IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-3977-0_57.html
   My bibliography  Save this book chapter

Research on the Efficiency of 3D Collaborative Design Based on P-BIM Cloud Platform

In: Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Fuping Zhou

    (Shenzhen University)

  • Jiayuan Wang

    (Shenzhen University)

  • Gejing Shang

    (Shenzhen University)

  • Jingya Li

    (Harbin Institute of Technology)

Abstract

With the further development of the construction industry, the types and functions of buildings have become more and more complex, so it’s particularly important to effectively improve the efficiency of architectural design. The value of BIM has been widely recognized by the architectural design industry, but the information of the model can’t be effectively exchanged, which causes the failure of BIM to play its due role in improving the efficiency of collaborative design. Therefore, the reasons why information exchange is impeded on the BIM application are analyzed first through the application status of collaborative design and then it is concluded that the format of BIM software is not compatible and the model data transmitted is too large are the main obstructing factors for implementing BIM on three-dimensional (3D) collaborative design. Based on this, the current research describes the theory of building a 3D collaborative design platform and the P-BIM cloud platform developed based on this theory. Next, the building information model of a dormitory in Shenzhen University was used as a case to carry out the verification experiment that the 3D BIM model data of the dormitory was transmitted through the P-BIM cloud platform. Experimental results show that the P-BIM cloud platform can effectively implement information exchange in architectural design and reduce the repetitive work in the work handover to improve the efficiency of architectural design. Finally, some suggestions on the application of BIM are proposed according to the research results.

Suggested Citation

  • Fuping Zhou & Jiayuan Wang & Gejing Shang & Jingya Li, 2021. "Research on the Efficiency of 3D Collaborative Design Based on P-BIM Cloud Platform," Springer Books, in: Fenjie Long & Sheng Zheng & Yuzhe Wu & Gangying Yang & Yan Yang (ed.), Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, pages 747-762, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-3977-0_57
    DOI: 10.1007/978-981-15-3977-0_57
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-981-15-3977-0_57. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.