Skip to main content

Advertisement

SpringerLink
Log in

Areas for improvement of measuring systems and their metrological support

  • GENERAL PROBLEMS OF METROLOGY AND MEASUREMENT TECHNIQUES
  • Published:
Measurement Techniques Aims and scope

Abstract

The relevant problem of analyzing the features of measurement systems and their metrological support is formulated. Promising areas for the development of measurement systems, including virtual systems, are considered. The article analyzes such development areas as remote and synchronized vector measurements, cloud technologies, the Internet of Things, big data, and artificial intelligence. Several innovative solutions employing both biosensors and hybrid metrology are described (introduction of structural redundancy into measurement systems, as well as the introduction of temporal and algorithmic redundancies into the software of measurement systems). It is shown that the integration of component functions objectively complicates the identification of measurement systems in complex technical systems, yet providing new possibilities for technical systems with measurement functions. The following areas for improving the metrological support of measurement systems are analyzed: self-diagnostics and self-monitoring; remote and automated calibration and verification; use of digital twins, big data, and artificial intelligence; establishment of adaptive calibration and verification intervals. The study reveals the need to minimize bureaucratic procedures and automate metrological procedures while showing practicability in switching from periodic to adaptive procedures requiring no human involvement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Notes

  1. Federal Law No. 102-FZ “On Ensuring Measurement Uniformity” of June 26, 2008.

  2. Decree of the Government of the Russian Federation No 866 of May 30, 2023 “On the specifics of conducting medical examinations with the use of medical devices providing automated remote transfer of data on the health status of employees and the remote monitoring of their health status.”.

  3. STO 59012820.29.020.011-2016. Relay Protection and Automation. Devices for Synchronized Vector Measurement. Norms and Requirements, standard of SO UPS.

  4. GOST R 8.818-2013 GSI. Virtual Measuring Instruments and Virtual Measuring Systems. General Principles.

  5. GOST R IEC 61508-2-2012 Functional Safety of Electrical, Electronic, Programmable Electronic Safety-related Systems. Part 2. Requirements for Systems.

  6. GOST Р 8.734-2011. GSI. Intelligent Sensors and Intelligent Measuring Systems. Methods of Metrological Self-checking.

  7. PNST 418-2020. Information Technology. Internet of Things. Structure of the Real-time Internet of Things.

  8. GOST R 8.596-2002. GSI. Metrological Assurance for Measuring Systems. Main Principles.

  9. GOST R 59342-2021. System Engineering. Protection of Information in System Measurement Process.

  10. GOST R 57700.37-2021. Computer Models and Simulation. Digital Twins of Products. General Provisions.

  11. ILAC-G24:2022/OIML D 10:2022. Guidelines for the Determination of Recalibration Intervals of Measuring Equipment Used in Testing Laboratories.

  12. GOST R ISO/IEC 17025-2019. General Requirements for the Competence of Testing and Calibration Laboratories.

  13. GOST 34100.1-2017 Uncertainty of Measurement. Part 1. Introduction to the Expression of Uncertainty in Measurement.

  14. GOST R 58771-2019 Risk Management. Risk Assessment Technologies.

  15. OIML G 19:2017 The Role of Measurement Uncertainty in Conformity Assessment Decisions in Legal Metrology.

References

  1. Danilov, A.A.: Meas. Tech. 59(3), 899–903 (2016). https://doi.org/10.1007/s11018-016-1064-4

    Article  Google Scholar 

  2. Ferrer, H.J.A., Schweitzer III, E.O. (eds.): (2010)

  3. von Meier, A., Brown, M.L., Arghandeh, R., Stewart, E.M.: A White Paper by the NASPI Distribution Task. Team (2018). https://doi.org/10.13140/RG.2.2.35267.04649

    Article  Google Scholar 

  4. V. G. Sokolov, Intellektual’naya Sistema Akusticheskogo Monitoringa Setej Teplo- i Vodosnabzheniya [in Russian], available at: https://digitalr.ru/wp-content/uploads/2021/08/sistemaakusticheskogomonitoringa_compressed.pdf (accessed: 06/16/2023).

  5. Sistema Monitoringa Avtomobil’nyh Dorog na Baze Raspredelennogo Akusticheskogo Sensora [in Russian], available at: https://www.smarts.ru/media/filer_public/0a/1a/0a1a8ea4-181b-4ecf-951e-fe4d58858da5/smarts_-_am_-_rfrit_web.pdf (accessed: 06/16/2023).

