基于点激光的横拉闸门门头运动轨迹检测方法与分析

doi:10.3969/j.issn.1671-7775.2022.04.010

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摘要为分析横拉闸门底台车运行磨损导致闸门门头运动轨迹的变化状况，提出一种基于点激光的横拉闸门门头运动轨迹检测方法.对预处理后的图像采用阈值分割与孔洞填充法分割得到图像中激光光斑区域，利用Canny边缘检测和基于Zernike矩亚像素边缘提取算法计算光斑区域的亚像素级边缘，通过光斑质心计算得到光斑中心坐标.采用线性回归分析法分析门头的运动轨迹变化趋势.结果表明，所提出方法可以如实获取并记录横拉闸门门头运动轨迹坐标数据，计算得到门头运动轨迹线性回归模型，分析得到横拉闸门底台车关键部件的磨损情况与磨损规律.

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	王化明
	周凯强
	强斌
	马东明
	张恒鸿

关键词 ：横拉闸门, 轨迹检测, 图像处理, 亚像素边缘检测, 线性回归分析

Abstract：To analyze the trajectory change of the gate head caused by the running wear of trolley at the bottom of horizontal pulled gate, a method for detecting the trajectory of gate head of the horizontal pulled gate was proposed based on the point laser. The laser spot area in the preprocessed image was segmented by threshold segmentation and hole filling method. The Canny edge detection and sub-pixel edge extraction algorithm based on Zernike moment were used to calculate the sub-pixel edge of spot area, and the spot center coordinate was obtained by calculating the spot centroid. The mean value of the data in the same time interval was calculated, and the trend of the trajectory was analyzed by linear regression analysis. The results show that the proposed method can truthfully obtain and record the track coordinate data of the horizontal pulled gate head, and the linear regression model of the gate head trajectory can be calculated to analyze the wear condition and wear law of the key components of the bottom trolley for the horizontal pulled gate.

Key words： horizontal pulled gate trajectory detection image processing subpixel edge detection linear regression analysis

基金资助:江苏省交通运输科技项目(2017Y10)

作者简介: 王化明(1973—),男,江苏扬州人,教授(hmwang@nuaa.edu.cn),主要从事柔性机器人研究. 周凯强(1993—),男,辽宁丹东人,硕士(neuzkq@163.com),主要从事图像处理技术研究.

引用本文:

王化明, 周凯强, 强斌, 马东明, 张恒鸿. 基于点激光的横拉闸门门头运动轨迹检测方法与分析[J]. 江苏大学学报（自然科学版）, 2022, 43(4): 439-445. WANG Huaming, ZHOU Kaiqiang, QIANG Bin, MA Dongming, ZHANG Henghong. Detection method and analysis of trajectory of horizontal pulled gate head based on point laser[J]. Journal of Jiangsu University(Natural Science Eidtion) , 2022, 43(4): 439-445.

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http://zzs.ujs.edu.cn/xbzkb/CN/10.3969/j.issn.1671-7775.2022.04.010 或 http://zzs.ujs.edu.cn/xbzkb/CN/Y2022/V43/I4/439

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