摘要
战场事件是兵棋对抗推演中推演人员了解战场情况、掌握对方各方动向的重要依据。针对兵棋推演中部分战场事件聚合不充分、大量短时频发干扰推演人员关切的问题,在分析战场事件聚合军事需求、提出基本聚合算子和聚合效果评价方法的基础上,设计总体解决途径,并从战场事件元数据构建、量化战场事件关联、消解战场事件共域关系、建立战场情况生成模型、设计战场事件回放引擎等关键技术方面展开研究。基于某型兵棋系统的推演结果表明,提出的方法可有效解决战场事件的聚合问题。
Battlefield event is an important basis for players to understand the situation on the battlefield and grasp the movements of the enemy and ourselves in confrontational war gaming.In order to solve the problem that some battlefield events are not sufficiently aggregated in war gaming,which leads to a large number of events occurring frequently in a short time and disturbs the concern of the players,an overall research approach is proposed based on the analysis of military requirements for battlefield event aggregation,the design of basic aggregation operators,and the evaluation method of aggregation effect.On this basis,the key technology research is carried out from the aspects of battlefield event metadata construction,quantification of battlefield event correlation,elimination of the common domain relationship of battlefield events,establishment of a processing model for battlefield events,and design of a battlefield event replay engine.The simulation results based on a certain war game indicate that the method proposed in this paper can effectively solve the aggregation problem of battlefield events in war gaming.
作者
宋士兵
张体奎
高尚
Song Shibing;Zhang Tikui;Gao Shang(National Defense University,Beijing 100091,China;77611 Unit,Lhasa 860000,China)
出处
《网络安全与数据治理》
2023年第S02期129-134,共6页
CYBER SECURITY AND DATA GOVERNANCE
关键词
兵棋推演
战场事件
数据聚合
war gaming
battlefield event
data aggregation
作者简介
宋士兵(1968-),男,正高级工程师,博士后合作导师,主要研究方向:军队指挥学、军事大数据;张体奎(1986-),男,博士,工程师,主要研究方向:运筹学、军事大数据;高尚(1995-),男,研究生,主要研究方向:仿真技术。
