Discussion on Sky-land Integrated Forest Fire Prevention Monitoring System

doi:10.13466/j.cnki.lyzygl.2019.05.019

Abstract

Abstract:

In view of the current situation of forest fire prevention in China,this paper analyses the technical requirements of forest fire prevention supervision,and puts forward the integration of satellite remote sensing,aerial remote sensing,satellite communication and large data to build an sky-land integrated forest fire prevention monitoring system.Through the design of remote sensing monitoring subsystem,communication transmission subsystem and situation command subsystem,to solve the problems existing in forest fire prevention,such as inadequate acquisition and processing ability of multi-source observation data,poor real-time data transmission ability,inadequate on-site situation control and situation release ability.and comprehensively improve the capability of forest fire early warning,real-time situation monitoring,fire situation analysis and post-disaster assessment in China.And also,the capability of forest fire early warning,real-time fire situation monitoring,fire situation analysis and post-disaster assessment will be improved in an all-round way.

Key words: forest fire prevention, information system, remote sensing monitoring, communication system, command and decision making system

CLC Number:

S762
TP393

XU Xiaofeng, ZHANG Haolin, SUN Zhichao. Discussion on Sky-land Integrated Forest Fire Prevention Monitoring System[J]. FOREST RESOURCES WANAGEMENT, 2019, (5): 121-129.

Figures/Tables 12

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References 11

[1]	中国森林资源[EB/OL].中国林业网,(2014-02-25)[2019-05-25]. http://www.forestry.gov.cn/main/65/content-659670.html.
[2]	覃先林, 陈小中, 钟祥清, 等. 我国森林火灾预警监测技术体系发展思考[J]. 林业资源管理, 2015(6):45-48.
[3]	Yuan Chi, Liu Zhixiang, Zhang Youmin. UAV-based forest fire detection and tracking using image processing techniques[C]// International Conference on Unmanned Aircraft Systems.IEEE, 2015: 639-643.
[4]	董晓锐. 基于FY3遥感影像的森林火灾监测系统的研究[D]. 哈尔滨:哈尔滨工程大学, 2018: 4-6.
[5]	国家林业局. 林业科学和技术中长期发展规划(2006—2020年)[M]. 北京: 中国林业出版社, 2006: 8-9.
[6]	国家林业局. 全国森林防火规划(2016—2025年)[M]. 北京: 中国林业出版社, 2014: 23-29.
[7]	狄丽颖, 孙仁义. 中国森林火灾研究综述[J]. 灾害学, 2007,22(4):118-124.
[8]	Capitan J, Mantecon D, Soriano P, et al. Autonomous perception techniques for urban and industrial fire scenarios[C]// IEEE International Workshop on Safety,Security and Rescue Robotics.IEEE, 2007: 1-6.
[9]	吴龙标, 方俊, 谢启源. 火灾探测与信息处理[M]. 北京: 化学工业出版社, 2006: 160-168.
[10]	Chakraborty I, Paul T K. A Hybrid Clustering Algorithm for Fire Detection in Video and Analysis with Color Based Thresholding Method[M]. J Rheumatol, 2010: 275-285.
[11]	余荣华. 森林火灾图像自动识别系统的研究与实现[D]. 南昌:南昌大学, 2008: 24-28.

关键指标	详细参数
飞行高度/m	3500
巡航速度/(km/h)	90
单架次作业时间/h	6
单架次最大巡航面积/km²	1100
作业半径/km	200
数据传输带宽/Mbps	32
系统展开/撤收时间/min	≤30

火场态势指标	详细参数
经度/(°)	50.628752
纬度/(°)	121.257857
发展方向	四周发展
火线长度/km	32.2
火点面积/hm²	3.3
火场面积/hm²	204.2

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[2]	ZHANG Ke, YANG Suli, SHI Yan, XU Lili. Research on "Internet+" Forestry Disaster Emergency Management Practice and Analysis [J]. FOREST RESOURCES WANAGEMENT, 2021, 0(3): 165-170.
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[4]	LIU Yang, XIAO Zhongqi, ZHANG Huaiqing, YAO Bo, HUANG Jianwen. Analysis on the Change of Forest Land Types in The Xinjiang Altai Mountain Natural Forest Protection Project Area from 2000 to 2016 [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(1): 70-77.
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[6]	SU Bude, ZHAO Yangyi, WANG Keqin, DUAN Xu, FANG Bin. Changes of Soil Erosion in the Small Watershed of the Taqing River in Southern Yunnan Province in Recent 20 Years Based on GIS [J]. FOREST RESOURCES WANAGEMENT, 2018, 0(6): 90-98.
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[9]	LIU Shaohai, ZHAO Tianzhong, LI Saibo. Application of Intuitionistic Fuzzy Sets in Evaluating the Forest Fire Prevention Service with TOPSIS Method [J]. FOREST RESOURCES WANAGEMENT, 2017, 0(3): 62-68.
[10]	XIE Shaofeng, OUYANG Junxiang, YANG Zhigao. Research on the Integrated and Interactive System of Forest Fire Protection [J]. FOREST RESOURCES WANAGEMENT, 2017, 0(2): 110-117.
[11]	YUAN Shibao, ZHAO Yunlong, MENG Pei. Application of Independent Multi-source and High-resolution Satellite Remote Sensing Monitoring Technology in Plain Afforestation Projects in Beijing [J]. FOREST RESOURCES WANAGEMENT, 2016, 0(4): 140-144.
[12]	ZONG Xue. Problems and Countermeasures of Ecological Tourism Development in Forest Nature Reserves in China [J]. FOREST RESOURCES WANAGEMENT, 2016, 0(1): 14-18.
[13]	. Development of Forest Fire Early Warning and Monitoring Technique System in China [J]. FOREST RESOURCES WANAGEMENT, 2015, 0(6): 45-48.
[14]	ZONG Xue,ZHAI Hongbo,WANG Hongwei,ZHENG Yaomin. Design and Implementation of Daxiagu National Nature Reserve Management Information System [J]. FOREST RESOURCES WANAGEMENT, 2015, 0(6): 149-154.
[15]	XIE Zhenguang. The Forest Fire Prevention Infrastructre Construction and Countermeasures in the North Daxing′anling Mountains [J]. FOREST RESOURCES WANAGEMENT, 2014, 0(6): 21-23.