盾构机在掘进过程中，由于盾构姿态控制不当等因素，管片拼装时常发生错台值、椭圆度失准等工程质量问题，这些施工质量问题往往会威胁隧道的稳定性及安全性，为保证盾构隧道的安全施工，对盾构管片拼装质量进行及时反馈尤为重要。针对传统盾构管片拼装检测效率低，精度有限及检测数据全面性差等问题，应用三维激光扫描技术采集盾构管片拼装成型后的点云数据，对盾构管片的椭圆度和错台值进行测算;同时基于环缝中心点提取理论提出环段数据拟合提取隧道中轴线及中心点的方法，实现盾构管片拼装质量高精度、高效率、自动化的检测。结合实际盾构隧道工程案例分析，验证基于三维点云的盾构管片拼装质量偏差检测方法的可行性。结果表明，该方法可实现盾构施工管片拼装成型质量的高效自动化检测。

In the process of tunneling, due to the poor control of the shield machine posture or other factors, shield segment assembly often happen quality errors such as dislocation and ellipse deformation. This quality errors threaten the stability and safety of the tunnel, in order to ensure the safe construction of shield tunnel, it is critical to timely feedback the quality of shield segment assembly. In view of the difficulties, low efficiency, limited accuracy and incompleteness data in conventional quality of shield segment assembly, 3D laser scanning was introduced to conduct point cloud data that present the assembling of shield segment lining, the ellipticity and misalignment value of shield segments is respectively calculated; and based on the theory of center point extraction of ring seam data, a method of extracting the central axis and center point of tunnel by ring segment data fitting is proposed to realize high precision, high efficiency and automatic detection of shield segment assembly quality .Finally, a shield tunnel project is conducted to demonstrate and validate the proposed method. The results show that the proposed method can efficiently and automatically estimate the assembling quality of shield construction segment.

中国高校产学研创新基金