Challenges associated with generating accurate as-is building information models for existing buildings by leveraging heterogeneous data sources

Bo Gu, Semiha Ergan, Burcu Akinci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, facility management (FM) teams are facing challenges to generate accurate and semantically-rich as-is BIMs for existing buildings. Current model creation approaches, such as model generation based on point cloud data, mainly capture geometric information of a building and lack in providing additional semantic information about components and other project information. This paper provides the results of a detailed case study aimed at leveraging existing data sources (e.g., archived documents and data in FM systems) to generate accurate and semantically-rich as-is BIMs. The initial findings from the case study highlighted two main challenges associated with model generation from existing data sources: information extraction and integration. Existing information for different components is typically stored in heterogeneous data sources with various formats and quality and, hence, requires different approaches to extract information. The findings also showed that almost 40% of the component attributes investigated had conflicting values in existing sources. In order to address these challenges, formalized approaches are required to support conflict resolution, data extraction and integration.

Original languageEnglish (US)
Title of host publicationComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering
EditorsR. Raymond Issa, Ian Flood
PublisherAmerican Society of Civil Engineers (ASCE)
Pages560-568
Number of pages9
ISBN (Electronic)9780784413616
DOIs
StatePublished - 2014
Event2014 International Conference on Computing in Civil and Building Engineering - Orlando, United States
Duration: Jun 23 2014Jun 25 2014

Publication series

NameComputing in Civil and Building Engineering - Proceedings of the 2014 International Conference on Computing in Civil and Building Engineering

Other

Other2014 International Conference on Computing in Civil and Building Engineering
CountryUnited States
CityOrlando
Period6/23/146/25/14

ASJC Scopus subject areas

  • Computer Science Applications
  • Civil and Structural Engineering
  • Building and Construction

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