Article(id=1217789889077236518, tenantId=1146029695717560320, journalId=1146123166801305609, issueId=1217789884081820362, articleNumber=null, orderNo=null, doi=10.12404/j.issn.1671-1815.2406516, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1724947200000, receivedDateStr=2024-08-30, revisedDate=1744646400000, revisedDateStr=2025-04-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1768273334998, onlineDateStr=2026-01-13, pubDate=1753632000000, pubDateStr=2025-07-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1768273334998, onlineIssueDateStr=2026-01-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1768273334998, creator=13701087609, updateTime=1768273334998, updator=13701087609, issue=Issue{id=1217789884081820362, tenantId=1146029695717560320, journalId=1146123166801305609, year='2025', volume='25', issue='21', pageStart='8761', pageEnd='9209', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1768273333807, creator=13701087609, updateTime=1768273602927, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1217791012932604619, tenantId=1146029695717560320, journalId=1146123166801305609, issueId=1217789884081820362, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1217791012932604620, tenantId=1146029695717560320, journalId=1146123166801305609, issueId=1217789884081820362, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=9148, endPage=9157, ext={EN=ArticleExt(id=1217789889597330238, articleId=1217789889077236518, tenantId=1146029695717560320, journalId=1146123166801305609, language=EN, title=Extracting Arch Rib Shape of Steel Arch Bridges Using Improved DBSCAN Algorithm Integrated with RANSAC, columnId=1156262728772735295, journalTitle=Science Technology and Engineering, columnName=Papers·Traffics and Transportations, runingTitle=null, highlight=null, articleAbstract=
The alignment monitoring of steel arch bridges constitutes an essential component of bridge health monitoring systems. Three-dimensional laser scanning technology was utilized, and the traditional density-based spatial clustering of applications with noise(DBSCAN) algorithm was improved by integrating the random sample consensus(RANSAC) algorithm to extract the alignment of steel arch bridge ribs. Three-dimensional laser point cloud data, characterized by its comprehensiveness and detailed representation, is capable of fully presenting the structural shape and deformation information of the bridge. The RANSAC-integrated improved DBSCAN algorithm, constrained by the structural features of the steel arch bridge, effectively achieves the removal of discrete points as well as point clouds from the bridge deck, cross bracing, lateral connections, and web members. Point clouds extracted using the RANSAC-integrated improved DBSCAN algorithm are fitted to identify key points, and a comparison is made with results obtained manually. The extraction errors for the key points of the arch ribs are all within the millimeter range, with the maximum error being 9.2 mm and the minimum error being 0.1 mm. This extraction method is demonstrated to more accurately and effectively accomplish the alignment extraction of steel arch bridges, achieving millimeter-level precision in alignment extraction. It significantly reduces labor and time costs, provides better robustness for the complex structures of steel arch bridges, and adapts well to practical production demands.
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钢拱桥的线形监测是桥梁健康监测系统的重要组成部分。运用三维激光扫描技术,融合随机抽样一致(random sample consensus,RANSAC)算法对传统的具有噪声的基于密度的聚类方法(density-based spatial clustering of applications with noise,DBSCAN)算法进行改进,对钢拱桥拱肋线形进行提取。三维激光点云数据具有全面性和细节体现的优势,能够完整地呈现桥梁结构的形状和变形信息,融合RANSAC的改进DBSCAN算法根据钢拱桥结构特征对聚类结果进行约束,能够很好地实现删除离散点及桥面、横撑、横联和腹杆部分的点云这一目的。根据融合RANSAC的改进DBSCAN算法提取出的点云进行关键点拟合,与人工提取结果进行对比,拱肋关键点提取误差均在毫米级,最大误差为9.2 mm,最小误差为0.1 mm,此提取方法能够更加准确有效地完成钢拱桥线形提取,使线形提取精度达到毫米级,大大降低了人力成本和时间成本,对钢拱桥的复杂结构有更好的鲁棒性,能很好地适应实际生产需求。
