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直线轴承视觉检测工艺行为柔性规划分析系统

Process behavior flexible planning and analysis system of vision detection for linear bearings
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摘要 为满足直线轴承特征检测的多样化、智能化需求,设计了面向直线轴承零件族的视觉检测工艺行为柔性规划分析系统。通过对直线轴承零件族特征属性与视觉检测工艺行为进行分解,建立“特征-工艺行为”柔性规划分析机制,并设计关联响应误差补偿知识表达模型及多元行为规划分析路线。以圆法兰直线轴承为研究对象,进行多方案检测工艺行为规划分析实验。结果表明,通过行为规划分析与评估,获取行为特征与工艺行为关联影响规律,可指导检测行为优选、测量偏移补偿和行为波动补偿决策,有利于提高视觉检测的智能化水平。 In order to satisfy the diversified and intelligent requirements of feature detection for linear bearings,a flexible planning and analysis system of process behavior was designed for the vision detection of linear bearings parts family.After decomposing the features of linear bearing parts family and the process behaviors of vision detection,a flexible planning and analysis mechanism with feature-behavior association was established.Meanwhile,the correlation response error compensation knowledge expression model and the multiple behavior planning routes were designed.Finally,taking the circular flange linear bearing as the object,some experiments were carried out by this system.The results show that the correlation influence among different features and process behaviors can be acquired by evaluating the effect of behaviors,which guiding the behavior optimal,measure offset compensation and behavior fluctuation compensation decisions,so as to promote the improvement of the intelligent level for vision detection.
作者 花海燕 杨拴强 林华 陈霞 HUA Haiyan;YANG Shuanqiang;LIN Hua;CHEN Xia(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;Institute of Industrial Technology,FuJian Jiangxia University,Fuzhou 350108,China;Mechanical and Electrical Engineering Practice Center,Fuzhou University,Fuzhou 350108,China)
出处 《现代制造工程》 CSCD 北大核心 2021年第2期110-118,共9页 Modern Manufacturing Engineering
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)。
关键词 智能检测 柔性规划 工艺行为 特征-行为关联 误差补偿 intelligent detection flexible planning process behavior feature-behavior association error compensation
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