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...

Examples

Embodiment 1

[0050] Such as figure 1 As shown, a flight simulation training evaluation system based on multi-source data fusion under research includes a flight quality monitoring standard model and a standard assessment monitoring model. The flight quality monitoring standard model includes an FDR / QAR data standard parameter acquisition module. The FDR / QAR data standard parameter acquisition module is used to collect the parameter data of the airborne recording device FDR / QAR and decode and convert it into engineering value data (the aircraft parameter data collected by the FDR / QAR data standard parameter acquisition module of this embodiment The model corresponds to or is associated with the model under research. The monitoring items of the flight quality monitoring standard database cover the pre-flight, mid-flight, and landing phases of flight training), and the engineering value data includes monitoring parameters A, parameter technical indicators, flight quality The monitoring standa...

Embodiment 2

[0085] In this embodiment, the flight simulation training and evaluation system of the model under development adopts the flight simulation training and evaluation system of the model under research in Embodiment 1, and will not be repeated here.

[0086] A flight simulation training evaluation method based on multi-source data fusion, such as figure 1 As shown, it includes flight quality monitoring standard model, standard evaluation monitoring model and monitoring item evaluation model. The flight quality monitoring standard model includes the FDR / QAR data standard parameter acquisition module, and the standard evaluation monitoring model includes the FDR / QAR data acquisition module of the model under development. , The standard matching and comparison module of the model under research and the standard comparison and judgment module. The monitoring project evaluation model includes a monitoring event weight assignment module and a monitoring event scoring and statistics modu...

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...

Examples

Embodiment 1

[0050] Such as figure 1 As shown, a flight simulation training evaluation system based on multi-source data fusion under research includes a flight quality monitoring standard model and a standard assessment monitoring model. The flight quality monitoring standard model includes an FDR / QAR data standard parameter acquisition module. The FDR / QAR data standard parameter acquisition module is used to collect the parameter data of the airborne recording device FDR / QAR and decode and convert it into engineering value data (the aircraft parameter data collected by the FDR / QAR data standard parameter acquisition module of this embodiment The model corresponds to or is associated with the model under research. The monitoring items of the flight quality monitoring standard database cover the pre-flight, mid-flight, and landing phases of flight training), and the engineering value data includes monitoring parameters A, parameter technical indicators, flight quality The monitoring standa...

Embodiment 2

[0085] In this embodiment, the flight simulation training and evaluation system of the model under development adopts the flight simulation training and evaluation system of the model under research in Embodiment 1, and will not be repeated here.

[0086] A flight simulation training evaluation method based on multi-source data fusion, such as figure 1 As shown, it includes flight quality monitoring standard model, standard evaluation monitoring model and monitoring item evaluation model. The flight quality monitoring standard model includes the FDR / QAR data standard parameter acquisition module, and the standard evaluation monitoring model includes the FDR / QAR data acquisition module of the model under development. , The standard matching and comparison module of the model under research and the standard comparison and judgment module. The monitoring project evaluation model includes a monitoring event weight assignment module and a monitoring event scoring and statistics modu...

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