现代化战争对精确制导弹药的依赖越来越重,科学分析导弹脱靶的影响因素对于提升导弹命中精度有着显著意义。随着云计算、边缘计算、物联网和大数据挖掘等新技术的不断发展,尤其是数字孪生技术在各行业的落地,尝试采用数字孪生技术研究影响导弹脱靶的关键因素。首先,基于云边协同计算的理念构建导弹的数字孪生模型,在“云-边-端”3个层次上实现导弹物理实体的数据采集、边缘侧数据超限判断及云端脱靶诊断和分析,完成导弹物理实体和云端数字孪生模型之间的映射和数据交互。然后,利用导弹历史脱靶时的超限参数数据,构建无向关系图,进而定性分析导弹脱靶和参数超限之间的关联关系。同时,利用无向图中节点度数、紧密度和介数,定量计算出各超限参数对导弹脱靶的影响程度,获得关键参数和参数组合。最后,以某反坦克导弹为例,验证了所提出方法的可行性和有效性。

The dependence of modern warfare on missiles continues to increase, and scientific analysis of the influencing factors of missile misses is of great significance for improving the accuracy of missile hits. With the continuous development of new technologies such as cloud computing, edge computing, Internet of Things and big data mining, especially the implementation of digital twin technology in various industries. This article attempts to use digital twin technology to study the key factors affecting missile misses. First, build a digital twin model of the missile based on the concept of cloud-side collaborative computing. Realize the data collection of the missile physical entity, edge-side data over-limit judgment, and cloud miss-target diagnosis and analysis on the three levels of “cloud-side-end”, thereby completing the mapping and data interaction between the missile physical entity and the cloud digital twin model. At the same time, the degree, tightness and betweenness of nodes in the undirected graph can be used to quantitatively calculate the influence of each over-limit parameter on the missile’s missed target, so as to obtain key parameters and parameter combinations. Finally, taking the XX anti-tank missile as an example, the feasibility and effectiveness of the proposed method are verified.