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兵工学报 ›› 2024, Vol. 45 ›› Issue (4): 1025-1037.doi: 10.12382/bgxb.2022.1077

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基于知识推理的杀伤网智能设计方法

万斯来, 王国新, 明振军*(), 阎艳, 郝佳   

  1. 北京理工大学 机械与车辆学院, 北京 100081
  • 收稿日期:2022-11-21 上线日期:2024-04-30
  • 通讯作者:
  • 基金资助:
    北京市自然科学基金项目(3222020)

Knowledge Reasoning-based Intelligent Design Method of Kill-web

WAN Silai, WANG Guoxin, MING Zhenjun*(), YAN Yan, HAO Jia   

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
  • Received:2022-11-21 Online:2024-04-30

摘要:

针对现有杀伤网设计对人的经验依赖性强、智能化程度低的问题,提出一种基于知识推理的杀伤网智能设计方法。基于OODA循环理论构建作战任务-作战能力-武器装备多层级杀伤网本体,实现杀伤网设计静态知识建模;构建任务-能力-装备映射规则、装备协同规则和杀伤链协同规则3类杀伤网设计规则库,实现杀伤网设计动态知识建模;在静态知识和动态知识的基础上提出一个基于知识推理的杀伤网智能设计流程框架,同时定义了时间链、精度链和成本链3个杀伤链评估指标,以实现动态战场下的杀伤网快速智能设计。在某体系对抗仿真推演平台上,以防空反导作战体系执行典型防空反导任务为案例,验证了所提方法的有效性。

关键词: 杀伤网, 本体, 推理, OODA循环

Abstract:

A knowledge reasoning-based intelligent design method of kill-web is proposed for the problems of strong dependence on human experience and low intelligence in the design of kill-web. Based on the OODA theory, a multi-level kill-web ontology including combat mission-combat capability-wWeapon equipment is constructed to model the static knowledge related to kill-web design. Three types of kill-web design rule bases, namely mission-capability-equipment mapping rule, equipment coordination rule and kill chain coordination rule, are constructed to model the dynamic knowledge related to kill-web design. Based on static knowledge and dynamic knowledge, a knowledge reasoning-based intelligent design process framework of kill-web is proposed, in which three kill-chain evaluation metrics of time, precision and cost are defined in order to quickly and intelligently design a kill-web in actual combat situations. Taking the air defense and anti-missile system of systems as an example the effectiveness of the proposed method is verified on a simulation platform.

Key words: kill-web, ontology, reasoning, OODA loop

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