Civil aircraft flight safety analysis method based on flight parameter data

Abstract

An embodiment of the invention provides a civil aircraft flight safety analysis method based on flight parameter data, and belongs to the technical field of avionics. The civil aircraft flight safetyanalysis method comprises the steps of: uploading the civil aircraft flight parameter data to a distributed computing platform, and forming data management and scheduling under a big data framework; acquiring civil aircraft flight parameter data characteristics through adopting a DBN deep learning method and an ED237 standard recommendation method; quickly acquiring the distribution condition of continuous quantity parameters in the civil aircraft data by adopting a distributed computing framework, and determining normal and abnormal distribution ranges; and establishing a fuzzy reasoning mathematic model, substituting the civil aircraft flight parameter data characteristics into the fuzzy reasoning mathematic model, and outputting a flight safety result. According to the civil aircraft flight safety analysis method, intrinsic information contained in civil aircraft flight parameter big data is fully utilized, deep learning and fuzzy reasoning methods are fused to comprehensively judgethe safety state of civil aircraft flight, and the confidence coefficient is high.

Description

technical field [0001] The present disclosure relates to the technical field of avionics, in particular to a flight safety analysis method of civil aircraft based on flight parameter data. Background technique [0002] The flight reference system completely records the various system parameters and crew operation data during the flight of the civil aircraft, and contains important information about the flight process. At present, the safety monitoring during the flight of civil aircraft is based on expert judgment to interpret a single parameter or a combination of a few parameters, but there are shortcomings of high false alarm rate and insufficient early warning. How to reflect the safety factor during the flight through the flight parameter data, timely warn the risks faced in the flight, and prevent flight accidents have become the focus of attention in the field of civil aircraft flight parameter data application. Contents of the invention [0003] In view of this, t...

AI Technical Summary

Problems solved by technology

At present, the safety monitoring during the flight of civil aircraft is based on expert judgment to interpret a single parameter or a combination of a few parameters, but there are shortcomings of high false alarm rate and insufficient early warning

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