Automated Recognition and Measurement Based on 3D Point Cloud for Precast Concrete Components Connection

Abstract

The connection between precast concrete (PC) components is vital during the construction of prefabricated structures. However, PC components are usually inspected and measured by manual method, which is time-consuming, error-prone and unsuitable for large-scale components. This study developed a new approach for automated recognition and measurement of rebars, concrete, and sleeves on PC components based on 3D point clouds. Rebars, concrete planes, and the edge points of sleeve ports are recognized using a one-class classifier, a clustering algorithm, and the alpha-shape algorithm, respectively. Boundary estimation was performed to determine the dimensions and positions of the subcomponents. The proposed approach provides a new method for automatically recognizing rebars, concrete, and sleeves of PC components. Furthermore, the approach has the potential for PC component quality control and construction cost reduction.