台风灾害下城市应急无人机三维路径规划与调度OA

With advances of low-altitude flight technology,unmanned aerial vehicles(UAVs)leveraging their three-dimensional maneuverability and low dependence on ground infrastructure,have become an effective means to im-prove response efficiency in disaster emergency material delivery.Focusing on urban emergency material delivery in the context of typhoon disasters,this study develops a three-dimensional path planning model that jointly incorpo-rates wind-field disturbances,dynamical energy consumption variations,and communication constraints,establish-ing a multi-objective optimization framework that couples energy consumption and timeliness.Path obstacle avoi-dance constraints were realized using 3D cuboid obstacle modeling and axis-aligned bounding box(AABB)intersec-tion detection,and these constraints were embedded into the NSGA-Ⅱ multi-objective evolutionary algorithm.The algorithm was further enhanced via hybrid encoding and penalty mechanism.In the constructed urban building complex scenarios and complex wind-field environment,compared with the MOEA/D method,comparative experi-ments against MOEA/D show that the improved NSGA-Ⅱ achieves an average improvement in the Hypervolume(HV)indicator of approximately 67.6%,exhibits higher solution stability and yields a more widely distributed solu-tion set,demonstrating superior algorithmic solving capability and stability.Three types of sensitivity experiments are conducted:wind speed variations,communication range changes,and the distribution of remote mission points.An adaptive dynamic scheduling mechanism is formulated for the initial emergency response phase,post-disaster re-covery phase,and normal operation phase,providing theoretical support and technical reference for UAV emer-gency logistics scheduling under extreme weather conditions.This study offers key decision-making insights for in-tegrating the low-altitude economy with resilient urban emergency management systems.