  6. A. V. Yashin, Normativnye Pravovye Voprosy Metrologicheskogo Obespecheniya Cifrovyh Informacionno-izmeritel’nyh Sistem OAO “RZHD” [in Russian], available at: https://opzt.ru/wp-content/uploads/2023/05/5.-jashin-a.v..pdf?ysclid=llaucwidj5255916465 (accessed: 06/16/2023).

  7. Ohotnikov, A.L.: Autom. Commun. Inform. (2023). https://doi.org/10.34649/AT.2023.3.3.003

    Article  Google Scholar 

  8. Danilov, A.A., Kucherenko, Y.V.: Meas. Tech. 55(12), 1447–1450 (2013). https://doi.org/10.1007/s11018-013-0147-8

    Article  Google Scholar 

  9. Berzhinskaya, M.V., Danilov, A.A., Yu, V.: Kucherenko, and N P. Ordinartseva. Meas. Tech. 57(3), 228–230 (2014). https://doi.org/10.1007/s11018-014-0436-x

    Article  Google Scholar 

  10. Budylina, E.A., Danilov, A.A.: J. Phys. Conf. Ser. 1379, 1–5 (2019). https://doi.org/10.1088/1742-6596/1379/1/012063

    Article  Google Scholar 

  11. Berzhinskaya, M.V., Danilov, A.A.: Meas. Tech. 52(3), 220–222 (2009). https://doi.org/10.1007/s11018-009-9263-x

    Article  CAS  Google Scholar 

  12. Henn, M.-A., Silver, R.M., Villarrubia, J.S.: in: Proc. SPIE 9424. Metrol. Insp. Process. Control. Microlithogr. Xxix (2015). https://doi.org/10.1117/12.2175653

    Article  Google Scholar 

  13. A. Vaid, N. Rana, and C. Bozdog, “Hybrid metrology for advanced semiconductor fabrication,” available at: https://spie.org/news/3827-hybrid-metrology-for-advanced-semiconductor-fabrication?SSO=1 (accessed: 06/16/2023).

  14. Pronin, A.N., Sapozhnikova, K.V., Taymanov, R.E.: Reliability of measurement information in control systems. Problems and their solution. T‑Comm 9(3), 32–37 (2015). https://elibrary.ru/tttwol

    Google Scholar 

  15. Yu, A.: Kuzin and A. N. Kroshkin, “Regulatory aspects of digital transformation in metrology,” Legis. Appl. Metrol., No. 5, 14–21 (2022). https://www.elibrary.ru/lghnii

  16. Kashirkina, I.M., Pronin, A.N., Gorbachev, A.A., Churilov, S.N.: Technical systems and devices with measurement functions: a terminological incident or a promising direction for the development of legislative and applied metrology. Part III. Prerequisites and ways of implementing the concept of technical systems and devices with measurement functions in practice. Chief Metrol. (1), 4–12 (2023)

  17. Taymanov, R., Pronin, A., Sapozhnikova, K.: Iu. Baksheyeva, and I. Danilova. J. Phys. Conf. Ser. 1379, 1–8 (2019). https://doi.org/10.1088/1742-6596/1379/1/012049

    Article  Google Scholar 

  18. Kalashnikov, A.A.: Avtomat. Prom. No 4, 12–16 (2023). https://doi.org/10.25728/avtprom.2023.04.05

    Article  Google Scholar 

  19. Danilov, A.A.: Practical issues of calibration of measuring equipment in test laboratory. Legis. Appl. Metrol. (4), 30–33 (2022). https://elibrary.ru/bectdb

  20. Medvedevskikh, S.V., Teteruk, R.A.: Meas. Tech. 65(7), 515–519 (2022). https://doi.org/10.1007/s11018-023-02112-0

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Regional Center of Standardization, Metrology and Tests in the Penza Region, Penza, Russian Federation

    A. A. Danilov

Authors
  1. A. A. Danilov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. A. Danilov.

Ethics declarations

Conflict of interest

The author declares no conflict of interest.

Additional information

Translated from Izmeritel’naya Tekhnika, Vol. 66, No. 8, pp. 24–29, August 2023. Russian DOI: https://doi.org/10.32446/0368-1025it.2023-8-24-29

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Original article submitted 06/21/2023. Accepted 07/11/2023.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Danilov, A.A. Areas for improvement of measuring systems and their metrological support. Meas Tech 66, 570–575 (2023). https://doi.org/10.1007/s11018-023-02269-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-023-02269-8

Keywords

UDC

Search

Navigation