Ground-to-air call data analysis method and system based on voice recognition

Abstract

The invention discloses a ground-to-air call data analysis method and a ground-to-air call data analysis system based on voice recognition. The method comprises the steps of continuously collecting and storing ground-to-air call voice data and radar data by means of an air traffic control recorder; converting into a wav format file through adaptive decoding; intercepting a complete statement to form a voice file through an endpoint detection technology based on deep learning; converting the voice file into text information through an air traffic control voice recognition model based on deep learning; determining control instruction intention and parameters through an air traffic control semantic understanding model based on deep learning; and performing ground-air call data analysis such as voice and instruction data statistical analysis, monitoring data and voice synchronous playback, key monitoring and the like based on each generated file. According to the method provided by the invention, the efficiency and accuracy of ground-air call data analysis work are comprehensively improved. The problem that during the air traffic control safety management practice, the control commandquality evaluation and the after-event analysis are carried out by completely relying on manual listening, recording, query and statistical analysis of ground-air calls is solved.

Description

technical field [0001] The invention relates to the technical field of civil aviation air traffic management, in particular to a voice recognition-based ground-air call data analysis method and system. Background technique [0002] The air traffic recorder shoulders the important task of recording ground-to-air voice and radar signals, and plays the role of a "black box" in air traffic management, and its importance is self-evident. According to relevant regulations, these important recorded image data and voice information need to be kept for at least 30 days, which is the main basis and means for the quality evaluation of air traffic control command, post-event analysis of errors, incidents, accidents, etc., and is also the continuous improvement of air traffic control departments. An important part of the internal management system. [0003] Air traffic control, ground and air calls are used as analog voice data. In the practice of air traffic control safety management, ...

AI Technical Summary

Problems solved by technology

[0003] Air traffic control, ground and air calls are used as analog voice data. In the practice of air traffic control safety management, ground and air calls can only be listened to manually through the recorder, and the voice content is manually recorded for control command quality evaluation and post-event analysis; for key monitoring All voices of the flight can only be monitored in sequence for all land and air calls during that period; monitoring data and voice data cannot be played back synchronously; statistics such as the number, duration, and terminology of various types of instructions can only be listened to and recorded manually, and cannot be quickly and efficiently quantified analyze

At present, there is still a lack of research on this aspect of the air traffic management voice recorder system

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