Identification Method of Tunnel Water Leakage Based on Panoramic Image

Aiming at false and missing identification caused by complex water leakage form in tunnel lining structure, strong illumination and background interference and unbalanced samples, a fast detection method of water leakage based on panoramic image was proposed to improve the accuracy and efficiency of automatic recognition of leakage water. First of all, based on the apparent panoramic images of the tunnel structure collected by the independently-developed tunnel inspection vehicle, an exclusive sample database was constructed for water leakage detection and segmentation. Then, for non-rigid targets with complex shapes such as water leakage, the DeepLab V3+ segmentation network was improved, to introduce deformable convolution to improve the adaptive ability of the receptive field scale change, and the pixel-by-pixel cross-entropy loss function and the Focal Loss loss function were combined. Finally, a direction region search algorithm was proposed to solve the problem of segmentation fracture caused by window sliding prediction. The results show that, compared with UNet and DeepLab V3 +, the segmentation accuracy of the proposed improved algorithm is 91.02% on MIoU, an increase of 3. 3% . At the same time, the average recognition time of each 2 560×2 048 pixel picture is 0. 30s, down 23% . The method, integrated into Tongji Shuguang automatic identification software, and used in tunnel detection engineering, achieved good application results. © 2023 Science Press. All rights reserved.