| Autor: |
Frederik Jensen, Peter Gade |
| Rok vydání: |
2022 |
| Zdroj: |
Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering. |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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