Method for calculating distance of aircraft deviating from runway center line based on QAR data

Abstract

The invention discloses a QAR data-based method for calculating the distance of an aircraft deviating from a runway center line. The method comprises the following steps of 1, judging a runway on which the aircraft needs to land according to GPS signal data or approaching runway number data recorded in QAR data; 2, the length S of a runway where an airplane needs to land and the distance L1 from an LOC signal station to the tail end of the runway are obtained from an airport database; 3, when the aircraft approaches in a blind landing mode, the real-time distance L3 between the aircraft and the runway entrance is calculated; 4, calculating the distance L2 between the real-time position of the airplane and the tail end of the runway; wherein L2 = S-L3, and the like. According to the method, the ground physical LOC signal station is used as a reference, the deviation between the actual position of the aircraft and the runway center line can be effectively calculated, and the risk that correct operation of a pilot is misjudged to deviate from the runway can be avoided.

Description

technical field [0001] The invention relates to the technical field of civil aviation safety, in particular to a method for calculating the distance of an aircraft departing from the center line of a runway based on QAR data. Background technique [0002] The risk of running off the runway has always been one of the important risks in the civil aviation industry. At the current stage, domestic civil aviation monitors the risk of running off the runway mainly through the low altitude slope and the deviation of the heading change after touchdown. For the deviation relative to the centerline of the runway, the above method can identify the risk of deviation from the runway to a certain extent, but when the low-altitude turbulence affects the normal landing trajectory of the aircraft, the pilot actively corrects the slope and brings the aircraft closer to the centerline of the runway. One type of phenomenon is easily misjudged as the risk of excursion from the runway, but it is ...

AI Technical Summary

Problems solved by technology

[0002] The risk of running off the runway has always been one of the important risks in the civil aviation industry. At the current stage, domestic civil aviation monitors the risk of running off the runway mainly through the low altitude slope and the deviation of the heading change after touchdown. For the deviation relative to the centerline of the runway, the above method can identify the risk of deviation from the runway to a certain extent, but when the low-altitude turbulence affects the normal landing trajectory of the aircraft, the pilot actively corrects the slope and brings the aircraft closer to the centerline of the runway. One type of phenomenon is easily misjudged as the risk of excursion from the runway, but it is actually a normal flight operation to reduce the risk of excursion from the runway

It can be seen that the traditional method is prone to misjudgment when judging the risk of the aircraft veering off the runway. In order to more accurately determine whether the aircraft is at risk of veering off the runway, this application provides a method based on QAR data. calculation method

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