基于改进HHO算法的螺纹钢丝头中径测量方法  

Pitch diameter measurement of threaded steel wire head based on improved HHO algorithm

作　　者：肖剑[1] 张凯[1] 高凡 张赞[1] 谷文萍[1] Xiao Jian;Zhang Kai;Gao Fan;Zhang Zan;Gu Wenping(School of Electronics and Control Engineering,Chang'an University,Xi'an 710064,China)

机构地区：[1]长安大学电子与控制工程学院,西安710064

出　　处：《电子测量与仪器学报》2021年第10期48-55,共8页Journal of Electronic Measurement and Instrumentation

基　　金：国家自然科学基金(51978074);西安市科技计划项目(2019218514GXRC021CG022-GXYD21.1)资助。

摘　　要：针对现阶段基于图像处理进行螺纹中径测量时算法收敛速度慢、精度低的问题,提出一种基于改进哈里斯鹰优化算法的螺纹钢丝头中径测量方法。首先,采用三次样条插值法进行亚像素级的边缘检测,精确提取出螺纹波峰波谷等参数后再构建出中径适应度函数,最后,将螺旋式更新机制和非线性能量递减策略引入哈里斯鹰优化算法(HHO)来求解中径适应度函数。实验结果表明,改进的哈里斯鹰优化算法稳定性更好、精度更高,其中径测量的标准差比传统HHO算法降低了59.33%,中径测量结果的绝对均值误差比三针测量法降低了5.08%,比HHO算法降低37.78%。In order to solve the problems of slow convergence and low accuracy of the algorithm for thread pitch diameter measurement based on image processing at this stage,we proposed a thread steel wire head pitch diameter measurement method based on improved Harris hawk optimization algorithm.Firstly,the cubic spline interpolation method is used for sub-pixel edge detection,and the parameters such as the peak and valley of the thread are extracted accurately,then the pitch diameter fitness function is constructed.Finally,the spiral updating mechanism and nonlinear energy decreasing strategy are introduced into Harris hawk optimization algorithm(HHO)to solve the pitch diameter fitness function.The experimental results show that the improved Harris hawk optimization algorithm has better stability and higher accuracy,in which the standard deviation of diameter measurement is 59.33%lower than the traditional HHO algorithm,the absolute mean error of pitch diameter measurement is 5.08%lower than the three needle measurement method,and 37.78% lower than the HHO algorithm.

关 键 词：哈里斯鹰优化算法 中径测量 螺旋式更新机制 非线性能量递减策略 

分 类 号：TG85[金属学及工艺—公差测量技术] TN98[电子电信—信息与通信工程]