Future metrology: are you ready for the digital age?

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Sascha Eichstädt“Coordination Digitalisation”

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“When wireless is perfectly applied, the whole earth will be converted into a huge brain, which in fact it is, all things being particles of a real and rhythmic whole...and the instruments through which we shall be able to do this will be amazingly simple compared with our present telephone. A man will be able to carry one in his vest pocket.” Nikola Tesla, 1926

“I think there's a world market for maybe five computers.”Thomas Watson, CEO IBM, 1943

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Data without correct metadata is useless

Measurement data without units is dangerous

Digitalisation in the SI: from paper to digitalSI brochure, Section 5: Writing unit symbols and names, and expressing the values of quantities

• “Compliance with these rules and style conventions […] supports the readability of scientific and technical papers.”

• upright type regardless of the type used in the surrounding text• printed in lower-case letters unless they are derived from a proper name• avoid ambiguities, for example by using brackets or negative exponents

SI prefix SI unit Exponentoptional optional

multiplication

Digitalisation in the Quality Infrastructure

Digitalisation in the Quality Infrastructure

Products• Complex devices and systems• Embedded computing• “Smart” features

Services• “X as a service”• Cloud platforms • AI-based solutions

Regulations• AI: ethics, confidence and trust• Technological enforcement

Digitalisation in the Quality Infrastructure

• Keeping up with increasing pace of industry and society

• End-to-end collaborative, digital standardisation

• Machine-executable digital standards

• Integration into (automated) digital processes

• Keeping up with increasing pace of industry and society

• Digital services and accreditation for novel concepts (e.g. lot size 1)

• Machine-executable digital certificates

Digitalisation in measurement

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Digitalisation in measurement

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Digital sensors and smart traceability

Reliable smartsensor networks

Confidence in smart data analysis methods

Dynamic, digital-only output and low-cost MEMS sensors

Synchronisation, co-calibration and sensor fusion

Measurement uncertainty in machine learning and AI

Guiding principles

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Ensuring the uniformity of measurements in a digitised world and confidence in data and algorithms.

• Machine-interpretable information throughout the data lifecycle

• Machine-executable digital certificates

• Metrology for Internet of Things (IoT) - also in legal metrology

• Numerical simulations as virtual measurements

Guiding principles

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• Research data management in line with the FAIR principles

• Software quality framework and open-source development

• Reference data sets for method assessment and data curation

• Consistent use of metadata and vocabulary

Metrology as anchor of trust in Open Science and data-driven research.

Guiding principlesHolistic approach for the treatment of measuring instruments and measurement data

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• Consistent concepts from legal to industrial metrology

• "Metrology by design" for confidence measured values

• Consideration of the entire life cycle of a measuring instrument

• Concepts that scale with the number of measuring instruments

Concrete examples from PTB digitalisation projects

End-to-end digital services

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incoming orders

including all documents

Generation of metadata

Order processing

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Digital document management

Digital certificatesDigital signature

Cloud solutions

E-Service

E-Service

E-ServiceE-Service E-Service E-Service E-ServiceE-Service

E-ServiceE-Service E-Service E-Service E-ServiceE-Service

E-Service

E-Service

Metrology for the factory of the future

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Digital sensors and smart traceability

Reliable smartsensor networks

Confidence in smart data analysis methods

Dynamic, digital-only output and low-cost MEMS sensors

Synchronisation, co-calibration and sensor fusion

Measurement uncertainty in machine learning and AI

Are you ready for the digital age?

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• End-to-end digital processes

• Machine-executable certificates and standards

• Cloud infrastructures in industrial and legal metrology

• Virtual measurements and simulations (metrological digital twin)

• Digital sensors in large heterogeneous networks

• Machine learning and artificial intelligence

Part of this work has been developed within the Joint Research projects 17IND02 SmartCom and 17IND12 Met4FoF of the European Metrology Programme for Innovation and Research (EMPIR). The EMPIR is jointly funded by the EMPIR participating countries within EURAMET and the European Union.