Identifying Members of Common Structures Utilizing Three-Dimensional Detecting Information for 3D Point Cloud Model Application

Author:

Kim Ju-Yong1ORCID,Kim Gwang-Hee1

Affiliation:

1. Department of Architectural Engineering, Kyonggi University, Yeongtong-Gu, Suwon 16227, Republic of Korea

Abstract

This study focuses on improving progress monitoring in construction projects through the integration of 3D laser scanning technology and component-specific data identification. The conventional method of measuring progress using cost-based rates and on-site factors often leads to discrepancies between actual progress and reported rates. Additionally, data collection challenges in real construction sites further hinder accurate progress assessment. To address these issues, the study utilizes 3D laser scanning to gather real-time construction progress data and introduces a method to identify specific components by comparing 3D models with positional information. The method used in this study shows how to obtain powerful location information from BIM. This prevents direct duplicate operations from proceeding between models during execution. The comparison enables accurate identification, and an algorithm extracts additional details for construction status verification. The outcomes offer a promising solution for acquiring precise and reliable progress data, enabling stakeholders to make well-informed decisions. By implementing this approach, construction projects can achieve enhanced management and overall success.

Funder

National Research Foundation of Korea

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference38 articles.

1. Data acquisition technology (DAT) selection algorithm for automated progress measurement and management;Kang;Korea J. Constr. Eng. Manag.,2012

2. Kang, S.H. (2008). Utilizing Data Acquisition Technology (DAT) for Automated Construction Progress Management. [Master’s Thesis, Myungji University].

3. Kim, S.H. (2019). The Construction Project EV Tracking Process based on the 3D Point Cloud and 4D BIM. [Ph.D. Thesis, Yeungnam University].

4. A study on the improvement of construction progress management for EVMS;Lee;Korea J. Constr. Eng. Manag.,2002

5. Park, J.S. (2011). A Study on the Schedule Process for Forecasting Progress Rate for Construction Project. [Master’s Thesis, Gyeongsang National University].

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