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Bridge steel structure defect nondestructive testing system based on infrared thermal imaging

The invention relates to the field of physical testing technologies and systems, and discloses a bridge steel structure defect nondestructive testing system based on infrared thermal imaging, which comprises an unmanned aerial vehicle integrated with an infrared thermal imaging detection device and a ground computing station. The unmanned aerial vehicle flies along a planned path, transient thermal excitation is applied through a thermal excitation device, and dynamic thermal response data of the surface of a pre-coated infrared coating is collected by synchronously utilizing an infrared thermal imager. And the ground computing station performs space-time fusion preprocessing on the returned data to obtain a standardized panoramic temperature field image, and inputs the standardized panoramic temperature field image into a convolutional neural network model which fuses physical mechanism constraints and has an online self-optimization function for intelligent analysis. According to the method, signals are enhanced through the coating, efficient inspection is achieved through the unmanned aerial vehicle, the recognition precision and generalization ability are guaranteed through the physical information fusion model, continuous evolution is achieved in combination with online self-optimization, and a high-sensitivity, full-automatic and quantitative bridge steel structure defect intelligent detection solution is formed.
Owner:GUANGZHOU INST OF RAILWAY TECH