Abstract：The equipment and automation technology of the wide and heavy plate production line have reached a high level,but further improving the product yield has encountered a bottleneck. A steel plate image processing and contour feature extraction algorithm based on the fusion of deep learning algorithms was constructed,then a high-precision wide-width steel plate contour online detection device based on machine vision was developed,and high-precision online detection of steel plate contour was realized,which has a width perception accuracy of ±2 mm,a length perception error of less than 0.5%,and a lateral bending measurement accuracy of ±5 mm. The shear accuracy of irregular deformation area of head and tail is ±5 mm. Based on the monitoring data of machine vision,the rolling size,rolling process parameters and PVPC parameters were taken as input variables,and the metal volume in the deformation area of the plate head was taken as output variables,then a digital twin model of plan view pattern control(PVPC) based on random configuration network was established,and the PVPC curve of controllable points was set according to the steel plate under different broadening ratio and extension ratio. Based on the PVPC setting model and the feedback data of the plan view of machine vision,the volume change corresponding to the head controllable point setting model was calculated,and the corresponding adjustment values of three Gaussian curve functions were calculated from the change amount. Finally,a rolling optimization method of the PVPC model based on machine vision was established,which realizes intelligent prediction,dynamic setting and feedback optimization of controllable point PVPC. The practical application results show that the comprehensive yield based on the traditional plane shape control method is 92.28%,and the comprehensive yield based on the machine vision feedback-based PVPC CPS optimization system is increased to 93.36%,which is more than 1% higher than before. This method has created remarkable economic benefits for enterprises and greatly enhanced the market competitiveness of enterprises.
张殿华, 李旭, 丁敬国, 董子硕. 中厚板平面形状数字孪生模型与CPS优化系统[J]. 钢铁, 2023, 58(9): 137-147.
ZHANG Dianhua, LI Xu, DING Jingguo, DONG Zishuo. Digital twin model and CPS optimization system for plan view pattern control of wide and heavy plates[J]. Iron and Steel, 2023, 58(9): 137-147.
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2023, Vol. 58 
