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作 者:陈皖玉 蔡飞[1] 陈洪辉[1] 张维明[1] CHEN Wanyu;CAI Fei;CHEN Honghui;ZHANG Weiming(Key Laboratory on Information Systems Engineering,National University of Defense Technology,Changsha Hunan 410073,China)
机构地区:[1]国防科技大学信息系统工程重点实验室,湖南长沙410073
出 处:《指挥与控制学报》2023年第2期175-181,共7页Journal of Command and Control
基 金:国防科技大学科研计划项目(ZX22-11)资助。
摘 要:急速增长的战场信息量,复杂的战场态势,多样化的作战任务以及不断缩小的时间窗口,给指挥人员的大脑带来了巨大的挑战和负荷.综合应用大数据、人工智能技术,以及机器的快速运算能力和强大的数据存储能力,提出面向作战任务规划的信息主动推荐服务.根据作战态势,为任务规划主动提供相关信息,减轻任务规划人员工作负荷,提高任务规划的效率.对作战任务规划的信息主动推荐服务进行应用需求分析,包括业务需求和能力需求;设计面向作战任务规划的信息主动推荐服务的应用模式和技术架构,提出了3种关键技术策略,并对每种技术策略进行了具体的分析.The rapidly increasing amount of battlefield information,complex situation,diversified combat task,shrinking time windows have brought huge challenges and overloads to the commanders'brain.The big data,artificial intelligence technology,as well as rapid computing ability and powerful data storage ability of the machines are comprehensively utilized,an intelligent information recommendation service for combat task planning is proposed.According to the current combat situation,this service can provide related information when doing task planning,which can reduce the work load of task planners and improve the efficiency of planning.The analysis on application requirements for intelligent information recommendation service is performed,including the business requirements and functional requirements.The application mode and technical architecture for the intelligent information recommendation service based on combat task planning is designed and three key technology strategies are proposed and the analysis of each kind of technology strategy is carried out in detail.
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