Smart City: a prospective study of patent-based technology
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos de Prospecção (Online) |
Texto Completo: | https://periodicos.ufba.br/index.php/nit/article/view/32677 |
Resumo: | A smart city is a well-defined geographical area where technologies cooperate to create benefits for citizens, this way patent protection of these technologies is of great relevance. Within this context this research aims to carry out an analysis of patents in the area of Smart Cities around the world, to reach this goal the Espacent database was used. The prospection was around the data from the main applicant countries and the international classification codes that most define the patents applied. The research found 412 results for published patents on the subject, most in the sections of physics and electricity. Since the precursor patent published in 2010 there has been an exponential increase in intellectual property publications, with China being the most dominant country for patents involving this subject, a fact that can possibly be corroborated due to the great investment of the country in technological innovations. |
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Smart City: a prospective study of patent-based technologySmart City: um estudo prospectivo da tecnologia com base nas patentesSmart CityPatentesProspecção Tecnológica.Smart cityPatentsTechnological Prospection.A smart city is a well-defined geographical area where technologies cooperate to create benefits for citizens, this way patent protection of these technologies is of great relevance. Within this context this research aims to carry out an analysis of patents in the area of Smart Cities around the world, to reach this goal the Espacent database was used. The prospection was around the data from the main applicant countries and the international classification codes that most define the patents applied. The research found 412 results for published patents on the subject, most in the sections of physics and electricity. Since the precursor patent published in 2010 there has been an exponential increase in intellectual property publications, with China being the most dominant country for patents involving this subject, a fact that can possibly be corroborated due to the great investment of the country in technological innovations.Uma cidade inteligente é uma área geográfica bem definida, na qual tecnologias cooperam para criar benefícios para os cidadãos, dessa forma, a proteção dessas tecnologias por meio das patentes tem grande relevância. Nesse contexto, esta pesquisa tem como objetivo realizar o levantamento das patentes na aŕea de Smart Cities no mundo, para isso, foi utilizada a base de dados Espacent. A prospecção apontou dados dos principais países solicitantes e os códigos de classificação internacional que mais definem as patentes solicitadas. Na busca, foram encontrados 412 resultados para patentes publicadas sobre o referido assunto, a maioria nas seções de física e eletricidade. Desde a patente precursora publicada em 2010, houve um aumento quase que exponencial de propriedades intelectuais, das quais a China é o país dominante no que diz respeito a patentes que envolvem essa temática, fato que possivelmente pode ser corroborado devido ao grande investimento do país em inovações tecnológicas.Universidade Federal da Bahia2020-03-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3267710.9771/cp.v13i1.32677Cadernos de Prospecção; Vol. 13 No. 1 (2020); 171Cadernos de Prospecção; v. 13 n. 1 (2020); 1712317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/32677/20797Copyright (c) 2020 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Vanessa de SouzaFelizardo, Luiz FlávioDutra, Ana Cláudia2020-03-27T18:56:35Zoai:ojs.periodicos.ufba.br:article/32677Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2020-03-27T18:56:35Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Smart City: a prospective study of patent-based technology Smart City: um estudo prospectivo da tecnologia com base nas patentes |
title |
Smart City: a prospective study of patent-based technology |
spellingShingle |
Smart City: a prospective study of patent-based technology Silva, Vanessa de Souza Smart City Patentes Prospecção Tecnológica. Smart city Patents Technological Prospection. |
title_short |
Smart City: a prospective study of patent-based technology |
title_full |
Smart City: a prospective study of patent-based technology |
title_fullStr |
Smart City: a prospective study of patent-based technology |
title_full_unstemmed |
Smart City: a prospective study of patent-based technology |
title_sort |
Smart City: a prospective study of patent-based technology |
author |
Silva, Vanessa de Souza |
author_facet |
Silva, Vanessa de Souza Felizardo, Luiz Flávio Dutra, Ana Cláudia |
author_role |
author |
author2 |
Felizardo, Luiz Flávio Dutra, Ana Cláudia |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Vanessa de Souza Felizardo, Luiz Flávio Dutra, Ana Cláudia |
dc.subject.por.fl_str_mv |
Smart City Patentes Prospecção Tecnológica. Smart city Patents Technological Prospection. |
topic |
Smart City Patentes Prospecção Tecnológica. Smart city Patents Technological Prospection. |
description |
A smart city is a well-defined geographical area where technologies cooperate to create benefits for citizens, this way patent protection of these technologies is of great relevance. Within this context this research aims to carry out an analysis of patents in the area of Smart Cities around the world, to reach this goal the Espacent database was used. The prospection was around the data from the main applicant countries and the international classification codes that most define the patents applied. The research found 412 results for published patents on the subject, most in the sections of physics and electricity. Since the precursor patent published in 2010 there has been an exponential increase in intellectual property publications, with China being the most dominant country for patents involving this subject, a fact that can possibly be corroborated due to the great investment of the country in technological innovations. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-27 |
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://periodicos.ufba.br/index.php/nit/article/view/32677 10.9771/cp.v13i1.32677 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/32677 |
identifier_str_mv |
10.9771/cp.v13i1.32677 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/32677/20797 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.source.none.fl_str_mv |
Cadernos de Prospecção; Vol. 13 No. 1 (2020); 171 Cadernos de Prospecção; v. 13 n. 1 (2020); 171 2317-0026 1983-1358 reponame:Cadernos de Prospecção (Online) instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
Cadernos de Prospecção (Online) |
collection |
Cadernos de Prospecção (Online) |
repository.name.fl_str_mv |
Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA) |
repository.mail.fl_str_mv |
cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com |
_version_ |
1799319847275855872 |