P. William, Yaddanapudi Vssrr Uday Kiran, A. Rana, Durgaprasad Gangodkar, Irfan Khan, Kumar Ashutosh
{"title":"Design and Implementation of IoT based Framework for Air Quality Sensing and Monitoring","authors":"P. William, Yaddanapudi Vssrr Uday Kiran, A. Rana, Durgaprasad Gangodkar, Irfan Khan, Kumar Ashutosh","doi":"10.1109/ICTACS56270.2022.9988646","DOIUrl":null,"url":null,"abstract":"This article describes a system that uses Internet of Things (IOT) architecture to deliver real-time air quality data. Real-time air quality monitoring enables us to limit the degradation of air quality. The degree of pollution in the air is measured using the Air Quality Index (AQI). In general, a higher AQI indicates that the air quality is more dangerous to breathing. With this setup, it is possible to measure gas concentrations such as NO2, CO, and PM2.5 with the help of an Arduino UNO running on both software and hardware. An IoT platform called Thing Speak serves as an IoT analytics platform that is connected to the hardware through the ESP8266 Wi-Fi module in this research. Additionally, it's capable of integrating real-time data with our Android Studio-built mobile phone app. Finally, an Android app that pulls data from Thing Speak displays the PPM and Air Quality levels of gases in the circuit. Successful development of this model has made it suitable for usage in real-world systems.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTACS56270.2022.9988646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
This article describes a system that uses Internet of Things (IOT) architecture to deliver real-time air quality data. Real-time air quality monitoring enables us to limit the degradation of air quality. The degree of pollution in the air is measured using the Air Quality Index (AQI). In general, a higher AQI indicates that the air quality is more dangerous to breathing. With this setup, it is possible to measure gas concentrations such as NO2, CO, and PM2.5 with the help of an Arduino UNO running on both software and hardware. An IoT platform called Thing Speak serves as an IoT analytics platform that is connected to the hardware through the ESP8266 Wi-Fi module in this research. Additionally, it's capable of integrating real-time data with our Android Studio-built mobile phone app. Finally, an Android app that pulls data from Thing Speak displays the PPM and Air Quality levels of gases in the circuit. Successful development of this model has made it suitable for usage in real-world systems.