A digital twin is a virtual version of an object or system created using simulation, machine learning, and design engineering knowledge.
A virtual twin places your digital twin within a highly accurate, simulated environment.
This enables you to explore and examine your product's real-world performance before going into production.
Before investing in prototyping or physical development, test and validate your design, and your production processes. This new capability accelerates the development of better, more sustainable products by greatly improving risk assessment and ensuring production reliability.
Using IoT sensors to generate real-time data, a digital twin enables your organization to proactively identify potential system issues and schedule predictive maintenance to a high degree of accuracy.
Using a virtual twin enables you to predict maintenance cycles pre-production and build serviceability into your product’s lifecycle.
Reduce time waste, material usage, and energy consumption by ensuring optimal development and production processes ahead of time. Avoid unnecessary prototyping costs by continually monitoring real world usage and feeding information back into the innovation and design phases.
Digital Twins are gaining recognition and popularity as a solution for digitally representing a product, a building, or even a human being. This is enabling new opportunities to improve performance, operations, productivity, and quality of life.
A Digital Twin strategy to drive sustainability programs can be profoundly effective, offering significant benefits when planning, implementing, and realizing: