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Rhône-Alpes Champion: The Smart Mold

Project: BEinCPPS

Updated at: 29-09-2022

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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data acquisition
Comment: The data acquisition is performed by the monitoring core, performed in C. The BBB + Mikrobus + Thermoclicks provide access to the data gathered by the sensors. Sensors: -Temperature: MIKROELEKTRONIKA Thermocouple Type-K Glass Braid Insulated -Pressure: KISTLER 6190C
Data analytics
Comment: Historical analysis of the production process data, through data analysis, will enable to establish trends of the mold usage.
Data modelling
Comment: Usage of the UA-Modeler tool to model the OPC-UA address space, containing the variables describing the acquired data.
Human Machine Interfaces
Comment: Data visualization based on FIWARE Wirecloud widgets
Programming Frameworks – Software Development Kits (SDKs)
FIWARE
Smart Industry Context Information Management and Persistence
The Orion Context Broker Generic Enabler
Operating systems
Comment: The device platform supports a Linux distribution.
Data spaces
Programming Languages
Comment: The monitoring core has been developed in C. The OPC-UA layer has been developed in Node.js

Lombardy Champion - Zero-Hours Quality

Project: BEinCPPS

Updated at: 29-09-2022

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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Comment: Cloud level: I2Lab
Data processing
Comment: Cloud level: Test Back-end
Data acquisition
Comment: Field level: Controller/Actuator (HW), TestExecutor (SW) Factory level: FIWARE IDAS Gateway for CPPS
Data analytics
Comment: The Field/Factory levels feed normalized streams of raw data to the Cloud level for further processing.
Data modelling
Comment: (offline): MSEE BIM Toolbox, UAModeler
Data storage
Comment: Cloud level: FIWARE Context Broker + Cygnus extension
Cognitive and artificial intelligence (AI) technologies - machine learning
Comment: Cloud level: I2Lab
Human Machine Interfaces
Comment: Factory level: Rule Editor (Android app), Test Front-End (Android app)
Programming Frameworks – Software Development Kits (SDKs)
FIWARE
Smart Industry Context Information Management and Persistence
The Cygnus Generic Enabler
Comment:

Cloud level: Cygnus extension

The Orion Context Broker Generic Enabler
Comment:

Cloud level

Pilot - Batteries

Project: DigiPrime

Updated at: 03-02-2022

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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data acquisition
Comment:

Operational services aim to collect product data on post-use Li-Ion batteries about their use phase in order to enable monitoring and full traceability of its life-cycle;

Data analytics
Comment:

Operational services aim to:

  • elaborate and analyse various data collected about post-use batteries to predict the conditions of the battery packs, modules and cells;
  • define a Decision Support System to identify the best disassembly and remanufacturing strategy, given the post-use Li-Ion battery conditions.
Data spaces
Digital manufacturing platforms - data platforms
Comment:

As the proactive exploitation of the DigiPrime platform enables the car-monitored SOH tracing and availability, less testing is needed to assess the residual capacity of the battery. Moreover, by knowing the structure of the battery packs, a decision support system can be implemented to adjust the de-and remanufacturing strategy accordingly and select the most proper cells for re-assembly second-life modules, thus unlocking a systematic circular value chain for Li-ion battery cells re-use. Furthermore, excessively degraded cells which cannot be re-used can be sent to high-value recycling, based on the knowledge of their material compositions.

Integrated Artificial Intelligence

Project: FA3D2 FLEXCELLE

Updated at: 25-05-2021

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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Human Machine Interfaces
Data visualisation
Comment:

Grafana – Used for the creation of bespoke data visualisation solutions.

Programming Languages
Comment:

Python / Tensorflow / Pytorch – Used for the creation of bespoke machine learning algorithms and analysis processes.

 

Metrology-integrated Robotics

Project: FA3D VIEWS

Updated at: 25-05-2021

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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data acquisition
Comment:

RFID Positioning System – Use of multiple RFID receivers within the cell would allow for 3D location tracking of the parts to be assembled in the system, ensuring parts are correctly present and in the right locations before proceeding.

 

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