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潘国兵(1976—),男,汉族,四川眉山人,博士,教授。研究方向:智能测绘。E-mail:panguobing@126.com。
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潘国兵(1976—),男,汉族,四川眉山人,博士,教授。研究方向:智能测绘。E-mail:panguobing@126.com。
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Comparison of clustering effects between the improved DBSCAN algorithm integrated with RANSAC and the original DBSCAN algorithm, figureFileSmall=IJb+KOZ12kbPvm6WUjTObA==, figureFileBig=qdw+oOBzqNf1fHjwBFrnjw==, tableContent=null), ArticleFig(id=1217860113927426305, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图1, caption=
融合RANSAC的改进DBSCAN算法与DBSCAN算法聚类对比效果, figureFileSmall=IJb+KOZ12kbPvm6WUjTObA==, figureFileBig=qdw+oOBzqNf1fHjwBFrnjw==, tableContent=null), ArticleFig(id=1217860114179084577, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.2, caption=
Raw point cloud data of the steel arch bridge, figureFileSmall=Qm4O+HIinaseoaCqqltfqw==, figureFileBig=YDnoS8VI2aGhBNaJFysFdQ==, tableContent=null), ArticleFig(id=1217860114405577011, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图2, caption=
钢拱桥原始点云数据, figureFileSmall=Qm4O+HIinaseoaCqqltfqw==, figureFileBig=YDnoS8VI2aGhBNaJFysFdQ==, tableContent=null), ArticleFig(id=1217860114552377672, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.3, caption=
Preprocessed raw point cloud data of the steel arch bridge, figureFileSmall=Udq0j69c8s46cjHyX0of7g==, figureFileBig=8mhzKJdYZJ/gWwbZ+9eSVg==, tableContent=null), ArticleFig(id=1217860114678206807, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图3, caption=
初步处理后的钢拱桥原始点云数据, figureFileSmall=Udq0j69c8s46cjHyX0of7g==, figureFileBig=8mhzKJdYZJ/gWwbZ+9eSVg==, tableContent=null), ArticleFig(id=1217860115995218282, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.4, caption=
Preprocessed point cloud data of key parts of the arch rib, figureFileSmall=/zSUBWTni3nagKlnNYo0qw==, figureFileBig=RirHnawzV7ZPBbdlnHPpEg==, tableContent=null), ArticleFig(id=1217860116121047413, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图4, caption=
初步处理后的拱肋关键部分点云, figureFileSmall=/zSUBWTni3nagKlnNYo0qw==, figureFileBig=RirHnawzV7ZPBbdlnHPpEg==, tableContent=null), ArticleFig(id=1217860116234293630, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.5, caption=
Clustering of the point cloud on both sides of the arch rib using the improved DBSCAN algorithm integrated with RANSAC, figureFileSmall=cquNCsGDH5Q9xDLwh5KNsQ==, figureFileBig=xaalmfzH6EDCK5XGu+ZFUA==, tableContent=null), ArticleFig(id=1217860116452397456, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图5, caption=
对拱肋两侧点云进行融合RANSAC的DBSCAN聚类, figureFileSmall=cquNCsGDH5Q9xDLwh5KNsQ==, figureFileBig=xaalmfzH6EDCK5XGu+ZFUA==, tableContent=null), ArticleFig(id=1217860116586615197, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.6, caption=
Clustering of the point cloud at the bottom of the arch rib using the improved DBSCAN algorithm integrated with RANSAC, figureFileSmall=Ujyrf9QRZwxtmxHD9Rd07g==, figureFileBig=dnFnUb4buUlHeUzmM+C0ww==, tableContent=null), ArticleFig(id=1217860116712444329, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图6, caption=
对拱肋底部点云进行融合RANSAC的DBSCAN聚类, figureFileSmall=Ujyrf9QRZwxtmxHD9Rd07g==, figureFileBig=dnFnUb4buUlHeUzmM+C0ww==, tableContent=null), ArticleFig(id=1217860116859244987, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.7, caption=
