CN-121747371-B - Airport control conflict resolution auxiliary method and system

CN121747371BCN 121747371 BCN121747371 BCN 121747371BCN-121747371-B

Abstract

The application relates to the technical field of air traffic management, in particular to an airport control conflict resolution auxiliary method and system, wherein the method comprises the steps of obtaining multi-source heterogeneous air traffic control signals, preprocessing and weighting fusion the multi-source heterogeneous air traffic control signals to generate aircraft dynamic data under a unified coordinate system; the method comprises the steps of obtaining historical conflict resolution success track data to generate an airport scene exclusive AEM sub-model, carrying out real-time conflict analysis and pre-judgment according to the airport scene exclusive AEM sub-model based on the aircraft dynamic data to generate risk early warning information, generating a control conflict resolution scheme according to the risk early warning information, and outputting the expected effect of the control conflict resolution scheme. The application can solve the problems of deviation of core data such as the position, the speed and the like of the aircraft caused by data isomerism in the prior art and poor adaptability to complex conflict scenes in the flying and taking-off stages caused by manpower.

Inventors

DING JITING
ZHU YUNYUN
ZHAO XUEDI
Xia Chihao
QIAN YICHENG
ZHU QI
ZHANG QIAN
SHI XIANGUI
YU LEI
DENG HAIYING
CAO YEXIU
DONG YUNLONG
CHEN WEIQING
YAO DI
OU YING

Assignees

上海民航华东空管工程技术有限公司

Dates

Publication Date: 20260508
Application Date: 20260302

Claims (10)

1. An airport control conflict resolution assistance method, the method comprising: Acquiring multi-source heterogeneous air duct signals, preprocessing and weighting fusion are carried out on the multi-source heterogeneous air duct signals, and aircraft dynamic data under a unified coordinate system are generated; Acquiring historical conflict resolution success track data, inputting the historical conflict resolution success track data into an AEM model, performing scene adaptation and parameter optimization, and generating an airport scene exclusive AEM sub-model; Based on the aircraft dynamic data, carrying out real-time conflict analysis and pre-judgment according to the airport scene exclusive AEM sub-model, and generating risk early warning information; And generating a control conflict resolution scheme according to the risk early warning information, and outputting the expected effect of the control conflict resolution scheme.
2. The airport control conflict resolution auxiliary method of claim 1, wherein obtaining multi-source heterogeneous air duct signals, and preprocessing and weighting fusion are performed on the multi-source heterogeneous air duct signals to generate aircraft dynamic data in a unified coordinate system, comprising: acquiring a multi-source heterogeneous air tube signal; Denoising, deduplicating, outlier rejection and time synchronization calibration processing are carried out on the multi-source heterogeneous empty pipe signals, and preprocessed heterogeneous empty pipe signals are generated; and carrying out weighted fusion on the preprocessed heterogeneous empty pipe signals, and generating aircraft dynamic data under a unified coordinate system.
3. The airport control conflict resolution assist method of claim 2 wherein weighting and fusing the preprocessed heterogeneous air traffic control signals and generating aircraft dynamic data in a unified coordinate system comprises: setting weights according to the preprocessed heterogeneous air pipe signals; and weighting and fusing the preprocessed heterogeneous empty pipe signals according to the set weight, and generating aircraft dynamic data under a unified coordinate system.
4. The airport control conflict resolution auxiliary method according to claim 1, wherein obtaining historical conflict resolution successful track data, inputting the historical conflict resolution successful track data into an AEM model and performing scene adaptation and parameter optimization, generating an airport scene exclusive AEM sub-model, comprising: Acquiring initial data of a release successful track, preprocessing the initial data of the release successful track, and generating historical conflict release successful track data; and inputting the history conflict resolution successful track data into an AEM model, performing scene adaptation and parameter optimization, and generating an airport scene exclusive AEM sub-model.
5. The airport control conflict resolution assistance method of claim 1, wherein based on the aircraft dynamic data, performing real-time conflict analysis and prognosis according to the airport scene-specific AEM sub-model, generating risk early warning information, comprising: based on the aircraft dynamic data, carrying out real-time conflict analysis and pre-judgment according to the airport scene exclusive AEM sub-model, and generating meeting probability, conflict point position and conflict time window; Generating a basic risk early warning according to the meeting probability and the conflict time window; And correcting the risk scene of the basic risk early warning according to the position of the conflict point, and generating risk early warning information.
6. The airport control conflict resolution assist method of claim 5, wherein generating the encounter probability comprises: Acquiring the dynamic data of the aircraft, and constructing a relative motion model according to the airport scene exclusive AEM sub-model; And generating meeting probability according to the relative motion model.
7. The airport control conflict resolution assist method of claim 6 wherein generating a conflict point location comprises: Deriving the relative motion model to obtain a minimum value, and obtaining a moment corresponding to the minimum value, and recording the moment as a conflict moment; Substituting the conflict moment into a motion trail equation of the aircraft to obtain coordinates of the position of the conflict point.
8. The airport control conflict resolution assist method of claim 7, wherein generating a conflict time window comprises: Acquiring a conflict time interval of which the distance of the aircraft is smaller than a safety interval; and generating a conflict time window according to the conflict time interval.
9. The airport control conflict resolution assistance method of claim 8, wherein generating a control conflict resolution scheme from the risk early warning information and outputting an expected effect of the control conflict resolution scheme comprises: screening similar conflict scenes from a historical track library according to the current conflict scenes corresponding to the risk early warning information; and generating a control conflict resolution scheme based on the similar conflict scene, and outputting the expected effect of the control conflict resolution scheme.
10. An airport control conflict resolution assist system, the system comprising: The multi-source heterogeneous data processing module is used for acquiring multi-source heterogeneous air duct signals, preprocessing and weighting fusion the multi-source heterogeneous air duct signals, and generating aircraft dynamic data under a unified coordinate system; the airport exclusive model generating module is used for acquiring historical conflict resolution success track data, inputting the historical conflict resolution success track data into the AEM model, performing scene adaptation and parameter optimization, and generating an airport scene exclusive AEM sub-model; the risk early warning information generation module is used for carrying out real-time conflict analysis and prejudgment according to the airport scene exclusive AEM sub-model based on the aircraft dynamic data to generate risk early warning information; And the conflict resolution scheme generating module is used for generating a control conflict resolution scheme according to the risk early warning information and outputting the expected effect of the control conflict resolution scheme.

