The structures and model parameters of the hydrotreating reactor of a catalytic reforming unit were identified based on available information of various types. The structural identification of the developed reactor models was carried out on the basis of the ideas of the sequential switching of regressors method, and the parameters were identified using the least squares method modified for working in a fuzzy environment. The developed models have the structure of nonlinear regression models (for output, i.e. hydrogenated) and fuzzy multiple regression equations (for qualitative indicators of hydrogenated). When developing the models with the source information, we used available statistical and experimental data describing the operation of the reactor and fuzzy information representing the knowledge, experience and judgment of experts about the hydrotreatment process. Based on the simulation of the hydrotreatment reactor, a graph of the temperature dependence of the hydrogenate yield of the reactor is constructed. A linguistic model has been constructed that estimates the dependence of the temperature of the hydrotreating process on the quality of the feedstock. This model allows to determine the optimal temperature value in a fuzzy environment depending on the quality of the raw material being cleaned.
The issues of diagnostics of the technological objects operation of the main oil pipeline and control of their operation modes using automated systems are investigated. The systems and methods for diagnostics and determination of oil leakage from main oil pipelines are studied. A method for remote detection of oil leakage from main oil pipelines is described. SCADA systems that allow monitoring changes in all pumping technological parameters in real mode are described. The mathematical formulation of the problem of controlling the operating modes of technological objects of the main oil pipeline in the conditions of indistinctness of some part of the initial information is formalized and obtained. Based on the modification of the idea of the principle of the main criterion, a heuristic method for the effective solution of the obtained fuzzy problem has been developed.
The problem of optimizing the production plan under fuzzy constraints is formulated using the theory of fuzzy sets. To solve the obtained fuzzy optimization problem, a heuristic method is proposed, in which, on the basis of the use of expert information and the knowledge of experts, the decision-maker in the optimization process and the choice of the best solution, it makes possible to improve the solution of the fuzzy problem. The results obtained are implemented and applied when solving the problem of optimizing the production plan of a plant for the production of diamond drill bits under fuzzy constraints. It is shown that when solving the optimization problem based on the proposed fuzzy approach, the plant’s profit from the sale of different types of bits increases to 8%.
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