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The Application of Intelligent Construction Technology to Modern Wood Structures in China: A Critical Review

Autor(en):







Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Buildings, , n. 4, v. 15
Seite(n): 535
DOI: 10.3390/buildings15040535
Abstrakt:

This paper explores the current application status and development trends of intelligent construction technologies in modern timber structures in China. By using VOSviewer software for bibliometric analysis, the research focused on three key areas: BIM technology, machine vision, and lifecycle information management. The study found that BIM technology has significantly improved the design accuracy and construction efficiency of timber buildings through 3D visualization, parametric design, and interdisciplinary collaboration. Machine vision technology enhances the quality control and damage assessment efficiency through automation. Lifecycle information management promotes the sustainable development of timber buildings in line with carbon neutrality goals. The paper further analyzes the challenges and difficulties of applying intelligent construction technologies to modern timber structures and proposes the development of technology solutions tailored to the characteristics of timber structures, including deepening the integration with environmental science and urban planning and enhancing user feedback optimization. These studies provide new perspectives for the intelligent and low-carbon development of timber buildings and offer support for achieving sustainability goals and carbon neutrality.

Copyright: © 2025 by the authors; licensee MDPI, Basel, Switzerland.
Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10820637
  • Veröffentlicht am:
    11.03.2025
  • Geändert am:
    11.03.2025
 
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