摘要
为了定量检测和净化汽车空气质量,并方便用户远程查看和控制,有针对性地设计了汽车空气质量智能检测净化系统和Android手机APP应用软件。车内外的PM2.5检测系统和阵列气体传感器采集空气质量参数,Arduino处理器基于BP神经网络算法进行数据处理后自动调节空气质量,并通过HC-06蓝牙模块发送至Android手机APP,用户可在APP上查看空气质量并可手动调节。当车内PM2.5、CO、NO_2、HCHO浓度高于警戒值时,车内负离子空气净化器自动开启;车外浓度高于警戒值时,关闭外循环风扇。试验表明,与现有装置相比,系统不仅能同时检测包括PM2.5、CO在内的多种有毒有害气体及颗粒,还具备在APP上远程查看和净化车内空气的功能。
In order to quantitatively detect and purify the automotive air quality,and to remotely view and control it,a smart system and an APP application software for Android mobile phone are designed.The air quality parameters are collected by PM2.5 detection system and array gas sensors inside and outside the car.The Arduino is responsible for data processing based on BP neural network algorithm and automatically adjusting the air quality.The data are sent to the APP through HC-06 module,so the users can view the air quality on APP and adjust the parameters manually.When the inside values of PM2.5,CO,NO2 and HCHO are higher than the alert value,the car negative ion generator will be opened automatically.When the outside value is higher than the alert value,the fan will be turned off.This system can not only detect a variety of toxic and harmful gases and particles such as PM2.5 and CO,but also remotely view and purify the automotive air quality by APP.
作者
袁圆
王磊
姚帅
王文辉
徐俊
YUAN Yuan;WANG Lei;YAO Shuai;WANG Wen-hui;XU Jun(Sino-German Institute,Tongji University,Shanghai 201800,China;Shanghai Xinpu Sensor Technology Co.,Ltd.,Shanghai 201800,China)
出处
《测控技术》
CSCD
2018年第3期129-133,共5页
Measurement & Control Technology
基金
联合汽车电子有限公司产学研合作资助项目(NE4201602)
