基于轮廓关键点形状上下文描述的BIM模型版本对比方法

doi:10.11996/JG.j.2095-302X.2023051034

图学学报 ›› 2023, Vol. 44 ›› Issue (5): 1034-1040.DOI: 10.11996/JG.j.2095-302X.2023051034

基于轮廓关键点形状上下文描述的BIM模型版本对比方法

刘建秀¹^,²(), 苏文哲¹^,², 苏治东¹

1.中国电建集团中南勘测设计研究院有限公司，湖南长沙 410140
2.湖南省BIM工程技术研究中心，湖南长沙 410140

收稿日期:2023-02-23 接受日期:2023-05-24 出版日期:2023-10-31 发布日期:2023-10-31
作者简介:刘建秀(1986-)，女，高级工程师，博士。主要研究方向为BIM研究及数字引擎开发。E-mail：jxliu2014@163.com
基金资助:
湖南省高新技术产业科技创新引领计划项目(2022GK4009);中国电建集团中南勘测设计研究院有限公司A级科研项目(2-2021-04667)

A comparation method of BIM model based on the shape context description of contour key points

LIU Jian-xiu¹^,²(), SU Wen-zhe¹^,², SU Zhi-dong¹

1. PowerChina Zhongnan Engineering Co. Ltd., Changsha Hunan 410140, China
2. Hunan BIM Engineering Technology Research Center, Changsha Hunan 410140, China

Received:2023-02-23 Accepted:2023-05-24 Online:2023-10-31 Published:2023-10-31
About author:LIU Jian-xiu (1986-), senior engineer, Ph.D. Her main research interests cover BIM research and digital engine development. E-mail：jxliu2014@163.com
Supported by:
Hunan Province High Tech Industry Science and Technology Innovation Leading Plan(2022GK4009);A-Level Scientific Research Project of Power China Zhongnan Engineering Co. Ltd.(2-2021-04667)

摘要/Abstract

摘要：

在工程全生命周期过程中，需求、参与方、工况等因素的变化使得BIM模型变更频繁，模型校审工作量巨大，校审的基础是识别不同版本之间模型的差异。针对模型中的结构化信息，可采用文本比较的方式。对于非结构化的几何信息，提出了基于轮廓关键点和表面描述点进行形状上下文描述的方法。该方法首先通过计算获得模型的轮廓线，其次采用轮廓线均匀采样和表面泊松盘均匀采样的方式获取关于模型的特征描述，最后对模型统计特征进行定量比较。相较于目前主流的随机采样方法，该方法不仅能通过较少的采样点获得对模型的稳定描述，提高对比效率，且对模型结构改变十分敏感，同时也可以抵抗因曲面细分或简化带来的影响。本文方法在某水电工程的部分非标准化构件中进行实验验证，在模型差异化对比方面取得了良好的效果。

关键词: 模型, 版本对比, 轮廓线, 关键点, 均匀采样

Abstract:

Throughout the entire lifecycle of a project, changes in requirements, participants, and operating conditions often result in frequent modifications to BIM models. The workload for model review is significant, and the foundation of this review process lies in identifying the differences between different versions of the model. For structured information in the model, a text-based comparison approach could be utilized. In terms of unstructured geometric information, a method of shape context description based on contour key points and surface description points was proposed in the paper. Firstly, this method obtained the model contour line through calculation, and then collected the model feature descriptions through uniform sampling of contour lines and uniform sampling of surface Poisson disks. Finally, a quantitative comparison was conducted on the statistical feature of the model. Compared to the current mainstream random sampling methods, the proposed method not only provided a stable description of the model with fewer sampling points, thus improving the contrast efficiency, but it was also highly sensitive to changes in the model structure. At the same time, it could resist the impact caused by curved surface subdivision or simplification. The proposed method was experimentally validated on some non-standard components of a hydropower project, demonstrating outstanding performance in terms of model differentiation comparison.

Key words: model, version comparison, contour lines, key points, uniform sampling

中图分类号:

TP391

刘建秀, 苏文哲, 苏治东. 基于轮廓关键点形状上下文描述的BIM模型版本对比方法[J]. 图学学报, 2023, 44(5): 1034-1040.

LIU Jian-xiu, SU Wen-zhe, SU Zhi-dong. A comparation method of BIM model based on the shape context description of contour key points[J]. Journal of Graphics, 2023, 44(5): 1034-1040.

图/表 10

图1 本文方法的流程图

Fig. 1 Flow chart of the method in this paper

图2 轮廓边提取示例

Fig. 2 Example of boundary edge extraction

图3 φ为不同值时提取的边线

Fig. 3 BoundaryLine for different φ ((a) φ= 1; (b) φ= 0.5)

图4 输水建筑物分流构件示意图((a)分流墩实体模型；(b)分流墩三角网格模型)

Fig. 4 Schematic diagram of components of water conveyance structure ((a) Solid model of diversion pier; (b) Triangulation model of diversion pier)

图5 分流构件形状分布((a)随机采样方式下采样个数对形状稳定性的影响；(b)本文中不同采样个数及曲面细分对形状分布的影响)

Fig. 5 Shape distribution of diversion models ((a) Impact of sampling number on shape stability under random sampling method; (b) The influence of different sampling numbers and surface subdivision on the shape distribution of components in this article)

图6 模型的细微主观设计改变((a)同一模型不同倒角参数的形状分布；(b)同一墙体不同开孔位置的形状分布)

Fig. 6 The subtle subjective design change of the model ((a) Shape distribution of different chamfer parameters of the same model; (b) Shape distribution of different opening positions on the same wall)

