Flight simulation training evaluation system and method based on multi-source data fusion in-research aircraft type

Abstract

The invention discloses a flight simulation training evaluation system and method based on multi-source data fusion under research aircraft type, and the system comprises a flight quality monitoring standard model, a standard evaluation monitoring model, and a monitoring project evaluation model, and the flight quality monitoring standard model comprises an FDR / QAR data standard parameter collection module. The standard evaluation monitoring model comprises an under-research aircraft type FDR / QAR data acquisition module, an under-research aircraft type standard matching comparison module and a standard comparison judgment module. According to the invention, the flight quality monitoring standard database is established through the flight quality monitoring standard model, so that the under-research aircraft type standard matching comparison module can conveniently compare the received under-research aircraft type engineering value parameters with the flight quality monitoring standard database and obtain the monitoring project overrun judgment result. And then the monitoring project evaluation model performs monitoring event evaluation according to the project weight value and the event deduction weight value, so that objective evaluation of flight training data is realized, and improvement of flight training and teaching guidance of a pilot is facilitated.

Description

technical field [0001] The invention relates to the field of flight training evaluation, in particular to a flight simulation training evaluation system and method based on multi-source data fusion for models under research. Background technique [0002] The flight training of simulator or aircraft or the model under research is divided into theoretical training and practical training, and practical training includes two aspects of normal procedure training and abnormal procedure and emergency procedure training in different flight stages. The normal procedure of operation training is to analyze and evaluate the technical problems of training quality. Simulator flight training is generally carried out according to several different subjects set for each flight stage such as pre-flight, engine start, slide-out, take-off, climb, cruise, descent, approach, final approach, go-around, landing, etc. of. Simulator flight training is to increase the pilot's proficiency in operatio...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of low degree of standardization of simulator training and lack of objective evaluation of flight training performance, the purpose of the present invention is to provide a flight simulation training evaluation system and method based on multi-source data fusion. The flight quality monitoring standard database, according to the flight quality monitoring requirements, the flight quality monitoring standard database is indexed and stored in a three-level structure according to the monitoring items, monitoring parameters B, and event overrun types, which is convenient for the standard matching and comparison module of models under research. Aircraft engineering value parameters are compared with the flight quality monitoring standard database to obtain the monitoring item overrun judgment result, and then the monitoring item evaluation model is used to score monitoring events according to the item weight value and event deduction weight value

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