Vehicle-mounted acquisition device for tunnel apparent image and control method thereof

Abstract

The invention discloses a vehicle-mounted acquisition device for tunnel apparent images and a control method of the vehicle-mounted acquisition device. The vehicle-mounted acquisition device mainly comprises an acquisition control host A, a linear array camera acquisition unit B, an intelligent support C, an intelligent support rotation control system D and an intelligent support telescopic control system E, the line-scan digital camera acquisition unit B is fixedly mounted on the intelligent bracket C, and a range finder F and a goniometer G are fixedly mounted in the line-scan digital camera acquisition unit B. F and G are used for determining attitude parameters of the linear array camera acquisition unit B and distance parameters from the camera to the tunnel wall, the acquisition control host A controls the B and realizes data acquisition of tunnel apparent images, and D and E are used for adjusting and controlling the intelligent support C. Through the vehicle-mounted acquisition device and the control method thereof, high-precision acquisition of tunnel apparent images can be realized.

Description

technical field [0001] The invention relates to the technical field of tunnel apparent image recognition, in particular to a tunnel apparent image intelligent acquisition device and a control method thereof. Background technique [0002] In 2021, the total mileage of highways in the country will be about 5.2 million kilometers, of which there will be 21,316 road tunnels and 21,999,300 linear meters by the end of 2020. Due to the changes of surrounding rock and soil mass, vehicle operation, external construction, and insufficient grouting, highway tunnel structures often suffer from diseases such as excessive deformation, water leakage, hollow bulges, and voids behind the structure, which directly threaten the safety of subway operation and structure. . Therefore, it is urgent to carry out tunnel inspection work to find out the current status of the tunnel structure, deal with the discovered diseases in time, and eliminate potential safety hazards. [0003] Most highway tun...

AI Technical Summary

Problems solved by technology

[0003] Most highway tunnels are of concrete structure. The environment inside the tunnel is dark and humid, and the lining surface is densely covered with pipelines. The color of tunnel cracks is similar to the color of some background structures, making it difficult to identify and distinguish. In addition, the cracks have different and irregular shapes. The description records of cracks Such as length, width and shape are also more complex

At present, most of the lining crack detection adopts artificial visual detection and crack detection technology based on image processing, and its detection efficiency and accuracy are difficult to meet the actual needs.

Images