摘要
近年来,国内外对BIM技术在建筑行业中的应用越来越重视,BIM已成为未来建筑行业技术的发展趋势。作为BIM实施的第一步,BIM模型的创建对BIM的成功应用和推广具有重要的意义。IFC数据标准作为国际通用的BIM基础数据格式,可以使以IFC标准格式形成的BIM模型,在多种AEC工程软件中进行信息传递及交换。当前,不同的软件对IFC格式的支持范围及支持程度各不相同。本文针对Building SMART的Coordination View Certification 2.0项目中对当前主流BIM软件的IFC2X3支持情况的统计,进行了整理与分析,得出面向IFC的BIM建模软件选择方案,为不同特点的项目BIM应用提供软件参考,从而促进IFC标准的发展以及BIM技术的普及。
In recent years,the applications of BIM technology in the construction industry has attracted increasing domestic and international attentions,which is definitely becoming the future trend of construction technology. As the first step in BIM implementation,the creation of the BIM model is of great significance to the successful application and promotion of BIM. The IFC data criterion,as an international common BIM basic data format,enables the BIM model following such IFC format to transfer and exchange information among different AEC engineering software. However,different software currently support the IFC formats at different scopes and for different degrees.This paper collates and analyzes the IFC2 X3 support statistics in the current mainstream BIM software of Coordination View Certification 2. 0 project in Building SMART,and obtains a BIM modeling software selection method based on the IFC certification,providing a software reference for BIM applications with different project characteristics,and promoting the development of IFC criterions and the popularity of BIM technology.
作者
蒋中行
徐旻洋
胡珉
王国俭
Jiang Zhonghang;Xu Minyang;Hu Min;Wang Guojian(Arcplus Group PLC, Shanghai 200041, China;Huajian Shuchuang (Shanghai) Technology Co., Ltd., Shanghai 200070, China;Joint Research Center for Building Industrialization of SHU and SUCG, Shanghai 200072, China;SHU- UTS SLIC Business School, Shanghai University, Shanghai 201800, China)
出处
《土木建筑工程信息技术》
2018年第1期1-8,共8页
Journal of Information Technology in Civil Engineering and Architecture
基金
临港地区智能制造产业专项项目"基于BIM GIS城市大数据计算平台的智慧临港应用示范(子项目01)"(编号:ZN2016020103-1)
关键词
BIM建模软件
协同视图认证
软件选择
BIM Modeling Software
Coordination View Certification
Software Selection