대한토목학회논문집 (KSCE Journal of Civil and Environmental Engineering Research)

  • 제43권4호
  • /
  • Pages.501-510
  • /
  • 2023
  • /
  • 1015-6348(pISSN)
  • /
  • 2799-9629(eISSN)
대한토목학회 (Korean Society of Civil Engeneers)
권호 표지
DOI QR코드

DOI QR Code

항만 BIM 표준 기반 항만 유지관리 정보의 링크드데이터 구축 및 활용

Development and Utilization of Linked Data of Port Maintenance Information for Port Facilities Based on Port BIM Standards

  • 신재영 (한국건설기술연구원 미래스마트건설연구본부) ;
  • 문현석 (한국건설기술연구원 미래스마트건설연구본부/BIM클러스터)
  • Shin, Jaeyoung (Korea Institute of Civil Engineering and Building Technology) ;
  • Moon, Hyounseok (Korea Institute of Civil Engineering and Building Technology)
  • 투고 : 2023.02.15
  • 심사 : 2023.03.30
  • 발행 : 2023.08.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

최근 스마트건설 확대 기조에 따라 건설 데이터 활용의 중요성이 높아지고 있다. 하지만 건설 사업정보와 유지관리 정보는 웹에 분산되어 있고, IFC를 통한 기존의 BIM 정보 교환 및 연계 방식은 BIM 데이터와 웹 자원과의 연결이 불가하다. 본 연구는 항만 유지관리 분야에서 BIM 데이터와 이종데이터의 통합적 활용방안을 모색하기 위해 링크드데이터(Linked Data, 이하 LD) 기술을 활용하여 BIM 기반 항만 시설물의 데이터 통합체계를 구축하였다. 이에 BIM 기반 항만 유지관리 온톨로지를 설계하고 BIM 시범사업인 부산 신항 2-1단계 3부두 시설의 BIM 및 사업·유지관리 정보를 대상으로 LD를 구축하였다. 또한, 발행된 LD를 활용하여 시설물 검색 및 통계, SPARQL Endpoint 기능 등 서비스 프로토타입을 구현하였다. 본 연구에서 제시하는 LD 기반 정보 통합체계는 기존 정보체계를 개방된 체계로 전환하고, BIM과 유지관리 데이터를 표준 형식의 웹 리소스로 구축하여 정보의 재활용성을 향상시킬 것으로 기대된다.

The importance of using construction data is increasing in accordance with the recent trend in the smart construction. However, construction project and maintenance information is distributed on the web, and the existing BIM(Building Information Modeling) information exchange and linking method using IFC(Industry Foundation Classes) cannot support connection with BIM data and web resources. This study aims to establish the BIM-based port facility data integration system using linked data(LD) technology in order to integrate BIM and heterogeneous data in the port maintenance domain. To this end, the port BIM-based ifcOWL and port facility maintenance ontology were designed, and LD was built for the BIM and maintenance information of Busan New Port 2-1 Pier3, a BIM pilot project. In addition, service prototypes such as search, statistics and SPARQL(SPARQL Protocol and RDF Query Language) endpoint functions were implemented using the issued LD. The LD-based information utilization system is expected to improve the reusability of information by converting the existing closed information system into an open system and BIM and maintenance data as a web resource in a standard format.

키워드

과제정보

이 논문은 2021년 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구(생애주기별 항만시설 통합 운영관리를 위한 BIM 기반기술 개발(과제번호 20180320))입니다.

