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This study adopts a hybrid data-model-driven approach with a focus on structural safety monitoring and early warning for hazard-prone construction projects. For tower cranes, research was conducted on Internet of Things (IoT)-based monitoring, structural dynamic response analysis, and response prediction for early warning. For high-formwork support systems, studies were carried out on computer vision-based monitoring, dynamic updating of monitoring and warning thresholds, and short-term response prediction. The main innovations are summarized as follows.

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Conclusions and Future Perspectives

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Qiang Li,
  • Peixuan Wang,
  • Bawar Iftikhar,
  • Yan Jiang,
  • Mingfeng Huang

摘要

This study adopts a hybrid data-model-driven approach with a focus on structural safety monitoring and early warning for hazard-prone construction projects. For tower cranes, research was conducted on Internet of Things (IoT)-based monitoring, structural dynamic response analysis, and response prediction for early warning. For high-formwork support systems, studies were carried out on computer vision-based monitoring, dynamic updating of monitoring and warning thresholds, and short-term response prediction. The main innovations are summarized as follows.