The Stereo Camera Measurement of Point Cloud on 3D Object and the Calculation of Volume Based on Irregular Triangular Mesh

Lee, Young-Dae; Cho, Sung-Youn; Kim, Kyung; Lee, Dong Gyu

doi:10.7236/jiwit.2012.12.4.153

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Jun Wang (2014) constructed a civil engineering site model using point cloud data and assigned safety grades according to height to use them as basic data for safety enhancement of the area [6]. Previously, Lee Y. D. (2012) compared accuracy by grid size after calculating the volume of 3D point clouds through the triangular grid method [7]. Both were followed by Tomas Mikita (2015) who calculated forest volume by applying variations caused by wind through the triangular grid method [8].…”

Section: Study Scope and Methodsmentioning

confidence: 99%

Automatic Space Analysis Using Laser Scanning and a 3D Grid: Applications to Industrial Plant Facilities

et al. 2020

View full text Add to dashboard Cite

While industrial plant projects are becoming bigger, and global attention to the plant as a construct is increasing, space arrangement in plant projects is inefficient because of the complex structure of required facilities (e.g., complex MEP (mechanical, electrical, and plumbing) installations, specialized tools, etc.,). Furthermore, problems during installation, operation, and maintenance stages caused by inconsistencies between floor plans and actual layout are on the rise. Although some of these conflicts can be addressed through clash detection using BIM (building information modeling), quality BIM models are scarce, especially for existing industrial plants. This study proposes a way to address the complexities caused by changes during plant construction and securing space for the installation of equipment during the construction and lifecycle of built facilities. 3D cloud point data of space and equipment were collected using 3D laser scanning to conduct space matching. In processing the space matching, data were simplified by applying the 3D grid and by comparing the data, easier identification of the space for target equipment was accomplished. This study also proposed a pre-processing method based on sub-sampling that optimizes the point cloud data and verifies the processing speed and accuracy. Lastly, it finds free space for various equipment layouts required in industrial plant projects by space analysis, proposed algorithms, and processes for obtaining the coordinates of valid space for equipment arrangement. The proposed method of this study is expected to help solve the problems derived from arrangement and installation of new equipment in a complex plant site.

show abstract