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QU4LITY | Digital Reality in Zero Defect Manufacturing

01-01-2019

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31-07-2022

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Technologies and enablers
Information and communication technologies
Result items:
D2.11 Reference Architecture and Blueprints (Version 1)
D2.11 Reference Architecture and Blueprints (Version 1)
Data spaces
Result items:
Pilot - GF Digital machine and part twins for zero defect manufacturing
Pilot - GF Digital machine and part twins for zero defect manufacturing
Pilot - WHR Dryer Factory Holistic Quality Platform
Pilot - WHR Dryer Factory Holistic Quality Platform
Video recording - Data Spaces for Additive Manufacturing Machinery in QU4LITY project
Video recording - Data Spaces for Additive Manufacturing Machinery in QU4LITY project
Standards for data spaces
ISO/IEC 20546:2019 - Information technology - Big data - Overview and vocabulary
Comment: Associated to QU4LITY Reference Architecture: Digital models and Vocabularies

Details: Big data vocabulary

COALA | COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence

01-10-2020

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30-09-2023

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Technologies and enablers
Information and communication technologies
Data spaces
Standards for data spaces
ISO/IEC 20547-3:2020   - Information technology - Big data reference architecture - Part 3: Reference architecture
Comment:

COALA will contribute in the ongoing discussion about AI ethics and potential standards, monitor the standardization potential for worker education under consideration of AI competencies, and will use and contribute to IT standards. We will take into account available IT-related standards and use them when applicable. This includes normative standards as set by ISO and its national bodies, which are of high importance to industrial companies. We will assess standards proposed by major influential de-facto standardization bodies like W3C, OASIS, and OMG. Standardization topics concern:

  • The technical system architecture level. Standardize communication protocols, data exchange formats, data exchange interfaces.
  • The content level. Ontologies for the semantic data integration and the WHY engine.
  • The process level. This includes innovation management system, terminology, terms and definitions, and tools and methods.
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