Knowledge Graph Based Digital Twin Framework
Name
SINDIT - SINTEF Digital Twin
Defined in Task
Task 2.2 - COGNIMAN Toolbox and Architectural Framework
Description
SINDIT covers aspects related to Digital Twin data representation (graph-based data structures for assets data and processes), data storage (assets and time-series data), and support for discrete/continuous simulation (e.g., estimation of production capacity).
The purpose of the framework is to provide the mechanisms to represent and store data in a way that can capture assets and time-series data, while at the same time can offer efficient access to the data and ability to use the stored data for various types of simulations (discrete/flow).
The framework is meant to help factories IT personnel in the process of representing assets and processes within factories and storing data about them, and combining the information with real-time sensor data, to facilitate analytics tasks such as simulations.
Figure 1 provides illustration of the four-layer software architecture of SINDIT along with various technologies deployed in the stack. The data layer contains all persistent storage back-ends – both those managed by SINDIT as well as those managed by third parties. The business layer contains (i) descriptions of machines and processes, (ii) services for event detection and capacity estimation, and (iii) ingestion of and federated access to relevant data sources. The application layer exposes the relevant outputs of the business logic. These can be consumed either by SINDIT’s own presentation layer or by authorized third parties. The physical assets comprise the physical layer which is not discussed here.
Figure 1: SINDIT Software Architecture [1]
License
SINDIT is provided as an open-source software availalbe at SINDIT GitHub Repository under MIT License.
TRL
TRL4 – a protype based on a Python stack is implemented at this stage and validated in lab setting.
Pilot
To be used in Pilot 1 and 4.
References
[1] Waszak, Maryna, An Ngoc Lam, Volker Hoffmann, Brian Elvesæter, Maria Flavia Mogos, and Dumitru Roman. “Let the asset decide: digital twins with knowledge graphs.” In 2022 IEEE 19th International Conference on Software Architecture Companion (ICSA-C), pp. 35-39. IEEE, 2022.
