法兰直线轴承视觉测量递阶式规划与行为分析  

Hierarchical planning and behavior analysis of visual measurement for the flanged linear bearing

作　　者：李纪强 孔令华 花海燕[1,2] LI Jiqiang;KONG Linghua;HUA Haiyan(School of Mechanical & Automotive Engineering, Fujian University of Technology, Fuzhou 350118, China;Digital Fujian Industrial Manufacturing IOT Lab, Fujian University of Technology, Fuzhou 350118, China)

机构地区：[1]福建工程学院机械与汽车工程学院,福建福州350118 [2]福建工程学院数字福建工业制造物联网实验室,福建福州350118

出　　处：《福建工程学院学报》2021年第1期19-26,共8页Journal of Fujian University of Technology

基　　金：国家自然科学基金项目(51905100);福建省自然科学基金项目(2019J05111);福建工程学院科研启动基金项目(GY-Z14075)。

摘　　要：针对法兰直线轴承尺寸系列化与视觉测量过程行为多样化之间的复杂关联影响问题,提出由特征包容方案规划、基本动作规划和工位变换路线规划三阶段组成的递阶式测量行为规划策略,并设计了视觉测量规划与行为评估流程。以某型号方法兰直线轴承为对象,以评估不同测量行为、图像质量及图像处理算法之间的关联影响为任务,进行测量实验研究。实验结果表明,通过对测量行为进行递阶式规划与行为分析,便于获取测量行为变化造成测量结果波动的定量信息,得以反馈行为影响,从而引导行为优化,可促进视觉测量系统前、后处理功能的增强。In view of the complex relationship between the size series of flanged linear bearings and the diversified behaviors of the visual measurement process,a three-stage planning strategy of measurement behaviors was proposed,which contains feature containment planning,basic action planning and station change route planning.On this basis,process integrating the visual measurement planning and behavior evaluation was designed.After that,a type of linear bearing with square flange was taken as the experiment object to carry out the analysis tasks by evaluating the association among different measurement behaviors,image quality and image processing algorithms.Results show that the hierarchical planning and behavior analysis for the measurement process is convenient for obtaining the quantitative information of the fluctuations caused by the measurement behavior changes,so as to give feedback of the influence of the measurement behaviors and guide the behaviors’optimization.Accordingly,it can enhance the pre-processing and post-processing functions of the visual measurement system and contribute to the development of intelligent visual measurement.

关 键 词：视觉测量 零件族 多因素 递阶式规划 行为影响 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]