Airspace risk modeling method for autonomous operation scene

Through the airspace risk modeling method based on artificial potential field theory and combined with the airspace hotspot grid marking, the problem of real-time measurement of airspace risks in autonomous operation mode is solved, multi-particle perception and rapid calculation of airspace safety situation are realized, and the ability to recognize airspace safety situations is improved.

CN119763376AActive Publication Date: 2025-04-04NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Application Number
CN202411770203.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-04
Publication Date
2025-04-04
Estimated Expiration
2044-12-04

AI Technical Summary

Technical Problem

The existing airspace risk assessment methods are difficult to meet the requirements of real-time measurement of risk at any location in the airspace under autonomous operation mode, especially in complex aviation environments with high density and multi-mode operation in the future.

Method used

The airspace risk modeling method based on artificial potential field theory is adopted, and the airspace risk assessment model is constructed in a comprehensive consideration of factors such as distance, velocity, and heading. In combination with the airspace hotspot grid marking method, multi-particle perception of the airspace safety situation is achieved.

Benefits of technology

It realizes rapid calculation and real-time assessment of risk at any location in the airspace, improves the airspace safety situation awareness in the autonomous operation mode, and provides a reference for track adjustment for future air traffic management and airborne assist systems.

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Abstract

The invention discloses an airspace risk modeling method for an autonomous operation scene, and belongs to the field of air transportation safety. In order to meet the requirements of airspace risk assessment refinement and instantaneity in a future autonomous operation mode, firstly, an aircraft ellipsoid risk influence area is established to determine a risk influence range, and an airspace is rasterized to improve the model calculation efficiency; secondly, constructing an airspace risk assessment model by comprehensively considering the real-time risk influence of factors such as distance, speed and course on each grid of the airspace based on an artificial potential field theory; setting a simulation scene, calculating the correlation between the conflict index and the airspace risk value, and explaining the reasonability of the model; and finally, providing an airspace hot spot grid marking method, and visualizing airspace hot spot distribution in combination with various grid scales. Based on the artificial potential field theory, the invention provides a quick calculation method for the risk of any position point of the airspace under an aircraft autonomous operation model, and realizes multi-particle perception of the airspace security situation from the perspective of spatial geography by combining a hot spot grid marking method and multiple scales of grids. And a reference is provided for air traffic management and track adjustment of an airborne auxiliary system in a future autonomous operation mode.
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