국제학술발표논문집 (International conference on construction engineering and project management)

한국건설관리학회 (Korea Institute of Construction Engineering and Management)
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IFC Data Schema Extension for Railway Track Facility Management

  • Zeru Liu (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Wuhao Huang (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Hejun Xu (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Sining Li (Department of Architecture and Civil Engineering, City University of Hong Kong) ;
  • Jung In Kim (Department of Architecture and Civil Engineering, City University of Hong Kong)
  • 발행 : 2024.07.29
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초록

Railway track facility management (FM) is an intricate and multifaceted discipline that necessitates precise data management and scheduling for ensuring the safety and efficiency of railway operations. Although the Industry Foundation Classes (IFC) version 4.3 has incorporated railway infrastructure into its data schema, it still falls short in catering to the specialized needs of track FM. This paper presents an exhaustive extension to the IFC schema, specifically designed to address the challenges and complexities inherent in railway track FM. A two-step approach was employed in the development of this extension. The initial phase involves the development of a Unified Modeling Language (UML)-based conceptual model, encapsulating four pivotal elements: "component" for track asset and condition identification, "action" for the related tasks during track FM, "resource" for required materials and equipment as well as involved actors, and "operation" for track operation information capturing. This conceptual model serves as an intricate blueprint, offering a comprehensive structure for various FM facets. Thus, the proposed IFC extension is developed and aligned consistently with the conceptual model, forming an integrated, interoperable data management framework that can be easily adapted into the openBIM environment. The efficacy and applicability of the proposed extension are substantiated through real-world case studies, thereby demonstrating its capability to significantly enhance data visualization, interoperability, and overall decision-making in railway track FM.

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과제정보

The support of the General Research Fund of the University Grants Committee of Hong Kong (#11216422) and City University of Hong Kong (#7005972) is gratefully acknowledged.

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