摘要
为解决低成本高效化生产汽车板等高端产品过程中铸坯判定系统存在的自动化智能化程度低、铸坯生产异常信息传递匹配不准确、判定效率不高等问题,首钢京唐炼钢厂对原先的过程控制自动化系统升级改造,结合汽车板生产过程中积累的冶金缺陷与生产过程影响因素对应规则知识库,归纳整理123项异常事项,开发了智能化铸坯质量判定系统,通过全线跟踪过程质量参数及异常事件并自动匹配到定尺铸坯上,与设计的工艺卡及制造标准对比,自动判定出铸坯质量结果及对应异常板坯处置指示。结果表明,该系统可自动快速判定铸坯质量,实现过程异常实时监控以及产品质量信息可追溯。
In order to insolve the low automation and intelligenc, inaccurate slab abnormal information matching and delivering, inefficient judging of the slab quality evaluation system during the low cost and efficient production of high-level automotive steel product, SGJT steelmaking plant upgraded the old automatic process control and information system. Based on the metallurgic knowledge rule database of relationship between the automotive steel defect and process parameters, intelligent quality evaluation system with 123 abnormal events and parameters was developed. This system can evaluate slab quality and give the disposal instructions of the abnormal slab automatically by tracking of abnormal slab information on line. The results show that slab quality evaluation system has the functions of atuomatic rapid judging of the slab quality, on-line monitoring process abnormality and tracing the product quality informations.
作者
李向奎
刘延强
刘鸿明
田贵昌
乔焕山
李欣欣
LI Xiang-kui;LIU Yan-qiang;LIU Hong-ming;TIAN Gui-chang;QIAO Huan-shan;LI Xin-xin(Manufacturing Department,Shougang Jingtang United Iron and Steel Co.,Ltd.,Tangshan 063200,Hebei,China)
出处
《连铸》
2022年第6期74-79,共6页
Continuous Casting
关键词
连铸板坯
智能化
质量判定
开发
应用
slab
intelligence
quality evaluation
development
application