Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones

Detalhes bibliográficos
Autor(a) principal: Rangel, Rodrigo Kuntz
Data de Publicação: 2020
Outros Autores: Freitas, Joacy L., De Souza, Teofilo Miguel [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/AERO47225.2020.9172439
http://hdl.handle.net/11449/205308
Resumo: This paper describes the development of a real application using Drones over urban regions to help the authorities at epidemiological control through a disruptive solutions based on a customizable Smart Integrated Management System (SIGI), devices and software based on the Enterprise Resource Planning (ERP) concept. Compound by management software, Drones and specific IoT devices, both referred to as sensors, the sensors collect the data of the interest areas in real time, creating a specified database. Based on the data collected from the interest areas, SIGI software has the ability to show real-time situational analysis of these areas and allows that the administrator can optimize resources (material and human) improving the efficiency of resource allocation in these areas. In addition to the development of the management software, the development of sensors to collect the information in the field and update these information to the database of the management software, are considered. The sensors will be recognized as IoT devices for the collection of meteorological data, images and command / control Drones. Initially the system will be customized, using an Artificial Intelligence tool, to collect data and identify the outbreaks of the dengue mosquito, zika and Chikungunya, nominee by risk areas. After the definition of the potential risk areas, in a complementary way, a totally customized Drone will be used to map these areas of interest, generating aerial photographs, identifying and geotagging the potential 'targets', which will allow the agents to identify potential mosquito breeding sites. After the identification of breeding areas, the next step will be the effective combat of the vectors, using the Drones to fly over the areas of interest, where biological defenses will be 'dropped' over the targets to combat mosquitoes. Due some Drone flight restrictions over the cities, the whole process will be monitored by a situation room, that will be able to control the Drone remotely, access the air space controller, reads the sensors installed in the city (field), that will measure, for example, rainfall through weather stations installed in risk areas and subsequently processed by Intelligent System Integrated Management (SIGI), which will result to the information public official reflecting the situational analysis of the areas, which will enable a better management of available resources, helping the public agent, preventively in the decision making.
id UNSP_8793aba75e4d51f3fb2dcae592d0ae69
oai_identifier_str oai:repositorio.unesp.br:11449/205308
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using DronesThis paper describes the development of a real application using Drones over urban regions to help the authorities at epidemiological control through a disruptive solutions based on a customizable Smart Integrated Management System (SIGI), devices and software based on the Enterprise Resource Planning (ERP) concept. Compound by management software, Drones and specific IoT devices, both referred to as sensors, the sensors collect the data of the interest areas in real time, creating a specified database. Based on the data collected from the interest areas, SIGI software has the ability to show real-time situational analysis of these areas and allows that the administrator can optimize resources (material and human) improving the efficiency of resource allocation in these areas. In addition to the development of the management software, the development of sensors to collect the information in the field and update these information to the database of the management software, are considered. The sensors will be recognized as IoT devices for the collection of meteorological data, images and command / control Drones. Initially the system will be customized, using an Artificial Intelligence tool, to collect data and identify the outbreaks of the dengue mosquito, zika and Chikungunya, nominee by risk areas. After the definition of the potential risk areas, in a complementary way, a totally customized Drone will be used to map these areas of interest, generating aerial photographs, identifying and geotagging the potential 'targets', which will allow the agents to identify potential mosquito breeding sites. After the identification of breeding areas, the next step will be the effective combat of the vectors, using the Drones to fly over the areas of interest, where biological defenses will be 'dropped' over the targets to combat mosquitoes. Due some Drone flight restrictions over the cities, the whole process will be monitored by a situation room, that will be able to control the Drone remotely, access the air space controller, reads the sensors installed in the city (field), that will measure, for example, rainfall through weather stations installed in risk areas and subsequently processed by Intelligent System Integrated Management (SIGI), which will result to the information public official reflecting the situational analysis of the areas, which will enable a better management of available resources, helping the public agent, preventively in the decision making.Ibrv - Institute of Research and Development; Brv Uav Flight Systems BrvantUnesp - São Paulo State University;Unesp - São Paulo State University;Uav Flight Systems BrvantUniversidade Estadual Paulista (Unesp)Rangel, Rodrigo KuntzFreitas, Joacy L.De Souza, Teofilo Miguel [UNESP]2021-06-25T10:13:12Z2021-06-25T10:13:12Z2020-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/AERO47225.2020.9172439IEEE Aerospace Conference Proceedings.1095-323Xhttp://hdl.handle.net/11449/20530810.1109/AERO47225.2020.91724392-s2.0-85092582069Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Aerospace Conference Proceedingsinfo:eu-repo/semantics/openAccess2021-10-23T12:31:33Zoai:repositorio.unesp.br:11449/205308Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T12:31:33Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
title Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
spellingShingle Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
Rangel, Rodrigo Kuntz
title_short Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
title_full Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
title_fullStr Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
title_full_unstemmed Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
title_sort Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones
author Rangel, Rodrigo Kuntz
author_facet Rangel, Rodrigo Kuntz
Freitas, Joacy L.
