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 clustering analysis method. 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 performing similarity calculation on the input parameters to obtain the sample data; acquiring simulated data: performing simulated air traffic control operation by the controller through the radar control simulator to acquire real-time simulated data of the operation of the controller through the radar control simulator; performing similarity calculation on the simulated data: performing similarity calculation on the real-time simulated data; judging a threshold value: when the real-time simulated data exceed a sample data preset range, prompting the controller that the simulation operation is abnormal, wherein a similarity calculation result is obtained according to a clustering processing algorithm. Therefore whether the analog simulation operation is abnormal or not can be prompted to the controller by directly combining classified sample data with a similarity threshold value when the controller performs subsequent operation on the radar control simulator.


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    Title :

    Air traffic control analog simulation abnormality detection method and device based on clustering analysis method


    Contributors:
    ZHANG JIANPING (author) / YE QING (author) / ZHANG RUIPING (author) / ZHANG HUAICAI (author) / XIE LEI (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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