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作 者:何凌云[1] 杨航飞 聂军山 龚彩军[1] HE Lingyun;YANG Hangfei;NIE Junshan;GONG Caijun(Automation Institute,Beijing Shougang Automation Information Technology Co.,Ltd.,Beijing 100041,China)
机构地区:[1]北京首钢自动化信息技术有限公司自动化研究所,北京100041
出 处:《冶金自动化》2024年第5期61-66,92,共7页Metallurgical Industry Automation
摘 要:热轧粗轧区域的镰刀弯缺陷影响带钢的板形质量及轧制稳定性,镰刀弯的在线检测及控制技术的研究一直是行业关注的热点课题。本研究开发基于图像识别的镰刀弯在线检测及控制技术,通过在机架前后安装高清晰摄像头获取带钢图像,利用图像处理技术对带钢轮廓形状进行测量和识别,并结合轧制过程中的实测数据、设备数据、模型设定数据等构建调弯模型,实现镰刀弯在线自动前馈控制功能。该技术已在国内某热轧产线投入在线应用,镰刀弯方向调节趋势正确率达到95%以上,能够有效降低生产成本和劳动强度,提升产线的自动化水平,具有很高的应用价值和发展前景。The camber defect in the hot rolling rough rolling area affects the shape quality and rolling stability of the strip steel.The research on online detection and control technology of camber has always been a hot topic of industry.This study develops an online detection and control technology for camber based on image recognition.By installing high-definition cameras in front and behind the stand to obtain strip steel images,image processing technology is used to measure and recognize the contour shape of the strip steel.Combined with actual measurement data,equipment data,model setting data,etc.during the rolling process,a camber adjustment model is constructed,online automatic feedforward control function for camber is implemented.This technology has been put into online application on a hot rolling production line in China,with an accuracy rate of over 95%for adjusting the camber direction.It can effectively reduce production costs and labor intensity,improve the automation level of the production line,and has high application value and development prospects.
关 键 词:热轧 图像识别 镰刀弯 前馈控制 曲率半径 智能化
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术] TG335.11[自动化与计算机技术—计算机科学与技术]
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