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基于蚁群算法的森林火灾监控预警无人机最佳方案研究

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无人机技术的发展与应用正越来越深刻地影响着社会生活的方方面面,近些年来,无人机也被广泛应用于森林火灾的监控与预警。然而,目前所使用的SSA无人机与装置了中继器的无人机造价高昂,为节省经济成本,需要对监控火灾的两种无人机进行合理的配置。本文以维多利亚州为例,首先利用tableau对火灾频率分布进行区域化,将需要监控的地区划分为威胁区与非威胁区,通过蚁群算法得到无人机最优航线路径;在综合考虑上述因素的情况下,利用线性规划模型给出火灾情况监控预警无人机最佳数量组合方案。
Studyonthe Optimal Number Combination Scheme of Forest Fire Monitoring and Warning UAV Based on Ant Colony Algorithm
The development and application of UAV technology are affecting all aspects of social life more and more profoundly.In recent years,UAVs have also been widely used in forest fire monitoring and warning.However,the SSA UAVs and UAVs equipped with Repeaters,which are commonly used at present,are costly.In order to save the economic cost,reasonable con-figuration of two UAVs for fire monitoring is needed.In this paper,the state of Victoria was regarded as an example.Firstly,tableau was used to regionalize the fire frequency distribution,and the areas to be monitored were divided into threat areas and non-threat areas,and the optimal route of UAV was obtained by ant colony algorithm.Considering the above factors,the op-timal number combination scheme of fire monitoring and warning drones is given by using a linear programming model.

ant colony algorithmlinear programmingfire monitoringfire warningUAVoptimal scheme

储亚伟、刘慧慧、李奥、王志萍

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阜阳师范大学数学与统计学院,安徽阜阳 236037

蚁群算法 线性规划 火灾监控 火灾预警 无人机 最佳方案

2024

信阳农林学院学报
信阳农业高等专科学校

信阳农林学院学报

影响因子:0.167
ISSN:2095-8978
年,卷(期):2024.34(3)