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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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2023
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| 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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| _version_ | 1858415124645150720 |
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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 |