场站飞行保障数据可视化平台设计与应用

为提升航空兵场站信息化建设过程中的数据应用与管理能力,提出了一种基于Spark的场站飞行保障大数据可视化平台.以场站信息化系统和物联网络数据采集数据为基础,利用Spark计算引擎集成Kafka消息队列,使用Hive完成数据列表库的建立和存储,基于Spark RDD和Spark SQL完成数据预处理与交互,并选择Vue框架嵌入ECharts组件完成前端数据可视化呈现,并最终对设计方案进行了实现与应用.相较于当前业务隔离的信息系统建设模式,平台具备更高的数据融合与处理分析能力,能够更好地实现场站飞行保障数据价值.

Design and Application of Visual Data Platform for Station Flight Support

For better data application and management capability of air-force stations in information construction, this study proposes a Spark-based visualization platform for flight security big data at the stations. On the basis of the data collected with the station informatization system and Internet of Things (IoT) data, a Spark computing engine is used to integrate Kafka message queues, and Hive is used for the establishment and storage of a data list library. Data pre-processing and interaction are completed on the basis of Spark RDD and Spark SQL, and the Vue framework is selected to embed ECharts components to visualize front-end data display. Finally, the design solution is implemented and applied. Compared with the current business-isolated information-system construction mode, the platform has higher abilities for data fusion and processing analysis and can better realize the value of flight security data at the stations.