Comparison of DBSCAN clustering and RANSAC-integrated DBSCAN clustering results for point clouds on both sides of the arch rib, figureFileSmall=h+mW/iVjREmOLfAeIk27Pg==, figureFileBig=JYguyHt+tCm7uWYpB4dSng==, tableContent=null), ArticleFig(id=1217860117027017167, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图7, caption=
拱肋两侧点云的DBSCAN聚类与融合RANSAC的DBSCAN聚类结果对比, figureFileSmall=h+mW/iVjREmOLfAeIk27Pg==, figureFileBig=JYguyHt+tCm7uWYpB4dSng==, tableContent=null), ArticleFig(id=1217860117157040607, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.8, caption=
Comparison of DBSCAN clustering and RANSAC-integrated DBSCAN clustering results for point clouds at the bottom of the arch rib, figureFileSmall=pLaoR9JNgUhGli1yFEp8WA==, figureFileBig=ngrpOK+GxlM8JwKc1AVooQ==, tableContent=null), ArticleFig(id=1217860117303841259, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图8, caption=
拱肋底部点云的DBSCAN聚类与融合RANSAC的DBSCAN聚类结果对比, figureFileSmall=pLaoR9JNgUhGli1yFEp8WA==, figureFileBig=ngrpOK+GxlM8JwKc1AVooQ==, tableContent=null), ArticleFig(id=1217860117412893177, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.9, caption=
Filtered point cloud results of the arch rib section, figureFileSmall=trYCTlkOhgFl86JfW7YucA==, figureFileBig=/vW5qXDSSx/Pe2QWvhQIRg==, tableContent=null), ArticleFig(id=1217860117563888139, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图9, caption=
对桥梁拱肋部分点云筛选结果, figureFileSmall=trYCTlkOhgFl86JfW7YucA==, figureFileBig=/vW5qXDSSx/Pe2QWvhQIRg==, tableContent=null), ArticleFig(id=1217860117693911576, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Fig.10, caption=
Distribution of differences in key points of the arch rib, figureFileSmall=Pb61Neh8YXdcU5See2PWuw==, figureFileBig=NqfBc10E1eKFPIAZnd2zYA==, tableContent=null), ArticleFig(id=1217860117807157801, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=图10, caption=
拱肋关键点差值分布, figureFileSmall=Pb61Neh8YXdcU5See2PWuw==, figureFileBig=NqfBc10E1eKFPIAZnd2zYA==, tableContent=null), ArticleFig(id=1217860117916209717, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Table 1, caption=
Comparison of key points in the point cloud at the bottom of the arch rib
, figureFileSmall=null, figureFileBig=null, tableContent=
里程 桩号/m | 下游下侧拱肋下弦杆最低点 | | 下游上侧拱肋下弦杆最低点 | | 上游下侧拱肋下弦杆最低点 | | 上游上侧拱肋下弦杆最低点 |
人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm |
| K0+49.000 | 209.008 9 | 209.005 8 | 3.1 | | 208.995 8 | 209.001 9 | -6.1 | | 209.006 7 | 209.013 6 | -6.9 | | 208.987 0 | 208.987 5 | -0.5 |
| K0+57.000 | 213.271 3 | 213.276 8 | -5.5 | | 213.264 1 | 213.271 5 | -7.4 | | 213.269 2 | 213.277 6 | -8.4 | | 213.254 3 | 213.260 7 | -6.4 |
| K0+65.000 | 217.009 3 | 217.004 7 | 4.6 | | 217.007 2 | 217.007 3 | -0.1 | | 217.006 4 | 217.009 3 | -2.9 | | 217.002 6 | 217.003 7 | -1.1 |
| K0+73.000 | 220.271 7 | 220.275 4 | -3.7 | | 220.270 0 | 220.269 8 | 0.2 | | 220.270 8 | 220.272 1 | -1.3 | | 220.269 1 | 220.277 6 | -8.5 |
| K0+81.000 | 223.071 1 | 223.072 3 | -1.2 | | 223.065 4 | 223.072 3 | -6.9 | | 223.058 5 | 223.061 0 | -2.5 | | 223.047 9 | 223.049 5 | -1.6 |
| K0+89.000 | 225.420 0 | 225.420 3 | -0.3 | | 225.414 3 | 225.422 0 | -7.7 | | 225.404 3 | 225.409 4 | -5.1 | | 225.393 3 | 225.394 8 | -1.5 |
| K0+97.000 | 227.305 9 | 227.308 8 | -2.8 | | 227.300 8 | 227.305 8 | -5.0 | | 227.304 1 | 227.311 0 | -6.9 | | 227.292 8 | 227.295 4 | -2.6 |
| K0+105.000 | 228.790 1 | 228.793 9 | -3.8 | | 228.784 3 | 228.786 9 | -2.6 | | 228.784 9 | 228.787 6 | -2.7 | | 228.769 7 | 228.771 6 | -1.9 |
| K0+113.000 | 229.826 2 | 229.832 1 | -5.9 | | 229.810 8 | 229.818 2 | -7.4 | | 229.821 0 | 229.822 5 | -1.5 | | 229.815 6 | 229.818 2 | -2.6 |
| K0+121.000 | 230.478 7 | 230.476 1 | 2.6 | | 230.468 6 | 230.473 7 | -5.1 | | 230.451 3 | 230.453 9 | -2.6 | | 230.465 3 | 230.466 4 | -1.1 |
| K0+129.000 | 230.683 9 | 230.688 5 | -4.6 | | 230.676 1 | 230.676 8 | -0.7 | | 230.662 1 | 230.662 4 | -0.3 | | 230.672 0 | 230.673 6 | -1.6 |
