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Pilot - SIEMENS SIMATIC Products Quality Improvements

Project: QU4LITY

Updated at: 01-02-2024

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

Through innovative algorithms and statistical methods, possible data sources for predictive quality control can be identified and evaluated. Moreover, by cooperation of all project partners, the realization of data access and acquisition along the whole process chain can be realized. With a focus on algorithms and methodology, a use case-specific algorithm is going to be implemented and validated to maintain high prediction accuracy.

Data availability is a challenge: Limited access to measurement data (due to limited access to third-party systems)

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

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 acquisition
Comment: Field level: Controller/Actuator (HW), TestExecutor (SW) Factory level: FIWARE IDAS Gateway for CPPS

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;

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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