图学学报 ›› 2025, Vol. 46 ›› Issue (5): 1134-1143.DOI: 10.11996/JG.j.2095-302X.2025051134
谭立云1,2(), 刘界鹏1,2(
), 李汉涛3, 曾焱1,2, 廖岳1,2, 吴小峰3, 崔娜1,2
收稿日期:
2024-11-11
接受日期:
2025-04-25
出版日期:
2025-10-30
发布日期:
2025-09-10
通讯作者:
刘界鹏(1978-),男,教授,博士。主要研究方向为智能建造。E-mail:liujp@cqu.edu.cn第一作者:
谭立云(2001-),女,硕士研究生。主要研究方向为智能建造。E-mail:erintly@cqu.edu.cn
基金资助:
TAN Liyun1,2(), LIU Jiepeng1,2(
), LI Hantao3, ZENG Yan1,2, LIAO Yue1,2, WU Xiaofeng3, CUI Na1,2
Received:
2024-11-11
Accepted:
2025-04-25
Published:
2025-10-30
Online:
2025-09-10
First author:
TAN Liyun (2001-), master student. Her main research interest covers intelligent construction. E-mail:erintly@cqu.edu.cn
Supported by:
摘要:
玻璃幕墙因独特的美感和强大的塑型能力被广泛应用于大型场馆和地标建筑,其施工流程为先施工龙骨支撑系统再进行玻璃面板的安装与调试,但在具体操作时,建成龙骨的轴线通常与设计轴线有所偏差,导致后续玻璃面板施工困难。本文开展基于非平衡最优传输理论的幕墙点云轴线提取研究。该方法充分利用点云数据信息,结合非平衡最优传输理论,包括输入点云数据、点云数据预处理、随机采样获得初始轴线点集、提取杆件粗轴线和提取杆件精轴线等步骤,以此获得目标点云的轴线特征,后续再根据提取到的轴线获取幕墙尺寸。实验结果表明,该方法能有效提取幕墙龙骨的轴线,且具有良好的中心性与鲁棒性。通过与其他算法进行比较,证明了其有效性。计算得到的幕墙尺寸与实际测得的结果相比,误差在±2 mm内,在允许误差范围内。
中图分类号:
谭立云, 刘界鹏, 李汉涛, 曾焱, 廖岳, 吴小峰, 崔娜. 基于非平衡最优传输理论的拉索式幕墙面板尺寸检测方法[J]. 图学学报, 2025, 46(5): 1134-1143.
TAN Liyun, LIU Jiepeng, LI Hantao, ZENG Yan, LIAO Yue, WU Xiaofeng, CUI Na. Dimension detection method for cable support curtain wall panels based on unbalanced optimal transport theory[J]. Journal of Graphics, 2025, 46(5): 1134-1143.
图1 点云数据间的质量传输过程((a) 点云数据;(b) 正视图;(c) 俯视图)
Fig. 1 The transport process between point cloud data ((a) Point cloud data; (b) Front view; (c) Vertical view)
图4 切片法轴线点优化原理((a) 切片;(b) 平面投影;(c) 几何中心)
Fig. 4 Principle of axis optimization using slicing method ((a) The slice; (b) Planar projection; (c) Geometric center)
拉索玻璃编号 | 尺寸(左,上,右,下) | 对角线(左上,左下) |
---|---|---|
LS-BL1-1 | 2 983.4, 2 005.9, 2 989.0, 2 002.5 | 3 602.2, 3 590.6 |
LS-BL1-2 | 2 989.0, 1 991.6, 2 994.5, 1 993.2 | 3 599.9, 3 589.1 |
LS-BL1-3 | 2 994.5, 1 994.5, 3 000.1, 1 995.7 | 3 606.8, 3 594.4 |
LS-BL1-4 | 3 000.1, 1 997.8, 3 005.6, 1 990.5 | 3 609.0, 3 600.4 |
LS-BL1-9 | 2 998.7, 2 019.2, 2 998.3, 2 012.0 | 3 619.8, 3 606.1 |
LS-BL1-10 | 2 998.3, 1 989.2, 2 998.0, 1 993.9 | 3 605.5, 3 593.2 |
LS-BL1-11 | 2 998.0, 2 002.1, 2 997.6, 1 999.0 | 3 610.6, 3 597.4 |
LS-BL1-12A | 2 997.6, 1 948.9, 2 997.5, 1 980.0 | 3 598.0, 3 569.7 |
LS-BL1-16A | 3 010.0, 1 943.8, 3 008.1, 1 947.8 | 3 594.0, 3 572.7 |
LS-BL1-34A | 2 992.8, 1 940.0, 2 982.2, 1 943.8 | 3 579.0, 3 547.3 |
