The invention discloses an aircraft-oriented low-altitude task unloading method, device and system, and relates to the field of aircrafts. The method comprises the following steps: collecting current flight state information of an aircraft; establishing a task unloading constraint optimization problem according to the current flight state information of the aircraft; constructing a deep reinforcement learning network model required by the deep reinforcement learning and task unloading scene; and solving the task offload constraint optimization problem by using the deep reinforcement learning network model to obtain a low-altitude task offload resource allocation planning result. According to the invention, by designing an intelligent resource planning algorithm based on deep reinforcement learning and actively learning a mapping relation between each task and a multi-dimensional resource in different scheduling time slots, cooperative adaptation from task data to low-altitude computing power equipment can be realized more quickly and efficiently; and the unloading success rate of the electric vertical take-off and landing aircraft task in each scheduling time slot is improved.
本发明公开一种面向飞行器的低空任务卸载方法、装置及系统,涉及飞行器领域。所述方法包括:采集飞行器当前飞行状态信息;根据飞行器当前飞行状态信息建立任务卸载约束优化问题;构建深度强化学习和任务卸载场景所需的深度强化学习网络模型;利用深度强化学习网络模型求解任务卸载约束优化问题,得到低空任务卸载资源分配规划结果。本发明通过设计一种基于深度强化学习的智能资源规划算法,通过主动学习不同调度时隙内各任务与多维资源之间的映射关系,能够更加快速、高效的实现任务数据到低空算力设备的协同适配,提升每个调度时隙电动垂直起降飞行器任务的卸载成功率。
Aircraft-oriented low-altitude task unloading method, device and system
一种面向飞行器的低空任务卸载方法、装置及系统
15.04.2025
Patent
Elektronische Ressource
Chinesisch
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