The invention discloses a low-altitude aircraft air traffic management method and system, and relates to the technical field of aircraft air traffic management, and the method comprises the following steps: a traffic management system formulates the flight path, speed, course and formation of each unmanned plane according to a preset flight plan and performance demands before the flight performance begins; by monitoring the flight state of the unmanned aerial vehicle in real time and combining external disturbances such as wind speed and airflow, the path and speed of the unmanned aerial vehicle deviating from the trajectory can be dynamically adjusted, trajectory deviation caused by wind speed change is effectively prevented, the flight formation is kept stable, the relative distance is prevented from being too close or disordered, and the collision risk is reduced. Meanwhile, the deep learning model intelligently evaluates the flight consistency deviation, identifies the unmanned aerial vehicle deviating from the trajectory, and adjusts the path in time when the deviation exceeds a threshold value, thereby ensuring the flight safety, preventing the collision caused by the trajectory deviation, and guaranteeing the stability and safety of the group flight.
本发明公开了一种低空飞行器空中交通管理方法及系统,涉及飞行器空中交通管理技术领域,包括以下步骤:在飞行表演开始前,交通管理系统根据预设的飞行计划和表演需求,制定每架无人机的飞行路径、速度、航向和队形。本发明通过实时监控无人机飞行状态并结合风速、气流等外部扰动,能动态调整偏离轨迹的无人机路径与速度,有效防止因风速变化导致的轨迹偏离,从而保持飞行队形稳定,避免相对距离过近或错乱,减少碰撞风险。同时,深度学习模型对飞行一致性偏差进行智能化评估,识别偏离轨迹的无人机,并在偏差超过阈值时及时调整路径,确保飞行安全,防止因轨迹偏差引发的碰撞,保障群体飞行的稳定与安全。
Low-altitude aircraft air traffic management method and system
一种低空飞行器空中交通管理方法及系统
2025-04-29
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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