基于时空数据模型的障碍物数据集数据查询与应用研究

障碍物数据集是国际民航组织在航空情报管理（AIM）体系下提出的一种基于航空信息交换模型（AIXM）规范的航空情报数据集,该数据集中障碍物的查询将直接影响机场净空评估与飞行程序设计。在分析障碍物数据集的时间与空间属性基础上,利用时空数据模型与航空信息交换模型规范,提出一种基于时间点和空间位置的障碍物数据集查询方法, 用于解决障碍物数据集的查询问题;构建障碍物查询与可视化系统,并通过设计随机实验和实例应用对该方法的可行性和可靠性进行验证。结果表明：该障碍物数据集查询方法能够提取出对机场净空与飞行程序设计有影响的障碍物,增强了飞行程序设计人员对机场障碍物分布的情景意识。

Research on data query and application of obstacle dataset based on spatio-temporal data model

The obstacle dataset is a kind of aeronautical information dataset based on the AIXM specification proposed by ICAO under the Aviation Information Management (AIM) system. The query of the obstacle dataset will directly affect the airport clearance assessment and flight procedure design. Based on the analysis of the temporal and spatial attributes of the obstacle dataset, this paper proposes a temporal and spatial-based query method for the obstacle dataset using the spatio-temporal data model and the AIXM specification to solve the query problem of the obstacle dataset. To verify the feasibility and accuracy of the query method, an obstacle query and visualization system is constructed, and random experiments and example applications are designed to validate the method. The validation results show that according to the technique, the obstacles that impact on the airport clearance and flight procedure design can be extracted, and the flight procedure designers" situation awareness of the airport obstacle distribution can be enhanced.