Battlefield Target Intelligence System Architecture Modeling and System Optimization

To address the current problems of poor generality, low real-time, and imperfect information transmission of the battlefield target intelligence system, this paper studies the battlefield target intelligence system from the top-level perspective of multi-service joint warfare. First, an overall planning and analysis method of architecture modeling is proposed with the idea of a bionic analogy for battlefield target intelligence system architecture modeling, which reduces the difficulty of the planning and design process. The method introduces the Department of Defense architecture framework (DoDAF) modeling method, the multi-living agent (MLA) theory modeling method, and other combinations for planning and modeling. A set of rapid planning methods that can be applied to model the architecture of various types of complex systems is formed. Further, the liveness analysis of the battlefield target intelligence system is carried out, and the problems of the existing system are presented from several aspects. And the technical prediction of the development and construction is given, which provides directional ideas for the subsequent research and development of the battlefield target intelligence system. In the end, the proposed architecture model of the battlefield target intelligence system is simulated and verified by applying the colored Petri nets (CPN) simulation software. The analysis demonstrates the reasonable integrity of its logic.

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Publication Details

Journal
Journal of Systems Engineering and Electronics
Published
2024-10-01
DOI
https://doi.org/10.23919/jsee.2024.000114
Citations
1
Primary Topic
Military Strategy and Technology
Type
article
Field-Weighted Citation Impact
0.33

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article

Battlefield Target Intelligence System Architecture Modeling and System Optimization

Lijuan Jia, Senran Peng, Wei Li, Yue Wang et al.
1 citations
Journal of Systems Engineering and Electronics
Military Strategy and Technology
0.33
article

Battlefield Target Intelligence System Architecture Modeling and System Optimization

Lijuan Jia, Senran Peng, Wei Li, Yue Wang, Ruixi He
article en
1 citations

Abstract

To address the current problems of poor generality, low real-time, and imperfect information transmission of the battlefield target intelligence system, this paper studies the battlefield target intelligence system from the top-level perspective of multi-service joint warfare. First, an overall planning and analysis method of architecture modeling is proposed with the idea of a bionic analogy for battlefield target intelligence system architecture modeling, which reduces the difficulty of the planning and design process. The method introduces the Department of Defense architecture framework (DoDAF) modeling method, the multi-living agent (MLA) theory modeling method, and other combinations for planning and modeling. A set of rapid planning methods that can be applied to model the architecture of various types of complex systems is formed. Further, the liveness analysis of the battlefield target intelligence system is carried out, and the problems of the existing system are presented from several aspects. And the technical prediction of the development and construction is given, which provides directional ideas for the subsequent research and development of the battlefield target intelligence system. In the end, the proposed architecture model of the battlefield target intelligence system is simulated and verified by applying the colored Petri nets (CPN) simulation software. The analysis demonstrates the reasonable integrity of its logic.

Journal of Systems Engineering and ElectronicsVol. 35(5)
Beijing Institute of Technology (CN)
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
Openalex Percentile: Top 39%
Military Strategy and Technology
0.33
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Battlefield Target Intelligence System Architecture Modeling and System Optimization — Lijuan Jia, Senran Peng, et al. · Journal of Systems Engineering and Electronics (2024) | TGRS Research Map | TGRS