In 2001, Titman et al. used infrared thermal imaging nondestructive testing to detect internal defects of concrete components and carried out corresponding experimental research under different testing conditions. The research team gave the most suitable measurement time, conditions and angles for infrared detection methods under various testing conditions, and gave guiding suggestions for the shortcomings of this method. In 2003, Maierhofer et al. used infrared thermal imaging detection technology and ground penetrating radar to detect surface damage in concrete structures. The researchers compared the two methods, and the analysis results showed that under certain circumstances, infrared thermal nondestructive detection technology is better than ground penetrating radar. In 2005, Gao Xiang used infrared thermal imaging technology to identify the debonding of concrete pavement. After comparing and analyzing the numerical simulation results with the test results, the maximum thickness that can be detected by infrared rays was obtained, and the relationship between the debonding morphology and the external surface temperature field was preliminarily explored. In 2013, Zhang Yongjian et al. studied the identification of road defects using infrared thermal imaging technology, conducted infrared thermal imaging analysis on whether there was debonding at the bottom of the road slab of concrete materials, and used the drilling method to verify it. It can be found from the infrared thermal image that when there are defects on the bottom of the board, an uneven temperature field will be generated on the infrared thermal image. In 2021, Duan Hanyi et al. used infrared thermal imaging to detect the coating quality and found that the thicker the coating, the easier it is to detect defects, and the thicker the substrate, the more difficult it is to detect defects. In 2023 , Pan Xiaohua used infrared thermal imaging to detect thermal furnace defects and found that the difference in thermal defect contrast during the application of this method was small, the detection results were highly accurate, and it was more feasible than traditional methods.