推拉式酸洗机组堆钢预报警系统的研究  

Research on forecast and alarm system of steel-heaping for push-pull pickling line

作　　者：耿运祥 GENG Yun-xiang(Beijing Research Institute of Automation for Machinery Industry Co.,Ltd.,Beijing 100120,China)

机构地区：[1]北京机械工业自动化研究所有限公司

出　　处：《轧钢》2019年第5期70-73,共4页Steel Rolling

摘　　要：针对推拉式酸洗机组自动穿带过程中因来料厚度、平直度等差异而造成的堆钢问题,研究了一种堆钢预报警系统,其具有自动穿带、带头跟踪和堆钢预报警3项功能。介绍了该预报警系统的逻辑判断模型。为提高预报警准确率,引入BP神经元网络模型对预报警系统进行了优化。该预报警系统投入使用3年,准确率达到97%。For the problem of piece piled during the automatic threading process caused by the difference of thickness and straightness in the push-pull pickling unit,a pre-alarm system was developed,which has three functions of automatic threading,strip head tracking and piece piled pre-alarm.The logical judgment model of the pre-alarm system was introduced.In order to improve the accuracy of pre-alarm,the BP neural network model was applied to optimize the pre-alarm system.The pre-alarm system had been put into use for 3 years with an accuracy rate of 97%.

关 键 词：自动穿带 带头跟踪 堆钢 预报警 神经元网络模型 

分 类 号：TF[冶金工程]