About One Approach to Using Dynamic Models to Build Digital Twins

Abstract

The modern stage of technology development is characterized by the emergence of new paradigms for the construction of anthropogenic systems, such as cyber-physical systems, socio-cybernetic systems, etc. The task of data acquisition about the state of a multi-level system and managing the structure and behavior of a system consisting of many thousands of elements of different physical nature is a complex task. This article describes one of possible approaches to solving the problem of data acquisition and management of the structure of a large-scale heterogeneous system. The proposed approach is based on the idea of using dynamic digital twins, which are dynamic models of the observed system. This approach was used for the development of systems in various subject domains, in particular, in production management systems built on the Industry 4.0 principle, in the development of a technical support system for cable television networks and in the development of support systems for the construction of educational trajectories.

Synthesis of multi-stakeholder run time dynamic digital twins and dynamic digital twins networks

“…This task can be considered as a problem of troubleshooting in a heterogeneous distributed system. This project is described in more detail in [34,35]. Example 2.…”

“…S-models by the most part were used for receiving information about production equipment technical conditions. Knowledge graphs were used to represent the models in order to build a corporate knowledge graph [35,36].…”

Scalable Compositional Digital Twin-Based Monitoring System for Production Management: Design and Development in an Experimental Open-Pit Mine

“…In the "Must-have" category, we have essential components like "Data Flow/Updates", which is the most livewire that keeps the DT algorithm in real-time modes, thereby giving it its relevance and accuracy. "Real-time Synchronous" operation, in turn, updates the DT with the immediate data and changing of conditions of the physical counterpart in a real-time manner [8], ensuring the quick response requirements. "Connectivity" is fundamental giving the possibility of working and exchanging ideas in a seamless setting with the sundry systems and "Simulatability" is thus used to simulate the behavior of the physical asset with the desired level of accuracy.…”

Digital Twins in the Automotive Industry: The Road toward Physical-Digital Convergence

“…Facilitates activities such as monitoring, coordination, and control of industrial systems in production lines. Its main function lies in the reduction of errors and production delivery time [12][13][14][15][16][17][18][19][20][21].…”