| K0+137.000 | 230.467 3 | 230.466 2 | 1.1 | | 230.465 9 | 230.466 8 | -0.9 | | 230.447 3 | 230.451 5 | -4.2 | | 230.447 0 | 230.454 0 | -7.0 |
| K0+145.000 | 229.812 5 | 229.820 8 | -8.3 | | 229.813 5 | 229.816 5 | -3.0 | | 229.810 9 | 229.811 0 | -0.1 | | 229.813 2 | 229.814 4 | -1.2 |
| K0+153.000 | 228.782 5 | 228.778 4 | 4.1 | | 228.779 5 | 228.788 4 | -8.9 | | 228.788 2 | 228.790 5 | -2.3 | | 228.777 5 | 228.770 7 | 6.8 |
| K0+161.000 | 227.306 7 | 227.299 8 | 6.9 | | 227.306 1 | 227.314 4 | -8.3 | | 227.316 1 | 227.317 5 | -1.4 | | 227.313 9 | 227.317 1 | -3.2 |
| K0+169.000 | 225.416 0 | 225.416 8 | -0.8 | | 225.409 0 | 225.408 3 | 0.7 | | 225.424 2 | 225.425 1 | -0.9 | | 225.423 1 | 225.420 4 | 2.7 |
| K0+177.000 | 223.065 2 | 223.059 9 | 5.3 | | 223.064 4 | 223.067 5 | -3.1 | | 223.071 7 | 223.075 5 | -3.8 | | 223.070 9 | 223.068 9 | 2.0 |
| K0+185.000 | 220.275 4 | 220.267 7 | 7.7 | | 220.267 4 | 220.260 9 | 6.5 | | 220.275 6 | 220.282 4 | -6.8 | | 220.281 4 | 220.282 7 | -1.3 |
| K0+193.000 | 217.011 1 | 217.011 6 | -0.5 | | 217.003 1 | 217.001 6 | 1.5 | | 217.004 7 | 217.007 3 | -2.6 | | 217.017 5 | 217.015 8 | 1.7 |
| K0+201.000 | 213.261 4 | 213.270 4 | -9.0 | | 213.259 7 | 213.259 1 | 0.6 | | 213.253 0 | 213.251 1 | 1.9 | | 213.266 0 | 213.258 9 | 7.1 |
| K0+209.000 | 208.991 3 | 208.989 0 | 2.3 | | 208.990 8 | 208.995 3 | -4.5 | | 208.981 7 | 208.981 0 | 0.8 | | 208.991 4 | 208.989 6 | 1.8 |
| K0+217.000 | 204.200 6 | 204.197 5 | 3.1 | | 204.197 2 | 204.192 5 | 4.7 | | 204.192 8 | 204.183 6 | 9.2 | | 204.202 8 | 204.205 3 | -2.5 |
), ArticleFig(id=1217860118113342013, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=表1, caption=
拱肋底部点云关键点对比
, figureFileSmall=null, figureFileBig=null, tableContent=
里程 桩号/m | 下游下侧拱肋下弦杆最低点 | | 下游上侧拱肋下弦杆最低点 | | 上游下侧拱肋下弦杆最低点 | | 上游上侧拱肋下弦杆最低点 |
人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm |
| K0+49.000 | 209.008 9 | 209.005 8 | 3.1 | | 208.995 8 | 209.001 9 | -6.1 | | 209.006 7 | 209.013 6 | -6.9 | | 208.987 0 | 208.987 5 | -0.5 |
| K0+57.000 | 213.271 3 | 213.276 8 | -5.5 | | 213.264 1 | 213.271 5 | -7.4 | | 213.269 2 | 213.277 6 | -8.4 | | 213.254 3 | 213.260 7 | -6.4 |
| K0+65.000 | 217.009 3 | 217.004 7 | 4.6 | | 217.007 2 | 217.007 3 | -0.1 | | 217.006 4 | 217.009 3 | -2.9 | | 217.002 6 | 217.003 7 | -1.1 |
| K0+73.000 | 220.271 7 | 220.275 4 | -3.7 | | 220.270 0 | 220.269 8 | 0.2 | | 220.270 8 | 220.272 1 | -1.3 | | 220.269 1 | 220.277 6 | -8.5 |
| K0+81.000 | 223.071 1 | 223.072 3 | -1.2 | | 223.065 4 | 223.072 3 | -6.9 | | 223.058 5 | 223.061 0 | -2.5 | | 223.047 9 | 223.049 5 | -1.6 |
| K0+89.000 | 225.420 0 | 225.420 3 | -0.3 | | 225.414 3 | 225.422 0 | -7.7 | | 225.404 3 | 225.409 4 | -5.1 | | 225.393 3 | 225.394 8 | -1.5 |
| K0+97.000 | 227.305 9 | 227.308 8 | -2.8 | | 227.300 8 | 227.305 8 | -5.0 | | 227.304 1 | 227.311 0 | -6.9 | | 227.292 8 | 227.295 4 | -2.6 |
| K0+105.000 | 228.790 1 | 228.793 9 | -3.8 | | 228.784 3 | 228.786 9 | -2.6 | | 228.784 9 | 228.787 6 | -2.7 | | 228.769 7 | 228.771 6 | -1.9 |
| K0+113.000 | 229.826 2 | 229.832 1 | -5.9 | | 229.810 8 | 229.818 2 | -7.4 | | 229.821 0 | 229.822 5 | -1.5 | | 229.815 6 | 229.818 2 | -2.6 |
| K0+121.000 | 230.478 7 | 230.476 1 | 2.6 | | 230.468 6 | 230.473 7 | -5.1 | | 230.451 3 | 230.453 9 | -2.6 | | 230.465 3 | 230.466 4 | -1.1 |
| K0+129.000 | 230.683 9 | 230.688 5 | -4.6 | | 230.676 1 | 230.676 8 | -0.7 | | 230.662 1 | 230.662 4 | -0.3 | | 230.672 0 | 230.673 6 | -1.6 |
| K0+137.000 | 230.467 3 | 230.466 2 | 1.1 | | 230.465 9 | 230.466 8 | -0.9 | | 230.447 3 | 230.451 5 | -4.2 | | 230.447 0 | 230.454 0 | -7.0 |
