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

• Surveys and Frontiers • Previous Articles     Next Articles

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

航空大数据研究综述

赵学武吴宁王军阮利李玲玲徐涛   

  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

Abstract:

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

摘要:

大数据伴随着物联网、云计算和人工智能等技术的发展成为目前的研究热点,并在许多领域得到了应用。蓬勃发展的航空领域具备天然的大数据土壤,受到人们越来越高的重视。近年来,学者们开始研究面向航空的大数据技术;航空公司也着手利用航空大数据为其提供服务,并将之提升至发展战略的高度。已有研究和实践表明,航空大数据不仅有利于降低航空公司的运营成本,而且可以提升客户的体验品质。首先从数据和系统性两个角度给出了航空大数据的定义,并对相应的组织结构进行了比较系统的论述;然后从采集、存储管理、预处理、分析和虚拟仿真与可视化五个方面详细阐述了航空大数据中的关键技术,并对其中一些主要的模型和算法进行了比较分析;其次从多个方面描述了航空大数据的典型应用场景;最后深入地分析了航空大数据中存在的问题及未来的研究方向,以期对相关研究应用提供有益的参考。

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