Vision-Based positioned technology to assisting Supersonic probe for the ERW detection of steel pipe

• Main Authors: Deng-Jie Lin, 林登傑
• Other Authors: Yi-Hong Lin
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/12665508167093857158

碩士 === 國立屏東科技大學 === 機械工程系所 === 101 === The purpose of this study is to apply machine vision, mechanism design and image processing technique to ultrasonic steel pipe inspection system. The system includes image processing, mechanism design and ultrasound signal acquisition. Mechanism design utilizes the self-adaptive function provided by 3D graphics software, which shortens the amount of time required for machine table design and modification, and effectively completes the mechanism design of the measurement machine table. The image data and ultrasonic signals captured by the charge-coupled device and ultrasonic probe are processed by image computing, correlation coefficient identification, ultrasonic signal identification, etc., using the self-written human machine interface. Then, the processed image data and signals are sent to PC for positioning and pipe testing using the ultrasound signal acquisition card and USB interface. 　　Currently, this device can detect welding defects after steel pipes are processed, Utilizing image tracking technology, combined with optical imaging technique and self-developed light source modules, a low cost, high stability and high speed ultrasonic steel pipe defect detection system is finally realized,And the visual aids in the ultrasound probe detector detected the data are reproducible, but also with fixed ultrasonic detector market data obtained do more than right, the data obtained are reasonable testing norms the results show And effectiveenhance measurement accuracy, shorten measurement time and reduce manpower,Effective resource helpful。