Departamento de Ensino Superior
URI permanente desta comunidadehttps://ri.ifam.edu.br/handle/4321/956
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9 resultados
Resultados da Pesquisa
Trabalho de Conclusão de Curso Sistema de inspeção de bateria de lítio em placas eletrônicas: uma proposta a partir da integração de CLP e aprendizado de máquina(2025-09-16) Dutra, João Victor Pontes; Ribeiro, João Bernardo Aranha; http://lattes.cnpq.br/9027441032059817; Gadelha, Vitor Fernando de Souza; http://lattes.cnpq.br/4283627740352016; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467The objective of this work is to develop a lithium battery inspection system based on the integration of Programmable Logic Controllers and Machine Learning, identifying advantages, disadvantages, and challenges associated with meeting the needs of industrial facilities. The project seeks to use low-cost materials and technologies, ensuring its economic viability and ease of construction. The innovation of the work lies in the adaptation of organizational needs, using Industry 4.0 tools, providing a practical, efficient, and assertive solution. Thus, the proposed system aims to address these aspects, offering an accessible solution for detecting assembly, optimization, and quality failures. The system inspection is based on a supervised learning that detects the battery via webcam and then compares the captured image with the model created from the OK and NG datasets. Therefore, the difference between the two results in an approved or rejected result for the part. The developed system performed well in its inspections during testing and validation. In addition, the work designated the observation of this integration in other segments, instigating opportunities and improvements for effective advancement. Therefore, the study concluded that, despite the significant challenges to implementing AM in PLCs, the integration shows promise for optimizing operational efficiency, flexibility, data transmission, cost reduction, and decision-making support in companies with limited resources and a need for modernization.Trabalho de Conclusão de Curso Análise da implantação da rede de telefonia móvel celular 5G na Cidade de Manaus-AM: estudo de caso /(2025-04-29) Oliveira, Rômolo de Sá; Fontinelle, Carlos Gomes; http://lattes.cnpq.br/8988006492142629; Santos, Alyson de Jesus dos; http://lattes.cnpq.br/5998752909180697; Martiniano, Alexandre Lopes; http://lattes.cnpq.br/2232239320901259The evolution of telecommunications technologies has brought significant transformations to contemporary society, particularly with the advent of fifth-generation mobile networks, known as 5G. This technology promises higher connection speeds, lower latency, and the ability to connect a significantly larger number of devices simultaneously, enabling advancements in solutions such as the Internet of Things (IoT), smart cities, industrial automation, and real-time connectivity. However, the deployment of 5G in regions with specific geographic and socioeconomic characteristics, such as the city of Manaus-AM, presents technical, logistical, and social challenges that warrant scientific investigation. This study aims to analyze the main factors influencing the implementation of the 5G mobile network in Manaus, considering its current technological infrastructure, the logistical obstacles posed by the Amazon region, the socioeconomic impact of the technology, and the prospects for the development of Industry 4.0 within the Manaus Industrial Hub (PIM). The research adopts a case study methodology with a qualitative and quantitative approach, based on bibliographic review, document analysis, and secondary data collection from sources such as ANATEL, IBGE, ITU, and telecommunications operator reports. The results indicate that, despite recent progress in terms of coverage and spectrum availability, there are still limitations related to fiber optic infrastructure, antenna density, and unequal access in peripheral and riverside areas. Furthermore, the integration of 5G into the local industrial sector still requires substantial investments in modernization and technical training. The study concludes that achieving the full benefits of 5G in Manaus requires coordinated efforts between public policies, operator strategies, and digital inclusion initiatives. This research contributes to the understanding of regional challenges in the deployment of 5G in Brazil and provides insights for more equitable and sustainable technological development strategies.Trabalho de Conclusão de Curso Aplicação da tecnologia do gêmeo digital(2025-11-09) Paiva, Gabriel da Silva; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467; Lima, Jonatas Micael Vieira de; http://lattes.cnpq.br/4866950717399057Digital Twin technology emerges as a central element in Industry 4.0, integrating physical and virtual systems for real-time monitoring, simulation, and optimization. This study explores its practical application in a test bench with an LED lamp, using microcontrollers (Arduino Nano), sensors, and 3D modeling in Unity to create a synchronized digital replica. A mathematical state-space model enabled the prediction of variables such as current, temperature, and degradation with minimal errors (1.67% to 3.18%), while bidirectional communication between hardware and software demonstrated acceptable latency (187ms) and high precision (98.2%). Beyond industry, Digital Twins show potential in construction, healthcare, and smart cities, promoting operational efficiency and predictive maintenance. However, challenges such as high costs, technical complexity, and data security risks persist. The study validates the technology’s feasibility, highlighting a 23% reduction in energy consumption and a 15% increase in equipment lifespan, reinforcing its role as a catalyst for digital transformation. The integration of tools like AI is expected to expand future applications, positioning Digital Twins as strategic pillars for innovation and productivityTrabalho de Conclusão de Curso Redes de sensores sem fio (RSSF) na Indústria 4.0(2024-12-11) Francisco, Douglas de Souza; Cordeiro, Celso Souza; 243.059.442-00; http://lattes.cnpq.br/4969144304480235; Lima, Jonatas Micael Vieira de; http://lattes.cnpq.br/4866950717399057; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467Wireless Sensor Networks or (WSN) are of great importance in Industry 4.0, the fourth industrial revolution that involves digitalization and automation of production processes. WSN are systems composed of wireless sensors that are distributed on a large scale within an environment, such as a factory, and communicate with each other to collect and transmit information in real time. The WSN allow obtaining data on various aspects of industrial operations, such as temperature, humidity, pressure, vibration, among others. This data is essential for monitoring equipment performance, identifying possible failures, optimizing the use of resources and carrying out predictive maintenance. Therefore, WSN facilitate the implementation of intelligent control systems, in which sensors collect data and send them to processing and analysis