Detection System for Domestic Environmental Pollutants Based on ThingSpeak

Internet of things platforms is essential components for project development with connectivity. Thus, these have positioned themselves in the market by offering multiple cloud services, such as a database, application programming interface, and more. This paper presents a system that collects data f...

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Main Author: Varela-Aldás, José (author)
Other Authors: Miranda, Mario (author), Lasluisa, Guillerrmo (author)
Format: article
Language:eng
Published: 2023
Online Access:https://link.springer.com/chapter/10.1007/978-3-031-36001-5_72
https://hdl.handle.net/20.500.14809/5753
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author Varela-Aldás, José
author2 Miranda, Mario
Lasluisa, Guillerrmo
author2_role author
author
author_facet Varela-Aldás, José
Miranda, Mario
Lasluisa, Guillerrmo
author_role author
collection Repositorio Universidad Tecnológica Indoamérica
dc.creator.none.fl_str_mv Varela-Aldás, José
Miranda, Mario
Lasluisa, Guillerrmo
dc.date.none.fl_str_mv 2023-09-10T05:14:36Z
2023-09-10T05:14:36Z
2023
dc.identifier.none.fl_str_mv https://link.springer.com/chapter/10.1007/978-3-031-36001-5_72
https://hdl.handle.net/20.500.14809/5753
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Communications in Computer and Information Science, 1835 CCIS, pp. 554-559.
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Tecnológica Indoamérica
instname:Universidad Tecnológica Indoamérica
instacron:UTI
dc.title.none.fl_str_mv Detection System for Domestic Environmental Pollutants Based on ThingSpeak
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Internet of things platforms is essential components for project development with connectivity. Thus, these have positioned themselves in the market by offering multiple cloud services, such as a database, application programming interface, and more. This paper presents a system that collects data from air concentration sensors to detect the presence of pollutants. The electronic circuit uses a system-on-chip with WiFi connectivity and the MQ2 and MQ3 sensors, which detect liquefied petroleum gas and alcohol concentrations in the air, respectively. The system is based on the ThingSpeak platform, which receives and graphs data to see readings outside expected ranges. The results present the concentration levels of the MQ2 and MQ3 sensors, indicating the correct functioning of the system, and future applications of the proposed design are discussed.
eu_rights_str_mv openAccess
format article
id UTI_c39b2429e58e7513cbfbbc04a67b0aca
instacron_str UTI
institution UTI
instname_str Universidad Tecnológica Indoamérica
language eng
network_acronym_str UTI
network_name_str Repositorio Universidad Tecnológica Indoamérica
oai_identifier_str oai:repositorio.uti.edu.ec:20.500.14809/5753
publishDate 2023
publisher.none.fl_str_mv Communications in Computer and Information Science, 1835 CCIS, pp. 554-559.
reponame_str Repositorio Universidad Tecnológica Indoamérica
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoamérica
repository_id_str 0
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
spelling Detection System for Domestic Environmental Pollutants Based on ThingSpeakVarela-Aldás, JoséMiranda, MarioLasluisa, GuillerrmoInternet of things platforms is essential components for project development with connectivity. Thus, these have positioned themselves in the market by offering multiple cloud services, such as a database, application programming interface, and more. This paper presents a system that collects data from air concentration sensors to detect the presence of pollutants. The electronic circuit uses a system-on-chip with WiFi connectivity and the MQ2 and MQ3 sensors, which detect liquefied petroleum gas and alcohol concentrations in the air, respectively. The system is based on the ThingSpeak platform, which receives and graphs data to see readings outside expected ranges. The results present the concentration levels of the MQ2 and MQ3 sensors, indicating the correct functioning of the system, and future applications of the proposed design are discussed.Communications in Computer and Information Science, 1835 CCIS, pp. 554-559.2023-09-10T05:14:36Z2023-09-10T05:14:36Z2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://link.springer.com/chapter/10.1007/978-3-031-36001-5_72https://hdl.handle.net/20.500.14809/5753enghttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Tecnológica Indoaméricainstname:Universidad Tecnológica Indoaméricainstacron:UTI2023-12-11T19:38:53Zoai:repositorio.uti.edu.ec:20.500.14809/5753Institucionalhttps://repositorio.uti.edu.ec/Institución privadahttps://indoamerica.edu.ec/https://repositorio.uti.edu.ec/oai.Ecuador...opendoar:02023-12-11T19:38:53Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoaméricafalse
spellingShingle Detection System for Domestic Environmental Pollutants Based on ThingSpeak
Varela-Aldás, José
status_str publishedVersion
title Detection System for Domestic Environmental Pollutants Based on ThingSpeak
title_full Detection System for Domestic Environmental Pollutants Based on ThingSpeak
title_fullStr Detection System for Domestic Environmental Pollutants Based on ThingSpeak
title_full_unstemmed Detection System for Domestic Environmental Pollutants Based on ThingSpeak
title_short Detection System for Domestic Environmental Pollutants Based on ThingSpeak
title_sort Detection System for Domestic Environmental Pollutants Based on ThingSpeak
url https://link.springer.com/chapter/10.1007/978-3-031-36001-5_72
https://hdl.handle.net/20.500.14809/5753