摘要
针对海量无人机数据的处理与分析,建设了一套通用地面站大数据平台,用于提供数据的采集、存储、预处理、特征分析及可视化等基础服务。基于JSON的数据预处理模板,实现了多类型无人机数据的通用化译码;基于DSL语句和分布式计算框架,实现了无人机的操控特征与安全边界分析;最后基于算法库对实际的无人机数据进行了分析,生成了相应的业务模型,实现了辅助决策和故障预测等应用。
To deal with the processing and analysis of massive UAV data, a general data platform for ground station is developed. It provides basic services such as data acquisition, storage, pre-processing, featixre analysis and visual display. The universal decoding of various types of UAV data is implemented through data preprocessing template based on JSON. The analysis of operation characteristics and security boundaries is implemented based on DSL and distributed computing framework. Finally, the actual UAV data is analyzed and trained into business models. The auxiliary decision and fault warning for UAV are applied.
作者
高平
商富凯
刘健
GAO Ping;SHANG Fu-kai;LIU Jian(China National Aeronautical Radio Electronics Research Institute,Shanghai 200241,China)
出处
《航空电子技术》
2019年第2期1-5,共5页
Avionics Technology
