{"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}
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.