We have now finished the work in the EU-funded SAFIRE project. The goal of the project was to investigate and develop technologies and infrastructure that enable Reconfiguration-as-a-Service for dynamic smart factory systems and manufactured smart products. York's role in the project was to design an optimisation engine based on Evolutionary Algorithms that can tackle large reconfiguration spaces by using a scalable cloud-based deployment.
York's optimisation engine was integrated to the situation determination and predictive analytics modules created by project partners ATB and IKERLAN, respectively, using a secure infrastructure provided by The Open Group. That way, every time a new situation in the factory is detected (for instance, if a mixer breaks or if the cost of wires has increased significantly), the optimisation engine is informed about it and it can evolve a new configuration that takes the new situation into account.
That approach was applied to three different case studies proposed by the industrial partners of the project: ONA (metal cutting machines), OAS (paint-making factory) and Electrolux (smart industrial kitchen). The results were disseminated by many publications, talks and keynotes, as well as newsletters and press releases.
I mention the SAFIRE project in this blog to show that embedded computing is dealing with much larger systems these days - embedded into a factory! - in a trend which is often referred as Cyber-Physical Systems.
More information and details in the SAFIRE website, which also includes links to all public reports and deliverables, as well as open source distributions of the code developed within the project.
SAFIRE was funded by the European Commission within its Horizon 2020 framework programme under reference 723634.
York's optimisation engine was integrated to the situation determination and predictive analytics modules created by project partners ATB and IKERLAN, respectively, using a secure infrastructure provided by The Open Group. That way, every time a new situation in the factory is detected (for instance, if a mixer breaks or if the cost of wires has increased significantly), the optimisation engine is informed about it and it can evolve a new configuration that takes the new situation into account.
That approach was applied to three different case studies proposed by the industrial partners of the project: ONA (metal cutting machines), OAS (paint-making factory) and Electrolux (smart industrial kitchen). The results were disseminated by many publications, talks and keynotes, as well as newsletters and press releases.
I mention the SAFIRE project in this blog to show that embedded computing is dealing with much larger systems these days - embedded into a factory! - in a trend which is often referred as Cyber-Physical Systems.
More information and details in the SAFIRE website, which also includes links to all public reports and deliverables, as well as open source distributions of the code developed within the project.
SAFIRE was funded by the European Commission within its Horizon 2020 framework programme under reference 723634.
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