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October 16, 2025Applied and Computational Engineering2 citationsOpen Access

Research on the Application of Smart Construction Site in Safety Management of Engineering Construction

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YWYifei Wang

Key Points

  • Smart construction sites improve safety management, reducing accident rates by over 30%.
  • Real-time perception and intelligent early warning systems are core features of the studied construction framework.
  • The research identifies gaps in system integration and data analysis in the current smart construction models.
  • Future advancements in technology integration and standard establishment are crucial for effective safety management.

Abstract

With the rapid advancement of urbanization in China, traditional construction safety management models struggle to adapt to complex environments, leading to frequent accidents. Smart construction sites, centered on IoT, big data, artificial intelligence, and BIM technologies, provide a new path for realizing the digital and intelligentization transformation of engineering safety management. This paper analyzes the research background and current status of smart construction sites, points out their deficiencies in system integration and in-depth Data Analysis, elaborates on key technical supports, and constructs a system framework covering the resources layer, integration layer, application layer, and presentation layer, aiming to improve safety, eiciency, quality, collaboration, and green construction. Case applications show that the system can achieve real-time perception and intelligent early warning, promote the transformation of safety management from post-accident accountability to pre-accident prevention, and reduce the accident rate by more than 30%. Finally, the future development of smart construction sites in terms of technology integration, algorithm optimization, cost control, and standard establishment is prospected. This research provides theoretical reference and practical guidance for the in-depth application of smart construction sites.

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Cite This Study

Yifei Wang (2025) studied this question.

synapsesocial.com/papers/68f04918e559138a1a06d63ahttps://doi.org/10.54254/2755-2721/2025.gl27811
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