Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office

Since the success of developing more energy efficient buildings has a surgical dependence on the occupants' behavior and systems usage, the necessity of accounting for their correct behavior in the simulation of the early-stage buildings' design and energy consumption evaluation, is increasing rapid...

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Main Author: Chen Austin, Miguel (author)
Format: article
Language:Spanish
Published: 2020
Online Access:https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2838
https://ridda2.utp.ac.pa/handle/123456789/11819
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author Chen Austin, Miguel
author_browse Chen Austin, Miguel
author_facet Chen Austin, Miguel
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.creator.none.fl_str_mv Chen Austin, Miguel
dc.date.none.fl_str_mv 2020-07-31
2021-04-18T13:24:27Z
2021-04-18T15:16:56Z
2021-04-18T13:24:27Z
2021-04-18T15:16:56Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2838
10.33412/idt.v16.2.2838
https://ridda2.utp.ac.pa/handle/123456789/11819
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Universidad Tecnológica de Panamá
dc.relation.none.fl_str_mv https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2838/3511
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv 2219-6714
1680-8894
I+D Tecnológico; Vol. 16 Núm. 2 (2020): Revista de I+D Tecnológico
reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.title.none.fl_str_mv Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
Evaluación de la técnica de fusión de sensores para la detección de ocupación en una oficina universitaria
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description Since the success of developing more energy efficient buildings has a surgical dependence on the occupants' behavior and systems usage, the necessity of accounting for their correct behavior in the simulation of the early-stage buildings' design and energy consumption evaluation, is increasing rapidly. To board this necessity, a technique called sensor-fusion is being widely implemented in the building domain, to first develop accurate descriptive models for occupancy profiles, and ultimately, to be able to predict typical profiles. In this context, an office is instrumented to monitor the indoor air quality, the power consumption, and the use of the window, and air conditioning unit. The real occupancy state was monitored manually. The data analysis allowed to highlight the most relevant parameters associated with the occupancy state, based on the Spearman's correlation coefficient. The use of histograms allowed to identify an optimal sensor combination for detecting the occupancy state of the office room. The identified optimal combination groups the CO2, power, and window state sensors, which detected the occupancy with 91.5% of accuracy.
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instacron_str U Tecnológica de Panamá
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publisher.none.fl_str_mv Universidad Tecnológica de Panamá
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
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spelling Assessment of the Sensor-fusion Technique for Occupancy Detection in a University OfficeEvaluación de la técnica de fusión de sensores para la detección de ocupación en una oficina universitariaChen Austin, MiguelSince the success of developing more energy efficient buildings has a surgical dependence on the occupants' behavior and systems usage, the necessity of accounting for their correct behavior in the simulation of the early-stage buildings' design and energy consumption evaluation, is increasing rapidly. To board this necessity, a technique called sensor-fusion is being widely implemented in the building domain, to first develop accurate descriptive models for occupancy profiles, and ultimately, to be able to predict typical profiles. In this context, an office is instrumented to monitor the indoor air quality, the power consumption, and the use of the window, and air conditioning unit. The real occupancy state was monitored manually. The data analysis allowed to highlight the most relevant parameters associated with the occupancy state, based on the Spearman's correlation coefficient. The use of histograms allowed to identify an optimal sensor combination for detecting the occupancy state of the office room. The identified optimal combination groups the CO2, power, and window state sensors, which detected the occupancy with 91.5% of accuracy.Dado que el éxito de desarrollar edificios con mayor eficiencia energética tiene una dependencia quirúrgica del comportamiento de los ocupantes y el uso de los sistemas, la necesidad de tener en cuenta su comportamiento correcto en la simulación del diseño de los edificios en etapa inicial y la evaluación del consumo de energía, aumenta rápidamente. Para abordar esta necesidad, se está implementando ampliamente una técnica llamada fusión de sensores en el dominio del edificio, para desarrollar primero modelos descriptivos precisos para los perfiles de ocupación y, en última instancia, para poder predecir los perfiles típicos. En este contexto, una oficina está instrumentada para monitorear la calidad del aire interior, el consumo de energía y el uso de la ventana y la unidad de aire acondicionado. El estado de ocupación real fue monitoreado manualmente. El análisis de datos permitió resaltar los parámetros más relevantes asociados con el estado de ocupación, basado en el coeficiente de correlación de Spearman. El uso de histogramas permitió identificar una combinación óptima de sensores para detectar el estado de ocupación de la sala de oficina. La combinación óptima identificada agrupa los sensores de CO2, energía y estado de la ventana, que detectaron la ocupación con un 91.5% de precisión.Universidad Tecnológica de Panamá2020-07-312021-04-18T13:24:27Z2021-04-18T15:16:56Z2021-04-18T13:24:27Z2021-04-18T15:16:56Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/283810.33412/idt.v16.2.2838https://ridda2.utp.ac.pa/handle/123456789/118192219-67141680-8894I+D Tecnológico; Vol. 16 Núm. 2 (2020): Revista de I+D Tecnológicoreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáspahttps://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2838/3511http://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ridda2.utp.ac.pa:123456789/118192021-04-18T15:16:56Z
spellingShingle Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
Chen Austin, Miguel
status_str publishedVersion
title Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
title_full Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
title_fullStr Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
title_full_unstemmed Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
title_short Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
title_sort Assessment of the Sensor-fusion Technique for Occupancy Detection in a University Office
url https://revistas.utp.ac.pa/index.php/id-tecnologico/article/view/2838
https://ridda2.utp.ac.pa/handle/123456789/11819