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图学学报

• 智能设计与数字化设计 • 上一篇    下一篇

基于 IFC 的室内地图模型构建研究

  

  1. 1. 北京建筑大学电气与信息工程学院,北京 100044; 
    2. 北京市首都公路发展集团有限公司,北京 100161;
    3. 中国人民大学信息学院,北京 100872; 
    4. 盈嘉互联(北京)科技有限公司,北京 100041
  • 出版日期:2019-02-28 发布日期:2019-02-27
  • 基金资助:
    国家自然科学基金项目(71601013);北京市自然科学基金项目(4174087);北京市教委面上项目(SQKM201710016002);北京市建筑大学建 大英才项目

Research on the Construction of Indoor Map Model Based on IFC

  1. 1. School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 
    2. Beijing Capital Highway Development Group Co. Ltd., Beijing 100161, China; 
    3. School of Information, Renmin University of China, Beijing 100872, China; 
    4. BIM Winner (Beijing) Technologies Co. Ltd., Beijing 100041, China
  • Online:2019-02-28 Published:2019-02-27

摘要: 室内地图构建属于一项基础性研究,可为导航、疏散等建筑室内智能化应用提供 数据与技术支持。室内环境的复杂性,存在信息提取耗时且成本高,提取的室内信息不完整等 问题,而已有的室内地图模型通常体量庞大,数据复杂且冗余严重,实用性较低。为此,将 BIM 技术与室内地图研究相结合,以 BIM 通用交互格式工业基础类(IFC)文件为数据源,提取几何 与语义信息,提出一种室内地图模型的构建方法。内分类定义地图节点,完成对建筑室内信息 的抽象表达;通过设置阈值来简化地图中节点数量以达到模型的优化。该模型中可导入经典寻 路算法生成最短路径,并且设计路径优化方法。

关键词: 工业基础类, 室内地图, 节点选取, 路径优化

Abstract: Indoor map model construction is a basic research, which can provide data and technical support for indoor intelligent applications such as indoor navigation, emergency evacuation, and robot services. Traditional indoor information extraction methods are time-consuming and costly, and the extracted indoor information is usually incomplete. In the existing indoor map research, the model usually has a large volume, the data is complex and the redundancy is serious, and the application rate is low. With the development of BIM technology and the advancement of national policies, this study provides new ideas for indoor map model research. The paper combines BIM technology with indoor map model research, using BIM universal interactive format (industry foundation classes) IFC file as data source to extract geometric and semantic information and puts forward a new construction method of indoor map model. By defining three types of nodes in the model, the abstract expression of the internal information of the building monolayer is completed. Using the idea of node normalization, set the threshold to simplify the number of nodes in the indoor topology network and achieve the purpose of optimizing the indoor map model. In the indoor map model, the shortest path can be generated by the classic path finding algorithm, and the design algorithm will realize the path optimization.

Key words:  industry foundation classes (IFC), indoor map, node selection, path optimization