Defect detection of CNG cylinders based on ultrasonic pulse echo method and improved HRNet

Ultrasonic testing is a commonly used non-destructive testing technology that utilizes the propagation characteristics of high-frequency sound waves in materials to detect and evaluate their internal structure, defects, and integrity. Due to its high sensitivity and non-destructive nature, ultrasonic testing is suitable for detecting defects in cylinders. This paper designs a defect detection method for CNG cylinders based on the ultrasonic pulse echo method and HRNet. First, a comprehensive scan of the CNG cylinder is conducted using the ultrasonic pulse echo method. After obtaining the scan results, the Kalman filtering method is used to remove noise interference, resulting in a more accurate waveform. An improved HRNet is then utilized for defect target detection. The main improvement of HRNet lies in using global and local feature fusion to achieve higher precision defect identification and introducing the ASPP module to enhance the network's feature extraction and anti-interference capabilities. In experiments, the method can effectively identify groove-type defects and corrosion defects in CNG cylinders.