From BIM to Scan Planning and Optimization for Construction Control
Scan planning of buildings under construction is a key issue for an efficient assessment of work progress. This work presents an automatic method aimed to determinate the optimal scan positions and the optimal route based on the use of Building Information Models (BIM) and considering data completen...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-08-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/11/17/1963 |
| _version_ | 1798030944751321088 |
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| author | Ernesto Frías Lucía Díaz-Vilariño Jesús Balado Henrique Lorenzo |
| author_facet | Ernesto Frías Lucía Díaz-Vilariño Jesús Balado Henrique Lorenzo |
| author_sort | Ernesto Frías |
| collection | DOAJ |
| description | Scan planning of buildings under construction is a key issue for an efficient assessment of work progress. This work presents an automatic method aimed to determinate the optimal scan positions and the optimal route based on the use of Building Information Models (BIM) and considering data completeness as stopping criteria. The method is considered for a Terrestrial Laser Scanner mounted on a mobile robot following a stop & go procedure. The method starts by extracting floor plans from the BIM model according to the planned construction status, and including geometry and semantics of the building elements considered for construction control. The navigable space is defined from a binary map considering a security distance to building elements. After a grid-based and a triangulation-based distribution are implemented for generating scan position candidates, a visibility analysis is carried out to determine the optimal number and position of scans. The optimal route to visit all scan positions is addressed by using a probabilistic ant colony optimization algorithm. The method has been tested in simulated and real buildings under very dissimilar conditions and structural construction elements. The two approaches for generating scan position candidates are evaluated and results show the triangulation-based distribution as the more efficient approach in terms of processing and acquisition time, especially for large-scale buildings. |
| first_indexed | 2024-04-11T19:49:29Z |
| format | Article |
| id | doaj.art-93b8f3b660ac4a468a4b6b3f19b1877c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T19:49:29Z |
| publishDate | 2019-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-93b8f3b660ac4a468a4b6b3f19b1877c2022-12-22T04:06:22ZengMDPI AGRemote Sensing2072-42922019-08-011117196310.3390/rs11171963rs11171963From BIM to Scan Planning and Optimization for Construction ControlErnesto Frías0Lucía Díaz-Vilariño1Jesús Balado2Henrique Lorenzo3Applied Geotechnologies Group, Department Natural Resources and Environmental Engineering, University of Vigo, Campus Lagoas-Marcosende, CP 36310 Vigo, SpainApplied Geotechnologies Group, Department Natural Resources and Environmental Engineering, University of Vigo, Campus Lagoas-Marcosende, CP 36310 Vigo, SpainApplied Geotechnologies Group, Department Natural Resources and Environmental Engineering, University of Vigo, Campus Lagoas-Marcosende, CP 36310 Vigo, SpainApplied Geotechnologies Group, Department Natural Resources and Environmental Engineering, University of Vigo, Campus Lagoas-Marcosende, CP 36310 Vigo, SpainScan planning of buildings under construction is a key issue for an efficient assessment of work progress. This work presents an automatic method aimed to determinate the optimal scan positions and the optimal route based on the use of Building Information Models (BIM) and considering data completeness as stopping criteria. The method is considered for a Terrestrial Laser Scanner mounted on a mobile robot following a stop & go procedure. The method starts by extracting floor plans from the BIM model according to the planned construction status, and including geometry and semantics of the building elements considered for construction control. The navigable space is defined from a binary map considering a security distance to building elements. After a grid-based and a triangulation-based distribution are implemented for generating scan position candidates, a visibility analysis is carried out to determine the optimal number and position of scans. The optimal route to visit all scan positions is addressed by using a probabilistic ant colony optimization algorithm. The method has been tested in simulated and real buildings under very dissimilar conditions and structural construction elements. The two approaches for generating scan position candidates are evaluated and results show the triangulation-based distribution as the more efficient approach in terms of processing and acquisition time, especially for large-scale buildings.https://www.mdpi.com/2072-4292/11/17/1963BIMcontrol of executionscan-vs-BIMpath planningvisibilityspatial analysiscomputational geometry |
| spellingShingle | Ernesto Frías Lucía Díaz-Vilariño Jesús Balado Henrique Lorenzo From BIM to Scan Planning and Optimization for Construction Control Remote Sensing BIM control of execution scan-vs-BIM path planning visibility spatial analysis computational geometry |
| title | From BIM to Scan Planning and Optimization for Construction Control |
| title_full | From BIM to Scan Planning and Optimization for Construction Control |
| title_fullStr | From BIM to Scan Planning and Optimization for Construction Control |
| title_full_unstemmed | From BIM to Scan Planning and Optimization for Construction Control |
| title_short | From BIM to Scan Planning and Optimization for Construction Control |
| title_sort | from bim to scan planning and optimization for construction control |
| topic | BIM control of execution scan-vs-BIM path planning visibility spatial analysis computational geometry |
| url | https://www.mdpi.com/2072-4292/11/17/1963 |
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