Ultrasonic infrared thermal imaging detection of weld surface defects of steel structure in pump tower area

The ultrasonic infrared thermal imaging device is used to collect the weld image, and the weld image is preprocessed by grayscale, denoising and enhancement. Then the convolution neural network is used to extract the feature vector of the image, and the decision tree multi classifier model is used to classify the defects. The test results show that the detection technology can complete the nondestructive detection of the weld surface defects of the steel structure in the pump tower area, and the detection accuracy is high, which provides the condition for repairing the weld defects of the steel structure in the pump tower area in time.