安徽农学通报 >
2026 , Vol. 32 >Issue 11: 111 - 114
DOI: https://doi.org/10.16377/j.cnki.issn1007-7731.2026.11.027
无人机在林场森林防火中的应用
|
李伟波(1984—),男,山东高青人,硕士,工程师,从事林业资源规划、保护等工作。 |
Office editor: 张琴
收稿日期: 2025-08-12
网络出版日期: 2026-06-12
Application of UAVs in forest fire prevention of forest farms
Received date: 2025-08-12
Online published: 2026-06-12
本文围绕林场森林防火需求,系统探讨无人机在火灾监测、火势评估、灭火指挥辅助、灾后评估及生态修复等环节的多元应用路径。在火灾监测方面,无人机搭载高清光学、红外热成像及多光谱设备,实现早期阴燃火点识别、火场动态实时监控与着火点精准定位。在火势评估中,依托火焰亮度、温度分布及气象地形数据,无人机能够评估火势强度、预测蔓延趋势。在灭火指挥辅助环节,无人机支持灭火力量调度、策略动态调整及临时通信组网。灾后阶段,无人机可快速测算过火范围与林木损失。针对续航能力、信号传输、数据处理、专业人才及空域管理等方面存在的提升空间,未来发展趋势聚焦于新型能源与高性能传感器研发、5G与卫星通信融合、多机协同组网、天地空一体化监测体系构建,以及大数据、云计算与物联网技术的集成。同时,加强复合型人才培养和行业标准制定,全面推动无人机在森林防火领域的智能化与规范化发展。本文为林场无人机森林防火应用实践提供参考。
李伟波 , 刘成静 , 延紫月 . 无人机在林场森林防火中的应用[J]. 安徽农学通报, 2026 , 32(11) : 111 -114 . DOI: 10.16377/j.cnki.issn1007-7731.2026.11.027
This paper focused on the fire prevention needs of forest farms and systematically explored the diverse application pathways of drones in fire monitoring, fire intensity assessment, firefighting command assistance, post-fire evaluation, and ecological restoration. In terms of fire monitoring, drones equipped with high-definition optical, infrared thermal imaging, and multispectral devices achieved early identification of smoldering fire sources, real-time dynamic monitoring of fire scenes, and precise positioning of ignition points. In fire intensity assessment, relying on flame brightness, temperature distribution, and meteorological and topographical data, drones were able to assess fire intensity and predict fire spread trends. In the firefighting command assistance phase, drones supported the dispatch of firefighting forces, dynamic strategy adjustment, and temporary communication networking. In the post-fire stage, drones rapidly calculated the burned area and forest losses. In view of the room for improvement in endurance, signal transmission, data processing, professional personnel, and airspace management, future development trends focused on the research and development of new energy sources and high-performance sensors, the integration of 5G and satellite communication, multi-UAV cooperative networking, the construction of an integrated space-air-ground monitoring system, and the integration of big data, cloud computing, and the Internet of Things. Meanwhile, strengthening the cultivation of interdisciplinary talents and the formulation of industry standards would comprehensively promote the intelligent and standardized development of drone applications in forest fire prevention. This paper provided a reference for the practical application of drones in forest fire prevention in forest farms.
Key words: UAV; forest farm; forest fire prevention; fire monitoring
| [1] |
方贤锋. 贵州省拱拢坪国有林场森林生长收获模型研建[D]. 贵阳:贵州大学,2022.
|
| [2] |
卢小娟,曾露阳. 无人机在林业中的应用[J]. 安徽农学通报,2023,29(11):139-142.
|
| [3] |
李继魁. 无人机在森林草原防灭火中的应用[J]. 农村科学实验,2025(9):138-140.
|
| [4] |
张超. 森林防灭火工作中无人机的应用探讨[J]. 森林防火,2025,43(2):94-96.
|
| [5] |
朱安峰,王泽根,李蓓,等. 基于GIS和无人机协同的森林防火早期巡视方法[J]. 科技通报,2025,41(7):117-122.
|
| [6] |
陈礼波,谈宜院,陈锦扬,等. 无人机在森林防火中的应用探索:以咸宁市为例[J]. 湖北林业科技,2025,54(2):90-93.
|
| [7] |
邢磊,李玉甫. 助力农业现代化的无人机专业人才培养路径探索[J]. 农业科技创新,2025(12):78-80.
|
/
| 〈 |
|
〉 |