Air pollution monitoring system based on wireless sensor networks
Air pollution is the biggest environmental hazard that cannot be ignored. Due to increase in number of industries and urbanization increases air pollutants concentrations in many areas because of this different changes are been happening in human life like health issues and as well as other living o...
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| Format: | Article |
| Language: | English |
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REA Press
2023-03-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_163356_c28ef3dba2a6271c8a376b8baea89108.pdf |
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| author | Natalja Osintsev |
| author_facet | Natalja Osintsev |
| author_sort | Natalja Osintsev |
| collection | DOAJ |
| description | Air pollution is the biggest environmental hazard that cannot be ignored. Due to increase in number of industries and urbanization increases air pollutants concentrations in many areas because of this different changes are been happening in human life like health issues and as well as other living organisms. We have some pollutant emission monitoring systems, like Opsis, Codel, Urac and TAS-Air metrics which are expensive. As well as these systems have limitations to be installed on chimney due to their principle of operation. In this work I like to propose a function that is easy to use and causes less cost compared to the other ones. That is an industrial air pollution monitoring system based on the technology of Wireless Sensor Networks (WSNs). This system is integrated with the Global System for Mobile (GSM) communications and the protocol it uses is zigbee. The system consists of sensor nodes, a control center and data base through which sensing data can be stored for history and future plans. It is used to monitor Carbon Monoxide (CO), Sulfur Dioxide (SO2) and dust concentration caused by industrial emissions due to process. |
| format | Article |
| id | doaj-art-e86fc14150244987be04212094cd8ba6 |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2023-03-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-e86fc14150244987be04212094cd8ba62025-01-30T12:22:38ZengREA PressBig Data and Computing Visions2783-49562821-014X2023-03-01311710.22105/bdcv.2022.334375.1079163356Air pollution monitoring system based on wireless sensor networksNatalja Osintsev0Fraunhofer-Institut für Holzforschung Wilhelm-Klauditz Institut WKI, Bienroder Weg 54 E, 38108 Brunswick, Germany.Air pollution is the biggest environmental hazard that cannot be ignored. Due to increase in number of industries and urbanization increases air pollutants concentrations in many areas because of this different changes are been happening in human life like health issues and as well as other living organisms. We have some pollutant emission monitoring systems, like Opsis, Codel, Urac and TAS-Air metrics which are expensive. As well as these systems have limitations to be installed on chimney due to their principle of operation. In this work I like to propose a function that is easy to use and causes less cost compared to the other ones. That is an industrial air pollution monitoring system based on the technology of Wireless Sensor Networks (WSNs). This system is integrated with the Global System for Mobile (GSM) communications and the protocol it uses is zigbee. The system consists of sensor nodes, a control center and data base through which sensing data can be stored for history and future plans. It is used to monitor Carbon Monoxide (CO), Sulfur Dioxide (SO2) and dust concentration caused by industrial emissions due to process.https://www.bidacv.com/article_163356_c28ef3dba2a6271c8a376b8baea89108.pdfobject detection modelneural networkdeep learningpython |
| spellingShingle | Natalja Osintsev Air pollution monitoring system based on wireless sensor networks Big Data and Computing Visions object detection model neural network deep learning python |
| title | Air pollution monitoring system based on wireless sensor networks |
| title_full | Air pollution monitoring system based on wireless sensor networks |
| title_fullStr | Air pollution monitoring system based on wireless sensor networks |
| title_full_unstemmed | Air pollution monitoring system based on wireless sensor networks |
| title_short | Air pollution monitoring system based on wireless sensor networks |
| title_sort | air pollution monitoring system based on wireless sensor networks |
| topic | object detection model neural network deep learning python |
| url | https://www.bidacv.com/article_163356_c28ef3dba2a6271c8a376b8baea89108.pdf |
| work_keys_str_mv | AT nataljaosintsev airpollutionmonitoringsystembasedonwirelesssensornetworks |