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Key Technology Study for Automatic Generation of Rail Transit BIM Pipe Fittings
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Dixian YIN1, Xueyuan DENG1, 2, Kun LU1
Urban Rapid Rail Transit | 2024, 37(4) : 65 - 71
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Urban Rapid Rail Transit | 2024, 37(4): 65-71
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Key Technology Study for Automatic Generation of Rail Transit BIM Pipe Fittings
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Dixian YIN1, Xueyuan DENG1, 2, Kun LU1
Affiliations
  • 1 School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai 200240
  • 2 Building Information Modeling Research Center Shanghai Jiao Tong University Shanghai 200240
doi: 10.3969/j.issn.1672-6073.2024.04.010
Outline
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This paper proposes an automated method for generating parametric BIM pipe fittings to tackle the complexity of urban rail transit pipelines and reduce the reliance on manual intervention for generating 3D models. The method addresses the challenge of accurately determining the start and end coordinates of pipelines due to irregularities during the drawing stage. The proposed approach employs spatial vector operations to automatically identify the types of fittings (such as elbows, tees, and crosses) required between two, three, and four pipelines based on the centerline coordinates of straight pipes. It then calculates the shape and positional parameters of these fittings by referencing standard dimension tables. The model is expressed using industry foundation classes (IFC), and the implementation leverages the C++ language to achieve the automatic generation of models. Verification of the method demonstrates significant improvements in efficiency and automation in the generation of piping models.

urban rail transit  /  pipeline 3D models  /  automatic generation  /  pipe fitting  /  IFC  /  BIM
Dixian YIN, Xueyuan DENG, Kun LU. Key Technology Study for Automatic Generation of Rail Transit BIM Pipe Fittings[J]. Urban Rapid Rail Transit, 2024 , 37 (4) : 65 -71 . DOI: 10.3969/j.issn.1672-6073.2024.04.010
Year 2024 volume 37 Issue 4
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Article Info
doi: 10.3969/j.issn.1672-6073.2024.04.010
  • Receive Date:2024-01-23
  • Online Date:2025-07-09
Article Data
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History
  • Received:2024-01-23
  • Revised:2024-03-26
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    1 School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai 200240
    2 Building Information Modeling Research Center Shanghai Jiao Tong University Shanghai 200240
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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