유지관리용 PCD 및 파라메트릭 기반 옹벽 BIM 모델 생성 기술 개발
Development of PCD and Parametric Based Retaining wall BIM Models for Maintenance
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초록
본 연구는 PCD(Point Cloud Data)를 활용하여 파라메트릭 기반 옹벽 BIM(Building Information Modeling) 모델 생성 기술을 제시하였다. 효율적인 유지관리를 위해서는 실제 시공된 옹벽과 도면 간의 오차를 고려하여 옹벽의 현 외관을 반영할 수 있는 기술이 필요하다. LiDAR(Light Detection and Ranging)로 취득하고 정제된 PCD로부터 RANSAC 기반 제원 추출 알고리즘을 이용하여 옹벽의 높이와 경로 정보를 추출하였다. 단면 파라미터를 정의하여 BIM 모델을 자동 생성하는 알고리즘을 구축하였다. 이를 아파트 단지 옹벽에 적용한 결과, 옹벽 높이 추출의 최대 오차는 1.77%, 경로 추출의 최대 오차는 0.88%로 나타나 알고리즘의 우수성을 입증하였다. 본 연구는 기초 자료가 부족한 경우에도 BIM 모델을 자동으로 생성하는 방법을 제시하며, 옹벽 유지관리의 효율성을 향상시킬 수 있을 것으로 기대된다.
Abstract
This study introduces a technique for generating parametric BIM models of retaining walls using point cloud data (PCD). Efficient maintenance requires reflecting the current representation of retaining walls, accounting for any discrepancies between the as-built structure and initial drawing. For this, a RANSAC-based algorithm was employed to extract the height and path coordinates from acquired and refined PCD. BIM models were then automatically generated by defining sectional parameters. Applied to a real retaining wall, the algorithm demonstrated a maximum height extraction error of 1.77% and a path coordinate extraction error of 0.88%. This method offers a way to automatically generate BIM models, even when basic data is limited, and there is a the potential to enhance the efficiency of retaining wall maintenance.
참고문헌 (10)
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