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Enabling metadata enrichment of 3D measurement data by database-centered storage and exchange through the QIF data format

Procedia CIRP, vol. 138, pp. 1151–1156

Abstract

In modern production environments, robust life cycle management relies on quality assurance-generated product data. Ensuring the long-term traceability of this data is essential for maintaining its integrity. However, prevalent 3D measurement data formats lack metadata support. Storing related metadata in databases is a common solution, offering structured storage but posing challenges for data exchange. The Quality Information Framework (QIF) standard presents a data format for enriched measurement data, but its implementation in metrology software is currently limited. This study investigates defining a database structure for metadata-enriched 3D measurement data, which allows the extraction into the QIF format.

Authors 4

  1. RWTH Aachen University

    Affiliation as printed

    Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  2. RWTH Aachen University

    Affiliation as printed

    Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  3. RWTH Aachen University

    Affiliation as printed

    Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

  4. RWTH Aachen University · Fraunhofer Institute for Production Technology IPT

    Affiliation as printed

    Fraunhofer Institute for Production Technology IPT, Steinbachstr. 17, 52074 Aachen, Germany

    Intelligence in Quality Sensing, Laboratory for Machine Tools and Production Engineering, WZL, RWTH Aachen University, Campus-Boulevard 30, 52074 Aachen, Germany

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