| K0+145.000 | 229.812 5 | 229.820 8 | -8.3 | | 229.813 5 | 229.816 5 | -3.0 | | 229.810 9 | 229.811 0 | -0.1 | | 229.813 2 | 229.814 4 | -1.2 |
| K0+153.000 | 228.782 5 | 228.778 4 | 4.1 | | 228.779 5 | 228.788 4 | -8.9 | | 228.788 2 | 228.790 5 | -2.3 | | 228.777 5 | 228.770 7 | 6.8 |
| K0+161.000 | 227.306 7 | 227.299 8 | 6.9 | | 227.306 1 | 227.314 4 | -8.3 | | 227.316 1 | 227.317 5 | -1.4 | | 227.313 9 | 227.317 1 | -3.2 |
| K0+169.000 | 225.416 0 | 225.416 8 | -0.8 | | 225.409 0 | 225.408 3 | 0.7 | | 225.424 2 | 225.425 1 | -0.9 | | 225.423 1 | 225.420 4 | 2.7 |
| K0+177.000 | 223.065 2 | 223.059 9 | 5.3 | | 223.064 4 | 223.067 5 | -3.1 | | 223.071 7 | 223.075 5 | -3.8 | | 223.070 9 | 223.068 9 | 2.0 |
| K0+185.000 | 220.275 4 | 220.267 7 | 7.7 | | 220.267 4 | 220.260 9 | 6.5 | | 220.275 6 | 220.282 4 | -6.8 | | 220.281 4 | 220.282 7 | -1.3 |
| K0+193.000 | 217.011 1 | 217.011 6 | -0.5 | | 217.003 1 | 217.001 6 | 1.5 | | 217.004 7 | 217.007 3 | -2.6 | | 217.017 5 | 217.015 8 | 1.7 |
| K0+201.000 | 213.261 4 | 213.270 4 | -9.0 | | 213.259 7 | 213.259 1 | 0.6 | | 213.253 0 | 213.251 1 | 1.9 | | 213.266 0 | 213.258 9 | 7.1 |
| K0+209.000 | 208.991 3 | 208.989 0 | 2.3 | | 208.990 8 | 208.995 3 | -4.5 | | 208.981 7 | 208.981 0 | 0.8 | | 208.991 4 | 208.989 6 | 1.8 |
| K0+217.000 | 204.200 6 | 204.197 5 | 3.1 | | 204.197 2 | 204.192 5 | 4.7 | | 204.192 8 | 204.183 6 | 9.2 | | 204.202 8 | 204.205 3 | -2.5 |
), ArticleFig(id=1217860118369194570, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Table 2, caption=
Comparison of key points in the point cloud on both sides of the downstream arch rib
, figureFileSmall=null, figureFileBig=null, tableContent=
| 里程桩号/m | 下游下侧拱肋下弦杆下侧边线 | | 下游下侧拱肋下弦杆上侧边线 | | 下游上侧拱肋下弦杆下侧边线 | | 下游上侧拱肋下弦杆上侧边线 |
人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm |
| K0+24.000 | -8.365 2 | -8.363 5 | -1.7 | | -7.378 3 | -7.379 9 | 1.6 | | -6.465 9 | -6.463 4 | -2.5 | | -5.510 4 | -5.511 6 | 1.2 |
| K0+34.000 | -8.373 5 | -8.370 0 | -3.5 | | -7.388 2 | -7.390 0 | 1.8 | | -6.459 7 | -6.458 3 | -1.4 | | -5.498 3 | -5.501 3 | 3.0 |
| K0+44.000 | -8.348 2 | -8.347 0 | -1.3 | | -7.393 4 | -7.395 7 | 2.3 | | -6.458 7 | -6.455 8 | -2.9 | | -5.508 1 | -5.510 3 | 2.2 |
| K0+54.000 | -8.316 3 | -8.319 3 | 3.0 | | -7.404 5 | -7.406 6 | 2.1 | | -6.463 6 | -6.461 3 | -2.3 | | -5.519 4 | -5.521 7 | 2.3 |
| K0+64.000 | -8.323 6 | -8.326 2 | 2.6 | | -7.414 3 | -7.415 9 | 1.6 | | -6.469 1 | -6.468 0 | -1.1 | | -5.529 9 | -5.531 5 | 1.6 |
| K0+74.000 | -8.335 4 | -8.336 2 | 0.7 | | -7.433 9 | -7.439 8 | 5.9 | | -6.469 0 | -6.470 0 | 1.0 | | -5.541 1 | -5.537 0 | -4.1 |
| K0+84.000 | -8.328 5 | -8.330 3 | 1.8 | | -7.445 9 | -7.442 4 | -3.5 | | -6.469 2 | -6.470 5 | 1.3 | | -5.553 4 | -5.549 6 | -3.8 |
| K0+94.000 | -8.319 1 | -8.322 3 | 3.2 | | -7.446 0 | -7.445 8 | -0.2 | | -6.469 7 | -6.471 5 | 1.8 | | -5.565 0 | -5.563 7 | -1.3 |
| K0+104.000 | -8.311 3 | -8.316 2 | 4.9 | | -7.440 9 | -7.442 0 | 1.1 | | -6.469 0 | -6.471 2 | 2.2 | | -5.575 9 | -5.574 5 | -1.4 |
| K0+114.000 | -8.303 2 | -8.306 4 | 3.2 | | -7.436 1 | -7.436 8 | 0.7 | | -6.464 3 | -6.466 6 | 2.3 | | -5.566 7 | -5.565 6 | -1.1 |
| K0+124.000 | -8.313 3 | -8.315 6 | 2.3 | | -7.417 7 | -7.416 4 | -1.3 | | -6.448 4 | -6.451 2 | 2.8 | | -5.554 7 | -5.550 0 | -4.7 |
| K0+129.000 | -8.319 1 | -8.322 2 | 3.1 | | -7.408 5 | -7.405 5 | -3.0 | | -6.447 3 | -6.450 3 | 3.0 | | -5.548 4 | -5.544 1 | -4.4 |
| K0+134.000 | -8.325 6 | -8.327 8 | 2.2 | | -7.411 3 | -7.405 5 | -5.8 | | -6.453 3 | -6.456 5 | 3.2 | | -5.543 2 | -5.538 0 | -5.2 |
| K0+144.000 | -8.313 0 | -8.315 1 | 2.1 | | -7.448 8 | -7.442 6 | -6.2 | | -6.464 1 | -6.466 1 | 2.0 | | -5.540 0 | -5.539 9 | -0.1 |
| K0+154.000 | -8.304 0 | -8.307 2 | 3.2 | | -7.446 2 | -7.444 6 | -1.6 | | -6.475 4 | -6.479 0 | 3.6 | | -5.546 1 | -5.541 4 | -4.7 |
