Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality
With an increasing focus on sustainability, human health, and productivity, there is a growing demand for efficient methods to monitor and manage indoor environmental conditions. However, existing monitoring platforms often face challenges related to high costs and limited scalability. This study pr...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-07-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-annals.copernicus.org/articles/X-G-2025/1053/2025/isprs-annals-X-G-2025-1053-2025.pdf |
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| author | Z. Zheng J. D. Castaño Molina E. T. Mengiste S. A. Prieto B. García de Soto |
| author_facet | Z. Zheng J. D. Castaño Molina E. T. Mengiste S. A. Prieto B. García de Soto |
| author_sort | Z. Zheng |
| collection | DOAJ |
| description | With an increasing focus on sustainability, human health, and productivity, there is a growing demand for efficient methods to monitor and manage indoor environmental conditions. However, existing monitoring platforms often face challenges related to high costs and limited scalability. This study presents a practical approach to developing a Digital Twin specifically designed for assessing indoor environmental quality (IEQ). A university campus office space served as the proof of concept, illustrating the implementation of the proposed Digital Twin workflow. The platform demonstrated stability with less than 3% data loss. The IEQ dashboard, along with thermal comfort visualization for various clothing types in the 3D environment, highlights the platform’s effectiveness in monitoring IEQ and its potential to enhance indoor experiences. The proposed Digital Twin framework contributes to the growing body of knowledge by offering a scalable and cost-effective solution for indoor environmental monitoring. This study seeks to advance understanding of indoor environments and support data-driven decision-making to drive improvements. |
| format | Article |
| id | doaj-art-bb0f68f4f1904178a6d0388792b363eb |
| institution | Kabale University |
| issn | 2194-9042 2194-9050 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-bb0f68f4f1904178a6d0388792b363eb2025-08-20T03:27:22ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502025-07-01X-G-20251053106010.5194/isprs-annals-X-G-2025-1053-2025Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental QualityZ. Zheng0J. D. Castaño Molina1E. T. Mengiste2S. A. Prieto3B. García de Soto4S.M.A.R.T. Construction Research Group, Division of Engineering, New York University Abu Dhabi (NYUAD), United Arab EmiratesS.M.A.R.T. Construction Research Group, Division of Engineering, New York University Abu Dhabi (NYUAD), United Arab EmiratesS.M.A.R.T. Construction Research Group, Division of Engineering, New York University Abu Dhabi (NYUAD), United Arab EmiratesS.M.A.R.T. Construction Research Group, Division of Engineering, New York University Abu Dhabi (NYUAD), United Arab EmiratesS.M.A.R.T. Construction Research Group, Division of Engineering, New York University Abu Dhabi (NYUAD), United Arab EmiratesWith an increasing focus on sustainability, human health, and productivity, there is a growing demand for efficient methods to monitor and manage indoor environmental conditions. However, existing monitoring platforms often face challenges related to high costs and limited scalability. This study presents a practical approach to developing a Digital Twin specifically designed for assessing indoor environmental quality (IEQ). A university campus office space served as the proof of concept, illustrating the implementation of the proposed Digital Twin workflow. The platform demonstrated stability with less than 3% data loss. The IEQ dashboard, along with thermal comfort visualization for various clothing types in the 3D environment, highlights the platform’s effectiveness in monitoring IEQ and its potential to enhance indoor experiences. The proposed Digital Twin framework contributes to the growing body of knowledge by offering a scalable and cost-effective solution for indoor environmental monitoring. This study seeks to advance understanding of indoor environments and support data-driven decision-making to drive improvements.https://isprs-annals.copernicus.org/articles/X-G-2025/1053/2025/isprs-annals-X-G-2025-1053-2025.pdf |
| spellingShingle | Z. Zheng J. D. Castaño Molina E. T. Mengiste S. A. Prieto B. García de Soto Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality |
| title_full | Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality |
| title_fullStr | Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality |
| title_full_unstemmed | Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality |
| title_short | Digital Twins for Healthier Spaces: A Scalable Framework for Monitoring Indoor Environmental Quality |
| title_sort | digital twins for healthier spaces a scalable framework for monitoring indoor environmental quality |
| url | https://isprs-annals.copernicus.org/articles/X-G-2025/1053/2025/isprs-annals-X-G-2025-1053-2025.pdf |
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