DYNAMIC EXPERT SYSTEM INFERENTIAL MECHANISM FOR POLYPROPYLENE PRODUCTION PROCESS

The oil refining industry is one of the most important industries in our country, a kind of locomotive for economic development. Automation issues in the field of oil refining and petrochemistry are not at the proper level yet. Therefore, the topic can be considered an urgent research problem. This paper is devoted to the development of an inferential mechanism of dynamic expert system for managing the technological processes of polypropylene production by leaching, washing, and drying an oil refinery, which can be considered a scientific novelty. At the beginning, an enlarged structure of the created dynamic expert system is given and their contents are revealed. Then the general structure of the inferential mechanism is given. A special place is allocated to building a knowledge base. The knowledge base consists of products in the form of "if-then". They were divided into two groups: products for emergency situations and products of a technological nature. Specific products are given. To organize a logical conclusion, the apparatus of the theory of fuzzy sets was used and a mathematical description of the scheme developed by us for making a decision from a situation that arose in production was given. Keywords: expert system, inferential mechanism.