融合IFC语义信息与几何相似性的BIM构件实例信息提取方法

doi:10.13474/j.cnki.11-2246.2024.0517

测绘通报 ›› 2024, Vol. 0 ›› Issue (5): 96-102.doi: 10.13474/j.cnki.11-2246.2024.0517

融合IFC语义信息与几何相似性的BIM构件实例信息提取方法

贺彪^1,2,3, 唐骜巍^1,2,3, 蒯希^1,2,3, 徐海^1,2,3, 肖佳栋^1,2,3

1. 深圳大学建筑与城市规划学院智慧城市研究院, 广东深圳 518060;
2. 自然资源部城市国土资源监测与仿真重点实验室, 广东深圳 518060;
3. 深圳市城市数字孪生技术重点实验室, 广东深圳 518060

收稿日期:2023-09-21 发布日期:2024-06-12
通讯作者: 蒯希。E-mail:kuaixi@szu.edu.cn
作者简介:贺彪(1983—),男,博士,副教授,研究方向为智慧城市信息平台技术、三维空间数据处理与分析、BIM数据融合处理。E-mail:hebiao@szu.edu.cn
基金资助:
自然资源部城市国土资源监测与仿真重点实验室开放基金(KF-2021-06-123);国家重点研发计划(2022YFC3800604)

An approach for extracting BIM component instance information integrating IFC semantic data and geometric similarity

HE Biao^1,2,3, TANG Aowei^1,2,3, KUAI Xi^1,2,3, XU Hai^1,2,3, XIAO Jiadong^1,2,3

1. Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen 518060, China;
2. Key Laboratory of Urban Land and Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518060, China;
3. Shenzhen Key Laboratory of Digital Twin Technologies for Cities, Shenzhen 518060, China

Received:2023-09-21 Published:2024-06-12

摘要/Abstract

摘要： 建筑信息模型(BIM)能够对建筑结构、部件组成及其业务语义属性进行准确表达,在智慧城市时空底板建设及建筑物“规、建、养、运”全生命周期数字化管理中发挥着重要的作用。BIM模型的数量级大、引用关系与层级结构复杂,增加了BIM构件实例信息的提取难度,从而导致目前的CIM平台难以直接利用BIM构件实例信息实现轻量化的数据传输、流畅的可视化及BIM分析计算。针对此问题,本文提出了一种融合IFC语义信息与几何相似性的BIM构件实例信息提取方法,在充分考虑IFC几何引用语义信息的基础上,使用ICP算法和豪斯多夫距离计算几何相似性,实现对BIM构件实例信息的精确提取;此外,还针对BIM场景中常见的拉伸体构件,提出了一种基于特殊拉伸体的实例信息快速提取方法;最后选取了5个不同BIM专业的试验示例数据进行详尽分析。试验结果显示,本文提出的BIM构件实例信息提取方法在各种示例数据中的文件平均压缩率为29.79%,能够显著地减小文件体积;在BIM构件实例信息提取能力方面,实现了79.41%的平均构件实例化率及22.47%的平均实体压缩率,且每个实例化构件平均包含的子构件数量高达49.24。本文方案可以充分提取IFC文件中的BIM构件实例信息,能够为海量BIM模型的轻量化提供强有力的技术支撑。

关键词: 智慧城市, BIM轻量化, 几何相似性, IFC语义信息, 实例化

Abstract: Building information modeling (BIM) accurately captures architectural structures,component compositions,and semantic attributes. It plays a crucial role in the digital management of smart cities' spatiotemporal frameworks and the entire building lifecycle,including planning,construction,maintenance,and operation. However,the massive data scale,complex reference relationships,and hierarchical structures of BIM models present challenges in extracting component instance information,hindering lightweight data transmission,seamless visualization,and BIM analysis within current city information modeling (CIM) platforms.To address this issue,we introduce an innovative approach that combines IFC semantics with geometric similarity. Utilizing ICP and the Hausdorff distance metric,we attain a high level of precision in extracting BIM component instances. Furthermore,we present a specialized method tailored to the extraction of common extruded components. Our comprehensive evaluation,encompassing five diverse BIM disciplines,demonstrates exceptional results,including a 29.79% reduction in file sizes,a 79.41% component instantiation rate,and a 22.47% solid compression rate. Impressively,each instantiated component encompasses an average of 49.24 sub-components. Our method excels in extracting IFC-based BIM component instances,facilitating the efficient transformation of extensive models.

