Xu, Z; Liang, Y; Xu, Y; Fang, Z and Stilla, U (2022) Geometric modeling and surface-quality inspection of prefabricated concrete components using sliced point clouds. Journal of Construction Engineering and Management, 148(9): 04022087, ISSN 0733-9364
Abstract
Prefabricated buildings, as the development center of architectural industrialization, will produce a lot of point-cloud data in the process of information detection and management. These point-cloud data can be used for reverse modeling to restore the physical characteristics of prefabricated concrete components, which can provide a basis for prefabricated building informatics. However, traditional point-cloud data processing methods have limitations in the high-precision and high-efficiency restoration of physical entities. To solve this problem, this study assumes the reconstruction of the prefabricated point-cloud geometric model as the research object and builds a prefabricated concrete component model in industry foundation class (IFC) format using the equal-interval segmentation slice mapping method. The geometric surface quality of the prefabricated concrete component was determined by comparing the as-built and as-designed models. This study automated the steps in the data processing process through code and established the framework of a three-dimensional (3D) as-built model reconstruction platform on the assembly construction site. The feasibility of this method was verified using the prefabricated concrete component point-cloud data collected on site. This study solves the problems of easy loss of local details, noise point interference, and manual processing in the quality inspection process of prefabricated buildings. It is conducive to the construction quality management process of prefabricated buildings. The experimental results showed that this method is efficient, the code running time is less than 0.12 s, and the accuracy satisfies standard requirements.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | geometric model reconstruction; platform design; prefabricated concrete component; surface quality |
| Index terms: | accuracy, industrialization, point cloud, construction site, informatic, data processing, mapping, as-built model, physical characteristic, construction quality, restoration, platform, reconstruction, efficiency, industry foundation classes, quality inspection, modelling, prefabricated building |
| Subjects: | performance management, spatial and geospatial analysis, renovation and retrofit, economic development, digital design, professional development, material properties and characteristics, building construction, information science, quality assurance, computational design, technical documentation, work location, analytical methods, data science |
| Topics: | Site Management, Quality Management, Design Practice, Digital Applications, Construction Technology, Sustainability, Research Practice, Construction Materials, Engineering Principles, Information Management |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here