Journal of Graphics ›› 2024, Vol. 45 ›› Issue (1): 183-190.DOI: 10.11996/JG.j.2095-302X.2024010183
• Computer Graphics and Virtual Reality • Previous Articles Next Articles
WANG Peng(), XIN Peikang(
), LIU Yin, YU Fangqiang
Received:
2023-08-18
Accepted:
2023-10-19
Online:
2024-02-29
Published:
2024-02-29
Contact:
XIN Peikang (1993-), engineer, master. His main research interests cover digital construction and engineering application of digital surveying and mapping. E-mail:About author:
WANG Peng (1999-), assistant engineer, undergraduate. His main research interests cover intelligent construction and digital surveying and mapping. E-mail:Biste.Wang@outlook.com
Supported by:
CLC Number:
WANG Peng, XIN Peikang, LIU Yin, YU Fangqiang. Extracting node center coordinates of point clouds in reticulated shell structure using least squares method[J]. Journal of Graphics, 2024, 45(1): 183-190.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.txxb.com.cn/EN/10.11996/JG.j.2095-302X.2024010183
节点 编号 | 本文方法计算坐标结果/m | 全站仪复核坐标结果/m | 位置 偏差/ mm | 节点 编号 | 本文方法计算坐标结果/m | 全站仪复核坐标结果/m | 位置 偏差/ mm | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
X | Y | Z | X | Y | Z | X | Y | Z | X | Y | Z | ||||
1 | −84.254 | 64.232 | 20.920 | −84.252 | 64.235 | 20.920 | 3.61 | 21 | −74.016 | 63.968 | 20.967 | −74.015 | 63.970 | 20.966 | 3.32 |
2 | −82.167 | 64.322 | 20.966 | −82.167 | 64.321 | 20.967 | 1.41 | 22 | −62.632 | 59.292 | 21.827 | −62.631 | 59.290 | 21.827 | 2.24 |
3 | −80.867 | 62.515 | 22.140 | −80.866 | 62.516 | 22.139 | 1.73 | 23 | −53.748 | 54.942 | 20.948 | −53.747 | 54.940 | 20.947 | 2.45 |
4 | −78.736 | 62.574 | 22.163 | −78.738 | 62.573 | 22.163 | 2.24 | 24 | −44.794 | 46.622 | 20.971 | −44.794 | 46.622 | 20.970 | 1.00 |
5 | −77.281 | 60.654 | 23.197 | −77.280 | 60.650 | 23.200 | 5.10 | 25 | −35.036 | 42.087 | 20.830 | −35.035 | 42.088 | 20.830 | 1.41 |
6 | −67.997 | 62.617 | 20.965 | −66.998 | 62.615 | 20.964 | 2.45 | 26 | −30.997 | 40.764 | 21.221 | −30.998 | 40.762 | 21.220 | 2.45 |
7 | −71.404 | 58.947 | 23.687 | −71.400 | 58.945 | 23.688 | 4.58 | 27 | −25.237 | 39.024 | 21.301 | −25.240 | 39.025 | 21.300 | 3.32 |
8 | −56.182 | 53.738 | 22.395 | −56.180 | 53.736 | 22.395 | 2.83 | 28 | −19.314 | 39.568 | 21.578 | −19.315 | 39.570 | 21.575 | 3.74 |
9 | −48.681 | 37.692 | 23.189 | −48.685 | 37.690 | 23.185 | 6.00 | 29 | −15.591 | 37.668 | 22.395 | −15.590 | 37.668 | 22.395 | 1.00 |
10 | −37.482 | 40.874 | 21.387 | −37.482 | 40.874 | 21.387 | 0.00 | 30 | −9.474 | 40.393 | 21.819 | −9.475 | 40.392 | 21.820 | 1.73 |
11 | −21.574 | 36.957 | 22.145 | −21.575 | 36.958 | 22.145 | 1.41 | 31 | −1.713 | 42.471 | 21.072 | −1.715 | 42.471 | 21.075 | 3.61 |
