An Automatic Attribute Data Encoding Method for Prefabricated Structural Elements

Y. J. Zhang*, S. Tang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

With the advocation of green building, prefabricated construction (PC) has become an emerging technology in the Architecture, Engineering & Construction (AEC) industry. Prefabricated components have much helpful information that must be exchanged and stored. Building Information Modeling (BIM) tools offer robust database systems for the components’ information. But encoding the data into BIM database is manual and error-prone. Current research concentrates on the three-dimensional analysis of PC model. The intelligent management of PC information in the design to construction phases is neglected. An automatic attribute data encoding method for prefabricated elements was developed using Revit, C#, and Excel to optimize the workflow and prevent inaccurate manual information input. By this means, the intelligent management of prefabricated components will be enhanced while mitigating manual risks.

Original languageEnglish
Title of host publicationTowards a Carbon Neutral Future - The Proceedings of The 3rd International Conference on Sustainable Buildings and Structures
EditorsKonstantinos Papadikis, Cheng Zhang, Shu Tang, Engui Liu, Luigi Di Sarno
PublisherSpringer Science and Business Media Deutschland GmbH
Pages541-549
Number of pages9
ISBN (Print)9789819979646
DOIs
Publication statusPublished - 2024
Event3rd International Conference on Sustainable Buildings and Structures, ICSBS 2023 - Suzhou, China
Duration: 17 Aug 202320 Aug 2023

Publication series

NameLecture Notes in Civil Engineering
Volume393
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference3rd International Conference on Sustainable Buildings and Structures, ICSBS 2023
Country/TerritoryChina
CitySuzhou
Period17/08/2320/08/23

Keywords

  • Building information modeling
  • Data encoding
  • Intelligent management
  • Prefabricated construction

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