摘要
基于STM32微处理器设计出一种室内空气质量监测测系统。前端搭载集成数字空气传感器对空气数据进行实时采集,采用复合滤波算法对采集数据进行处理,有效剔除数据异常值,提高了数据的可靠性。通过GPRS通信模块构建与云端的双向通信链路实现了远程传感器误差值的校准,方便在临近传感器校正期时对传感器误差进行修正。
In the paper,an indoor air quality monitoring system is designed based on the STM32 microprocessor.The front-end is equipped with an integrated digital air sensor for real-time collection of air data.The composite filtering algorithm is used to process the collected data,effectively eliminating the outliers of the data and improving the reliability of the data.The two-way communication link with the cloud is built by the GPRS communication module to realize the calibration of the remote sensor error value,which is convenient for correcting the sensor error in the proximity sensor calibration period.
作者
原忠虎
李沐
杜英魁
关屏
赵丽娟
刘枢
Yuan Zhonghu;Li Mu;Du Yingkui;Guan Ping;Zhao Lijuan;Liu Shu(College of Information Engineering,Shenyang University,Shenyang 110014,China;Shenyang Hengyuanweiye Environmental Service Co.,Ltd.;Liaoning Ecological and Environmental Affairs Service Center)
出处
《单片机与嵌入式系统应用》
2019年第12期76-80,共5页
Microcontrollers & Embedded Systems
基金
辽宁省重点研发计划指导计划项目(2018104013)
辽宁省教育厅高等学校创新人才支持计划项目(LR2016074)
沈阳市中青年科技创新人才支持计划项目(RC180338)
