摘要
针对传统空气质量监测方法存在实时性差、精度低、空间局限等问题,本文基于我国自主研发的北斗导航系统,设计了一种空气质量实时监测系统。主要包括北斗导航系统,无人机系统,地面控制中心和手机移动终端。该无人机系统包含BDS模块、信息采集模块、控制单元模块和通信传输模块等。核心的控制单元模块采用单片机处理气体传感器采集的PM2.5,PM10,温湿度等数据和BDS模块采集的地理位置信息数据,通过GSM网络与地面控制中心进行实时通信,地面控制中心的PC导入实时地图,将无人机传输的数据可视化。分析表明,该系统优点突出,可以实现实时监测空气质量的功能,弥补了当前空气质量监测方法的不足之处,能为空气环境治理提供可靠依据,具有广泛的应用前景。
Aiming at the problems of poor real-time performance,low precision and space limitation of traditional air quality monitoring methods,this paper designs a real-time monitoring system for air quality based on the Beidou navigation system independently developed by China.It mainly includes Beidou navigation system,drone system,ground control center and mobile phone terminal.The UAV system includes a BDS module,an information acquisition module,a control unit module,and a communication transmission module.The core control unit module uses the single-chip computer to process the PM2.5,PM10,temperature and humidity,and other data collected by the gas sensor and the geographical location information data collected by the BDS module,and com-municates with the ground control center through the GSM network in real time,and the PC of the ground control center imports the real-time map,to visualize the data transmitted by the drone.The analysis shows that the system has outstanding advantages and can realize the function of real-time monitoring of air quality,which makes up for the shortcomings of current air quality monitoring methods,can provide a reliable basis for air environment treatment,and has broad application prospects.
出处
《计算机科学与应用》
2019年第4期703-709,共7页
Computer Science and Application
基金
重庆市中小学创新人才培养工程项目计划研究项目:一种空气质量监测无人机的设计
重庆市教委科学技术研究项目:基于深度卷积生成式对抗网络的语音分离研究,KJQN201801901.