LS-BL1-52A | 3 007.4, 1 936.1, 2 996.8, 1 940.0 | 3 598.0, 3 548.4 |
LS-BL1-70A | 3 007.7, 1 932.4, 2 993.7, 1 936.1 | 3 605.1, 3 534.8 |
表1 玻璃幕墙尺寸计算值/mm
Table 1 Calculated value of curtain wall dimensions/mm
拉索玻璃编号 | 尺寸(左,上,右,下) | 对角线(左上,左下) |
---|---|---|
LS-BL1-1 | 2 983.4, 2 005.9, 2 989.0, 2 002.5 | 3 602.2, 3 590.6 |
LS-BL1-2 | 2 989.0, 1 991.6, 2 994.5, 1 993.2 | 3 599.9, 3 589.1 |
LS-BL1-3 | 2 994.5, 1 994.5, 3 000.1, 1 995.7 | 3 606.8, 3 594.4 |
LS-BL1-4 | 3 000.1, 1 997.8, 3 005.6, 1 990.5 | 3 609.0, 3 600.4 |
LS-BL1-9 | 2 998.7, 2 019.2, 2 998.3, 2 012.0 | 3 619.8, 3 606.1 |
LS-BL1-10 | 2 998.3, 1 989.2, 2 998.0, 1 993.9 | 3 605.5, 3 593.2 |
LS-BL1-11 | 2 998.0, 2 002.1, 2 997.6, 1 999.0 | 3 610.6, 3 597.4 |
LS-BL1-12A | 2 997.6, 1 948.9, 2 997.5, 1 980.0 | 3 598.0, 3 569.7 |
LS-BL1-16A | 3 010.0, 1 943.8, 3 008.1, 1 947.8 | 3 594.0, 3 572.7 |
LS-BL1-34A | 2 992.8, 1 940.0, 2 982.2, 1 943.8 | 3 579.0, 3 547.3 |
LS-BL1-52A | 3 007.4, 1 936.1, 2 996.8, 1 940.0 | 3 598.0, 3 548.4 |
LS-BL1-70A | 3 007.7, 1 932.4, 2 993.7, 1 936.1 | 3 605.1, 3 534.8 |
拉索玻璃编号 | 尺寸(左,上,右,下) | 对角线(左上,左下) |
---|---|---|
LS-BL11 | 2 983.5, 2 005.5, 2 988.7, 2 002.9 | 3 603.8, 3 590.8 |
LS-BL1-2 | 2 988.7, 1 992.5, 2 994.7, 1 991.4 | 3 600.4, 3 589.3 |
LS-BL1-3 | 2 994.7, 1 993.5, 3 000.3, 1 995.3 | 3 605.2, 3 593.7 |
LS-BL1-4 | 3 000.3, 1 998.2, 3 005.9, 1 989.6 | 3 609.2, 3 600.8 |
LS-BL1-9 | 2 998.0, 2 020.3, 2 998.2, 2 010.9 | 3 620.2, 3 607.4 |
LS-BL1-10 | 2 998.2, 1 991.1, 2 998.6, 1 992.0 | 3 606.4, 3 593.1 |
LS-BL1-11 | 2 998.6, 2 002.5, 2 996.8, 1 998.6 | 3 610.2, 3 597.1 |
LS-BL1-12A | 2 996.8, 1 948.9, 2 996.9, 1 981.2 | 3 597.8, 3 570.8 |
LS-BL1-16A | 3 008.1, 1 944.1, 3 009.6, 1 948.9 | 3 595.4, 3 573.8 |
LS-BL1-34A | 2 993.7, 1 938.9, 2 982.3, 1 944.1 | 3 580.3, 3 548.2 |
LS-BL1-52A | 3 008.0, 1 936.4, 2 995.9, 1 938.9 | 3 596.4, 3 547.7 |
LS-BL1-70A | 3 007.3, 1 931.4, 2 994.4, 1 936.4 | 3 604.7, 3 534.2 |
表2 玻璃幕墙尺寸实测值/mm
Table 2 Actual measured value of curtain wall dimensions /mm
拉索玻璃编号 | 尺寸(左,上,右,下) | 对角线(左上,左下) |
---|---|---|
LS-BL11 | 2 983.5, 2 005.5, 2 988.7, 2 002.9 | 3 603.8, 3 590.8 |
LS-BL1-2 | 2 988.7, 1 992.5, 2 994.7, 1 991.4 | 3 600.4, 3 589.3 |
LS-BL1-3 | 2 994.7, 1 993.5, 3 000.3, 1 995.3 | 3 605.2, 3 593.7 |
LS-BL1-4 | 3 000.3, 1 998.2, 3 005.9, 1 989.6 | 3 609.2, 3 600.8 |
LS-BL1-9 | 2 998.0, 2 020.3, 2 998.2, 2 010.9 | 3 620.2, 3 607.4 |
