COMPREHENSIVE ASSESSMENT OF THE QUALITY OF UNMANNED AERIAL VEHICLES USED IN THE DIVISIONS OF EMERCOM OF RUSSIA
Abstract and keywords
Abstract (English):
Unmanned aerial vehicles have firmly entered our lives. They are used in various fields, not an exception is the scope of search and rescue operations. The EMERCOM of Russia purchases and uses various unmanned aerial vehicles. For operational use, helicopter-type vehicles are most often used, which also include quadrocopter-type vehicles that use four main rotors that provide lift. Different quadrocopters have different characteristics and parameters. When purchasing quadrocopters, they primarily focus on the characteristics, parameters and cost of the devices. At the moment, there are no methods for a comprehensive assessment of the parameters of unmanned aerial vehicles. Within the framework of the study, a method of integrated assessment based on the application of the Pareto method is proposed, on the basis of which optimal unmanned aerial vehicles are identified. The practical significance of the results lies in the possibility of forming requirements for the purchase of unmanned aerial vehicles for the units of EMERCOM of Russia, taking into account the optimality of characteristics and cost.

Keywords:
unmanned aerial vehicle, quadrocopter, dimensional analysis method, quality assessment
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References

1. Fazylova A.V., Elizar'ev A.N. Primenenie bespilotnyh letatel'nyh apparatov pri tushenii lesnyh pozharov // Studencheskij nauchnyj forum: materialy XI Mezhdunar. stud. nauch. konf. URL: https://scienceforum.ru/2019/article/2018013325 (data obrashcheniya: 17.02.2023).

2. Drony (kvadrokoptery): primenenie na pozharah. URL: https://fireman.club/statyi-polzovateley/drony-kvadrokoptery-primenenie-na-pozharah/ (data obrashcheniya: 17.02.2023).

3. Kishalov A.E., Galimzyanova R.R. Primenenie BPLA v zadachah podrazdelenij MCHS. 2015. № 1 (13). S. 74-79.

4. Skudneva O.V. Obespechenie bezopasnosti polyotov v ekstremal'nyh usloviyah chrezvychajnyh situacij s pomoshch'yu ispol'zovaniya transportnyh bespilotnyh letatel'nyh apparatov // Innovacii v sovremennoj nauke: materialy Mezhdunar. (zaoch.) nauch.-prakt. konf. Praga, Chekhiya: Nauch.-izd. centr «Mir nauki» (IP Vostrecov Aleksandr Il'ich), 2017. S. 114-123.

5. Zhirnova N.A., Sharafutdinova E.F. Ispol'zovanie bespilotnyh letatel'nyh apparatov v deyatel'nosti sluzhby poiskovogo i avarijno-spasatel'nogo obespecheniya poletov i MCHS Rossijskoj Federacii // OPEN INNOVATION: sb. statej VII Mezhdunar. nauch.-prakt. konf. / otv. red. G.Yu. Gulyaev. Penza: MCNS «Nauka i Prosveshchenie», 2018. S. 44-46.

6. Vojtenok O.V. Vozmozhnosti primeneniya tekhnicheskih sredstv dlya monitoringa sostoyaniya pozharnoj bezopasnosti na territoriyah sadovodcheskih ili ogorodnicheskih nekommercheskih tovarishchestv // Naukosfera. 2021. № 6-2. S. 52-56.

7. Vojtenok O.V. Prakticheskie aspekty udalennogo monitoringa sostoyaniya pozharnoj bezopasnosti naselennyh punktov i prilegayushchih territorij // Naukosfera. 2021. № 9-1. S. 130-133.

8. Vojtenok O.V. Primenenie sovremennyh tekhnologij pri kontrole sostoyaniya pozharnoj bezopasnosti naselennyh punktov // Analiz problem vnedreniya rezul'tatov innovacionnyh issledovanij i puti ih resheniya: sb. statej Mezhdunar. nauch.-prakt. konf. / otv. red. Sukiasyan A.A. Ufa: OOO «OMEGA SAJNS», 2020. Ch. 2. S. 59-63.

9. Vojtenok O.V., Yuncova O.S. Innovacionnye metody pri osushchestvlenii ocenki vypolneniya i kontrolya soblyudeniya trebovanij pozharnoj bezopasnosti v naselyonnyh punktah // Nadzornaya deyatel'nost' i sudebnaya ekspertiza v sisteme bezopasnosti. 2020. № 2. S. 8-13.

