Abstract

Building information modeling (BIM), which can efficiently manage the life cycle of structures, has been increasingly applied in the construction industry. However, it is difficult to implement BIM for existing structures, due to the differences between the design and as-built conditions. Point cloud data (PCD) can be obtained through the scan-to-BIM process, which builds a model based on the current state of the structure. The scan-to-BIM process is complicated for bridge structures and consumes significant time and resources. Therefore, this study developed a system to extract bridge design parameters automatically to reduce the time and resources for the scan-to-BIM process. The proposed automatic bridge design parameter extraction is performed in three steps: (1) noise reduction, (2) 3D transformation, and (3) parameter extraction. The validation test was conducted on the Osong test track fifth bridge in Nojang-ri, Jeondong-myeon, Yeongi-gun, Chungcheongnam-do, Korea. The system developed in this study successfully extracted the design parameters of the bridge from the PCD automatically, resulting in 0.8% error rate.

Highlights

  • The construction industry has been rapidly developing through its synergy with information technology (IT)

  • We developed a system that automatically extracts design parameters from point cloud data (PCD) of bridges

  • The overall system consists of three components: (1) noise reduction, (2) 3D transformation, and (3) design parameter extraction

Read more

Summary

Introduction

The construction industry has been rapidly developing through its synergy with information technology (IT). The scan-to-BIM process can produce BIM models that represent the structure and its current status. Even PCD obtained in this way that contains semantic information may not be directly used to produce a BIM model. The scan-to-BIM process requires parameter extraction to obtain numerical data such as height, length, and width. The components of bridges are complex and not universal, complicating automated parameter extraction. As a result, this extraction is currently performed manually, which consumes time and resources. This study developed a method to automatically extract design parameters of bridges, such as the heights, lengths, and widths of components, from PCD. The proposed method is expected to reduce the time and expense associated with current scan-to-BIM processes

System Development
Noise Reduction
Plane-Forming-Vector Extraction
Design Parameter Extraction
BIM Model-Based Validation Test Setup
BIM Model-Based Validation Result and Discussion
On-Site Field Validation Test Setup
On-Site Field Validation Result and Discussion
Findings
Conclusions and Future Work

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.