Preview

Measurement Standards. Reference Materials

Advanced search

Digitalization of Ensuring Metrological Traceability of Measuring Instruments and Reference Materials through Cloud-Based Technologies: Current State and Development Prospects

https://doi.org/10.20915/2077-1177-2022-18-3-57-70

Abstract

The accelerated implementation of digital technologies in the economy and social sphere is one of the national priorities in the Russian Federation. One of the components of this stage of industrial development is the creation of a comprehensive cloud platform for the complete automation of metrological centers and the implementation of the strategy for ensuring the uniformity of measurements ≪Metrology 4.0≫. Considering the numerous advantages of implementing digital systems and services, the integration of digital systems into life is associated with a number of difficulties, such as the lack of a single API protocol in the exchange of databases, the lack of unified standardized directories, etc.

The purpose of this study is compilation of information about existing foreign and national cloud-based solutions in the field of ensuring the uniformity of measurements, identification of their shortcomings and finding solutions to emerging problems, taking into account the conditions of modern technologies.

The main research methods were an analysis of the current situation in terms of metrological digital services in the Russian Federation, as well as in Germany, India in the USA and other countries. A comparison of approaches to the construction and prospects of the metrological cloud is carried out. The problems of introducing innovative technologies are described. The study using the example of FSIS ≪ARSHIN≫ showed that this digital service used in the Russian Federation does not have comprehensive functionality for organizing the metrological activities of enterprises and has limitations that do not allow moving to a new stage of digitalization. The main disadvantages of FSIS ≪ARSHIN≫ include the following: insufficient expansion of the coverage of measuring instruments, the impossibility of automatic processing of information about measuring instruments, as well as the lack of infrastructure for obtaining direct measuring information through cloudbased technologies.

As part of solving the problem, the author proposed a scheme for improving the FSIS ≪ARSHIN≫ system which includes: an algorithm for creating a uniform standard for the formation of systems for processing, storing and analyzing data of measuring instruments and reference materials; the creation of universal digital directories that allow describing measuring instruments for the formation of the scope of accreditation in the configurator of the Federal Accreditation Service; the creation of a unique identification number for the measuring instrument and reference material; the implementation of a secure mechanism for unique identification, verification and transmission of data on a measuring instrument based on blockchain technologies.

This scheme can be integrated into the FSIS ≪ARSHIN≫ and undergo trial operation without additional financial costs from the budget of the Russian Federation. This approach of gradually increasing the digital capabilities of the state, as well as ensuring safe work with large amounts of data, makes it possible for further digitalization and the prospect of developing a system for ensuring the uniformity of measurements in the Russian Federation.

About the Author

A. A. Popov
Omsk CSM; Omsk State Technical University
Russian Federation

Aleksey A. Popov – Cand. Sci. (Eng.), Head of the Department of metrological support and standardization; Associate Professor at the Department of Oil and Gas Business, Standardization and Metrology

117-A 24th Severnaya St., Omsk, 644116



References

1. Esche M., Toro F. G., Oppermann A., Wetzlich J., Peters D. The European metrology cloud. In: 18th International Congress of Metrology. 2017;:09001. https://doi.org/10.1051/metrology/201709001

2. Garg N., Rab S., Varshney A., Jaiswal S. K., Yadav S. Significance and implications of digital transformation in metrology in India. Measurement: Sensors. 2021;18:100248. https://doi.org/10.1016/j.measen.2021.100248

3. Tao F., Qi Q., Wang L., Nee A. Y.C. Digital twins and cyber–physical systems toward smart manufacturing and Industry 4.0: Correlation and Comparison. Engineering. 2019;5(4): 653–661. https://doi.org/10.1016/j.eng.2019.01.014

4. de Groot P. J., Schmidt M. Metrology & Industry 4.0. PhotonicsViews. 2021;18:73–75. https://doi.org/10.1002/phvs.202100053

5. Thiel F. Digital transformation of legal metrology – The European Metrology Cloud. OIML Bulletin. 2018; LIX(1):10–21.

6. Industry 4.0: Building the digital enterprise: 2016 Global Industry 4.0 Survey. Moscow: PwC; 2016. 12 p. Available from: https://решение-верное.рф/sites/default/files/global_industry-2016_rus.pdf. (In Russ.).

7. Jay Lee, Hung-An, Kao ShanhuYang. Service innovation and smart analytics for Industry 4.0 and big data environment. Procedia CIRP. 2014;16:3–8. https://doi.org/10.1016/j.procir.2014.02.001

8. Sinitsyn A. A. Features of the information-analytical system application for estimation the support areas for creation of the results of the intellectual activity of the research and educational institutions. Biotechnology Research Asia. 2014;11(3):1807–1813.

9. Thiel F., Esche M., Grasso Toro F., Peters D., Oppermann A., Wetzlich J. [et al.]. A digital quality infrastructure for Europe: The European metrology cloud. Fachorgan für Wirtschaft und Wissenschaft, Amts- und Mitteilungsblatt der Physikalisch-Technischen Bundesanstalt Braunschweig und Berlin. 2017;127(4):83–97.

10. Stéphane Itasse. USA: Industry 4.0 the American way https://www.process-worldwide.com/usa-industry-40-the-american-way-a-536602/

11. Hermann M., Pentek T., Otto B. Design principles for Industrie 4.0 scenarios: A literature review. Dortmund, Germany: Technische Universitat Dortmund, 2015. 16 p. https://doi.org/10.13140/RG.2.2.29269.22248

12. Grieves M., Vickers J. Digital Twin: Mitigating unpredictable, undesirable emergent behavior in complex systems (excerpt). 2016. 7 p. https://doi.org/10.13140/RG.2.2.26367.61609

13. Grieves M. Digital Twin: Manufacturing excellence through virtual factory replication. 2015. URL: https://www.researchgate.net/publication/275211047_Digital_Twin_Manufacturing_Excellence_through_Virtual_Factory_Replication

14. Brettel M., Friederichsen N., Keller M., Rosenberg M. How virtualization, decentralization and network building change the manufacturing landscape: An Industry 4.0 Perspective. International Journal of Information and Communication Engineering. 2014;8(1):37–44. https://doi.org/10.5281/zenodo.1336426

15. Yudina M. A. Industry 4.0: Opportunities and Challenges. E-journal public administration. 2017;60:197–215. (In Russ.).

16. Podvoisky G. L. Role of new technologies in economy of the 21st century. The world of new economy. 2016;(4):6–15. (In Russ.).

17. Jastreb N. A. Industry 4.0: Cyber-physical systems and the internet of things. In: Man in the technical environment: a collection of scientific articles. Vologda: Vologda State University; 2015. p. 136–141.

18. Bernovskij Ju. N. Basic methods of object identification. Standards and Quality. Available from: https://ria-stk.ru/stq/adetail.php?ID=5817

19. Ivanov R. N., Popov A. A. Setting tasks for the integration of modern cloud services with the digitization concept and industry 4.0. Mir izmerenij. 2020;3:36–41. (In Russ.).

20. Kahneman D., Tversky A. Prospect theory: An analysis of decision under risk // Econometrica. 1979. Vol 47. № 2. P. 263–291. https://doi.org/10.1017/CBO9780511803475.003


Review

For citations:


Popov A.A. Digitalization of Ensuring Metrological Traceability of Measuring Instruments and Reference Materials through Cloud-Based Technologies: Current State and Development Prospects. Measurement Standards. Reference Materials. 2022;18(3):57-70. (In Russ.) https://doi.org/10.20915/2077-1177-2022-18-3-57-70

Views: 968


ISSN 2687-0886 (Print)