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
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/189271
Ver los metadatos del registro completo
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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 |
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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 |
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Ciencias Informáticas HLW8012. ESP8266 Energy consumption intelligent systems |
| topic |
Ciencias Informáticas HLW8012. ESP8266 Energy consumption intelligent systems |
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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. |
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2025 |
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2025 |
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