12 | −13.290 | 41.456 | 21.026 | −13.290 | 41.450 | 21.027 | 6.08 | 32 | 5.447 | 42.301 | 21.065 | 5.447 | 42.300 | 21.065 | 1.00 |
13 | −5.562 | 42.298 | 21.070 | −5.566 | 42.297 | 21.068 | 4.58 | 33 | 13.464 | 38.590 | 22.238 | 13.465 | 38.590 | 22.236 | 2.24 |
14 | 9.450 | 40.388 | 21.839 | 9.453 | 40.382 | 21.940 | 6.78 | 34 | 20.998 | 40.350 | 20.944 | 21.000 | 40.350 | 20.945 | 2.24 |
15 | 17.244 | 40.207 | 21.239 | 17.248 | 40.207 | 21.236 | 5.00 | 35 | 26.997 | 40.351 | 20.877 | 26.998 | 40.350 | 20.879 | 2.45 |
16 | 31.022 | 40.810 | 20.926 | 31.025 | 40.810 | 20.925 | 3.16 | 36 | 40.967 | 44.594 | 20.902 | 40.965 | 44.592 | 20.901 | 3.00 |
17 | 48.042 | 48.028 | 21.448 | 48.042 | 48.027 | 21.448 | 1.00 | 37 | 51.338 | 50.088 | 21.892 | 51.342 | 50.085 | 21.891 | 5.10 |
18 | 60.424 | 53.535 | 23.734 | 60.428 | 53.535 | 23.735 | 4.12 | 38 | 63.299 | 57.342 | 22.950 | 63.300 | 57.342 | 22.950 | 1.00 |
19 | 82.912 | 62.362 | 21.969 | 82.915 | 62.362 | 21.970 | 3.16 | 39 | 78.715 | 62.585 | 22.013 | 78.715 | 62.584 | 22.015 | 2.24 |
20 | 91.013 | 45.253 | 23.219 | 91.015 | 45.253 | 23.220 | 2.24 | 40 | 86.317 | 64.027 | 20.906 | 86.315 | 64.028 | 20.905 | 2.45 |
Table 1 Sampling results of total station (partial)
节点 编号 | 本文方法计算坐标结果/m | 全站仪复核坐标结果/m | 位置 偏差/ mm | 节点 编号 | 本文方法计算坐标结果/m | 全站仪复核坐标结果/m | 位置 偏差/ mm | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
X | Y | Z | X | Y | Z | X | Y | Z | X | Y | Z | ||||
1 | −84.254 | 64.232 | 20.920 | −84.252 | 64.235 | 20.920 | 3.61 | 21 | −74.016 | 63.968 | 20.967 | −74.015 | 63.970 | 20.966 | 3.32 |
2 | −82.167 | 64.322 | 20.966 | −82.167 | 64.321 | 20.967 | 1.41 | 22 | −62.632 | 59.292 | 21.827 | −62.631 | 59.290 | 21.827 | 2.24 |
3 | −80.867 | 62.515 | 22.140 | −80.866 | 62.516 | 22.139 | 1.73 | 23 | −53.748 | 54.942 | 20.948 | −53.747 | 54.940 | 20.947 | 2.45 |
4 | −78.736 | 62.574 | 22.163 | −78.738 | 62.573 | 22.163 | 2.24 | 24 | −44.794 | 46.622 | 20.971 | −44.794 | 46.622 | 20.970 | 1.00 |
5 | −77.281 | 60.654 | 23.197 | −77.280 | 60.650 | 23.200 | 5.10 | 25 | −35.036 | 42.087 | 20.830 | −35.035 | 42.088 | 20.830 | 1.41 |
6 | −67.997 | 62.617 | 20.965 | −66.998 | 62.615 | 20.964 | 2.45 | 26 | −30.997 | 40.764 | 21.221 | −30.998 | 40.762 | 21.220 | 2.45 |
7 | −71.404 | 58.947 | 23.687 | −71.400 | 58.945 | 23.688 | 4.58 | 27 | −25.237 | 39.024 | 21.301 | −25.240 | 39.025 | 21.300 | 3.32 |
8 | −56.182 | 53.738 | 22.395 | −56.180 | 53.736 | 22.395 | 2.83 | 28 | −19.314 | 39.568 | 21.578 | −19.315 | 39.570 | 21.575 | 3.74 |
9 | −48.681 | 37.692 | 23.189 | −48.685 | 37.690 | 23.185 | 6.00 | 29 | −15.591 | 37.668 | 22.395 | −15.590 | 37.668 | 22.395 | 1.00 |
10 | −37.482 | 40.874 | 21.387 | −37.482 | 40.874 | 21.387 | 0.00 | 30 | −9.474 | 40.393 | 21.819 | −9.475 | 40.392 | 21.820 | 1.73 |
