钢板表面缺陷在线视觉检测系统研究  

Study on On-Line Surface Defect Detection Vision System for Steel Strip

作　　者：张洪涛[1] 段发阶[1] 丁克勤[2] 叶声华[1] 

机构地区：[1]天津大学精密仪器与光电子工程学院国家重点实验室,天津300072 [2]锅炉压力容器检测研究中心,北京100013

出　　处：《传感技术学报》2007年第8期1899-1902,共4页Chinese Journal of Sensors and Actuators

基　　金：国家科技部科研院所专项基金资助(SY01院所专项-01)"跨世纪优秀人才支持计划"

摘　　要：本文设计了一套智能无损检测系统以实现对钢板表面缺陷的在线检测.检测系统由新型LED光源,明暗域结合成像光学系统、高速高分辨率线阵CCD器件、FPGA嵌入式处理系统和缺陷自动分类子系统等组成.系统对钢板表面的气泡、夹杂、结疤、划伤和压痕等主要缺陷进行无损检测,并基于Bayes决策理论,实现缺陷的自动分类功能.本系统在实验室检测指标为:宽度最大为1 800 mm,运行速度不大于1.5 m/s,振动幅度小于1 mm,横纵向检测分辨率为0.8 mm×0.8 mm,尺寸检测误差不大于1 mm.A suit of intelligent non-contact detection system is designed to inspect surface defects on-line for steel strip. This inspection system consists of a new LED line light source, bright and dark field combined imaging optical system, high speed and high resolution linear CCD sensor, embedded FPGA processing board and auto-classifier subsystem. Main surface defects such as bubble, inclusion, rolling skin, scratch and roll-mark can be detected non-destructively, and these surface defects are classed automatically by Bayes theory. The steel strip is 1 800 mm at the most in width, in-line maximum speed is 1.5 m/s, detection resolution is 0. 8 mm×0. 8 mm and detection error is less than 1 mm in dimension.

关 键 词：在线检测 表面缺陷 线阵CCD 缺陷分类 

分 类 号：TH140.7[一般工业技术—材料科学与工程]