Digital Twins
Create precise 3D models of your plant or building systems to simulate, monitor, and optimize performance. Ideal for retrofit planning, asset management, and operational efficiency.
Info
Our expertise allows us to create digital twins that serve as precise blueprints for optimising both operational and spatial transformations.
A digital twin is a digital representation of a physical asset, process or system. It is distinguished from any other digital model by its dynamic connection to the physical twin. A digital twin unlocks value by supporting improved decision making.
Digital twins are tools that enable us to go through the information value chain more efficiently – turning data into insights that enable improved decisions and provide better outcomes.
Digital twins should not be constrained by definitions. They can connect to a variety of assets, processes, and systems using a variety of technologies, data types, data collection methods, analysis models, visualisation techniques and intervention types. The composition of a digital twin is driven by its use case and the purpose it serves.
The degrees of digitisation and digitalisation may also vary. By not constraining digital twins to a specific definition, we look beyond the potential complexity and realise their true value.
Outside of the built environment digital twins are used in other sectors such as manufacturing, agriculture and the automotive industry. We recognise that each sector uses diverse digital twins in different ways and to a different scale.
Digital twins should be systems based, purpose-driven and outcome focused.
Virtual Twin
The Level 1 twin is a physically accurate realistic digital representation of an asset, facility, or product that emulates its real-world counterpart.
In summary, this serves as a highly accurate virtual model of a physical asset, emphasizing visual and physical representation over dynamic interaction or predictive functionalities.
- Keywords
- Spatial awareness
- Interaction
- Experience
- Collaboration
- The Information Value Chain
- Digital twins streamline the journey from data to insights, enabling better decisions and outcomes.
They connect diverse assets, processes, and systems using various technologies and data types, tailored to each use case and purpose. Unconstrained by rigid definitions, digital twins reveal their full potential across sectors like manufacturing, agriculture, and automotive, each applying them uniquely.
Effective digital twins are systems-based, purpose-driven, and outcome-focused.