基于多无人机的森林火灾搜索与监测解决方案

Yintao Zhang, Youmin Zhang, Ziquan Yu
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引用次数: 7

摘要

森林火灾通常发生在地形复杂的地区,地面车辆难以进入这些火区。近年来,无人驾驶飞行器(uav)越来越受到人们的重视,成为森林火灾搜索和监测的一种很有前景的解决方案。探讨了无人机在野外森林火灾搜索和火灾边界监测任务中的应用。首先,利用FARSITE火灾模型模拟真实的野外火灾行为。然后,利用遗传算法求解火灾搜索问题。然后,研究了一种协同火灾监控算法。最后,仿真结果表明了所提出的搜索和监测方法的有效性。
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A Solution for Searching and Monitoring Forest Fires Based on Multiple UAVs
Forest fires usually appear in complicated terrain, as a result, ground vehicles are obviously inaccessible to these fire areas. In recent years, Unmanned Aerial Vehicles (UAVs) have been paid increasing attention and become a very promising solution to forest fires searching and monitoring. This paper explores the application of UAVs in the wild forest fires searching and fire frontier monitoring mission. First, the FARSITE fire model is used to simulate the realistic wild fire behavior. After that, the fire search problem is solved with Genetic Algorithm (GA). Then, a cooperative fire monitoring algorithm is investigated. Finally, simulation results show the effectiveness of the proposed searching and monitoring methods.
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