11 | −21.574 | 36.957 | 22.145 | −21.575 | 36.958 | 22.145 | 1.41 | 31 | −1.713 | 42.471 | 21.072 | −1.715 | 42.471 | 21.075 | 3.61 |
12 | −13.290 | 41.456 | 21.026 | −13.290 | 41.450 | 21.027 | 6.08 | 32 | 5.447 | 42.301 | 21.065 | 5.447 | 42.300 | 21.065 | 1.00 |
13 | −5.562 | 42.298 | 21.070 | −5.566 | 42.297 | 21.068 | 4.58 | 33 | 13.464 | 38.590 | 22.238 | 13.465 | 38.590 | 22.236 | 2.24 |
14 | 9.450 | 40.388 | 21.839 | 9.453 | 40.382 | 21.940 | 6.78 | 34 | 20.998 | 40.350 | 20.944 | 21.000 | 40.350 | 20.945 | 2.24 |
15 | 17.244 | 40.207 | 21.239 | 17.248 | 40.207 | 21.236 | 5.00 | 35 | 26.997 | 40.351 | 20.877 | 26.998 | 40.350 | 20.879 | 2.45 |
16 | 31.022 | 40.810 | 20.926 | 31.025 | 40.810 | 20.925 | 3.16 | 36 | 40.967 | 44.594 | 20.902 | 40.965 | 44.592 | 20.901 | 3.00 |
17 | 48.042 | 48.028 | 21.448 | 48.042 | 48.027 | 21.448 | 1.00 | 37 | 51.338 | 50.088 | 21.892 | 51.342 | 50.085 | 21.891 | 5.10 |
18 | 60.424 | 53.535 | 23.734 | 60.428 | 53.535 | 23.735 | 4.12 | 38 | 63.299 | 57.342 | 22.950 | 63.300 | 57.342 | 22.950 | 1.00 |
19 | 82.912 | 62.362 | 21.969 | 82.915 | 62.362 | 21.970 | 3.16 | 39 | 78.715 | 62.585 | 22.013 | 78.715 | 62.584 | 22.015 | 2.24 |
20 | 91.013 | 45.253 | 23.219 | 91.015 | 45.253 | 23.220 | 2.24 | 40 | 86.317 | 64.027 | 20.906 | 86.315 | 64.028 | 20.905 | 2.45 |
测量方法 | 外业 工作量 | 内业 工作量 | 总工 作量 |
---|---|---|---|
皮尺测量 | 12.5 | 5.0 | 17.5 |
全站仪测量 | 8.0 | 1.0 | 9.0 |
三维扫描+人工拾取 | 2.0 | 3.0 | 5.0 |
三维扫描+算法提取(本文) | 2.0 | 0.5 | 2.5 |
Table 2 Comparison of workload of coordinate measurement methods for curtain wall nodes (man-day)
测量方法 | 外业 工作量 | 内业 工作量 | 总工 作量 |
---|---|---|---|
皮尺测量 | 12.5 | 5.0 | 17.5 |
全站仪测量 | 8.0 | 1.0 | 9.0 |
三维扫描+人工拾取 | 2.0 | 3.0 | 5.0 |
三维扫描+算法提取(本文) | 2.0 | 0.5 | 2.5 |
[1] | 闫翔宇, 齐国材, 马青. 空间网格结构焊接空心球节点刚度研究综述[J]. 天津大学学报: 自然科学与工程技术版, 2017, 50(S1): 84-94. |
YAN X Y, QI G C, MA Q. State-of-the-art of research on the stiffness of welded hollow spherical joints in spatial grid structure[J]. Journal of Tianjin University: Science and Technology, 2017, 50(S1): 84-94 (in Chinese). | |
[2] | 郭志强. 外倾阶梯式悬挑玻璃幕墙施工技术研究[J]. 铁道建筑技术, 2022(3): 187-190. |
GUO Z Q. Study on the construction technology of the external inclined stepped cantilevered glass curtain wall[J]. Railway Construction Technology, 2022(3): 187-190 (in Chinese). | |
[3] | 段文付, 张大伟. 光谷国际网球中心弧面菱形点式玻璃幕墙关键施工技术[J]. 施工技术, 2017, 46(2): 24-26, 108. |
DUAN W F, ZHANG D W. Key construction technology of rhombic-arc-point styled glass curtain wall of optical valley international tennis center[J]. Construction Technology, 2017, 46(2): 24-26, 108 (in Chinese). | |
[4] |
白永青, 杨雪姣. Trimble三维激光扫描在玻璃幕墙设计及安装中的应用[J]. 测绘通报, 2018(3): 152-154.
