Mark Kuster
Recent work has proposed a metrologyinformation layer (M-Layer) to support digital systems with quantities and units by addressing the difficulties conventional quantity-unit systems pose for digitalization. This paper reports work toward developing the M-Layer’s current abstract conceptualization into a concrete model, working prototype, and demonstration software, with the eventual goal to create a FAIR (findable, accessible, interoperable, reusable) resource.
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.018
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Anupam Prasad Vedurmudi, Katharina Janzen, Sascha Eichstädt
Information leveraged from multiple sensors is generally more versatile than that from a single sensor. For instance, the value of a physical quantity at an unsampled location can be estimated by interpolating measurements from spatially separated sensors. In this contribution, kriging is used to spatially interpolate room temperatures from a limited number of sensors with different measurement uncertainties and a propagation of the sensor uncertainties to the interpolated values using a Monte Carlo simulation is demonstrated. A potential application of kriging to assess the quality of...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.017
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Samuel Eickelberg, Thomas Bock, Matthias Bernien, Alexander Oppermann
This paper is a case study describing the integration of a digitally transformed calibration workflow into a metrological service ecosystem. The integration on both sides is described in detail at workflow level. Transparency of workflows is a major goal and is supported by introducing status updates. Furthermore, providing a fast and easy information interchange is paramount, and is achieved by focusing on Open Source, standardized and secure communications, like REST interfaces. This case study serves as a blueprint for future-proof IT integration tasks and can be put into a general...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.016
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Hugo Gasca Aragon
The Metrology Cloud has been described and implemented at some degree for several National Institutes of Metrology (NMI) or Designated Bodies, typically with emphasis in the Legal Metrology aspects, however, there is a lack of coverage for Scientific Metrology aspects. The paper first describes the situation at a specific NMI, then details the used procedure to find a solution and briefly provides examples for time conditioned properties, time dependent behavior, and virtual measuring instrument’s simulated response, finally the results are revised, and future work is listed besides...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.015
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Blair D. Hall, Ryan M. White
When metrological traceability is considered in the context of modern digital systems, a model of the staged collaborative nature of traceable measurements emerges. The key elements of this model are instances of external factors that influence the measurement, and intermediate measurement stage results. Digital implementation of the uncertainty calculation method described in the Guide to the expression of uncertainty in measurement (GUM) requires unique identification of individual influence factors and intermediate results. Systems using the model presented here can implement more...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.014
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Gertjan Kok, Federica Gugole, Aaron Seymour, Richard Koops
As part of the digital transformation the usage of sensor networks is rapidly increasing. Metrological applications at the NMI level can benefit from this new technology as well. In this manuscript we report on a sensor network that was installed in VSL’s length laboratory to measure in more detail the ambient temperature profile as required for measuring long distances by an interferometric application. The measurement results of the sensor network were compared with the results from the 5 sensors that have been used until now. An offset in the mean temperature of about 0.2 ◦C was found,...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.013
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Guglielmo Frigo, Marco Agustoni, Federico Grasso Toro
In modern power systems, the measurement infrastructure represents the backbone of any monitoring and control application. Indeed, the ever-increasing penetration of renewable energy sources and distributed generation has produced an operating scenario prone to instability and rapid variations. In order to address these challenges, current and voltage phasor measurements are typically acquired at each sensitive network node and then aggregated at local or central level in order to estimate the system state or to take control actions as the opening of a circuit breaker. From a normative point...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.012
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A Varshney, N Garg, S K Jaiswal and S Yadav
The digital transformation has emerged to be a novel concept in recent times with numerous innovative advantages and some associated unpredictable risks like cyber security, data encryption, data storage and secured communication etc. It is a multifaceted and emerging phenomenon that has significant impact and is this essentially required in the industrial sector for taking the advantages of cutting-edge technologies and internet of things so that the machine can communicate with the outer word in real-time mode. The main objective of this paper is to understand and analyze the effects of...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.011
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Marek Havlíček, Martin Koval, Jiří Tesař
The Sensor Network (SN) [1] has become already a well-established concept widely used in many areas of industry such as automotive, mechanical engineering, food industry and energy supply, health care, etc. Rapid development of new technologies has brought novel approaches and implementation of new technologies such as Artificial Intelligence (AI), Cloud Computing, Big Data storage, management, etc. Current trends focus predominantly on monitoring and optimization of processes in order to increase effectiveness and reliability which can be effectively reached only with the help of sensor...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.010
· Download
Katsuhiro Shirono, Naoki Takegawa, Mahbuba Moni, Daniel Peters
Product certifications are conformity assessments for items. In the testing for the product certification, the managerial and technical procedures are validated through another conformity assessment, the accreditation of the testing laboratory. The review for the accreditation is implemented once a few years. The digitalized history of the laboratory activities (e.g. the external and internal reviews, the training, and the calibrations) can be helpful to check the quality of the testing for individual product certifications. In this report, we discuss what data has to be assessed and how...
M4Dconf2022
· TC6
· 2022
· 10.21014/tc6-2022.009
· Download