Smart City: a prospective study of patent-based technology

Detalhes bibliográficos
Autor(a) principal: Silva, Vanessa de Souza
Data de Publicação: 2020
Outros Autores: Felizardo, Luiz Flávio, Dutra, Ana Cláudia
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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spelling 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
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