Open AccessIntelligent Systems as Tools for Measuring Residential Energy Consumption
Author(s) -
Danilo Silva dos Santos,
Fabiana Rocha Pinto,
Felipe Silva dos Santos
Publication year - 2019
Language(s) - English
Resource type - Journals
ISSN - 2411-2933
DOI - 10.31686/ijier.vol7.iss11.1873
Subject(s) - voltage , energy consumption , electricity , residence , consumption (sociology) , work (physics) , arduino , the internet , computer science , electrical engineering , mqtt , energy (signal processing) , telecommunications , internet of things , computer security , sociology , engineering , statistics , embedded system , mathematics , mechanical engineering , social science , world wide web , demography
The implementation of intelligent systems in homes for measuring energy consumption are possibilities that owe their viability to the IoT (Internet of Things and investments in R&D). Becoming fundamental for this change in the way of thinking and using electric power in households, buildings and especially in industry 4.0. The present work demonstrates an experiment focused on a residence for the analysis of energy consumption measurement, with the use of a nano arduino plate, current and voltage sensors, internet connection and use of the MQTT protocol making the integration in the Blynk platform. Obtaining as results voltage approximately 224V, electric current close to 3.89A, 356 points of samples for measurement of consumption and 255 points for preparation of graphs. Minimums for voltage and current 207.75V and 0.62A respectively and maximums 233.22V and 25.31A. A standard deviation of 5.54 for voltage and 3.33 for current. Analyses performed by Blynk, from estimates by mathematical modeling, considered by means of tests and it was observed that the behavior of current and voltage signals are close to the realities of energy distributors.