摘要
提出一种基于无人机平台自巡航的森林火灾监测预警系统。无人机搭载多路烟雾传感器用于实时监测现场警情,达到预警级别的警情则上传到远程监测平台,由远程监测平台对警情进行警报。控制器采集GPS实时定位数据并通过卡尔曼滤波算法和PID算法,控制无人机巡航路径和高度。无人机平台通过GPRS发送现场警情到监视平台。在风速较小情况下,融合多路传感器的监测系统能准确检测到烟雾的发生和上传警情。该监测系统具有低功耗、低成本优点,为物联网时代的森林防火预警提供了设计和参考。
A forest fire monitoring and early warning system based on unmanned aerial vehicle(UAV)was proposed.The UAV is equipped with multi-channel smoke sensors for real-time monitoring of on-site alarm situation.The alarm situation that reaches the early warning level is uploaded to the remote monitoring platform,and the remote monitoring platform alerts the alarm situation.The controller collects GPS real-time positioning data and controls the cruise path and altitude of UAV through Kalman filter algorithm and PID algorithm.The UAV platform sends the scene alarm information to the monitoring platform through GPRS.In the case of small wind speed,the monitoring system which combines multi-channel sensors can detect the occurrence and upload of smoke accurately.The monitoring system has the advantages of low power consumption and low cost,which provides design and reference for forest fire prevention early warning in the era of Internet of Things.
作者
刘永昌
尹百通
邹庆勇
徐远征
Liu Yongchang;Yin Baitong;Zou Qingyong;Xu Yuanzheng(College of Automotive Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《农业装备与车辆工程》
2022年第7期105-108,共4页
Agricultural Equipment & Vehicle Engineering
关键词
无人机
GPRS
森林防火
嵌入式
物联网
UAV
GPRS
forest fire prevention
embedded system
Internet of Things
