灾害救援中无人机资源优化配置仿真研究

Simulation Research on Resource Optimization Configuration of UAV in Earthquake Rescue

在灾害救援过程中,无人机可以高效地完成灾情勘查、巡查采集、生命探测和通信中继等任务,为救援行动提供可靠的数据支撑。为了实现无人机资源合理分配和高效运用,提出了以多目标规划和聚类分析为核心的优化策略。建立了提高巡查区域覆盖率和降低无人机使用数量的多目标规划模型,解决了多区域巡查最短路径优化问题。通过聚类分析和静态布局,解决了满足最大搜救和中继需求中无人机资源的优化配置问题。通过仿真验证,得到了降低救灾资源消耗的可行性方案,解决了无人机续航受限、侦察传输受限、易受地形影响等实际问题。

In the process of earthquake rescue, the use of drones for efficient inspection, life detection, communication relay and data transmission can provide reliable data support for rescue operations. In order to realize the rational allocation and efficient use of UAV resources, an optimization strategy based on multi-objective programming and cluster analysis is proposed. Firstly, a multi-objective planning model for improving coverage of inspection areas and reducing the number of UAVs used was established, which solved the problem of shortest path optimization for multi-area inspections. Secondly, through cluster analysis and static layout, the problem of optimal configuration of UAV resources in meeting the maximum search and rescue and relay requirements was solved. Finally, through simulation, the feasible scheme for reducing the consumption of disaster relief resources was obtained, which solves the practical problems such as limited drone duration, limited reconnaissance transmission and terrain influence.