Tingmeng Shi, Pengyu Li, Wu Yang, Ailin Qi, J. Qiao
{"title":"Research on Air Quality Monitoring System Based on STM32 Single Chip Microcomputer","authors":"Tingmeng Shi, Pengyu Li, Wu Yang, Ailin Qi, J. Qiao","doi":"10.1109/ISPACS57703.2022.10082790","DOIUrl":null,"url":null,"abstract":"Air quality is related to human health and has received more and more attention in recent years. Long-term exposure to polluted environments can lead to various respiratory diseases. Air detection can help us to monitor the air quality of the environment in real time and plays a vital role in disease prevention. In this paper, we propose a new method to detect air quality based on STM32 microcontroller, which can improve the accuracy of real-time monitoring. The data set was collected by terminal sensors including variables particle concentration and carbon dioxide concentration, and is sent to the host computer in real time through the LORA technology to monitor the air quality status of the site. The results verify the effectiveness of proposed method for real-time detection, the air quality monitoring coverage is extended by this means.","PeriodicalId":410603,"journal":{"name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS57703.2022.10082790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Air quality is related to human health and has received more and more attention in recent years. Long-term exposure to polluted environments can lead to various respiratory diseases. Air detection can help us to monitor the air quality of the environment in real time and plays a vital role in disease prevention. In this paper, we propose a new method to detect air quality based on STM32 microcontroller, which can improve the accuracy of real-time monitoring. The data set was collected by terminal sensors including variables particle concentration and carbon dioxide concentration, and is sent to the host computer in real time through the LORA technology to monitor the air quality status of the site. The results verify the effectiveness of proposed method for real-time detection, the air quality monitoring coverage is extended by this means.