systems. This allows for faster and more accurate decision-making, increasing efficiency and industrial productivity. In the context of Industry 4.0, WSN have also been used in applications such as intelligent logistics, supply chain monitoring, quality control, product tracking, among many others. These networks contribute to the creation of more flexible, adaptable and connected production environments, driving digital transformation in industries. However, the implementation of WSN in Industry 4.0 also presents major challenges, such as data security, the interaction between different devices and the optimization of energy consumption. Despite this, WSN have been increasingly adopted by industries in search of improvements in production processes and competitiveness in the market.Trabalho de Conclusão de Curso Telemetria de processos industriais: uma proposta de sistema de monitoramento de água em linha de produção usando IoT(2024-12-18) Silva, Heverton Souza da; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Cordeiro, Celso Souza; http://lattes.cnpq.br/4969144304480235; Lima, Jonatas Micael Vieira de; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467Telemetry and the Internet of Things (IoT) have revolutionized industrial processes by enabling real-time data collection and analysis to optimize water resource management in production lines. This study proposes an automated system for water monitoring, utilizing IoT devices and low-cost sensors capable of measuring variables such as pressure, flow rate, and water quality. The methodology includes a literature review, system architecture definition, hardware and software development, feasibility evaluation, and experimental validation in a real-world environment. The system aims to integrate sensors with digital platforms for data transmission and analysis, promoting operational efficiency, waste reduction, and sustainability, in alignment with Sustainable Development Goal (SDG) 6. The solution stands out for its economic accessibility and positive environmental impact, offering a robust and innovative alternative for industrial water monitoring.Trabalho de Conclusão de Curso Automatização do processo de paletização de evaporadores de condicionadores de ar a partir dos pilares da indústria 4.0: estudo de um modelo(2024-07-29) Gomes, Alan Junior Lopes; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Castro, Cristovãqo Américo Ferreira de; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/0187470129136467The general objective of this study is to describe the process of automating the palletizing process of evaporators on a production line, using the technologies from the pillars of Industry 4.0. The research methodology respects the characteristics of descriptive research, with a qualitative approach. The results showed that the automation of the evaporator palletizing process, by adopting Industry 4.0 technologies, brought significant improvements in operational efficiency and work safety. A substantial reduction in cycle time and improvement in process accuracy and consistency were observed, which corroborates the hypothesis that the integration of advanced automation and control systems, together with intuitive human-machine interfaces, leads to an increase in productivity.Trabalho de Conclusão de Curso RAMI 4.0 aplicada ao setor industrial: uma revisão bibliográfica sobre a sua aplicabilidade na indústria 4.0(2023-02-16) Brito, Cristiano da silva de; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Abreu, Luiz Henrique Portela de; http://lattes.cnpq.br/4264159301471188; Ribeiro, Ewerton Andrey Godinho; http://lattes.cnpq.br/018747012913646The present study has the general objective of analyzing the benefits and advantages of the RAMI 4.0 architecture in improving the production chain in Industry 4.0. The methodology respects the characteristics of bibliographical research, based on articles from the period 2018 to 2023, in the Scielo databases, Google Scholar, Periodicals CAPES and university websites that present scientific works published on the subject. The results show that with the implementation of RAMI 4.0, greater practicality is provided due to the presence of connectivity in the technologies used; ensures that the company's main objectives are achieved and introduces the company to a new level of organization, in which it is capable of managing its entire value chain along with the product's life cycle. In addition, with the availability of all relevant information in real time, it is possible to integrate all agencies participating in value creation processes, and also create value networks between self-organized companies, dynamic and in real time through the interconnection of people, “things” and systems according to their capacities.Trabalho de Conclusão de Curso A indústria 4.0: um estudo bibliográfico dos TCC´s apresentados ao curso ECAT- IFAM -CMDI no período de 2018 a julho 2022(2022-12-15) Oliveira, Rágison da Costa; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Reis, Ailton Gonçalves; http://lattes.cnpq.br/7119484789256081; Silva, Edson Moura da; Fialho, Edevaldo Albuquerque; http://lattes.cnpq.br/1681351413618686The world is going through countless changes and paradigms, Industry 4.0 is a revolution that will impact both the industrial and the social environment, in the academic environment, academic productions that address this theme have already begun. It brings with it one of the interactions ever seen and is based on some technologies such as: Internet of Things, Additive Manufacturing, Test Beds, Big Data Analytics and Artificial Intelligence. This work seeks to present to the academy how these subjects are being approached by the academics of the Control and Automation Engineering course of IFAM-CMDI in their final works. The results showed that the authors use tools that are pillars of industry 4.0, although some do not address all the aspects that compose it in the course of the works studied.Trabalho de Conclusão de Curso Sistema de detecção de objeto personalizado utilizando inteligência artificial(2020-11-06) Marques, Lucas de Souza; Frota, Vitor Bremgartner da; Frota, Vitor Bremgartner da; Fernandes, Priscila Silva; Netto, José MagalhãesThis work aims to develop an automatic object verification system on a production line. Currently, there is a market for object detection that comprises values above R$ 100 thousand reais for the implementation of the same project. The project is based on being developed on a completely Open Source platform. The proposal consists of creating a low-cost Python language system that solves the problems of instantaneous line stops and field problems related to the lack of the object and make it portable to any computer. Due to the fast time of the line some boxes go unnoticed in the eyes of the operator and with the implemented system it is expected that all boxes are controlled and detect all manuals and take their own actions autonomously without the need for human intervention following the concept of industry 4.0. The developed system had quick responses (about 40 milliseconds) for the evaluation of each image and is already implemented in the factory.