Overview of Application in Data Mining Techniques to QAR Data Ansys

Overview of Application in Data Mining Techniques to QAR Data Ansys

연구 분야: Databases

학회: 2022 2nd International Conference on Big Data Engineering and Education (BDEE)

To ensure flight safety, the Civil Aviation Administration of China (CAAC) requires commercial aircraft to be fitted with a Quick Access Recorder (QAR), which continuously records the aircraft's raw flight data and captures thousands of flight parameters. Currently there is limited awareness and application of QAR data. With the continuous development of data analysis technology, data mining methods have been applied to QAR data processing, providing strong support and guarantee for aviation safety. This paper introduces the basic theory of data mining, reviews the applications of data mining in civil aviation operational safety, flight status assessment and identification, and general aviation respectively based on the clustering results of the literature in the past 12 years, and finally summarises the current problems faced by QAR data mining and the future development direction.