Early prediction method for frost damage and crack growth of expressway pavement based on infrared thermal imaging technology

The previous early prediction methods for frost damage and crack growth of expressway pavement have poor prediction results because they only denoise the collected pavement images. Therefore, an early prediction method for frost damage and crack growth of expressway pavement based on infrared thermal imaging technology was designed. The image acquisition device is used to collect the highway pavement image, and gray conversion and noise reduction processing are carried out on the collected pavement image to improve the image quality. Under the effect of infrared thermal imaging technology, the length and width characteristics of pavement frost damage and crack growth are extracted, and the early prediction of pavement frost damage and crack growth is realized by predicting and screening the growth path. Through the above design, the design of early prediction method for frost damage and crack growth of expressway pavement is completed. In the experimental test, compared with the previous early prediction methods for frost damage and crack growth of expressway pavement, the prediction error rate of the designed early prediction method for frost damage and crack growth of expressway pavement based on infrared thermal imaging technology is 0.17%, and the prediction effect is better.