Navegando por Assunto "Internet das coisas"

Agora exibindo 1 - 4 de 4

Acesso aberto (Open Access)
Implantação de uma middleware IoT escalável para aplicações de mobilidade elétrica multimodal.
(Universidade Federal do Pará, 2022-02-25) LOBATO, Elen Priscila de Souza; BEZERRA, Ubiratan Holanda; http://lattes.cnpq.br/6542769654042813; ROSÁRIO, Dênis Lima do; http://lattes.cnpq.br/8273198217435163
This work will present the implementation of the Dojot platform in a scalable and customized way, such as the Internet of Things (IoT) middleware of a Research and Development (R&D) Project of Multimodal Electric Mobility in the Amazon Region. Two environments were implemented with Dojot, being a development environment with Docker Compose, in only one machine, and a production environment in a Kubernetes cluster, with a master machine, two worker machines and a load balancer. To verify the consumption of CPU and memory metrics, in both environments, simulations were performed of several electric mobility devices receiving data simultaneously in Dojot. Thus, it was observed that there was a lower CPU consumption in the development environment, lower memory consumption in the production environment and the environment that best responded to the scalability issue (with the increase in the number of devices receiving data) was production. In conclusion, the implementation of Dojot in the production environment, in a Kubernetes cluster, is more advantageous in terms of scalability
Acesso aberto (Open Access)
MGI:: Módulo de gerenciamento inteligente para otimização Do conforto térmico do usuário em smart home
(Universidade Federal do Pará, 2018-08-31) ALFAIA, Rodrigo Dias; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The incentive to integrate energy efficiency in electrical equipment has increased during last years. A portion of this growth is a result of incentives and the implementation of standards that help in inspection and regulation of minimum specifications for efficiency in electric energy consumption by equipments. In addition, with development of technology, new means of intelligent management are proposed to help optimize energy consumption. This study presents the specification and development of an intelligent module, to be integrated in Smart Consumption Management Architecture (SmartCoM), which involves collection and analysis of meteorological data (temperature and humidity) via the communication interface characteristic of the architecture, from Internet of Things (IoT), for the intelligent management of an air conditioner in order to optimize energy consumption, without losing thermal comfort of resident users. The proposed methodology proved to be efficient in reducing energy consumption compared to the conventional model. Experiments were carried out to estimate the energy consumption of an air conditioner during 2017. The experiments consisted in comparing results of the intelligent management module (MGI) with the conventional model, to show the efficiency of the proposed module, which achieved a general reduction of 24.5% for the night period and 21.1% for the daytime, within the standards of thermal comfort established by national and international
Acesso aberto (Open Access)
Proposta de desenvolvimento de Burn in Inline
(Universidade Federal do Pará, 2021-08-16) NASCIMENTO, Marcelo Maia do; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
Advanced manufacturing promises to positively impact the economy significantly for various branches and industrial segments, such as metallurgy and agribusiness. Therefore, the aim is to develop a new product implemented within the company Manaus Industrial Hub, this new product is an automated system for storage in a controlled temperature environment, testing and monitoring of real-time tests of its products. Thus, this article can be considered exploratory, applied and qualitative in nature, under two aspects, bibliographical research and case study, data collection was through meetings with company professionals, technical visits, researching on the importance of the topic. The results showed that the main stages of development of Burn In Inline were validated, studies of production capacity associated with the developments can generate factory modernization and greater competitiveness among companies in the field.
Acesso aberto (Open Access)
Software para planejamento de redes IoT: uma solução baseada em algoritmo genético, algoritmo de múltiplas tentativas e EPSO
(Universidade Federal do Pará, 2022-07-20) GONÇALVES, Leonardo Nunes; ARAÚJO, Jasmine Priscyla Leite de
The Internet of Things (IoT) allows the ubiquitous monitoring of environments through sensors arranged in a certain area of interest. Such data collection generates unprecedented content of information that is presented to different algorithms that serve to assist in decision-making associated with urban mobility, economy, health, well-being, among others. To ensure the success of this communication chain, defined from the collection of data to the extraction of valuable decisions, it is necessary to implement an end-to-end communication. For this, the IoT makes use of Long Range communication technology (LoRa), which in turn guarantees wireless and cost-free communication between the sensors installed in the endnodes arranged in the area of interest and the data traffic aggregation points installed in the area to be monitored, ie the gateway. Although the solution is practical, there are cost minimization challenges associated with deploying the fewest number of gateways in the area to be covered, as well as the task of planning the IoT network taking into account the optimal positioning of the gateways. Given this context and to respond to the challenges imposed by the planning of IoT networks, this work aims to propose an optimizing software for planning IoT networks based on Genetic Algorithm, Evolutionary Particle Swarm Optimization (EPSO) and Multiple Attempts algorithm, in order to to minimize the number of gateways and determine the geolocation for their installation, thus aiming to guarantee the coverage of all endnodes and their respective sensors arranged in the field.