Key words: smart city, BIM lightweighting, geometric similarity calculation, IFC semantic information, instance

中图分类号:

P208

贺彪, 唐骜巍, 蒯希, 徐海, 肖佳栋. 融合IFC语义信息与几何相似性的BIM构件实例信息提取方法[J]. 测绘通报, 2024, 0(5): 96-102.

HE Biao, TANG Aowei, KUAI Xi, XU Hai, XIAO Jiadong. An approach for extracting BIM component instance information integrating IFC semantic data and geometric similarity[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 96-102.

参考文献

[1] 许镇,吴莹莹,郝新田,等.CIM研究综述[J].土木建筑工程信息技术,2020,12(3):1-7.
[2] 郭仁忠,林浩嘉,贺彪,等. 面向智慧城市的GIS框架[J]. 武汉大学学报(信息科学版),2020,45(12): 1829-1835.
[3] LIU A H,ELLUL C,WIDERSKA M. Decision making in the 4th dimension:exploring use cases and technical options for the integration of 4D BIM and GIS during construction[J].ISPRS International Journal of Geo-Information,2021,10(4): 203.
[4] 朱庆,张利国,丁雨淋,等. 从实景三维建模到数字孪生建模[J]. 测绘学报,2022,51(6): 1040-1049.
[5] CHEN Q,CHEN J,HUANG W. Visualizing large-scale building information modeling models within indoor and outdoor environments using a semantics-based method[J]. ISPRS International Journal of Geo-Information,2021,10(11): 756.
[6] ZHAN W,CHEN Y,CHEN J. 3D tiles-based high-efficiency visualization method for complex BIM models on the web[J]. ISPRS International Journal of Geo-Information,2021,10(7): 476.
[7] 张少锦,张惠宇,王晓晶.BIM轻量化管理技术研究综述[J].土木建筑工程信息技术,2023,15(6):117-122.
[8] SAM A,ABBAS R,PRIYAN M,et al. A BIM-GIS integration method in support of the assessment and 3D visualisation of flood damage to a building[J]. Journal of spatial science,2016,61(2):1-34.
[9] TOLMER C E,CaASTAING C,DIAB Y,et al. CityGML and IFC: going further than LOD[C]//Proceedings of 2013 Digital Heritage International Congress (DigitalHeritage). [S.l.]:IEEE,2013.
[10] SUN J,LIU Y,GAO G,et al. IFCCompressor: a content-based compression algorithm for optimizing industry foundation classes files[J]. Automation in Construction,2015,50:1-15.
[11] XU H,KIM J I,CHEN J. An iterative reference mapping approach for BIM IFCXML classified content compression[J]. Advanced Engineering Informatics,2022,54: 101788.
[12] 李泽宇,赵志刚,万远,等. 面向BIM构件实例模型的层次聚类方法研究[J]. 测绘科学,2023,48(3): 146-154.
[13] 周杨,胡校飞,靳彩娇,等. 图形图像融合的海量建筑绘制[J]. 中国图象图形学报,2018,23(7): 1072-1080.
[14] 袁思林. 面向Web端的建筑信息模型轻量化展示研究[D].西安:西安电子科技大学,2022.
[15] JOHANSSON M,ROUPÉ M,BOSCH-SIJTSEMA P. Real-time visualization of building information models (BIM)[J]. Automation in Construction,2015,54:69-82.
[16] LIU X,XIE N,TANG K,et al. Lightweighting for Web3D visualization of large-scale BIM scenes in real-time[J]. Graphical Models,2016,88:40-56.
[17] 陈前,王玮. BIM模型轻量化及三维显示关键技术研究[J]. 广东土木与建筑,2022,29(5): 1-5.
[18] KIM J,LI K. Simplification of geometric objects in an indoor space[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2019,147.
[19] WANG X,ZHANG X. Rigid 3D Point cloud registration based on point feature histograms[C]//Proceedings of the 2nd International Conference on Machinery,Electronics and Control Simulation (MECS 2017).[S.l.]:MECS,2016.
[20] LAGA H,MoORTARA M,SPAGNUOLO M. Geometry and context for semantic correspondences and functionality recognition in man-made 3D shapes[J]. ACM Transactions on Graphics (TOG),2013,32(5):2516975.

