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实时态势数据驱动的平行仿真推演方法

A Parallel Simulation Deduce Method Based On Real-Time Situation Data Driven

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【作者】 周芳毛少杰吴云超李玉萍

【Author】 ZHOU Fang;MAO Shao-jie;WU Yun-chao;LI Yu-ping;The Information System Engineering Important Laboratory;

【机构】 信息系统工程重点实验室

【摘要】 复杂多变、快节奏、强对抗的战场环境对战场未来态势演变趋势提出了新的挑战,提出了一种实时态势数据驱动的平行仿真推演方法。首先,提出了涵盖实时态势数据引接与处理、仿真实体动态生成与修正、平行仿真推演引擎、态势要素分析预测等要素组成的态势预测框架;其次,建立了实时目标数据驱动的平行仿真推演运行机制;最后,从平行仿真的试验资源、共性支撑、仿真应用、开发应用集成规范共4个方面,建立面向态势预测的平行仿真系统技术架构模型,为研制平行仿真推演系统提供理论方法和模型支撑。

【Abstract】 Complex changeable and strong confrontation battlefield environment has put forward new challenges to the future trend of battlefield situation evolution. A parallel simulation deduction method for situation prediction is proposed. Firstly,a framework of situation prediction is built,including real-time situation data acquisition and processed,dynamic generation and revision of simulation entities,parallel simulation deduction engine and situation factor analysis and prediction. Secondly,a parallel simulation deduction mechanism driven by real-time target data is established. Finally,the technical framework model of parallel simulation system oriented to situation prediction is established,from four aspects of parallel simulation experiment resources,common support,simulation application and development application integration specification,in order to provide theoretical methods and model support for the development of parallel simulation and deduction system.

  • 【文献出处】 中国电子科学研究院学报 ,Journal of China Academy of Electronics and Information Technology , 编辑部邮箱 ,2020年04期
  • 【分类号】E91;TP391.9
  • 【被引频次】1
  • 【下载频次】454
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