Grade2XL | Application of Functionally Graded Materials to Extra-Large Structures
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Some of the functional modules of COROMA taks care off the interaction with humans:
Several functional modules of COROMA system allows it to interact with the production envionment in an enhanced way:
In some of the use case applications, the interaction with the workpiece:
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The platform provides a HMI/Dashboard/Screen permitting the user to configure his PSS. The goal is the validation of the concept (RIA) more than the fine tuning of screens
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Optimization algorithms can calculate better plant configurations. Thesting these new configurations in a real plant can be very cost intensive as production may be compromised during configuration and testing. A virtual environment which is able to simulate new parameters and verify them is a big deal as the running production is not compromised during testing and evaluation of new parameters.
The main focus of IMPROVE are learned models. Manual modeling of system models is not suitable for the complex, fast chaning industrial plants we have today. Lots of expert knowlege is needed to manually create a model. Learned models can be created using only data and little to no expert knowledge is required depending on the technology.
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From a technological point of view, Open vf-OS Platform will provide elements covering the connected world, allowing the exchange and collaboration of information between companies on a value stream thanks to the cloud approach to be adopted (vf-Platform). The Open vf-OS covers from the control device level, where information from the systems (IoT, CPS, embedded systems) is gathered, processed and empowered.
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FIWARE http://www.eclipse.org/app4mc
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The system blueprint is the FAR-EDGE RA. After having defined the requirements and the constraints for each block of the RA, a thorough analysis of the SotA has been done, which led to the identification of some existing software components meeting the specs. We then identified the gaps that the project will need to fill-in: not surprisingly, these where all the key enabling technologies, like the distributed ledger. However, hardly anything is going to be built totally from scratch in FAR-EDGE. The distributed ledger, for example, will be a customization of a generic, open source Blockchain platform (Hyperledger Fabric).
We are considering some core GEs from FIWARE as candidate building blocks of our Edge Computing architecture. In particular, the Publish/Subscribe GE (Orion Context Broker implementation) is a good candidate as the northbound interface exposed by Edge Gateways – i.e., computing nodes aggregating a number of local edge nodes (field devices, smart factory equipment) and running local automation and/or analytics processes. We are considering to significantly extend the Publish/Subscribe GE by adding distributed computing capabilities: a data context that is replicated and kept in-sync across a number of GE instances (running anywhere on the network), using a Blockchain and smart contracts as the backing technology. FAR-EDGE will contribute its results, as open source software, to the FIWARE for Industry community.
In the scope of FAR-EDGE, the value of FIWARE is in the OMA NGSI standard: a RESTful Web API implementing the publish/subscribe pattern on context information – i.e., a set of attributes representing the current state of some device or process. NGSI is the common language that FIWARE applications use to integrate themselves with the IoT world. For this reason, supporting NGSI in FAR-EDGE means opening up the Platform to the FIWARE community. The FIWARE asset that is crucial for the support of NGSI is Orion Context Broker (OCB), which as for all FIWARE Generic Enablers is open source software. In FAR-EDGE, we envision the use of OCB to implement the generic publish/subscribe interface of the Distributed Data Analytics subsystem
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