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基于 IFC 标准的楼层平面尺寸标注 自动生成方法研究

  

  1. (上海交通大学土木工程系,上海 200240)
  • 出版日期:2019-12-31 发布日期:2020-01-20
  • 基金资助:
    “十三五”国家重点研发计划项目(2016YFC0702000);“十三五”国家重点研发计划课题(2016YFC0702001)

Automatic Generation Method of Dimension Annotating for  Floor Plane Based on IFC Standard

  1. (Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)
  • Online:2019-12-31 Published:2020-01-20

摘要: 在 BIM 协同应用中,二维信息在模型空间布置和构件平面尺寸表达等方面具有重 要作用。由于当前不同专业模型难以集成后统一标注,采用 IFC 标准表达二维信息可有效解决 这一问题。为提高 BIM 构件定位与尺寸的查看效率,提出基于 IFC 标准的二维尺寸标注自动生 成方法。首先研究被标注对象的几何和空间位置信息的提取、分类、转换和存储机制,由此推 导楼层中所有被标注对象的尺寸标注信息。然后研究 IFC 标准中尺寸标注实体的空间定位和形 状表达机制,生成尺寸标注实体并将其关联到被标注对象。最后通过一个两层楼案例,验证该 方法的正确性。

关键词:  , IFC 标准, 二维图纸, BIM 技术, 尺寸标注, 自动生成

Abstract: In the collaborative application of building information modeling (BIM) technology, 2D drawing information plays a significant role in establishing the spatial layout of the modeling and representing the size information of components. In addition the representation of 2D dimension information based on IFC standard overcomes the difficulty that the dimension annotation for 3D models of different industries cannot be conducted using an integrated BIM software tool. In order to examine the space layout and size information of BIM components in a more efficient way, this paper proposes a method to automatically generate 2D dimension annotations for 3D models based on IFC standard. Firstly, the extraction, classification, transformation and storage mechanism of geometric and spatial position information for building components on the same floor is developed. Secondly, the dimension information of all annotated components in the floor is obtained. Then, combined with the space orientation and shape representation of annotated entities based on IFC standard, 2D dimension annotated entities are established and linked with the annotated components. Finally, the proposed method is verified with a two-story building case.

Key words: IFC standard, 2D drawing, BIM technology, dimension marking, automatic generation