DOI: 10.17587/prin.13.425-439

System Engineering of the Organizational and Technical Systems' Digital Twins Using Artificial Intelligence Methods

E. V. Orlova, ekorl@mail.ru, Department of economics and management, Ufa state aviation technical university, Ufa, 450008, Russian Federation

Corresponding author: Ekaterina V. Orlova, D. Sc., Professor, Department of economics and management, Ufa State Aviation Technical University, Ufa, 450008, Russian Federation, E-mail: ekorl@mail.ru

The article considers the problem of digital twin design of organizational and technical systems. The theoretical and methodological basis of the research is the fundamental scientific works and applied works of Russian and foreign scientists in the field of digitalization and digital twins. Following methods are used in the research: system analysis, statistical analysis, operational research, artificial intelligence. A comprehensive analysis of approaches and methods for digital twin design of organizational and technical systems is carried out. It is shown that for complex organizational and technical systems operating under uncertainty, there is no comprehensive, universal technology (methodological approach) for organization the process of developing digital twins in order to accelerate their engineering. The technology for organizing a digital twin design, combining design stages, methods and models, and providing its system engineering is proposed. The decision support model is developed for diagnosing the technical state of an object (technical device), based on the methods of situational analysis and fuzzy logic, which provides the synthesis of effective solutions under various situations and combinations of heterogeneous factors characterizing the object and its external environment. The practical significance of the research is the developed decision support system, which is the basis for control system in solving problems related to monitoring the current state of technical devices (instruments, equipment) and developing adequate decisions to eliminate their disfunctions.

Keywords: digital twin; methods for modeling digital twins; system design of digital twins; artificial intelligence methods

pp. 425—439

For citation:
Orlova E. V. System Engineering of the Organizational and Technical Systems' Digital Twins Using Artificial Intelligence Methods, Programmnaya Ingeneria, 2022, vol. 13, no. 9, pp. 425—439.