The European Centre for
Mathematics and Statistics in Metrology

Concept paper "Metrology for the factory of the future"

In preparation for the 2017 EMPIR "Call for Industry", MATHMET Dynamic formulates a concept for a proposed research topic and is looking for potential partners.

Authors: Sascha Eichstädt, Trevor Esward and Nicolas Fischer

Modern industrial production and assembly lines increasingly rely on aggregated measurement information from sensor networks, automated system control and decision-making. This requires reliable information about the manufacturing processes, which is to be derived from measurement data. Data analysis and machine learning tools for large data sets, sometimes also called “big data analysis” are often applied to the sensor network data with the aim of compensating for potential measurement deficiencies of the individual sensors. Such intensive utilization of interconnected measurement devices is often identified as “Industry 4.0” or the “Factory of the Future”.

Metrology for such networks, and for the factory of the future in general, is usually not considered in the strict sense of National Metrology Institutes (NMIs). However, there are indeed many challenges for sensor networks in industrial praxis that require bringing together NMI expertise and industrial partners:
  • Poor precision of the underlying time axis;
  • Low accuracy owing to quantization;
  • Lack of traceability due to internal digitization;
  • Systematic effects in dynamic real-world environments;
  • Limited or non-existent provision of measurement uncertainty information;
  • Data loss and data corruption owing to communication issues.

The 2017 "Call for Industry" of the European Metrology Programme for Innovation and Research (EMPIR) offers a unique opportunity to apply for EU funding for such a joint collaboration. Therefore, the NMIs PTB (Germany), NPL (United Kingdom) and LNE (France) are reaching out to European partners from research, academia and industry to join into the formulation of a corresponding proposed research topic.

A more detailed description of the proposed work can be downloaded as a PDF document.

For more information and to signal your interest in this topic, use the MATHMET Contact form.
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