摘要
冬季常见的雾霾天气严重影响人们的健康;室内装修大量使用装饰材料和复合木质家具,导致室内甲醛等有害物质的散发严重超标,造成室内空气污染,对人们身体危害较大。为了解决上述问题,文中介绍一种基于ATmega16L的智能新风机控制系统的设计方案。首先进行硬件电路设计,分别对温湿度检测模块、CO;浓度检测模块、PM;浓度检测模块、触摸屏按键模块、无线收发模块RF905SE、AT24C02外部存储器模块、电机控制电路、电源模块等进行详细介绍;其次在系统软件设计方面,给出主程序流程图及子程序设计方案。通过检测空气中CO;浓度值、温湿度值和PM;浓度值,可实现对室内空气质量的高精度控制,并能够实时监测系统运行总时长,到达预定时间时提醒用户更新过滤网,确保室内空气质量良好。文中系统的设计方案和工作流程可为同类新风机控制系统的设计提供借鉴和参考。
The common haze weather in winter has a strong impact on people′ s health,a large number of decorative materials and composite wood furniture used in interior decoration can lead to the emission of indoor formaldehyde and other harmful substances,which causes seriously indoor air pollution and has serious bodily harm. A design scheme of intelligent fresh air fan control system based on ATmega16L is introduced to solve above problems. The hardware circuit of the system is designed. The temperature and humidity detection module,CO;concentration detection module,PM;concentration detection module,touch screen buttons module,AT24C02 external memory module,motor control circuit,RF905SE wireless transmitting module and voltage module are introduced in detail. In the term of software design,the flow diagram of main program and the design scheme of subprogram are given. The high precision automatic control of indoor air quality is implemented by detecting the CO;concentration,temperature and humidity and PM;concentration. The total operation time of the system can be monitored in real time,and users can be reminded to update the filter screen when the predetermined time is reached,so as to ensure good indoor air quality. The design scheme and workflow of the system can provide reference for the design of similar fresh air fan control system.
作者
张姣
ZHANG Jiao(Department of Automation,Chongqing University of Posts and Telecommunications,Chongqing 401520,China)
出处
《现代电子技术》
2022年第12期155-159,共5页
Modern Electronics Technique
基金
重庆市教委科学技术研究项目(KJZD-K202002401)。
关键词
新风机
ATMEGA16L
温湿度
CO
浓度
PM
浓度
在线监测
系统设计
fresh air fan
ATmega16L
temperature and humidity
CO2 concentration
PM2.5 concentration
online monitoring
system design
