Kazan, Russian Federation
This article presents the results of the development of a calibration method for measuring instruments used to determine directional transmittance coefficients and optical density, using a secondary standard. A detailed calibration algorithm has been developed, including two measurement methods: one using the KNS-10.5 set of optical filters (for calibrating measuring instruments) and the other using a reference spectrophotometer (for calibrating standards). The process of evaluating measurement uncertainty according to types A and B is described, and uncertainty budgets are compiled for nominal points in the wavelength range (300, 400, 780, 2500 nm). The proposed methodology has been tested on the KNS-10.5 set of light filters. Experimental data on the calibration of the set of optical filters were obtained, and the expanded measurement uncertainty was calculated. The methodology was validated using theoretical studies and interlaboratory comparison tests involving two independent laboratories. The results of the interlaboratory comparisons confirmed the applicability of the methodology. The possibility of scaling the cloud-based solution to other types of measuring instruments (spectrophotometers, photometers, colorimeters) after adapting the reference data and calculation formulas has been demonstrated. A key result of this work is the implementation of automated collection, storage, and processing of measurement data based on the Google Sheets cloud service and the Google Apps Script scripting language. The developed algorithm involves the automatic processing of results through a system of triggers and script functions, which enables the calculation of Type A and Type B standard uncertainties, total and expanded uncertainties, as well as the automatic generation of a calibration report without operator intervention during the calculation stages. The use of the cloud service has reduced the processing time for a single data set from 25-30 minutes to 6-8 minutes and completely eliminated data transfer errors.
CALIBRATION, OPTICAL DENSITY, SECONDARY STANDARD, MEASUREMENT UNCERTAINTY, VALIDATION, VERIFICATION, AUTOMATIC DATA PROCESSING
1. Ardycheva, A.A. Necessary Conditions for Measurement Reliability / A.A. Ardycheva, S.V. Soldatova. - Text: electronic // Cyberleninka: Scientific Electronic Library. - URL: https://cyberleninka.ru/article/n/neobhodimye-usloviya-dostovernosti-izmereniy (accessed May 2, 2026).
2. Pavlova, T.V. Evaluation of Quality Indicators for the Method of Determining the Moisture Content of Bulk Substances and Materials by Weighing / T.V. Pavlova, N.I. Movchan. - Text: electronic // Cyberleninka: Scientific Electronic Library. - URL: https://cyberleninka.ru/article/n/otsenka-pokazateley-kachestva-metodiki-opredeleniyavlazhnosti-sypuchih-veschestv-i-materialov-metodom-vzveshivaniya/viewer (accessed May 2, 2026).
3. GOST ISO/IEC 17025-2019 General Requirements for the Competence of Testing and Calibration Laboratories [Text]. - Effective 09/01/2019. - Moscow: Standardinform, 2021. – 32 pp.
4. Kuznetsova, E.A. Features of the Calibration of Pressure Measuring Instruments / E.A. Kuznetsova, N.A. Vikhareva. -Text: electronic// Cyberleninka: Scientific Electronic Library. - URL: https://cyberleninka.ru/article/n/ osobennosti-kalibrovki-sredstv-izmereniy-davleniya (accessed: May 2, 2026).
5. Lavrinov, S.V. Development of a Calibration Method for Gas Analyzers to Determine the Content of Components in Gaseous Media / S.V. Lavrinov, E.V. Petrova, R.G. Romanova // Bulletin of the Technological University. - 2024. - Vol. 27, No. 10. - p. 69.
6. On Standards for Units of Measurement Used in the Field of State Regulation to Ensure the Uniformity of Measurements: Resolution of the Government of the Russian Federation No. 734 of September 23, 2010 // Collection of Legislation of the Russian Federation. - 2010. - No. 40. - Art. 5066.
7. On the Approval of the State Verification Scheme for Measuring Instruments of Spectral, Integral, and Reduced Coefficients of Direct Transmission, Diffuse and Specular Reflection, and Optical Density in the Wavelength Range from 0.2 to 20.0 μm:Order of the Federal Agency for Technical Regulation and Metrology No. 2517 of November 27, 2018 // Electronic Repository of Legal and Regulatory-Technical Documents: Official Website / JSC “Codex.” - URL: https://docs.cntd.ru/document/553849921 (accessed May 15, 2026).
8. GOST R 8.879-2014 GSI. Calibration procedures for measuring instruments. General requirements for content and presentation [Text]. - Effective 09/01/2015. - Moscow: Standardinform, 2019. - 11 pp.
9. GOST 34100.1-2017 Measurement uncertainty. Part 1. Introduction to guidelines for expressing measurement uncertainty [Text]. - Effective 2018-09-01. - Moscow: Standardinform,
10. GOST 34100.3-2017 Measurement Uncertainty. Part 3. Guidance on the Expression of Measurement Uncertainty [Text]. - Effective 2018-09-01. - Moscow: Standardinform, 2018. - 118 pp.
11. Danilov, A.A. Practical Issues of Calibrating Measuring Equipment in the Activities of a Testing Laboratory // Legislative and Applied Metrology. – 2022. - No. 4. - pp. 30–33.
12. KNS 10.5 Light Filter Set [Electronic resource] - Access mode: https://all-pribors.ru/opisanie/65272-16-kns-10-5-74239, free access.
13. KNS 10.2 Light Filter Set [Electronic resource] – Access mode: https://www.ktopoverit.ru/prof/opisanie/47691-11.pdf, free access.
14. Zverev, V. A. Optical Materials. Part 1. A Textbook for Designers of Optical Systems and Instruments / V. A. Zverev, E. V. Krivopustova, T. V. Tochilina. – Saint Petersburg: ITMO University, 2009. – 2, 44 pp.
15. Golubkova, E. V., Komina, I. G., Chikantseva, E. I. Validation and Verification of Measurement Methods: Opinions and Perspectives. Plant Laboratory. Materials Diagnostics. 2023; 89(2(II)): 77–80. https://doi.org/10.26896/1028-6861-2023-89-2-II-77-80.
16. Sulaberidze, V. Sh. Trends in the Development of Metrological Support for Measurement Systems, Taking into Account the Increasing Complexity of Their Functionality / V. Sh. Sulaberidze, A. G. Chunovkina, A. N. Pronin, et al. // Etalons. Standard Samples. – 2025. – Vol. 21, No. 4. – pp. 124–138.
17. Menshikov, A. D. Metrological Support within the Framework of the “Digital Economy of the Russian Federation”Program / A. D. Menshikov // Chief Metrologist. – 2020. – No. 1(112). – pp. 56–59.
18. Menshikov, A. D. Automation of Verification and Calibration—Increasing Productivity / A. D. Menshikov // Chief Metrologist. – 2021. – No. 4(121). – pp. 26–30.
19. Kiryushchenkov, A. N. Automation of Verification and Calibration Processes for Measuring Instruments in Modern Laboratories / A. N. Kiryushchenkov, A. D. Menshikov // Competence. –2024. – No. 5. – pp. 39–41.
20. - 30 pp.
