The digital twin – a comprehensive virtual image of product and production

The digital twin is a comprehensive digital representation of a set of physical objects. It maps all relevant characteristics and states of the physical product or system and can contain, for example, product data from CAD and other models, but also operating and process data.

However, the digital twin is much more than just a container for data: By supplementing the models with historical data and current condition data, the digital twin can be used to implement services such as product tracking, usage analysis, or predictive services for optimized maintenance. The digital twin ensures that all the necessary data is available, that analyses can be carried out, and that the data can be accessed in a user-friendly way thanks to corresponding service protocols.

Fraunhofer IPT has already designed and implemented a wide variety of digital twins for applications in different industries. Due to the concrete application reference, the data collected, structured and merged with modern sensor technology not only cover different products, but sometimes also entire plants and even buildings, so that these units are almost completely digitally mapped in the corresponding digital twins for the purpose of production optimization.

Collecting data, processing it accurately and using it profitably – the digital twin in production

The digital twin summarizes the immense amounts of data that converge in the cloud thanks to modern sensor technology and fast data transmission. Structuring and evaluat-ing the data in such a way as to produce useful analyses for production is one of the tasks to which we at Fraunhofer IPT devote ourselves with great commitment.


Use large amounts of data productively

We will be happy to work out how you can process large amounts of data efficiently and securely in your company in the sense of "big data" based on your individual tasks.

Data structures for the digital twin

Using the example of optics production, we show in this whitepaper how data is structured and processed into a digital twin.

Detect component vibrations at an early stage

Vibrations in the milling process are not uncommon and can ruin the entire component. The digital twin helps to detect critical points already in the simulation.

Fast computation with quantum computing

Sensitive sensor technology and high data rates lead to immense amounts of data. We are exploring how quantum computing can turn this data into useful information.