在信息化作战条件下,各种侦察监视设备（如卫星、雷达、无人机群等）可以获取海量的战场信息数据。如何有效利用这些海量多源异构信息来提高无人机作战的智能化程度和打击精度是当前的一个热门研究领域。在介绍了人工智能和知识图谱发展现状的基础上,针对如何引导无人机完成智能打击这一目标构建了知识图谱,并结合具体的作战任务需求和场景特点给出了解决方案。

Under the condition of information warfare, a variety of reconnaissance and surveillance equipments(such as satellite, radar, UAV group, etc)can acquire massive battlefield information and data. How to effectively utilize the massive multiple source isomerism information to improve the intelligence degree and strike precision of UAV is a hot research field. Based on the introduction of the development status of knowledge graph and artificial intelligence, the knowledge graph is constructed aiming at the goal of guiding UAV to complete intelligent strike, and a solution is given combining with specific war requirements and scene characteristics.