Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements
The dimensional quality inspection of prefabricated concrete (PC) elements is crucial for ensuring overall assembly quality and enhancing on-site construction efficiency. However, current practices remain heavily reliant on manual inspection, which results in high operator dependency and low efficie...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/24/23/7486 |
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| author | Shuangping Li Bin Zhang Junxing Zheng Dong Wang Zuqiang Liu |
| author_facet | Shuangping Li Bin Zhang Junxing Zheng Dong Wang Zuqiang Liu |
| author_sort | Shuangping Li |
| collection | DOAJ |
| description | The dimensional quality inspection of prefabricated concrete (PC) elements is crucial for ensuring overall assembly quality and enhancing on-site construction efficiency. However, current practices remain heavily reliant on manual inspection, which results in high operator dependency and low efficiency. Existing Light Detection and Ranging (LiDAR)-based methods also require skilled professionals for scanning and subsequent point cloud processing, thereby presenting technical challenges. This study developed a 3D LiDAR system for the automatic identification and measurement of the dimensional quality of PC elements. The system consists of (1) a hardware system integrated with camera and LiDAR components to acquire 3D point cloud data and (2) a user-friendly graphical user interface (GUI) software system incorporating a series of algorithms for automated point cloud processing using PyQt5. Field experiments comparing the system’s measurements with manual measurements on prefabricated bridge columns demonstrated that the system’s average measurement error was approximately 5 mm. The developed system can provide a quick, accurate, and automated inspection tool for dimensional quality assessment of PC elements, thereby enhancing on-site construction efficiency. |
| format | Article |
| id | doaj-art-76ab38d5d61146fc9c3090e082fc5f57 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-76ab38d5d61146fc9c3090e082fc5f572025-08-20T02:38:42ZengMDPI AGSensors1424-82202024-11-012423748610.3390/s24237486Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete ElementsShuangping Li0Bin Zhang1Junxing Zheng2Dong Wang3Zuqiang Liu4Changjiang Spatial Information Technology Engineering Co., Ltd., Wuhan 430010, ChinaChangjiang Spatial Information Technology Engineering Co., Ltd., Wuhan 430010, ChinaSchool of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaSchool of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, ChinaChangjiang Spatial Information Technology Engineering Co., Ltd., Wuhan 430010, ChinaThe dimensional quality inspection of prefabricated concrete (PC) elements is crucial for ensuring overall assembly quality and enhancing on-site construction efficiency. However, current practices remain heavily reliant on manual inspection, which results in high operator dependency and low efficiency. Existing Light Detection and Ranging (LiDAR)-based methods also require skilled professionals for scanning and subsequent point cloud processing, thereby presenting technical challenges. This study developed a 3D LiDAR system for the automatic identification and measurement of the dimensional quality of PC elements. The system consists of (1) a hardware system integrated with camera and LiDAR components to acquire 3D point cloud data and (2) a user-friendly graphical user interface (GUI) software system incorporating a series of algorithms for automated point cloud processing using PyQt5. Field experiments comparing the system’s measurements with manual measurements on prefabricated bridge columns demonstrated that the system’s average measurement error was approximately 5 mm. The developed system can provide a quick, accurate, and automated inspection tool for dimensional quality assessment of PC elements, thereby enhancing on-site construction efficiency.https://www.mdpi.com/1424-8220/24/23/7486prefabricated concrete elementdimensional quality inspection3D LiDAR systempoint cloud processing |
| spellingShingle | Shuangping Li Bin Zhang Junxing Zheng Dong Wang Zuqiang Liu Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements Sensors prefabricated concrete element dimensional quality inspection 3D LiDAR system point cloud processing |
| title | Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements |
| title_full | Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements |
| title_fullStr | Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements |
| title_full_unstemmed | Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements |
| title_short | Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements |
| title_sort | development of automated 3d lidar system for dimensional quality inspection of prefabricated concrete elements |
| topic | prefabricated concrete element dimensional quality inspection 3D LiDAR system point cloud processing |
| url | https://www.mdpi.com/1424-8220/24/23/7486 |
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