Process Engineering

Visual Analytics methods are used to measure and compare production processes in Industry 4.0. This is important, for example, when analyzing changes or errors in production output. We offer solutions for all industries that enable comparisons between different production periods and states through the high-speed visualization of large data sets, opening up a completely new dialogue between users and data. A main focus here lies on multivariate analyses, time series and regression analyses.

Predictive modelling

All the data that accumulates in Industry 4.0 is important information that, when correctly prepared, not only improves the explanation of existing processes, but above all enables forecasts for the future. Visual Analytics offers a range of presentation options here, above all predictive modelling, which can predict future results based on real data. Here it is essential to always focus on evaluating the quality of the data because models can only be as good as the data on which they are based.

Digital Twin

The digital twin and its fields of application are among the most important topics in Industry 4.0, where companies are facing major challenges due to the digital transformation. As a digital copy of a real object or as a model of something that will be created in the future, the digital twin makes it possible to run through production processes from the initial idea to production and to simulate a wide variety of scenarios in a very short time. The preparation and accompaniment of real production processes by digital twins not only saves costs and resources but also allows a better understanding of the data and thus, for example, more accurate predictions in a production plant.

XR & XR training

Immersive technologies provide meaningful solutions for handling the large volumes of data that are routinely generated in Industry 4.0. With the help of extended reality (XR), even big data can be made accessible to people in a way that is easy to understand and low-threshold: for example, by processing huge data volumes in virtual reality. In this way, the user can, literally speaking, stick his head into his 3D data.

Extended Reality applications in the area of training and education, which are increasingly used in Industry 4.0 in planning, control and production, function in a comparable way. Virtual reality training courses offer employees highly realistic environments and experiences in which they can immerse themselves "as if in real life" and thus have a lasting, authentic learning effect. VR training is particularly suitable for complex or even high-risk training, e.g., in the area of fire protection.