Проактивное управление функциональными характеристиками радиолокационного комплекса по данным автоматизированных учебно-тренировочных средств
Работая с нашим сайтом, вы даете свое согласие на использование файлов cookie. Это необходимо для нормального функционирования сайта, показа целевой рекламы и анализа трафика. Статистика использования сайта отправляется в «Яндекс» и «Google»
Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Proactive management of the functional characteristics of the radar complex according to the data of automated educational and training tools

idTimoshenko A.V. Osipov A.V.   idKharebin D.A.

UDC 004.9, 355.5
DOI: 10.26102/2310-6018/2021.35.4.004

  • Abstract
  • List of references
  • About authors

This article considers the issue of ensuring the effective use of proactive control of the functional characteristics of the radar complex, taking into account the technical readiness of hardware and software and the level of training of operators and maintenance personnel. The importance of the human factor contribution in ensuring the combat readiness and effectiveness of the use of the radar complex for its intended purpose is emphasized. As a result of the analysis of the existing methodological apparatus for assessing the level of training of operators and service personnel for the modern proactive management methods implementation, the necessity and ways of improving it are determined based on the competence approach adopted a priori in the Russian Federation. The concepts of the professional competence portrait of the operator and the reference professional competence portrait describing the necessary and sufficient set of competencies required by the operator for timely and effective management and application of the radar complex are introduced. An information model of a professional competence portrait is described, a metric for calculating a quantitative integral assessment of the level of its formation is proposed, which is applicable for software implementation as part of automated training tools. The scheme of application of automated training tools for solving operational tasks of proactive control of the radar complex is presented. The necessity of using Big Data of operational data of the repair and diagnostic complex for detecting signs, determining the causes and eliminating/preventing failures, as well as archival and up-to-date data from automated training facilities on the state of training of operators and maintenance personnel in the process of proactive control of the radar complex is noted. Based on the results obtained, it can be concluded that it is advisable to integrate training facilities and systems of technical and functional control of the radar complex to achieve a given level of probability of performing the tasks of the radar complex according to its intended purpose.

1. Boev S.F. Upravlenie riskami proektirovaniya i sozdaniya radiolokatsionnykh stantsii dal'nego obnaruzheniya; 2017. 430 р. (In Russ.)

2. Grigorov S.Yu. Lebedev V.V., Kazmenko A.V., Mitrofanova S.V. Prognozirovanie tekhnicheskogo sostoyaniya ob"ekta s uchetom strategii tekhnicheskogo obsluzhivaniya pri ekspluatatsii slozhnykh tekhnicheskikh sistem s periodicheskim kontrolem. Vozdushno-kosmicheskiye sily. Teoriya i praktika. Ekspluatatsiya i vosstanovleniye vooruzheniya i voyennoy tekhniki, tekhnicheskoye obespecheniye = Aerospace forces. Theory and practice. Operation and restoration of weapons and military equipment, technical support. 2018;(8):108–118. (In Russ.)

3. Trukhanov V.M., Matveenko A.M. Nadezhnost' slozhnykh sistem na vsekh etapakh zhiznennogo tsikla. 2nd ed. 2016. 664 р. (In Russ.)

4. Osipov A.V., Timoshenko A.V., Perlov A.Yu., Lviv K.V. Intellektual'naya sitema podderzhki funktsional'nykh kharakteristik RLK monitoringa na osnove prognozirovaniya otkazov. Vychislitel'nyye tekhnologii = Computing technologies. 2020;25(6):95–103. (In Russ.)

5. Gordievskaya K.Yu., Khalimov D.N., Gorbenko O.N., Rozhkova A.A. Analiz metodov dlya prognozirovaniya sostoyaniya tekhnicheskogo oborudovaniya. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, optimization and information technologies. 2014;4(7). Available at: https://moit.vivt.ru/wp-content/uploads/2015/01/GordievskayaSoavtori_4_14_2.pdf (accessed 25.08.2021). (In Russ.)

6. Okhtilev M.Yu., Mustafin N.G., Miller V.E., Sokolov B.V. Kontseptsiya proaktivnogo upravleniya slozhnymi ob"ektami: teoreticheskie i tekhnologicheskie osnovy. Izvestiya vysshikh uchebnykh zavedeniy. Priborostroyeniye = Proceedings of higher educational institutions. Instrumentation. 2014;57(11):7–15. (In Russ.)

