Modelagem e Desenvolvimento de uma Solução de IoT e Gêmeo Digital para Medição de Consumo de Energia Residencial

Francisco Borges Carreiro; Júlia Ferreira Nascimento; Guilherme Mateus Lopes Sousa

doi:10.20906/CBA2022/3380

Francisco Borges Carreiro Departamento de Eletroeletrônica, Instituto Federal do Maranhão, São Luís-MA
Júlia Ferreira Nascimento Instituto Federal do Maranhão, São Luís-MA
Guilherme Mateus Lopes Sousa Instituto Federal do Maranhão, São Luís-MA

DOI: https://doi.org/10.20906/CBA2022/3380

Keywords: Internet of Things, Digital Twin, Energy Management

Abstract

This work carries out a study that aims to obtain a residential energy consumption management solution based on industry 4.0 concepts and technologies, such as augmented reality and IoT, and the modeling of Digital Twins. This system enables the storage, monitoring and visualization of energy consumption data from an energy meter, having an energy meter device located in a residence in the city of Curitiba-PR. The proposed architecture was divided into three layers: hardware, cloud, and software, resulting from the combination of IoT and Digital Twins architecture modeling. The results are satisfactory, because with the solution obtained it became possible to manage the energy consumption of the residence in question, providing the consumer with the monitoring of their consumption online, enabling decision-making and insights (indications) for actions aiming at efficient consumption in the context of energy efficiency.