AI赋能基于模型的系统工程研究现状与展望

doi:10.12305/j.issn.1001-506X.2025.12.21

Abstract

Abstract:

With the rapid advancement of science and technology, the complexity of modern products and systems increases significantly, resulting in an exponential growth of design information, and posing significant challenges for model-based systems engineering （MBSE） in complex systems. Artificial intelligence （AI） offers a viable solution to these challenges. However, the concept of AI for MBSE （AI4MBSE） is not reviewed since its inception. To explore the current state of research on AI4MBSE and to provide prospects, the development overview of MBSE and AI is summarized, and the concept of AI4MBSE is introduced. Then, the current state and key technologies of research on AI4MBSE are analyzed and summarized by searching for literature related to AI4MBSE from relevant databases over the past six years. Finally, the research gaps, research prospects and future research trends of AI4MBSE are presented. This paper has certain contributes to the development of AI4MBSE and is of significant importance for enhancing the automation, digitization, and intelligence levels of MBSE.

Key words: model-based systems engineering （MBSE）, artificial intelligence （AI）, AI for MBSE （AI4MBSE）

CLC Number:

N 945

Zelong SONG, Jin CHEN, Quan ZHOU, Yifan TAN, Jiaxi ZHAO, Xiaochen ZHENG. Current state and prospects of research on AI for model-based systems engineering[J]. Systems Engineering and Electronics, 2025, 47(12): 3966-3980.

Figures/Tables 9

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AI相关检索词	MBSE相关检索词
人工智能和AI	基于模型的系统工程和MBSE
机器学习	系统建模语言和SysML
深度学习	—
知识图谱	—
NLP	—
LLM	—

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Current state and prospects of research on AI for model-based systems engineering

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