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

• Published in: Sustainability Vol. 15; no. 19; p. 14073
• Main Authors: Kim, Ju-Yong, Kim, Gwang-Hee
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2023
• Subjects: Algorithms; Building information modeling; Civil engineering; Cloud computing; Construction; Data entry; Design; Lasers; Libraries; Methods; Programming languages; Scanning devices; Software; Sustainability; South Korea
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su151914073

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.