System and method for quickly inspecting tunnel defect based on machine vision

Abstract

The invention discloses a system and method for quickly inspecting a tunnel defect based on machine vision. The system is arranged on an investigation bearing vehicle. The system comprises a machine vision sub-system used for acquiring the to-be-investigated object image data by a CCD (Charge Coupled Device) camera, a laser ranging sub-system used for measuring an imaging distance of an image acquired by the machine vision sub-system by a laser ranging method, a photoelectric speed measuring sub-system used for providing a corresponding coordinate of the acquired image in a tunnel, a control sub-system used for controlling the laser ranging sub-system and the photoelectric speed measuring sub-system, transmitting the data acquired by the laser ranging sub-system and the photoelectric speed measuring sub-system to a data processing sub-system and triggering the machine vision sub-system to acquire an image and transmit the image to the data processing sub-system, a data processing sub-system used for processing the image acquired by the machine vision sub-system according to the data from the control sub-system, and a power supply sub-system used for providing voltage for other sub-systems. According to the invention, the general tunnel defect can be regularly and quickly inspected and the inspecting process is safe, quick, full-automatic and real-time without influencing normal work of the tunnel.

Description

technical field [0001] The invention relates to tunnel disease investigation technology, in particular to a machine vision-based rapid tunnel disease investigation system, which is applied to tunnel disease detection. Background technique [0002] In recent years, various highways, railways, underwater and subway tunnels that have been built in my country have appeared to varying degrees of lining cracks, deformation and water leakage and other diseases. The existence of diseases will affect the traffic quality, threaten the safety of driving in the tunnel, and cause safety accidents. There is an urgent need for scientific and effective analysis and research methods to analyze and evaluate the impact of diseases on the safety and performance of lining structures. provide a basis for countermeasures. The premise of tunnel disease prevention and control is to carry out detailed and comprehensive investigation on the types, distribution and degree of tunnel diseases. The syste...

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Problems solved by technology

[0005] The disadvantage of this method is that the detection result depends on the imaging quality of the image and the reliability of the recognition algorithm. The imaging of the camera requires high-brightness lighting conditions, and the imaging is easily affected by the vibration and speed of the detection vehicle. Therefore, it is impossible to realize the automatic real-time processing of cracks

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