Geological radar-based railway tunnel internal disease detection method and device
A technology of geological radar and detection method, which is applied in the field of internal defect detection of railway tunnels based on geological radar, and in the field of internal defect detection devices of railway tunnels based on geological radar image data, can solve the problems of low detection efficiency, accuracy and quality, and achieve relief The effect of manual labor intensity, improved detection quality, and high detection efficiency
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Embodiment 1
[0072] see figure 1 , this embodiment provides a method for detecting internal defects of railway tunnels based on geological radar, which can be applied in tunnels such as high-speed rail tunnels, subway tunnels, and ordinary railway tunnels, and detects the defects of the tunnels. In this embodiment, the detection method is based on geological radar to detect tunnel defects, which can accurately detect inner lining defects and obtain radar images and mileage of the defects, thereby providing data support for tunnel maintenance. When it is found that there is indeed an internal disease in the radar image, the maintenance personnel can accurately determine the location of the disease through the mileage, so as to deal with this part of the tunnel. Wherein, the method for detecting internal defects of a railway tunnel includes the following steps, namely steps (1)-(8).
[0073] (1) Collect the radar image of the lining in the railway tunnel, and obtain the corresponding graysc...
Embodiment 2
[0117] This embodiment provides a method for detecting internal defects of railway tunnels based on geological radar, which adds the following steps on the basis of embodiment 1, namely step (11) and step (12).
[0118] (11) Upload the real-time data of the radar image and the mileage of the diseased area to a cloud platform. The cloud platform can be a tunnel maintenance monitoring platform, on which storage locations for each section of the railway tunnel are set, and the disease information will correspond to each section of the railway tunnel on the cloud platform, thereby generating a big data system for tunnel disease information. The big data system can accumulate tunnel inspection data, which can be checked in time through mobile phones, PCs and other devices when personnel need to check, making railway maintenance more convenient.
[0119] (12) Perform statistics on the disease amount of each section of the railway tunnel to obtain the cumulative amount of disease, an...
Embodiment 3
[0121] This embodiment provides a device for detecting internal defects of railway tunnels based on geological radar image data. The device applies the method for detecting internal defects of railway tunnels based on geological radars in Embodiment 1 or Embodiment 2. Wherein, the internal disease detection device of the railway tunnel includes a tunnel inspection vehicle, a coarse-precision segmentation module, a pre-selection module, a threshold segmentation module, a contrast enhancement module, a high-precision segmentation module, a disease area screening module and an output module.
[0122] The tunnel inspection vehicle includes data acquisition system, data processing system and auxiliary lighting system. The data acquisition system is used to collect radar images of the lining in the railway tunnel, the data processing system is used to obtain the corresponding grayscale profile, and the auxiliary lighting system is used to provide the data acquisition system with illu...
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