
A Digital Twin is a virtual instance of a physical system (twin) that is continually updated with the latter's performance, maintenance, and health status data throughout the physical system's life cycle.
Reduce costs for businesses by enabling predictive maintenance.
Identifying potential issues before they escalate into expensive problems.
Optimizing resource allocation based on real-time data, minimizing waste and inefficiencies.
Facilitate virtual testing and simulation, reducing the need for physical prototypes.
Accelerating product development and time-to-market.

All documents (drawings, instructions, etc.) related to the equipment throughout its lifecycle.

Properties of a physical device (measured or calculated) converted to a 3D digital representation.

Alignment of a model with real world parameters (location and time).

Digital representation of the equipment that contains all the properties and behaviors of a physical device.

Representation of a physical device in a simulation environment to study its behavior.

Graphical representation of the object either on computer screen or personal Device.
Sensors distributed throughout the manufacturing process create signals that enable the twin to capture operational and environmental data pertaining to the physical process in the real world.
Real-world operational and environmental data from the sensors are aggregated and combined with data from the enterprise, such as the bill of materials (BoM), enterprise systems, and design specifications.
Should an action be warranted in the real world, the digital twin produces the action by way of actuators, subject to human intervention, which trigger the physical process.
Analytics techniques are used to analyse the data through algorithmic simulations and visualization routines that are used by the digital twin to produce insights.

Enhanced product design through virtual prototyping and testing
Centralized data collection and analysis for better decision making
Proactive identification of potential issues before they escalate
Optimized manufacturing processes and quality control
Schedule maintenance based on actual equipment condition
Minimize disruptions through preventive measures
Track and monitor product performance after deployment

Urban Development digital twin streamline land management, enhance planning, and optimize maintenance for efficient and sustainable operations.

Cities can integrate IoT sensors throughout urban infrastructures such as water pipes, roads, and electrical grids. The digital twin uses this data to monitor the city's infrastructure.

Smart building digital twin optimize energy usage, predict maintenance needs, and enhance occupant comfort and safety seamlessly.

Smart infrastructure digital twin revolutionize urban planning, optimize resource allocation, and enhance resilience for sustainable development and growth.

DT can create interactive and immersive experiences for visitors. Through augmented reality (AR) or virtual reality (VR), visitors can explore museum pieces digitally, including those not physically displayed due to space limitations or conservation needs.