Tunnel crack detection system and method

Abstract

The invention discloses a tunnel crack detection system and method. The system comprises a remote base station, a wireless communication module, a detection trolley and a detection robot. The detection trolley is connected with the remote base station through the wireless communication module. The detection trolley is provided with the detection robot which can be disassembled and separated. A main control system is arranged in the detection trolley, and the main control system comprises a trolley motion control module and a robot control module. The trolley motion control module receives an action instruction issued by the remote base station and performs motion control on the detection trolley. The robot control module receives a working instruction issued by the remote base station, drives the detection robot to move in a tunnel and perform crack detection work, and transmits detection information to the remote base station through the wireless communication module. The detection system is scientific, convenient, high in pertinence, convenient to use, low in cost, easy to operate and easy to popularize.

Description

technical field [0001] The invention relates to the field of tunnel detection, in particular to a tunnel-based crack detection system and method. Background technique [0002] With the sustained and rapid development of the national economy, there are more and more requirements for the service performance of infrastructure, and at the same time, the investment in infrastructure is getting stronger and stronger. 16,229 road tunnels have been built, the number and length of which are unmatched by other countries. At the same time, serious diseases also appeared in the tunnel operation, mainly manifested as water leakage, freeze-thaw, lining damage, etc., which not only shortened the maintenance cycle and service life of the tunnel, but also affected traffic safety. Major traffic accidents in tunnels are mostly caused by the accumulation of tunnel diseases. Therefore, for the road tunnel disease has become one of the main factors threatening traffic safety, it needs to be sol...

AI Technical Summary

Problems solved by technology

[0004] Because a detection often needs to detect the entire length of the tunnel, the distance is long, the manual operation is too labor-intensive, and due to human factors during the detection, the radar and the detection line will deviate, and the distance cannot be kept constant, making the detection difficult. Large error, the detection result is not accurate enough

Images