A training and evaluation method for VR simulated aircraft

Abstract

The invention discloses a training evaluation method for a VR simulated aircraft. The method does not need to firstly decompose the evaluation factors related to the operation effect into complex operations such as goals, criteria, and schemes in the AHP method, but all operation actions are Decompose it into basic action units, and decompose each training subject into several evaluation nodes, use machine learning to obtain the node evaluation network of evaluation nodes, and then use the deep learning method to obtain the entire The comprehensive evaluation results of the training subjects, so as to realize the real-time evaluation of the training process and the comprehensive evaluation of the entire subject. The method of the present invention is widely applicable to the operation effect evaluation of scripted and non-scripted training subjects, and can evaluate the simulated operation effect in real time according to the random operation of the trainees and the index operation points in the training, providing a basis for training guidance, significantly Improve training effectiveness.

Description

technical field [0001] The invention relates to the fields of machine intelligence and data processing, in particular to a training evaluation method for a VR simulated aircraft. Background technique [0002] The VR aircraft simulator training system is widely used in the field of flight training and special subject training because of its low training cost and convenient training preparation, and a better VR aircraft simulator training evaluation method is useful for finding training deficiencies, clarifying training and guidance It is essential to improve the effectiveness of training. [0003] At present, the evaluation method of simulation training mostly adopts the Analytic Hierarchy Process (AHP), which is widely used because of its concise and practical decision-making process, which requires less quantitative data information and can take into account the advantages of system. Some simulation training evaluation methods are only applicable to preset subjects and scr...

AI Technical Summary

Problems solved by technology

[0003] At present, the evaluation method of simulation training mostly adopts the Analytic Hierarchy Process (AHP), which is widely used because of its concise and practical decision-making process, which requires less quantitative data information and can take into account the advantages of system. Some simulation training evaluation methods are only applicable to preset subjects and scripted training systems, and cannot provide new solutions for decision-making and evaluation. It is difficult to obtain convincing evaluation results for non-scripted VR aircraft simulator training systems that pay attention to actual combat training effects. This seriously affects the effectiveness of training

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