Implementation features of local and remote technical objects digital twins

Резюме

This paper explores the potential for implementing digital twin technology, focusing on the internal structure of the research object and the remote characteristics of its surrounding environment. Specifically, it examines and demonstrates the practical application of local digital twins, which replicate the object's structural parameters using data from sensors and measurement devices positioned at key nodes within the research object. Another category of digital twins leverages data collected from instruments measuring external environmental conditions and falls under the classification of remote digital twins. When combined, these local and remote digital twins create a comprehensive framework for predictive decision-making, assessing both the current status of the object and potential outcomes in emergency situations. This study seeks to explore the feasibility of integrating digital twins across various hierarchical levels of the research object. The findings presented in this paper represent the authors' practical innovations, which demonstrate effective outcomes and offer a foundation for advancing research objectives in this area.