Industrial

Our partners are already using the digital twin for many applications. These include reinforcement learning in robotics, simulation of sensor systems, room planning, coordination of processes in test setups in production environments and the virtual commissioning of automated systems.

Here we show you the way to the digital building twin - not just as a project description, but as a practical guide for anyone who wants to implement similar projects.

Phase 1 - Recording the space

A digital twin begins with a precise mapping of the real environment. In the brownfield approach, laser scanning technology is used at ARENA2036. With the help of laser scanning images, the existing geometry of the entire building can be captured with high precision. The point cloud generated forms the spatial basis for the digital twin. It reflects the actual structural conditions, including deviations that have arisen during operation. It enables the precise positioning of virtual objects in relation to the real infrastructure. The point cloud is regularly expanded so that the model also reflects changes over time. This creates a digital twin that evolves together with the real environment.

A part of the point cloud can be viewed in the following section. This allows you to experience the spatial accuracy directly.

Phase 2 - From model to simulation platform

A structured model is created based on the point cloud. Established tools from architecture and planning can be used for this. The model was exported in USD format to enable later use in different systems. This model was transferred to the NVIDIA Omniverse simulation platform. There it was extended with logical information, properties and structures. Spaces were defined, metadata assigned and interactive elements prepared. The platform supports distributed development and parallel work. Different teams can simultaneously create content, carry out tests or prepare applications that are linked to real processes.

The following video shows the digital building twin of ARENA2036 in action.

Phase 3 - Connection to real data

In the final step, the digital twin was connected to real data sources. The model continuously receives information from sensors, motion detection, energy monitoring, access systems and other technical components via standardized interfaces and so-called connectors. This integration enables the direct observation of conditions in the building, automatic reactions and the development of data-based applications. Partners use the digital twin to test robotic processes, carry out virtual commissioning, optimize sensor positions or use space more efficiently.

The digital twin grows with the building. It remains up-to-date, supports decisions and enables joint development in a shared digital space.

An example of digital twins in existing buildings

The digital building twin of ARENA2036 was not created for an empty or theoretical scenario. It was developed in an existing and actively used building. This makes it a concrete example of the potential of digital twins in complex environments. The structure supports collaboration while protecting intellectual property. With regulated access, open formats and clear responsibilities, many participants can work together on one system without compromising security or confidentiality. Anyone wishing to implement a digital twin in an existing environment will find a tried-and-tested and transferable solution in this project. It shows that digital systems in real applications are not only possible, but also make strategic sense.

If you are working on similar topics yourself or would like to tackle challenges in this area, we look forward to hearing from you. Contact ARENA2036 and find out more about our platform, our network and the opportunities for collaboration.