Projects overview

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LINKEDDESIGN | Linked Knowledge in Manufacturing, Engineering and Design for Next-Generation Production

01-09-2011

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31-08-2015

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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data storage
ICT solutions for next generation data storage and information mining
Comment: The project created a data integration layer in order to integrate the different data storages, from structured data sources and unstructured files and web sources. Security and trust will be handled by the network layers below the data protocols. Furthermore, data are collected from the fields thanks to PLM Data service, returning valuable knowledge to the stakeholders. "Metrology-driven Manufacturing in the Automobile Industry" as developed in LD is the data storrage and data mining to deduce case and effect realtion in order to optimze the processes.

FALCON | Feedback mechanisms Across the Lifecycle for Customer-driven Optimization of iNnovative product-service design

01-01-2015

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01-01-2018

: 4
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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data acquisition
Comment:

FALCON aims to gather Product Usage Information from Product Embedded Information Devices as well as customer feedback through the internet and social media. These information will be re-used directly to improve product-services. These product-service optimizations are carried out in a multidisciplinary way by stakeholders from different domains. FALCON further supports the process of product-service optimization by providing a collaboration platform.

ICP4Life | An Integrated Collaborative Platform for Managing the Product-Service Engineering Lifecycle

01-01-2015

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01-01-2019

: 6
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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data processing
Comment: Data processing in the services is automatic with different algorythms. Data processing in the platform is manual and done by the user. Decisión is, in most cases, manual.
Data acquisition
Comment: Several acquisition technologies depending on the service: From sensors, from PLC, CNC, vibration sensors, counters, artificial visión cameras....
Data analytics
Comment: Services related with predictive maintenance or vibration analysis
Data storage
Comment: There is one DATA STORAGE (SQL, NoSQL, Mongo....) for the services and one KNOWLEDGE repository (semantic ontology) for the PLATFORM

TWIN-CONTROL | Twin-model based virtual manufacturing for machine tool-process simulation and control

10-01-2015

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30-09-2018

: 4
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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Results:
Local Monitoring and Control System
Local Monitoring and Control System
Fleet Management Platform for Machine Tools
Fleet Management Platform for Machine Tools
Data processing
Results:
Local Monitoring and Control System
Local Monitoring and Control System
Fleet Management Platform for Machine Tools
Fleet Management Platform for Machine Tools
Cloud computing, edge computing
Results:
Machine Tool Digital Twin with Life Cycle features
Machine Tool Digital Twin with Life Cycle features
Local Monitoring and Control System
Local Monitoring and Control System
Fleet Management Platform for Machine Tools
Fleet Management Platform for Machine Tools
Data acquisition
Results:
Local Monitoring and Control System
Local Monitoring and Control System
Fleet Management Platform for Machine Tools
Fleet Management Platform for Machine Tools
Data analytics
Results:
Local Monitoring and Control System
Local Monitoring and Control System
Fleet Management Platform for Machine Tools
Fleet Management Platform for Machine Tools
Data modelling
Results:
Local Monitoring and Control System
Local Monitoring and Control System
Data storage
Results:
Local Monitoring and Control System
Local Monitoring and Control System
Fleet Management Platform for Machine Tools
Fleet Management Platform for Machine Tools
Cognitive and artificial intelligence (AI) technologies - machine learning
Results:
Local Monitoring and Control System
Local Monitoring and Control System
Fleet Management Platform for Machine Tools
Fleet Management Platform for Machine Tools

COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation

01-09-2016

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31-08-2019

: 24
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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Comment: Big data analytics in cloud environments to support manufacturing scenarios.
Data processing
Comment: The platform will apply smart data processing methods for investigating the dataset in order to find logical links. It will also investigate novel complex event processing approaches.
Data acquisition
Comment: Data acquisition tools to instantiate virtual manufacturing processes.
Data analytics
Comment: Use of data analytics to provide automated knowledge extraction from big data generated in manufacturing in order to reduce factory and field failures and detect and remedy anomalies earlier.
Prescriptive analytics
Results:
Integrated Business Model Decision System
Integrated Business Model Decision System
Data modelling
Comment:

The COMPOSITION project contains a Digital Factory Model Component which offers representation of factory processes and resources in a common format based on well-known standards.

Cognitive and artificial intelligence (AI) technologies - machine learning
Comment: Machine learning techniques, such as particle filters or hidden Markov models, or continuous/recurrent deep neural network, are going to be employed for analysing big datasets.
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