面向空间智能的基于模型的系统工程方法

doi:10.12305/j.issn.1001-506X.2025.12.14

Abstract

Abstract:

Existing systems engineering development methods fall short in terms of intelligent approaches, failing to satisfy the requirement for intelligent design in the complex equipment development process. In regard to this, a model-based systems engineering approach is proposed for spatial intelligence. This approach makes full use of the semantic unified multi-architecture modeling language kombination of architecture model specification （KARMA） and integrates with cutting-edge technologies such as large language models, computer vision, and three-dimensional scenario modeling to construct a spatial intelligence framework for systems engineering, to realize intelligent modeling methods for digital development of complex equipment and system engineering research and development. The feasibility and practicality of the spatial intelligence framework based on KARMA language are verified through intelligent modeling cases of three typical scenarios. Further research showns that by deeply integrating KARMA with large language models, computer vision, and three-dimensional models, the proposed method demonstrates significant advantages in supporting intelligent design of complex systems, providing a technical path for the intelligent transformation of the systems engineering field.

Key words: spatial intelligence, model-based systems engineering （MBSE）, large language model, kombination of architecture model specification （KARMA） language, intelligent design

CLC Number:

N 945

Jinzhi LU, Guoxin WANG, Xijin TANG, Junjie TANG, Yuejie WEN, Jian TANG, Yangyang ZHANG, Xiaoping LAN, Qi LIU, Junlin LI, Junda MA, Shouxuan WU, Xiaodu HU. MBSE approach for spatial intelligence[J]. Systems Engineering and Electronics, 2025, 47(12): 3877-3889.

