基于无线传感网络的森林火险监测与预警试验研究

Experimental Research on Forest Fire Risk Monitoring and Early Warning Based on Wireless Sensor Network

森林环境容易发生火险灾情,且发生的突然性强,对森林进行林火预警研究可以很大程度上避免森林发生火灾带来的损失,能够实现森林资源的可持续发展。本文提出采用无线传感器网络技术进行森林火险监测与预警的试验研究,结合森林环境部署的无线传感器网络监测森林环境的土壤含水量、空气温度、相对湿度、风速等环境参数,作为森林火险预警的基础数据。以2021年广东省龙山林场的试验数据作为参考,对测试的数据进行火险等级预测,试验表明,通过对火险预测模型的构建,能提前预判森林火险的发生,具有较好的应用价值。

Forest environment is prone to fire disaster,and the occurrence is sudden,the research on forest fire early warning can avoid the loss caused by forest fire to a great extent and realize the sustainable development of forest resources.This paper presents an experimental study on forest fire risk monitoring and early warning using wireless sensor network technology,the wireless sensor network deployed in the forest environment monitors the soil water content,air temperature,relative humidity,wind speed and other environmental parameters of the forest environment as the basic data for forest fire warning.Taking the test data of Guangdong Longshan Forest Farm in 2021 as a reference,predict the fire risk level of the test data,tests show that,through the construction of fire risk prediction model,can predict the occurrence of forest fire insurance in advance,it has good application value.