Leveler is the main equipment to improve steel flatness, which is one of the keys of Industrial materials quality control but was traditionally artificially controlled, in this way the precision of control is restricted, for the dependency on workspsila technical experience and the limitation of naked eye observation. Furthermore, it canpsilat achieve automated control system like PLC. This paper presents an intelligent control model based on multi and structured detection method. On one hand, it captures the flatness information by multi and structured light. On the other hand, it study historic sample and combine it with the flatness information to confirm best technological parameters, using genetic algorithm and SVM regression algorithm. By apply this model in the product line of Tangshan iron and steel plant, we have prove its practicability in industrial production.
['Liu Kai', 'Hongzhe Xu', 'Xiaohui Peng', 'Li Yue', 'Chen Ming']
Research on Intelligent Control Model of Leveler Based on Multi and Structured Light Detection Method