Hangkong gongcheng jinzhan (Feb 2023)

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

  • LAI Xin,
  • LIANG Changsheng,
  • ZHU Meiling

DOI
https://doi.org/10.16615/j.cnki.1674-8190.2023.01.20
Journal volume & issue
Vol. 14, no. 1
pp. 165 – 174

Abstract

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The obstacle dataset is a kind of aeronautical information dataset based on the aeronautical information exchange model (AIXM) specification proposed by International Civil Aviation Organization (ICAO) under the aviation intelligence management(AIM) system.The query of the obstacle dataset can directly affect the airport clearance assessment and flight procedure design.Based on the analysis of the temporal and spatial attributes of the obstacle dataset, an obstacle dataset query method based on temporal point and spatial location is proposed by using the spatio-temporal data model and AIXM specification to solve the query problem of the obstacle dataset.The obstacle query and visualization system is constructed, and the random experiments and example applications are designed to verify the feasibility and reliability of the query method.The results show that according to the method,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.

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