图7 调压室及事故闸门室模型版本对比((a)为修改前-A版；(b)修改后-B版，蓝色为有差异的部分)

Fig. 7 Comparison of surge chamber and emergency gate chamber with different versions ((a) The pre-A version; (b) The right is the post-B version, the blue represents the parts with differences)

图8 相同构件的误差散点图

Fig. 8 Error scatter diagram of the same component

图9 构件的几何差异((a)原版本模型；(b)修改后模型)

Fig. 9 Geometric differences of the comparison model ((a) Original version model; (b) Modified model)

图10 属性对比结果(红色表示删除的，绿色表示新增的，黄色表示属性值有变化的)

Fig. 10 Attribute comparison results (red indicates deleted, green indicates added, and yellow indicates changes in attribute values)

参考文献 19

[1]	王文志. 三维模型轻量化技术研究与实现[D]. 武汉: 华中科技大学.
	WANG W Z. Research and implementation of lightweight technology for 3D model[D]. Wuhan: Huazhong University of Science and Technology. (in Chinese)
[2]	LEE G, WON J, HAM S, et al. Metrics for quantifying the similarities and differences between IFC files[J]. Journal of Computing in Civil Engineering, 2011, 25(2): 172-181. DOI URL
[3]	SHI X, LIU Y S, GAO G, et al. IFCdiff: a content-based automatic comparison approach for IFC files[J]. Automation in Construction, 2018, 86: 53-68. DOI URL
[4]	OSADA R, FUNKHOUSER T, CHAZELLE B, et al. Shape distributions[J]. ACM Transactions on Graphics, 2002, 21(4): 807-832. DOI URL
[5]	章志勇. 三维模型几何相似性比较的研究[D]. 杭州: 浙江大学.
	ZHANG Z Y. Research on comparison of geometric similarity of 3D models[D]. Hangzhou: Zhejiang University. (in Chinese)
[6]	王佳, 吴磊, 周小平, 等. 基于构件形状分布和配准位置的 BIM模型对比方法[J]. 图学学报, 2020, 41(3): 480-489. DOI
	WANG J, WU L, ZHOU X P, et al. Comparison method of BIM models based on component shape distribution and registration position[J]. Journal of Graphics, 2020, 41(3): 480-489. (in Chinese) DOI
[7]	BIASOTTI S, GIORGI D, SPAGNUOLO M, et al. Size functions for comparing 3D models[J]. Pattern Recognition, 2008, 41(9): 2855-2873. DOI URL
[8]	王凌燕. 基于骨架线约束的非刚性三维模型匹配[J]. 计算机应用与软件. 2020, 37(6): 171-177.
	WANG L Y. Non-rigid 3D models matching based on skeleton constraint[J]. Computer Applications and Software. 2020, 37(6): 171-177. (in Chinese)
[9]	中华人民共和国住房和城乡建设部, 中华人民共和国国家质量监督检验检疫总局. 建筑信息模型分类和编码标准: GB/T 51269-2017[S]. 中国建筑工业出版社. 2018.
	Ministry of Housing and Urban Rural Development of the People's Republic of China, General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China. Standard for classification and coding of building information model:GB/T 51269-2017[S]. China Construction Industry Press. 2018. (in Chinese)
[10]	中国水利水电勘测设计协会. 水利水电工程信息模型分类和编码标准: T/CWHIDA0007-2020[S]. 中国水利水电出版社. 2020.
	China Water Conservancy and Hydropower Investigation and Design Association. Standard for classification and coding of water conservancy and hydropower information model: T/CWHIDA0007-2020[S]. China Water&Power Press. 2020. (in Chinese)
[11]	CAMPBELL D, PETERSSON L. An adaptive data representation for robust point-set registration and merging[C]// 2015 IEEE International Conference on Computer Vision. New York: IEEE Press, 2016: 4292-4300.
[12]	HORN B K P. Extended Gaussian images[J]. Proceedings of the IEEE, 1984, 72(12): 1671-1686. DOI URL
[13]	ZOU K S, IP W H, WU C H, et al. A novel 3D model retrieval approach using combined shape distribution[J]. Multimedia Tools and Applications, 2014, 69(3): 799-818. DOI URL
[14]	YANG S. Symbol recognition via statistical integration of pixel-level constraint histograms: a new descriptor[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(2): 278-281. PMID
[15]	BELONGIE S, MALIK J, PUZICHA J. Shape matching and object recognition using shape contexts[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(4): 509-522. DOI URL
[16]	OSADA R, FUNKHOUSER T, CHAZELLE B, et al. Matching 3D models with shape distributions[C]// Proceedings International Conference on Shape Modeling and Applications. New York: IEEE Press, 2002: 154-166.
[17]	PREMACHANDRAN V, KAKARALA R. Perceptually motivated shape context which uses shape interiors[J]. Pattern Recognition, 2013, 46(8): 2092-2102. DOI URL
[18]	GENG B, ZHANG H J, WANG H, et al. Approximate Poisson disk sampling on mesh[J]. Science China Information Sciences, 2013, 56(9): 092117:1-092117:12.
[19]	廖列法, 黎晨, 孟祥茂. 基于欧氏空间相似度的云模型协同过滤算法[J]. 计算机工程与科学, 2015, 37(10): 1977-1982.
	LIAO L F, LI C, MENG X M. A cloud model based collaborative filtering recommendation algorithm using Euclidean distance similarity measurement[J]. Computer Engineering and Science, 2015, 37(10): 1977-1982. (in Chinese)

基于轮廓关键点形状上下文描述的BIM模型版本对比方法

A comparation method of BIM model based on the shape context description of contour key points

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