| 多源数据融合的森林火灾监控方法 |
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| 引用本文： | 叶宽,周恺,张睿哲,蔡瀛淼,李鸿瑞.多源数据融合的森林火灾监控方法[J].科学技术与工程,2022,22(13):5176-5181. |
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| 作者姓名： | 叶宽 周恺 张睿哲 蔡瀛淼 李鸿瑞 |
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| 作者单位： | 国网北京市电力公司电力科学研究院;北京微芯感知科技有限公司 |
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| 基金项目： | 国网北京市电力公司科技项目“输电线路多维度山火监测与应急处置关键技术研究”(520223200068) |
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| 摘 要： | 针对林区人员巡视难度大、效率低的问题,本文提出了一种多源融合的火灾监控方法。方法首次引入烟尘颗粒浓度来识别可能发生火灾的异常区域,并结合人类活动和气象因子与森林火灾间的关联性来评估火险程度,进而筛选出高风险的区域。实验结果显示提出的方法能够在一定程度上过滤掉伪火点的区域,从而促进巡防人员集中有限力量快速处置火情隐患。
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| 关 键 词： | 火灾监控 烟尘颗粒浓度 卫星火点 气象因子 |
| 收稿时间： | 2021/8/23 0:00:00 |
| 修稿时间： | 2022/3/25 0:00:00 |
A Fire Monitoring Method Based on Multi-source Data |
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| Ye Kuan,Zhou Kai,Zhang Ruizhe,Cai Yingmiao,Li Hongrui.A Fire Monitoring Method Based on Multi-source Data[J].Science Technology and Engineering,2022,22(13):5176-5181. |
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| Authors: | Ye Kuan Zhou Kai Zhang Ruizhe Cai Yingmiao Li Hongrui |
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| Institution: | Electric Power Research Institute of State Grid Beijing Electric Power Company |
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| Abstract: | The patrol in forests is difficult and low efficiency for safety guards. A novel fire monitoring method based on multi-source data was proposed in this paper. The concentration of smoke particulate was firstly used in this paper to recognize the region where fire might break out. In order to identify the high risk regions, human activities and weather factors related to the forest fire were combined to evaluate the fire risks. Experimental results show that a number of fake forest fire can be filtered so that the guards can be massed effectively and dispose of the fire quickly . |
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| Keywords: | fire monitoring concentration of smoke particulate fire from satellite weather factor |
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