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To achieve rapid and efficient transformation between 2D and 3D designs for safety-class Distributed Control System (DCS), a transformation algorithm between 2D drawings and 3D models has been developed. By analyzing the spatial arrangement characteristics of components inside the cabinet and considering the installation structure features of DCS, the algorithm establishes a hierarchical coordinate transformation methodology through progressive coordinate relationship analysis. This integrates to form a 2D-to-3D coordinate transformation model that achieves high-precision mapping between the two design formats. The model effectively handles coordinate transformation requirements for different types of components while ensuring design data consistency. The method has been applied to safety-class DCS for ACP1000 ZhangZhou nuclear power plant unit 2 and has practical engineering value. This algorithm serves as the theoretical foundation for software-enabled automatic 3D model generation.

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Research on Dimensional Transformation Model for Nuclear Safety-Class DCS

  • 会议论文

  • 发表日期：

    2025年

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  • Xu Zhang,
  • Die Hu,
  • Jing-hua Yang,
  • Qing-xiang Wang

摘要

To achieve rapid and efficient transformation between 2D and 3D designs for safety-class Distributed Control System (DCS), a transformation algorithm between 2D drawings and 3D models has been developed. By analyzing the spatial arrangement characteristics of components inside the cabinet and considering the installation structure features of DCS, the algorithm establishes a hierarchical coordinate transformation methodology through progressive coordinate relationship analysis. This integrates to form a 2D-to-3D coordinate transformation model that achieves high-precision mapping between the two design formats. The model effectively handles coordinate transformation requirements for different types of components while ensuring design data consistency. The method has been applied to safety-class DCS for ACP1000 ZhangZhou nuclear power plant unit 2 and has practical engineering value. This algorithm serves as the theoretical foundation for software-enabled automatic 3D model generation.