A Method For The Quality Inspection Of Reinforcement Skeletons Of PC Components Based On Structured Light Camera And BIM

The quality inspection of reinforcement skeletons is an important aspect of the quality inspection of prefabricated reinforced concrete components,and its quality has a decisive influence on the quality of prefabricated reinforced concrete components.At present,the quality inspection methods of reinforcement skeletons mainly rely on manual labor,that is,the number of steel bars and the spacing of the steel bars are inspected by means of steel rule measurement,manual counting and so on.According to the current regulations,all steel bars in reinforcement skeletons need to be inspected.Therefore,the current quality inspection methods of reinforcement skeletons are time-consuming,errorprone,and labor-consuming.The emergence of sensors such as structured light cameras and technologies such as3 D reconstruction,point cloud processing,and building information modeling provides the possibility to solve above problems.This research focuses on the quality inspection of reinforcement skeletons in the prefabricated reinforced concrete components.Based on the above sensors and technologies,core algorithms for quality inspection of reinforcement skeletons are proposed to solve above problems of quality inspection methods of reinforcement skeletons.First,the research progress of current quality inspection methods of reinforcement skeletons and 3D reconstruction techniques are clarified based on the literature research,and the gap between them and the needs of this research is proposed.Secondly,a structured light camera is selected as the sensor of this research on the basis of the literature research,network research and trial use,and a data acquisition equipment is designed and manufactured accordingly.At the same time,the concrete form,quality inspection content and methods of the reinforcement skeletons in real projects are determined through a field survey,and a reinforcement skeleton specimen for experiments in the research is designed and made based on requirements of the specification.Next,the core algorithms for the quality inspection of reinforcement skeletons are studied,including the algorithm for the high-precision fine registration of reinforcement skeleton point clouds,the algorithm for the acquisition of complete point clouds of a reinforcement skeleton,the algorithm for the automatic generation of a semantic as-designed point cloud of a reinforcement skeleton,and the algorithm for the automatic quality inspection of reinforcement skeletons.These algorithms realize the following functions respectively: high-precision fine registration for two point clouds of a reinforcement skeleton;realizing the acquisition of complete point clouds of a reinforcement skeleton based on the algorithm for high-precision fine registration of reinforcement skeleton point clouds and techniques including 3D reconstruction,point cloud processing,map optimization and so on,while minimizing the error;generating a semantic as-designed point cloud for a reinforcement skeleton based on the building information model of the reinforcement skeleton,which is beneficial to reduce the complexity of the subsequent automatic quality inspection of reinforcement skeletons;realizing the automatic inspection of the number of steel bars and the spacing of the steel bars in a reinforcement skeleton based on the complete point clouds and a semantic asdesigned point cloud of the reinforcement skeleton.At the same time,experiments are carried out on the above-mentioned algorithms with the reinforcement skeleton specimen.The results of the experiment show that the core algorithms for the quality inspection of reinforcement skeletons proposed in this research can realize the automatic quality inspection of complicated reinforcement skeletons,effectively improve the efficiency of the quality inspection of reinforcement skeletons,avoid the human error,and reduce the labor cost.