{"title":"基于物联网的大流行后空气质量监测系统","authors":"A. Murdan, Mattee Ur-Rehman Jeetun","doi":"10.1109/ICAIS56108.2023.10073718","DOIUrl":null,"url":null,"abstract":"Air pollution has increased immensely due to urbanization, a rise in number of vehicles and population which has eventually led to affecting the human health. This article presents the design, implementation and testing of an air pollution detection and monitoring system that can be easily installed in houses, workshops, or offices. An Arduino Mega Development Board along with gas sensors, LCD screen and a Wi-Fi module were used. The system uploaded data on the online Internet of Things (IoT) platform in real time. A humidity sensor, temperature sensor, air quality sensor and carbon monoxide sensor were integrated in the system. The observed parameters from the sensors were displayed on an LCD screen. In case the air quality became toxic, an email an SMS alerting system was also implemented. Furthermore, the system was connected to an intelligent conversation interface on a cloud server. A website was also built to facilitate users to connect to the system and get data from the sensors in real time. Several tests were carried out in different environments, and results were conclusive.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Post-Pandemic Air Quality Monitoring System using Internet of Things (IoT)\",\"authors\":\"A. Murdan, Mattee Ur-Rehman Jeetun\",\"doi\":\"10.1109/ICAIS56108.2023.10073718\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Air pollution has increased immensely due to urbanization, a rise in number of vehicles and population which has eventually led to affecting the human health. This article presents the design, implementation and testing of an air pollution detection and monitoring system that can be easily installed in houses, workshops, or offices. An Arduino Mega Development Board along with gas sensors, LCD screen and a Wi-Fi module were used. The system uploaded data on the online Internet of Things (IoT) platform in real time. A humidity sensor, temperature sensor, air quality sensor and carbon monoxide sensor were integrated in the system. The observed parameters from the sensors were displayed on an LCD screen. In case the air quality became toxic, an email an SMS alerting system was also implemented. Furthermore, the system was connected to an intelligent conversation interface on a cloud server. A website was also built to facilitate users to connect to the system and get data from the sensors in real time. Several tests were carried out in different environments, and results were conclusive.\",\"PeriodicalId\":164345,\"journal\":{\"name\":\"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIS56108.2023.10073718\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIS56108.2023.10073718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Post-Pandemic Air Quality Monitoring System using Internet of Things (IoT)
Air pollution has increased immensely due to urbanization, a rise in number of vehicles and population which has eventually led to affecting the human health. This article presents the design, implementation and testing of an air pollution detection and monitoring system that can be easily installed in houses, workshops, or offices. An Arduino Mega Development Board along with gas sensors, LCD screen and a Wi-Fi module were used. The system uploaded data on the online Internet of Things (IoT) platform in real time. A humidity sensor, temperature sensor, air quality sensor and carbon monoxide sensor were integrated in the system. The observed parameters from the sensors were displayed on an LCD screen. In case the air quality became toxic, an email an SMS alerting system was also implemented. Furthermore, the system was connected to an intelligent conversation interface on a cloud server. A website was also built to facilitate users to connect to the system and get data from the sensors in real time. Several tests were carried out in different environments, and results were conclusive.