摘要
针对现有承轨台检测方法中存在的问题,提出一种基于改进的双目线结构光传感器的承轨台测量方法。测量时双目传感器中两个相机与承轨台之间的相对位置保持不变,通过传感器内置的驱动装置控制线激光器移动完成承轨台的扫描,获得点云数据,这提高了承轨台预埋套管位置的数据采集效果和测量精度。在承轨台点云数据处理方面,提出了基于Spearman秩相关系数的点云数据分割提取方法,根据参数定义,实现承轨台5项关键几何参数的自动非接触测量。实验结果表明,所提测量方法精度可达0.3 mm,满足轨道板检测的要求。
This study proposes an improved rail bearing platform measurement method based on a binocular line-structured light sensor to alleviate the problems pertaining to the existing rail bearing platform detection methods.During the measurement,the relative position of the two cameras in the binocular sensor and rail bearing platform remains unchanged.Scanning of the rail bearing platform is performed by controlling the line laser movement using the driving device built in the sensor to obtain the point cloud data,which improves the data acquisition effect and measurement accuracy of the embedded sleeve position of the rail bearing platform.Concerning point cloud data processing,a method for point cloud data segmentation and extraction based on the Spearman rank correlation coefficient is proposed.Automatic,noncontact measurement of five key geometric parameters of rail bearing platform is conducted.The experimental results show that the accuracy of the proposed measurement method is up to 0.3 mm,which can fulfill the requirements of track plate detection.
作者
王雪嵩
邵双运
苏晓东
刘绍毅
罗珏婷
Xuesong Wang;Shuangyun Shao;Xiaodong Su;Shaoyi Liu;Jueting Luo(School of Science,Beijing Jiaotong university,Beijing 100044,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2020年第21期155-163,共9页
Laser & Optoelectronics Progress
基金
国家重点研发计划(2017YFC0805400)。
