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基于地铁隧道的螺旋形扫描数据处理方法研究

Research on Spiral Scanning Data Processing Method Based on Subway Tunnel
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摘要 采用动态激光扫描技术对地铁隧道进行变形监测时,得到的隧道实际轮廓数据为螺旋线型。提出了一种直接对螺旋线形点云数据进行处理的方法,能够有效剔除扫描数据中的粗大误差,剔除粗差后的数据进一步经过曲线光顺处理和三次B样条曲面重建后能够得到比较理想的隧道曲面重建效果,并选取一段实测数据论证了该方法的拟合精度和适用性。 The deformation of tunnel is monitored by moving laser scanning technology.Its actual contour data shows spiral line.This paper presents a method for processing the spiral point cloud data directly.This method can be used to effectively eliminate the gross error in scanning data.After the data of the coarse difference is further processed by the curve fairing and the three B spline surface reconstruction,the ideal reconstruction effect of the tunnel surface can be obtained.The accuracy and applicability of this method are demonstrated by selecting a measured data.
作者 刘晓曼 王自力 林建辉 LIU Xiaoman;WANG Zili;LIN Jianhui(State-Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,China)
出处 《机械制造与自动化》 2019年第2期105-109,共5页 Machine Building & Automation
基金 国家重点基础研究发展计划973课题(2013CB036206)
关键词 曲面重建 剔除粗差 三次B样条 螺旋形扫描数据 surface reconstruction gross error elimination cubic B-spline spiral scan data
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