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<p>In response to the safety hazards and various collision risks inherent in traditional transmission line tension stringing construction, this paper proposes a 3D real-scene simulation method for tension stringing based on the integration of laser point cloud data and building information modeling (BIM). First, the accuracy of terrain point cloud extraction under different topographic conditions was compared and analyzed using Cloth Simulation Filter (CSF), Slope-Based Filter, and Mathematical Morphological Filter algorithms. Second, an improved K-Means algorithm was applied to cluster voxel centers, enabling high-precision extraction of individual transmission tower point clouds. Finally, BIM technology was utilized to construct a digital 3D real-scene model on a virtual prototype, simulating the on-site tension stringing process. Validation results from a case study on a specific transmission line demonstrated that the simulation system achieves a tension calculation error of less than 5%, and effectively enables automatic detection of safe clearance distance and analysis of hazardous points during construction. This research provides a novel technical pathway for achieving precision, visualization, and enhanced safety control in the tension stringing process of transmission lines.</p>

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A laser point cloud and BIM-integrated simulation method for tension stringing of transmission lines

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月5日

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  • Haowei Situ,
  • Lianglin Chen,
  • Haomiao Xin,
  • Baoguo Li,
  • Xiaobin Li

摘要

In response to the safety hazards and various collision risks inherent in traditional transmission line tension stringing construction, this paper proposes a 3D real-scene simulation method for tension stringing based on the integration of laser point cloud data and building information modeling (BIM). First, the accuracy of terrain point cloud extraction under different topographic conditions was compared and analyzed using Cloth Simulation Filter (CSF), Slope-Based Filter, and Mathematical Morphological Filter algorithms. Second, an improved K-Means algorithm was applied to cluster voxel centers, enabling high-precision extraction of individual transmission tower point clouds. Finally, BIM technology was utilized to construct a digital 3D real-scene model on a virtual prototype, simulating the on-site tension stringing process. Validation results from a case study on a specific transmission line demonstrated that the simulation system achieves a tension calculation error of less than 5%, and effectively enables automatic detection of safe clearance distance and analysis of hazardous points during construction. This research provides a novel technical pathway for achieving precision, visualization, and enhanced safety control in the tension stringing process of transmission lines.