Large-scale four-dimensional flight path dynamics prediction method and device

A dynamic prediction and large-scale technology, applied in the field of aerospace, can solve the problems of inability to predict trajectory dynamics, inability to quickly identify flights, etc.

Active Publication Date: 2019-01-11
BEIHANG UNIV
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Problems solved by technology

[0004] Aiming at the problems that the existing technology cannot dynamically predict the trajectory and cannot quickly identify flights...

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  • Large-scale four-dimensional flight path dynamics prediction method and device
  • Large-scale four-dimensional flight path dynamics prediction method and device
  • Large-scale four-dimensional flight path dynamics prediction method and device

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Embodiment Construction

[0072] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0073] The invention provides a large-scale four-dimensional track dynamic prediction method and device; it can process a large amount of track data between various city pairs in the airspace, has low algorithm complexity and high calculation accuracy, and can effectively solve the dynamic monitoring and control of track question.

[0074] The predictive device such as figure 1 As shown, it includes: information acquisition module, data preprocessing module, trajectory clustering module, dynamic data access module, identification and prediction module and result feedback module; the track historical data is extracted and preprocessed by the data preprocessing module, Avoid some noise, and then use the trajectory clustering module to calculate the track distance to achieve fine classification, and finally use the identification and prediction module t...

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Abstract

The invention discloses a large-scale four-dimensional flight path dynamics prediction method and device, and belongs to the technical field of aerospace. The device comprises an information obtainingmodule, a data pre-processing module, a track clustering module, a dynamic data access module, an identification and prediction module, and a result feedback module. The information obtaining modulesamples aviation data to constitute flight path sequences. The data pre-processing module removes noise points on each flight path sequence and re-samples the flight path sequences without the noise points. The track clustering module is used for clustering the flight path sequences. The dynamic data access module accesses real-time data, to obtain a four-dimensional vector at equal time intervalsto form flight path sequences. The identification and prediction module recognizes the abnormal flight mode and carries out trajectory prediction. The result feedback module reports the real-time flight path prediction and abnormal recognition conditions to the air traffic management department to guide flight operation in the airspace. Airspace smooth and safe operation is achieved, and great importance is achieved.

Description

technical field [0001] The invention belongs to the technical field of aerospace, and specifically refers to a large-scale four-dimensional trajectory dynamic prediction method and device. Background technique [0002] Under the background of more and more congested airspace and more and more tight resources, realizing the dynamic pattern prediction of flights is the key research content of air traffic management. [0003] Dynamically predicting the trajectory and identifying flights with abnormal flight behavior as soon as possible, and calculating the degree of deviation can greatly improve the safety of the airspace and individual flights. Therefore, a system that can dynamically predict the trajectory is very important for the safety and efficiency of air management. Contents of the invention [0004] Aiming at the problems that the existing technology cannot dynamically predict the trajectory and cannot quickly identify flights with abnormal flight behavior, the pres...

Claims

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Application Information

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IPC IPC(8): G08G5/00
CPCG08G5/0095
Inventor 曹先彬杜文博陈薏充李碧月刘妍
Owner BEIHANG UNIV
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