DOI |
BAI Y Q, YANG X J. Application of Trimble three dimensional laser scanning in design and installation of glass curtain wall[J]. Bulletin of Surveying and Mapping, 2018(3): 152-154 (in Chinese).
DOI |
|
[5] | 王代兵, 杨红岩, 邢亚飞, 等. BIM与三维激光扫描技术在天津周大福金融中心幕墙工程逆向施工中的应用[J]. 施工技术, 2017, 46(23): 10-13. |
WANG D B, YANG H Y, XING Y F, et al. Application of BIM and 3D laser scanning technology in converse construction of curtain wall in Tianjin CTF financial center project[J]. Construction Technology, 2017, 46(23): 10-13 (in Chinese). | |
[6] | 吴小平, 曹继柏. 双曲面双层镂空烤瓷铝板异型幕墙精细化施工[J]. 浙江建筑, 2021, 38(6): 45-47. |
WU X P, CAO J B. Fine construction analysis of double-layer hollow porcelain aluminum plate[J]. Zhejiang Construction, 2021, 38(6): 45-47 (in Chinese). | |
[7] | 秦国成, 任志平, 张兴志, 等. BIM结合三维激光扫描技术在异形幕墙设计上的应用[J]. 测绘科学技术学报, 2019, 36(5): 518-522. |
QIN G C, REN Z P, ZHANG X Z, et al. Application of BIM and 3D laser scanning technology in the design of special curtain wall[J]. Journal of Geomatics Science and Technology, 2019, 36(5): 518-522 (in Chinese). | |
[8] | 卞涛, 杨政宝, 曹大伟. 三维激光扫描技术在幕墙施工中的应用[J]. 中国建筑金属结构, 2013(15): 72-74. |
BIAN T, YANG Z B, CAO D W. Application of 3D laser scanning technology in curtain wall construction[J]. China Construction Metal Structure, 2013(15): 72-74 (in Chinese). | |
[9] | 李兆龙, 徐建全, 杨苏春. 青岛世园会植物馆幕墙工程新技术应用[J]. 青岛理工大学学报, 2015, 36(2): 122-127. |
LI Z L, XU J Q, YANG S C. Application of new technology to the curtain wall project of Qingdao International Horticultural Exposition Plant Hall[J]. Journal of Qingdao Technological University, 2015, 36(2): 122-127 (in Chinese). | |
[10] | 叶良生, 李海祥, 袁吉. 应用于幕墙领域的复杂钢结构快速返尺及整改技术[J]. 建筑施工, 2023, 45(2): 307-309. |
YE L S, LI H X, YUAN J. Rapid back gauge and rectification technology of complex steel structure applied in curtain wall field[J]. Building Construction, 2023, 45(2): 307-309 (in Chinese). | |
[11] | 姚宏, 姚娜, 刘迎新, 等. 青岛世园会植物馆幕墙工程三维激光扫描技术[J]. 施工技术, 2013, 42(21): 103-105. |
YAO H, YAO N, LIU Y X, et al. 3D laser scanning technology for plant museum curtain wall of Qingdao international horticultural exposition[J]. Construction Technology, 2013, 42(21): 103-105 (in Chinese). | |
[12] | 辛家舜, 王孙骏, 曹阳. 徐家汇体育公园“两馆一建”BIM综合应用[J]. 土木建筑工程信息技术, 2022, 14(4): 74-85. |
XIN J S, WANG S J, CAO Y. Comprehensive BIM application of “two halls and one construction” in Xujiahui sports park[J]. Journal of Information Technology in Civil Engineering and Architecture, 2022, 14(4): 74-85 (in Chinese). | |
[13] | 戴靠山, 罗明艳, 徐一智, 等. 三维激光扫描灰度信息在结构变形场计算中的应用[J]. 建筑结构学报, 2017, 38(3): 151-157. |
