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.
Air traffic control analog simulation abnormality detection method and device based on clustering analysis method
02.12.2015
Patent
Elektronische Ressource
Englisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Europäisches Patentamt | 2015
|TRAFFIC ABNORMALITY DETECTION DEVICE, METHOD, AND ELECTRONIC APPARATUS
Europäisches Patentamt | 2022
|Europäisches Patentamt | 2021
|ABNORMALITY DETECTION DEVICE, ABNORMALITY DETECTION SYSTEM, AND ABNORMALITY DETECTION METHOD
Europäisches Patentamt | 2019
|ABNORMALITY DETECTION DEVICE, ABNORMALITY DETECTION SYSTEM, AND ABNORMALITY DETECTION METHOD
Europäisches Patentamt | 2021
|