地震场景下无人机路径规划设计

UAV Path Planning Problem in Earthquake Scenario

无人机路径规划技术为无人机自主飞行和低空交通管理提供了技术支持,也是无人机可以实现抗震救灾的重要前提。面向地震场景,结合灾区环境以及相关需求,研究地震灾情的无人机救灾最优路径规划方法。搭建地震受灾环境,设计模拟真实情况的地震场景。选用蚁群算法中的三维路径规划算法,搜索从出发点到疑似点的最优路径。通过仿真验证了模型的可行性和有效性。

In earthquake scenarios,drones can quickly complete several emergency tasks,with special advantages that many other means of transportation do not have.UAV path planning technology provides technical support for UAV autonomous flight and low altitude traffic management,and is also an important prerequisite for UAV to achieve earthquake relief.Facing the earthquake scene,this work studies the optimal path planning method for UAV disaster relief based on the disaster environment and related needs.First,build an earthquake stricken environment and design earthquake scenarios that simulate real situations.Secondly,the 3D path planning algorithm in the ant colony algorithm is selected to search for the optimal path from the starting point to the suspected point.Finally,the feasibility and effectiveness of the model are verified by simulation.