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

Binyuan Yang

Pinnacle Academic Press Proceedings Series, 2026, vol. 10, 289-296

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.

Keywords: intelligent construction; urban renewal; green buildings; building retrofit; sustainable development; digital technology (search for similar items in EconPapers)
Date: 2026
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