Implementation of a smart electricity meter

Autores
Manzin, Matías Federico; Navarria, Leonardo José; Medina, Santiago; Libutti, Leandro Ariel; Montezanti, Diego Miguel
Año de publicación
2025
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In recent years, the economic and ecological impact of energy consumption in public and private institutions has increased, making it necessary to have computer and electronic systems that allow monitoring energy expenditure in the different areas of an institution. Currently, smart buildings have automated systems that include sensor nodes that allow the monitoring and control of environmental parameters, facilitating the goal of achieving energy-efficient, comfortable, and cost-effective environments. In this context, this work presents the design and development of a smart energy consumption meter that can be integrated into any control and monitoring system without the need for significant changes, thanks to its modular implementation. The hardware architecture is presented, focusing on the main functionality of each module and the interconnection and communication between them. In addition, the calibration tests performed to adjust the measurement parameters and obtain acceptable relative measurement errors are described. Tests performed with the measuring node on a heterogeneous architecture computer, comprising CPU and GPU cores and running a computationally intensive algorithm, show that the accumulated power decreases as the amount of resources used increases, validating the measuring capability of the developed system.
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
HLW8012.
ESP8266
Energy consumption
intelligent systems
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/189271

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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Implementation of a smart electricity meterManzin, Matías FedericoNavarria, Leonardo JoséMedina, SantiagoLibutti, Leandro ArielMontezanti, Diego MiguelCiencias InformáticasHLW8012.ESP8266Energy consumptionintelligent systemsIn recent years, the economic and ecological impact of energy consumption in public and private institutions has increased, making it necessary to have computer and electronic systems that allow monitoring energy expenditure in the different areas of an institution. Currently, smart buildings have automated systems that include sensor nodes that allow the monitoring and control of environmental parameters, facilitating the goal of achieving energy-efficient, comfortable, and cost-effective environments. In this context, this work presents the design and development of a smart energy consumption meter that can be integrated into any control and monitoring system without the need for significant changes, thanks to its modular implementation. The hardware architecture is presented, focusing on the main functionality of each module and the interconnection and communication between them. In addition, the calibration tests performed to adjust the measurement parameters and obtain acceptable relative measurement errors are described. Tests performed with the measuring node on a heterogeneous architecture computer, comprising CPU and GPU cores and running a computationally intensive algorithm, show that the accumulated power decreases as the amount of resources used increases, validating the measuring capability of the developed system.Instituto de Investigación en Informática2025info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/189271enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-01-07T13:35:49Zoai:sedici.unlp.edu.ar:10915/189271Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-01-07 13:35:49.409SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Implementation of a smart electricity meter
title Implementation of a smart electricity meter
spellingShingle Implementation of a smart electricity meter
Manzin, Matías Federico
Ciencias Informáticas
HLW8012.
ESP8266
Energy consumption
intelligent systems
title_short Implementation of a smart electricity meter
title_full Implementation of a smart electricity meter
title_fullStr Implementation of a smart electricity meter
title_full_unstemmed Implementation of a smart electricity meter
title_sort Implementation of a smart electricity meter
dc.creator.none.fl_str_mv Manzin, Matías Federico
Navarria, Leonardo José
Medina, Santiago
Libutti, Leandro Ariel
Montezanti, Diego Miguel
author Manzin, Matías Federico
author_facet Manzin, Matías Federico
Navarria, Leonardo José
Medina, Santiago
Libutti, Leandro Ariel
Montezanti, Diego Miguel
author_role author
author2 Navarria, Leonardo José
Medina, Santiago
Libutti, Leandro Ariel
Montezanti, Diego Miguel
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
HLW8012.
ESP8266
Energy consumption
intelligent systems
topic Ciencias Informáticas
HLW8012.
ESP8266
Energy consumption
intelligent systems
dc.description.none.fl_txt_mv In recent years, the economic and ecological impact of energy consumption in public and private institutions has increased, making it necessary to have computer and electronic systems that allow monitoring energy expenditure in the different areas of an institution. Currently, smart buildings have automated systems that include sensor nodes that allow the monitoring and control of environmental parameters, facilitating the goal of achieving energy-efficient, comfortable, and cost-effective environments. In this context, this work presents the design and development of a smart energy consumption meter that can be integrated into any control and monitoring system without the need for significant changes, thanks to its modular implementation. The hardware architecture is presented, focusing on the main functionality of each module and the interconnection and communication between them. In addition, the calibration tests performed to adjust the measurement parameters and obtain acceptable relative measurement errors are described. Tests performed with the measuring node on a heterogeneous architecture computer, comprising CPU and GPU cores and running a computationally intensive algorithm, show that the accumulated power decreases as the amount of resources used increases, validating the measuring capability of the developed system.
Instituto de Investigación en Informática
description In recent years, the economic and ecological impact of energy consumption in public and private institutions has increased, making it necessary to have computer and electronic systems that allow monitoring energy expenditure in the different areas of an institution. Currently, smart buildings have automated systems that include sensor nodes that allow the monitoring and control of environmental parameters, facilitating the goal of achieving energy-efficient, comfortable, and cost-effective environments. In this context, this work presents the design and development of a smart energy consumption meter that can be integrated into any control and monitoring system without the need for significant changes, thanks to its modular implementation. The hardware architecture is presented, focusing on the main functionality of each module and the interconnection and communication between them. In addition, the calibration tests performed to adjust the measurement parameters and obtain acceptable relative measurement errors are described. Tests performed with the measuring node on a heterogeneous architecture computer, comprising CPU and GPU cores and running a computationally intensive algorithm, show that the accumulated power decreases as the amount of resources used increases, validating the measuring capability of the developed system.
publishDate 2025
dc.date.none.fl_str_mv 2025
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info:eu-repo/semantics/publishedVersion
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dc.language.none.fl_str_mv eng
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