系统仿真学报 ›› 2017, Vol. 29 ›› Issue (10): 2440-2446.doi: 10.16182/j.issn1004731x.joss.201710027

• 仿真系统与技术 • 上一篇    下一篇

基于海量结果数据的潜艇战术行动方案优化

张会1, 吴思瑾2, 程健1   

  1. 1.海军潜艇学院,山东 青岛 266071;
    2.西北农林科技大学信息工程学院,陕西 西安 712100
  • 收稿日期:2017-04-26 发布日期:2020-06-04
  • 作者简介:张会(1971-),女,山东宁阳,博士,副教授,研究方向为作战仿真与军事运筹;吴思瑾(1996-),山东青岛,本科,研究方向为大数据分析;程健(1963-),男,安徽怀宁,硕士,高工,研究方向为潜艇作战指挥。

Submarine Tactical Action Scheme Optimization Method Based on Massive Result Data

Zhang Hui1, Wu Sijin2, Cheng Jian1   

  1. 1. Navy Submarine Academy, Qingdao 266071, China;
    2. College of Information Engineering, Northwest A&F University, Xian 712100, China
  • Received:2017-04-26 Published:2020-06-04

摘要: 以潜艇规避反潜兵力编队搜索方案优化为例,给出一种基于海量结果数据的潜艇战术行动方案优化方法。该方法通过离线的仿真计算,得到不同态势、不同方案下作战效能的海量数据,用于支持在线的方案优化计算。在线方案优化使用多维线性插值进行突破效果估计,可大幅提高计算效率。计算实验结果表明,计算精度和计算速度均可满足潜艇战术实时决策的需要。

关键词: 仿真结果数据, 实时决策, 潜艇, 规避编队搜索, 方案优化

Abstract: Taking submarine evasion anti-sub force formation search scheme optimization as an example, a submarine tactical action scheme optimization method based on massive simulation result data was proposed. The operational effectiveness data in different situation of various scheme were generated by off-line simulation, which was used as massive data to support on-line real time decision. Real time decision used interpolation method to estimate the operational effectiveness based on the data. According to the computational experiments, accuracy and efficiency can both satisfy the need of real time decision.

Key words: simulation result data, real-time decision, submarine, evade formation search, scheme optimization

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