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BIM standards and classification systems in data validation

  • Studerende ved Bygningskonstruktøruddannelsen, UCN

Research output: Chapter in Book/Report/Conference proceedingConference contribution to proceedingpeer-review

Abstract

Digitalisation has been proven vital to transition the construction industry into more sustainable ways of working. One of the ways the construction industry is digitalising is through Building Information Modelling. An important part of BIM is consistent and trustworthy data. However, effective automation of BIM data validation remains an issue for the construction industry. This paper uses a semi-structured literature review to investigate the use and challenges for BIM standards and building classification systems in relation to BIM data validation. To better understand what is hindering the development and successful implementation of these standards as data validation content. Findings from the review highlight multiple challenges hindering the implementation of standardised data validation workflows in the construction industry. It also shows that software vendors have an important role, where they must provide platform facilities that better support the heterogeneity of rules needed for the construction industry.
Original languageEnglish
Title of host publicationProceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering : Aarhus, Denmark, July 6-8,2022
EditorsJochen Teizer, Carl Peter Leslie Schultz
Number of pages11
Publication date2022
Pages397-407
ISBN (Electronic)978-87-7507-521-8
DOIs
Publication statusPublished - 2022
EventEG-ICE 2022: 29th International Workshop on Intelligent Computing in Engineering - Aarhus University, Aarhus, Denmark
Duration: 6 Jul 20228 Jul 2022
Conference number: 29
https://conferences.au.dk/eg-ice

Conference

ConferenceEG-ICE 2022
Number29
LocationAarhus University
Country/TerritoryDenmark
CityAarhus
Period06/07/2208/07/22
Internet address

Keywords

  • construction, environment and energy

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