多传感器集成森林防火巡检无人机平台设计  

Design of a Multi-sensor Integrated Forest Fire Prevention Patrol Unmanned Aerial Vehicle Platform

作　　者：云晓丽 张双月 宋文博 云惟威 YUN Xiaoli;ZHANG Shuangyue;SONG Wenbo;YUN Weiwei(College of Engineering and Technology,Northeast Forestry University,Harbin 150040,China)

机构地区：[1]东北林业大学工程技术学院,黑龙江哈尔滨150040

出　　处：《科技创新与生产力》2023年第7期122-124,共3页Sci-tech Innovation and Productivity

基　　金：大学生创新创业训练计划(202210225076)。

摘　　要：以火灾监测为目的,本文设计了多传感器集成的森林防火巡检无人机平台。该平台可根据预设路线自动巡航,自动判断火情情况,收集火情的信息,通过搭载的红外热成像仪和烟雾传感器测得温度值、温度变化率和烟雾浓度,同时结合模糊神经网路技术,将烟雾和温度复合,提高探测器的灵敏度和火灾情报的可信度,可用于全天候森林火灾监测、预警等,具有广阔的应用前景。For the purpose of fire monitoring,this paper designs a multi-sensor integrated forest fire prevention patrol unmanned aerial vehicle platform.The platform can automatically cruise according to the preset route,automatically judge the fire situation,collect fire information,measure the temperature value,temperature change rate and smoke concentration by the infrared Thermographic camera and smoke sensor carried on the platform.At the same time,by combining with the fuzzy neural network technology,the smoke and temperature are combined to improve the sensitivity of the detector and the credibility of fire information,which can be used for all-weather forest fire monitoring,early warning,etc,It has broad application prospects.

关 键 词：无人机 森林防火 模糊神经网络 

分 类 号：S762.3[农业科学—森林保护学]