LS-BL1-10 | 2 998.2, 1 991.1, 2 998.6, 1 992.0 | 3 606.4, 3 593.1 |
LS-BL1-11 | 2 998.6, 2 002.5, 2 996.8, 1 998.6 | 3 610.2, 3 597.1 |
LS-BL1-12A | 2 996.8, 1 948.9, 2 996.9, 1 981.2 | 3 597.8, 3 570.8 |
LS-BL1-16A | 3 008.1, 1 944.1, 3 009.6, 1 948.9 | 3 595.4, 3 573.8 |
LS-BL1-34A | 2 993.7, 1 938.9, 2 982.3, 1 944.1 | 3 580.3, 3 548.2 |
LS-BL1-52A | 3 008.0, 1 936.4, 2 995.9, 1 938.9 | 3 596.4, 3 547.7 |
LS-BL1-70A | 3 007.3, 1 931.4, 2 994.4, 1 936.4 | 3 604.7, 3 534.2 |
拉索玻璃编号 | 左 | 上 | 右 | 下 | 左上 | 左下 |
---|---|---|---|---|---|---|
LS-BL1-1 | −0.1 | 0.4 | 0.3 | −0.4 | −1.6 | −0.2 |
LS-BL1-2 | 0.3 | −0.9 | −0.2 | 1.8 | −0.5 | −0.2 |
LS-BL1-3 | −0.2 | 1 | −0.2 | 0.4 | 1.6 | 0.7 |
LS-BL1-4 | −0.2 | −0.4 | −0.3 | 0.9 | −0.2 | −0.4 |
LS-BL1-9 | 0.7 | −1.1 | 0.1 | 1.1 | −0.4 | −1.3 |
LS-BL1-10 | 0.1 | −1.9 | −0.6 | 1.9 | −0.9 | 0.1 |
LS-BL1-11 | −0.6 | −0.4 | 0.8 | 0.4 | 0.4 | 0.3 |
LS-BL1-12A | 0.8 | 0 | 0.6 | −1.2 | 0.2 | −1.1 |
LS-BL1-16A | 1.9 | −0.3 | −1.5 | −1.1 | −1.4 | −1.1 |
LS-BL1-34A | −0.9 | 1.1 | −0.1 | −0.3 | −1.3 | −0.9 |
LS-BL1-52A | −0.6 | −0.3 | 0.9 | 1.1 | 1.6 | 0.7 |
LS-BL1-70A | 0.4 | 1 | −0.7 | −0.3 | 0.4 | 0.6 |
表3 计算值与实测值之间的偏差值/mm
Table 3 Deviation value between calculated value and actual measured value/mm
拉索玻璃编号 | 左 | 上 | 右 | 下 | 左上 | 左下 |
---|---|---|---|---|---|---|
LS-BL1-1 | −0.1 | 0.4 | 0.3 | −0.4 | −1.6 | −0.2 |
LS-BL1-2 | 0.3 | −0.9 | −0.2 | 1.8 | −0.5 | −0.2 |
LS-BL1-3 | −0.2 | 1 | −0.2 | 0.4 | 1.6 | 0.7 |
LS-BL1-4 | −0.2 | −0.4 | −0.3 | 0.9 | −0.2 | −0.4 |
LS-BL1-9 | 0.7 | −1.1 | 0.1 | 1.1 | −0.4 | −1.3 |
LS-BL1-10 | 0.1 | −1.9 | −0.6 | 1.9 | −0.9 | 0.1 |
LS-BL1-11 | −0.6 | −0.4 | 0.8 | 0.4 | 0.4 | 0.3 |
LS-BL1-12A | 0.8 | 0 | 0.6 | −1.2 | 0.2 | −1.1 |
LS-BL1-16A | 1.9 | −0.3 | −1.5 | −1.1 | −1.4 | −1.1 |
LS-BL1-34A | −0.9 | 1.1 | −0.1 | −0.3 | −1.3 | −0.9 |
LS-BL1-52A | −0.6 | −0.3 | 0.9 | 1.1 | 1.6 | 0.7 |
LS-BL1-70A | 0.4 | 1 | −0.7 | −0.3 | 0.4 | 0.6 |
图15 轴线收缩结果比较((a) 幕墙龙骨点云数据;(b) ROSA法;(c) MDCS法;(d) 本文算法)
Fig. 15 Comparison of axis extraction results ((a) Curtain wall keel point cloud data; (b) ROSA method; (c) MDCS method; (d) Ours)
拉索玻璃编号 | 尺寸(左、上、右、下) | ||
---|---|---|---|
本文算法 | ROSA法 | MDCS法 | |
1 | 0.013 6, 0.007 2, 0.009 9, 0.007 8 | 0.013 2, 0.042 2, 0.013 8, 0.014 2 | 0.059 5, -, 0.040 3, - |
2 | 0.009 9, 0.008 1 , 0.006 7, 0.005 9 | 0.013 8, 0.014 2, 0.012 6, 0.034 5 | 0.040 3, 0.036 7, 0.171 6 |
