基于能量中心的电力机车接触导线几何参数视觉检测方法

Visual inspection method on geometric parameters of electric locomotive contact wire based on energy center

传统的电力机车接触导线几何参数检测方法存在若干不足。根据检测要求和磨损后接触线的图像特征,提出了基于双目视觉技术的在线、非接触、多参数综合测量方法。对基于LOG算子的线条边缘图像处理方法的误差进行了深入的理论分析,在此基础上提出了采用图像能量中心算法的边缘定位新方法,并进行了数值模拟。仿真结果表明:能量中心算法的抗干扰和抗模糊能力更强,定位精度更高。以不同高度、拉出值和磨损宽度的圆钢为检测对象进行了验证实验,并与激光测距仪和数显式游标卡尺检测的结果进行了比对。实验表明,能量中心算法的边缘检测精度优于LOG算法,同时,提出的测量方法示值误差小、重复性较好,能够满足接触线在线、非接触综合检测的需要。

There are certain deficiencies in detection methods on the traditional electric locomotive contact wire geometry parameters.Based on the testing requirements and image characteristics of the worn wire,the integrated measurement method of online,non-contact,multi-parameter was proposed based on binocular vision technology.In-depth theoretical analysis had been conducted on image edge detection based on LOG algorithms,on which new methods of edge location by means of energy center algorithm were proposed,and numerical simulations were conducted.Simulation results show that the algorithm of energy centers has got stronger anti-jamming and anti-blur capabilities,with higher positioning accuracy.Verification experiments are carried out by using round steel with different heights,stagger values and wear widths as the detection object,and it is compared with the results tested by the laser rangefinders and digital display vernier calipers.Experimental results show that the edge detection by means of energy center algorithm is more accurater than LOG algorithms.Simultaneously,the measurement method proposed in this paper has smaller indication errors,better reproducibility,and it can meet the integrated needs of online,non-contact testing on the contact line.