{"title":"基于树莓派平台的空气质量监测评估智能系统","authors":"D. Ivanova, A. Elenkov","doi":"10.1109/InfoTech.2019.8860883","DOIUrl":null,"url":null,"abstract":"In this paper, an intelligent system that uses the Raspberry Pi platform and the machine learning model to predict the values of various pollutants in the air, based on temperature, humidity, and pressure is proposed. Two sensors for measuring temperature, humidity, and barometric pressure are used by the system to collect data for the machine learning model. Two user interfaces are developed to help users in interacting with the model, and to monitor the predicted values. Finally, the results of the proposed air quality system are presented and analyzed and the future work has been outlined.","PeriodicalId":179336,"journal":{"name":"2019 International Conference on Information Technologies (InfoTech)","volume":"47 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Intelligent System for Air Quality Monitoring Assessment using the Raspberry Pi Platform\",\"authors\":\"D. Ivanova, A. Elenkov\",\"doi\":\"10.1109/InfoTech.2019.8860883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an intelligent system that uses the Raspberry Pi platform and the machine learning model to predict the values of various pollutants in the air, based on temperature, humidity, and pressure is proposed. Two sensors for measuring temperature, humidity, and barometric pressure are used by the system to collect data for the machine learning model. Two user interfaces are developed to help users in interacting with the model, and to monitor the predicted values. Finally, the results of the proposed air quality system are presented and analyzed and the future work has been outlined.\",\"PeriodicalId\":179336,\"journal\":{\"name\":\"2019 International Conference on Information Technologies (InfoTech)\",\"volume\":\"47 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Information Technologies (InfoTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/InfoTech.2019.8860883\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Information Technologies (InfoTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InfoTech.2019.8860883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent System for Air Quality Monitoring Assessment using the Raspberry Pi Platform
In this paper, an intelligent system that uses the Raspberry Pi platform and the machine learning model to predict the values of various pollutants in the air, based on temperature, humidity, and pressure is proposed. Two sensors for measuring temperature, humidity, and barometric pressure are used by the system to collect data for the machine learning model. Two user interfaces are developed to help users in interacting with the model, and to monitor the predicted values. Finally, the results of the proposed air quality system are presented and analyzed and the future work has been outlined.
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