Model and Simulation of Automaton Control Using Microcontroller and LDR to Monitor the City's Public Lighting System

The present work aims to present a Fuzzy Logic application to evaluate information from methods of Pattern Recognition and Classification applied to Power Quality measurements from smart metering center. Fuzzy Logic is responsible for managing the summary of results presented by several methods of Recognition and Classification Patterns and thus can synthesize and integrate the performances of techniques, improving system performance. This way, a system of Fuzzy Logic can infer a classification leveraging the individual strengths of each technique to meet the specific deficiencies in some misclassification obtained by a given technique is presented. For validation, the architecture of the system was applied to a problem of power quality of distribution transformers