10. Vojtenok A.V., Vojtenok O.V. Primenenie modul'nyh tekhnicheskih kompleksov dlya razvedki, tusheniya pozharov i obsledovaniya territorij naselennyh punktov, granichashchih s lesami // Nadzornaya deyatel'nost' i sudebnaya ekspertiza v sisteme bezopasnosti. 2019. № 1. S. 14-21.

11. Markin V.V., Salenko S.D. Predvaritel'noe opredelenie letnyh harakteristik bespilotnogo letatel'nogo apparata // Nauka. Promyshlennost'. Oborona: trudy XIX Vseros. nauch.-tekhn. konf. / pod red. S.D. Salenko. Novosibirsk: Novosibirskij gos. tekhn. un-t, 2018. T. I. S. 117-120.

12. Anisimov A.N., Panov V.V., Shirokov S.V. Podhod k formirovaniyu komponovochnogo resheniya dlya bespilotnogo letatel'nogo apparata odnorazovogo primeneniya // Informacionno-izmeritel'nye i upravlyayushchie sistemy. 2017. T. 15. № 6. S. 29-39.

13. Vodnev S.A., Maksimov A.V., Matveev A.V. Model' kompleksnoj ocenki processa tekhnicheskogo obespecheniya avarijno-spasatel'nyh sredstv podrazdelenij MCHS Rossii // Problemy upravleniya riskami v tekhnosfere. 2018. № 2 (46). S. 73-80

14. Kozhevin D.F. Metodika kompleksnoj ocenki effektivnosti ognetushitelej: dis. … kand. tekh. nauk. SPb., 2011. 167 s.

15. Filanovskij A.M. Metodika kompleksnoj ocenki effektivnosti gidravlicheskogo avarijno-spasatel'nogo instrumenta, primenyaemogo pri likvidacii posledstvij chrezvychajnyh situacij na transporte: dis. … kand. tekh. nauk. SPb., 2013. 125 s.

16. Bridzhmen P. Analiz razmernostej. Izhevsk: NIC «Regulyarnaya i haoticheskaya dinamika», 2001.

17. Seeking the Pareto front for multiobjective spatial optimization problems / B. Huang [et al.]. 2008. Vol. 22. № 5. P. 507-526. DOI:https://doi.org/10.1080/13658810701492365.

18. Kaliszewski I., Miroforidis J.Cooperative multiobjective optimization with bounds on objective functions. 2020. DOI:https://doi.org/10.1007/s10898-020-00946-4.

19. Polunin G.A., Kagarmanova R.M. Osnovnye kriterii i harakteristiki, neobhodimye dlya vybora BPLA, stoyashchih na vooruzhenii podrazdelenij sub"ekta Rossijskoj Federacii // Nauka YuUrGU: materialy 70-j Nauch. konf. Chelyabinsk: Izd. centr YuUrGU, 2018. S. 355-359.

20. Granad VA-1000. URL: https://drone-catalog.ru/product/granad-va-1000/ (data obrashcheniya: 17.02.2023).

21. DJI Phantom 3. URL: https://mchs.gov.ru/ministerstvo/o-ministerstve/tehnika/aviacionnaya-tehnika/dji-phantom-3 (data obrashcheniya: 17.02.2023).

22. GOST 8.417-2002. Gosudarstvennaya sistema obespecheniya edinstva izmerenij (GSI). Edinicy velichin. Dostup iz sprav.-pravovogo portala «Garant».

23. Pareto navigator for interactive nonlinear multiobjective optimization / P. Eskelinen [et al.]. 2010. Vol. 32. № 1. P. 211-227.

24. Podinovskij V.V., Nogin V.D. Pareto-optimal'nye resheniya mnogokriterial'nyh zadach. M.: Nauka. Glavnaya redakciya fiziko-matematicheskoj literatury, 1982. 256 s.

25. Aleksandrova V.M., Sobolenko L.A. Nekotorye metody nahozhdeniya effektivnyh tochek mnogokriterial'noj zadachi optimizacii // Sistemnye issledovaniya i informacionnye tekhnologii. 2014. № 4. S. 100-110.

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