DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY

Detalhes bibliográficos
Autor(a) principal: Pontes de Araújo, João Luiz
Data de Publicação: 2024
Outros Autores: Castro Rodrigues, Caio, Chase, Otavio André, Pereira da Silva, Katiane, Giuseppe Garcia Caldas Nunes, Hildo, Madeira Beirão , Antonio Thiago
Tipo de documento: Artigo
Idioma: por
Título da fonte: Nativa (Sinop)
Texto Completo: https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/16796
Resumo: In order to offer an alternative in relation to the methods and technology classically used in the acquisition of meteorological data, this article aimed to develop an validate an embedded automatic weather station using the IoT platform ThingSpeak platform in the city of Belém - PA. For the acquisition of temperature, humidity, wind speed and precipitation data, the AM2301 temperature and humidity sensor, the SEN0170 anemometer and a tipping bucket rain gauge were used, with the storage and visualization of the acquired data being done through the ThingSpeak platform. To infer the reliability of the data obtained by the sensors used, statistical analysis methods and residual estimation error indicators were applied. The values found for the obtained indices were classified, for the most part, as 'Very Good' and 'Good', validating the functionality of the station, even considering that the values of unfavorable indices include the instrumental errors of the sensors and the spatial and temporal distribution of the observed variables, such errors cannot be inferred only to the sensors, suggesting methodological approximations that reduce the errors only to the instrumental error.
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spelling DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGYDESENVOLVIMENTO, IMPLEMENTAÇÃO E VALIDAÇÃO DE UMA ESTAÇÃO METEOROLÓGICA AUTOMÁTICA EMBARCADA BASEADA EM TECNOLOGIA IoTmeteorologymicrocontrollersInternet of ThingsmeteorologiamicrocontroladoresInternet das CoisasThingSpeakIn order to offer an alternative in relation to the methods and technology classically used in the acquisition of meteorological data, this article aimed to develop an validate an embedded automatic weather station using the IoT platform ThingSpeak platform in the city of Belém - PA. For the acquisition of temperature, humidity, wind speed and precipitation data, the AM2301 temperature and humidity sensor, the SEN0170 anemometer and a tipping bucket rain gauge were used, with the storage and visualization of the acquired data being done through the ThingSpeak platform. To infer the reliability of the data obtained by the sensors used, statistical analysis methods and residual estimation error indicators were applied. The values found for the obtained indices were classified, for the most part, as 'Very Good' and 'Good', validating the functionality of the station, even considering that the values of unfavorable indices include the instrumental errors of the sensors and the spatial and temporal distribution of the observed variables, such errors cannot be inferred only to the sensors, suggesting methodological approximations that reduce the errors only to the instrumental error.Este artigo descreve o desenvolvimento e implementação de uma estação meteorológica automática embarcada baseada no microcontrolador ESP8266 NodeMCU V3 e na plataforma IoT ThingSpeak, em Belém - PA. Foram coletados dados de temperatura e umidade, velocidade do vento e precipitação usando os sensores AM2301, SEN017 e PB10, respectivamente, durante o período de 13/05/2022-14/05/2022, realizando leituras horárias conforme a estação de referência do Instituto Nacional de Meteorologia (INMET) local, armazenando e visualizando os dados por meio da plataforma ThingSpeak. Para comparar os dados da estação desenvolvida com a estação de referência, foram aplicados métodos estatísticos como Coeficiente de Determinação (R²), Coeficiente de Nash-Sutcliffe (Ef), Índice de Concordância de Willmott (d), e indicadores de erro Erro Médio Absoluto (MAE), Raiz do Erro Quadrático Médio (RMSE) e Percentual Médio de Erro (PBias). Os resultados mostraram que os índices foram predominantemente classificados como 'Muito Bom' e 'Bom' para as variáveis de temperatura e umidade, com valores de R² de 0,95 e 0,89, respectivamente. No entanto, a variável de velocidade do vento apresentou um valor baixo de R² (0,03). As variáveis observadas, incluindo precipitação, mostraram comportamentos compatíveis com a área de estudo. Devido à distância geográfica das estações e a distribuição das variáveis, não é possível inferir a acurácia real dos sensores utilizados. No entanto, a análise realizada demonstrou a funcionalidade da estação, sugerindo para trabalhos futuros a validação da estação desenvolvida por meio da ampliação do período de observação e instalação próxima de uma estação meteorológica automática com erro instrumental conhecido, utilizando os dados desta como referência. Palavras-chave: monitoramento meteorológico; microcontroladores; ThingSpeak.   Development and implementation of an embedded automatic weather station based on IoT technology   ABSTRACT: This article describes developing and implementing an embedded automatic weather station based on the ESP8266 NodeMCU V3 microcontroller and the ThingSpeak IoT platform in Belém, PA. Temperature and humidity, wind speed and precipitation data were collected using the AM2301, SEN017 and PB10 sensors, respectively, during the period 13/05/2022-14/05/2022, taking hourly readings according to the reference station of the local National Institute of Meteorology (INMET), storing and visualizing the data using the ThingSpeak platform. To compare the data from the developed station with the reference station, statistical methods such as the Coefficient of Determination (R²), Nash-Sutcliffe Coefficient (Ef), Willmott Concordance Index (d), and error indicators Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Percentage