Automatic data acquisition system-adas for energy optimization in tractors and implement.

Detalhes bibliográficos
Autor(a) principal: MANTOVANI, E. C.
Data de Publicação: 2023
Outros Autores: SANTOS, E. do C., OLIVEIRA, A. C. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155036
https://doi.org/10.18512/rbms2023v22e1304
Resumo: The technical dimensioning of the tractor set and implements for each crop and respective areas to be explored establishes the width of the implement, tractor power, and management characteristics to be used. Fuel consumption (l/h), operational work performance (ha/h), and quality of work are the most critical operational performance indicators in the set. The Automatic Data Acquisition System ? ADAS (SIAD in Portuguese), developed in 2018, was improved in 2020, to an easy-to-handle system aimed at managing field operations of the tractor+implement set, with a programmable acquisition module, with real-time records, georeferenced and stored in memory at one-second intervals. The ADAS was tested on a bench, and validated with the tractor+implement set plowing in alluvial soil, in 12 data collection cycles, for an operational evaluation. Comparing the traction efficiency of 43.07% obtained by the tractor+plow set for a slippage of 17.3%, it can be seen that it falls short of the values presented by Janulevičius et al. (2019). In addition, Table 4 indicates that the tractor is working with a very high range of slipping values, ranging from 17.3 to 41.9%, reinforcing the need for adjustments, especially with ballasts, to avoid power loss through the wheels and to keep the tractor moving. The essential information, fuel consumption, and slippage can be read in real-time by the operator, on the box display on the tractor panel, and later, by the technical area, as they are recorded in the microcomputer memory to analyze the operations.
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spelling Automatic data acquisition system-adas for energy optimization in tractors and implement.Instrumentação eletrônicaAquisição automática de dadosAvaliação operacionalMecanização AgrícolaThe technical dimensioning of the tractor set and implements for each crop and respective areas to be explored establishes the width of the implement, tractor power, and management characteristics to be used. Fuel consumption (l/h), operational work performance (ha/h), and quality of work are the most critical operational performance indicators in the set. The Automatic Data Acquisition System ? ADAS (SIAD in Portuguese), developed in 2018, was improved in 2020, to an easy-to-handle system aimed at managing field operations of the tractor+implement set, with a programmable acquisition module, with real-time records, georeferenced and stored in memory at one-second intervals. The ADAS was tested on a bench, and validated with the tractor+implement set plowing in alluvial soil, in 12 data collection cycles, for an operational evaluation. Comparing the traction efficiency of 43.07% obtained by the tractor+plow set for a slippage of 17.3%, it can be seen that it falls short of the values presented by Janulevičius et al. (2019). In addition, Table 4 indicates that the tractor is working with a very high range of slipping values, ranging from 17.3 to 41.9%, reinforcing the need for adjustments, especially with ballasts, to avoid power loss through the wheels and to keep the tractor moving. The essential information, fuel consumption, and slippage can be read in real-time by the operator, on the box display on the tractor panel, and later, by the technical area, as they are recorded in the microcomputer memory to analyze the operations.EVANDRO CHARTUNI MANTOVANI, Pesquisador aposentado-CNPMS; DEIVITY DO CARMO SANTOS, UNIFEMM; ANTONIO CARLOS DE OLIVEIRA, CNPMS.MANTOVANI, E. C.SANTOS, E. do C.OLIVEIRA, A. C. de2023-07-19T12:23:53Z2023-07-19T12:23:53Z2023-07-192023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Milho e Sorgo, v. 22, e1304, 2023.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155036https://doi.org/10.18512/rbms2023v22e1304enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-07-19T12:23:53Zoai:www.alice.cnptia.embrapa.br:doc/1155036Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-07-19T12:23:53Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Automatic data acquisition system-adas for energy optimization in tractors and implement.
title Automatic data acquisition system-adas for energy optimization in tractors and implement.
spellingShingle Automatic data acquisition system-adas for energy optimization in tractors and implement.
MANTOVANI, E. C.
Instrumentação eletrônica
Aquisição automática de dados
Avaliação operacional
Mecanização Agrícola
title_short Automatic data acquisition system-adas for energy optimization in tractors and implement.
title_full Automatic data acquisition system-adas for energy optimization in tractors and implement.
title_fullStr Automatic data acquisition system-adas for energy optimization in tractors and implement.
title_full_unstemmed Automatic data acquisition system-adas for energy optimization in tractors and implement.
title_sort Automatic data acquisition system-adas for energy optimization in tractors and implement.
author MANTOVANI, E. C.
author_facet MANTOVANI, E. C.
SANTOS, E. do C.
OLIVEIRA, A. C. de
author_role author
author2 SANTOS, E. do C.
OLIVEIRA, A. C. de
author2_role author
author
dc.contributor.none.fl_str_mv EVANDRO CHARTUNI MANTOVANI, Pesquisador aposentado-CNPMS; DEIVITY DO CARMO SANTOS, UNIFEMM; ANTONIO CARLOS DE OLIVEIRA, CNPMS.
dc.contributor.author.fl_str_mv MANTOVANI, E. C.
SANTOS, E. do C.
OLIVEIRA, A. C. de
dc.subject.por.fl_str_mv Instrumentação eletrônica
Aquisição automática de dados
Avaliação operacional
Mecanização Agrícola
topic Instrumentação eletrônica
Aquisição automática de dados
Avaliação operacional
Mecanização Agrícola
description The technical dimensioning of the tractor set and implements for each crop and respective areas to be explored establishes the width of the implement, tractor power, and management characteristics to be used. Fuel consumption (l/h), operational work performance (ha/h), and quality of work are the most critical operational performance indicators in the set. The Automatic Data Acquisition System ? ADAS (SIAD in Portuguese), developed in 2018, was improved in 2020, to an easy-to-handle system aimed at managing field operations of the tractor+implement set, with a programmable acquisition module, with real-time records, georeferenced and stored in memory at one-second intervals. The ADAS was tested on a bench, and validated with the tractor+implement set plowing in alluvial soil, in 12 data collection cycles, for an operational evaluation. Comparing the traction efficiency of 43.07% obtained by the tractor+plow set for a slippage of 17.3%, it can be seen that it falls short of the values presented by Janulevičius et al. (2019). In addition, Table 4 indicates that the tractor is working with a very high range of slipping values, ranging from 17.3 to 41.9%, reinforcing the need for adjustments, especially with ballasts, to avoid power loss through the wheels and to keep the tractor moving. The essential information, fuel consumption, and slippage can be read in real-time by the operator, on the box display on the tractor panel, and later, by the technical area, as they are recorded in the microcomputer memory to analyze the operations.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-19T12:23:53Z
2023-07-19T12:23:53Z
2023-07-19
2023
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Brasileira de Milho e Sorgo, v. 22, e1304, 2023.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155036
https://doi.org/10.18512/rbms2023v22e1304
identifier_str_mv Revista Brasileira de Milho e Sorgo, v. 22, e1304, 2023.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155036
https://doi.org/10.18512/rbms2023v22e1304
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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