融合IFC语义信息与几何相似性的BIM构件实例信息提取方法

An approach for extracting BIM component instance information integrating IFC semantic data and geometric similarity

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	刘国超, 彭卫平, 刘伟. 基于新型智慧城市视角的地质灾害监测——以广州市为例[J]. 测绘通报, 2024, 0(3): 162-167.
[2]	李少英, 张新长, 吴志峰, 陈澄静, 阮永俭. 创新创业训练与智慧城市课程深度融合的实践探索[J]. 测绘通报, 2024, 0(3): 168-172.
[3]	徐海, 贺彪, 蒯希, 唐骜巍, 李泽宇, 万远. 融合分层层次细节和潜在可见集的三维城市场景高效可视化[J]. 测绘通报, 2024, 0(1): 102-108.
[4]	张新长, 廖曦, 阮永俭. 智慧城市建设中的数字孪生与元宇宙探讨[J]. 测绘通报, 2023, 0(1): 1-7,13.
[5]	阮永俭, 张新长, 居圣哲, 廖曦, 阮宝珍, 刘江, 敬峰瑞. 智慧城市快速建设背景下的老旧社区智慧化改造探讨[J]. 测绘通报, 2023, 0(1): 14-19.
[6]	张新长, 李少英, 阮永俭. 智慧城市课程思政:核心元素和实施策略[J]. 测绘通报, 2022, 0(9): 158-161.
[7]	王琳, 郭功举, 刘一宁. 面向智慧城市建设的地理实体构建方法[J]. 测绘通报, 2022, 0(2): 20-24.
[8]	郭泽, 谭衢霖, 秦晓春, 贺佳, 胡吉平. 基于Cesium的铁路线路三维场景空间信息服务[J]. 测绘通报, 2022, 0(11): 144-148.
[9]	田立征, 李成名, 刘晓丽, 印洁. 时空大数据分类体系研究[J]. 测绘通报, 2021, 0(5): 1-4.
[10]	冯增文, 李珂, 李梓豪, 任传斌. 低空无人机的倾斜摄影测量技术在城市轨道交通建设中的应用[J]. 测绘通报, 2020, 0(9): 42-45.
[11]	张馨文, 张春晓. 虚拟地理环境在智慧城市中的研究与应用[J]. 测绘通报, 2020, 0(5): 11-15,30.
[12]	戚文来, 韩娟. 智慧城市时空大数据平台下自然资源档案管理系统的升级与改造[J]. 测绘通报, 2020, 0(11): 155-157,166.
[13]	左海龙, 罗红霞. 多源空间数据融合的城市精细化管理[J]. 测绘通报, 2019, 0(12): 108-111,151.
[14]	韩清莹. 智慧城市管理共享系统的设计与实现[J]. 测绘通报, 2018, 0(10): 131-134.
[15]	杨永崇, 李梁. 智慧城市地理空间数据可视化技术探讨[J]. 测绘通报, 2017, 0(8): 110-112,134.