中文摘要：

为了解决常规森林火灾监测方法具有的成本高、维护困难和不能实时动态采集信息的缺陷，设计了一个基于6LoWPAN的森林火灾监控系统；首先，对森林监控系统的功能和体系框架进行了描述，将整个系统分为6LoWPAN无线传感器网络、Sink节点（网关节点）、3G网络、Internet、监控中心和手机终端；然后，对传感器节点和Sink节点的硬件进行了描述，同时将传感器节点和Sink节点的软件功能划分为硬件抽象层、精简UDP／IPv6协议层和应用层，同时采用贝叶斯概率公式对各传感器采集的数据进行融合决策，获得最终的融合结果；在野外环境中测试，实验结果表明，文中方法能高效、准确地对森林火灾的温度、湿度和烟雾进行实时动态监控，为森林火灾事故的避免和减少提供了一种实时有效的方式。

英文摘要：

In order to solve the problem that the forest fire monitoring method has the high cost, hard maintain and can not collect dy- namically the information, a forest fire monitoring system based on 6LoWPAN was designed. First!y, the function and the system framework were described, and the system was divided to whole wireless sensor network, Sink node, 3G network, Internet, monitoring center and mo- bile end, then the sensor node and Sink node were described, and the software function of sensor node and sink node was divided to hardware abstract layer, lite UDP/IPv6 protocol and application layer, the Bayes expression was used to fuse the data to get the conclusion. The sys- tem test in the wild environment shows the method in this paper can monitor dynamically the temperature, humidity and smog information. It provides an effective way for avoiding and reducing the forest fire accident.