系统仿真学报 ›› 2023, Vol. 35 ›› Issue (5): 1008-1019.doi: 10.16182/j.issn1004731x.joss.22-0037

• 论文 • 上一篇    下一篇

基于DBN的飞行保障力量配置辅助决策方法

刘君阳1(), 朱世松2()   

  1. 1.空军勤务学院 研究生大队,江苏 徐州 221000
    2.空军勤务学院 飞行保障指挥系,江苏 徐州 221000
  • 收稿日期:2022-01-14 修回日期:2022-03-21 出版日期:2023-05-30 发布日期:2023-05-22
  • 通讯作者: 朱世松 E-mail:1746618275@qq.com;zhushisong@souhu.com
  • 作者简介:刘君阳(1998-),男,硕士生,研究方向为军队后勤指挥控制与技术。E-mail:1746618275@qq.com
  • 基金资助:
    军内科研重点项目(BKJ19C025)

Auxiliary Decision-Making Method for Flight Support Force Allocation Based on DBN

Junyang Liu1(), Shisong Zhu2()   

  1. 1.Postgraduate Brigade, Air Force Logistics Academy, Xuzhou 221000, China
    2.Flight Support and Command Department, Air Force Logistics Academy, Xuzhou 221000, China
  • Received:2022-01-14 Revised:2022-03-21 Online:2023-05-30 Published:2023-05-22
  • Contact: Shisong Zhu E-mail:1746618275@qq.com;zhushisong@souhu.com

摘要:

为弥补机场飞行保障活动中全员出动和比例配置决策方法的不足,构建了基于动态贝叶斯网络(dynamic Bayesian network, DBN)的机场飞行保障力量配置辅助决策模型。在量化保障力量强度的基础上引入隐马尔可夫模型Hausdorff距离算法,对不同条件下的飞行保障活动进行辅助决策,并定义相关决策评估指标作为模型验证依据。分别对两种情况的机场飞行保障活动进行仿真试验,结果表明,通过决策模型可以生成指标优于传统比例配置的方案,并且可对保障力量缺口补充提供决策支持依据。

关键词: 飞行保障, 动态贝叶斯网络, 隐马尔可夫模型, Hausdorff距离, 力量配置, 辅助决策

Abstract:

In order to make up for the deficiency of decision-making methods of full deployment and proportional allocation in airport flight support activities, an auxiliary decision-making model for airport flight support force allocation based on a dynamic Bayesian network (DBN) is constructed.On the basis of quantifying the strength of the support force, thehidden Markov model and Hausdorff distance algorithm are introduced to make auxiliary decisions for flight support activities under different conditions and define relevant decision evaluation indexes as the basis for model verification. Simulation tests are carried out on airport flight support activities under two conditions respectively. The results show that the decision-making model can generate a scheme whose index is better than the traditional proportional allocation scheme and provide the basis for decision-making support for supplementing the support force gap.

Key words: flight support, dynamic Bayesian network (DBN), hidden Markov model, Hausdorff distance, force allocation, auxiliary decision

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