基于机器视觉的变焦激光切割路径优化研究  

Research on Optimization of Zoom Laser Cutting Path Based on Machine Vision

作　　者：李文彪 李晓旭[2] Li Wenbiao;Li Xiaoxu(Guangzhou Huashang College,Guangzhou,Guangdong 511399,China;China University of Petroleum,Qingdao,Shandong 266580,China)

机构地区：[1]广州华商学院,广东广州511399 [2]中国石油大学(华东),山东青岛266580

出　　处：《应用激光》2022年第12期76-82,共7页Applied Laser

基　　金：激光与物质相互作用国家重点实验室基金(SKLLIM1250)。

摘　　要：针对目前变焦激光切割路径优化方法存在优化时间长、空程行程大以及优化性能低的问题,对基于机器视觉的变焦激光切割路径优化进行了研究。该方法依据机器视觉原理获取激光切割路径相关参数;通过计算机技术对相关路径进行了遍历处理,根据路径约束条件与目标优化函数,建立路径优化模型。进而基于改进后的蚁群算法完成模型的求解,获取最佳的变焦激光切割路径,实现路径的优化。试验结果表明,运用该方法进行变焦激光切割路径优化时,优化准确率高于95%,优化时间随着试验次数的增加也保持在3.5 s左右。因此,该方法优化时长低、空程行程小以及优化性能高。Aiming at the problems of long optimization time,large empty distance and low optimization performance in the current zoom laser cutting path optimization method,this paper studies the zoom laser cutting path optimization based on machine vision.In this method,the parameters of laser cutting path are obtained according to the principle of machine vision.The relevant paths are traversed through computer technology.According to the path constraints and objective optimization function,the path optimization model is established,and then the model is solved based on the improved ant colony algorithm to obtain the best zoom laser cutting path and realize the path optimization.Experimental results show that when using this method to optimize the zoom laser cutting path,the optimization accuracy is higher than 95%,and the optimization time is kept at about 3.5 s with the increase of test times.Therefore,this method has low optimization time,small idle travel and high optimization performance.

关 键 词：机器视觉 变焦激光 切割路径 优化方法 蚁群算法 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]