Big Data Based Analysis of Key Parameters of Airbus A321 Flight Trajectory

With the continuous innovation of aviation technology and computer technology, the analysis of flight data has a new direction. When computer simulation technology is combined with flight data, flight data can be presented in the form of images. At present, most of the data visualization is planar trajectory line display, and the trajectory is single, which cannot achieve multi-trajectory comparison. In order to solve the problem of singletrack display and poor contrast, this paper designs a file conversion method to realize the synchronous display of track in multiple periods on Google Earth platform. This paper uses PyCharm, Anaconda, Google Earth software, takes Airbus A321 data as the research object, carries out preprocessing, Comma Separated Values (CSV) file conversion Keyhole Markup Language (KML) file and data visualization function design, realizes the conversion of Airbus A321 data file to visualization file, so that the flight data is presented in the form of three-dimensional images on Google Earth, which visually shows the characteristics of the data.