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基于键-值缓存的IFC模型Web应用技术

清华大学 辅仁网/2017-07-07

基于键-值缓存的IFC模型Web应用技术
刘强, 张建平, 胡振中
清华大学 土木工程系, 北京 100084
Key-value cache based IFC model implementation for web environments
LIU Qiang, ZHANG Jianping, HU Zhenzhong
Department of Civil Engineering, Tsinghua University, Beijing 100084, China

摘要:

输出: BibTeX | EndNote (RIS)
摘要近年来,基于工业基础类(IFC)标准的建筑信息模型(BIM)应用技术得到快速发展,但现有的技术和方法难以支持面向互联网的IFC模型对象传输和查询等应用。为实现IFC模型在Web中的应用,该文使用JSON格式建立了一种面向网络的IFC对象模型,使用分布式的键-值存储系统Redis建立了IFC数据的高速缓存,并基于以上对象模型和缓存技术提出了IFC数据的分步、动态解析方法,实现了大容量IFC数据的轻量化、标准化的网络传输和高速动态解析。验证表明:该模型和技术可以支持面向互联网的BIM应用,并且能够大幅提升IFC数据文件的解析效率,可将大容量(超过30 MB)IFC文件的解析速度提升1倍以上,具有较高的使用价值和应用前景。
关键词 工业基础类(IFC)标准,建筑信息模型(BIM),键-值缓存,数据解析,模型轻量化
Abstract:Industry foundation class (IFC) based building information modeling (BIM) systems has developed rapidly in recent years. However, there are still few methods and tools supporting web-oriented transmissions and queries of IFC model data. This paper describes a web-enabled IFC object model using the JSON format and the IFC data cache with the Redis distributed key-value store for IFC applications in web environment. Stepwise and dynamic parsing of the IFC data enables lightweight, standardized network data transmission with large-capacity, high-speed dynamic parsing of the IFC data. Tests show that the object model and the parsing method are able to support web BIM applications and significantly enhance the efficiency of parsing IFC data files, with double the parsing speed of large (over 30 MB) IFC files.
Key wordsindustry foundation class (IFC)building information modeling (BIM)key-value cachedata parsinglightweight model
收稿日期: 2015-08-27 出版日期: 2016-05-09
ZTFLH:TU17
通讯作者:张建平,教授,E-mail:zhangjp@mail.tsinghua.edu.cnE-mail: zhangjp@mail.tsinghua.edu.cn
引用本文:
刘强, 张建平, 胡振中. 基于键-值缓存的IFC模型Web应用技术[J]. 清华大学学报(自然科学版), 2016, 56(4): 348-353,359.
LIU Qiang, ZHANG Jianping, HU Zhenzhong. Key-value cache based IFC model implementation for web environments. Journal of Tsinghua University(Science and Technology), 2016, 56(4): 348-353,359.
链接本文:
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2016.24.002 http://jst.tsinghuajournals.com/CN/Y2016/V56/I4/348


图表:
图1 IfcOrganization的EXPRESS定义
图2 自定义类型的IFC对象模型
图3 EXPRESS字典结构
图4 JSON 格式的IfcOrganization对象
表1 IFC对象模型的对比
图5 基于Redis的IFC初步解析
图6 基于Redis的IFC对象深入解析
表2 IFC解析测试算例数据
图7 IFC解析时间对比


参考文献:
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