Automatic segmentation and 3D modeling of pipelines into constituent parts from laser-scan data of the built environment

Citations

WEB OF SCIENCE

43
Citations

SCOPUS

46

초록

The demand for three-dimensional (3D) modeling of as-built or as-is pipelines that occupy large areas in operating plants has been growing in recent times. In practice, although measurements can be efficiently performed by the use of laser-scanning technology, generating a pipeline model from laser-scan data remains challenging, possibly due to the data characteristics. This paper proposes a method for generating 3D models of entire pipelines, including straight pipes, elbows, reducers, and tee pipes, from laser-scan data. The proposed method comprises three main tasks: (1) identifying the existence and location of entire pipelines from laser-scan data, (2) segmenting each pipeline surface into its constituent forms (straight pipe, elbow, reducer, and tee), and (3) reconstructing the geometry of the individual pipelines and generating a 3D model of it Field experiments were performed at two different operating industrial plants to validate the method. Evaluation of the quantitative results reveals that the proposed method can indeed be used for the automation of 3D modeling of the pipelines in industrial plants and to be capable of producing such models with high accuracy.

키워드

As-built or as-is pipelines; Constituent pipe forms; Laser-scan data; 3D analysis of curvature; 3D modeling; LIDAR POINT CLOUDS; RECONSTRUCTION; PHOTOGRAMMETRY; CONSTRUCTION; CURVATURE; SURFACES; SYSTEM
제목
Automatic segmentation and 3D modeling of pipelines into constituent parts from laser-scan data of the built environment
저자
Son, Hyojoo; Kim, Changwan
DOI
10.1016/j.autcon.2016.05.010
발행일
2016-08
유형
Article
저널명
Automation in Construction
권
68
페이지
203 ~ 211