Integrating BIM and LiDAR for Real-Time Construction Quality Control
In the construction process, real-time quality control and early defects detection are still the most significant approach to reducing project schedule and cost overrun. Current approaches for quality control on construction sites are time-consuming and ineffective since they only provide data at sp...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
| Published: |
Springer
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/20922 |
| _version_ | 1848750445242089472 |
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| author | Wang, Jun Sun, W. Shou, W. Wang, Xiangyu Wu, Changzhi Chong, Heap Yih Liu, Y. Sun, C. |
| author_facet | Wang, Jun Sun, W. Shou, W. Wang, Xiangyu Wu, Changzhi Chong, Heap Yih Liu, Y. Sun, C. |
| author_sort | Wang, Jun |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In the construction process, real-time quality control and early defects detection are still the most significant approach to reducing project schedule and cost overrun. Current approaches for quality control on construction sites are time-consuming and ineffective since they only provide data at specific locations and times to represent the work in place, which limit a quality manager’s abilities to easily identify and manage defects. The purpose of this paper is to develop an integrated system of Building Information Modelling (BIM) and Light Detection and Ranging (LiDAR) to come up with real-time onsite quality information collecting and processing for construction quality control. Three major research activities were carried out systematically, namely, literature review and investigation, system development and system evaluation. The proposed BIM and LiDAR-based construction quality control system were discussed in five sections: LiDAR-based real-time tracking system, BIM-based real-time checking system, quality control system, point cloud coordinate transformation system, and data processing system. Then, the system prototype was developed for demonstrating the functions of flight path control and real-time construction quality deviation analysis. Finally, three case studies or pilot projects were selected to evaluate the developed system. The results show that the system is able to efficiently identify potential construction defects and support real-time quality control. |
| first_indexed | 2025-11-14T07:36:57Z |
| format | Journal Article |
| id | curtin-20.500.11937-20922 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:36:57Z |
| publishDate | 2014 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-209222017-09-13T13:44:33Z Integrating BIM and LiDAR for Real-Time Construction Quality Control Wang, Jun Sun, W. Shou, W. Wang, Xiangyu Wu, Changzhi Chong, Heap Yih Liu, Y. Sun, C. LiDAR Quality control Quadrotor BIM Defect detection In the construction process, real-time quality control and early defects detection are still the most significant approach to reducing project schedule and cost overrun. Current approaches for quality control on construction sites are time-consuming and ineffective since they only provide data at specific locations and times to represent the work in place, which limit a quality manager’s abilities to easily identify and manage defects. The purpose of this paper is to develop an integrated system of Building Information Modelling (BIM) and Light Detection and Ranging (LiDAR) to come up with real-time onsite quality information collecting and processing for construction quality control. Three major research activities were carried out systematically, namely, literature review and investigation, system development and system evaluation. The proposed BIM and LiDAR-based construction quality control system were discussed in five sections: LiDAR-based real-time tracking system, BIM-based real-time checking system, quality control system, point cloud coordinate transformation system, and data processing system. Then, the system prototype was developed for demonstrating the functions of flight path control and real-time construction quality deviation analysis. Finally, three case studies or pilot projects were selected to evaluate the developed system. The results show that the system is able to efficiently identify potential construction defects and support real-time quality control. 2014 Journal Article http://hdl.handle.net/20.500.11937/20922 10.1007/s10846-014-0116-8 Springer restricted |
| spellingShingle | LiDAR Quality control Quadrotor BIM Defect detection Wang, Jun Sun, W. Shou, W. Wang, Xiangyu Wu, Changzhi Chong, Heap Yih Liu, Y. Sun, C. Integrating BIM and LiDAR for Real-Time Construction Quality Control |
| title | Integrating BIM and LiDAR for Real-Time Construction Quality Control |
| title_full | Integrating BIM and LiDAR for Real-Time Construction Quality Control |
| title_fullStr | Integrating BIM and LiDAR for Real-Time Construction Quality Control |
| title_full_unstemmed | Integrating BIM and LiDAR for Real-Time Construction Quality Control |
| title_short | Integrating BIM and LiDAR for Real-Time Construction Quality Control |
| title_sort | integrating bim and lidar for real-time construction quality control |
| topic | LiDAR Quality control Quadrotor BIM Defect detection |
| url | http://hdl.handle.net/20.500.11937/20922 |