Productivity increasing of the crushing and beneficiation plant based on the optimization model

Due to the fact that the demand for iron-ore pellets in the Russian and international markets is high, the task of increasing the volume of iron-ore concentrate production while providing required quality is urgent. The paper sets a general engineering-and-economical target to improve crushing and ore beneficiation plant (CBP) operation by the criterion of maximum marginal profit of the enterprise. The task is solved by observing technological constraints according to the regime of the technological unit operation, type of the produced concentrate, the provision of the required quality of the concentrate at the end of the process, the equipment configuration and other parameters. The specific task of increasing efficiency of the technological unit of the CBP by means of optimization of the equipment operation has been thoroughly considered. Traditionally such tasks are solved by applying a physical and chemical model coupled with experimental research of the technological process. The paper presents the approach based on the application of the optimization mathematical model, developed using intellectual analysis of statistical data - Data Mining. To develop the model, the method of decision tree was used. The search method is used to find the best decision in terms of the chosen criterion. Modelling results in evaluation of the unit efficiency depending on the influence of an input controlling factor, parameters of the base ore, as well as technological constraints. A methodological example of applying the model of control over the technological process of iron-ore concentrate production at the technological unit of the grinding and pellet plant with the increased efficiency of up to 7% was provided. Practical implementation of the proposed approach will allow the operator to obtain recommendations about correcting the control parameters of the technological equipment operation using the existing automated control system in a real time mode at the unit of the DOF, taking into account current conditions of the technological process.