Error (PBias) were applied. The results showed that the indices were predominantly classified as 'Very Good' and 'Good' for the temperature and humidity variables, with R² values of 0.95 and 0.89, respectively. However, the wind speed variable had a low R² value (0.03). Due to the geographical distance of the stations and the distribution of the variables, it is impossible to infer the real accuracy of the sensors used. However, the analysis demonstrated the station's functionality, suggesting that future work should validate the station developed by extending the observation period and installing it near an automatic weather station with known instrumental error, using its data as a reference. Keywords: weather monitoring; microcontrollers; ThingSpeak.Universidade Federal de Mato Grosso2024-02-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/1679610.31413/nat.v12i1.16796Nativa; v. 12 n. 1 (2024); 80-89Nativa; Vol. 12 Núm. 1 (2024); 80-89Nativa; Vol. 12 No. 1 (2024); 80-892318-7670reponame:Nativa (Sinop)instname:Universidade Federal de Mato Grosso (UFMT)instacron:UFMTporhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/16796/13411NacionalCopyright (c) 2024 Nativahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessPontes de Araújo, João Luiz Castro Rodrigues, Caio Chase, Otavio André Pereira da Silva, KatianeGiuseppe Garcia Caldas Nunes, HildoMadeira Beirão , Antonio Thiago2024-02-26T11:12:07Zoai:periodicoscientificos.ufmt.br:article/16796Revistahttps://periodicoscientificos.ufmt.br/ojs/index.php/nativaPUBhttps://periodicoscientificos.ufmt.br/ojs/index.php/nativa/oai||rrmelo2@yahoo.com.br2318-76702318-7670opendoar:2024-02-26T11:12:07Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT)false
dc.title.none.fl_str_mv DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
DESENVOLVIMENTO, IMPLEMENTAÇÃO E VALIDAÇÃO DE UMA ESTAÇÃO METEOROLÓGICA AUTOMÁTICA EMBARCADA BASEADA EM TECNOLOGIA IoT
title DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
spellingShingle DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
Pontes de Araújo, João Luiz
meteorology
microcontrollers
Internet of Things
meteorologia
microcontroladores
Internet das Coisas
ThingSpeak
title_short DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
title_full DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
title_fullStr DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
title_full_unstemmed DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
title_sort DEVELOPMENT, IMPLEMENTATION AND VALIDATION OF NA AUTOMATIC BOARDED WEATHER STATION BASEAD ON IOT TECHNOLOGY
author Pontes de Araújo, João Luiz
author_facet Pontes de Araújo, João Luiz
Castro Rodrigues, Caio
Chase, Otavio André
Pereira da Silva, Katiane
Giuseppe Garcia Caldas Nunes, Hildo
Madeira Beirão , Antonio Thiago
author_role author
author2 Castro Rodrigues, Caio
Chase, Otavio André
Pereira da Silva, Katiane
Giuseppe Garcia Caldas Nunes, Hildo
Madeira Beirão , Antonio Thiago
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Pontes de Araújo, João Luiz
Castro Rodrigues, Caio
Chase, Otavio André
Pereira da Silva, Katiane
Giuseppe Garcia Caldas Nunes, Hildo
Madeira Beirão , Antonio Thiago
dc.subject.por.fl_str_mv meteorology
microcontrollers
Internet of Things
meteorologia
microcontroladores
Internet das Coisas
ThingSpeak
topic meteorology
microcontrollers
Internet of Things
meteorologia
microcontroladores
Internet das Coisas
ThingSpeak
description In order to offer an alternative in relation to the methods and technology classically used in the acquisition of meteorological data, this article aimed to develop an validate an embedded automatic weather station using the IoT platform ThingSpeak platform in the city of Belém - PA. For the acquisition of temperature, humidity, wind speed and precipitation data, the AM2301 temperature and humidity sensor, the SEN0170 anemometer and a tipping bucket rain gauge were used, with the storage and visualization of the acquired data being done through the ThingSpeak platform. To infer the reliability of the data obtained by the sensors used, statistical analysis methods and residual estimation error indicators were applied. The values found for the obtained indices were classified, for the most part, as 'Very Good' and 'Good', validating the functionality of the station, even considering that the values of unfavorable indices include the instrumental errors of the sensors and the spatial and temporal distribution of the observed variables, such errors cannot be inferred only to the sensors, suggesting methodological approximations that reduce the errors only to the instrumental error.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-26
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/16796
10.31413/nat.v12i1.16796
url https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/16796
identifier_str_mv 10.31413/nat.v12i1.16796
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicoscientificos.ufmt.br/ojs/index.php/nativa/article/view/16796/13411
dc.rights.driver.fl_str_mv Copyright (c) 2024 Nativa
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Nativa
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Nacional
dc.publisher.none.fl_str_mv Universidade Federal de Mato Grosso
publisher.none.fl_str_mv Universidade Federal de Mato Grosso
dc.source.none.fl_str_mv Nativa; v. 12 n. 1 (2024); 80-89
Nativa; Vol. 12 Núm. 1 (2024); 80-89
Nativa; Vol. 12 No. 1 (2024); 80-89
2318-7670
reponame:Nativa (Sinop)
instname:Universidade Federal de Mato Grosso (UFMT)
instacron:UFMT
instname_str Universidade Federal de Mato Grosso (UFMT)
instacron_str UFMT
institution UFMT
reponame_str Nativa (Sinop)
collection Nativa (Sinop)
repository.name.fl_str_mv Nativa (Sinop) - Universidade Federal de Mato Grosso (UFMT)
repository.mail.fl_str_mv ||rrmelo2@yahoo.com.br
_version_ 1799711193616613376

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