Digital twin

A digital twin is a digital representation of a physical product or system throughout its entire lifecycle. During the creation phase of a digital twin, the relevant data is primarily sourced from CAD and PLM systems. As the product lifecycle progresses, the digital twin is continuously enriched by data from other IT systems, such as ERP, MES, or IoT platforms. This allows operational and service data to be integrated, enabling a digital representation of the product throughout its entire lifecycle. The digital twin can be implemented, for example, via an Asset Administration Shell (AAS). This industry standard provides uniform, structured, and interoperable data models for products and processes. Data rooms enable secure and controlled access to these digital twins and allow data from different systems to be shared efficiently. In this way, they lay the foundation for optimized processes and sustainable business models.

Read more about this in our white paper "Applications in Manufacturing-X"

Challenges

Different industries and target groups each present specific challenges for digital twins, which complicate their implementation and development.
  • Data Consistency Throughout the Product Lifecycle
  • Reduce system failures
  • Boost Productivity Through Collaboration
  • Automatically report on sustainability

Possible solutions

In various projects such as Factory-X, Robot-X, RoX, Decide4Eco, and DAVID, these issues are addressed in different ways and tackled through targeted solutions.
  • Standardized AAS submodels facilitate data exchange
  • Real-time information provision throughout the product lifecycle
  • MX connectors connect applications
  • SaaS solutions provide DPP

These projects focus on

The Benefits of a Data Room

  • Data Consistency Throughout the Product Lifecycle

  • Boost Productivity Through Collaboration

  • Automatically report on sustainability