A flight push-out status monitoring method based on multimodal data fusion

Abstract

The invention discloses a multi-modal data fusion-based method for monitoring flight status, belonging to the technical field of air traffic control automation systems. 1. Build a flight intention recognition model, extract aircraft actions from real-time surveillance video, and capture flight intentions; 3. Build intention alignment fusion rules to determine whether there is a conflict between control intention information and flight intention information. By fusing control intentions and flight intentions, this method can realize the following auxiliary functions: timely judge whether the aircraft follows the push-off instructions issued by the controller, if the captain does not act in accordance with the control instructions, or acts without control instructions , the inconsistency alarm will be issued to realize the monitoring function of the flight launch status.

Description

technical field [0001] The invention belongs to the technical field of air traffic control automation systems, and in particular relates to a multi-mode data fusion-based method for monitoring the flight status. Background technique [0002] With the vigorous development of China's civil aviation industry in the past 30 years, the demand for air traffic management has continued to expand, resulting in increasingly prominent safety hazards. Among them, the flight on the parking stand did not implement the controller's push-out instructions, and pushed out after a period of time without authorization, which would cause taxiway conflicts and cause safety hazards. The current handling process is as follows: If a flight rolls out of the parking stand after a certain period of time and slides onto the taxiway, it is considered an invalid behavior, and the controller will issue an order to let the flight slide into the parking stand again. There is a huge safety hazard in this pro...

AI Technical Summary

Problems solved by technology

This process has huge safety hazards, that is, the flight may not be discovered until it taxis to the taxiway. If there is a taxiway conflict or the scene is busy, there will be serious consequences

In response to this problem, controllers can only rely on the scene surveillance system for real-time tracking, resulting in lag and inefficiency in problem discovery

[0003] The difficulty of this problem is that currently there is no system that can identify the intention of the controller and the intention of the flight, so it is difficult to judge whether the two intentions are consistent, and it is impossible to prevent conflicts caused by non-executed instructions or unauthorized execution of instructions

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