基于多数据融合的山林防火系统

针对陕北山林火灾探测系统中的缺陷,本文提出了运用多传感器数据融合技术开展山林火情探测,并进行了仿真结果验证,以实现对火情的提前预警。采用温湿度传感器、CO浓度传感器、烟雾传感器和土地墒情传感器采集山林的环境数据,对同一时间采集的数据进行方差计算处理,再使用BP神经网络和模糊处理的方式对预处理后的方差值进行数据融合,最终得到该时某点山林的着火概率,运用无线传输设备及时通知管理人员采取措施。陕北山林实地模拟测试表明,该系统可以有效监测到山林的数据情况,能准确监测火情的大小并对着火点进行林间定位,为陕北山区森林提供了一种可执行的监测方案。

Forest Fire Prevention System Based on Multi-data Fusion

In view of the flaws in the fire detection system in northern Shaanxi, a multi-sensor data fusion technology is proposed to detect forest fire, and the simulation results are verified to realize the early warning of fire. Using temperature and humidity sensor, CO concentration sensor, smoke sensor and soil moisture sensor to collect environmental data of mountain forests, calculate and process the variance of the data collected at the same time, then use BP network and fuzzy processing to fuse the preprocessed variance value, and finally get the fire probability of a point in the mountain forests at that time. Use the wireless transmission equipment to inform the management of timely action. Field experiments on mountain forests in northern Shaanxi show that the system can effectively monitor the data of mountain forests, accurately monitor the size of fire and locate fire points among forests, which provides an executable monitoring scheme for mountain forests in northern Shaanxi.