计算机科学 ›› 2021, Vol. 48 ›› Issue (6A): 623-628.doi: 10.11896/jsjkx.210200021

• 交叉&应用 • 上一篇    下一篇

基于皮尔逊系数的管制仿真训练数据独立化与因子分析下的数据可视化研究

骆菁菁1, 唐卫贞2, 丁继婷3   

  1. 1 中国民用航空飞行学院空中交通管理学院 四川 广汉618307
    2 中国民用航空飞行学院民航监察员培训学院 四川 广汉618307
    3 中国民用航空华东地区空中交通管理局 上海200335
  • 出版日期:2021-06-10 发布日期:2021-06-17
  • 通讯作者: 骆菁菁(acool@cafuc.edu.cn)
  • 基金资助:
    民航安全能力项目:基于保障复杂度的民航中小机场空管人员培训体系建设(14002600100020J124);民航发展基金:民航监察员培训课程体系建设(2146999)

Research of ATC Simulator Training Values Independence Based on Pearson Correlation Coefficient and Study of Data Visualization Based on Factor Analysis

LUO Jing-jing1, TANG Wei-zhen2, DING Ji-ting3   

  1. 1 College of Air Traffic Management,Civil Aviation Flight University of China,Guanghan,Sichuan 618307,China
    2 CAAC Academy,Civil Aviation Flight University of China,Guanghan,Sichuan 618307,China
    3 East China Regional Air Traffic Management Bureau,Shanghai 200335,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:LUO Jing-jing,born in 1990,postgraduate,probationer.Her main research interests include air traffic control training data visualization and flight procedure design.
  • Supported by:
    Construction of Training System for Air Traffic Controllers in Medium and Small Airports of Civil Aviation Based on Complexity of Security(14002600100020J124) and Construction of Training Curriculum System for CAAC Supervisors(2146999).

摘要: 为解决管制仿真训练的指标重复性评分问题,文中基于皮尔逊相关系数进行指标关系研究,利用显著水平进行检验,并对评分数值算法进行修正。文中提取云端小程序评分数据库4 162项,以因子分析理论为研究方法,采用主成分分析法进行因子载荷阵求解,并使用正交旋转法扩大载荷值,合理解释公共因子,建立管制学员素质能力模型,实现数据可视化。研究结果显示,去关联性后的指标评分统一呈下降态势,起伏变化与原评价分基本一致,可依照数据相关性与数值独立性进行部分指标描述更改;因子分析后可通过雷达图清晰地反映出学员能力,显示学员素质能力的优劣情况,也便于科学地进行管制岗位分配,是数据可视化的有效运用。

关键词: 独立化, 管制仿真训练, 皮尔逊系数, 数据可视化, 因子分析

Abstract: In order to solve the problem of repeated scoring on training indicators of ATC simulation,the indicators' relationship is studied based on Pearson correlation coefficient,and the significance level is used to test and the scoring algorithm is modified.This paper extracts 4 162 items from the cloud small program scoring database,taks factor analysis theory as the research me-thod,uses principal component analysis method to solve the factor load matrix,and uses orthogonal rotation method to expand the load value,reasonably explains the common factors,establishes the quality and ability model of the control students,and realizs data visualization.The results show that the score of the indicators after de-correlation show a downward trend,and the fluctuation is basically the same as that of the original evaluation score.Some indicator descriptions can be changed according to the correlation and independent values.The ability value after factor analysis can clearly reflect the ability of students through radar chart,showing the quality and ability of students,and is also convenient for scientific control of post allocation,which is an effective application of data visualization.

Key words: Air traffic control simulator training, Data visualization, Factor analysis, Pearson correlation coefficient, Retrieval

中图分类号: 

  • V335
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