Edge Twins HPC
A FET Innovation Launchpad project to develop an open-source software tool to produce Digital Twins that run on the Edge.
About Edge Twins
EdgeTwins are digital twins that run on the edge, that is, on the physical asset they represent.
A new industry.
Along with the Internet of Things (IoT) and Edge computing, Digital Twins are expected to play a decisive role in the next decade’s industrial markets (Industry 4.0) enabling dramatic improvements in complex systems design and operation.
Novel real-time applications.
Digital twins are installed on the physical asset they represent, and operate in very constrained compute environments. This approach will enable a new breed of novel real-time applications, from autonomous vehicles to small devices.
Complex 4D simulations.
The participants will leverage on the high-performance computing software stemming of the ExaQUte FET HPC project. These assets will allow, using Reduced Order Modelling techniques, to model complex 4D simulations to later extract the essential features of the solution so that similar results can be obtained at a vastly reduced computational cost.
Cloud Digital Twins vs Edge Twins
Cloud Digital Twins
- High compute capabilities
- Needs communication
- Cannot be vital
- Prone to cyberattacks
Edge Digital Twins
- Low compute capabilities
- No communication needed
- Can take autonomous decisions
- Cyber safe
Frequently Asked Questions
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The project
Main Goals
The main objective of this FET Innovation Launchpad project is to evaluate the business feasibility of an open-source digital twin builder software for edge applications and develop and test a demonstrator (alpha) for one or more use cases identified in the market analysis.
- To identify and qualify the potential applications of Digital Twins on the edge, to select a use case/s.
- Competitive landscape. To analyze competitive solutions for such applications.
- Product and Business Model. To define initial product requirements, and business strategy (including potential partners).
The basis of the current project is the capability of accurately modelling highly complex problems using massive computing power (HPC) to extract the essential features of the solution so that similar results can be obtained (within a training range) at very constrained compute environment.
Work Packages
In order to achieve the stated objectives, the project will roughly follow the process outlined in the diagram below, starting with the market analysis, to unveil the requirements for the technical development and demonstration of the reduced order model application in one or more selected use case/s.
Following this methodology the project will be carried-out in 5 Work Packages with a total duration of 18 months: