Industrial

Metaverse

The Convergence of Physical and Virtual Space

Your Contact Person

Michael Hernandez

Research Coordinator ARENA2036 e.V.

Action guides for getting started in the industrial metaverse

ARENA2036 is a place where the industrial future takes shape. In our real-world laboratory, companies and research institutions test how physical production and digital models can be combined to form a shared, intelligent system.

The Industrial Metaverse is creating a new kind of value creation: data from machines, sensors, and processes flows into virtual images that support decisions, simulate processes, and visualize changes before they take place in the real factory.

Our guidelines provide a structured overview of these technological fundamentals and show how they can be applied in practice. They summarize proven methods, workflows, and empirical values from the real-world laboratory, making the industrial metaverse understandable and accessible for companies of all sizes.

 

The individual documents explain key concepts, provide guidance, and offer step-by-step support for implementation.

An Overview of All Modules

Overview of all individual modules in the reference stack: from organizational fundamentals to production-level web streaming:

Basics
Getting Started
Getting Started & Motivation
Vision & Added Value
Shift 2
Degrees of maturity
Maturity Levels & Digital Twin Concepts
The Twin's Stages Model
Layer 3 (Ref)
Platform
Platform Architecture & Nucleus
Nucleus Server & Workspace
Layer 2 (Ref)
Security
Network Security & Firewalls
Ports, DMZ, and VPN
Shift 2
Governance
Protection of Know-How & IP Governance
Deep Twin vs. Digital Shadow
Shifts 2 & 3
Structure
Data Management & Asset Structures
Filing & USD Hierarchies
Layer 3 (Ref)
Rhino
CAD Tessellation & MDL Shading
Export & Shaders via Rhino
Layer 1 (Ref)
connectivity
Live Connectivity & PLC Integration
Signals via MQTT
Layer 5 (Ref)
Streaming
WebRTC Pixel Streaming
Tablet & Browser Access
Layers 1–5
Use cases
Shop Floor Use Cases & Validation
ARENA2036 Field Testing
Methodology
Catalog
Requirements Catalog: Readiness Check
Eligibility Criteria
Complete Volume
Compendium
Compendium: Omniverse Reference Stack
Consolidated Complete Works
Learning Paths

Learning paths organize the guides around specific tasks. Instead of a rigid catalog, you can choose the path that best suits your role and prior knowledge:

Extras

Accompanying Reference Work: Glossary

Concise definitions of key terms, ranging from OpenUSD to the Asset Administration Shell (AAS) to WebRTC and MQTT.

Glossary Icon Open Glossary (PDF) →