Fanf Ming, Riyaz Ahamed Ariyaluran Habeeb, F. Nasaruddin, A. Gani
{"title":"基于物联网和云技术的实时二氧化碳监测","authors":"Fanf Ming, Riyaz Ahamed Ariyaluran Habeeb, F. Nasaruddin, A. Gani","doi":"10.1145/3316615.3316622","DOIUrl":null,"url":null,"abstract":"In recent years, environment monitoring are of greater importance towards the area of climate monitoring, analysis, agricultural productivity management, quality assurance of water, air, alongside with other potential factors that are closely connected to industrial development and convenience of living. This research is motivated by creating awareness of smart home residents on indoor air quality, as well as providing insight of carbon dioxide emissions for industries and environmental organizations. This paper proposes an efficient solution towards environment monitoring of carbon dioxide integrated with Internet of Things capability and cloud computing technology. Aforementioned techniques will deliver highly accessible and real-time data visualization which would be greatly beneficial for Smart Homes efficiency of analysis actualization and counter-measures deployment. A monitoring architecture was developed to generate, accumulate, store and visualize carbon dioxide concentration using MQ135 carbon dioxide sensor, ESP8266 Wi-Fi module, Firebase Cloud Storage Service and Android mobile application Carbon Insight for data visualization. 2880 data points in the time frame of 10 days with a 30-second interval was collected, stored and visualized with the application of this system.","PeriodicalId":268392,"journal":{"name":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Real-Time Carbon Dioxide Monitoring Based on IoT & Cloud Technologies\",\"authors\":\"Fanf Ming, Riyaz Ahamed Ariyaluran Habeeb, F. Nasaruddin, A. Gani\",\"doi\":\"10.1145/3316615.3316622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, environment monitoring are of greater importance towards the area of climate monitoring, analysis, agricultural productivity management, quality assurance of water, air, alongside with other potential factors that are closely connected to industrial development and convenience of living. This research is motivated by creating awareness of smart home residents on indoor air quality, as well as providing insight of carbon dioxide emissions for industries and environmental organizations. This paper proposes an efficient solution towards environment monitoring of carbon dioxide integrated with Internet of Things capability and cloud computing technology. Aforementioned techniques will deliver highly accessible and real-time data visualization which would be greatly beneficial for Smart Homes efficiency of analysis actualization and counter-measures deployment. A monitoring architecture was developed to generate, accumulate, store and visualize carbon dioxide concentration using MQ135 carbon dioxide sensor, ESP8266 Wi-Fi module, Firebase Cloud Storage Service and Android mobile application Carbon Insight for data visualization. 2880 data points in the time frame of 10 days with a 30-second interval was collected, stored and visualized with the application of this system.\",\"PeriodicalId\":268392,\"journal\":{\"name\":\"Proceedings of the 2019 8th International Conference on Software and Computer Applications\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2019 8th International Conference on Software and Computer Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3316615.3316622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 8th International Conference on Software and Computer Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3316615.3316622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-Time Carbon Dioxide Monitoring Based on IoT & Cloud Technologies
In recent years, environment monitoring are of greater importance towards the area of climate monitoring, analysis, agricultural productivity management, quality assurance of water, air, alongside with other potential factors that are closely connected to industrial development and convenience of living. This research is motivated by creating awareness of smart home residents on indoor air quality, as well as providing insight of carbon dioxide emissions for industries and environmental organizations. This paper proposes an efficient solution towards environment monitoring of carbon dioxide integrated with Internet of Things capability and cloud computing technology. Aforementioned techniques will deliver highly accessible and real-time data visualization which would be greatly beneficial for Smart Homes efficiency of analysis actualization and counter-measures deployment. A monitoring architecture was developed to generate, accumulate, store and visualize carbon dioxide concentration using MQ135 carbon dioxide sensor, ESP8266 Wi-Fi module, Firebase Cloud Storage Service and Android mobile application Carbon Insight for data visualization. 2880 data points in the time frame of 10 days with a 30-second interval was collected, stored and visualized with the application of this system.