Abstract: A tunnel operation robot includes a robot body, a walking module, a fixed wing module and a plurality of rotatable wing modules. Both sides of the robot body are provided with cantilever parts, which are collinearly arranged. The walking module is arranged on the robot body. The fixed wing module includes a fixed fan, is fixedly arranged on the robot body, and is configured to provide a pressure for the walking module to be attached to and pressed against the tunnel wall surface. The plurality of rotatable wing modules are respectively arranged on the cantilever parts on both sides of the robot body, and include a rotatable rotating fan and a wind direction adjustment driver. Each rotating fan has a rotation axis parallel to the cantilever parts and an air outlet direction perpendicular to the cantilever parts, and the wind direction adjustment driver is connected to the rotating fan.

Abstract: Disclosed is a method of high-precision 3D reconstruction of existing railway track lines based on UAV multi-view images, including: acquiring initial data, acquiring a UAV image rail top centerline, calculating a rail top centerline based on a nonlinear least squares method, and calculating three-dimensional coordinates of the rail centerline. Based on the multi-view geometry principle in computer vision and photogrammetry, object space coordinates of the line can be directly calculated by using image information, which does not require outdoor workers to work online and can effectively improve the safety of railway operation line surveying and mapping. Therefore, this method has important engineering application value and application prospect.