Description

Airport control conflict resolution auxiliary method and system Technical Field The application relates to the technical field of air traffic management, in particular to an airport control conflict resolution auxiliary method and an airport control conflict resolution auxiliary system. Background Currently, the air conflict resolution in the airport control range mainly depends on the judgment and decision made by a controller based on an empty pipe automatic system, scene monitoring equipment and self experience. The controllers need to monitor the dynamic track, speed, altitude and other parameters of a plurality of aircrafts simultaneously, and a conflict resolution scheme is formulated by combining the layout of an airport runway, a taxiway and the airspace limit, so that the requirements on the professional ability and the emergency ability of the controllers are extremely high. The existing air traffic control automation system can be connected with air traffic control automation signals, scene monitoring radar signals, multi-point positioning signals and part of airborne signals to realize real-time monitoring of the position of the aircraft, but lacks a special conflict analysis model and an intelligent auxiliary tool aiming at take-off and take-off scenes, so that a series of problems are caused. Firstly, data heterogeneity exists among an air traffic control automation signal, a scene monitoring radar signal, a multi-point positioning signal and an airborne signal, and the existing system lacks an efficient signal fusion mechanism, so that deviation exists in core data such as the position, the speed and the like of an aircraft, and the collision judgment accuracy is affected. Secondly, the existing system can only provide basic position alarm, does not introduce professional conflict modeling analysis tools, and has poor suitability for complex conflict scenes in the missed approach and take-off stages. Therefore, it is desirable to design an airport control conflict resolution assistance method and system. Disclosure of Invention Based on the above, it is necessary to provide an airport control conflict resolution assisting method and system, which can solve the problem that in the prior art, core data such as the position and the speed of an aircraft have deviation due to data isomerism, and the problem that complex conflict scene suitability in the stage of flying and taking off is poor due to manual work. The technical scheme of the invention is as follows: an airport control conflict resolution assistance method, the method comprising: Acquiring multi-source heterogeneous air duct signals, preprocessing and weighting fusion are carried out on the multi-source heterogeneous air duct signals, and aircraft dynamic data under a unified coordinate system are generated; Acquiring historical conflict resolution success track data, inputting the historical conflict resolution success track data into an AEM model, performing scene adaptation and parameter optimization, and generating an airport scene exclusive AEM sub-model; Based on the aircraft dynamic data, carrying out real-time conflict analysis and pre-judgment according to the airport scene exclusive AEM sub-model, and generating risk early warning information; And generating a control conflict resolution scheme according to the risk early warning information, and outputting the expected effect of the control conflict resolution scheme. Optionally, acquiring a multi-source heterogeneous air duct signal, and preprocessing and weighting and fusing the multi-source heterogeneous air duct signal to generate aircraft dynamic data under a unified coordinate system, including: acquiring a multi-source heterogeneous air tube signal; Denoising, deduplicating, outlier rejection and time synchronization calibration processing are carried out on the multi-source heterogeneous empty pipe signals, and preprocessed heterogeneous empty pipe signals are generated; and carrying out weighted fusion on the preprocessed heterogeneous empty pipe signals, and generating aircraft dynamic data under a unified coordinate system. Optionally, the pre-processing heterogeneous air traffic control signals are weighted and fused, and aircraft dynamic data under a unified coordinate system is generated, including: setting weights according to the preprocessed heterogeneous air pipe signals; and weighting and fusing the preprocessed heterogeneous empty pipe signals according to the set weight, and generating aircraft dynamic data under a unified coordinate system. Optionally, obtaining historical conflict resolution success track data, inputting the historical conflict resolution success track data into an AEM model, performing scene adaptation and parameter optimization, and generating an airport scene exclusive AEM sub-model, including: Acquiring initial data of a release successful track, preprocessing the initial data of the release successful track, and generating histor