Machine-to-machine emergency system for urban safety
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/15458 |
Resumo: | Nowadays most people live in urban areas. As populations grow, demand on the city ecosystem increases, directly affecting the entities responsible for the city control. Challenges like this make leaders adopt ways to engage with the surroundings of their city, making them more prepared and aware. The decisions they make not only directly affect the city in short term, but are also a means to improve the decision making process. This work aimed to develop a system which can act as an emergency and security supervisor in a city, generating alerts to empower entities responsible for disaster management. The system is capable of monitoring data from sensors and provide useful knowledge from it. This work presents an architecture for the collection of data in the Internet of Things (IoT). It delivers the analysis of the used tools and the choices made regarding the implemented system. Also, it provides the necessary inputs for developers to participate in the project, since it describes all the techniques, languages, strategies and programming paradigms used. Finally, it describes the prototype that receives data and processes it to generate alerts with the purpose of warning emergency response teams and the future implementation of a prediction module that can act as a useful tool to better manage the emergency personnel. The completion of the internship allowed the learning of new concepts and techniques, as well as the development of those that were already familiar. With regard to the company, the developed system will integrate the company’s Citibrain platform and will act as a central point, in which, every application (e.g. water management, waste management) can be subscribed to receive alerts. |
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Machine-to-machine emergency system for urban safetyDisaster ManagementEmergency SystemsSmart CitiesUrban SafetyNowadays most people live in urban areas. As populations grow, demand on the city ecosystem increases, directly affecting the entities responsible for the city control. Challenges like this make leaders adopt ways to engage with the surroundings of their city, making them more prepared and aware. The decisions they make not only directly affect the city in short term, but are also a means to improve the decision making process. This work aimed to develop a system which can act as an emergency and security supervisor in a city, generating alerts to empower entities responsible for disaster management. The system is capable of monitoring data from sensors and provide useful knowledge from it. This work presents an architecture for the collection of data in the Internet of Things (IoT). It delivers the analysis of the used tools and the choices made regarding the implemented system. Also, it provides the necessary inputs for developers to participate in the project, since it describes all the techniques, languages, strategies and programming paradigms used. Finally, it describes the prototype that receives data and processes it to generate alerts with the purpose of warning emergency response teams and the future implementation of a prediction module that can act as a useful tool to better manage the emergency personnel. The completion of the internship allowed the learning of new concepts and techniques, as well as the development of those that were already familiar. With regard to the company, the developed system will integrate the company’s Citibrain platform and will act as a central point, in which, every application (e.g. water management, waste management) can be subscribed to receive alerts.Bernardino, Jorge Fernandes RodriguesRepositório ComumDuarte, André Filipe Gomes2016-11-15T17:04:47Z2015-01-01T00:00:00Z2015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.26/15458201336952enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-05T15:39:28Zoai:comum.rcaap.pt:10400.26/15458Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:15:28.602453Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Machine-to-machine emergency system for urban safety |
title |
Machine-to-machine emergency system for urban safety |
spellingShingle |
Machine-to-machine emergency system for urban safety Duarte, André Filipe Gomes Disaster Management Emergency Systems Smart Cities Urban Safety |
title_short |
Machine-to-machine emergency system for urban safety |
title_full |
Machine-to-machine emergency system for urban safety |
title_fullStr |
Machine-to-machine emergency system for urban safety |
title_full_unstemmed |
Machine-to-machine emergency system for urban safety |
title_sort |
Machine-to-machine emergency system for urban safety |
author |
Duarte, André Filipe Gomes |
author_facet |
Duarte, André Filipe Gomes |
author_role |
author |
dc.contributor.none.fl_str_mv |
Bernardino, Jorge Fernandes Rodrigues Repositório Comum |
dc.contributor.author.fl_str_mv |
Duarte, André Filipe Gomes |
dc.subject.por.fl_str_mv |
Disaster Management Emergency Systems Smart Cities Urban Safety |
topic |
Disaster Management Emergency Systems Smart Cities Urban Safety |
description |
Nowadays most people live in urban areas. As populations grow, demand on the city ecosystem increases, directly affecting the entities responsible for the city control. Challenges like this make leaders adopt ways to engage with the surroundings of their city, making them more prepared and aware. The decisions they make not only directly affect the city in short term, but are also a means to improve the decision making process. This work aimed to develop a system which can act as an emergency and security supervisor in a city, generating alerts to empower entities responsible for disaster management. The system is capable of monitoring data from sensors and provide useful knowledge from it. This work presents an architecture for the collection of data in the Internet of Things (IoT). It delivers the analysis of the used tools and the choices made regarding the implemented system. Also, it provides the necessary inputs for developers to participate in the project, since it describes all the techniques, languages, strategies and programming paradigms used. Finally, it describes the prototype that receives data and processes it to generate alerts with the purpose of warning emergency response teams and the future implementation of a prediction module that can act as a useful tool to better manage the emergency personnel. The completion of the internship allowed the learning of new concepts and techniques, as well as the development of those that were already familiar. With regard to the company, the developed system will integrate the company’s Citibrain platform and will act as a central point, in which, every application (e.g. water management, waste management) can be subscribed to receive alerts. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01T00:00:00Z 2015-01-01T00:00:00Z 2016-11-15T17:04:47Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/15458 201336952 |
url |
http://hdl.handle.net/10400.26/15458 |
identifier_str_mv |
201336952 |
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.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799130019230908416 |