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Smart Construction Site Management System Based on BIM

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DOI: 10.23977/infse.2025.060209 | Downloads: 4 | Views: 217

Author(s)

Yuan Zhang 1

Affiliation(s)

1 Guangzhou City University of Technology, School of Civil Engineering, Guangzhou, Guangdong, 510800, China

Corresponding Author

Yuan Zhang

ABSTRACT

Zhuhai Port Project of Hong Kong-Zhuhai-Macao Bridge is the key node of "Super Project". During the construction of 1.07 million square meters artificial island, it faced complicated supervision and management problems. Huagong Supervision takes BIM technology as the core driving force to create a model of smart site management. In terms of technical application, using Revit software to create a three-dimensional model and realize the deepening design of special-shaped structures, the amount of on-site cutting is reduced by 37% and the construction period is shortened by 18 days; With the help of 4D dynamic monitoring system, the accuracy of construction progress control is improved by 80%; By means of stress simulation and stress monitoring, the safety risk of high formwork was pre-controlled, and the rectification rate of hidden dangers decreased from 62% to 9%. From the perspective of management efficiency, the multi-party collaborative platform shortens the design change cycle by 72%, the "BIM+measured quantity" method improves the qualified rate of concrete components to 98%, and the completed BIM model saves more than 8 million yuan for operation and maintenance. Aiming at the problem of insufficient construction capacity and inconsistent data standards, it is solved by "BIM+QR code" technology and compiling interactive standards. Practice has proved that BIM technology has formed a "data-driven collaborative governance" model by integrating the data of design, construction and supervision.

KEYWORDS

BIM; Smart Construction Site; Management System; Construction Progress

CITE THIS PAPER

Yuan Zhang, Smart Construction Site Management System Based on BIM. Information Systems and Economics (2025) Vol. 6: 65-70. DOI: http://dx.doi.org/10.23977/infse.2025.060209.

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