IDEAS home Printed from https://ideas.repec.org/a/dba/pappsa/v10y2026ip289-296.html

Intelligent Construction Technology Integration for Green Transformation of Existing Buildings in Urban Renewal

Author

Listed:
  • Yang, Binyuan

Abstract

As China's urbanization process enters a new stage, urban renewal has become a key pathway for promoting sustainable urban development and improving the quality of the built environment. The green transformation of existing buildings, as a core component of urban renewal, faces prominent challenges such as low construction efficiency, high disturbance to occupants, and difficulties in coordinating multiple stakeholders and complex building systems. These issues urgently require the support of intelligent construction technologies and new construction models. This paper focuses on the integration of intelligent construction technology with the green transformation of existing buildings, with the aim of constructing a systematic and operable technical framework. First, core concepts such as intelligent construction, urban renewal, and green transformation are clarified, and the research foundation is established based on sustainable development theory, systems engineering, and life-cycle thinking. Second, by analyzing the current application status of technologies such as building information modeling, the Internet of Things, and big data in urban renewal projects, the paper systematically elaborates a full-chain technical system covering digital surveying, intelligent design, construction management, and energy-saving operation and monitoring. The study highlights how intelligent technologies enhance reconstruction accuracy, reduce resource and energy consumption, shorten construction periods, and optimize building performance. Finally, the proposed technical system provides theoretical support and practical guidance for the green renovation of existing buildings driven by intelligent construction, offering important reference value for promoting green, low-carbon, and high-quality urban development.

Suggested Citation

  • Yang, Binyuan, 2026. "Intelligent Construction Technology Integration for Green Transformation of Existing Buildings in Urban Renewal," Pinnacle Academic Press Proceedings Series, Pinnacle Academic Press, vol. 10, pages 289-296.
  • Handle: RePEc:dba:pappsa:v:10:y:2026:i::p:289-296
    as

    Download full text from publisher

    File URL: https://pinnaclepubs.com/index.php/PAPPS/article/view/657/635
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:dba:pappsa:v:10:y:2026:i::p:289-296. 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: Joseph Clark (email available below). General contact details of provider: https://pinnaclepubs.com/index.php/PAPPS .

    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.