izmertechИзмерительная техникаIzmeritel`naya Tekhnika0368-10252949-5237ФГУП "ВНИИФТРИ"10.32446/0368-1025it.2022-8-28-34izmertech-1633Research ArticleОБЩИЕ ВОПРОСЫ МЕТРОЛОГИИ И ИЗМЕРИТЕЛЬНОЙ ТЕХНИКИGENERAL PROBLEMS OF METROLOGY AND MEASUREMENT TECHNIQUESОптимизация процессов эксплуатации и обновления парка измерительной техникиOn optimizing operation and updating processes of measuring equipment f eethttps://orcid.org/0000-0002-0596-4955ХайруллинР. З.KhayrullinR. Z.

Рустам Зиннатуллович Хайруллин

Москва;

Мытищи, Московская обл.

Rustam Z. Khayrullin

Moscow

Mytischy, Moscow region

 

zrkzrk@list.ruНациональный исследовательский Московский государственный строительный университет; Главный научный метрологический центр Министерства обороны Российской ФедерацииРоссияNational Research Moscow State University of Civil Engineering; Main Scientific Metrological Centre,Russian Federation202219052023082834Copyright © ФГУП "ВНИИФТРИ", 20232023ФГУП "ВНИИФТРИ"ФГУП "ВНИИФТРИ"https://www.izmt.ru/jour/about/submissions#copyrightNoticehttps://www.izmt.ru/jour/article/view/1633

Рассмотрено построение моделей эксплуатации сложных технических систем. Показано, что в литературе недостаточно полно освещены вопросы оптимизации систем с метрологическим обеспечением. Предложена модель управления процессами эксплуатации и обновления парка измерительной техники, относящейся к нескольким группам деградации. Построена функциональная зависимость стационарного коэффициента готовности от метрологических параметров измерительной техники – интервалов между поверками, относительных эксплуатационных допусков на контролируемые параметры и относительных погрешностей измерения, а также от организационно-технических и технических параметров. Разработанная модель позволяет вычислять оптимальные (рациональные) параметры эксплуатации и обновления парка измерительной техники. Модель можно применять при классификации сложных технических систем с целью задания требований к их метрологическому обеспечению.

The model for managing the process of operation and updating the fleet of measuring equipment, taking into account degradation processes is proposed. The model includes three groups of degradation of measuring equipment. The functional dependence of the stationary availability coefficient on the intervals between verifications, on the relative operational tolerances for the controlled parameters, on the relative measurement errors and other technical and technological parameters of the operation and renewal of the fleet is constructed. The presented model allows us to calculate the optimal (rational) parameters of operation and renewal of the fleet of measuring equipment. The model can be used to classify complex technical systems in order to set requirements for their metrological support.

