IoT-Based Electricity Bill for Domestic Applications
Autor: | Emilio Barocio Espejo, Juan Miguel Gonzalez Lopez, Antonio Concha Sánchez, Luis A Contreras Aguilar, Efraín Villalvazo Laureano, R.J. Betancourt, Sergio Sandoval Pérez |
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Rok vydání: | 2020 |
Předmět: |
Computer science
020209 energy Interface (computing) Internet of Things 02 engineering and technology lcsh:Chemical technology computer.software_genre Biochemistry Article Analytical Chemistry real-time electricity bill Electricity meter smart grids 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Consumption (economics) Measure (data warehouse) Database business.industry home metering system 020206 networking & telecommunications Energy consumption Atomic and Molecular Physics and Optics Smart grid Work (electrical) Electricity business computer |
Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 6178, p 6178 (2020) Sensors Volume 20 Issue 21 |
ISSN: | 1424-8220 |
DOI: | 10.3390/s20216178 |
Popis: | 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: | OpenAIRE |
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