DGCNN을 사용한 건설 모니터링의 진척도 정확성 개선

• 영문명: Improving the Accuracy of Construction Monitoring Using DGCNN
• 발행기관: 한국BIM학회
• 저자명: 이주형(Ju-Hyeong Lee) 정상윤(Sang-Yoon Jung) 이재희(Jae-Hee Lee) 강인석(Leen-Seok Kang)Ju-Hyeong Lee
• 간행물 정보: 『KIBIM Magazine』15권 1호, 1~12쪽, 전체 12쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2025.03.31

국문 초록

Due to the inefficiency of traditional methods, construction monitoring using smart equipment and BIM is gradually increasing due to the need for accurate progress measurement and automatic management. However, there are problems with complex integration and accuracy of element classification using PCD due to the difference in formats used to classify BIM and PCD. Therefore, the purpose of this study is to suggest a method to easily identify the progress by comparing PCD and PCD, increase the accuracy of element classification, and improve construction monitoring. In this study, PCD was created while maintaining model information using IFC and GUID in the design model, and the progress was identified by comparing it with the PCD obtained on site. In addition, for verification, classification was performed according to the schedule and verification was performed using the DGCNN algorithm. Through this, problems of complexity and accuracy are improved, and monitoring using more accurate information is possible by utilizing the obtained information.

목차

1. 서론

2. 건설 모니터링에 대한 고찰

3. 이론적 고찰

4. 건설 모니터링을 위한 정합 방법

5. 사례 적용 결과

6. 결론

Reference

키워드

BIM 모델 DGCNN 알고리즘 요소 분류 BIM Model PCD DGCNN Algorithm Element Classification