摘要
为保障车辆运行安全,需定期测量车轮踏面外形尺寸。目前车轮踏面尺寸主流检测方法为车轮侧面基准定位法,但蛇行运动基准倾斜、异物和光干扰等现场因素会导致其定位误差。对此,文章提出一种车轮踏面动态检测基准定位方法,其通过结构光标定位和中心线提取等算法提取点云数据后,结合踏面特征来分割内侧面基准特征点,再采用迭代重加权最小二乘直线拟合(iterative reweighted least-squares line fitting,IRLSLF)方法来实现内侧面基准的鲁棒定位。人机比实验结果显示,在动态倾斜工况下,以IRLS-LF定位结果为基准的轮缘高度和厚度的对比偏差范围分别为±0.1 mm和±0.2 mm,而以LSLF和固定参数法定位结果为基准的测量误差范围宽度均在0.8 mm左右,表明该方法可有效解决因现场因素导致的基准定位偏差问题,进而保障车轮踏面动态检测的测量精度与鲁棒性。
Periodic detection of wheel tread is necessary for train operation safety. Reference positioning of inner side benchmark is a traditional method for tread detection but there are problems of positioning error caused by field factors in wheel tread dynamic detection such as reference tilt by hunting, foreign matter and light interference. A reference positioning method for wheel tread dynamic detection is proposed in this paper. After extracting the point cloud data through structured light calibration, center-line extraction and other algorithms, reference feature points of the inner side are segmented combined with tread features, and an iterative re-weighted least squares line fitting(IRLS-LF) method is used to realize robust positioning of the inner side benchmark. Under the dynamic tilt condition,the experimental man-machine comparison deviations of flange height and thickness based on IRLS-LF positioning results are ±0.1 mm and ±0.2 mm respectively, and the both deviation range widths based on LSLF positioning results and fixed-parameter algorithm positioning results are about 0.8 mm. Experimental results show that this method can effectively solve the datum positioning deviation caused by field factors, and effectively ensure the measurement accuracy and robustness of wheel tread dynamic detection.
作者
李淼成
王俊平
沈云波
尤勇
戴伯望
兰强强
LI Miaocheng;WANG Junping;SHEN Yunbo;YOU Yong;DAI Bowang;LAN Qiangqiang(Zhuzhou CRRC Times Electric Co.,Ltd.,Zhuzhou,Hunan 412001,China)
出处
《控制与信息技术》
2022年第1期89-96,共8页
CONTROL AND INFORMATION TECHNOLOGY
