Multi-UAVs mission planning and design for earthquake scene
The development of the low-altitude economy has driven the application of drones in emergency rescue operations.To address the challenge of information retrieval caused by traffic disruptions after earthquakes,this study proposes a task planning method for multi-drone systems.A simulated environment was constructed to analyze the task planning requirements,with K-means clustering used for task allocation,RRT*for generating safe 3D paths,and the Ant Colony Optimization(ACO)algorithm for opti-mizing the execution sequence.Simulation results show that this method reduced solving time by 19.7%and path length by 4.6 km,effectively improving the efficiency of information retrieval after earthquakes and providing a reference for the application of drones in emergency rescue.
low-altitude economymultiple UAVstask planningearthquake scene
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