BIM standards and classification systems in data validation

Frederik Winther Jensen, Peter Nørkjær Gade

Publikation: Bidrag til bog/antologi/rapportKonferenceartikel i 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.
OriginalsprogEngelsk
TitelProceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering : Aarhus, Denmark, July 6-8,2022
RedaktørerJochen Teizer, Carl Peter Leslie Schultz
Antal sider11
Publikationsdato2022
Sider397-407
ISBN (Elektronisk)978-87-7507-521-8
DOI
StatusUdgivet - 2022
BegivenhedEG-ICE 2022: 29th International Workshop on Intelligent Computing in Engineering - Aarhus University, Aarhus, Danmark
Varighed: 6 jul. 20228 jul. 2022
Konferencens nummer: 29
https://conferences.au.dk/eg-ice

Konference

KonferenceEG-ICE 2022
Nummer29
LokationAarhus University
Land/OmrådeDanmark
ByAarhus
Periode06/07/2208/07/22
Internetadresse

Emneord

  • Byggeri, miljø og energi
  • BIM
  • Classification

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