3 | 0.006 7, 0.012 1, 0.016 8, 0.007 7 | 0.012 6, 0.012 2, 0.013 2, 0.013 5 | 0.036 7, -, 0.025 3, - |
4 | 0.019 9, 0.007 8, 0.017 2, 0.016 3 | 0.031 4, 0.014 2, 0.016 5, 0.031 1 | 0.051 5, -, 0.107 6, 0.073 6 |
5 | 0.017 2, 0.005 9, 0.008 2, 0.008 4 | 0.016 5, 0.034 5, 0.011 9, 0.007 2 | 0.107 6, 0.171 6, 0.074 8, 0.133 4 |
6 | 0.008 2, 0.007 7, 0.005 6, 0.006 2 | 0.011 9, 0.013 5, 0.008 6, 0.007 4 | 0.074 8, -, 0.076 2, - |
表4 计算轴线与实际轴线的最大偏差值
Table 4 The maximum deviation value between the calculated axis and the actual axis
拉索玻璃编号 | 尺寸(左、上、右、下) | ||
---|---|---|---|
本文算法 | ROSA法 | MDCS法 | |
1 | 0.013 6, 0.007 2, 0.009 9, 0.007 8 | 0.013 2, 0.042 2, 0.013 8, 0.014 2 | 0.059 5, -, 0.040 3, - |
2 | 0.009 9, 0.008 1 , 0.006 7, 0.005 9 | 0.013 8, 0.014 2, 0.012 6, 0.034 5 | 0.040 3, 0.036 7, 0.171 6 |
3 | 0.006 7, 0.012 1, 0.016 8, 0.007 7 | 0.012 6, 0.012 2, 0.013 2, 0.013 5 | 0.036 7, -, 0.025 3, - |
4 | 0.019 9, 0.007 8, 0.017 2, 0.016 3 | 0.031 4, 0.014 2, 0.016 5, 0.031 1 | 0.051 5, -, 0.107 6, 0.073 6 |
5 | 0.017 2, 0.005 9, 0.008 2, 0.008 4 | 0.016 5, 0.034 5, 0.011 9, 0.007 2 | 0.107 6, 0.171 6, 0.074 8, 0.133 4 |
6 | 0.008 2, 0.007 7, 0.005 6, 0.006 2 | 0.011 9, 0.013 5, 0.008 6, 0.007 4 | 0.074 8, -, 0.076 2, - |
拉索玻 璃编号 | 尺寸(左,上,右,下) | 对角线(左上,左下) |
---|---|---|
1 | 3 005.5, 2 000.6, 3 002.6, 2 000.6 | 3 618.6, 3 599.9 |
2 | 3 002.6, 2 013.7, 2 999.7, 2 013.6 | 3 623.5, 3 604.7 |
3 | 2 999.7, 1 996.4, 2 996.8, 1 993.7 | 3 609.9, 3 592.8 |
4 | 2 993.3, 2 000.6, 2 991.4, 2 000.6 | 3 606.9, 3 592.2 |
5 | 2 991.4, 2 013.6, 2 989.4, 2 013.5 | 3 612.5, 3 597.8 |
6 | 2 989.4, 1 993.7, 2 987.5, 1 991.1 | 3 598.3, 3 585.2 |
表5 玻璃幕墙测试数据尺寸计算值/mm
Table 5 Calculated value of curtain wall dimensions for testing/mm
拉索玻 璃编号 | 尺寸(左,上,右,下) | 对角线(左上,左下) |
---|---|---|
1 | 3 005.5, 2 000.6, 3 002.6, 2 000.6 | 3 618.6, 3 599.9 |
2 | 3 002.6, 2 013.7, 2 999.7, 2 013.6 | 3 623.5, 3 604.7 |
3 | 2 999.7, 1 996.4, 2 996.8, 1 993.7 | 3 609.9, 3 592.8 |
4 | 2 993.3, 2 000.6, 2 991.4, 2 000.6 | 3 606.9, 3 592.2 |
5 | 2 991.4, 2 013.6, 2 989.4, 2 013.5 | 3 612.5, 3 597.8 |
6 | 2 989.4, 1 993.7, 2 987.5, 1 991.1 | 3 598.3, 3 585.2 |
拉索玻璃编号 | 左 | 上 | 右 | 下 | 左上 | 左下 |
---|---|---|---|---|---|---|
1 | −0.9 | 0.3 | −0.2 | 1.3 | 0.6 | −1.1 |
2 | −1.1 | 0.9 | 0.2 | 0.2 | 1.4 | −1.2 |
3 | 0.2 | 0.2 | 0.3 | −0.5 | −0.4 | 0.2 |
