OSSXRKG

Systems and installations are becoming increasingly complex. In order to optimise operational efficiency, so-called digital twins are increasingly used. These are tools that enable you to perform various simulations in complex environments.

Although a digital twin environment offers many advantages, only a few are currently being realised. This is partly because building such an environment for complex systems is still a very intensive and expensive task. The partners in this project are trying to do something about that.

The goal of this project is a proof-of-concept of an operational digital twin for a complex, custom-designed system, demonstrating that the digital twin can be set up with greatly reduced manpower and lead time.

To achieve this, a smart interface is being developed between a Knowledge Graph (KG) of the system and a 3D authoring tool (XR environment). The use case is the digital backbone of an offshore wind project.

Concrete goals:

• Generalisation and structuring of technical processes in the design and implementation phase of an offshore energy project, and conversion into a library in an XR environment; 
• Semantic model of processes and process steps in the life cycle of a typical engineer-to-order project, and an associated Knowledge Graph based on this model; 
• Architecture and strategy for converting a semantic model into XR templates; 
• Proof-of-concept of an API between KG and XR environment with a natural language interface; 
• Functional knowledge graph platform that can connect to the XR environment; 
• Validation of the strategy using a case study.

The solution must be economically feasible and improve the internal efficiency of technical processes.