7. Kofnov O.V., Shaken S.A., Sokolov B.V., Trefilov P.M. Spetsial'noe model'no-algoritmicheskoe i programmnoe obespechenie proaktivnogo upravleniya gruppovym povedeniem robototekhnicheskikh sredstv. Izvestiya Yuzhnogo federal'nogo universiteta. Tekhnicheskiye nauki. = Izvestia of the Southern Federal University. Technical sciences. 2021:138–149. (In Russ.)

8. Slutsky K.A., Starikov N.E., Bogomolov S.N. Matematicheskaya model' otsenki boegotovnosti vooruzheniya boevoi mashiny. Izvestiya TulGU. Tekhnicheskiye nauki. Voyenno-spetsial'nyye nauki = Izvestiya TulSU. Technical sciences. Military-special sciences. 2017:265–274. (In Russ.)

9. Belov O.A. Otsenka tekhnicheskoi gotovnosti sistemy s uchetom vliyaniya chelovecheskogo faktora. Vestnik Kamchatskogo gosudarstvennogo tekhnicheskogo universiteta = Bulletin of the Kamchatka State Technical University. 2014:12–16. (In Russ.)

10. Izergina A.R. Obzor statisticheskikh metodov otsenki nadezhnosti. Materialy XII Vserossiyskaya nauchno-prakticheskaya konferentsiya MMSEP MAiSEM = XII All-Russian Scientific and Practical Conference of the MMSEP MAiSEM. 2018:45-50. (In Russ.)

11. GOST RV 0027-012-2009 Reliability of military equipment. Test plans to assess the probability of failure-free operation. (In Russ.)

12. Federal Law No. 273-FZ of 29.12.2012 «On Education in the Russian Federation». (In Russ.)

13. Lvovich K.I., Preobrazhensky Y.P. Algoritmizatsiya prinyatiya reshenii pri upravlenii obrazovatel'noi sistemoi dual'nogo obucheniya personala infokommunikatsionnykh kompleksov. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, optimization and information technologies. 2020;8(2). Available at: https://moit.vivt.ru/wp-content/uploads/2020/05/LvovichK_PreobrazhenskyY_2_20_1.pdf DOI:10.26102/2310-6018/2020.29.2.026 (accessed 25.08.2021). (In Russ.)

14. Sokolova E.S., Razinkin K.A. Algoritmizatsiya mul'tiagentnogo obucheniya s podkrepleniem v teoretiko-igrovykh zadachakh poiska optimal'nykh strategii. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, optimization and information technologies. 2020;8(1). Available at: https://moit.vivt.ru/wp-content/uploads/2020/02/SokolovaSoavtori_1_20_1.pdf DOI:10.26102/2310-6018/2020.28.1.040 (accessed 25.08.2021). (In Russ.)

15. Datsenko N.V., Gorbatenko S.A., Gorbatenko V.V. Adaptivnaya avtomatizirovannaya sistema kak sredstvo differentsiatsii obucheniya pri podgotovke spetsialistov v oblasti informatsionnykh tekhnologii. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, optimization and information technologies. 2019;7(2). Available at: https://moit.vivt.ru/wp-content/uploads/2019/05/DatsenkоSoavtori_2_19_1.pdf DOI: 10.26102/2310-6018/2019.25. 2.007 (accessed 25.08.2021). (In Russ.)

16. Menshikh V.V. Sereda E.N. Model' i algoritm optimizatsii vybora napravlenii podgotovki pri mnogotselevom obuchenii. Modelirovaniye, optimizatsiya i informatsionnyye tekhnologii = Modeling, optimization and information technologies. 2017;4(19). Available at: https://moit.vivt.ru/wpcontent/uploads/2017/10/MenshikhSereda_4_1_17.pdf (accessed 23.08.2021). (In Russ.)

17. Ebbingauz G. Essays of psychology. Translation of the 3rd German edition edited by K.I. Povarin; 1911. 242 p. (In Russ.)

