Spacecraft assembly quality control and prediction technology based on digital twin

被引：0
|
作者：
Zhang J. [1 ,2 ]
Liu J. [1 ]
Gong K. [2 ]
Zhang C. [3 ]
Zhuang C. [1 ]
Zhao B. [2 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
[2] Beijing Spacecraft Co., Ltd., Beijing
[3] Sasicspace, Wuhan
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：
Data management; Digital twin; Quality control; Quality prediction; Spacecraft assembly;
D O I：
10.13196/j.cims.2021.02.025
中图分类号：
学科分类号：
摘要：
There are many uncertain factors in the assembly process of spacecraft, and the assembly personnel need to adjust the assembly strategy according to the changes at any time, which makes the final actual performance of spacecraft cannot be accurately and effectively predicted and evaluated. Therefore, a large number of complex performance tests were needed to verify the conformity of product performance indicators in the assembly process, which greatly affected the assembly efficiency. Aiming at the above problems, a method of spacecraft assembly quality online monitoring and prediction based on digital twin was proposed. The general process characteristics of spacecraft assembly execution level were analyzed. On this basis, the digital twin modeling method for spacecraft assembly quality and the product monitoring and data management method for digital twin construction were given. A comprehensive prediction method of assembly process quality based on gray correlation was proposed, which could be used for spacecraft assembly quality prediction. The correctness of the proposed method was verified by taking a pump component product of space station as an example. © 2021, Editorial Department of CIMS. All right reserved.
引用
收藏
页码：605 / 616
页数：11
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