为解决装配式地铁车站工程预制构件常因质量检验工作任务繁重且误差较大而造成质量不合格及无法精准安装的问题，将BIM+三维激光扫描技术应用于装配式地铁车站工程预制构件生产质量检验中，通过建立预制构件BIM模型与三维点云模型进行虚拟预拼装，检验加工精度，避免现场安装过程中因构件质量问题而造成浪费。运用灰色预测方法构建GM（1，1）灰色预测模型，预测装配式地铁车站多个预制构件拼装后的累计误差，并以此对虚拟预拼装检验结果进行对比验证。结果表明： 1）本次质量检验的7块构件加工误差均在规范允许范围内； 2）整环累计拼装误差为13.920 mm，其中，C1块与D块间拼装误差达4.150 mm，其他相邻块纵缝间隙均小于3 mm； 3）虚拟预拼装误差检验结果与GM（1，1）模型灰色预测结果拟合较好，最大偏差仅为0.407 mm。
During the assembly of prefabricated metro components,
poor installation quality and accuracy problems often arise due to heavy
quality inspection works and large errors. Thus, building information
modeling(BIM) and threedimensional (3D) laser scanning
technology are adopted to mitigate these problems. Using BIM and 3D point cloud
modeling for prefabricated components, virtual preassembly is performed to
check the processing accuracy to avoid unnecessary waste due to component
quality problems in the onsite installation process. Then, the gray prediction
method is used to construct the gray model GM (1, 1) to predict the cumulative
error of the assembly of multiple prefabricated components in the prefabricated
metro station and employed to compare and verify the virtual preassembly
inspection results. The findings of this study are as follows. (1) The
processing errors of seven components in the quality inspection are all within
the specification range. (2) The cumulative assembly error, assembly error
between blocks C1 and D, and the gap between the longitudinal seams of other
adjacent blocks of the entire ring are13.920, 4.150, and <3 mm. (3) The
virtual preassembly error test results fit well with the gray prediction
results of the GM (1, 1) model, and the maximum error is only 0.407mm.
