Control tower control effectiveness evaluation index association relationship analysis method

A technology of performance evaluation and association relationship, applied in data processing applications, instruments, calculations, etc., can solve the problem of not being able to obtain the direction of index association.

Pending Publication Date: 2021-02-09
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

At present, the calculation of correlation in the field of air traffic control mostly adopts linear relationship methods such as Pearson correlation coefficient method and spearman correlation coefficient method. There are linear correlation, nonlinear correlation and functional correlation, but the maximum mutual information method cannot obtain the correlation direction between indicators, so the confirmation of the correlation direction is still judged by the traditional method, and the degree of correlation is more accurate using the maximum interaction Calculation between indicators by information method

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  • Control tower control effectiveness evaluation index association relationship analysis method
  • Control tower control effectiveness evaluation index association relationship analysis method
  • Control tower control effectiveness evaluation index association relationship analysis method

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[0167] Such as figure 1 with Figure 4 As shown, the present invention discloses a MINE-Spearman model-based correlation analysis method for tower control effectiveness evaluation indicators, which belongs to the field of air traffic evaluation. This method first analyzes the tower based on the process method theory and selects the computable air traffic control tower index, and then cleans the data to ensure the consistency of the data time interval. The indicators were calculated, and finally 744 groups of air traffic control tower evaluation samples were sorted out; then the selected 13 tower indicators were grouped in pairs to form 78 different combinations of indicator pairs, and the correlation degree value was obtained by the maximum mutual information method (MIC value), and the value of the Spearman rank correlation coefficient between indicators is calculated by the Spearman correlation coefficient method, so as to determine the direction of correlation. Specific e...

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Abstract

The invention provides a control tower control effectiveness evaluation index association relationship analysis method, which comprises the following steps of: firstly, cleaning original data, removing abnormal values and repeated values, and filling missing values; selecting a part of calculable representative indexes of the air traffic control tower based on a process method, establishing a maximum interaction information method non-parametric model between the index pairs, and solving a maximum information coefficient (MIC) to determine the correlation strength between the indexes; and identifying the associated direction in an assisted manner according to a Spearman correlation coefficient method, and finally, obtaining the air traffic control tower index association relationship. By using the Spearman correlation coefficient method, the problem that the maximum nonparametric model cannot determine the correlation direction between the indexes is solved, the limitation and accuracyof the Spearman correlation coefficient method for judging the correlation degree between the nonlinear indexes are improved through the maximum nonparametric model, and a foundation is laid for improving the control efficiency of a control tower.

Description

technical field [0001] The invention belongs to the field of air traffic evaluation, and in particular relates to a method for analyzing the association relationship of tower control efficiency evaluation indexes. Background technique [0002] The correlation analysis method of tower control effectiveness index is a key step in the evaluation process. The selection of evaluation index should take into account the principles of scientificity, independence, and applicability of the index; and the calculation of the index correlation is to analyze the degree of correlation between the indicators. Only by reducing the dimensionality or simplifying the indicators with a high degree of correlation in the later stage can the principle of independence of the indicators be guaranteed, and the calculation of repeated factors will lead to distortion of the evaluation results. At present, the calculation of correlation in the field of air traffic control mostly adopts linear relationshi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/30
CPCG06Q10/06393G06Q50/30
Inventor 李印凤付胜豪徐萌王小文董斌
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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