김정연, 노명일, 공민철, 장형운, "설계 P&ID와 3D 배관 데이터 간 매칭 데이터 자동 생성", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 97, 2026.05.27-05.29
Domestic Conference
2026.06.02 11:16
김정연, 노명일, 공민철, 장형운, "설계 P&ID와 3D 배관 데이터 간 매칭 데이터 자동 생성", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 97, 2026.05.27-05.29
조회 수 667
| 첨부 '1' |
|---|
| Abstract | Legacy piping design data on ships is stored in multiple formats, including P&IDs and 3D CAD models. Since no explicit associations are defined between these design data sources, it is difficult to integrate them into a unified dataset. Nevertheless, such design data is essential for generating training data for ship design, as it embodies past design practices. This study proposes a methodology for automatically extracting associations between identical elements across P&ID and 3D CAD piping design data to generate training data without human intervention. For the P&ID data, the DXF format, which contains only geometric information, was used. For the 3D CAD data, a database that accumulates design information was used. Symbols in the P&IDs were classified into image-based detection symbols (valves) and rule-based detection symbols (nozzles, reducers, etc.), and short segments from valves to equipment nozzles were identified as the target search regions. For the 3D CAD piping data, piping information for the entire vessel was converted into a graph. The nodes corresponding to specific valves were retrieved by name, and the target pipe segments between them were identified. Through this approach, it was confirmed that matching data for valves and equipment nozzles can be automatically generated solely from design information. Furthermore, this study demonstrates the potential to extend the methodology toequipment- and equipment-nozzle-level matching datasets for use as training data. |
|---|---|
| Publication Date | 2026-05-28 |
Prev 김창현, 노명일, "기계학습 기반 선박 구상선수 형상 개조에 따른 성능 변화 예측의 불확실성 정량화", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 117, 2026.05.27-05.29
김창현, 노명일, "기계학습 기반 선박 구상선수 형상 개조에 따른 성능 변화 예측의 불확실성 정량화", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 117, 2026.05.27-05.29
2026.06.02by SyDLab
김동우, 노명일, 여인창, "앙상블 근사모델 기반 멤브레인형... Next
김동우, 노명일, 여인창, "앙상블 근사모델 기반 멤브레인형...
2026.06.02by
-
Read More
김정연, 노명일, 공민철, 장형운, "설계 P&ID와 3D 배관 데이터 간 매칭 데이터 자동 생성", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 97, 2026.05.27-05.29
CategoryDomestic Conference -
Read More
김동우, 노명일, 여인창, "앙상블 근사모델 기반 멤브레인형 LNG 화물창 마스틱 패턴", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 88, 2026.05.27-05.29
CategoryDomestic Conference -
Read More
강경현, 노명일, 여인창, 최성원, "협력 임무 수행을 위한 복수 무인 수상정의 운용 시뮬레이션 방법", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 547, 2026.05.27-05.29
CategoryDomestic Conference -
Read More
김동우, 노명일, 여인창, 최성원, "멤브레인 타입 LNG 화물창 내 작업자 안전을 고려한 단열 판넬 자동 이송 장치의 경로 계획 연구", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 258, 2026.05.27-05.29
CategoryDomestic Conference -
Read More
김하연, 노명일, 여인창, 김윤식, 김창현, "가상 시운전을 통한 전기 추진 선박의 성능 예측 방법", 2026년도 대한조선학회 춘계학술발표회, 제주, p. 259, 2026.05.27-05.29
CategoryDomestic Conference -
Read More
Gyeong-Hyeon Kang, Myung-Il Roh, In-Chang Yeo, "A Simulation Method for the Coastal Patrol Mission of Multiple Unmanned Surface Vehicles", Proceedings of ACSMO 2026, Busan, Korea, 2026.05.17-21.
CategoryInternational Conference -
Read More
Session 2, International Expert Workshop on Design and Safety of Next-Generation Ships, Seoul, 2026.04.07-09
CategoryConference Chairman -
Read More
Myung-Il Roh, "Introduction to AI-driven Improvements in Ship Design", International Expert Workshop on Design and Safety of Next-Generation Ships, Seoul, 2026.04.07-09
CategoryInternational Conference -
Read More
여인창, 노명일, 최성원, 김윤식, "심층 강화 학습을 이용한 자율 운항 선박의 접안 방법", 2026년도 한국CDE학회 동계학술발표회, 용평, p. 48, 2026.02.09-02.12
CategoryDomestic Conference -
Read More
Seong-Won Choi, Myung-Il Roh, Min-Chul Kong, In-Su Han, "A Method for Ship Pipe Routing Based on Transformer Architecture with Expert Knowledge", Proceedings of ICCAS 2026, Singapore, 2026.09.14-16
CategoryInternational Conference