基于BP神经网络的嵌入式森林火灾智能监控系统  

Forest Fire Embedded Intelligent Monitoring System Based on BP Neural Network

作　　者：田仲富[1] 王述洋[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2014年第8期138-140,144,共4页Journal of Northeast Forestry University

基　　金：国家自然科学基金面上项目(51378096);黑龙江省自然科学基金项目(C201244);中央高校基本科研业务费专项资金资助(DL12BB01)

摘　　要：结合嵌入式技术、远程监控、智能控制以及数字图像处理等技术,设计了一种森林火灾监控系统。首先,在林火高发监测区域设置现场控制器,并对其实时采集到的图像信息进行智能火情识别处理,当其检测到火情后,通过GPRS模块将林火的地理位置信息、气象信息、火情信息、植被信息以及地理环境信息等重要数据传送给监控指挥中心,监控指挥中心根据上述重要信息做进一步的判定分析,并制定相应的林火扑救方案。实际应用表明,此系统具有安装简便、运行稳定、实时性强、体积小以及成本低等特点。We used embedded technology , remote monitoring , intelligent monitoring and digital image processing to design a mo-nitoring system of forest fire .First, we set up the field controllers in the high incidence areas of forest fire , then distinguish and process the image information with real time .When the controllers detected condition of a fire , they transmitted the in-formation to monitoring and command center of the fire through the GPRS module including the geographical position , me-teorological information , the condition of the fire and vegetation geographical environment .Depending on the important in-formation, the monitoring command center made further decision analysis and formulated the corresponding firefighting plan.In practical application, this system has the advantages of easy installation , stable operation, strong real-time, small volume and low cost .

关 键 词：智能控制 图像处理 神经网络 森林防火 

分 类 号：S762.2[农业科学—森林保护学]