Manufacturing Digital Twin Framework
The knowlEdge Digital Twin Framework is a structured sets of guidelines, tools, and technologies that
facilitate the development, deployment, and management of digital twins to revolutionize manufacturing processes by creating digital replicas of physical assets. knowlEdge Digital Twin Framework providing a robust solution that follows the reference of ISO 23247-1:2021 and ISO/IEC 30173:2023. The implementation is an open-source reference
architecture composed of a set of microservices deployable in a range of architectures that help manufacturing companies to process optimisation and decision-making.
License
Other
EUROPEAN UNION PUBLIC LICENCE
Main Characteristic
In a brief, the main Digital Twin Framework support the following functionality:
- Real-time acquisition of data from IoT devices and other shopfloor systems
- Keep synchronisation of physical-digital twin counterparts
- Enrich real-time data with context information in a manufacturing domain
- Generate synthetic data from historical information or from simulated assets or processes
- Store DT models and Data on efficient way
- Execute AI algorithms that can simulate the behaviour of a a digital twin
- Connect the digital twings with AI algorithms capable to simulate its behaviour
- Provide DT simulators capable to emulate physical behaviour of processes, assets and products
- Provide Rule based mechanisms based on domain knowledge to react to certain events
- Provide a library of visualisation techniques to represent the digital twin model
- Support the 3D representation of physical assets
- Provide Dashboarding mechanisms to monitor real-time data
Technical Categories
AI services
Business Categories
Manufacturing
Last updated
05.04.2024 - 13:54