Tunnel routing inspection method

Abstract

The invention discloses a tunnel routing inspection method. The method includes the following steps that S1, a flaw detection movement platform enters a tunnel area, the center of a circular ring where a plurality of CCD cameras on the flaw detection movement platform are located is adjusted to be the circle center position of a tunnel, thus the distances between the plurality of CCD cameras and atunnel lining surface are consistent, and then tunnel routing inspection is started; S2, according to the displacement amount of the flaw detection movement platform, synchronous pulse periodic signals are sent at intervals of fixed distance so as to trigger the plurality of CCD cameras and a plurality of auxiliary light sources to work synchronously, and tunnel lining images are shot; S3, the tunnel lining images are collected in real time and are numbered in combination with the synchronous pulse periodic signals; and S4, the numbered tunnel lining images are subjected to image recognitionand trouble spot marking, and meanwhile the tunnel lining images which are already subjected to trouble spot marking are spliced and displayed in real time. The tunnel routing inspection method has the technical characteristics that the detection speed is high, the timeliness is high, the recognition accuracy is high, routing inspection positioning is accurate, and the shot images are clear.

Description

technical field [0001] The invention belongs to the technical field of tunnel inspection, and in particular relates to a tunnel inspection method. Background technique [0002] With the rapid development of urban rail transit in recent years, more and more attention has been paid to the safety of subway tunnels; tunnel problems such as cracking, leakage, and cable leakage in the tunnel will seriously affect the safety of rail transit, so tunnel inspection work is appears to be particularly important. [0003] At present, domestic tunnel inspection work mainly relies on manual work, which leads to low overall efficiency, low accuracy, easy missed inspections, and long time-consuming tunnel inspection operations. At present, the automatic intelligent inspection devices are mostly used in large-scale inspection vehicles with complex structures and high costs. In particular, the existing inspection inspection vehicles are not time-sensitive, and tunnel image collection is requi...

AI Technical Summary

Problems solved by technology

[0003] At present, domestic tunnel inspection work mainly relies on manual work, which leads to low overall efficiency, low accuracy, easy missed inspections, and long time-consuming tunnel inspection operations.

At present, the automatic intelligent inspection devices are mostly used in large-scale inspection vehicles with complex structures and high costs. In particular, the existing inspection inspection vehicles are not time-sensitive, and tunnel image collection is required first. Due to the difficulty of image processing and the speed It is slow. After collecting all the images of the tunnel, the tunnel image processing and disease point detection will be performed on the background platform. After the disease is found, it will be notified to the maintenance and other departments to deal with it. This will lead to a very long cycle of tunnel inspection and post-processing.

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