Título:	Arquitetura base para soluções de Internet das Coisas : aplicações de telemetria e computação na ponta com uso de Microsoft Azure nos modelos de IaaS, PaaS e SaaS
Autor(es):	Maia, Jorge Andrade Seixas
E-mail do autor:	jm@jorgemaia.com.br
Orientador(es):	Fortaleza, Eugênio Liborio Feitosa
Assunto:	Internet das Coisas (IoT) Telemetria Arquitetura de software Computação em nuvem
Data de publicação:	25-Abr-2021
Data de defesa:	13-Nov-2020
Referência:	MAIA, Jorge Andrade Seixas. Arquitetura base para soluções de Internet das Coisas: aplicações de telemetria e computação na ponta com uso de Microsoft Azure nos modelos de IaaS, PaaS e SaaS. 2020. xi, 136 f., il. Dissertação (Mestrado em Sistemas Mecatrônicos)—Universidade de Brasília, Brasília, 2020.
Abstract:	The Internet of Things, although a relatively new term and with an often diffuse understanding, appears in the technology market as an aggregator of new solutions, facing the old machine to machine communications and has become a key part in adding intelligence to scenarios with a need for productivity, information reliability and process improvement. Basic input for Industry 4.0, IoT is synonymous with cost reduction in service measurement applied to several segments, among which we can highlight agriculture, measurement and control of utilities, factories, logistics and facilities management, among others. Scenarios that already make use of connectivity technologies, regularly have silos of information connected to a concentrator, but that do not communicate with each other, even being in the same physical environment. For these cases the use of IoT can do more than interconnect these islands of information, enabling more precise decision making, with less time and a higher level of confidence, with or without human interaction. The union of sales systems with production systems, is one of the examples that guarantees less time in the configuration of customized production lines and a consequent increase in competitiveness. Infrastructure management is another good case of use, in this we have application of Internet of Things generating more intelligent environments, ensuring savings in the use of resources and based on decision-making algorithms linked to the building, as well as the possibility of modeling a digital twin for management and remote monitoring in near real time. This work is positioned to support the development of Internet of Things solutions and their challenges in two common and widely complex scenarios that are respectively telemetry, where the focus is on sending and receiving data messages and commands and the other is necessary the use of computing at the tip for use of artificial intelligence or processing in near real time. These two scenarios have several variations in the solution layers, telecommunication technologies, application protocols, message concentrators, artificial intelligence, data storage, data analysis and interoperability. This dissertation aims to define a reference architecture for projects that make use of telemetry and/or edge computing, also defining the main layers, communication protocols and technologies to be used in projects. Based on a review of the exploratory literature in order to ensure the state of the art in architectures and protocols, followed by simulations in Microsoft cloud environment, this work will make use of applications in the verticals of infrastructure management and engineering, control of fleets of garbage trucks and integration of IoT with industrial plants. The layers that make up a IoT solution will be presented, passing through the device, its communication link, protocols, communication security and message intake allowing for later data analysis. Possible and validated architectures through the use of physical and simulated devices compose the result of this work, which will be used from cloud simulation resources in order to also apply a reference architecture for telemetry and computational projects at the end.
Unidade Acadêmica:	Faculdade de Tecnologia (FT) Departamento de Engenharia Mecânica (FT ENM)
Informações adicionais:	Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Mecânica, 2020.
Programa de pós-graduação:	Programa de Pós-Graduação em Sistemas Mecatrônicos
Licença:	A concessão da licença deste item refere-se ao termo de autorização impresso assinado pelo autor com as seguintes condições: Na qualidade de titular dos direitos de autor da publicação, autorizo a Universidade de Brasília e o IBICT a disponibilizar por meio dos sites www.bce.unb.br, www.ibict.br, http://hercules.vtls.com/cgi-bin/ndltd/chameleon?lng=pt&skin=ndltd sem ressarcimento dos direitos autorais, de acordo com a Lei nº 9610/98, o texto integral da obra disponibilizada, conforme permissões assinaladas, para fins de leitura, impressão e/ou download, a título de divulgação da produção científica brasileira, a partir desta data.
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