DEVELOPMENT OF LINGUISTIC MODELS FOR EVALUATING QUALITY INDICATORS OF BENZENE AT THE OUTLET OF THE BENZENE COLUMN IN A FUZZY ENVIRONMENT

Currently, due to the intensive development of the petrochemical industry and the growing demand for its products, increasing the productivity of high-quality benzene production facilities based on their models has become an actual scientific and practical problem. In practice, the main indicators of benzene quality are assessed imprecisely based on the experience and knowledge of process engineers who manage the benzene production process and specialists from the plant laboratory. The paper proposes a method for synthesizing linguistic models of poorly formalized technological facilities, such as a benzene column, with fuzzy input and output parameters, allowing for the modeling and optimization of their operating modes in a fuzzy environment. Based on the proposed method, linguistic models have been developed to evaluate the main quality indicator of benzene produced in the benzene column of the Atyrau oil refinery, which is the subject of the study. Based on the developed linguistic models-a rule base in Fuzzy Logic Toolbox-fuzzy modeling of various operating modes of the studied benzene column and optimization of its mode were carried out. As a result, the optimal operating mode of the benzene column was determined, allowing to maximize the volume and quality of benzene from its output. The novelty and importance of the proposed method for synthesizing linguistic models of complex technological objects in a fuzzy environment lies in the fact that it allows the development of effective linguistic models of objects with fuzzy input and output parameters. The practical significance of the developed linguistic models of the object under study lies in the optimization of its operating modes in a fuzzy environment based on fuzzy modeling.

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