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Erschienen in:
Methods for Improving the Microstructure of Recycled Concrete Aggregate: A Review Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

A Review of BIM Data Exchange Method in BIM Collaboration

verfasst von : Jinfeng Lou, Weisheng Lu, Fan Xue

Erschienen in: Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

Verlag: Springer Singapore

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Abstract

Nowadays, building information modeling (BIM) plays a crucial role in project collaboration. BIM information should be freely exchanged among different stakeholders for the purpose of collaboration. With the development of Information and Communication Technology (ICT), there are many novel data exchange methods for BIM information exchange. However, little literature has attempted to review the current status of BIM data exchange methods. This study aims to provide a comprehensive summary of the status quo of BIM data exchange methods, including file-based method, cloud-based method, and three local data exchange methods. The advantages and disadvantages of each method are identified. This paper reveals that more efforts should be paid for enhancing the capability to deal with large Industry Foundation Class (IFC) files; a more stable, consistent identifier that can uniquely and easily identify an object should be developed; more opportunity in integrating BIM with some emerging technologies, like blockchain, should be seized to solve the problems in BIM data exchange. This study presents an in-depth analysis of the current BIM data exchange method and helps the industry and academia to identify the existing gaps and future directions.

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Vorheriges Kapitel Intervening Construction Workers’ Unsafe Behaviour with a Chatbot
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Metadaten
Titel
A Review of BIM Data Exchange Method in BIM Collaboration
verfasst von
Jinfeng Lou
Weisheng Lu
Fan Xue
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-16-3586-1

Electronic ISBN: 978-981-16-3587-8

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-16-3587-8_90