大气与环境光学学报, 2017, 12 (1): 74, 网络出版: 2017-02-09  

无人机载森林防火告警系统设计

Design of a Forest Fire Warning System Using Unmanned Aerial Vehicle
作者单位
1 滁州中学, 安徽 滁州 239000
2 电子工程学院, 安徽 合肥 230037
摘要
森林防火监测与告警手段多样,无人机平台具有运行费用少、操作简便、机动灵活等特点,在巡护监测林火中前景广阔。提出了一种基于红外探测器 对森林起火点进行探测和告警,采用低成本四旋翼无人机为巡检平台,北斗接收模块对无人机定位的森林防火告警系统。通过理论计算和实际举例验证了 此方案的实用性。结果表明本系统能够快速、准确地对起火点进行定位,无需人员实时监视,为森林火灾预防及火灾的快速扑救指挥提供了一种解决方案。
Abstract
The unmanned aerial vehicle (UAV) platform has broad prospects in a variety of forest fire monitoring and warning means, with characteristics of less operation cost, simple operation, flexibility and so on. Based on infrared detector for detection and warning of the fire point, a forest fire warning system was presented with low-cost rotor UAV as a platform, using the Beidou receiver module for UAV positioning. Theoretical calculation and practical examples were given to verify the practicability of this scheme. The results show that the system can locate the fire point quickly and accurately without personal real-time monitoring, which provides a solution for the prevention of forest fire and rapid fire fighting command.
参考文献

[1] 吴雪琼, 覃先林, 李 程, 等. 我国林火检测体系现状分析[J]. 内蒙古林业调查设计, 2010, 33(3): 69-72.

    Wu Xueqiong, Qin Xianlin, Li Cheng,et al. Analysis of current forest fire monitoring system in China [J]. InnerMongolia Forestry Investigation and Design, 2010, 33(3): 69-72(in Chinese).

[2] 何 诚, 巩垠熙, 张思玉, 等. 基于MODIS数据的森林火险时空分异规律研究 [J]. 光谱学与光谱分析, 2013, 33(9): 2472-2477.

    He Cheng, Gong Yinxi, Zhang Siyu,et al. Forest fire division by using modis data based on the temporal-spatial variation law [J]. Spectroscopy and Spectral Analysis, 2013, 33(9): 2472-2477(in Chinese).

[3] 何 诚, 张思玉, 姚树人. 旋翼无人机林火点定位技术研究 [J]. 测绘通报, 2014(12): 24- 27.

    He Cheng, Zhang Siyu, Yao Shuren. Forest fires locating technology based on rotor UAV [J].Bulletin of Surveying and Mapping, 2014(12): 24-27(in Chinese).

[4] Zhang Dengyi. Image based forest fire detection using dynamic characteristics with artificial neural networks [C].International Joint Conference on Artificial Intelligence, 2009.

[5] 邵 婧, 王冠香, 郭 蔚. 基于视频动态纹理的火灾检测 [J]. 中国图象图形学报, 2013, 18(6): 647-653.

    Shao Jing, Wang Guanxiang, Guo Wei. Fire detection based on video dynamic texture [J].Journal of Image and Graphics, 2013, 18(6): 647-653(in Chinese).

[6] 何 诚, 张明远, 杨 光, 等. 无人机搭载普通相机林火识别技术研究[J]. 林业机械与木工设备, 2015, 44(4): 27-43.

    He Cheng, Zhang Mingyuan, Yang Guang,et al. Research on identifying forest fire using unmanned aircraft vehicle (UAV) equipped with a camera [J]. Forestry Machinery & Woodworking Equipment, 2015, 44(4): 27-43(in Chinese).

[7] 杨元喜, 李金龙, 王爱兵, 等. 北斗区域卫星导航系统基本导航定位性能初步评估 [J]. 中国科学: 地球科学, 2014, 44(1): 72-81.

    Yang Yuanxi, Li Jinlong, Wang Aibing,et al. Preliminary assessment of the navigation and positioning performance of beidou regional navigation satellite system [J]. Science China: Earth Sciences, 2014, 44(1): 72-81(in Chinese).

[8] 王慧茹. 基于Q2358C硬件模块的短信收发系统的设计与实现[D]. 西安: 西安电子科技大学硕士论文, 2011: 5-16.

    Wang Huiru.Design and Implemetation of SMS Sending and Receiving System Based on Q2358C [D]. Xi’an: Master’s Thesis of XiDian University, 2011: 5-1(in Chinese).

樊浩然, 王云, 张宏伟. 无人机载森林防火告警系统设计[J]. 大气与环境光学学报, 2017, 12(1): 74. FAN Haoran, WANG Yun, ZHANG Hongwei. Design of a Forest Fire Warning System Using Unmanned Aerial Vehicle[J]. Journal of Atmospheric and Environmental Optics, 2017, 12(1): 74.

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