оптимальное управление паркомизмерительной техникимодель эксплуатациимодель обновлениямодель деградацииложный отказнеобнаруженный отказoptimal management of the measuring equipment fleetmodel of operationmodel of updatemodel of degradationfalse failureundetected failureReferencesSychev E. I., Metrologicheskoe obespechenie radioelektron- noj apparatury, Moscow, Tatiana’s Day Publ., 1994, 277 p. (In Russ.)Sychev E. I., Metrologicheskoe obespechenie radioelektronnoj apparatury, Moscow, Tatiana’s Day Publ., 1994, 277 p. (In Russ.)Mishchenko V. I., Evolution of models of the process of operation of weapons and military equipment, Vestnik akademii voennyh nauk, 2003, no. 4(05), 200, available at: https://militaryarticle.ru/vestnik-akademii-voennykh-nauk/2003-vavn/10460jevoljucija-modelej-processa-ekspluatacii(accessed:10.06.2022).(In Russ.)Mishchenko V. I., Evolution of models of the process of operation of weapons and military equipment, Vestnik akademii voennyh nauk, 2003, no. 4(05), 200, available at: https://militaryar ticle.ru/vestnik-akademii-voennykh-nauk/2003-vavn/10460 -jevoljucijamodelej-processa-jekspluatacii (accessed: 10.06.2022). (In Russ.)Viktorova V. S., Lubkov N. V., Stepanyants A. S., A naliz nadezhnosti otkazoustojchivyh upravlyayushchih vychislitel’nyh sistem [Reliability analysis of fault-tolerant control computing systems], Moscow, Institute of Management Problems of Russian Academy of Science Publ., 2016, 117 p. (In Russ.)Viktorova V. S., Lubkov N. V., Stepanyants A. S., A naliz nadezhnosti otkazoustojchivyh upravlyayushchih vychislitel’nyh sistem [Reliability analysis of fault-tolerant control computing systems], Moscow, Institute of Management Problems of Russian Academy of Science Publ., 2016, 117 p. (In Russ.)Meshalkin V. P., Boyarinov Yu. G., Theor. Found. Chem. Eng., 2010, vol. 44, no. 2. pp. 186–191. https://doi.org/10.1134/S0040579510020090Meshalkin V. P., Boyarinov Yu. G., Theor. Found. Chem. Eng., 2010, vol. 44, no. 2. pp. 186–191. https://doi.org/10.1134/S0040579510020090Glushko S. I., Boyarinov Yu. G., Semi-markov models of systems with fuzzy parameters, Programmnye produkty i siste- my, 2012, no. 2, pp. 146–148. (In Russ.)Glushko S. I., Boyarinov Yu. G., Semi-markov models of systems with fuzzy parameters, Programmnye produkty i sistemy, 2012, no. 2, pp. 146–148. (In Russ.) 6. Kozlov A. Yu., Model of the semi-Markov process of functioning of a mobile video surveillance system (with implementation in Matlab), Izvestiya vysshih uchebnyh zavedenij. Povolzhskij region. Tekhnicheskie nauki, 2016, no. 1 (37), pp. 40–55. (In Russ.)Kozlov A. Yu., Model of the semi-Markov process of functioning of a mobile video surveillance system (with implementation in Matlab), Izvestiya vysshih uchebnyh zavedenij. Povolzhskij re- gion. Tekhnicheskie nauki, 2016, no. 1 (37), pp. 40–55. (In Russ.)Kravchenko V. F., Lutsenko V. I., Masalov S. A., Pustovoit V. I., , Doklady physics 20 13, vol. 58, no. 11, pp. 465–468. https://doi.org/10.1134/S1028335813110074Kravchenko V. F., Lutsenko V. I., Masalov S. A., Pusto- voit V. I., , Doklady physics 20 13, vol. 58, no. 11, pp. 465–468. https://doi.org/10.1134/S1028335813110074Kuznetsov S. V., Mathematical models of processes and systems of technical operation of avionics as Markov and semiMarkov processes, Nauchnyj vestnik MGTU GA, 2015, no. 213(3), pp. 28–33. (In Russ.)Kuznetsov S. V., Mathematical models of processes and systems of technical operation of avionics as Markov and semi- Markov processes, Nauchnyj vestnik MGTU GA, 2015, no. 213(3), pp. 28–33. (In Russ.)Chernyshova T. I., Tretyakov V. V., Mathematical modeling in the analysis of metrological reliability of analog blocks of information and measurement systems, Vestnik TGTU, 2014, vol. 20, no. 1, pp. 42–49. (In Russ.)Chernyshova T. I., Tretyakov V. V., Mathematical modeling in the analysis of metrological reliability of analog blocks of infor- mation and measurement systems, Vestnik TGTU, 2014, vol. 20, no. 1, pp. 42–49. (In Russ.)Mishchenko V. I., Kravtsov A. N., Mamleev T. F., Measurement Techniques, 2021, vol. 64, no. 4, pp. 289–295. https://doi.org/10.1007/s11018-021-01931-3Mishchenko V. I., Kravtsov A. N., Mamleev T. F., Measure- ment Techniques, 2021, vol. 64, no. 4, pp. 289–295. https://doi.org/10.1007/s11018-021-01931-3Pashkovsky A. I., Algorithms for diagnosing defects based on hidden semi-Markov models, Sovremennye problemy nauki i obrazovaniya: elektronnyj zhurnal, 2014, no. 6, available at: http://science-education.ru/ru/article/ view?id=16495 (accessed: 10.06.2022). (In Russ.)Pashkovsky A. I., Algorithms for diagnosing defects based on hidden semi-Markov models, Sovremennye problemy nauki i obrazovaniya: elektronnyj zhurnal, 2014, no. 6, available at: http://science-education.ru/ru/article/view?id=16495(accessed: 10.06.2022). (In Russ.)Khayrullin R. Z., Popenkov A. J., Distribution of controlling volumes of metrological support for the objectives of complex organizational and technical systems with the use of semiMarkov models, Proceedings of XI International Conference: Management of Large-Scale System Development, MLSD, 2018, 8551917, 5p.Khayrullin R. Z., Popenkov A. J., Distribution of control- ling volumes of metrological support for the objectives of com- plex organizational and technical systems with the use of semi- Markov models, Proceedings of XI International Conference: Management of Large-Scale System Development, MLSD, 2018, 8551917, 5p.Khayrullin R. Z., Kornev А. S., Kostoglotov А. А., Lazarenko S. V., Measurement Techniques, 2020, vol. 63, no. 9, pp. 680– 685. https://doi.org/10.1007/s11018-021-01839-yKhayrullin R. Z., Kornev А. S., Kostoglotov А. А., Lazaren- ko S. V., Measurement Techniques, 2020, vol. 63, no. 9, pp. 680– 685. https://doi.org/10.1007/s11018-021-01839-yKhayrullin R. Z., Volchkov A. A., Isaev Yu. A., Leonova K. S., Fufaeva O. V., Method of constructing estimates of measurement accuracy based on the use of a posteriori information, Vestnik metrologa, 2019, no. 4, pp. 18–21. (In Russ.)Khayrullin R. Z., Volchkov A. A., Isaev Yu. A., Leono- va K. S., Fufaeva O. V., Method of constructing estimates of measurement accuracy based on the use of a posteriori informa- tion, Vestnik metrologa, 2019, no. 4, pp. 18–21. (In Russ.)Khayrullin R. Z., Application of the Bayesian approach in the tasks of constructing statistical estimates when processing test results of measuring equipment, Vestnik metrologa, 2020, no. 1, pp. 9–15. (In Russ.)Khayrullin R. Z., Application of the Bayesian approach in the tasks of constructing statistical estimates when processing test results of measuring equipment, Vestnik metrologa, 2020, no. 1, pp. 9–15. (In Russ.)Khayrullin R. Z., Safonov A. A., Semi-Markov model of operation of radio measuring equipment with metrological support, Nauchnoe obozrenie, 2017, no. 19, pp. 167–170. (In Russ.)Khayrullin R. Z., Safonov A. A., Semi-Markov model of operation of radio measuring equipment with metrological sup- port, Nauchnoe obozrenie, 2017, no. 19, pp. 167–170. (In Russ.)Khayrullin R. Z., Safonov A. A., Semi-Markov model of operation of radio measuring equipment with metrological sup- port, Nauchnoe obozrenie, 2017, no. 19, pp. 167–170. (In Russ.)

The authors declare that there are no conflicts of interest present.