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A Global Effort to Digitize Metrology

Sept. 23, 2020
12:00 PM (MT)

Have you heard of the digital quality infrastructure? The Digital SI? Digital calibration certificates (DCCs)? Cubyt? NCSLI's measurement information infrastructure (MII) initiative? These and other globally scattered initiatives will all help upgrade our industry from Metrology 2.5 to Metrology 4.0 by automating our remaining manual systems via networked digital measurement data. Laboratories have long since automated many of their test and measurement processes, but the global quality infrastructure remains mired in paper and PDF documents that a) require subject-matter experts to generate, interpret and use; and b) omit information that would have value if automatically generated, exchanged and put to use.
 
Blair Hall
Blair works at the Measurement Standards Laboratory of New Zealand where he leads a project in data metrology. Until recently, he was responsible for New Zealand’s radio and microwave frequency measurement standards and was particularly interested in problems relating to measurement uncertainty in that field. He pioneered the use of algorithmic uncertainty propagation in support of metrological traceability and was first to apply that method to microwave measurements. He also developed the GUM Tree Calculator (GTC), a Python package for processing data with measurement uncertainty. Blair holds a doctorate in experimental physics from the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland, and has worked at the Swiss national metrology institute (METAS) and Massey University, New Zealand, where he lectured in physics and electronics.


Eichstaedt Sascha
Dr. Sascha Eichstädt is the working group leader of the Physikalisch-Technische Bundesanstalt (PTB) group "Coordination Digitalization" of the presidential staff. He received his Diploma in Mathematics in 2008 at the HU Berlin, and his PhD in Theoretical Physics in 2012 at the TU Berlin. From 2008 to 2017 he joined the group “Mathematical modelling and data analysis” at PTB. His main research areas are signal processing and sensor networks.