Industrial

Metaverse

Industrial Metaverse at ARENA2036 - real laboratory and showcase

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Heike Wohlfeld

ARENA2036 e.V.

Research Coordinator

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Industrial Metaverse- The planning and future of industrial value creation

The "industrial metaverse" is currently developing into a fundamental trend because the converging technologies within it are the key to shaping and mastering the many challenges currently facing industry and the world of work.

By merging digital twins with their real-life counterparts, companies can optimize production and processes in a continuous feedback loop. Buildings, factories, machines, robots and entire processes can be modeled and simulated, enabling virtual, resource-saving tests, training and extensive collaboration, for example. With the help of AI, data can be generated in the virtual world and used as a basis for developing sustainable products and efficient factories and buildings. Virtualization in engineering enables everyone to innovate without risks or high additional costs and to collaborate from anywhere with low entry barriers. This convergence of the digital and real worlds and enabling people to interact with each other and machines in real time - just like in the real world - will permanently change the way we work (together).

Thematic focus

Digital building twin

Simulation, virtual commissioning

Administration shell connection Metaverse

3D data formats

Metaverse architecture

Standardization

Governance, roles and rights concepts

Virtual production planning

Network digital twin, connectivity

Plug-and-play capability

Digital Services

Virtual Humans

Use cases with digital twins in the metaverse

Data from Digital Twins

Brief profiles of the thematic focus areas:

Focus	Description
Digital building twin	Use cases and added value of a virtual building image, e.g. through scan data, modeling in 2D or 2D
Simulation, virtual commissioning:	Increased efficiency, error reduction, real-time data, automation. Model accuracy, real-time behavior, scenario analysistest environment, sustainability.
Administration shell connection Metaverse:	What is needed for interoperability in ecosystems? Semantics, guidelines, interfaces / interfaces. Realize synergies (supply chain).
3D data formats:	Which standards for 3D data formats are becoming established? Focus on metadata vs. focus on 3D data. And a combination.
Metaverse architecture:	Who collects which data, what governance is required for this? Monitoring, quantification and qualitative evaluation, e.g. how many Daily Active Users (DAU) are there for what in the virtual world?
Standardization:	Collection of topics for everything that requires a standardized exchange requires.
Governance, role and rights concepts:	Who collects which data, what governance is required for this? Monitoring, quantification and qualitative evaluation, e.g. how many Daily Active Users (DAU) are there for what in the virtual world?
Virtual production planning:	possibly with AI optimization: from geometry to processes to controllability. Which data/information/knowledge can be meaningfully linked with each other? linked with each other.
Network digital twin, connectivity:	Visual mapping of the network in the virtual world Network requirements (connection to cloud, data collection by AGVs via WiFi). Predictive maintenance: Server requirements (physical/cloud). Virtual control on how many computers.
Plug-and-play capability:	Is there integrability or scalability, how can this be achieved and what are the necessary prerequisites for this?
Digital Services:	complementary offers to the physical product, based on a digital twin. Offer customers concrete added value through condition monitoring, predictive maintenance, efficiency and performance optimization.
Virtual Humans:	as digital, AI-supported avatars or assistants in the industrial metaverse. Acting in virtual environments as an interactive interface between human and the digital system. Areas of application include: education and training (e.g. as virtual trainers), customer service and support (e.g. as interactive contact persons). contact person).
Use cases with digital twins in the metaverse:	Where are added value and (customer) benefits generated, how can this be mapped, demonstrated and evaluated? What ROI can be realized for which use cases can be realized?
Data from Digital Twins:	What information are needed? When? Which (core) data from Digital Twins should be continuously maintained and updated? Minimum requirements for Digital Twins. Selection, (data) quality, up-to-dateness, interfaces, AI evaluation. Metafunctional data.

Objective and target group

Objective: Building on the existing innovation ecosystem of ARENA2036, a real laboratory for an industrial metaverse will be created that, on the one hand, uses use cases to demonstrate what is already possible today and, on the other hand, identifies open development needs and questions from practice. In addition to its function as a test and experimental environment in a "quasi-real factory", the ARENA2036 industrial metaverse is intended to act as a showcase for demonstration and transfer by making concrete added value tangible and tangible in the direct interaction of the real and virtual dimensions.

Target group: External companies (especially SMEs) for orientation with regard to potential and implementation and to build up knowledge and skills to gain connectivity, all members of ARENA2036 with a direct or indirect connection to industrial metaverse topics, other lighthouse initiatives for mutual networking and to establish interdisciplinary cooperation.

The following companies regularly exchange ideas in the "Tech Forum Metaverse":

Details, dates and further information on the Industrial Metaverse can be found here.