선박 및 플랜트 구조물 치수품질 검사를 위한 스캔데이터 분석 방법

• Published in: 한국CDE학회 논문집 Vol. 25; no. 4; pp. 406 - 416
• Main Authors: 권대용(Dae Yong Kwon), 윤여운(Yeo Un Yoon), 최두진(Doo Jin Choi), 권기연(Ki-Youn Kwon)
• Format: Journal Article
• Language: Korean
• Published: (사)한국CDE학회 01.12.2020; 한국CDE학회
• Subjects: 기계공학; 3D laser scanner; Plant equipment; Point cloud; Dimensional quality inspection
• ISSN: 2508-4003; 2508-402X
• DOI: 10.7315/CDE.2020.406

Plant equipment is made at the factory and installed at the construction site. If dimension quality problems occur during this process, it is impossible to fix the equipment. The part that is already installed at the construction site will need to be modified. Such modifications are expensive and time consuming. Dimensional quality inspection is required in advance and, recently, 3D laser scanners have been used. These can measure large areas more quickly than possible using other measuring instruments; however, 3D laser scanner results require a great deal of post-processing. In this study, we propose a method that automatically analyzes measured point data for dimension quality inspection of plant equipment. To reduce the calculation time, a grid is constructed and dimensional quality analysis is performed using representative points. Also, to remove noise and unnecessary areas, points with large error are repeatedly deleted. KCI Citation Count: 0