Abstract
The overall objective of the research is to develop methods and tools for building synergistic systems that use expert assessments and elements of artificial intelligence to evaluate the hazardous production facilities technical condition using graphical information and methods for processing it. The paper presents the results of an intermediate stage, the construction of a synergistic system model for automated monitoring of the hazardous production facilities technical condition with artificial intelligence elements, which is an integral part of system analysis in the design process. The research corresponds to priority area A of the national project “Science and Universities.” The authors justified the use of the system synergistic properties, such as self-organization, openness, adaptability and cross-disciplinary. These properties led to the construction of a two-level model: an extended structure of an applied digital platform for assessing the hazardous production facilities technical condition including an artificial intelligence platform; a conceptual model of an automated monitoring system for assessing the hazardous production facility element technical condition including two main objects ensuring the system openness to the external environment and 11 models of an applied digital platform. The research has been conducted since 2020 and it continues to the present day with financial support from a large metallurgical enterprise in the Russian Federation. The solutions obtained have been used in the development of a unique pilot version of an automated monitoring system for the hazardous production facility technical condition at a metallurgical enterprise. A promising model development direction is the establishment of each module structure for the conceptual model, the algorithm development for the system self-development and adaptability, the software product design, its implementation and testing.
Keywords
automated monitoring system, technical condition, synergistic system, self-organization, openness, adaptability, and interdisciplinary, extended structure, conceptual model
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