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作 者:康万杰 潘有顺 陈秋菊 KANG Wanjie;PAN Youshun;CHEN Qiuju(Department of Brewery Engineering Automation,Moutai Institute,Renhuai Guizhou 564500)
机构地区:[1]茅台学院酿酒工程自动化系,贵州仁怀564500
出 处:《宁夏师范学院学报》2022年第4期87-95,共9页Journal of Ningxia Normal University
基 金:贵州省教育厅青年科技人才成长项目(黔教合KY字〔2018〕460).
摘 要:为及时精准监控森林火灾状况,降低森林火灾危害程度,提出基于无线传感器网络信息融合的森林火灾无线监控系统.该系统先构建无线传感器网络节点的森林火灾无线网络监控系统,采集森林现场的信息数据,获得融合信息的森林火灾状态判别概率数据,最后传送该数据至嵌入式微处理器平台,在有火灾发生概率较高时发出报警,并自动开启灭火设备.实验结果表明,该系统确定有火灾的概率达到0.852,且事务平均响应时间均低于3.5 s,其数据采集功能与报警功能表现良好,信息融合效果显著,可去除无线传感器信息之间的矛盾,提升火灾判别的精度,具有较高的并发响应性能.A forest fire wireless monitoring system based on wireless sensor network information fusion was proposed to monitor the forest fire situation timely and accurately,and reduce the damage degree of forest fire.First,the system constructs the forest fire wireless network monitoring system of the wireless sensor network node.Secondly,the forest fire state discrimination probability data of the fusion information is obtained by collecting the forest field information data.Finally,transmit these data to the embedded microprocessor platform.When a high probability of fire is detected,the platform will issue an alarm and automatically turn on the fire extinguishing equipment.Experimental results show that the system determined the probability of a fire at 0.852,and average transaction response time of less than 3.5 second.The data acquisition function and alarm function of the proposed system perform well.The information fusion effect of the system is remarkable,that it not only remove the contradiction between wireless sensor information,improve the accuracy of fire discrimination,but also have high concurrent response performance.
关 键 词:无线传感器网络 信息融合 森林火灾 无线监控 传感器节点 嵌入式处理器
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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