Proposing 3D Thermal Technology for Heritage Building Energy Monitoring
The energy monitoring of heritage buildings has, to date, been governed by methodologies and standards that have been defined in terms of sensors that record scalar magnitudes and that are placed in specific positions in the scene, thus recording only some of the values sampled in that space. In thi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/8/1537 |
| _version_ | 1797537506233679872 |
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| author | Antonio Adán Víctor Pérez José-Luis Vivancos Carolina Aparicio-Fernández Samuel A. Prieto |
| author_facet | Antonio Adán Víctor Pérez José-Luis Vivancos Carolina Aparicio-Fernández Samuel A. Prieto |
| author_sort | Antonio Adán |
| collection | DOAJ |
| description | The energy monitoring of heritage buildings has, to date, been governed by methodologies and standards that have been defined in terms of sensors that record scalar magnitudes and that are placed in specific positions in the scene, thus recording only some of the values sampled in that space. In this paper, however, we present an alternative to the aforementioned technologies in the form of new sensors based on 3D computer vision that are able to record dense thermal information in a three-dimensional space. These thermal computer vision-based technologies (3D-TCV) entail a revision and updating of the current building energy monitoring methodologies. This paper provides a detailed definition of the most significant aspects of this new extended methodology and presents a case study showing the potential of 3D-TCV techniques and how they may complement current techniques. The results obtained lead us to believe that 3D computer vision can provide the field of building monitoring with a decisive boost, particularly in the case of heritage buildings. |
| first_indexed | 2024-03-10T12:17:06Z |
| format | Article |
| id | doaj.art-2e2dd461c1604ad6a99dc5ee7564c2d3 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T12:17:06Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-2e2dd461c1604ad6a99dc5ee7564c2d32023-11-21T15:46:19ZengMDPI AGRemote Sensing2072-42922021-04-01138153710.3390/rs13081537Proposing 3D Thermal Technology for Heritage Building Energy MonitoringAntonio Adán0Víctor Pérez1José-Luis Vivancos2Carolina Aparicio-Fernández3Samuel A. Prieto43D Visual Computing and Robotics Lab, Universidad de Castilla-La Mancha, 13071 Ciudad Real, SpainModelización y Análisis Energético y Estructural en Edificación y Obra Civil Group, Universidad de Castilla-La Mancha, 16002 Cuenca, SpainProject Management, Innovation and Sustainability Research Center (PRINS), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainCentro de Investigación de Tecnología de la Edificación, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainS.M.A.R.T. Construction Research Group, Division of Engineering, New York University Abu Dhabi NYUAD, Abu Dhabi 129188, United Arab EmiratesThe energy monitoring of heritage buildings has, to date, been governed by methodologies and standards that have been defined in terms of sensors that record scalar magnitudes and that are placed in specific positions in the scene, thus recording only some of the values sampled in that space. In this paper, however, we present an alternative to the aforementioned technologies in the form of new sensors based on 3D computer vision that are able to record dense thermal information in a three-dimensional space. These thermal computer vision-based technologies (3D-TCV) entail a revision and updating of the current building energy monitoring methodologies. This paper provides a detailed definition of the most significant aspects of this new extended methodology and presents a case study showing the potential of 3D-TCV techniques and how they may complement current techniques. The results obtained lead us to believe that 3D computer vision can provide the field of building monitoring with a decisive boost, particularly in the case of heritage buildings.https://www.mdpi.com/2072-4292/13/8/1537energy monitoringbuildings3D computer visionthermography |
| spellingShingle | Antonio Adán Víctor Pérez José-Luis Vivancos Carolina Aparicio-Fernández Samuel A. Prieto Proposing 3D Thermal Technology for Heritage Building Energy Monitoring Remote Sensing energy monitoring buildings 3D computer vision thermography |
| title | Proposing 3D Thermal Technology for Heritage Building Energy Monitoring |
| title_full | Proposing 3D Thermal Technology for Heritage Building Energy Monitoring |
| title_fullStr | Proposing 3D Thermal Technology for Heritage Building Energy Monitoring |
| title_full_unstemmed | Proposing 3D Thermal Technology for Heritage Building Energy Monitoring |
| title_short | Proposing 3D Thermal Technology for Heritage Building Energy Monitoring |
| title_sort | proposing 3d thermal technology for heritage building energy monitoring |
| topic | energy monitoring buildings 3D computer vision thermography |
| url | https://www.mdpi.com/2072-4292/13/8/1537 |
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