Vehicle railway tunnel vault geological radar continuous detection system

Abstract

The present invention relates to a vehicle railway tunnel vault geological radar continuous detection system. The system comprises an engineering vehicle, a workbench, a hydraulic elevating platform, a tunnel section laser detection mechanism, a vault brace rod mechanism and a vault radar antenna detection mechanism. A brace rod main body in the vault brace rod mechanism has two brace rod arms, the two brace rod arms are connected through a brace rod arm regulation pin shaft, and the hydraulic elevating platform and a brace rod driving motor are employed to drive the two brace rod arms to realize two-degree-of-freedom elevating and rotation to allow a radar antenna in the vault radar antenna detection mechanism at the top end of the brace rod main body to be extended into all the gaps between the inner wall of the tunnel vault and a contact net and scan each area of the vault required being detected to allow the detection blank area of the tunnel vault to be reduced to nearly zero. The system performs cooperation motion among mechanisms when detection, the radar antenna can avoid obstacles such as the contact net and the like, the frequent and rapid elevation of the vault brace rod mechanism and the like is reduced, the control is simple, the reliability is high, the continuous detection is realized, and the detection efficiency and the quality are improved.

Description

technical field [0001] The invention relates to a tunnel vault geological radar detection system, in particular to a vehicle-mounted geological radar detection system that can carry out geological radar detection along the depth of a railway tunnel, and can automatically avoid facilities such as elevated catenary in the tunnel to achieve continuity. , high-efficiency and high-quality detection vehicle-mounted railway tunnel vault geological radar continuous detection system. Background technique [0002] With the continuous development of my country's railway traffic and the complex terrain conditions along the railway, the number of railway tunnels is also increasing year by year, and tunnel geological hazards exposed during long-term operation occur from time to time. This requires an efficient equipment that can automatically and comprehensively detect the geological quality of tunnel lining to adapt to the development of railway traffic. [0003] In recent years, more a...

AI Technical Summary

Problems solved by technology

The geological radar non-destructive testing technology overcomes the disadvantages of subjective detection of the geological quality of the tunnel by visual inspection and perforation spot check and point-based detection. However, there are still some problems in the current geological radar non-destructive testing technology that need to be further resolved.

For example, the Chinese Patent No. 201210245314.9 is the "Tunnel Vault Detection Device". This device uses a rope pulley telescopic mechanism to replace the manual handheld geological radar detection, and uses a buffer mechanism to avoid the elevated wire frame when the trolley is moving, ensuring the safety of detection. The stability and stability have been improved to a certain extent; its shortcomings: first, the buffer mechanism used can only play a buffer role, but cannot completely avoid the damage caused by the collision of the ground radar during the vault detection; at the same time, due to the use of elastic The contact buffer mechanism makes the ground radar avoid the elevated wire frame, so there must be a detection white area around the elevated wire frame; the other is that when the device is not working, the detection device is placed horizontally by using the folding mechanism, which is convenient for transportation and reduces the The vertical space for storage when the device is idle, but the horizontal storage space is still large due to the length of the telescopic mechanism itself in the device

[0004] China Patent Network also discloses the "Vehicle Tunnel Lining Radar Detection Device" with the application number 201511023416.6. Problems such as detecting white areas are still not well resolved

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