Neoception® Digital Twin Infrastructure

WHAT IS NEOCEPTION® DIGITAL TWIN INFRASTRUCTURE

The Neoception® Digital Twin Infrastructure (DTI) is a platform designed to consolidate proprietary product data from various data sources into a standardized digital twin, making it available for a wide range of cross-manufacturer and cross-industry applications. It enables the creation, management, and optimization of digital twins.

A key aspect of the DTI is that digital twins are created only upon specific request. This creation, based on pre-made templates and specific mapping rules, prevents redundant data storage and ensures users always have access to the latest information.

The DTI can be operated by customers themselves or offered as a SaaS solution by Neoception GmbH. 

KEY COMPONENTS

• Template Group:

• The foundation of our Digital Twin Infrastructure is the template group, which defines the overall structure of the digital twin.
• Submodels within the template group specify different aspects or properties of the digital twin.

• Submodels:

• Submodels are specialized collections of properties within the template group, defining specific characteristics of the digital twin.
• Standardized submodels, like the digital nameplate and documentation, provide a predefined set of properties.
• Users can also create custom submodels tailored to their unique requirements.

• Template Rules:

• Template rules determine which template or submodel is applied to a specific asset or category of assets.
• Rules can be customized based on various context information, allowing for flexible and dynamic digital twin creation.

• Data Rules:

• Data rules facilitate the mapping of properties between submodels and the actual data from your company systems.
• This critical step ensures that the digital twin reflects real-time information and remains dynamic.

DEFINITION OF DIGITAL TWIN

Digital Twins are created to mimic the behaviors, characteristics, and functionalities of their physical counterparts in real-time or historically. They serve as a bridge between the physical and digital worlds, offering a wide array of applications across various industries. For instance, in manufacturing, a Digital Twin of a machine can simulate its performance, predict maintenance needs, and optimize its operation without affecting the actual machine.

These virtual replicas are not static; they evolve and learn over time, continuously updating themselves with real-time data to reflect changes in the physical entity. The insights derived from Digital Twins empower businesses to make informed decisions, improve efficiency, reduce downtime, and even innovate new products or processes by simulating different scenarios. 

WHY DIGITAL TWIN?

In the always-changing world of business, digital twin technology is a powerful tool that’s changing how companies do things.

It’s reshaping how they work.

By using digital twins, companies can get better at what they do. They can work more efficiently, lower the chances of problems, and become more flexible.

It’s a smart move for companies that want to do well in today’s fast-paced business world, where things are always changing.

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BENEFITS

DIGITAL TWIN AS A SOLUTION

We offer a Digital Twin Infrastructure (DTI) that revolutionizes how businesses connect, manage, and leverage their digital assets. Our DTI solution provides standardized data integration, robust security, powerful insights and much more.

• No additional tools for customers needed to access information
• Enabling automatic use of data by machine accessible interfaces
• Enable customers to retrieve a copy of the data in standardized form (AASX-file)
• Secure, shielded and authored access to information without direct access to internal systems
• Authentication of users (allows to share some information only to paying customers)
• Running business applications on top of the available data
• Connecting to multiple internal systems by using easy to manage rule sets and automated suggestions system. Integrates to GraphDB and PLM with ease.

GET YOUR DIGITAL TWIN INFRASTRUCTURE WHITEPAPER

Learn how to optimize manufacturing and industrial processes with Neoception® Digital Twin Infrastructure.

THE NEOCEPTION® DIGITAL TWIN INFRASTRUCTURE

Dive into the key layers of our solution, each playing a distinct role in enhancing data exchange and digital twin capabilities.

Connection LayerIn the connection layer, we integrate diverse software applications, sales tools, and data sources, creating the foundation for seamless data exchange within a company. This layer also encompasses key data-related systems, and Neoception facilitates connections and data access for the digital twin infrastructure.

01

Standardization Layer The standardization layer in DT plays a crucial role in enabling smooth interactions and data consistency among diverse physical assets and systems. Its primary purpose is to tackle the common problem of dealing with varied data formats, protocols, and structures when integrating different assets and data sources into the DT framework.

02

Modeling LayerThe modeling layer customizes and standardizes data points in the DT, utilizing E-Class and IDTA standards. E-Class provides unique identifiers for clear cross-system communication, while IDTA standardizes templates, like digital nameplates, for product consistency. Neoception integrates these standardization features.

03

Application LayerIn the application layer, Neoception offers various applications that utilize standardized data and models. These include a UI viewer for exploring digital twin models, a file exporter for specific formats, and possibly an API for automation. Neoception provides flexibility, but customers may request tailored applications.

04

GLOSSARY

• Digital Twin (DT):
  A digital replica of a physical asset, process, or system that simulates its behavior, characteristics, and data in real-time or historically. It provides insights, analysis, and testing capabilities.
• API (Application Programming Interface):
  A set of rules and protocols that allows different software applications to communicate and interact with each other, enabling automated data exchange.
• Distributed Data Spaces:
  Collaborative environments or platforms (e.g., Manufacturing-X, Gaia-X, Catena-X) that enable organizations to share and access data across a network of participants.
• GraphDB:
  A database management system that uses graph structures to store and query data, useful for representing complex relationships within the DTI.
• PLM (Product Lifecycle Management):
  Software and systems used to manage the entire lifecycle of a product, from design and development to manufacturing and maintenance.