The invention provides an air traffic control analog simulation abnormality detection method and an air traffic control analog simulation abnormality detection device based on a multiple-regression model. The method comprises the following steps: acquiring sample data: collecting input parameters input by a controller on a radar control simulator through the radar control simulator, and corresponding normal state indexes, and performing standardized conversion on the input parameters to obtain the sample data; constructing the multiple-regression model of the sample data according to the input parameters, which are subjected to input parameter standardized conversion, and the normal state indexes, of the sample data; acquiring real-time simulated parameter data: performing simulated air traffic control operation by the controller through the radar control simulator to acquire real-time simulated parameters of the operation of the controller through the radar control simulator; performing standardized conversion on the real-time simulated parameters; calculating output results of the normal state indexes corresponding to the parameters subjected to the standardized conversion of the real-time simulated parameters. Therefore the air traffic control analog simulation abnormality detection method and the air traffic control analog simulation abnormality detection device which are convenient for controller training are provided.


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    Title :

    Air traffic control analog simulation abnormality detection method and device based on multiple-regression model


    Contributors:
    ZHANG JIANPING (author) / DUAN LIWEI (author) / LI YUNJIAN (author) / PENG XIAOFEI (author)

    Publication date :

    2015-12-02


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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