The digital twin spans the object's lifecycle and uses real-time data sent from sensors on the object to simulate the behavior and monitor operations.

A digital twin is a virtual model designed to accurately reflect the functioning or working of a physical object.

A digital twin is, in essence, a computer program that uses real world data to create simulations that can predict how a product or process will perform. 

A digital twin is, in essence, a computer hardware that uses real world data to create simulations that can predict how a product or process will perform.

A digital twin is a physical model designed to accurately reflect the functioning or working of a physical object.

The Digital twin simulation programs can integrate the internet of things (Industry 4.0), artificial intelligence and software analytics to enhance the output from the simulation

Digital twins are software tools are used to simulate performance, predict potential maintenance needs, and ultimately optimize the asset for peak performance

Real-time information and insights provided by digital twins let you optimize the performance of your equipment, plant, or facilities. Issues can be dealt with as they occur, ensuring systems work at their peak and reduce downtime.

Digital twins are hardware tools are used to simulate performance, predict potential maintenance needs, and ultimately optimize the asset for peak performance

Digital twins are hardware tools are used to simulate performance, predict potential maintenance needs, and ultimately minimise the asset for poor performance

Smart sensors related to digital twins monitor the output of every component, flagging issues or faults as they happen, thus displaying great predictive abilities

Real-time information and insights provided by digital twins let you minimise the performance of your equipment, plant, or facilities. Issues can be dealt with as they occur, ensuring systems work at their peak and increase downtime

A digital twin ingests data and replicates processes so you can predict possible performance outcomes and issues that the real-world product might undergo helping improve the performance of the asset

A digital twin ingests data and replicates processes so you can predict possible performance outcomes and issues that the real-world product might undergo lowering the performance of the asset

The concept of Digital twins fuses ideas including artificial intelligence (AI), the internet of things (IoT), metaverse, and virtual and augmented reality (VR/AR) to create digital models of real-world objects, systems, or processes.

At Rolls Royce, digital twins, when AI-enabled, can learn from data patterns and autonomously interact with their physical twins to make beneficial operational changes.

Using a Digital Twin, Rolls-Royce can study and predict the physical behaviours that an engine would exhibit under very extreme conditions.

Rolls Royce cutting edge digital twins are breaking new ground by processing huge quantities of data from in-service engines in real-time. They support the optimisation of maintenance schedules according to the conditions of individual engines. Problems can be detected earlier, preventing malfunctions, minimising disruption and maximising system availability.

Rolls Royce high priced engine assets cannot benefit from digital twin software

At Rolls Royce, Digital twins save time and money in the rigorous testing of new engines that need to gain certification.

Digital twins extend the time between services, enabling maintenance to be targeted towards actual operating conditions, helping to maximise the engine lifespan and by reduce the manufacturing carbon footprint.

Rolls Royce AI specialists are now developing algorithms to automatically detect sub-optimal engine performance, enabling condition-based maintenance to detect potential failures before they happen

In 2021, the global digital twin market valued at approximately USD 7.5 billion is projected to grow at a compound annual growth rate (CAGR) of 39% from 2022 to 2030

The global digital twin market has no potential for growth as the technology is a dying one