Figures/Tables 15

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References 31

1	吴轩宇, 洪兆溪, 刘继红, 等. 复杂定制产品智能化设计与验证协同模式[J]. 计算机集成制造系统, 2022, 28 (9): 2700- 2717. doi: 10.13196/j.cims.2022.09.005
	WU X Y, HONG Z X, LIU J H, et al. Collaborative intelligent design and verification mode for complex customized products[J]. Computer Integrated Manufacturing Systems, 2022, 28 (9): 2700- 2717. doi: 10.13196/j.cims.2022.09.005
2	苗学问, 董骁雄, 钱征文, 等. 基于DoDAF的航空装备智能保障系统体系结构建模[J]. 系统工程与电子技术, 2024, 46 (2): 640- 648.
	MIAO X W, DONG X X, QIAN Z W, et al. Architecture modeling of intelligent support systems for aviation equipment based on DoDAF[J]. Systems Engineering and Electronics, 2024, 46 (2): 640- 648.
3	任浩亮, 张建超, 程会川. 基于SysML的武器装备体系能力需求建模分析方法[J]. 系统工程与电子技术, 2023, 45 (9): 2843- 2851.
	REN H L, ZHANG J C, CHENG H C, et al. Modeling and analysis method for capability requirements of weapon equipment systems based on SysML[J]. Systems Engineering and Electronics, 2023, 45 (9): 2843- 2851.
4	陈成, 张祥瑞, 杨中源, 等. 基于DoDAF的舰船实战化需求建模与分析方法[J]. 系统工程与电子技术, 2025, 47 (10): 3389- 3400.
	CHEN C, ZHANG X R, YANG Z Y, et al. Modeling and analysis method of ship combat-oriented requirements based on DoDAF[J]. Systems Engineering and Electronics, 2025, 47 (10): 3389- 3400.
5	MCDERMOTT T, DELAURENTIS D, BELING P, et al. AI4SE and SE4AI: a research roadmap[J]. Insight, 2020, 23 (1): 8- 14. doi: 10.1002/inst.12278
6	CHAMI M, ZOGHBI C, BRUEL J M. A first step towards ai for MBSE: generating a part of SysML models from text using AI[C]//Proc. of the INCOSE Artificial Intelligence for Systems Engineering, 2019: 123−136.
7	CRABB E S, JONES M T. Accelerating model-based systems engineering by harnessing generative AI[C]//Proc. of the19th Annual System of Systems Engineering Conference, 2024: 110−115.
8	TIMPERLEY R L, BERTHOUD L, SNIDER C, et al. Assessment of large language models for use in generative design of model-based spacecraft system architectures[J]. Journal of Engineering Design, 2025, 36 (4): 550- 570. doi: 10.1080/09544828.2025.2453401
9	VANGUNDY B, PHOJANAMONGKOLKIJ N, BROWN B, et al. Requirement discovery using embedded knowledge graph with ChatGPT[C]//Proc. of the 34th Annual INCOSE International Symposium Hybrid Event, 2024, 34(1): 2011−2027.
10	BADER E, VERENO D, NEUREITER C. Facilitating user-centric model-based systems engineering using generative AI[C]//Proc. of the International Conference on Model Engineering and Software Development, 2024: 371−377.
11	TIKAYAT R A, COLE B F, PINON F O J, et al. Agile methodology for the standardization of engineering requirements using large language models[J]. Systems, 2023, 11 (7): 352. doi: 10.3390/systems11070352
12	ZHU Y M, ZHANG Y Z, PENG X D, et al. SSMBERT: a space science mission requirement classification method based on BERT[J]. Aerospace, 2024, 11 (12): 1031. doi: 10.3390/aerospace11121031
13	MCDERMOTT T, COLLOPY P, NADOLSKI M, et al. The future exchange of digital engineering data and models: an enterprise systems analysis[J]. Procedia Computer Science, 2019, 153, 260- 267. doi: 10.1016/j.procs.2019.05.078
14	鲁金直, 王国新, 阎艳, 等. 基于多架构建模语言的系统工程建模方法[J]. 系统工程学报, 2023, 38 (2): 146- 160. doi: 10.13383/j.cnki.jse.2023.02.001
	LU J Z, WANG G X, YAN Y, et al. System engineering modeling methodology based on multi-architectural modeling language[J]. Journal of Systems Engineering, 2023, 38 (2): 146- 160. doi: 10.13383/j.cnki.jse.2023.02.001
15	兰小平, 姚志强, 吴绶玄, 等. 面向MBSE的复杂系统研发模型追溯管理方法[J]. 系统工程学报, 2023, 38 (3): 289- 303. doi: 10.13383/j.cnki.jse.2023.03.01
	LAN X P, YAO Z Q, WU S X, et al. Traceability management approach for complex system development based on MBSE[J]. Journal of Systems Engineering, 2023, 38 (3): 289- 303. doi: 10.13383/j.cnki.jse.2023.03.01
16	WU S X, LU J Z, HU Z C, et al. Cognitive thread supports system of systems for complex system development[C]//Proc. of the 16th International Conference of System of Systems Engineering, 2021: 82−87.
17	WU S X, WANG G X, LU J Z, et al. Digital thread in engineering: concept, state of art, and enabling framework[J]. Advanced Engineering Informatics, 2025, 65, 103258. doi: 10.1016/j.aei.2025.103258
18	DAI T T, WONG J, JIANG Y F, et al. Automated creation of digital cousins for robust policy learning[EB/OL]. [2025-02-18]. https://arxiv.org/abs/2410.07408.
19	DATTA S. Digital twins: digital twin meets digital cousin[M]. Berlin: Springer, 2022.
20	WU S X, WANG G X, LU J Z, et al. Design ontology for cognitive thread supporting traceability management in model-based systems engineering[J]. Journal of Industrial Information Integration, 2024, 40, 100619. doi: 10.1016/j.jii.2024.100619
21	YANG P F, LU J Z, FENG L, et al. A knowledge management approach supporting model-based systems engineering[M]//Trends and applications in information systems and technologies. ROCHA Á, ADELI H, DZEMYDA G, ed. Cham: Springer, 2021: 581−590.
22	LU J Z, WANG G X, YAN Y, et al. Semantic model-based systems engineering based on KARMA: a research and practice roadmap 2025[C]//Proc. of the 32nd Annual INCOSE International Symposium, 2022, 32(1): 706−720.
23	HEGARTY M. Components of spatial intelligence[M]//Psychology of learning and motivation. Pittsburgh: Academic Press, 2010, 52: 265−297.
24	HALL A D. Three-dimensional morphology of systems engineering[J]. IEEE Trans. on Systems Science and Cybernetics, 2007, 5 (2): 156- 160.
25	陶飞, 刘蔚然, 张萌, 等. 数字孪生五维模型及十大领域应用[J]. 计算机集成制造系统, 2019, 25 (1): 1- 18. doi: 10.13196/j.cims.2019.01.001
	TAO F, LIU W R, ZHANG M, et al. Five-dimension digital twin and its ten applications[J]. Computer Integrated Manufacturing Systems, 2019, 25 (1): 1- 18. doi: 10.13196/j.cims.2019.01.001
26	VOULODIMOS A, DOULAMIS N, DOULAMIS A, et al. Deep learning for computer vision: a brief review[J]. Computational Intelligence and Neuroscience, 2018: 7068349.
27	CHOWDHARY K R. Natural language processing[M]//Fundamentals of artificial intelligence. New Delhi: Springer, 2020: 603−649.
28	CHANG Y P, WANG X, WANG J D, et al. A survey on evaluation of large language models[J]. ACM Transactions on Intelligent Systems and Technology, 2024, 15 (3): 1- 45.
29	GE Z, LIU S, WANG F, et al. Yolox: exceeding yolo series in 2021[EB/OL]. [2025-02-18]. https: //arxiv.org/abs/2107.08430.
30	PIASZCZYK C. Model based systems engineering with department of defense architectural framework[J]. Systems Engineering, 2011, 14 (3): 305- 326. doi: 10.1002/sys.20180
31	WANG S C, LI Z B, WANG B T, et al. Collision avoidance motion planning for connected and automated vehicle platoon merging and splitting with a hybrid automaton architecture[J]. IEEE Trans. on Intelligent Transportation Systems, 2023, 25 (2): 1445- 1464.

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[7]	Mengru DONG, Guoxin WANG, Jinzhi LU, Junda MA, Yan YAN. Research on the development trend of MBSE based on WordCloud technology [J]. Systems Engineering and Electronics, 2024, 46(2): 534-548.
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MBSE approach for spatial intelligence

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