基于工程数据的建筑物构件提取方法与应用分析

随着智慧城市的不断发展,建筑三维模型及其应用研究也从建筑外表层深入到建筑内部环境中。建筑工程数据包含了建筑设计施工阶段中丰富的建筑构件信息,是建筑建模和应用分析的良好数据源。目前,建筑工程数据可划分为非结构化数据、半结构化数据和结构化数据3类。本文从识别方法、提取内容和应用目标等方面对非结构化和结构化的建筑工程数据提取方法进行了分析,并结合国家标准和行业软件对半结构化数据的图层规范和几何图元特征进行研究。半结构化数据在我国建筑信息化现状下具有极大的应用优势,必将成为智慧城市中建筑物数据库建设的重要数据源。

Analysis of Methods for Building Components Information Extraction Based on Engineering Data

Building is an important part of city. With the development of Smart City, 3D building model and its applications are going further from the external into the internal environment. Building engineering data contain rich information about building components throughout architecture design and construction process. They are good sources for building modeling and related applications. In this paper, building engineering data are divided into unstructured data, semi-structured data and structured data according to the data development status. The research status of information extraction from unstructured data and structured data are summarized from different aspects, including object recognition methods, extracted contents and application aims. Furthermore, the specification of layers and geometric primitive features for semi-structured data are studied based on the national and industry standards. In conclusion, the standardized layer information reduces the complexity of semi-structured data and assists the process of object recognition and information extraction. With its abundant sources and lower complexity, semi-structured data is becoming an important data source for the construction of building database in Smart City.