Tunnel structure leaked water precise identifying device and method based on infrared thermal imaging

Abstract

The invention discloses a tunnel structure leaked water precise identifying device and method based on infrared thermal imaging, and mainly solves the problem of imprecise area calculation caused by inaccurate leaked water profile detected by traditional single visible light images in traditional tunnel structure leaked water detection. A data acquiring device comprises an infrared thermal imager,an industrial camera, a light feeding device, a synchronous control card, a laser distance measurer, a distance measuring wheel device, an industrial personal computer and a power supply system. Thetunnel structure leaked water identifying method uses the infrared thermal imager and the industrial camera for respectively acquiring infrared thermal images and visible light images of tunnel structures, firstly extracts out leaked water center areas according to the principle of lower temperatures of leaked water areas in the infrared thermal images, widens the range to extract the leaked waterareas from the same areas of the visible light areas, uses temperature information in the infrared thermal images for correcting the area profiles extracted from the visible light images, and finallycalculates the areas to solve the problem of inaccurate identification of leaked water areas in the prior art.

Description

technical field [0001] The invention relates to a device and method for accurately identifying leaking water in a tunnel structure, in particular to an infrared thermal imaging device and method for accurately identifying leaking water in a tunnel structure, which is applied in the field of tunnel engineering. Background technique [0002] Leakage water is one of the most common tunnel structural diseases. If it is not treated in time, it will lead to other diseases such as steel bar corrosion, segment cracking and concrete spalling inside the tunnel, which will affect the structural strength of the tunnel and threaten the safety of tunnel operation. Therefore, it needs to be highly valued. detection of such diseases. [0003] For the detection of water leakage in tunnel structures, manual detection is currently the main method, which has low operating efficiency, high work intensity, large human factors affecting the detection quality, high cost, and easily interferes with ...

AI Technical Summary

Problems solved by technology

But there is no mileage positioning device, it is difficult to find the actual location of the disease

[0004] In terms of automatic identification of seepage water, patent CN201810066937.7 discloses a method for automatic identification of water seepage damage in tunnel structures. According to the characteristics of low gray value of seepage water on the tunnel image, combined with edge detection algorithm, the detection method can be realized. Automatic identification of leaking water in tunnel structures, but it only uses the grayscale information of the image, which is easily affected by surrounding noise points and cannot be accurately identified

Patent CN201810373105.X discloses a tunnel water leakage disease detection robot based on the principle of infrared thermal imaging, which uses an infrared thermal imager to scan the tunnel environment to obtain point cloud data, and displays the disease through infrared thermal images according to the temperature change of the leakage water disease Existence and development changes, but it does not analyze the area of ​​the disease area, and cannot know the actual scope of the disease. At the same time, a single infrared thermal image is used for identification, which is easy to narrow the scope of the disease, resulting in inaccurate identification

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