| K0+164.000 | -8.322 2 | -8.323 8 | 1.6 | | -7.437 7 | -7.443 8 | 6.1 | | -6.486 6 | -6.488 1 | 1.5 | | -5.551 8 | -5.546 6 | -5.2 |
| K0+174.000 | -8.338 4 | -8.339 6 | 1.2 | | -7.448 1 | -7.451 5 | 3.4 | | -6.495 2 | -6.497 6 | 2.4 | | -5.558 6 | -5.559 7 | 1.1 |
| K0+184.000 | -8.344 1 | -8.345 4 | 1.3 | | -7.455 3 | -7.457 2 | 1.9 | | -6.500 8 | -6.499 6 | -1.2 | | -5.563 1 | -5.569 9 | 6.7 |
| K0+194.000 | -8.351 7 | -8.353 8 | 2.1 | | -7.455 0 | -7.455 7 | 0.7 | | -6.503 9 | -6.502 3 | -1.6 | | -5.568 3 | -5.572 0 | 3.7 |
| K0+204.000 | -8.361 4 | -8.360 6 | -0.8 | | -7.455 3 | -7.456 4 | 1.1 | | -6.498 0 | -6.497 2 | -0.8 | | -5.573 8 | -5.571 7 | -2.1 |
| K0+214.000 | -8.371 5 | -8.370 5 | -1.0 | | -7.455 4 | -7.457 2 | 1.8 | | -6.491 6 | -6.489 8 | -1.8 | | -5.566 3 | -5.567 3 | 1.0 |
| K0+224.000 | -8.357 3 | -8.361 2 | 3.9 | | -7.456 9 | -7.458 3 | 1.4 | | -6.485 6 | -6.483 7 | -1.9 | | -5.541 9 | -5.544 8 | 2.9 |
| K0+234.000 | -8.335 5 | -8.339 6 | 4.1 | | -7.484 5 | -7.489 5 | 5.0 | | -6.474 5 | -6.471 9 | -2.6 | | -5.518 8 | -5.521 0 | 2.2 |
), ArticleFig(id=1217860118541161053, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=表2, caption=
下游拱肋两侧点云关键点对比
, figureFileSmall=null, figureFileBig=null, tableContent=
| 里程桩号/m | 下游下侧拱肋下弦杆下侧边线 | | 下游下侧拱肋下弦杆上侧边线 | | 下游上侧拱肋下弦杆下侧边线 | | 下游上侧拱肋下弦杆上侧边线 |
人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm |
| K0+24.000 | -8.365 2 | -8.363 5 | -1.7 | | -7.378 3 | -7.379 9 | 1.6 | | -6.465 9 | -6.463 4 | -2.5 | | -5.510 4 | -5.511 6 | 1.2 |
| K0+34.000 | -8.373 5 | -8.370 0 | -3.5 | | -7.388 2 | -7.390 0 | 1.8 | | -6.459 7 | -6.458 3 | -1.4 | | -5.498 3 | -5.501 3 | 3.0 |
| K0+44.000 | -8.348 2 | -8.347 0 | -1.3 | | -7.393 4 | -7.395 7 | 2.3 | | -6.458 7 | -6.455 8 | -2.9 | | -5.508 1 | -5.510 3 | 2.2 |
| K0+54.000 | -8.316 3 | -8.319 3 | 3.0 | | -7.404 5 | -7.406 6 | 2.1 | | -6.463 6 | -6.461 3 | -2.3 | | -5.519 4 | -5.521 7 | 2.3 |
| K0+64.000 | -8.323 6 | -8.326 2 | 2.6 | | -7.414 3 | -7.415 9 | 1.6 | | -6.469 1 | -6.468 0 | -1.1 | | -5.529 9 | -5.531 5 | 1.6 |
| K0+74.000 | -8.335 4 | -8.336 2 | 0.7 | | -7.433 9 | -7.439 8 | 5.9 | | -6.469 0 | -6.470 0 | 1.0 | | -5.541 1 | -5.537 0 | -4.1 |
| K0+84.000 | -8.328 5 | -8.330 3 | 1.8 | | -7.445 9 | -7.442 4 | -3.5 | | -6.469 2 | -6.470 5 | 1.3 | | -5.553 4 | -5.549 6 | -3.8 |
| K0+94.000 | -8.319 1 | -8.322 3 | 3.2 | | -7.446 0 | -7.445 8 | -0.2 | | -6.469 7 | -6.471 5 | 1.8 | | -5.565 0 | -5.563 7 | -1.3 |
| K0+104.000 | -8.311 3 | -8.316 2 | 4.9 | | -7.440 9 | -7.442 0 | 1.1 | | -6.469 0 | -6.471 2 | 2.2 | | -5.575 9 | -5.574 5 | -1.4 |
| K0+114.000 | -8.303 2 | -8.306 4 | 3.2 | | -7.436 1 | -7.436 8 | 0.7 | | -6.464 3 | -6.466 6 | 2.3 | | -5.566 7 | -5.565 6 | -1.1 |
| K0+124.000 | -8.313 3 | -8.315 6 | 2.3 | | -7.417 7 | -7.416 4 | -1.3 | | -6.448 4 | -6.451 2 | 2.8 | | -5.554 7 | -5.550 0 | -4.7 |
| K0+129.000 | -8.319 1 | -8.322 2 | 3.1 | | -7.408 5 | -7.405 5 | -3.0 | | -6.447 3 | -6.450 3 | 3.0 | | -5.548 4 | -5.544 1 | -4.4 |
| K0+134.000 | -8.325 6 | -8.327 8 | 2.2 | | -7.411 3 | -7.405 5 | -5.8 | | -6.453 3 | -6.456 5 | 3.2 | | -5.543 2 | -5.538 0 | -5.2 |
| K0+144.000 | -8.313 0 | -8.315 1 | 2.1 | | -7.448 8 | -7.442 6 | -6.2 | | -6.464 1 | -6.466 1 | 2.0 | | -5.540 0 | -5.539 9 | -0.1 |
| K0+154.000 | -8.304 0 | -8.307 2 | 3.2 | | -7.446 2 | -7.444 6 | -1.6 | | -6.475 4 | -6.479 0 | 3.6 | | -5.546 1 | -5.541 4 | -4.7 |
| K0+164.000 | -8.322 2 | -8.323 8 | 1.6 | | -7.437 7 | -7.443 8 | 6.1 | | -6.486 6 | -6.488 1 | 1.5 | | -5.551 8 | -5.546 6 | -5.2 |
| K0+174.000 | -8.338 4 | -8.339 6 | 1.2 | | -7.448 1 | -7.451 5 | 3.4 | | -6.495 2 | -6.497 6 | 2.4 | | -5.558 6 | -5.559 7 | 1.1 |