DAI K S, LUO M Y, XU Y Z, et al. Application of gray information in LiDAR scan point cloud data for structural deformation field calculation[J]. Journal of Building Structures, 2017, 38(3): 151-157 (in Chinese). | |
[14] | 齐宏拓, 刘界鹏, 程国忠, 等. 基于点云数据的大型复杂钢结构智能化施工方法[J/OL]. 土木工程学报, [2023-05-21]. https://doi.org/10.15951/j.tmgcxb.22090903. |
QI H T, LIU J P, CHENG G Z, et al. Intelligent construction of large and complex steel structure based on point cloud data[J/OL]. China Civil Engineering Journal, [2023-05-21]. https://doi.org/10.15951/j.tmgcxb.22090903. (in Chinese). | |
[15] | 程国忠, 周绪红, 刘界鹏, 等. 复杂超高层结构尺寸质量智能化检测方法[J]. 建筑结构学报, 2022, 43(7): 264-271. |
CHENG G Z, ZHOU X H, LIU J P, et al. Intelligent inspection method for dimensional quality of complex high-rise structures[J]. Journal of Building Structures, 2022, 43(7): 264-271 (in Chinese). | |
[16] |
BESL P J, MCKAY N D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2): 239-256.
DOI URL |
[17] | ESTER M, KRIEGEL H P, SANDER J, et al. A density-based algorithm for discovering clusters in large spatial databases with noise[C]// The 2nd International Conference on Knowledge Discovery and Data Mining. New York: ACM, 1996: 226-231. |
[18] | 史皓良, 吴禄慎. 基于Geomagic软件的钢轨弹条的逆向建模及误差分析[J]. 南昌大学学报: 工科版, 2016, 38(1): 55-59. |
SHI H L, WU L S. Reverse modeling and error analysis of elastic bar rail fastener based on Geomagic software[J]. Journal of Nanchang University: Engineering & Technology, 2016, 38(1): 55-59 (in Chinese). | |
[19] | 宗长富, 文龙, 何磊. 基于欧几里得聚类算法的三维激光雷达障碍物检测技术[J]. 吉林大学学报: 工学版, 2020, 50(1): 107-113. |
ZONG C F, WEN L, HE L. Object detection based on Euclidean clustering algorithm with 3D laser scanner[J]. Journal of Jilin University: Engineering and Technology Edition, 2020, 50(1): 107-113 (in Chinese). | |
[20] | 李仁忠, 杨曼, 冉媛, 等. 基于方法库的点云去噪与精简算法[J]. 激光与光电子学进展, 2018, 55(1): 251-257. |
LI R Z, YANG M, RAN Y, et al. Point cloud denoising and simplification algorithm based on method library[J]. Laser & Optoelectronics Progress, 2018, 55(1): 251-257 (in Chinese). | |
[21] |
FISCHLER M A, BOLLES R C. Random sample consensus[J]. Communications of the ACM, 1981, 24(6): 381-395.
DOI URL |
[22] |
LI Z X, SHAN J. RANSAC-based multi primitive building reconstruction from 3D point clouds[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 185: 247-260.
DOI URL |
[23] |
CHENG D Y, ZHAO D J, ZHANG J C, et al. PCA-based denoising algorithm for outdoor lidar point cloud data[J]. Sensors, 2021, 21(11): 3703.