참고문헌

  1. Allenmang, D., Hendler, J., Gandon, F. and Kim, H. (trans.) (2021). Semantic web for the working ontologist: linked data, RDFS, and OWL, Third Edition, Hanbit Academy Inc., Seoul (in Korean).
  2. Berners-Lee, T. J. (2006). Linked Data, Available at: https://www.w3.org/DesignIssues/LinkedData (Accessed: January 25, 2023).
  3. buildingSMART International(bSI). (2013). IFC(Industry Foundation Classes), Available at: https://technical.buildingsmart.org/standards/ifc/ (Accessed: January 25, 2023).
  4. buildingSMART International(bSI). (2016). ifcOWL, Available at: https://technical.buildingsmart.org/standards/ifc/ifc-formats/ifcowl/ (Accessed: January 25, 2023).
  5. Erdene, K., Kwon, T. H. and Lee, S. H. (2020). "Integration of extended IFC-BIM and ontology for information manage- ment of bridge inspection." Journal of Computational Structural Engineering Institute of Korea, COSEIK, Vol. 33, No. 6, pp. 411-417, https://doi.org/10.7734/COSEIK.2020.33.6.411.
  6. Farghaly, K., Soman, R. K., Collinge, W., Mosleh, M. H., Manu, P., and Cheung, C. M. (2022). "Construction safety ontology development and alignment with industry foundation classes (IFC)." Journal of Information Technology in Construction, Itcon, Vol. 27, pp. 94-108, https://doi.org/10.36680/j.itcon.2022.005.
  7. Heath, T. and Bizer, C. (2011). Linked data: Evolving the web into a global data space, Springer, Germany. https://doi.org/10.2200/S00334ED1V01Y201102WBE001.
  8. Hyun, K. J. and Ko, J. W. (2021). "Development and application of port BIM browser." KSCE 2021 CONVENTION, Korean Society of Civil Engineers, Gwangju, pp. 29-30 (in Korean).
  9. Lee, D. Y., Chi, H. L., Wang, J., Wang, X. and Park, C. S. (2016). "A linked data system framework for sharing construction defect information using ontologies and BIM environments." Automation in Construction, Elsevier, Vol. 68, pp. 102-113, https://doi.org/10.1016/j.autcon.2016.05.003.
  10. Li, X., Yang, D., Yuan, J., Donkers, A. and Liu, X. (2022). "BIM-enabled semantic web for automated safety checks in subway construction." Automation in Construction, Elsevier, Vol. 141, 104454, https://doi.org/10.1016/j.autcon.2022.104454.
  11. Moon, H. S. (2020). "Development and application of BIM-based integrated platform for the integrated management of port facilities." Magazine of Korean Society of Coastal and Ocean Engineers, KSCOE, Vol. 10, No. 2, pp. 63-70 (in Korean).
  12. Moon, H. S., Won, J. S. and Shin, J. Y. (2020). "Development of IFC standard for securing interoperability of BIM data for port facilities." KIBIM Magazine, KIBIM, Vol. 10, No. 1, pp. 9-22, https://doi.org/10.13161/kibim.2020.10.1.008 (in Korean).
  13. Na, Y. H., Park, M. Y. and Choi, D. Y. (2022). "A study of port facility maintenance and decision-making support system development." Journal of the Society of Disaster Information, KOSDI, Vol. 18, No. 2, pp. 290-305, https://doi.org/10.15683/kosdi.2022.6.30.290 (in Korean).
  14. Pauwels, P. and McGibbney, L. J. (2017). EXPRESStoOWL, Available at: https://github.com/pipauwel/EXPRESStoOWL/ (Accessed: January 25, 2023).
  15. Pauwels, P. and Terkaj, W. (2016). "EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology." Automation in Construction, Elsevier, Vol. 63, pp. 100-133, https://doi.org/10.1016/j.autcon.2015.12.003.
  16. Rasmussen, M. H., Lefrancois, M., Schneider, G. F. and Pauwels, P. (2021). "BOT: the building topology ontology of the W3C linked building data group." Semantic Web, IOS, Vol. 12, No. 1, pp. 143-161, https://doi.org/10.3233/SW-200385.
  17. Zhou, Y., Bao, T., Shu, X., Li, Y. and Li, Y. (2023). "BIM and ontology-based knowledge management for dam safety monitoring." Automation in Construction, Elsevier, Vol. 145, 104649, https://doi.org/10.1016/j.autcon.2022.104649.