Shield tunnel slab staggering detection method, device and equipment and storage medium

The invention relates to the field of tunnel detection, and provides a shield tunnel slab staggering detection method and device, equipment and a storage medium. The method comprises the following steps: collecting laser point cloud data of a shield tunnel; according to a pre-trained point cloud data identification model, extracting point cloud data of a seam in the laser point cloud data; and carrying out slab staggering detection according to the point cloud data of the joints. Compared with a point cloud image recognition mode, the method has the advantages that detection calculation is performed by extracting the point cloud data of the joints, so that slab staggering detection data processing is simplified, slab staggering detection accuracy is improved, and deformation of the tunnel structure can be effectively detected. 本申请涉及隧道检测领域，提出了一种盾构隧道的错台检测方法、装置、设备及存储介质。该方法包括：采集盾构隧道的激光点云数据；根据预先训练完成的点云数据识别模型，提取所述激光点云数据中的接缝的点云数据；根据所述接缝的点云数据进行错台检测。相对于点云影像的识别方式，通过提取接缝的点云数据进行检测计算，有利于简化错台检测数据处理，提高错台检测的准确率，可有效的对隧道结构的变形进