摘要
将无线传感器网络结合加拿大林火天气指数(FWI)系统对森林火灾进行预测和实时监测。使用大范围布置的温湿度传感器结合自动防火气象站组成无线传感器网络,对广大林区作细粒度的数据采集,进而准确计算FWI系统的6个指数,对火灾发生的潜在风险以及火灾的强度和规模做出预测和评估,并依据细小可燃物湿度码(FFMC)调整传感器节点的数据采集频率,对林火进行实时监测和识别。测试结果表明本系统可以有效地节约能耗,缩短林火的发现时间。
Wireless Sensor Networks was proposed to evaluate fire danger and real-time torest tire surveillance based on trte ca- nadian Forest Fire Weather Index （FWI） System. The large-scale sensors of temperature and humidity were integrated with automatic weather stations to construct WSN, which collected fine granularity data in large forest area to calculate six FWI indexes and codes, exactly. Thus, the potential fire danger was estimated and the scale and intensity of the fire were fore- casted. According to fine fuel moisture code （FFMC） , the frequency of data collection was adjusted to monitor and detect forest fire. The experimental results show that this system can provide fast forest fire detection and save energy efficiently.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2013年第8期126-129,149,共5页
Journal of Northeast Forestry University
关键词
无线传感器网络
FWI
FFMC
细粒度
簇头
Wireless Sensor Network
Fire Weather Index （FWI）
Fine fuel moisture code （FFMC）
Fine granu-larity
Cluster head
