Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
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Resultados da Pesquisa
Item Análise preliminar dos requisitos técnicos dos titulares de autorizações para reparo e manutenção de instrumentos de medição regulados: Aplicação de sistemas de inferência fuzzy(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-07-24) MOREIRA, Jaildo Jackson do Amaral; BRITO JUNIOR, Jorge de Almeida; http://lattes.cnpq.br/3423176906589920Accurate measurement is essential in sectors such as industry, healthcare, and the environment. In Brazil, the National Institute of Metrology, Quality and Technology (INMETRO) regulates and inspects measuring instruments, requiring authorization holders for repair and maintenance to meet stringent technical requirements. This study applied fuzzy inference systems for the preliminary analysis of these requirements, developing a model capable of efficiently and accurately identifying and evaluating compliance. The method involved surveying technical requirements, defining linguistic variables, developing and testing the fuzzy system, and analyzing results. The system was implemented and tested in a controlled environment with different datasets, demonstrating high accuracy in identifying compliance in over 90% of cases. Additionally, it provided valuable insights into authorization holders' strengths and weaknesses, highlighting areas that may need improvement for continued compliance. The application of fuzzy inference systems proved to be a promising approach to improving compliance assessment processes, ensuring the quality and accuracy of measurements in Brazil, and renewing the perception of analyses in ordinances already implemented by INMETRO. This approach can also significantly contribute to decision-making by regulatory agencies, such as IPEM/AM, providing an additional tool to ensure compliance and reliability of measuring instruments used nationwide.Item Implementação do sistema de inferência fuzzy para suporte à avaliação do esfigmomanômetro visando atender às atividades de fiscalização fluvial na área da metrologia legal, cientifica e conformidades(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-04-26) BRITO, Márcio André Oliveira; LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique Reis; ; http://lattes.cnpq.br/7279183940171317The Amazon region has characteristics that point to logistical difficulties in meeting the demands whose inspection goal is to contribute to the economic development of the craft industry and commerce in the interior of the state, making regional products competitive, by providing technical metrological advice on procedures for verifying weighing and measuring instruments, using river vessels equipped with laboratories for testing pre-measured products, service rooms, IT and training. The Management Model for Basic River Units (UBF), aimed at carrying out inspection activities in the area of legal and scientific metrology and conformity assessment using fuzzy logic for decision-making, proposes an innovative management system for river units, focused on IPEM-AM's inspection activities using INMETRO's methodology. The approach uses fuzzy logic to improve decision-making, making it more accurate and efficient. The aim of the research is to evaluate a pressure device (sphygmomanometer) in order to fulfil inspection activities in the area of legal and scientific metrology and compliance, using fuzzy inference to support decision-making. The methodology used aims to improve the efficiency and effectiveness of inspection activities in these areas, reducing errors and optimising resources. Fuzzy logic is a suitable tool for dealing with the uncertainty and imprecision present in this context, allowing the system to make decisions that are closer to reality in accordance with the legislation. The results of the proposed model can be applied to different types of river units, helping to improve inspection processes and ensuring compliance with current rules and regulations. In addition, the use of fuzzy logic can provide more intelligent management that can be adapted to the changing conditions of the river environment according to the region's logistical purposes.