De Souza, Teofilo Miguel [UNESP]
author_role author
author2 Freitas, Joacy L.
De Souza, Teofilo Miguel [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Uav Flight Systems Brvant
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Rangel, Rodrigo Kuntz
Freitas, Joacy L.
De Souza, Teofilo Miguel [UNESP]
description This paper describes the development of a real application using Drones over urban regions to help the authorities at epidemiological control through a disruptive solutions based on a customizable Smart Integrated Management System (SIGI), devices and software based on the Enterprise Resource Planning (ERP) concept. Compound by management software, Drones and specific IoT devices, both referred to as sensors, the sensors collect the data of the interest areas in real time, creating a specified database. Based on the data collected from the interest areas, SIGI software has the ability to show real-time situational analysis of these areas and allows that the administrator can optimize resources (material and human) improving the efficiency of resource allocation in these areas. In addition to the development of the management software, the development of sensors to collect the information in the field and update these information to the database of the management software, are considered. The sensors will be recognized as IoT devices for the collection of meteorological data, images and command / control Drones. Initially the system will be customized, using an Artificial Intelligence tool, to collect data and identify the outbreaks of the dengue mosquito, zika and Chikungunya, nominee by risk areas. After the definition of the potential risk areas, in a complementary way, a totally customized Drone will be used to map these areas of interest, generating aerial photographs, identifying and geotagging the potential 'targets', which will allow the agents to identify potential mosquito breeding sites. After the identification of breeding areas, the next step will be the effective combat of the vectors, using the Drones to fly over the areas of interest, where biological defenses will be 'dropped' over the targets to combat mosquitoes. Due some Drone flight restrictions over the cities, the whole process will be monitored by a situation room, that will be able to control the Drone remotely, access the air space controller, reads the sensors installed in the city (field), that will measure, for example, rainfall through weather stations installed in risk areas and subsequently processed by Intelligent System Integrated Management (SIGI), which will result to the information public official reflecting the situational analysis of the areas, which will enable a better management of available resources, helping the public agent, preventively in the decision making.
publishDate 2020
dc.date.none.fl_str_mv 2020-03-01
2021-06-25T10:13:12Z
2021-06-25T10:13:12Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/AERO47225.2020.9172439
IEEE Aerospace Conference Proceedings.
1095-323X
http://hdl.handle.net/11449/205308
10.1109/AERO47225.2020.9172439
2-s2.0-85092582069
url http://dx.doi.org/10.1109/AERO47225.2020.9172439
http://hdl.handle.net/11449/205308
identifier_str_mv IEEE Aerospace Conference Proceedings.
1095-323X
10.1109/AERO47225.2020.9172439
2-s2.0-85092582069
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Aerospace Conference Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803650136067276800