BRANDÃO, I. A. P.; BRANDÃO, IGOR ANTÔNIO DE PAIVA.; http://lattes.cnpq.br/0917850140413106; BRANDÃO, Igor Antônio de Paiva.
Resumo:
Managing water resources efficiently and sustainably is a challenge. In this context, the Internet
of Things and cloud computing emerge as low-cost and highly scalable technologies,
developing smart metering of water consumption and the possibility of remote and real-time
monitoring. The objective of this work was to develop a low-cost IoT smart water meter for
measuring water consumption in micromeasurement supply networks, using cloud computing
to store and process data, in addition to detecting and alerting possible leaks. This developed
meter was calibrated and validated in controlled and uncontrolled scenarios. The data obtained
with the association of the IoT Hydrometer and cloud computing served as a basis for the study
of the consumption pattern with the automation of the micrometer. To receive, store and process
the data, the IoT platform ThingSpeak was used. This platform receives data from the smart
water meter every 2 minutes and has algorithms that alert about device operation and possible
leaks. In a controlled environment, the IoT smart water meter results showed a maximum error
of 0.89% for flow rates between 1 to 20 L/min and above 50 L/min. For field validation, the
values measured in the smart meter were compared with the readings of a conventional
hydrometer installed in series, but with a level difference of 1.80 m between them. In two
months of comparison, there was a difference of 8.9% between the water meters, possibly
caused by the variation in pressure between them. The final cost of the IoT Hydrometer
developed in this research was R$ 92.70 and the equipment was calibrated for flow rates
between 1.32 and 55 L/min. Finally, with this system, it was possible to analyze the building
consumption pattern studied, identifying normal periods of consumption, lack of water and a
leak whose calculated waste was more than 7 thousand liters of water. It is concluded that the
system presented a positive response to the proposed objective and promising results.