A compact, modular and low-cost Internet of Things (IoT) platform for air quality monitoring in urban areas
The recent emergence of low-cost sensor technologies, measuring various air pollutants, enables the real-time collection of air pollution data, with high spatio-temporal resolution. In our recent study, we developed and deployed low-cost air quality monitoring sensors and distributed them to citizen...
Gespeichert in:
| Veröffentlicht in: | Journal of physics. Conference series 2020-11, Vol.1710 (1), p.12004 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 1 |
| container_start_page | 12004 |
| container_title | Journal of physics. Conference series |
| container_volume | 1710 |
| creator | Spandonidis, Christos Tsantilas, Stefanos Sedikos, Elias Galiatsatos, Nektarios Giannopoulos, Fotios Papadopoulos, Panagiotis Demagos, Nikolaos Reppas, Dimitrios Giordamlis, Christos |
| description | The recent emergence of low-cost sensor technologies, measuring various air pollutants, enables the real-time collection of air pollution data, with high spatio-temporal resolution. In our recent study, we developed and deployed low-cost air quality monitoring sensors and distributed them to citizens of Thessaloniki, Greece. The aim of this study was to provide near real-time air pollution measurements that will allow the better representation of the air pollution levels in the greater area of Thessaloniki. In the current work, we present the low-cost adjustable wireless sensor platform that has been developed for air pollution monitoring in urban areas. The platform can take sensor measurements down to one sample per second and is suitable for Big Data analysis applications such as air quality forecasts, weather forecasts and traffic prediction. The paper aims to contribute to the area of low-cost, distributed sensor networks for Environmental Intelligence applications. |
| doi_str_mv | 10.1088/1742-6596/1710/1/012004 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2624478355</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2624478355</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3674-78537d19fdd3867e15b71c19dd68fe7534cbcd7403fc0c57c791217aba05b0133</originalsourceid><addsrcrecordid>eNqFkF1LwzAUhosoOKe_wYA3KtYlTdOklzL8mAwUnNchTRrtbJMuaZH9e1MqE0HwXOQcyHPeA08UnSJ4jSBjM0TTJM5InoUJwRmaQZRAmO5Fk93P_m5m7DA68n4NIQ5FJ9HHDZC2aYXsrkBjVV8LB4RRoLafsbS-AwvTlc6UHbAarN4r8-bB-cKuLkBbi05b14DwAFE5sOlFXXXbEGOqzrqAgsqA3hXCAOFK4Y-jAy1qX55892n0ene7mj_Ey6f7xfxmGUuc0TSmjGCqUK6VwiyjJSIFRRLlSmVMl5TgVBZS0RRiLaEkVNIcJYiKQkBSQITxNDobc1tnN33pO762vTPhJE-yJE0pw4QEio6UdNZ7V2reuqoRbssR5INZPjjjgz8-mOWIj2bD5uW4Wdn2J_rxef7yG-St0gHGf8D_nfgCm92Hiw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2624478355</pqid></control><display><type>article</type><title>A compact, modular and low-cost Internet of Things (IoT) platform for air quality monitoring in urban areas</title><source>IOP Publishing Free Content</source><source>Institute of Physics IOPscience extra</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Spandonidis, Christos ; Tsantilas, Stefanos ; Sedikos, Elias ; Galiatsatos, Nektarios ; Giannopoulos, Fotios ; Papadopoulos, Panagiotis ; Demagos, Nikolaos ; Reppas, Dimitrios ; Giordamlis, Christos</creator><creatorcontrib>Spandonidis, Christos ; Tsantilas, Stefanos ; Sedikos, Elias ; Galiatsatos, Nektarios ; Giannopoulos, Fotios ; Papadopoulos, Panagiotis ; Demagos, Nikolaos ; Reppas, Dimitrios ; Giordamlis, Christos</creatorcontrib><description>The recent emergence of low-cost sensor technologies, measuring various air pollutants, enables the real-time collection of air pollution data, with high spatio-temporal resolution. In our recent study, we developed and deployed low-cost air quality monitoring sensors and distributed them to citizens of Thessaloniki, Greece. The aim of this study was to provide near real-time air pollution measurements that will allow the better representation of the air pollution levels in the greater area of Thessaloniki. In the current work, we present the low-cost adjustable wireless sensor platform that has been developed for air pollution monitoring in urban areas. The platform can take sensor measurements down to one sample per second and is suitable for Big Data analysis applications such as air quality forecasts, weather forecasts and traffic prediction. The paper aims to contribute to the area of low-cost, distributed sensor networks for Environmental Intelligence applications.