| K0+184.000 | -8.344 1 | -8.345 4 | 1.3 | | -7.455 3 | -7.457 2 | 1.9 | | -6.500 8 | -6.499 6 | -1.2 | | -5.563 1 | -5.569 9 | 6.7 |
| K0+194.000 | -8.351 7 | -8.353 8 | 2.1 | | -7.455 0 | -7.455 7 | 0.7 | | -6.503 9 | -6.502 3 | -1.6 | | -5.568 3 | -5.572 0 | 3.7 |
| K0+204.000 | -8.361 4 | -8.360 6 | -0.8 | | -7.455 3 | -7.456 4 | 1.1 | | -6.498 0 | -6.497 2 | -0.8 | | -5.573 8 | -5.571 7 | -2.1 |
| K0+214.000 | -8.371 5 | -8.370 5 | -1.0 | | -7.455 4 | -7.457 2 | 1.8 | | -6.491 6 | -6.489 8 | -1.8 | | -5.566 3 | -5.567 3 | 1.0 |
| K0+224.000 | -8.357 3 | -8.361 2 | 3.9 | | -7.456 9 | -7.458 3 | 1.4 | | -6.485 6 | -6.483 7 | -1.9 | | -5.541 9 | -5.544 8 | 2.9 |
| K0+234.000 | -8.335 5 | -8.339 6 | 4.1 | | -7.484 5 | -7.489 5 | 5.0 | | -6.474 5 | -6.471 9 | -2.6 | | -5.518 8 | -5.521 0 | 2.2 |
), ArticleFig(id=1217860118683767402, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=EN, label=Table 3, caption=
Comparison of key points in the point cloud on both sides of the upstream arch rib
, figureFileSmall=null, figureFileBig=null, tableContent=
| 里程桩号/m | 上游下侧拱肋上弦杆下侧边线 | | 上游下侧拱肋上弦杆上侧边线 | | 上游上侧拱肋上弦杆下侧边线 | | 上游上侧拱肋上弦杆上侧边线 |
人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm |
| K0+24.000 | 5.530 9 | 5.525 8 | 5.1 | | 6.505 7 | 6.503 0 | 2.7 | | 7.384 2 | 7.386 7 | -2.5 | | 8.376 0 | 8.373 8 | 2.2 |
| K0+34.000 | 5.523 6 | 5.518 8 | 4.9 | | 6.499 6 | 6.496 5 | 3.1 | | 7.392 4 | 7.394 5 | -2.1 | | 8.390 7 | 8.388 4 | 2.3 |
| K0+44.000 | 5.516 9 | 5.516 0 | 0.9 | | 6.494 5 | 6.491 8 | 2.7 | | 7.399 1 | 7.401 9 | -2.8 | | 8.402 7 | 8.400 0 | 2.7 |
| K0+54.000 | 5.519 3 | 5.522 4 | -3.1 | | 6.503 1 | 6.495 5 | 7.6 | | 7.406 4 | 7.408 6 | -2.2 | | 8.402 5 | 8.401 4 | 1.1 |
| K0+64.000 | 5.524 7 | 5.521 3 | 3.5 | | 6.504 6 | 6.502 4 | 2.2 | | 7.406 4 | 7.408 8 | -2.4 | | 8.402 9 | 8.401 7 | 1.2 |
| K0+74.000 | 5.531 5 | 5.533 5 | -2.0 | | 6.498 8 | 6.496 8 | 2.0 | | 7.406 1 | 7.408 6 | -2.5 | | 8.405 7 | 8.401 9 | 3.8 |
| K0+84.000 | 5.535 3 | 5.536 8 | -1.5 | | 6.491 8 | 6.487 1 | 4.7 | | 7.406 5 | 7.409 5 | -3.0 | | 8.412 7 | 8.411 6 | 1.1 |
| K0+94.000 | 5.535 1 | 5.536 2 | -1.1 | | 6.488 9 | 6.487 8 | 1.1 | | 7.406 3 | 7.408 2 | -1.9 | | 8.419 2 | 8.417 1 | 2.1 |
| K0+104.000 | 5.534 9 | 5.536 1 | -1.2 | | 6.482 4 | 6.474 4 | 8.0 | | 7.407 3 | 7.409 2 | -1.9 | | 8.422 9 | 8.420 4 | 2.5 |
| K0+114.000 | 5.535 5 | 5.537 6 | -2.1 | | 6.488 8 | 6.486 5 | 2.3 | | 7.412 4 | 7.415 4 | -3.0 | | 8.422 6 | 8.420 7 | 1.9 |
| K0+124.000 | 5.535 5 | 5.537 4 | -1.9 | | 6.501 9 | 6.498 4 | 3.5 | | 7.422 0 | 7.425 2 | -3.2 | | 8.421 2 | 8.418 4 | 2.8 |
| K0+129.000 | 5.535 4 | 5.538 5 | -3.1 | | 6.507 2 | 6.503 4 | 3.8 | | 7.427 1 | 7.430 2 | -3.1 | | 8.421 5 | 8.420 1 | 1.4 |
| K0+134.000 | 5.535 4 | 5.538 2 | -2.8 | | 6.513 2 | 6.510 0 | 3.2 | | 7.431 3 | 7.433 9 | -2.6 | | 8.421 9 | 8.420 5 | 1.4 |
| K0+144.000 | 5.535 2 | 5.536 4 | -1.1 | | 6.526 6 | 6.523 1 | 3.5 | | 7.402 5 | 7.404 6 | -2.1 | | 8.421 4 | 8.419 3 | 2.1 |
| K0+154.000 | 5.526 1 | 5.528 2 | -2.1 | | 6.539 1 | 6.537 0 | 2.1 | | 7.372 9 | 7.376 5 | -3.6 | | 8.421 2 | 8.417 3 | 3.9 |
| K0+164.000 | 5.514 3 | 5.515 6 | -1.3 | | 6.552 9 | 6.549 5 | 3.4 | | 7.364 7 | 7.369 0 | -4.3 | | 8.428 5 | 8.425 0 | 3.5 |
| K0+174.000 | 5.503 8 | 5.506 0 | -2.2 | | 6.566 6 | 6.562 9 | 3.7 | | 7.374 3 | 7.378 2 | -3.9 | | 8.435 7 | 8.432 5 | 3.2 |
| K0+184.000 | 5.493 4 | 5.497 2 | -3.8 | | 6.579 9 | 6.576 9 | 3.0 | | 7.381 1 | 7.385 3 | -4.2 | | 8.443 8 | 8.441 1 | 2.7 |
| K0+194.000 | 5.487 9 | 5.493 2 | -5.3 | | 6.589 7 | 6.585 7 | 4.0 | | 7.372 3 | 7.376 6 | -4.3 | | 8.449 6 | 8.447 7 | 1.9 |
| K0+204.000 | 5.480 1 | 5.484 9 | -4.8 | | 6.591 5 | 6.589 0 | 2.5 | | 7.363 4 | 7.368 2 | -4.8 | | 8.456 6 | 8.453 8 | 2.8 |
