Quantitative Detection Technology for Pipeline Deformation Defects Based on Laser Point Cloud Data
Deformation and fluctuation of drainage pipelines are common structural defects in pipelines,and due to the inability to obtain accurate 3D(three-dimensional)spatial parame-ters of pipelines through CCTV inspection results,omissions and misjudgments often occcur in manual defect interpretation.In response to the problem of automated detection and analy-sis of pipeline defects,this paper constructs characterization parameters for pipeline deforma-tion and undulation defects,and proposes an automated identification method for pipeline de-formation defects based on laser point cloud data.By calculating the ellipse related informa-tion of pipeline point cloud cross-section fitting,the characterization parameters of pipeline deformation defects and the calculation method of pipeline undulation characterization param-eters based on random consistency sampling are provided.The empirical results show that this method can accurately obtain key information such as the position,grade,and length of pipeline deformation and undulation defects,and the accuracy of pipeline deformation defec-tion is better than that of artificial CCTV defect interpretation.The study shows that com-pared to traditional CCTV detection,the 3D laser detection has such advantages as high de-tection accuracy and strong digital application in quantitative detection of pipeline defects,and has good prospects for the development of 3D visualization and automated processing.This study has achieved 3D laser quantitative detection of pipeline deformation and undula-tion defects.Furthermore,comprehensive 3D laser point cloud feature parameters of pipeline defects can be constructed to achieve 3D laser automated detection and evaluation of all types of defects in pipelines.
pipeline laser detectionpoint cloud data processingautomatic defect identifica-tiondeformation defectsundulating defects
NETL
NSTL
万方数据
维普
