基于语义匹配的作战体系仿真想定生成方法

doi:10.12305/j.issn.1001-506X.2021.08.17

摘要/Abstract

摘要：

针对传统的想定建模方法耗时长、成本高的问题，为了实现作战体系概念模型数据到仿真想定的数据映射重用, 提出一种基于语义匹配的作战体系仿真想定生成方法。首先，基于网络爬虫技术获取武器装备的参数信息, 构建了作战领域知识库。在此基础上, 提出了新型的混合式语义匹配方法以提供仿真想定的数据来源, 根据自然语言数据库WordNet开展调参实验确定算法参数, 通过对比人工打分结果有效提高了算法的可信性。在确定了概念模型与仿真想定的数据映射关系后, 给出了仿真想定的生成方法。最后, 通过编队突防仿真应用案例, 验证了该方法的可行性。

关键词: 语义匹配, 作战体系仿真想定, 网络爬虫, 作战领域知识库

Abstract:

The combat system-of-systems simulation scenario is the basic basis and data source for combat simulation. But the traditional scenario generating method have the problem of time-consuming and costly. In order to achieve the data mapping and reuse of the conceptual model data of the combat system-of-systems to the simulation scenario, a method for generating combat system-of-systems simulation scenario based on semantic matching is proposed. Firstly, information of weapons and equipment were obtained based on the web crawler technology, and a knowledge base in the combat domain was constructed. Then, a new hybrid semantic matching method is proposed to provide data sources for simulation scenario, and the algorithm parameters are determined by parameter tuning experiments based on the natural language database WordNet, and the credibility of the algorithm is effectively improved by comparing the results of manual scoring. After determining the data mapping relationship between the conceptual model and the simulation scenario, the method of generating the simulation scenario is given. Finally, the feasibility of the method is certified by using the application case of the formation raid defense system-of-systems.

Key words: semantic matching, combat system-of-systems simulation scenario, web crawler, combat domain knowledge base

中图分类号:

TP391.9

曾广迅, 龚光红, 李妮. 基于语义匹配的作战体系仿真想定生成方法[J]. 系统工程与电子技术, 2021, 43(8): 2154-2162.

Guangxun ZENG, Guanghong GONG, Ni LI. Combat system-of-systems simulation scenario generation approach based on semantic matching[J]. Systems Engineering and Electronics, 2021, 43(8): 2154-2162.

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方法	Type	M&C	R&G
Rada^[28]	Path	0.644	0.734
Leacock & Chodorow^[29]	Path	0.777	0.836
Wu & Palmer^[27]	Path	0.745	0.786
Li^[30]	Path	0.816	0.854
Gao^[31] (Strategy2)	Path	0.826	0.866
本文方法	Path & Feature	0.855	0.857

序号	概念模型数据	仿真想定内容模块
1	作战单元间的层次关系	Organizations-Unit
2	武器装备模型	Organizations-Equipment
3	武器装备的模型参数	Organizations-EquipmentItem
4	作战单元的阵营关系	ForceSides-ForceSideColor
5	执行的活动	Plan-UnitActivities
6	活动模型参数(除路径)	Plan-Parameters
7	活动执行路径	TacticalGraphics-AnchorPoint

源武器装备	目标武器装备	相似度	阵营
001舰	Carrier	1.000	红方
052B	052C	0.869	红方
052C	052C	1.000	红方
J-20	J-10	0.839	红方
KJ-2000	KJ-2000	1.000	红方
红方机场指挥所	红方机场指挥所	1.000	红方
空军机场	空军机场	1.000	红方
JH-7C	JH-7G	0.800	红方
J-15	Su-30	0.867	红方
F-16	F-16	1.000	蓝方
F-22	F-16	0.829	蓝方
伯克级驱逐舰	基隆级驱逐舰	0.866	蓝方
高波级驱逐舰	基隆级驱逐舰	0.834	蓝方
蓝方机场指挥所	蓝方机场指挥所	1.000	蓝方
空军机场	空军机场	1.000	蓝方
E-2T	E-2T	1.000	蓝方

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