APPROACH TO JUSTIFICATION OF PARAMETERS OF A ROBOTIC COMPLEX FOR CARRYING OUT EMERGENCY RESCUE AND OTHER EMERGENCY OPERATIONS
Abstract
An approach is proposed to substantiate the parameters of a robotic complex designed for
emergency rescue and other urgent work in the aftermath of accidents at particularly dangerous
facilities (hereinafter – RTC). This approach is based on the formulation of an ideal model of a
robotic complex and its further transformation in order to ensure the possibility of creating, on the
basis of existing industrial technologies, a promising sample that surpasses existing robotic tools
in terms of performance. The chosen approach defines a number of provisions regarding the process
of substantiating the parameters of technology and the creation of its promising samples and
technologies, including theoretical provisions that should be the basis for its consideration; methods
of action in its organization; the algorithm of its implementation. In the course of achieving
this goal – substantiating the parameters of the RTC under consideration, the following scientific
tasks were solved: the problems of creating a model for optimizing parameters were analyzed, an
"ideal model" for optimizing parameters was developed, on the basis of which a rational model for
optimizing RTC parameters was prepared. When solving these tasks, the main features of ideal
RTCs were identified: autonomy, flexibility, intelligence, maneuverability, programmability, possession
of sensory feedback. In addition, ideal RTCs should ensure: the exclusion of deaths and
injuries of personnel during emergency situations (hereinafter referred to as emergencies); improving
the effectiveness of emergency rescue and other urgent work (hereinafter referred to as
EROUW); flexibility and adaptability during EROUW. The rationalization of an ideal model in
this article is proposed to be understood as its transformation by reducing the requirements for the
corresponding parameters. At the same time, two types of rationalization of RTC parameters are
considered: – according to tactical indicators, it is a model that is advisable to implement if a
stochastic mathematical model of RTC actions can be developed; – according to technical indicators,
the model used if the mentioned RTC action model is not created. This approach makes it
possible to assess the degree of deviation of the selected RTC parameters and the methods used to
justify them from the best options, as well as to outline ways to improve them.
References
of scientific research: a textbook]. Krasnodar: KubGAU, 2013, pp. 24.
2. Novikov A.M., Novikov D.A. Metodologiya nauchnogo issledovaniya [Methodology of scientific
research]. Moscow: Librokom, 2010, pp. 134-138.
3. Maydanov A.S. Metodologiya nauchnogo tvorchestva [.Methodology of scientific creativity].
Moscow: Izd-vo LKI, 2008, pp. 46-75.
4. Abrosimov V., Mochalkin А. Collective behavior strategy development based on friendship of
robots, Proceedings of 4th International Conference on Mechatronics and Robotics Engineering
(ICMRE), Valenciennes, France, pp. 38-4. DOI: https://doi.org/10.1145/3191477.3191479.
5. Rzevski G., Skobelev P. Managing Complexity. Wit Pr/Computational Mechanics, 2014, 216 p.
6. A Roadmap for US Robotics – From Internet to Robotics. 2020 ed. Available at: https://www.
semanticscholar.org.
7. Lan G. Bundle-level type methods uniformly optimal for smooth and nonsmooth convex optimization,
Math. Program., 2015, Vol. 149, No. 1–2, pp. 1-45.
8. D’Aspremont A. Smooth optimization with approximate gradient, SIAM J. Optimizat., 2019,
Vol. 19, No. 3, pp. 1171-1183.
9. Bach F., Levy K.Y. A universal algorithm for variational inequalities adaptive to smoothness
and noise, COLT, 2019.
10. Pavlov E.V. Razrabotka metodiki obosnovaniya taktiko-tekhnicheskikh trebovaniy k
robototekhnicheskomu kompleksu mnogorezhimnogo pozharotusheniya [Development of a
methodology for substantiating tactical and technical requirements for a multi-mode fire extinguishing
robotic complex], Tekhnologii grazhdanskoy bezopasnosti [Technologies of Civil
Safety], 2020, Vol. 17, No. 2 (64), pp. 61-67.
11. Robototekhnika: Opredelenie, svoystva i primery ideal'nogo klassa robototekhniki [Robotics:
Definition, properties and examples of an ideal class of robotics], Nauchye Stat'i.Ru – portal
dlya studentov i aspirantov [Scientific Articles.
Date of the last update of the article: 11/29/2023. Available at:
https://nauchniestati.ru/spravka/idealnyj-klass-robototehniki/ (accessed 24 December 2023).
12. Chvarkov S.V. Selivanov A.A., Koval'chuk A.M. Kontseptual'nyy podkhod k postroeniyu
empiricheskikh osnov formirovaniya sistemy robototekhnicheskikh kompleksov voennogo
naznacheniya [Conceptual approach to the construction of empirical foundations for the formation
of a system of military robotic complexes], Vestnik Akademii voennykh nauk [Bulletin
of the Academy of Military Sciences], 2022, No. 1 (77), pp. 109-119.
13. Saati T. Prinyatie resheniy – Metod analiza ierarkhiy [Decision–making - A method of analyzing
hierarchies]. Moscow: Radio i svyaz', 1993, 278 p.
14. Orlov A.I. Organizatsionno-ekonomicheskoe modelirovanie: uchebnik: v 3 ch. Ch. 2:
Ekspertnye otsenki [Organizational and economic modeling: textbook: in 3 part. Part 2: Expert
assessments]. Moscow: Izd-vo MGTU im. N.E. Baumana, 2011, 486 p.
15. Larichev O.I. Teoriya i metody prinyatiya resheniy, a takzhe Khronika sobytiy v Volshebnykh
Stranakh: uchebnik [Theory and methods of decision-making, as well as a chronicle of events
in Magical Countries: Textbook]. 2nd ed. Moscow: Logos, 2002, 392 p.
16. Boev V.D., Sypchenko R.P. Komp'yuternoe modelirovanie. Elementy teorii i praktiki: ucheb.
posobie [Computer modeling. Elements of theory and practice: Study guide]. St. Petersburg:
VAS, 2009.
17. Alyamovskiy A.A. [i dr.]. SolidWorks. Komp'yuternoe modelirovanie v inzhenernoy praktike
[Computer modeling in engineering practice]. St. Petersburg: BKhV-Peterburg, 2012, 800 p.
ISBN 978-5-94157-994-5.
18. Pavlov E.V., Barannik A.Yu. Podkhod k razrabotke robototekhnicheskikh kompleksov,
prednaznachennykh dlya vedeniya avariyno-spasatel'nykh rabot v zonakh razrusheniy s
pozharami [An approach to the development of robotic complexes designed for conducting
emergency rescue operations in areas of destruction with fires], Tekhnologii grazhdanskoy
bezopasnosti [Technologies of Civil Safety], 2023, Vol. 20, No. 4 (78), pp. 45-51.
19. Saati T. Prinyatie resheniy. Metod analiza ierarkhiy [Decision-making. The method of hierarchy
analysis]. Moscow: Radio i svyaz', 1989.
20. Bodin Lawrence, Saul I. Gass. Exercises for Teaching the Analytic Hierarchy Process,
INFORMS Transactions on Education: journal, 2004, January (Vol. 4, No. 2). Archived on
May 21, 2009.
