Method for monitoring and analyzing illegal operation of controller based on air traffic control voice recognition

A voice recognition and operation monitoring technology, applied in the field of civil aviation air traffic management, to achieve the effect of improving coverage and accuracy and reducing workload

Pending Publication Date: 2022-02-15
SICHUAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional security management model has the drawback of "emphasizing results, ignoring process, phasing out punishments, and ignoring rewards". Currently, the commonly used control security analysis tools, such as the scene recording and playback system of the aerial automation system, and the digital recorder system, can only focus on control The post-event playback and analysis of the accident has always lacked quantitative tools for direct and precise supervision and management of the control process

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  • Method for monitoring and analyzing illegal operation of controller based on air traffic control voice recognition
  • Method for monitoring and analyzing illegal operation of controller based on air traffic control voice recognition
  • Method for monitoring and analyzing illegal operation of controller based on air traffic control voice recognition

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Embodiment 1

[0055] This embodiment proposes a method for monitoring and analyzing illegal operations of controllers based on air traffic control voice recognition, which is used to monitor and analyze whether the operations of controllers violate regulations during aviation flights; figure 1 As shown, the method includes the following steps:

[0056] Step 1: Receive the uplink and downlink voice call data of the real-time ground-to-air call between the controller and the pilot during the flight, preprocess the received uplink and downlink voice call data, and output the preprocessed voice call audio file;

[0057] Step 2: Using deep learning algorithms, combined with the professional terminology database used by aviation air traffic control, build a recognition engine for converting voice and audio into text instructions in advance; and then use the recognition engine to convert the preprocessed voice Convert call audio files to text labels;

[0058] Step 3: Using deep learning algorithm...

Embodiment 2

[0064] On the basis of the above-mentioned embodiment 1, this embodiment proposes a method for monitoring and analyzing illegal operations of controllers based on air traffic control voice recognition, which is used to monitor and analyze whether the operations of controllers violate regulations during the flight process; Such as figure 1 , figure 2 As shown, it specifically includes the following steps:

[0065] Step 1: Access the real-time air traffic control ground-to-air call voice signal, and complete the preprocessing of the voice signal, including voice quality analysis, voice smoothing processing, voice noise reduction processing, voice endpoint detection, etc., to realize continuous voice signal cutting and output audio files in wav format;

[0066] Step 2: The audio files processed in Step 1 are identified according to the civil aviation industry standard "Air Traffic Radio Call Terms" (MH / T 4014-2003), and the identification contents include but not limited to: a...

Embodiment 3

[0073] On the basis of any one of the above-mentioned embodiments 1-2, this embodiment proposes a method for monitoring and analyzing illegal operations of controllers based on air traffic control voice recognition, which is used to check whether the operations of controllers violated regulations during the flight process. for monitoring and analysis; such as figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 As shown, it specifically includes the following steps:

[0074] Step 1: Voice data access and preprocessing

[0075] The process of voice data access and preprocessing is as follows: figure 2 As shown, the multi-channel voice data (uplink and downlink voice) is connected from the distribution frame of the recorder and the main distribution frame of the intercom system, and the preprocessing of the voice data is completed, including voice quality analysis, voice smoothing processing, and voice noise reduction processing , voice endpoint detection, etc., to rea...

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Abstract

The invention provides a method for monitoring and analyzing illegal operation of a controller based on air traffic control voice recognition. The method employs the newest artificial intelligence technology to compare the voice communication between the controller and an aircraft and the actual operation behavior of the controller with a standard operation specification, and judges whether the controller has the illegal operation behavior or not. According to the recorded violation operation behaviors of the controller and the analysis result, in combination with a reasonable management system, the violation behaviors of the controller can be more effectively reduced, and unsafe events and accidents of air traffic control are reduced.

Description

technical field [0001] The invention belongs to the technical field of civil aviation air traffic management, and in particular relates to a method for monitoring and analyzing illegal operations of controllers based on air traffic control voice recognition. Background technique [0002] With the rapid development of my country's civil aviation industry, it has brought great convenience to people's travel. The safe operation of civil aviation is not only closely related to people's life safety and property safety, but also closely related to economic development. Air traffic controllers play an integral and important role in the air traffic management system. With the increase of air traffic flow year by year, the airspace command environment faced by air traffic controllers is becoming more and more complex, and there are more and more illegal operations such as "mistakes, omissions, and forgetting" in the control process, causing many safety hazards . [0003] Controller...

Claims

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Application Information

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IPC IPC(8): G10L15/22G10L15/05G10L15/06G10L21/0208G10L25/60G08G5/00
CPCG10L15/22G10L15/05G10L15/063G10L21/0208G10L25/60G08G5/0026G10L2015/223
Inventor 余静杨波彭心亮朱中阳林毅
Owner SICHUAN UNIV
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