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COMPREHENSIVE RISK-BASED METHODOLOGY JUSTIFICATIONS OF RATIONAL PARAMETERS SYSTEMS FOR THE ORGANIZATION OF VERIFICATION OF MEASURING INSTRUMENTS IN EMERCOM OF RUSSIA

Published in Problems of risk management in the technosphere · Volume 2026, Issue 2 · Pages 80–90 · Rubric: Risk reduction and elimination of consequences of emergency situations. Ensuring safety in case of emergency
DOI: https://doi.org/10.61260/1998-8990-2026-2-80-90
Received: 23.01.2026 Accepted: 10.04.2026 Published: 06.07.2026
A comprehensive risk-based methodology for planning and organizing the verification of measuring instruments in the EMERCOM of Russia system is presented. The technique is aimed at minimizing cumulative losses, including direct costs and potential damage from temporary decommissioning of devices. A modular structure has been developed that combines analytical, logistical and economic models, providing a systematic and reproducible approach to the management of verification resources. It includes five interrelated modules: prioritization of territorial facilities, optimization of routes for mobile metrological laboratories, distribution of measuring instruments between verification channels, optimization of verification of radiation monitoring devices, and assessment of the feasibility of expanding verification capacities. To analyze the effectiveness, quantitative criteria are proposed that reflect the prevented losses and the level of budget return. The application of the proposed methodology makes it possible to take into account the real distribution of risks and resource constraints, ensuring scientifically sound planning of checks, rational use of the budget and improving the reliability of measuring systems. The results of the research can be used in the development of metrological support programs, improvement of the technical control system and formation of strategies for the development of the infrastructure of verification laboratories.
metrological support, risk-based approach, verification, optimization, radiation monitoring, mobile metrological laboratory, budgetary efficiency
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1. Zemlyanoj K.G., Glyzina A.E. Metrologiya, standartizaciya i sertifikaciya: ucheb. posobie. Ekaterinburg: Izd-vo Ural. un-ta, 2022. 235 s.

2. Sozdanie avtomatizirovannoj sistemy monitoringa chrezvychajnyh situacij s radiacionnym faktorom v Bryanskoj oblasti / O.N. Apanasyuk [i dr.] // XXI VEK. Tekhnosfernaya bezopasnost'. 2023. № 2. S. 144–155.

3. Avarijno-spasatel'noe oborudovanie // MCHS Rossii. URL: https://mchs.gov.ru/ministerstvo/o-ministerstve/terminy-mchs-rossii/term/2131 (data obrashcheniya: 13.01.2026).

4. Osnovnye puti povysheniya effektivnosti primeneniya avarijno-spasatel'nyh sluzhb pri likvidacii chrezvychajnyh situacij: otchyot o NIR (zaklyuchitel'nyj): Shifr: «Spasatel'-00» / ruk. raboty V.S. Fedoruk; otv. isp. P.A. Popov. Novogorsk, 2000. 29 s.

5. Epihin A.V., Reznikov V.M. Veroyatnostnaya ocenka effektivnosti provedeniya avarijno-spasatel'nyh rabot // Tekhnologii grazhdanskoj bezopasnosti. 2007. № 3. S. 45–47.

6. Wheatley S., Sovacool B., Sornette D. Of disasters and dragon kings: a statistical analysis of nuclear power incidents and accidents // Risk Analysis. 2017. Vol. 37. № 1. P. 99–115.

7. Sovershennyj algoritm. Zhadnye algoritmy i dinamicheskoe programmirovanie. Ser.: Biblioteka programmista. SPb.: Piter, 2020. 256 s.

8. A Comparison of Greedy Algorithm and Dynamic Programming Algorithm // Web of Conferences SHS. URL: https://www.shs-conferences.org/articles/shsconf/pdf/2022/14/shsconf_stehf2022_03009.pdf (data obrashcheniya: 15.11.2025).

9. Metod otzhiga // Algoritmika. URL: https://algorithmica.org/ru/annealing (data obrashcheniya: 24.03.2025).

10. Delahaye D., Chaimatanan S., Mongeau M. Simulated annealing: From basics to applications / eds. M. Gendreau, J.-Y. Potvin. // Handbook of Metaheuristics. 3rd ed. Cham: Springer, 2019. P. 1–35.