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Building system data integration using semantic

Abstract

In recent decades the construction industry started a rapid digitalisation process resulting in the widely used BIM methodology. Despite developing multiple Industry Foundation Classes (IFC) schemas, the interoperability and data integration between models remains an issue. This study aims to fill this gap by providing a framework for data integration between various models, achieved by analysis of available ontologies, IFC schema limitations, and their relations. This methodology is tested based on a case study containing multiple BIM models. The study's findings are expected to enhance the connectivity between MEP components placed in different models and provide knowledge representation for developing the Digital Twin concept.
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Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Community / Architecture, Materials and Structures
  • Denmark
  • RWTH Aachen University
  • Norwegian University of Science and Technology

Year

2023

Publisher

European Group for Intelligent Computing in Engineering

Book

The 30th EG-ICE: International Conference on Intelligent Computing in Engineering

ISBN

9780000000019

View this publication at Norwegian Research Information Repository