| K0+214.000 | 5.483 6 | 5.487 7 | -4.1 | | 6.594 8 | 6.592 6 | 2.2 | | 7.373 1 | 7.377 2 | -4.1 | | 8.462 9 | 8.460 4 | 2.5 |
| K0+224.000 | 5.496 1 | 5.499 5 | -3.4 | | 6.597 0 | 6.595 2 | 1.8 | | 7.407 0 | 7.411 1 | -4.1 | | 8.468 7 | 8.465 0 | 3.7 |
| K0+234.000 | 5.508 3 | 5.511 8 | -3.5 | | 6.599 7 | 6.598 1 | 1.6 | | 7.441 7 | 7.444 5 | -2.8 | | 8.474 5 | 8.472 0 | 2.5 |
), ArticleFig(id=1217860118834762366, tenantId=1146029695717560320, journalId=1146123166801305609, articleId=1217789889077236518, language=CN, label=表3, caption=
上游拱肋两侧点云关键点对比
, figureFileSmall=null, figureFileBig=null, tableContent=
| 里程桩号/m | 上游下侧拱肋上弦杆下侧边线 | | 上游下侧拱肋上弦杆上侧边线 | | 上游上侧拱肋上弦杆下侧边线 | | 上游上侧拱肋上弦杆上侧边线 |
人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm | | 人工提 取值/m | 算法提 取值/m | 差值/mm |
| K0+24.000 | 5.530 9 | 5.525 8 | 5.1 | | 6.505 7 | 6.503 0 | 2.7 | | 7.384 2 | 7.386 7 | -2.5 | | 8.376 0 | 8.373 8 | 2.2 |
| K0+34.000 | 5.523 6 | 5.518 8 | 4.9 | | 6.499 6 | 6.496 5 | 3.1 | | 7.392 4 | 7.394 5 | -2.1 | | 8.390 7 | 8.388 4 | 2.3 |
| K0+44.000 | 5.516 9 | 5.516 0 | 0.9 | | 6.494 5 | 6.491 8 | 2.7 | | 7.399 1 | 7.401 9 | -2.8 | | 8.402 7 | 8.400 0 | 2.7 |
| K0+54.000 | 5.519 3 | 5.522 4 | -3.1 | | 6.503 1 | 6.495 5 | 7.6 | | 7.406 4 | 7.408 6 | -2.2 | | 8.402 5 | 8.401 4 | 1.1 |
| K0+64.000 | 5.524 7 | 5.521 3 | 3.5 | | 6.504 6 | 6.502 4 | 2.2 | | 7.406 4 | 7.408 8 | -2.4 | | 8.402 9 | 8.401 7 | 1.2 |
| K0+74.000 | 5.531 5 | 5.533 5 | -2.0 | | 6.498 8 | 6.496 8 | 2.0 | | 7.406 1 | 7.408 6 | -2.5 | | 8.405 7 | 8.401 9 | 3.8 |
| K0+84.000 | 5.535 3 | 5.536 8 | -1.5 | | 6.491 8 | 6.487 1 | 4.7 | | 7.406 5 | 7.409 5 | -3.0 | | 8.412 7 | 8.411 6 | 1.1 |
| K0+94.000 | 5.535 1 | 5.536 2 | -1.1 | | 6.488 9 | 6.487 8 | 1.1 | | 7.406 3 | 7.408 2 | -1.9 | | 8.419 2 | 8.417 1 | 2.1 |
| K0+104.000 | 5.534 9 | 5.536 1 | -1.2 | | 6.482 4 | 6.474 4 | 8.0 | | 7.407 3 | 7.409 2 | -1.9 | | 8.422 9 | 8.420 4 | 2.5 |
| K0+114.000 | 5.535 5 | 5.537 6 | -2.1 | | 6.488 8 | 6.486 5 | 2.3 | | 7.412 4 | 7.415 4 | -3.0 | | 8.422 6 | 8.420 7 | 1.9 |
| K0+124.000 | 5.535 5 | 5.537 4 | -1.9 | | 6.501 9 | 6.498 4 | 3.5 | | 7.422 0 | 7.425 2 | -3.2 | | 8.421 2 | 8.418 4 | 2.8 |
| K0+129.000 | 5.535 4 | 5.538 5 | -3.1 | | 6.507 2 | 6.503 4 | 3.8 | | 7.427 1 | 7.430 2 | -3.1 | | 8.421 5 | 8.420 1 | 1.4 |
| K0+134.000 | 5.535 4 | 5.538 2 | -2.8 | | 6.513 2 | 6.510 0 | 3.2 | | 7.431 3 | 7.433 9 | -2.6 | | 8.421 9 | 8.420 5 | 1.4 |
| K0+144.000 | 5.535 2 | 5.536 4 | -1.1 | | 6.526 6 | 6.523 1 | 3.5 | | 7.402 5 | 7.404 6 | -2.1 | | 8.421 4 | 8.419 3 | 2.1 |
| K0+154.000 | 5.526 1 | 5.528 2 | -2.1 | | 6.539 1 | 6.537 0 | 2.1 | | 7.372 9 | 7.376 5 | -3.6 | | 8.421 2 | 8.417 3 | 3.9 |
| K0+164.000 | 5.514 3 | 5.515 6 | -1.3 | | 6.552 9 | 6.549 5 | 3.4 | | 7.364 7 | 7.369 0 | -4.3 | | 8.428 5 | 8.425 0 | 3.5 |
| K0+174.000 | 5.503 8 | 5.506 0 | -2.2 | | 6.566 6 | 6.562 9 | 3.7 | | 7.374 3 | 7.378 2 | -3.9 | | 8.435 7 | 8.432 5 | 3.2 |
| K0+184.000 | 5.493 4 | 5.497 2 | -3.8 | | 6.579 9 | 6.576 9 | 3.0 | | 7.381 1 | 7.385 3 | -4.2 | | 8.443 8 | 8.441 1 | 2.7 |
| K0+194.000 | 5.487 9 | 5.493 2 | -5.3 | | 6.589 7 | 6.585 7 | 4.0 | | 7.372 3 | 7.376 6 | -4.3 | | 8.449 6 | 8.447 7 | 1.9 |
| K0+204.000 | 5.480 1 | 5.484 9 | -4.8 | | 6.591 5 | 6.589 0 | 2.5 | | 7.363 4 | 7.368 2 | -4.8 | | 8.456 6 | 8.453 8 | 2.8 |
| K0+214.000 | 5.483 6 | 5.487 7 | -4.1 | | 6.594 8 | 6.592 6 | 2.2 | | 7.373 1 | 7.377 2 | -4.1 | | 8.462 9 | 8.460 4 | 2.5 |
| K0+224.000 | 5.496 1 | 5.499 5 | -3.4 | | 6.597 0 | 6.595 2 | 1.8 | | 7.407 0 | 7.411 1 | -4.1 | | 8.468 7 | 8.465 0 | 3.7 |
| K0+234.000 | 5.508 3 | 5.511 8 | -3.5 | | 6.599 7 | 6.598 1 | 1.6 | | 7.441 7 | 7.444 5 | -2.8 | | 8.474 5 | 8.472 0 | 2.5 |
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