IoT-Based Electricity Bill for Domestic Applications.

Autor: Jiménez Betancourt RO; School of Electromechanical Engineering, Universidad de Colima, Manzanillo 28860, Mexico., González López JM; School of Electromechanical Engineering, Universidad de Colima, Manzanillo 28860, Mexico., Barocio Espejo E; Graduate Program in Electrical Engineering, Universidad de Guadalajara, Guadalajara 44430, Mexico., Concha Sánchez A; Faculty of Mechanical and Electrical Engineering, Universidad de Colima, Coquimatlán 28400, Mexico., Villalvazo Laureano E; School of Electromechanical Engineering, Universidad de Colima, Manzanillo 28860, Mexico., Sandoval Pérez S; Tecnológico Nacional de México/Instituto Tecnológico de CD. Guzmán, Ciudad Guzmán 49100, Mexico., Contreras Aguilar L; Faculty of Mechanical and Electrical Engineering, Universidad de Colima, Coquimatlán 28400, Mexico.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2020 Oct 29; Vol. 20 (21). Date of Electronic Publication: 2020 Oct 29.
DOI: 10.3390/s20216178
Abstrakt: This work proposes a real-time electricity bill for quantifying the energy used in domestic facilities in Mexico. This bill is a low-cost tool that takes advantage of the IoT technology for generating an easy reading real-time bill allowing the customers to constantly review and administrate their energy consumption. Using low-cost sensors and the electronic board Particle ® Photon, an energy meter is proposed. The presented prototype is extremely compact and satisfies safety measures to be used by anyone in a domestic installation. The measurement data is displayed and processed in real-time, and an appropriate algorithm determines the accumulated kWh. The energy consumed is displayed using an Html interface of easy interpretation for the customers, given recommendations about their consumption habits and some alarms in case of abnormal or high consumption. As a reinforcement measure for avoiding large consumption bills, the system is programmed to send messages to the user, remembering if the estimated consumption is large.
Databáze: MEDLINE
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