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A digital twin is a dynamic virtualized representation that serves as the real-time digital substitute for a physical object or activity. By combining data and intelligence, it uses simulations to profile, forecast, and improve the performance of industrial assets.
Because it enables the automated control and monitoring of industrial assets and processes, such as product design, manufacturing process planning, asset performance management, business and operation optimization, and others, the digital twin is a crucial part of the Industrial Internet of Things.
Project digital twins can enable the optimization of design in line with operational needs and reduce the risk of delayed or nonconforming construction through simulation during the planning, design, and building of a new railway or major upgrade. Project digital twins can also enhance supply chain logistics and communication, which can assist keep projects on schedule and within budget.
The Russia rail digital twin market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
The Central Directorate Infrastructure of Russian Railways (RZD) explains why one of the top priorities for RZD’s digital transformation is the creation of digital twins. Using the design, operation, and engineering documentation of real objects and their constituent parts, which must be stored in the SEP TD
The RZD’s infrastructure digital twin aims to create 3D models of track facilities and structures, automation and telemechanics, electrification and power supply, parts of the passenger complex, and moving elements (such as various types of waggons, locomotives, electric trains, and special track machines).
Using information from connected industrial and information systems, it is possible to replicate the operation of a RZD infrastructure facility by digitally twinning infrastructure facilities.
