基于知识图谱的空中目标威胁分析

Air Target Thread Analysis Based on Knowledge Graph

空中目标威胁分析是防空作战指挥决策系统的核心。针对当前有监督学习分析方法对目标进行威胁评估存在的样本不足的问题,采用自注意力机制的深度学习算法和层次分析法,提出了基于知识图谱的空中目标威胁分析方法。该方法整合了战场目标信息,动态计算了目标实时情况,为信息资源的高效利用和战场目标分析提供了支撑。试验结果表明,该方法可有效用于空中目标威胁分析计算。

The air target threat analysis is the core of air defense combat command and decision system.Aimed at the problem of insufficient samples in the target threat assessment with the existing methods of supervised learning and analysis,the air target thread analysis method based on knowledge graph is proposed by the deep learning algorithm based on auto-attention mechanism and the analytic hierarchy process(AHP).The method integrates the battlefield target information,dynamically calculates the real-time situation of the target,and provides a support for the efficient use of information resources and battlefield target analysis.The experimental results show that this method can be used effectively in the air target threat analysis and calculation.