Intelligent identification system of end face information code of continuous casting billet
WANG Chunmei1,HUANG Fengshan2,LIU Mi2
(1. School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, Hebei, China;
2. School of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, Hebei, China)
Abstract： In order to solve the problem of continous casting billet information tracking in steel mills and improve the level of intelligence production, an intelligent identification system of end face information code of casting billet was established, and the recognition method of the system was studied emphatically. Due to the influence of some factors such as workshop environment or the end face of casting billet itself on the imaging problem, it was very difficult to recognize the information code of the end face of casting billet intelligently. Aiming at the problem that the existing character recognition methods cann′t meet the needs of the actual production line on site, an image recognition method of multidirectional gray level cooccurrence matrix was proposed. This method used the gray level relationship between the image pixels to extract the feature, and the feature template library was established. The realtime intelligent recognition of the information code of the end face of continuous casting billet was carried out through the comparison of the eigenvalue. The principle and steps of the recognition method were given in detail. The experimental results showed that this recognition system can effectively reduce the error rate of information code identification and reduce the recognition time to improve the production efficiency. It can meet the realtime requirements of the production line.
王春梅，黄风山，刘咪. 连铸坯端面信息码智能识别系统[J]. 中国冶金, 2019, 29(5): 33-37.
WANG Chunmei,HUANG Fengshan,LIU Mi. Intelligent identification system of end face information code of continuous casting billet[J]. China Metallurgy, 2019, 29(5): 33-37.
2019, Vol. 29 