4 | 0 | 1.3 | −0.6 | −0.7 | −0.2 | 0.5 |
5 | −0.6 | 0.2 | 0.7 | −1.2 | 0.3 | −0.7 |
6 | 0.7 | −0.5 | −0.4 | −0.2 | −1.6 | 0.8 |
表6 测试数据计算值与实测值之间的偏差值/mm
Table 6 Deviation value between calculated value and actual measured value for testing/mm
拉索玻璃编号 | 左 | 上 | 右 | 下 | 左上 | 左下 |
---|---|---|---|---|---|---|
1 | −0.9 | 0.3 | −0.2 | 1.3 | 0.6 | −1.1 |
2 | −1.1 | 0.9 | 0.2 | 0.2 | 1.4 | −1.2 |
3 | 0.2 | 0.2 | 0.3 | −0.5 | −0.4 | 0.2 |
4 | 0 | 1.3 | −0.6 | −0.7 | −0.2 | 0.5 |
5 | −0.6 | 0.2 | 0.7 | −1.2 | 0.3 | −0.7 |
6 | 0.7 | −0.5 | −0.4 | −0.2 | −1.6 | 0.8 |
[1] | FENG R Q, WU Y, SHEN S Z. Working mechanism of single-layer cable net supported glass curtain walls[J]. Advances in Structural Engineering, 2007, 10(2): 183-195. |
[2] | YU Y, LIU T, ZHANG Q L, et al. Wind‐induced response of an L‐shaped cable support glass curtain wall[J]. Shock and Vibration, 2017, 2017: 4163045. |
[3] | WANG J H, YI T Q, LIANG X, et al. Application of 3D laser scanning technology using laser radar system to error analysis in the curtain wall construction[J]. Remote Sensing, 2022, 15(1): 64. |
[4] | PARK J S, PARK H S. High-precision dimensional measurement of a curtain wall cross-section using image super-resolution[J]. Materials Research Proceedings, 2023, 27: 223-227. |
[5] | WU D C, LI Y, LI R, et al. Automatic curtain wall frame detection based on deep learning and cross-modal feature fusion[J]. Automation in Construction, 2024, 160: 105305. |
[6] | TAGLIASACCHI A, ZHANG H, COHEN-OR D. Curve skeleton extraction from incomplete point cloud[J]. ACM Transactions on Graphics (TOG), 2009, 28(3): 71. |
[7] | CAO J J, TAGLIASACCHI A, OLSON M, et al. Point cloud skeletons via Laplacian based contraction[C]// 2010 Shape Modeling International Conference. New York: IEEE Press, 2010: 187-197. |
[8] | HUANG H, WU S H, COHEN-OR D, et al. L1-medial skeleton of point cloud[J]. ACM Transactions on Graphics (TOG), 2013, 32(4): 65. |
[9] | QIN H X, HAN J, LI N, et al. Mass-driven topology-aware curve skeleton extraction from incomplete point clouds[J]. IEEE Transactions on Visualization and Computer Graphics, 2020, 26(9): 2805-2817. |
[10] | VILLANI C. Topics in optimal transportation[M]. Providence: American Mathematical Society, 2003: 370. |
