Tunnel Lidar point cloud initial support surface early warning method adapted to different sections

Abstract

The invention discloses a tunnel Lidar point cloud initial support surface early warning method adapted to different sections. The tunnel Lidar point cloud initial support surface early warning methodcomprises the following steps: 1, establishing a parameter model in a design coordinate system according to arc or straight line element data in a tunnel design cross section; respectively calculating a direction angle of each element endpoint; 2, obtaining a section point set at the mileage according to the specified mileage on the center line of the tunnel line and the tangential direction of the mileage; 3, aligning the section point set and the parameter model in a design coordinate system; 4, searching a corresponding relation between the section point set and the parameter model; and 5,setting an initial support invasion threshold value, and performing early warning analysis on the tunnel initial support surface Lidar point cloud at one mileage or in one mileage section. The tunnelLidar point cloud initial support surface early warning method carries out point cloud initial support surface early warning analysis based on section curves or straight line elements in the tunnel design file, is suitable for tunnels of different section types, can carry out full-section analysis at any section mileage, and also can carry out overall analysis within any mileage range.

Description

technical field [0001] The invention relates to an early warning method for a point cloud primary support surface, in particular to a tunnel Lidar point cloud primary support surface early warning method suitable for different sections. Background technique [0002] With the development of 3D laser scanning technology, this technology has the advantages of fast scanning speed, high accuracy of point cloud acquisition, and little influence by external environment such as light and climate, etc. prospect. Since the tunnel primary surface is an important guarantee for the safety and quality of tunnel construction, monitoring and measuring the tunnel primary surface from the tunnel Lidar point cloud and early warning of the overrun area are the core and basic issues of safety monitoring during the tunnel construction process. [0003] Compared with the traditional total station monitoring method, the early warning method of tunnel primary branch surface based on Lidar point clo...

AI Technical Summary

Problems solved by technology

This method cannot monitor and measure the initial support surface of the tunnel at any mileage, and the monitoring points on the measurement section are limited, so the full-section early warning monitoring cannot be carried out

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