Paper
1 August 2022 Digital twin based intelligent monitoring system for spacecraft vacuum thermal tests
Dongliang Wu, Zhijia Li, Juan Sun, Lin Zhu
Author Affiliations +
Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122570T (2022) https://doi.org/10.1117/12.2640367
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China
Abstract
In this paper, a novel intelligent monitoring system based on digital twin framework is developed for spacecraft vacuum thermal test. More precisely, the corresponding digital twin model mapping of real-world spacecraft vacuum thermal test is constructed by hierarchy design scheme with robustness. Then, in order to reliably obtain all the dynamical data during the entire vacuum thermal testing processes, the monitoring system is designed with hardware equipment and software integration. As a result, the testing data analysis, fault detection and decision optimization for spacecraft vacuum thermal test can be achieved, which can effectively save the implementation cost and improve the testing efficiency. In the end, the practical experiment case is presented for showing the usefulness of the designed intelligent monitoring system.
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Dongliang Wu, Zhijia Li, Juan Sun, and Lin Zhu "Digital twin based intelligent monitoring system for spacecraft vacuum thermal tests", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122570T (1 August 2022); https://doi.org/10.1117/12.2640367
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KEYWORDS
Data modeling

Intelligence systems

Space operations

Control systems

Data acquisition

Associative arrays

Data mining

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