Overview of spatial data management methods based on digital twins for airport construction

The command and resource scheduling capabilities of the airport serve as crucial support for rapid take-off and landing, as well as efficient aircraft operations, the future intelligent airport scheduling poses new requirements for airport construction, it is necessary to effectively manage and analyze the vast and complex airport spatial data. To this end, the digital twin spatial data management methods for airport construction are comprehensively studied, and three different types of storage systems, general parallel computing framework, multi source data association algorithm and real time data processing engine have developed in this article, that can realize the whole time and space multi-dimensional data fusion management and the association and fusion between multi-source heterogeneous data entities, solve the problem of managing and analyzing the huge spatial data of the airport, to provide technical support for space-air big data analysis and mining.