摘要
为了满足空气质量实时监测的需求,文章提出了一种基于物联网的空气质量检测方案。首先,该方案采用嵌入式系统作为核心,控制DHT22温湿度模块和PMS7003空气颗粒物检测模块,实现对空气温度、湿度、粉尘浓度等参数的测量。其次,基于One NET构建云平台,实现了传感器数据的实时上传。最后,用户通过客户端可以直观地观察空气数据参数的变化。结果表明,本系统可与智能家居相结合,实现室内空气质量的远程监控和动态调节,有效降低了室内空气污染,提高居住环境的舒适度。
In order to meet the demand for real-time air quality monitoring,the article proposes an air quality detection scheme based on the Internet of Things.Firstly,the solution uses an embedded system as the core to control the DHT22 temperature and humidity module and the PMS7003 air particle detection module,achieving the measurement of parameters such as air temperature,humidity,and dust concentration.Secondly,building a cloud platform based on OneNET enables realtime uploading of sensor data.Finally,users can visually observe the changes in air data parameters through the client.The results indicate that this system can be combined with smart homes to achieve remote monitoring and dynamic adjustment of indoor air quality,effectively reducing indoor air pollution and improving the comfort of the living environment.
作者
陈杨炅
周陈乾
高宇霄
韦朴
杨洁
CHEN Yangjiong;ZHOU Chenqian;GAO Yuxiao;WEI Pu;YANG Jie(SchooL of Information and Communication Engineering,Nanjing Institute of Technology,Nanjing Jiangsu 211167,China)
出处
《信息与电脑》
2023年第11期164-166,共3页
Information & Computer
基金
江苏省智能感知技术与装备工程研究中心开放基金项目(项目编号:ITS202106)
中国高校产学研创新基金(项目编号:2021FNA05002)。
