Journal of Frontiers of Computer Science and Technology ›› 2021, Vol. 15 ›› Issue (6): 999-1025.DOI: 10.3778/j.issn.1673-9418.2012108

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Overview of Aviation Big Data Research

ZHAO Xuewu, WU Ning, WANG Jun, RUAN Li, LI Lingling, XU Tao   

  1. 1. College of Intelligent Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
    2. Big Data Science Research Institute, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
    3. School of Computer Science and Engineering, Beihang University, Beijing 100191, China
    4. Information Technology Research Base of Civil Aviation Administration of China, Civil Aviation University of China, Tianjin 300300, China
  • Online:2021-06-01 Published:2021-06-03



  1. 1.郑州航空工业管理学院 智能工程学院,郑州 450046
    2.郑州航空工业管理学院 大数据科学研究院,郑州 450046
    3.北京航空航天大学 计算机学院,北京 100191
    4.中国民航大学 中国民航信息技术科研基地,天津 300300


With the development of technologies such as Internet of things, cloud computing and artificial intelligence, big data becomes a research hotspot and is applied in many fields. The booming aviation field has natural big data soil, which has been paid more and more attention. In recent years, scholars have begun to study aviation oriented big data technology. Meanwhile airlines have also begun to use aviation big data to provide services for them, and promote it to the height of development strategy. Research and practice have shown that aviation big data can not only help to reduce the company??s operating costs, but also improve the quality of customer experience. In this paper, the definition of aviation big data is firstly given from the perspective of data and system, and the corresponding organization structures are described systematically. Secondly, the key technologies of aviation big data are elaborated in detail from five aspects: collection, storage management, preprocessing, analysis and virtual simulation and visualization, and some main models and algorithms are compared and analyzed. This paper describes the typical application scenarios of aviation big data from many aspects. Finally, the problems existing in aviation big data and the future research directions are analyzed in an in-depth way, so as to provide useful references for related research and applications.

Key words: big data, aviation big data, key technologies of aviation big data, virtual simulation, category systems



关键词: 大数据, 航空大数据, 航空大数据关键技术, 虚拟仿真, 分类体系