]
Xiong H. [1 ]
机构：
[1] Laboratory of Digital Manufacturing, School of Mechanical Engineering, Beijing Institute of Technology, Beijing
[2] School of Mechanical Engineering, Tianjin University of Commerce, Tianjin
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2021年 / 27卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Assembly process management and control; Complex product; Digital twin; Digital twin shop-floor; Quality prediction;
D O I：
10.13196/j.cims.2021.02.028
中图分类号：
学科分类号：
摘要：
Aiming at the issues including the real-time and comprehensive visual monitoring, the analysis and prediction of the operating status, an assembly process management and control method for complex products based on digital twin was proposed. A digital twin model for the assembly process management of the complex product was constructed. On this basis, the real-time collection and management of assembly process data was achieved based on workflow technology. Then, the real-time data-driven synchronized operation of the shop-floor digital twin was proposed. Afterwards, through combining application of grey Markov predictive model, T-K statistical control chart and association rule algorithm, the real-time prediction and analysis of small sample quality data in the assembly process of the complex product were realized. A digital twin-based assembly process management and control system for complex products was developed and verified in a satellite assembly shop-floor. © 2021, Editorial Department of CIMS. All right reserved.
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页码：642 / 653
页数：11
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