Optimized Reproduction, Collection, Transmission, Processing, and Display of Measurement Data Obtained Using the National Standard of Voltage Unit – Volt

Issues associated with automating the calibration of standard DC voltage measuring instruments are considered. An automatic calibration system is developed, studied, and implemented. This system comprises a hardware and software system containing measuring instruments from the National Standard of V...

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Vydáno v:Measurement techniques Ročník 64; číslo 7; s. 556 - 561
Hlavní autoři: Popko, V. V., Sentemova, D. V., Yarmalovich, M. A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.10.2021
Springer
Témata:
Analytical Chemistry
Characterization and Evaluation of Materials
Measurement Science and Instrumentation
Physical Chemistry
Physical instruments
Physics
Physics and Astronomy
automatic calibration system
Python scripts (programs)
optimization
integral nonlinearity
Raspberry Pi single-board computer
ISSN:0543-1972, 1573-8906
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Shrnutí:Issues associated with automating the calibration of standard DC voltage measuring instruments are considered. An automatic calibration system is developed, studied, and implemented. This system comprises a hardware and software system containing measuring instruments from the National Standard of Voltage Unit – Volt and additional modules. The automatic system is created on the basis of the Python programming language using metrological principles. The studied calibration results of DC voltage standards, i.e., the obtained calibration results (assigned actual value with expanded uncertainty) are analyzed in automatic and manual modes, as well as using the 10 V Josephson voltage standard known as supraVOLTcontrol. As well as significantly reducing labor costs, the application of this automatic system to study the integral instability (nonlinearity) of a digital voltmeter allows measurement duration to be reduced, as well as providing flexibility and reconfiguration capability depending on issues that emerge during research.
ISSN:0543-1972
1573-8906
DOI:10.1007/s11018-021-01978-2