系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (11): 3721-3728.doi: 10.12305/j.issn.1001-506X.2025.11.20

• 系统工程 • 上一篇    

基于动态规划的阵地伪装方案优化方法

于海宝1,2,*(), 许卫东1, 谢雨谋3, 魏洪1, 叶雨佳1, 郑龙华1   

  1. 1. 中国人民解放军陆军工程大学野战工程学院,江苏 南京 210007
    2. 中国人民解放军69348部队,新疆 霍城 835200
    3. 察布查尔锡伯自治县人民武装部,新疆 察布查尔锡伯自治县 835300
  • 收稿日期:2024-11-25 出版日期:2025-11-25 发布日期:2025-12-08
  • 通讯作者: 于海宝 E-mail:1016466874@qq.com
  • 作者简介:许卫东(1968—),男,教授,博士研究生导师,博士,主要研究方向为伪装科学与技术
    谢雨谋(1992—),男,工程师,主要研究方向为计算机科学与技术
    魏 洪(1979—),男,工程师,硕士,主要研究方向为工程兵指挥信息系统
    叶雨佳(1986—),男,工程师,硕士,主要研究方向为设障与破障技术与应用
    郑龙华(1988—),男,工程师,硕士,主要研究方向为工程安全管理

Optimization method of position camouflage scheme based on dynamic programming

Haibao YU1,2,*(), Weidong XU1, Yumou XIE3, Hong WEI1, Yujia YE1, Longhua ZHENG1   

  1. 1. College of Field Engineering,Army Engineering University of PLA,Nanjing 210007,China
    2. Unit 69348 of the PLA,Huocheng 835200,China
    3. People’s Armed Forces Department of Qapqal Xibe Autonomous County,Qapqal Xibe Autonomous County 835300,China
  • Received:2024-11-25 Online:2025-11-25 Published:2025-12-08
  • Contact: Haibao YU E-mail:1016466874@qq.com

摘要:

针对遂行阵地工事构筑时面临对手全方位、多谱段侦察与综合毁伤威胁,导致暴露征候显著、作战意图易被察觉等问题,提出一种基于动态规划构建数学模型进行伪装方案优化的解决方法。通过多谱伪装网遮障、植被铺设等方案形成的伪装体系,量化评估人力、物力、时间、经费等资源的消耗,构建动态规划模型,在可利用资源有限的约束条件下,经过多阶段决策优化,实现阵地工事伪装可靠度的最大化。对比分析显示,该方法在资源利用效率与伪装效果的平衡上优于传统经验决策。研究结果表明,将动态规划方法应用于阵地工事伪装方案优化,能够有效解决有限资源约束下伪装效能最大化的问题,可为复杂环境下的阵地工事伪装决策提供参考依据。

关键词: 阵地伪装, 动态规划, 归一化, 伪装效果

Abstract:

To address the problems of significant exposure symptoms and easy detection of combat intentions caused by the threat of all-round and multi spectral reconnaissance and comprehensive damage from opponents during the construction of position fortifications, a solution based on dynamic programming to optimize camouflage schemes is proposed. A camouflage system is formed through multi spectral camouflage nets, vegetation laying, and other schemes to quantitatively evaluate the consumption of resources such as manpower, material resources, time, and funds. A dynamic programming model is constructed to maximize the reliability of position fortifications camouflage through multi-stage decision-making optimization in the constraint of limited available resources. Comparative analysis shows that this method outperforms traditional empirical decision-making in balancing resource utilization efficiency and camouflage effect. The research results indicate that applying dynamic programming methods to optimize camouflage schemes for position fortifications can effectively solve the problem of maximizing camouflage effectiveness in limited resource constraints, and provide reference for position fortifications camouflage decision-making in complex environments.

Key words: position camouflage, dynamic programming, normalization, camouflage effect

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