{"title":"Laser Weld Seam Tracking Sensing Technology Based on Swing Mirror","authors":"Tian Changyong, Song Xuhao, Yin Tie, Zhang Yi","doi":"10.1109/OGC55558.2022.10050920","DOIUrl":null,"url":null,"abstract":"Based on the principle of laser triangulation measurement, a laser welding seam tracking sensor is developed to track U-shaped, V-shaped and flat bottom grooves of pipeline welds in real time. Aiming at the problems of reflection of pipeline welding groove and strong welding arc, which affect the accuracy of U-shaped groove feature recognition, a laser welding seam tracking sensing technology based on swing mirror is developed. The image sensor collects the weld features of the spot-shaped spot area in a cycle, and connects to form a cross-sectional weld feature, which can effectively improve the signal-to-noise ratio of the weld feature identification signal. the actual machine test of pipeline weld tracking is carried out. In the identification test of U-shaped, V-shaped, flat bottom groove, extremely deep and wide weld (40mm depth&30mm width) and extremely deep and narrow weld (40mm depth&12mm width), the sensor has good recognition accuracy and stability.","PeriodicalId":177155,"journal":{"name":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 7th Optoelectronics Global Conference (OGC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OGC55558.2022.10050920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Based on the principle of laser triangulation measurement, a laser welding seam tracking sensor is developed to track U-shaped, V-shaped and flat bottom grooves of pipeline welds in real time. Aiming at the problems of reflection of pipeline welding groove and strong welding arc, which affect the accuracy of U-shaped groove feature recognition, a laser welding seam tracking sensing technology based on swing mirror is developed. The image sensor collects the weld features of the spot-shaped spot area in a cycle, and connects to form a cross-sectional weld feature, which can effectively improve the signal-to-noise ratio of the weld feature identification signal. the actual machine test of pipeline weld tracking is carried out. In the identification test of U-shaped, V-shaped, flat bottom groove, extremely deep and wide weld (40mm depth&30mm width) and extremely deep and narrow weld (40mm depth&12mm width), the sensor has good recognition accuracy and stability.