Metrology for the Factory of the Future

Short Name: Met4FoF, Project Number: 17IND12

Building calibration capabilities for advanced, digital-only industrial sensors

Image showing robots assembling products in automatic factory

Factories of the future will use Industrial Internet of Things (IIOT) environments; networks of devices and machine-learning algorithms that can automate decision-making and manage production. Advanced digital-only sensors that can measure dynamic, time-dependent qualities such as acceleration, force, and pressure, and pre-process collected data are quickly becoming the de-facto standard in the IIOT. It is vital for manufacturing processes that such digital sensors measuring dynamic qualities are accurate and well-calibrated. However, the high-level calibration services currently offered by National Measurement Institutes (NMIs) are still focussed on analogue, rather than digital, outputs.

 

This project has developed calibration methods for advanced digital-only industrial sensors, including those with internal pre-processing capabilities. It has also established the infrastructure and software needed to take account of measurement uncertainty and quality together with measurement data, and synchronise data flow in sensor networks. This will help NMI facilities to become digital ready, and enable European factories of the future to be competitive with their global counterparts.

 

Participating EURAMET NMIs and DIs

CEM (Spain)

IMBiH (Bosnia and Herzegovina)

INRIM (Italy)

IPQ (Portugal)

LNE (France)

NPL (United Kingdom)

PTB (Germany)

UME (Türkiye)

VSL (Netherlands)

Other Participants

Industrial Technology Research Institute Incorporated (Taiwan, Province of China)
SPEA S.P.A (Italy)
Technische Universitaet Ilmenau (Germany)
The Chancellor, Masters and Scholars of the University of Cambridge (United Kingdom)
University of Strathclyde (United Kingdom)
Zentrum für Mechatronik und Automatisierungstechnik gemeinnützige GmbH (Germany)

Information

Programme
EMPIR
Field
Industry
Status
completed
Call
2017
Duration
2018-2021
Researcher Grants
2
Project website