What are Digital Twins?

Digital Twins are virtual replicas of physical objects, which can be used to monitor and predict the behaviour of the real thing. They are particularly useful for organisations with IoT-enabled machinery such as production lines, factories, energy networks, transport systems, as well as with fleets of discrete objects deployed at multiple remote locations.

Other examples include companies with plant machinery like construction vehicles, robots on a production line, or aero engines.

Digital Twin Visualizations allow holistic, spatially-integrated viewing of all the sensor data for each real object - all its components and their data can be seen in situ. This provides a kind of X-ray vision of the object e.g. parts of an engine may be colour-coded by temperature or speed, so a remote monitoring team can quickly see when parts are overheating, and understand the spatial relationships between each data source.

Additionally, multiple digital twins can be viewed side-by-side even if each real object is in a different geographical location. This allows rapid comparison of a large set of objects, and can help to find emerging issues such as component overheating and failure before they are obvious by other means.

As IoT data proliferates, we are faced with finding ways to understand and derive insight from this vast and rising tide of numerical complexity. Digital Twins provide a compelling way by gathering, processing and presenting vast quantities of machine data in a human-friendly spatial representation.

Why use Unreal?

By using Unreal Engine, Digital Twin Visualizations can be made both cinematically realistic and richly interactive. Unreal Engine's unparalleled realtime rendering capability allows developers to create photorealistic materials and lighting, as well as import existing CAD models using Datasmith, Unreal's built-in CAD importer. 
Adding interactivity via Unreal Engine's blueprints or C++ code allows developers to build Digital Twin applications that allows users to drill down into the models, explode and manipulate the components, pivot views and filter by any property or data value.

Why use Datasculpt?

Using Unreal engine and Datasculpt together allows developers to rapidly and easily create class-leading Digital Twin applications which can both visually amaze and engage their users with their accuracy and detail, but also create powerful insight-driven tools for those users, whether they are domain experts in an organisation or consumers at large.  
Datasculpt can be used to pull any data into your Unreal application in realtime and use it to create data-driven behaviours, changing the spatial and material properties of models and scenes to expose insight.

Combined with Datasmith for importing CAD models, Datasculpt provides a world-leading rapid prototyping platform for developing digital twin visualizations and applications from existing assets and systems.  

What else can Datasculpt be used for?

Datasculpt can be used in a wide range of other use cases and industries:
Live Ops - modifying an application in realtime without doing a software update or patch, e.g. balancing game values, altering camera settings, changing material properties and physics.
Data Visualization - exploring both spatial and abstract data, mapping dimensions to physical properties e.g. width, height, colour, movement, texture. Complex objects can be created to embody datasets holistically for comparison and discovery of emergent patterns only visible in 3D.
Smart Cities - feed multiple complex city datasets into an Unreal application to bring city models to life.

HMI - Create infinite state, data-driven realtime rendered interfaces.
Audience Engagement - Create interfaces to allow spectators to interact with gamers in realtime, influencing play and creating two-way communications between audience and players.
Find out more about the benefits and features of Datasculpt here

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