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1710/1/012004</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Air monitoring ; Air pollution ; Air quality ; Big Data ; Data analysis ; Environmental monitoring ; Internet of Things ; Low cost ; Physics ; Pollutants ; Pollution levels ; Pollution monitoring ; Real time ; Sensors ; Temporal resolution ; Time measurement ; Urban areas ; Weather forecasting</subject><ispartof>Journal of physics. Conference series, 2020-11, Vol.1710 (1), p.12004</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3674-78537d19fdd3867e15b71c19dd68fe7534cbcd7403fc0c57c791217aba05b0133</citedby><cites>FETCH-LOGICAL-c3674-78537d19fdd3867e15b71c19dd68fe7534cbcd7403fc0c57c791217aba05b0133</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/1710/1/012004/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27924,27925,38868,38890,53840,53867</link.rule.ids></links><search><creatorcontrib>Spandonidis, Christos</creatorcontrib><creatorcontrib>Tsantilas, Stefanos</creatorcontrib><creatorcontrib>Sedikos, Elias</creatorcontrib><creatorcontrib>Galiatsatos, Nektarios</creatorcontrib><creatorcontrib>Giannopoulos, Fotios</creatorcontrib><creatorcontrib>Papadopoulos, Panagiotis</creatorcontrib><creatorcontrib>Demagos, Nikolaos</creatorcontrib><creatorcontrib>Reppas, Dimitrios</creatorcontrib><creatorcontrib>Giordamlis, Christos</creatorcontrib><title>A compact, modular and low-cost Internet of Things (IoT) platform for air quality monitoring in urban areas</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>The recent emergence of low-cost sensor technologies, measuring various air pollutants, enables the real-time collection of air pollution data, with high spatio-temporal resolution. In our recent study, we developed and deployed low-cost air quality monitoring sensors and distributed them to citizens of Thessaloniki, Greece. The aim of this study was to provide near real-time air pollution measurements that will allow the better representation of the air pollution levels in the greater area of Thessaloniki. In the current work, we present the low-cost adjustable wireless sensor platform that has been developed for air pollution monitoring in urban areas. The platform can take sensor measurements down to one sample per second and is suitable for Big Data analysis applications such as air quality forecasts, weather forecasts and traffic prediction. The paper aims to contribute to the area of low-cost, distributed sensor networks for Environmental Intelligence applications.</description><subject>Air monitoring</subject><subject>Air pollution</subject><subject>Air quality</subject><subject>Big Data</subject><subject>Data analysis</subject><subject>Environmental monitoring</subject><subject>Internet of Things</subject><subject>Low cost</subject><subject>Physics</subject><subject>Pollutants</subject><subject>Pollution levels</subject><subject>Pollution monitoring</subject><subject>Real time</subject><subject>Sensors</subject><subject>Temporal resolution</subject><subject>Time measurement</subject><subject>Urban areas</subject><subject>Weather forecasting</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkF1LwzAUhosoOKe_wYA3KtYlTdOklzL8mAwUnNchTRrtbJMuaZH9e1MqE0HwXOQcyHPeA08UnSJ4jSBjM0TTJM5InoUJwRmaQZRAmO5Fk93P_m5m7DA68n4NIQ5FJ9HHDZC2aYXsrkBjVV8LB4RRoLafsbS-AwvTlc6UHbAarN4r8-bB-cKuLkBbi05b14DwAFE5sOlFXXXbEGOqzrqAgsqA3hXCAOFK4Y-jAy1qX55892n0ene7mj_Ey6f7xfxmGUuc0TSmjGCqUK6VwiyjJSIFRRLlSmVMl5TgVBZS0RRiLaEkVNIcJYiKQkBSQITxNDobc1tnN33pO762vTPhJE-yJE0pw4QEio6UdNZ7V2reuqoRbssR5INZPjjjgz8-mOWIj2bD5uW4Wdn2J_rxef7yG-St0gHGf8D_nfgCm92Hiw</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Spandonidis, Christos</creator><creator>Tsantilas, Stefanos</creator><creator>Sedikos, Elias</creator><creator>Galiatsatos, Nektarios</creator><creator>Giannopoulos, Fotios</creator><creator>Papadopoulos, Panagiotis</creator><creator>Demagos, Nikolaos</creator><creator>Reppas, Dimitrios</creator><creator>Giordamlis, Christos</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20201101</creationdate><title>A compact, modular and low-cost Internet of Things (IoT) platform for air quality monitoring in urban areas</title><author>Spandonidis, Christos ; Tsantilas, Stefanos ; Sedikos, Elias ; Galiatsatos, Nektarios ; Giannopoulos, Fotios ; Papadopoulos, Panagiotis ; Demagos, Nikolaos ; Reppas, Dimitrios ; Giordamlis, Christos</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3674-78537d19fdd3867e15b71c19dd68fe7534cbcd7403fc0c57c791217aba05b0133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Air monitoring</topic><topic>Air pollution</topic><topic>Air quality</topic><topic>Big Data</topic><topic>Data analysis</topic><topic>Environmental monitoring</topic><topic>Internet of Things</topic><topic>Low cost</topic><topic>Physics</topic><topic>Pollutants</topic><topic>Pollution levels</topic><topic>Pollution monitoring</topic><topic>Real time</topic><topic>Sensors</topic><topic>Temporal resolution</topic><topic>Time measurement</topic><topic>Urban areas</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Spandonidis, Christos</creatorcontrib><creatorcontrib>Tsantilas, Stefanos</creatorcontrib><creatorcontrib>Sedikos, Elias</creatorcontrib><creatorcontrib>Galiatsatos, Nektarios</creatorcontrib><creatorcontrib>Giannopoulos, Fotios</creatorcontrib><creatorcontrib>Papadopoulos, Panagiotis</creatorcontrib><creatorcontrib>Demagos, Nikolaos</creatorcontrib><creatorcontrib>Reppas, Dimitrios</creatorcontrib><creatorcontrib>Giordamlis, Christos</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Spandonidis, Christos</au><au>Tsantilas, Stefanos</au><au>Sedikos, Elias</au><au>Galiatsatos, Nektarios</au><au>Giannopoulos, Fotios</au><au>Papadopoulos, Panagiotis</au><au>Demagos, Nikolaos</au><au>Reppas, Dimitrios</au><au>Giordamlis, Christos</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A compact, modular and low-cost Internet of Things (IoT) platform for air quality monitoring in urban areas</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2020-11-01</date><risdate>2020</risdate><volume>1710</volume><issue>1</issue><spage>12004</spage><pages>12004-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>The recent emergence of low-cost sensor technologies, measuring various air pollutants, enables the real-time collection of air pollution data, with high spatio-temporal resolution. In our recent study, we developed and deployed low-cost air quality monitoring sensors and distributed them to citizens of Thessaloniki, Greece. The aim of this study was to provide near real-time air pollution measurements that will allow the better representation of the air pollution levels in the greater area of Thessaloniki. In the current work, we present the low-cost adjustable wireless sensor platform that has been developed for air pollution monitoring in urban areas. The platform can take sensor measurements down to one sample per second and is suitable for Big Data analysis applications such as air quality forecasts, weather forecasts and traffic prediction. The paper aims to contribute to the area of low-cost, distributed sensor networks for Environmental Intelligence applications.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1710/1/012004</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1742-6588 |
| ispartof | Journal of physics. Conference series, 2020-11, Vol.1710 (1), p.12004 |
| issn | 1742-6588 1742-6596 |
| language | eng |
| recordid | cdi_proquest_journals_2624478355 |
| source | IOP Publishing Free Content; Institute of Physics IOPscience extra; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Air monitoring Air pollution Air quality Big Data Data analysis Environmental monitoring Internet of Things Low cost Physics Pollutants Pollution levels Pollution monitoring Real time Sensors Temporal resolution Time measurement Urban areas Weather forecasting |
| title | A compact, modular and low-cost Internet of Things (IoT) platform for air quality monitoring in urban areas |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T21%3A32%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20compact,%20modular%20and%20low-cost%20Internet%20of%20Things%20(IoT)%20platform%20for%20air%20quality%20monitoring%20in%20urban%20areas&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Spandonidis,%20Christos&rft.date=2020-11-01&rft.volume=1710&rft.issue=1&rft.spage=12004&rft.pages=12004-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/1710/1/012004&rft_dat=%3Cproquest_iop_j%3E2624478355%3C/proquest_iop_j%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2624478355&rft_id=info:pmid/&rfr_iscdi=true |