Tunnel deformation monitoring system and method based on machine vision self-adaption

Abstract

The invention provides a tunnel deformation monitoring system and method based on machine vision self-adaption. The system comprises a machine vision camera, an adjustable infrared light supplementing lamp, a passive light reflecting target, power distribution network equipment, an alternating current power supply line, a direct current power supply line, a first communication line and a second communication line. A lens of the machine vision camera faces the tunnel construction excavation direction, and is fixedly installed behind the tunnel section. The system and the method have the following advantages: (1) the pre-capturing function is performed through the machine vision camera, the brightness of the light supplementing lamp and the exposure parameters of the camera are adaptively adjusted, the quality of the image can be adaptively adjusted under different conditions in the tunnel under construction, the imaging quality of the image for displacement identification is ensured, and the identification accuracy of a target positioning algorithm is further ensured; and (2) the passive target is adopted as a carrier for monitoring and transmitting tunnel structure deformation, and power supply wiring or battery power supply of the target does not need to be considered, so that the construction difficulty and cost of tunnel field implementation can be greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of tunnel engineering construction, and in particular relates to a tunnel deformation monitoring system and method based on machine vision self-adaptation. Background technique [0002] The purpose of the monitoring and measurement of the tunnel under construction is to monitor the deformation state of the surrounding rock and the supporting structure during the tunnel construction, so as to understand the development trend of the deformation of the surrounding rock and the supporting structure of the tunnel, and make a judgment on the stability of the surrounding rock , so as to provide a basis for tunnel construction. [0003] At present, the main method of monitoring and measuring tunnels under construction is: manually using a total station to measure multiple sections of targets installed on the inner wall of the tunnel. This method of tunnel monitoring and measurement mainly has the following shortcomi...

AI Technical Summary

Problems solved by technology

However, the traditional monitoring and measurement methods cannot cover the complete change process of the surrounding rock due to the low frequency of measurement and basically relying on manual records. Therefore, how to solve the above deficiencies in manual monitoring and measurement is of great significance

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