Modeling Subsystem for Optimizing Reforming Processes of an Intellectualized Decision Support System

Abstract

The creation of intellectualized decision support systems (IDSS) for managing various, complex and difficult to formalize objects is currently a topical issue of science and practice. In this work, a subsystem for modeling ISSPR is created, which makes it possible to determine the effective operating modes of the catalytic reforming unit reactors. Mathematical models of the investigated reactors are developed on the basis of statistical data and fuzzy information obtained by expert assessment methods. Accordingly, the models for determining the volume of products produced from the output of the reactors are built in the form of statistical models, and for assessing the quality of the target product of the reforming process, i.e., catalyzate, based on expert information in the form of fuzzy models. An IDSS structure has been created to control the operating modes of the investigated reactors, which differs from the known structures of similar systems in that it includes a package of models of the control object and heuristic methods for solving decision-making problems, which make it possible to take into account the fuzziness of the initial information. In addition, the proposed IDSS structure contains a knowledge and data base, identifiers of model parameters, an intellectualized user interface and a block for explaining the selected solutions, which make it possible to increase the efficiency of the system. Describe the functions of the main functional blocks of the created IDSS.