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<p>This study proposes an end-to-end replicable digital preservation solution for the Jinshanling Great Wall, covering the full life cycle from production to implementation. Rooted in the “technology-culture-education” philosophy, a comprehensive Extended Reality system was developed by integrating Virtual Reality, Augmented Reality, and Mixed Reality with ancient architectural cultural heritage tourism and preservation. Through multi-round iterative optimization, the system has achieved hierarchical high-precision acquisition and modeling for the digital preservation of cultural heritage. Data acquisition accuracy ≤± 1.5 mm, geometric modeling accuracy ≤± 2.0 mm, runtime positioning accuracy ≤± 3.0 mm, and a single object model in the scene has more than 50,000 faces. Core technological innovations include: a customized EFOV method for VR panoramic stitching, an optimized point cloud precision formula for AR reconstruction, and a Simultaneous Localization and Mapping -based MR framework enabling bidirectional virtual-real interaction. A near-comprehensive heritage database and full-process (site selection-analysis-implementation) XR preservation solution were finalized.</p>

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Research on VR/AR/MR digital technologies and narratives of the Jinshanling Great Wall

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月6日

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  • Shulan Wang,
  • Wenbo Ye,
  • Ziying Wang,
  • Siyu Liu

摘要

This study proposes an end-to-end replicable digital preservation solution for the Jinshanling Great Wall, covering the full life cycle from production to implementation. Rooted in the “technology-culture-education” philosophy, a comprehensive Extended Reality system was developed by integrating Virtual Reality, Augmented Reality, and Mixed Reality with ancient architectural cultural heritage tourism and preservation. Through multi-round iterative optimization, the system has achieved hierarchical high-precision acquisition and modeling for the digital preservation of cultural heritage. Data acquisition accuracy ≤± 1.5 mm, geometric modeling accuracy ≤± 2.0 mm, runtime positioning accuracy ≤± 3.0 mm, and a single object model in the scene has more than 50,000 faces. Core technological innovations include: a customized EFOV method for VR panoramic stitching, an optimized point cloud precision formula for AR reconstruction, and a Simultaneous Localization and Mapping -based MR framework enabling bidirectional virtual-real interaction. A near-comprehensive heritage database and full-process (site selection-analysis-implementation) XR preservation solution were finalized.