系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (5): 1620-1626.doi: 10.12305/j.issn.1001-506X.2025.05.23

• 系统工程 • 上一篇    

基于FP-Growth的目标编队规律挖掘模型

徐秋坪, 孙耀宗   

  1. 中国电子科技集团公司第二十八研究所, 江苏 南京 210007
  • 收稿日期:2024-09-04 出版日期:2025-06-11 发布日期:2025-06-18
  • 通讯作者: 徐秋坪
  • 作者简介:徐秋坪 (1990—), 男, 高级工程师, 博士, 主要研究方向为综合情报处理挖掘、态势智能分析
    孙耀宗 (1986—), 男, 高级工程师, 硕士, 主要研究方向为指挥决策

Target formation rule mining model based on FP-Growth

Qiuping XU, Yaozong SUN   

  1. The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China
  • Received:2024-09-04 Online:2025-06-11 Published:2025-06-18
  • Contact: Qiuping XU

摘要:

面向目标间编队协同作战运用规律分析挖掘需求, 考虑目标编队样本存在一型多架、同类样本目标关联顺序不同等特征, 提出一种基于频繁模式树的编队协同规律挖掘算法模型。模型中设计样本格式化预处理方法和频繁项分拣策略, 运用频繁模式增长算法挖掘目标编组规律知识, 从编组运用样式、作战运用样式等维度分析典型编队规律运用特征。该模型易于工程实现, 能够基于积累的编队样本数据, 挖掘形成典型目标协同作战运用规律知识, 通过案例分析介绍该模型的可行性和有效性, 可为实时战场编队识别研判、目标态势变化趋势预测、临机动态规划等作战应用提供高价值情报支撑。

关键词: 编队规律, 作战运用特征, 频繁模式增长算法

Abstract:

In response to the needs of analysis and mining of the formation cooperative operation rules, considering the characteristics of multiple aircraft of one type and different target association order of the similar sample, a mining algorithm model of formation cooperative rule based on frequent pattern tree is proposed. In the model, the formatting preprocessing method of the sample data and the frequent item sorting strategy are designed, and the frequent pattern growth algorithm mines the knowledge of formation rules at the same time. Furthermore, The typical application characteristics of formation rule are analyzed from dimensions such as grouping application style and combat application style. This model is easy to implement in engineering, and can mine and form the rule knowledge of typical target cooperative operation based on the accumulated formation sample data. The feasibility and effectiveness of the model are introduced through case analysis, which can provide high-value intelligence support for real-time battlefield formation identification and judgment, target situation change trend prediction, and temporary dynamic planning.

Key words: ormation rule, characteristics of combat operation, frequent pattern growth algorithm

中图分类号: