The “Factory of the Future” (FoF) as an inter-connected production environment with an autonomous flow of information and decision-making constitutes the digital transformation of manufacturing to improve efficiency and competitiveness. Transparency, comparability and sustainable quality all require reliable measured data, processing methods and results. This project aims to establish a metrological framework for the complete lifecycle of measured data in industrial applications: from calibration capabilities for individual sensors with digital pre-processed output to uncertainty quantification associated with machine learning (ML) in industrial sensor networks. Implementation in realistic testbeds will demonstrate the practical applicability and provide templates for future up-take by industry.
Significant innovations, use case requirements and lessons learned - (No information available)
Added value and impact - (No information available)
Technologies and enablers - (No information available)
Digitalisation pathways - (No information available)
ICT performance characteristics - (No information available)
Standards, standardisation and regulation - (No information available)
Business model aspects - (No information available)