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

Edge Digital Twins

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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.

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:

January 1, 2014

WP1. Project Management (WP leader: CIM)

Administrative and technical coordination (including innovation). 

January 1, 2014

January 1, 2015

WP2. Market Analysis & Business Plan (WP leader: EFF)

To analyse potential applications of the EdgeTwins builder, product requirements and market size, and outline a business plan for its commercial exploitation.

January 1, 2015

January 1, 2016

WP3. EdgeTwins Tool Simulations and Training (WP leader: BSC)

To define the application problem and set up and optimize the high-performance computing infrastructure. 

January 1, 2016

January 1, 2017

WP4. Application Downscaling and Demonstration. (WP leader: CIM)

To refine the simulation and training capabilities available within the open source Kratos, and to define a workflow for the construction of reduced order models, suitable for edge or local computations. The workflow will be applied to a testcase/s using a constrained compute device (Raspberry Pi 4 or similar), to showcase the product possibilities.

January 1, 2017

January 1, 2018

WP5. Dissemination and Communications. (WP leader: CIM)

To manage the communication  of the project activities during its execution and the dissemination of the project results focused on four groups of stakeholders: Institutional, Industry, Developers community, Academia. 

January 1, 2018

Building from ExaQUte.

Integration of solver into a workflow management system:

This provides capability to leverage HPC systems in the training of ROM models. (thus enabling the construction of realistic ROM models in a short time).

Proof of concept: deployment of simple tests on Raspberry Pi (Outspin of a Project with Siemens Research)

The consortium

This project is carried out by a consortium of 3 organisations, two research and technology centres and an SME. The first two are respectively coordinator and participant of the ExaQUte FET Proactive project.

International Centre for Numerical Methods in Engineering
Research organization whose aim is the development of numerical methods and computational techniques for advancing knowledge and technology in engineering and applied sciences. Founded in 1987, employs over 250 cientistes and engineers.
Barcelona Supercomputing Center
A public research infrastructure located in Barcelona. It hosts MareNostrum-4, a 13.7 Petaflops supercomputer, which also includes clusters of emerging technologies. The BSC has recently been selected by the EC to host a pre-exascale computer of 200 Petaflops in 2021 to be named MareNostrum-5.
Effectia Innovation Solutions
Strategy and operations consulting boutique. Offers since 2001 services to institutional customers that operate within innovation ecosystems: regional governments, universities, research centres, hospitals and tech transfer organisations.