Intelligent Edge Computing Detection Vehicle and Detection Method Based on Tunnel Lining Concrete

In recent years, with the rapid development of tunnel construction in China, length tunnels has continued to increase, and consequent disease detection attracted more attention from maintenance departments. Among many diseases, lining cracks are most common, which directly reflect stress lining, is very important for study diseases. view current status requirements, this article carried out research work on a vehicle-mounted crack system based image processing. Due grayscale difference between surface background, these differences lead significant edge features relatively stable detection. Therefore, designs an intelligent algorithm detect edges image, extract cracks, remove useless interference information background. The experiment proves that paired sample t-test can find after over, P value different operators global threshold segmentation less than 0.05, difference. Canny, Deriche, Lanser filters strong, extracted noise small. Finally, parameter values calculated, calculated parameters provide scientific reliable basis safety evaluation.