| 李梦谣,吴梦青,陈天齐,高欣慧,赵 倩.基于森林火灾热点数据的无人机优化组合调度研究[J].林业调查规划,2022,(2):65-69 |
| 基于森林火灾热点数据的无人机优化组合调度研究 |
| UAV Optimal Combination Scheduling Based on Fire Hotspots Data |
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| DOI： |
| 中文关键词: 森林火灾热点 无人机调度 人工蜂群算法 GIS空间分析 免疫优化 |
| 英文关键词: fire hotspots UAV scheduling artificial bee colony algorithm GIS spatial analysis immune optimization |
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| 摘要点击次数: 12 |
| 全文下载次数: 17 |
| 中文摘要: |
| 以澳大利亚东南部森林火灾为例，收集大量相关数据，利用ArcGIS分析得到火灾热点图，采用人工蜂群算法求解出无人机传输信号的最短路径，再根据多目标线性规划实现SSA无人机和无线电中继无人机的最优组合。通过分析地形对无人机信号传输的影响，建立了中继无人机选址优化模型，通过GIS空间分析法和免疫优化算法求得优化后无线电中继无人机的最优位置。该系统利用火灾热点数据，综合考虑观测及通信任务的需求和地形影响，实现了SSA无人机和无线电中继无人机的组合调度以及优化选址，为大型森林火灾扑救工作提供了研究思路。 |
| 英文摘要: |
| A large amount of forest fire-related data in southeastern Australia was collected, the fire hotspot map was obtained by ArcGIS analysis, the shortest path of UAV transmission signal was solved by artificial bee colony algorithm, and then the optimal combination of surveillance and situational awareness UAV and radio relay UAV was realized according to multi-objective linear programming. By assessing the influence of terrain on UAV signal transmission, an optimization model of relay UAV site selection was established, and the optimal position of the radio relay UAV was obtained through GIS spatial analysis method and immune optimization algorithm. The system used fire hotspots data, comprehensively considered the needs of observation and communication tasks and the impact of terrain, realized the combined scheduling of UAV and the optimization of site selection, providing research ideas for large-scale forest fire fighting work. |
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