Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping
Historic buildings require good maintenance to sustain their function and preserve embodied heritage values. Previous studies have demonstrated the benefits of digitalization techniques in improving maintenance and managing threats to historic buildings. However, there still lacks a solution that ca...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9868776/ |
| _version_ | 1828143894315925504 |
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| author | Zhongjun Ni Yu Liu Magnus Karlsson Shaofang Gong |
| author_facet | Zhongjun Ni Yu Liu Magnus Karlsson Shaofang Gong |
| author_sort | Zhongjun Ni |
| collection | DOAJ |
| description | Historic buildings require good maintenance to sustain their function and preserve embodied heritage values. Previous studies have demonstrated the benefits of digitalization techniques in improving maintenance and managing threats to historic buildings. However, there still lacks a solution that can consistently organize data collected from historic buildings to reveal operating conditions of historic buildings in real-time and to facilitate various data analytics and simulations. This study aims to provide such a solution to help achieve preventive conservation. The proposed solution integrates Internet of Things and ontology to create digital twins of historic buildings. Internet of Things enables revealing the latest status of historic buildings, while ontology provides a consistent data schema for representing historic buildings. This study also gives a reference implementation by using public cloud services and open-source software libraries, which make it easier to be reused in other historic buildings. To verify the feasibility of the solution, we conducted a case study in the City Theatre, Norrköping, Sweden. The obtained results demonstrate the advantages of digital twins in providing maintenance knowledge and identifying potential risks caused by fluctuations of relative humidity. |
| first_indexed | 2024-04-11T20:07:12Z |
| format | Article |
| id | doaj.art-7fdc8c0fcd8342a081a16487788a7641 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T20:07:12Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-7fdc8c0fcd8342a081a16487788a76412022-12-22T04:05:18ZengIEEEIEEE Access2169-35362022-01-0110909249093910.1109/ACCESS.2022.32021819868776Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, NorrköpingZhongjun Ni0https://orcid.org/0000-0003-0931-7584Yu Liu1https://orcid.org/0000-0002-5742-1266Magnus Karlsson2https://orcid.org/0000-0002-4136-0817Shaofang Gong3https://orcid.org/0000-0002-1401-4636Department of Science and Technology, Linköping University, Campus Norrköping, Norrköping, SwedenDepartment of Science and Technology, Linköping University, Campus Norrköping, Norrköping, SwedenDepartment of Science and Technology, Linköping University, Campus Norrköping, Norrköping, SwedenDepartment of Science and Technology, Linköping University, Campus Norrköping, Norrköping, SwedenHistoric buildings require good maintenance to sustain their function and preserve embodied heritage values. Previous studies have demonstrated the benefits of digitalization techniques in improving maintenance and managing threats to historic buildings. However, there still lacks a solution that can consistently organize data collected from historic buildings to reveal operating conditions of historic buildings in real-time and to facilitate various data analytics and simulations. This study aims to provide such a solution to help achieve preventive conservation. The proposed solution integrates Internet of Things and ontology to create digital twins of historic buildings. Internet of Things enables revealing the latest status of historic buildings, while ontology provides a consistent data schema for representing historic buildings. This study also gives a reference implementation by using public cloud services and open-source software libraries, which make it easier to be reused in other historic buildings. To verify the feasibility of the solution, we conducted a case study in the City Theatre, Norrköping, Sweden. The obtained results demonstrate the advantages of digital twins in providing maintenance knowledge and identifying potential risks caused by fluctuations of relative humidity.https://ieeexplore.ieee.org/document/9868776/Digital twinhistoric buildingindoor environmentInternet of Things |
| spellingShingle | Zhongjun Ni Yu Liu Magnus Karlsson Shaofang Gong Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping IEEE Access Digital twin historic building indoor environment Internet of Things |
| title | Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping |
| title_full | Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping |
| title_fullStr | Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping |
| title_full_unstemmed | Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping |
| title_short | Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping |
| title_sort | enabling preventive conservation of historic buildings through cloud based digital twins a case study in the city theatre norrk x00f6 ping |
| topic | Digital twin historic building indoor environment Internet of Things |
| url | https://ieeexplore.ieee.org/document/9868776/ |
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