摘要
在实现轧钢厂棒材生产自动计数的基础上,提出用视觉图像信号作为反馈信息,实时跟踪棒材位置,实现自动分钢控制的方案.用实际视觉系统和对象仿真相结合,采用粗糙集数据挖掘技术进行离线学习,提取控制策略,驱动分钢装置实现分钢自动化操作.
Proposed an on-line steel bar splitting system based on machine vision online counting system. In this paper, the visual feedback control and decision methods are introduced. Bars movement simulation, steel bars tracing algorithms are presented. A rule mining algorithm based on Rough sets is applied to extract control rules of steel bar splitting.
出处
《小型微型计算机系统》
CSCD
北大核心
2005年第11期2000-2004,共5页
Journal of Chinese Computer Systems
基金
国家"八六三"CIMS示范工程项目(863-511-9702-412)资助
关键词
机器视觉
视觉反馈
分钢
粗糙集
规则提取
machine vision
visual feedback
steel bar splitting
rough sets
rule extraction
