Mathematical Models and Algorithms in Constructing Decision Support System for Hot Rolling Mill Operator

The paper describes the structure of an information system for predicting the profile of hot-rolled steel. To predict the transverse profile, an integrated model is used, including models of roll bending, roll profile wear, roll thermal expansion, and roll flattening. Methods for calculating individual elements of the integrated model are described. A comparison of the predicted profile with the real one is given. Suggested criteria for assessing the quality of the transverse profile are also given. The order of the stages required for the software implementation of the hot rolling mill operator's information system is given.