Air traffic controller security ability automatic monitoring system based on intelligent headset

Abstract

The invention relates to the field of air traffic security management and particularly relates to an air traffic controller security ability automatic monitoring system based on an intelligent headset. The air traffic controller security ability automatic monitoring system based on the intelligent headset comprises a state data quantization module for collecting human physiological and psychological state data, a state information database module for storing historical data and real-time data of personnel physiological and psychological state data, a security capability evaluation module for evaluating physiological and psychological elements of a controller, a security capability real-time monitoring module for timely monitoring human state data and corresponding security capabilities, and a security capability management module for performing statistical analysis of physiological and psychological data of the controller. The invention can be applied to air traffic control of civil aviation.

Description

technical field [0001] The invention relates to the field of air traffic safety management, in particular to an automatic monitoring system for the safety capability of air traffic controllers based on an intelligent headset. Background technique [0002] The accident causation theory shows that the direct cause of the accident is nothing more than two factors: the unsafe behavior of people and the unsafe state of things. Practice has proved that in the air traffic management activities, the unsafe factors of things are relatively objective and stable, while the physiological and psychological state of people is subject to considerable subjectivity and contingency because they are easily affected by themselves and the outside world. Major factors in unsafe incidents. [0003] In air traffic management activities, human is the main body of decision-making and control, and human behavior has a decisive impact on air traffic safety. Therefore, the physiological and psychologi...

AI Technical Summary

Problems solved by technology

However, due to the lack of collection methods and evaluation models for such data in traditional safety management, it is very difficult to monitor the physiological and psychological state of controllers in real time, so they can only rely on manual (mainly on-the-spot) judgments on the spot, which not only lacks objective basis, but also affects Fairness and transparency, while there is a lag in judgment and decision-making, which can easily trigger security issues

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