18. Order of the Minister of Defense of the Russian Federation No. 670 of September 15, 2014 «On measures to implement certain provisions of Article 81 of Federal Law No. 273-FZ of December 29, 2012» «On Education in the Russian Federation». (In Russ.)

19. Evtikhov O.V. Formirovanie professional'noi kompetentsii kursantov v obrazovatel'noi srede VUZa pravookhranitel'nykh organov. Dissertation for the degree of Doctor of Pedagogical Sciences. 2015. 424 p. (In Russ.)

20. Verbitsky A.A. Kompetentnostnyi podkhod i teoriya kontekstnogo obucheniya: Materials for the fourth meeting of the methodological seminar on November 16, 2004-Moscow: Research Center for Quality Problems of Training specialists. 2004. 84 p. (In Russ.)

21. Lepeshkova Zh.V. Formirovanie obshchikh i professional'nykh kompetentsii. Obrazovatel'naya sotsial'naya set' = Educational social network. Available at: https://nsportal.ru (accessed 26.10.2020). (In Russ.)

22. Zeer E.F. Modernizatsiya professional'nogo obrazovaniya: kompetentnostnyi podkhod. Obrazovaniye i nauka = Education and science. 2004;3(27):42–53. (In Russ.)

23. Bushmakina N.S. Proektirovanie mnogourovnevykh otsenochnykh sredstv dlya diagnostiki kachestva inzhenerno-graficheskoi podgotovki studentov v tekhnicheskom VUZe. = Abstract of the dissertation for the degree of Candidate of pedagogical Sciences. 2016:24. (In Russ.)

24. Spencer L.M., Spencer S.M. Kompetentsii na rabote. 2005:371. (In Russ.)

25. Prokhorova M.V., Yezhova A.S. Sravnitel'nyi analiz metodov razrabotki modelei kompetentsii. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo = Bulletin of the Lobachevsky Nizhny Novgorod University. 2012:63–71. (In Russ.)

26. Lezina T. A., Khorosheva T. A., Korostyleva A.V. Tsifrovoi sled kak instrument otsenki kompetentsii: keis kompanii «Gazprom neft'». PRONeft'. Professional'no o nefti = Proneft. Professionally about oil 2021;2(20):91–98. (In Russ.)

27. Koborov V.B., Kochurov B. I. Teoriya i praktika ekspertnykh metodov. 2021. 281 p. (In Russ.)

28. Grigan A.M. Upravlencheskaya diagnostika: teoriya i praktika: Monograph. 2009. 316 p. (In Russ.)

29. Kharebin D.A., Pashkov D.M. Issledovanie metodov resheniya zadachi integral'noi otsenki osvoeniya uchebnykh distsiplin na baze kompetentnostnogo podkhoda. Materialy XXXVIII Vserossiyskoy NTK, filial VA RVSN (g. Serpukhov) = XXXVIII All-Russian STC, branch of the VA RVSN (Serpukhov). 2019:120–127. (In Russ.)

30. Kopylov A. Primenenie matritsy i diagrammy kompetentsii. Soobshchestvo IT-spetsialistov = Community of IT specialists. Available at: https://habr.com/ru/post/443162/ (accessed 10.03.2019). (In Russ.)

Timoshenko Alexsander Vasilevich
Doctor Of Technical Science Professor Of Moscow Aviation Institute (National Research University),

ORCID |

Moscow Aviation Institute (National Research University),

Moscow, Russian Federation

Osipov Alexander Vladimirivich


Joint-stock company “Remvooruzhenie”

Moscow, Russian Federation

Kharebin Denis Aleksandrovich

ORCID |

Joint-stock company “RTI”

Moscow, Russian Federation

Keywords: proactive management, technical control, artificial intelligence, big Data, educational and training tools, competence approach

For citation: Timoshenko A.V. Osipov A.V. Kharebin D.A. Proactive management of the functional characteristics of the radar complex according to the data of automated educational and training tools. Modeling, Optimization and Information Technology. 2021;9(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=1044 DOI: 10.26102/2310-6018/2021.35.4.004 (In Russ).

414

Full text in PDF

Received 01.09.2021

Revised 09.10.2021

Accepted 03.11.2021

Published 02.12.2021