HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIES
The implementation of geometric, alphanumerical and documentary data within BIM models is opening up interesting scenarios in the integrated management of existing infrastructure works. In particular, data from the application of sensors for structural monitoring of historic bridges can originate a...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/33/2023/isprs-archives-XLVIII-M-2-2023-33-2023.pdf |
| _version_ | 1827917534857265152 |
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| author | A. Aglietti C. Biagini A. Bongini P. Ottobri |
| author_facet | A. Aglietti C. Biagini A. Bongini P. Ottobri |
| author_sort | A. Aglietti |
| collection | DOAJ |
| description | The implementation of geometric, alphanumerical and documentary data within BIM models is opening up interesting scenarios in the integrated management of existing infrastructure works. In particular, data from the application of sensors for structural monitoring of historic bridges can originate a flow of information exchange between real artifacts and Digital Twin capable of activating effective reactive or planned responses in the operation and maintenance phase of the asset by the facility manager. This paper intends to outline a BIM-oriented process workflow, which from the creation of parametric objects for infrastructural works using Scan-to-BIM acquisition techniques and procedures, arrives at the implementation of models aimed at the management of data from incoming and outgoing sensors towards analysis, supervision and control systems of the facilities organization. The case study of the Toppoli Bridge over the Arno River along the S.P. 64 road in the Province of Arezzo (IT), an artifact dating back to the early decades of the 1900s and built using traditional construction techniques and recently subject to renovation, is addressed. The experience conducted has highlighted how the BIM methodology for information management of existing assets, effectively responds to the current needs of monitoring and control of historical infrastructure assets, being able to integrate with multiple information management systems of the facilities organization, as well as the latest AI and AR technologies. |
| first_indexed | 2024-03-13T03:30:14Z |
| format | Article |
| id | doaj.art-4720dca7b083411dba3c6d1b153f4cd7 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-03-13T03:30:14Z |
| publishDate | 2023-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-4720dca7b083411dba3c6d1b153f4cd72023-06-24T15:35:16ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342023-06-01XLVIII-M-2-2023334110.5194/isprs-archives-XLVIII-M-2-2023-33-2023HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIESA. Aglietti0C. Biagini1A. Bongini2P. Ottobri3Department of Architecture, University of Florence, ItalyDepartment of Architecture, University of Florence, ItalyDepartment of Civil and Environmental Engineering, University of Florence, ItalyDepartment of Architecture, University of Florence, ItalyThe implementation of geometric, alphanumerical and documentary data within BIM models is opening up interesting scenarios in the integrated management of existing infrastructure works. In particular, data from the application of sensors for structural monitoring of historic bridges can originate a flow of information exchange between real artifacts and Digital Twin capable of activating effective reactive or planned responses in the operation and maintenance phase of the asset by the facility manager. This paper intends to outline a BIM-oriented process workflow, which from the creation of parametric objects for infrastructural works using Scan-to-BIM acquisition techniques and procedures, arrives at the implementation of models aimed at the management of data from incoming and outgoing sensors towards analysis, supervision and control systems of the facilities organization. The case study of the Toppoli Bridge over the Arno River along the S.P. 64 road in the Province of Arezzo (IT), an artifact dating back to the early decades of the 1900s and built using traditional construction techniques and recently subject to renovation, is addressed. The experience conducted has highlighted how the BIM methodology for information management of existing assets, effectively responds to the current needs of monitoring and control of historical infrastructure assets, being able to integrate with multiple information management systems of the facilities organization, as well as the latest AI and AR technologies.https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/33/2023/isprs-archives-XLVIII-M-2-2023-33-2023.pdf |
| spellingShingle | A. Aglietti C. Biagini A. Bongini P. Ottobri HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIES |
| title_full | HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIES |
| title_fullStr | HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIES |
| title_full_unstemmed | HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIES |
| title_short | HISTORIC BRIDGES MONITORING THROUGH SENSOR DATA MANAGEMENT WITH BIM METHODOLOGIES |
| title_sort | historic bridges monitoring through sensor data management with bim methodologies |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-M-2-2023/33/2023/isprs-archives-XLVIII-M-2-2023-33-2023.pdf |
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