Digital Twin

Digital twin refers to a digital replica of potential and actual physical assets, containing processes and products that can be used for various purposes. With the Digital Twin is possible to represent and model processes and products features (ie physical characteristics, bill of materials, tolerances, etc). Moreover, it provides data objects describing various aspects of the physical and logical parts of a manufacturing process. Additionally, it also includes the status of the different (potentially distributed) components of the manufacturing system and product features. A digital twin allows to simulate the future state of the manufacturing process or product production using AI algorithms to perform a dynamic virtual representation.


  • Allows a digital representation of a process or product (a digital twin model). This digital representation can be used to represent something physical in detail and apply the information in practical ways

  • The elements included in the digital twin model are organized in a hierarchical way so that the user can navigate through the different nodes that make up the model and have all the information required quickly

  • The user creates and modifies a digital twin model in a straightforward way

  • The simulation and prediction tools allow the user to link AI Analytics Run-time (which integrates Prediction and Optimisation Run-time) algorithms and incorporate these results into the digital twin model

Play Video

Plant Digital Twin Creation and Management

The component allows users to create and manage digital twin models for plants, which include assets, products, and processes. The models capture both static attributes (characteristics) and dynamic attributes (real-time signals) to provide a comprehensive representation of the plant.

Hierarchical Node Structure Navigation

It offers a hierarchical node structure navigation feature, enabling users to easily navigate and contextualize different elements within the plant. This hierarchical structure enhances the organization and understanding of the plant’s assets, products, and processes.

Image and File Storage

The component provides the capability to store images and PDF files as part of the static attributes in the digital twin models. This allows users to associate visual and document resources with specific elements within the plant, enhancing the information available for analysis and reference.

Integration with PI System and Eclipse Ditto

The component supports integration with both the PI System and Eclipse Ditto frameworks. Users can choose to create and manage digital twin models based on the licensed PI System framework or opt for models based on the open-source Eclipse Ditto framework. This flexibility allows for compatibility with different systems and enables users to leverage the advantages of their preferred framework.

Additional resources

Learn more about i4FS by visting the project website for general information, the wiki for information about the core components, the Technical Manual for API documentation, and downloading the repository’s source code.

Training Academy

Get a better understanding of the global architecture and information flow.

Source code

Our source code is opensource and available on our Gitlab repository.

Software Documentation

Read our easy to follow documentation to learn how to use the i4 Components.