Open Access3D reconstruction method of inner surface of pipeline
Author(s) -
Xu Chen,
Yan Zhang,
Kang Zhao,
Jinyu Guo,
Ruiliang Luo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012140
Subject(s) - pipeline (software) , pipeline transport , point cloud , computer science , identification (biology) , surface (topology) , feature (linguistics) , surface reconstruction , computer vision , cloud computing , point (geometry) , artificial intelligence , engineering , mechanical engineering , linguistics , philosophy , programming language , operating system , botany , geometry , mathematics , biology
With the rapid development of China, there is a huge demand for PE pipelines. At present, the detection methods in pipeline production are mainly manual sampling testing and ultrasonic testing, which cannot display the internal surface characteristics of the pipeline comprehensively and visually, so as to facilitate the subsequent non-destructive testing. To solve this problem, this paper proposes a method to capture the three-dimensional feature data in the pipe with a depth camera, and transmit the collected point cloud data into PC for processing, identification and reconstruction, so as to realize the non-destructive testing of the inner surface of PE pipe.