| id |
caadria2022_471 |
| authors |
Kim, Taehoon, Hong, Soonmin, Panya, David Stephen, Gu, Hyeongmo, Park, Hyejin, Won, Junghye and Choo, Seungyeon |
| year |
2022 |
| title |
Development of Technology for Automatic Extraction of Architectural Plan Wall Lines for Concrete Waste Prediction Using Point Cloud |
| doi |
https://doi.org/10.52842/conf.caadria.2022.2.597
|
| source |
Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 597-606 |
| summary |
Recently, as more and more projects on residential environment improvement in cities are actively carried out, the cases of demolishing or remodelling buildings has been increasing. Most of the target buildings for such projects are made of concrete. In order to reduce energy use as well as carbon emissions, the amount of concrete used as a building material should be reduced. This is because the concrete is the largest amount of construction waste, which the exact amount of concrete needs to be predicted. The architectural drawings are essential for the estimation and demolition of building waste, but the problem is that most of the old buildings' drawings do not exist. The 3D scanning process was performed to create the plans for such old buildings instead of the conventional method that is long time-consuming and labour-intensive actual measurement. In this study, we scanned 40 old houses that were scheduled to be demolished. The result showed that the 3D scanned drawings' accuracy - 99.2% - was higher than the ones measured by the conventional way. Through the algorithm developed in this study, the various processes of demolition, drawing measurement, and discarding quantity prediction can be solved in one process, thereby reducing work efficiently. And, considering the reliability of the research results, it is possible to reduce the economic loss by predicting the exact amount of waste in advance. After that, if the algorithm, developed in this study, can be further subdivided and supplemented to identify the materials for each part of the old buildings, it will be able to propose an efficient series of processes that distinguish between recyclable materials and wastes and thereby efficiently dispose of them. 0864108000 |
| keywords |
Point Cloud, Construction Waste, Parametric Design, Algorithm, Automatic Extraction, SDG 8 |
| series |
CAADRIA |
| email |
Choo@knu.ac.kr |
| full text |
 file.pdf (968,749 bytes) |
| references |
Content-type: text/plain
|
Capone, M. & Lanazara. E. (2019)
 Scan-to-BIM vs 3D Ideal model HBIM: parametric tools to study domes geometry
, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Volume XLII-2/W9, 2019)
|
|
|
|
|
Jung, R., Koo, B. & Yu, Y. (2019)
Using Drone and Laser Scanners for As-built Building Information Model Creation of a Cultural Heritage Building
, Journal of KIBIM. 9(2), 11–20
|
|
|
|
|
Kang, T. (2016)
Study on 3D Image Scan-based MEP Facility Management Technology
, Journal of KIBIM 6(4), 18–26
|
|
|
|
|
Kim, H. & Lee, Y. (2018)
Implementation of CUDA-based Octree Algorithm for Efficient Search for LiDAR Point Cloud
, The Korean Society of Remote Sensing. 34(6), 1009-1024
|
|
|
|
|
Kim, T. & Kwon, J. (2019)
The Maintenance and Management Method of Deteriorated Facilities Using 4D map Based on UAV and 3D Point Cloud
, Journal of the Korea Institute of Building Construction. 19(3), 239 – 246
|
|
|
|
|
Koo, B. & Kim, J. (2009)
The parametric model generation of human skeleton using Computerized Tomography images
, The Korean Society of Mechanical Engineers. 1337-1342
|
|
|
|
|
Mesrop, A., Juan, M., Juan, E. & Daniel, A. (2020)
From Point Cloud Data to Building Information Modelling: An Automatic Parametric Workflow for Heritage
, Remote Sens. 12(7), 1094
|
|
|
|
|
Park, H., Ryu, J., Woo, S. & Choo, S. (2016)
An Improvement of the Building Safety Inspection Survey Method using Laser Scanner and BIM-based Reverse Engineering
, Journal of the Korea Institute of Building Construction Planning & Design. 32(12), 79-90
|
|
|
|
|
Yoon, J. & Ryu, S. (2020)
A Study on the Advancement of Wooden Cultural Heritage Documentation through 3D Scanning
, Architectural Institute of Korea (97 – 10)
|
|
|
|
| last changed |
2022/07/22 07:34 |
|