DOI URL |
[24] | LEE D T, SCHACHTER B J. Two algorithms for constructing a Delaunay triangulation[J]. International Journal of Computer & Information Sciences, 1980, 9(3): 219-242. |
[25] |
HU Z Z, YUAN S, BENGHI C, et al. Geometric optimization of building information models in MEP projects: algorithms and techniques for improving storage, transmission and display[J]. Automation in Construction, 2019, 107: 102941.
DOI URL |
[1] | HAN Yazhen, YIN Mengxiao, MA Weizhao, YANG Shigeng, HU Jinfei, ZHU Congyang. DGOA: point cloud upsampling based on dynamic graph and offset attention [J]. Journal of Graphics, 2024, 45(1): 219-229. |
[2] | ZHOU Rui-chuang, TIAN Jin, YAN Feng-ting, ZHU Tian-xiao, ZHANG Yu-jin. Point cloud classification model incorporating external attention and graph convolution [J]. Journal of Graphics, 2023, 44(6): 1162-1172. |
[3] | WANG Ke-xin, JIN Ying-han, ZHANG Dong-liang. Virtual glasses try-on using a depth camera [J]. Journal of Graphics, 2023, 44(5): 988-996. |
[4] | LIU Yan, XIONG You-yi, HAN Miao-miao, YANG Long. Geometric feature guided multi-level segmentation for object point clouds [J]. Journal of Graphics, 2023, 44(4): 755-763. |
[5] | ZHAO Yu-kun, REN Shuang, ZHANG Xin-yun. A 3D point cloud defense framework combined with adversarial examples detection and reconstruction [J]. Journal of Graphics, 2023, 44(3): 560-569. |
[6] | LIANG AO, LI Zhi-han, HUA Hai-yang. PointMLP-FD: a point cloud classification model based on multi-level adaptive downsampling [J]. Journal of Graphics, 2023, 44(1): 112-119. |
[7] | CHEN Ya-chao, FAN Yan-guo, YU Ding-feng, FAN Bo-wen. Adaptive bilateral filtering point cloud smoothing and IMLS evaluation method considering normal outliers [J]. Journal of Graphics, 2023, 44(1): 131-138. |
[8] | WANG Jia-dong, CAO Juan, CHEN Zhong-gui. Feature-preserving skeleton extraction algorithm for point clouds [J]. Journal of Graphics, 2023, 44(1): 146-157. |
[9] | CUI Zhen-dong , LI Zong-min, YANG Shu-lin , LIU Yu-jie , LI Hua. 3D object detection based on semantic segmentation guidance [J]. Journal of Graphics, 2022, 43(6): 1134-1142. |
[10] | WANG Hao, ZHENG De-hua, LIU Cun-tai, CHENG Yu-xiang, HU Chuang. Research on automatic extraction of spherical targets based on SHOT feature descriptor [J]. Journal of Graphics, 2022, 43(5): 849-857. |
[11] | HUANG Xiang, WANG Hong-xing, GU Xu, MENG Yue, WANG Hao-yu. A new 3D point clouds feature selection method using specific outliers optimization [J]. Journal of Graphics, 2022, 43(5): 884-891. |
[12] | LI Hai-peng, XU Dan, FU Yu-ting, LIU Yan-an, ZHANG Ting-ting. A scattered point cloud simplification algorithm based on FPFH feature extraction [J]. Journal of Graphics, 2022, 43(4): 599-607. |
[13] | LIU Yu-zhen, LI Nan, TAO Zhi-yong. Point cloud classification and segmentation based on ring query and channel attention [J]. Journal of Graphics, 2022, 43(4): 616-623. |
[14] |
LIU Shi-long, MA Zhi-liang.
A method for obtaining the complete point cloud of reinforcement skeletons based on a structured light camera
[J]. Journal of Graphics, 2022, 43(4): 633-640.
|
[15] | CHONG Si-jie, WANG Shi-wei, LIU Li-gang . Guided normal GPU filtering of depth images [J]. Journal of Graphics, 2022, 43(1): 118-124. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||