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An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing
We present an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort via participatory sensing in commercial buildings. The system, called a personal comfort and indoor environment measurement (PCIEM) platform, consi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824258/ https://www.ncbi.nlm.nih.gov/pubmed/36616962 http://dx.doi.org/10.3390/s23010364 |
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author | Rosenberger, Joseph Guo, Zhong Coffman, Austin Agdas, Duzgun Barooah, Prabir |
author_facet | Rosenberger, Joseph Guo, Zhong Coffman, Austin Agdas, Duzgun Barooah, Prabir |
author_sort | Rosenberger, Joseph |
collection | PubMed |
description | We present an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort via participatory sensing in commercial buildings. The system, called a personal comfort and indoor environment measurement (PCIEM) platform, consists of several devices placed in office occupants’ work areas, a wireless network, and a remote database to store the data. Each device, called a PCFN (personal comfort feedback node), contains a touchscreen through which the occupant can provide feedback on their perceived comfort on-demand, and several sensors to collect environmental data. The platform is designed to be part of an indoor climate control system that can enable personalized comfort control in real-time. We describe the design, prototyping, and initial deployment of a small number of PCFNs in a commercial building. We also provide lessons learned from these steps. Application of the data collected from the PCFNs for modeling and real-time control will be reported in future work. We use hardware components that are commercial and off-the-shelf, and our software design is based on open-source tools that are freely and publicly available to enable repeatability. |
format | Online Article Text |
id | pubmed-9824258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98242582023-01-08 An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing Rosenberger, Joseph Guo, Zhong Coffman, Austin Agdas, Duzgun Barooah, Prabir Sensors (Basel) Article We present an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort via participatory sensing in commercial buildings. The system, called a personal comfort and indoor environment measurement (PCIEM) platform, consists of several devices placed in office occupants’ work areas, a wireless network, and a remote database to store the data. Each device, called a PCFN (personal comfort feedback node), contains a touchscreen through which the occupant can provide feedback on their perceived comfort on-demand, and several sensors to collect environmental data. The platform is designed to be part of an indoor climate control system that can enable personalized comfort control in real-time. We describe the design, prototyping, and initial deployment of a small number of PCFNs in a commercial building. We also provide lessons learned from these steps. Application of the data collected from the PCFNs for modeling and real-time control will be reported in future work. We use hardware components that are commercial and off-the-shelf, and our software design is based on open-source tools that are freely and publicly available to enable repeatability. MDPI 2022-12-29 /pmc/articles/PMC9824258/ /pubmed/36616962 http://dx.doi.org/10.3390/s23010364 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rosenberger, Joseph Guo, Zhong Coffman, Austin Agdas, Duzgun Barooah, Prabir An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing |
title | An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing |
title_full | An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing |
title_fullStr | An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing |
title_full_unstemmed | An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing |
title_short | An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing |
title_sort | open-source platform for indoor environment monitoring with participatory comfort sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824258/ https://www.ncbi.nlm.nih.gov/pubmed/36616962 http://dx.doi.org/10.3390/s23010364 |
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