Journal
AUTOMATION IN CONSTRUCTION
Volume 133, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.autcon.2021.104000
Keywords
Automated recognition and measurement; Precast concrete (PC) component; Connection; Three-dimenisonal (3D) point cloud
Funding
- National Key R&D Program of China [2018YFE0125400]
- National Natural Science Foundation of China [U1709216]
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The study introduces an automated method for recognizing and measuring rebars, concrete, and sleeves of PC components, aiming to control the quality of PC components and reduce construction costs.
The connection between precast concrete (PC) components is vital during the construction of prefabricated structures. However, PC components are generally inspected and measured manually, which is laborious and error-prone. Therefore, a novel approach was developed for automated recognition and measurement of rebars, concrete, and sleeves of PC components based on three-dimensional point clouds. The proposed approach rec-ognizes rebars, concrete planes, and the edge points of sleeve ports using a one-class classifier, a clustering al-gorithm, and an alpha-shape algorithm, respectively. Furthermore, boundary estimation was performed to determine the dimensions and positions of the subcomponents. The obtained experimental results validate that an average distance of 3.0 mm exists between the center of rebar cross-sections and their corresponding sleeve ports. The proposed approach provides a novel solution for automatically recognizing rebars, concrete, and sleeves of PC components. Furthermore, it can potentially control the quality of PC components and reduce the cost of construction.
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