[1]黄 晶,敖子航,张友民,等.一种面向森林火情监测的四旋翼无人机系统[J].控制与信息技术,2021,(02):1-7.[doi:10.13889/j.issn.2096-5427.2021.02.300]
 HUANG Jing,AO Zihang,ZHANG Youmin,et al.A Quadrotor UAV System for Forest Fire Monitoring[J].High Power Converter Technology,2021,(02):1-7.[doi:10.13889/j.issn.2096-5427.2021.02.300]
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一种面向森林火情监测的四旋翼无人机系统()
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《控制与信息技术》[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2021年02期
页码:
1-7
栏目:
控制理论与应用
出版日期:
2021-04-05

文章信息/Info

Title:
A Quadrotor UAV System for Forest Fire Monitoring
文章编号:
2096-5427(2021)02-0001-07
作者:
黄 晶12敖子航3张友民4 穆凌霞1郑 锴1
(1. 西安理工大学自动化与信息工程学院,陕西 西安 710048;2. 九江精密测试技术研究所,江西九江 332000;3. 中国卫星海上测控部,江苏无锡 214000;4. 康考迪亚大学机械、工业与航空工程系,魁北克 蒙特利尔 H3G 1M8)
Author(s):
HUANG Jing12 AO Zihang3 ZHANG Youmin4 MU Lingxia1 ZHENG Kai1
( 1. Dept. of Automation and Information Engineering, Xi’an University of Technology, Xi’an, Shaanxi 710048, China;2. Jiujiang Precision Test Technology Research Institute, Jiujiang, Jiangxi 332000, China;3. China Satellite Maritime Tracking and Control Department, Wuxi, Jiangsu 214000, China;4. Dept. of Mechanical, Industrial & Aerospace Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada)
关键词:
四旋翼无人机火灾探测与预警热累积探测中波红外相机GPS-北斗模块树莓派
Keywords:
quadrotor UAV fire detection and forewarning thermal accumulation area detection mid-infrared camera image GPS-BD module Raspberry Pi
分类号:
V275.1
DOI:
10.13889/j.issn.2096-5427.2021.02.300
文献标志码:
A
摘要:
森林作为火灾高发环境,尤其是在高温干燥的夏秋季节,森林火灾破坏性大,处置与控制难度高且实施救助困难。针对森林火情的预警和监测等任务需求,文章设计了一种新型四旋翼无人机系统,其使用GPS-BD模块为无人机定位,利用无人机的高机动性实现对预警区域的全覆盖;采用机载可见光相机及中波红外相机从空中实时监测火情,其中可见光相机用于白天监测火情,中波红外相机用于对明火及在夜间对高温热累积区域进行精准探测;烟雾探测模块所探测的空气质量参数通过数据传输模块回传至地面站,机载“树莓派”将上述3种传感器信息进行有效融合。文中提出一种基于火焰静态和动态特征频率及烟雾特征的目标检测算法并进行对比实验,实验结果表明,该算法能克服传统防火方式漏报率高、难度大和耗时长等缺点,达到在复杂森林环境中对火情进行高效、精准、及时监测和预警的目的。
Abstract:
Forest is a high fire environment, especially in the high temperature and dry summer and autumn. Forest fires are very destructive, difficult to handle and control, and hard to implement rescue. To monitor and detect a potential fire occurrence in a forest, a new quadrotor unmanned aerial vehicle (UAV) system with necessary payload devices is developed. The system utilizes GPS-BD module to localize position, an onboard visible light camera, a mid-infrared camera and a smoke detector to monitor forest fire in real time. Especially, the visible light camera is used to monitor fire conditions in daytime while the mid-infrared camera can accurately capture heat accumulation area and fire at night, and the air quality parameters tested by the smoke detector are transmitted to the ground station by the data transmission module simultaneously. The sensing information from the above three sensors is fused by the onboard Raspberry Pi computer. A target detecting algorithm based on the dynamic and static characteristic frequency, smoke feature is proposed, and a contrast test is conducted. Test results show that the proposed algorithm can overcome the shortcomings of traditional fire prevention methods, such as high rate of missing report, difficulty and long time in operation and so on, and can monitor fire and warn in complex forest environments effectively, accurately and timely.

参考文献/References:

[1] 张友民, 余翔, 屈耀红, 等. 无人机自主控制关键技术新进展[J]. 科技导报, 2017, 35(7):39-48.

