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

Abstract

The 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.