Provision the reliability and safety of chemical and petrochemical manufactures with the aid of methods of informatics and artificial intelligence
The paper presents the models and methods for creation and application of hybrid intelligent systems, providing solvingthe unformalized multidisciplinary problems in the field of the reliability and safety of chemical and petrochemical manufactures in terms of processing large volumes of information. The self-organizing algorithm based on parameters of the order and cybernetic control circuits is proposed. The algorithm allows forming the structure and functions of the decision-making system when obtaining the information that is not presented in the models.An aggregate simulation model for a description of the equipments investigated is presented. The feature of the model is the use of analytical models to determine continuous changes of the technical conditions, and methods of artificial intelligence for discrete changes. The self-organizing algorithm and simulation gives opportunity to solve inter- and multidisciplinary problems on the basis of aggregation of goals and objectives of specialists of different scientific fields, and an adequate exchange of information among them on the decisions made and the results achieved in various stages of investigation. Integration of knowledge and increased the effectiveness of decision making in the field of the failure risk reduction are the main result of the joint application of the self-organizing algorithm and simulation.