基于物联网的mq传感器在实验室室内空气质量监测中的应用

Hussein J. Khadim, Faik K. Obaed, Ziad T. Abd Ali
{"title":"基于物联网的mq传感器在实验室室内空气质量监测中的应用","authors":"Hussein J. Khadim, Faik K. Obaed, Ziad T. Abd Ali","doi":"10.1109/ITSS-IoE53029.2021.9615333","DOIUrl":null,"url":null,"abstract":"Air pollution levels have been rising around the world in recent years. Long-term pollution exposure causes a variety of ailments, including lung disease, heart disease, and eye irritation. The term “indoor air quality” refers to the building’s residents' air quality. Physical variables, chemical or gaseous pollutants, and biological factors. Toxic gases are likely to be present in any laboratory where experiments or research are carried out. These contaminants can harm the health of the people that are working there, and the important work that is being done in this environment remains unaffected. A web-based system for indoor air quality monitoring in lab IAQML is presented in this study. The project was established to keep track of air quality metrics in the lab environment like carbon dioxide, carbon monoxide, alcohol, phenol, toluene, LPG, benzene, ammonia, and methane, if not properly maintained, this can have an impact on the inhabitants' comfort, health, and indoor working conditions. In general, the proposed method involves a selection of metal oxide MQ-sensors, and a Wi-Fi module connected to an Arduino microcontroller. The measured data from sensors is calculated in ppm units and then displayed on the Android device. Also, gas data is sent to the webpage through the ThingSpeak platform dashboard. The system has a notification function to alert students and workers in the laboratory when measurements of air quality are above or below specified thresholds. On the other hand, this allows for a well-controlled and maintained the quality standard for indoor air pollutants.","PeriodicalId":230566,"journal":{"name":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","volume":"os-11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Application of MQ-Sensors to Indoor Air Quality Monitoring in Lab based on IoT\",\"authors\":\"Hussein J. Khadim, Faik K. Obaed, Ziad T. Abd Ali\",\"doi\":\"10.1109/ITSS-IoE53029.2021.9615333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Air pollution levels have been rising around the world in recent years. Long-term pollution exposure causes a variety of ailments, including lung disease, heart disease, and eye irritation. The term “indoor air quality” refers to the building’s residents' air quality. Physical variables, chemical or gaseous pollutants, and biological factors. Toxic gases are likely to be present in any laboratory where experiments or research are carried out. These contaminants can harm the health of the people that are working there, and the important work that is being done in this environment remains unaffected. A web-based system for indoor air quality monitoring in lab IAQML is presented in this study. The project was established to keep track of air quality metrics in the lab environment like carbon dioxide, carbon monoxide, alcohol, phenol, toluene, LPG, benzene, ammonia, and methane, if not properly maintained, this can have an impact on the inhabitants' comfort, health, and indoor working conditions. In general, the proposed method involves a selection of metal oxide MQ-sensors, and a Wi-Fi module connected to an Arduino microcontroller. The measured data from sensors is calculated in ppm units and then displayed on the Android device. Also, gas data is sent to the webpage through the ThingSpeak platform dashboard. The system has a notification function to alert students and workers in the laboratory when measurements of air quality are above or below specified thresholds. On the other hand, this allows for a well-controlled and maintained the quality standard for indoor air pollutants.\",\"PeriodicalId\":230566,\"journal\":{\"name\":\"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)\",\"volume\":\"os-11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSS-IoE53029.2021.9615333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSS-IoE53029.2021.9615333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

近年来,世界各地的空气污染水平一直在上升。长期暴露在污染中会导致各种疾病,包括肺病、心脏病和眼睛发炎。“室内空气质量”是指建筑物内居民的空气质量。物理变量,化学或气体污染物,以及生物因素。在进行实验或研究的任何实验室中都可能存在有毒气体。这些污染物会损害在那里工作的人的健康,而在这种环境中进行的重要工作不受影响。提出了一种基于网络的实验室室内空气质量监测系统。该项目的建立是为了跟踪实验室环境中的空气质量指标,如二氧化碳、一氧化碳、酒精、苯酚、甲苯、液化石油气、苯、氨和甲烷,如果维护不当,这可能会对居民的舒适、健康和室内工作条件产生影响。一般来说,所提出的方法包括选择金属氧化物mq传感器,以及连接到Arduino微控制器的Wi-Fi模块。传感器的测量数据以ppm为单位计算,然后显示在Android设备上。此外,气体数据通过ThingSpeak平台仪表板发送到网页。该系统具有通知功能,当空气质量测量值高于或低于指定阈值时,会向实验室的学生和工作人员发出警报。另一方面,这可以很好地控制和维持室内空气污染物的质量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of MQ-Sensors to Indoor Air Quality Monitoring in Lab based on IoT
Air pollution levels have been rising around the world in recent years. Long-term pollution exposure causes a variety of ailments, including lung disease, heart disease, and eye irritation. The term “indoor air quality” refers to the building’s residents' air quality. Physical variables, chemical or gaseous pollutants, and biological factors. Toxic gases are likely to be present in any laboratory where experiments or research are carried out. These contaminants can harm the health of the people that are working there, and the important work that is being done in this environment remains unaffected. A web-based system for indoor air quality monitoring in lab IAQML is presented in this study. The project was established to keep track of air quality metrics in the lab environment like carbon dioxide, carbon monoxide, alcohol, phenol, toluene, LPG, benzene, ammonia, and methane, if not properly maintained, this can have an impact on the inhabitants' comfort, health, and indoor working conditions. In general, the proposed method involves a selection of metal oxide MQ-sensors, and a Wi-Fi module connected to an Arduino microcontroller. The measured data from sensors is calculated in ppm units and then displayed on the Android device. Also, gas data is sent to the webpage through the ThingSpeak platform dashboard. The system has a notification function to alert students and workers in the laboratory when measurements of air quality are above or below specified thresholds. On the other hand, this allows for a well-controlled and maintained the quality standard for indoor air pollutants.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Attendance Management System Using Facial Recognition and Image Augmentation Technique A Fuzzy GPSR Route Selection Based on Link Quality and Neighbor Node in VANET Program Abstract Book Ultra-Low Profile, Compact Quasi-Yagi Antenna Suitable for IoT Application ITSS-IoE 2021 Cover Page
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1