ZHANG Y M, YU X, QU Y H, et al. New developments on key techniques in UAV autonomous control [J]. Science & Technology Review, 2017, 35(7):39-48.
[2] YUAN C, ZHANG Y M, LIU Z X. A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques[J]. Canadian Journal of Forest Research, 2015, 45(7):783-792.
[3] 梁宁, 袁新利, 刘晓东. 无人机在森林防火领域的应用及发展[J]. 森林防火, 2020(1):50-54.
[4] 王宏生, 刘静杰. 森林防火预防问题的探究[J]. 农业与技术, 2018, 38(24):190.
WANG H S, LIU J J. The research for forest fire prevention problem [J]. Agriculture and Technology, 2018, 38(24):190.
[5] 苏立娟, 何友均, 陈绍志. 1950-2010年中国森林火灾时空特征及风险分析[J]. 林业科学, 2015, 51(1):88-96.
SU L J, HE Y J, CHEN S Z. Temporal and spatial characteristics and risk analysis of forest fires in China from 1950 to 2010 [J]. Scientia Silvae Sinicae, 2015, 51(1):88-96.
[6] 冯忠强. 某瞭望塔工程消防设计难点分析及解决方案[J]. 消防技术与产品信息,2017(11):20-23.
[7] 强添纲, 任亚平. 基于旅行商问题的森林防火巡逻路径优化[J]. 森林工程, 2015, 31(6):80-84, 88.
QIANG T G, REN Y P. Forest fire patrol path optimization based on the traveling salesman problem [J]. Forest Engineering, 2015, 31(6):80-84, 88.
[8] 管婧杉, 杨雨欣, 文鹏. 林火视频监控系统发展现状概述[J].森林防火, 2019 (4): 41-43.
[9] 刘西钉,江美玲, 冯晓梅,等. 非制冷红外微测辐射热计的研制[J]. 红外与毫米波学报, 1997, 16(6): 459-462.
LIU X D, JIANG M L, FENG X M, et al. Development of uncooled infrared microbolometer [J]. Journal of Infrared and Millimeter Waves, 1997, 16(6):459-462.
[10] BLUNDELL S J, BLUNDELL K M. Concept in thermal physics [M/OL]. New York:Oxford University Press, 2006: [2020-11-05].http://www.doc88.com/p-3817636241796.html.
[11] 梁志清. 宽光谱热释电探测器制备与性能研究[D]. 成都:电子科技大学, 2017.
LIANG Z Q. Preparation and performance study on the wide spectrum pyroelectric detector[D]. Chengdu: University of Electronic Science and Technology of China, 2017.
[12] 吴勤勤. Mn掺杂PZT与P(VDF-TrFE)复合膜热释电器件[D]. 成都:电子科技大学, 2016.
WU Q Q. The pyroelectric devices based on MN doped PZT and P(VDF-TrFE) composite films [D]. Chengdu: University of Electronic Science and Technology of China, 2016.
[13] RICHARDS P L. Bolometers for infrared and millimeter waves [J]. Journal of Applied Physics, 1994, 76(1):1-24.
[14] 陈昶荣,许鑫,崔东辉,等.基于神经网络的飞行器协同编队控制研究[J].控制与信息技术,2019 (4):29-38.
CHEN C R, XU X, CUI D H, et al. Research on aircraft cooperative formation control based on neural network[J]. Control and Information Technology, 2019 (4):29-38.
[15] 董程博,陈恩民,杨坤,等.多目标点同时到达约束下的集群四维轨迹规划设计[J].控制与信息技术,2019 (4):23-28.
DONG C B, CHEN E M, YANG K, et al. Four-dimensional drone cluster route planning under the constraint of simultaneous multi-objective arrival [J]. Control and Information Technology, 2019 (4):23-28.
[16] JEROMINEK H, POPE T D, ALAIN C, et al. Miniature VO2-based bolometric detectors for high-resolution uncooled FPAs [C]//Proceedings of SPIE–The International Society for Optical Engineering. Orlando, 2000, 4028: 47-56.

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备注/Memo

备注/Memo:
收稿日期:2020-11-19
作者简介:黄晶(1987—),男,博士研究生,工程师,主要从事无人机控制算法研究。
基金项目:国家自然科学基金重点项目(61833013);江西省重点研发计划(20192BBEL50005);陕西省教育厅自然科学专项项目(19JK0569)
更新日期/Last Update: 2021-05-06