[11] | ZHANG J Y, ZHONG W X, MA P. A review on modern computational optimal transport methods with applications in biomedical research[M]// ZHAOY C, CHEND G. Modern Statistical Methods for Health Research. Cham: Springer, 2021: 279-300. |
[12] | RUBNER Y, TOMASI C, GUIBAS L J. The earth mover’s distance as a metric for image retrieval[J]. International Journal of Computer Vision, 2000, 40(2): 99-121. |
[13] | FRISCH U, MATARRESE S, MOHAYAEE R, et al. A reconstruction of the initial conditions of the universe by optimal mass transportation[J]. Nature, 2002, 417(6886): 260-262. |
[14] | BENAMOU J D, BRENIER Y. Weak existence for the semigeostrophic equations formulated as a coupled Monge-Ampère/transport problem[J]. SIAM Journal on Applied Mathematics, 1998, 58(5): 1450-1461. |
[15] | KANTOROVICH L. On the transfer of masses[J]. Doklady Akademii Nauk, 1942, 37(2): 227-229 (in Russian). |
[16] | WASSERSTEIN L N. Markov processes over denumerable products of spaces describing large systems of automata[J]. Problemy Peredachi Informatsii, 1969, 5(3): 64-72. |
[17] | PEYRÉ G, CUTURI M. Computational optimal transport[J]. Foundations and Trends® in Machine Learning, 2019, 11(5-6): 355-607. |
[18] | CUTURI M. Sinkhorn distances: Lightspeed computation of optimal transport[C]// The 27th International Conference on Neural Information Processing Systems. Red Hook: Curran Associates Inc., 2013: 2292-2300. |
[19] | CAFFARELLI L A, McCann R J. Free boundaries in optimal transport and Monge-Ampere obstacle problems[J]. Annals of Mathematics, 2010, 171(2): 673-730. |
[20] | CHIZAT L, PEYRÉ G, SCHMITZER B, et al. Scaling algorithms for unbalanced optimal transport problems[J]. Mathematics of Computation, 2018, 87(314): 2563-2609. |
[21] | RUSU R B, BLODOW N, BEETZ M. Fast point feature histograms (FPFH) for 3D registration[C]// 2009 IEEE International Conference on Robotics and Automation. New York: IEEE Press, 2009: 3212-3217. |
[22] | BESL P J, MCKAY N D. Method for registration of 3-D shapes[EB/OL]. [2024-07-11]. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/1611/1/Method-for-registration-of-3-D-shapes/10.1117/12.57955.short. |
[23] | 中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. GB/T 21086-2007 建筑幕墙[S]. 北京: 中国标准出版社, 2008. |
General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T 21086-2007 Curtain wall for building[S]. Beijing: Standards Press of China, 2008 (in Chinese). |
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