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DATA COLLECTION SYSTEM FOR NEXT GENERATION NAVAL VESSELS FOR ANALYZING OF COMBAT SYSTEM EFFECTIVENESS

机译:下一代舰船数据收集系统,用于作战系统效能分析

摘要

Disclosed is a next-generation data collection system for ships to analyze the effectiveness of a combat system. A battle system message real-time collection module that collects battle system messages in real time; Constructs an exhibition module that displays the results of the battle of Zaham. According to the data collection system for the next-generation ship for analyzing the effectiveness of the combat system described above, it is configured to perform real-time analysis by selectively collecting necessary messages among a number of combat system messages flowing through the combat system data bus. It has the effect of grasping the actual effectiveness of the combat system in the actual combat/training situation of the ship. Since it is not a virtual simulation on a computer, the reliability of the evaluation is very high, and it is possible to accurately evaluate the crew's ability to respond. In particular, it is configured to analyze the effectiveness of the combat system by simulating self-response response in a variety of different scenarios, and simulating the response of friendly/enemy targets around it, so that self-response response to past engagements is appropriate. There is an effect that can be used for the analysis of engagement and learning and training of crew members by evaluating whether it was done and deriving a more appropriate optimal self-response through simulation.
机译:公开了一种用于舰船的下一代数据收集系统,用于分析战斗系统的有效性。战斗系统消息实时收集模块,用于实时收集战斗系统消息;构造一个展览模块,显示Zaham战役的结果。根据上述用于分析战斗系统的有效性的下一代舰船的数据收集系统,其被配置为通过选择性地收集流经战斗系统数据的多个战斗系统消息中的必要消息来执行实时分析。公共汽车。它具有在船舶的实际战斗/训练情况下掌握战斗系统的实际效能的作用。由于它不是计算机上的虚拟仿真,因此评估的可靠性非常高,并且可以准确评估机组人员的响应能力。特别是,它被配置为通过在各种不同情况下模拟自我响应反应并模拟周围友好/敌方目标的反应来分析战斗系统的有效性,因此对过去交战做出自我反应是适当的。通过评估是否已完成并通过仿真得出更合适的最佳自我反应,可以将其用于分析人员的参与,学习和培训。

著录项

  • 公开/公告号KR1021269560000B1

    专利类型

  • 公开/公告日2020-06-25

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020200048030

  • 发明设计人 이태원;

    申请日2020-04-21

  • 分类号

  • 国家 KR

  • 入库时间 2022-08-21 10:57:54

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