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Metadados | Descrição | Idioma |
---|---|---|
Autor(es): dc.contributor | Uav Flight Systems Brvant | - |
Autor(es): dc.contributor | Universidade Estadual Paulista (Unesp) | - |
Autor(es): dc.creator | Rangel, Rodrigo Kuntz | - |
Autor(es): dc.creator | Freitas, Joacy L. | - |
Autor(es): dc.creator | De Souza, Teofilo Miguel [UNESP] | - |
Data de aceite: dc.date.accessioned | 2022-02-22T00:44:00Z | - |
Data de disponibilização: dc.date.available | 2022-02-22T00:44:00Z | - |
Data de envio: dc.date.issued | 2021-06-25 | - |
Data de envio: dc.date.issued | 2021-06-25 | - |
Data de envio: dc.date.issued | 2020-03-01 | - |
Fonte completa do material: dc.identifier | http://dx.doi.org/10.1109/AERO47225.2020.9172439 | - |
Fonte completa do material: dc.identifier | http://hdl.handle.net/11449/205308 | - |
Fonte: dc.identifier.uri | http://educapes.capes.gov.br/handle/11449/205308 | - |
Descrição: dc.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. | - |
Descrição: dc.description | Ibrv - Institute of Research and Development; Brv Uav Flight Systems Brvant | - |
Descrição: dc.description | Unesp - São Paulo State University; | - |
Descrição: dc.description | Unesp - São Paulo State University; | - |
Idioma: dc.language | en | - |
Relação: dc.relation | IEEE Aerospace Conference Proceedings | - |
???dc.source???: dc.source | Scopus | - |
Título: dc.title | Smart Integrated Management System - Smart Cities, Epidemiological Control Tool Using Drones | - |
Aparece nas coleções: | Repositório Institucional - Unesp |
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