Design and Application of Intelligent Construction Quality Inspection System Based on BIM-RFID

Building information modeling (BIM) and radio-frequency identification (RFID) technologies can assist with problems in the construction quality inspection process, such as difficulties with the intelligent positioning of components, data replication, and insufficient feedback information during rewo...

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Bibliographic Details
Main Authors: Hai’e Huo, Yanhong Ji, Kuihua Xie, Yu Lu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2023/5638265
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Summary:Building information modeling (BIM) and radio-frequency identification (RFID) technologies can assist with problems in the construction quality inspection process, such as difficulties with the intelligent positioning of components, data replication, and insufficient feedback information during rework and maintenance. A novel technology BIM-FRID-integration is competent for multiparticipant information sharing in construction sector by collecting, transmitting and processing the quality defect information found in the construction process. In this study, an intelligent positioning inspection system to ensure building quality was developed using leading BIM software (Autodesk Revit in a Microsoft Visual Studio environment) and RFID handheld terminal devices. To verify the effectiveness of the framework proposed in this paper, the system was applied to a practical project, and its modeling, unique identifier (UID) components, and other information generation and export processes were analyzed. The results demonstrated that the BIM-RFID-integrated building quality intelligent inspection system proposed in this paper could realize the correlation and interaction between the BIM model and the entity component information as well as accurately locate any components with quality problems and provide quick feedback of quality inspection information and visual construction annotation disclosures.
ISSN:1687-8094