Conceptual aspects of organizing the operation of mobile components of environmental monitoring systems
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematika, mehanika, fizika, Tome 16 (2024) no. 2, pp. 12-25 Cet article a éte moissonné depuis la source Math-Net.Ru

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To solve the problems of monitoring large remote areas and regions, it is advisable to use groups of mobile robots as mobile components of monitoring systems. The article discusses conceptual issues of organizing the autonomous functioning of such groups of robots. The effectiveness of solving monitoring problems by a group of mobile robots is largely determined by its composition. The paper proposes an approach to solving the problem of group control of mobile robots and, in particular, solving the subtask of forming the composition of groups of mobile robots for monitoring large areas, based on the principles of self-organization of technical systems, technologies of multi-agent systems and a distributed registry. The study demonstrates that to solve this problem, intelligent multi-agent systems can be used, which include task agents and mobile robot agents. The application of the proposed approach makes it possible to form, if not optimal, then close to optimal, a group composition capable of effectively solving the problems of monitoring large areas.
Keywords: monitoring system, mobile component, multi-agent system, principles of self-organization, distributed registry
Mots-clés : group of mobile robots, optimal group composition.
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S. G. Kapustyan; E. V. Melnik. Conceptual aspects of organizing the operation of mobile components of environmental monitoring systems. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematika, mehanika, fizika, Tome 16 (2024) no. 2, pp. 12-25. http://geodesic.mathdoc.fr/item/VYURM_2024_16_2_a1/

[1] Katun E.S., “The Main Types of Robots and the Directions of their Further Development”, Proc. XXXVIII International Scientific and Practical Conference “Scientific Discoveries 2018”, 2018, 60–64 (in Russ.)

[2] Polyakov R.Yu., Efimov S.V., Yatsun S.F., “Robot-Inscope for Environmental Monitoring”, Vestnik Voronezhskogo Instituta GPS MChS Rossii, 2015, no. 3(15), 48–51 (in Russ.)

[3] R. Bogue, “The role of robots in environmental monitoring”, Industrial Robot, 50:3 (2023), 369–375 | DOI

[4] David B., Robots for Environmental Monitoring: Effective Tools for Nature Control and Protection

[5] Shevchenko O.Yu., Borichevskiy A.B., “The use of unmanned aerial vehicles to monitor the use of territories”, Ekonomika i ekologiya territorial'nykh obrazovaniy, 2015, no. 3, 150–152 (in Russ.)

[6] Inzartsev A.V., Boreyko A.A., Borovik A.I., Vaulin Yu.V., Kamornyy A.V., L'vov O.Yu., Matvienko Yu.V., Sidorenko A.V., Sporyshev M.S., Shcherbatyuk A.F., “Experience of the Ecological Investigation in Zolotoy Rog Bay using AUV of MT-2010 Type”, Ecological Systems and Devices, 2010, no. 12, 38–45 (in Russ.) | DOI

[7] Beresnev P.O., Zezyulin D.V., Tyugin D.Yu., Makarov V.S., Kuzin V.D., Kolenik M.R., Belyakov V.V., Kurkin A.A., “Development of a Group of Mobile Robots for Environmental Monitoring”, Transportnye sistemy, 2018, no. 2(8), 19–24 (in Russ.) | DOI

[8] Safarov D.I., Efimov S.V., Yatsun S.F., “Monitoring of the Hydrosphere by a Group of Robots”, Information technology and Nanotechnology, TNT-2021, Collection of works based on the materials of the VII International Conference and Youth School (Samara, September 20-24, 2021), v. 3, Samara, 2021, 33753 (in Russ.)

[9] Kulichenko A.D., Smirnova E.U., “Possible Application of Heterogeneous Robot Group to Search and Localization of Ionizing Radiation Sources”, Extreme Robotics, 1:1(29) (2018), 171–179 (in Russ.)

[10] Kalyaev I.A., Gayduk A.R., Kapustyan S.G., Models and Algorithms of Collective Management in Groups of Robots, OOO Izdatel'skaya firma “Fiziko-matematicheskaya literatura”, M., 2009, 280 pp. (in Russ.)

[11] Kaliaev I.A., Gaiduk A.R., Kapustyan S.G., “Self-Organizing Systems of Group Control by Intelligent Robots”, Mekhatronika, Avtomatizatsiya, Upravlenie, 2010, no. 12, 47–52 (in Russ.)

[12] Popov S., Krasheninnikov A., Chuvatov M., “The Study of the Survey Algorithm of the Heterogeneous Group of Autonomous Mobile Robots”, Robotics and Technical Cybernetics, 7: 4 (2019), 278–290 (in Russ.) | DOI

[13] Diveev A.I., Shmalko E.Yu., “Application of the Evolutionary Algorithm of “Gray Wolf” to Solve the Problem of Optimal Area Monitoring by a Group of Robots”, Cloud of science, 5:4(63) (2018), 8–648 (in Russ.) | MR

[14] Pshikhopov V.Kh., Gaiduk A.R., Medvedev M.Yu., Gontar D.N., Solovjev V.V., Martyanov O.V., “Conept of a Robot Group Calculation”, Izvestiya SFedU. Engineering Sciences, 2020, no. 1(211), 6–16 (in Russ.) | DOI

[15] M.V. Orda-Zhigulina, E.V. Melnik, D.Y. Ivanov et al., “Combined Method of Monitoring and Predicting of Hazardous Phenomena”, Software Engineering Methods in Intelligent Algorithms, CSOC 2019, Advances in Intelligent Systems and Computing, 984, ed. Silhavy R., Springer, Cham, 2019, 55–61 | DOI

[16] Orda-Zhigulina M.V., Melnik E.V., Ivanov D.Ya., Rodina A.A., Orda-Zhigulina D.V., “Combined Approach to Building Monitoring Facilities of Dangerous Phenomenon”, Izvestiya Tula State University (Izvestiya TulGU), 2018, no. 9, 107–116 (in Russ.)

[17] Gorelova G.V., Mel'nik E.V., Orda-Zhigulina M.V., Kapustyan S.G., System analysis in design and management, Proc. XXVI International Scientific and Practical Conference, in 3 parts (October 13-14, 2022), v. I, POLITEKh-PRESS Publ., Saint-Petersburg, 2022, 205–215 (in Russ.)

[18] Pomazkova E.E., “Comparative analysis of blockchain and alternative distributed ledger technologies”, Mezhdunarodnyy zhurnal gumanitarnykh i estestvennykh nauk, 2019, no. 4-2, 43–50 | DOI

[19] Melnik E.V., Orda-Zhigulina M.V., “A Method for Ensuring the Functioning of Mobile Components for Monitoring and Diagnostic Systems Based on a Distributed Registry”, Izvestiya Tula State University (Izvestiya TulGU), 2023, no. 2, 36–41 (in Russ.)

[20] Dukkardt A.N., Anchekov M.I., Nagoev Z.V., Zammoev A.U., Nagoeva O.V., Hamukov Yu.Kh., “Development of a distributed search architecture for optimization tasks”, News of the Kabardino-Balkarian Scientific Center of the RAS, 2015, no. 1(63), 16–22 (in Russ.)

[21] “Multi-agent Neurocognitive Architecture of an Intelligent Agent Pattern Recognition System / Z. Nagoev, I. Pshenokova, K. Bzhikhatlov et al.”, Procedia Computer Science, 213 (2022), 504–509 | DOI

[22] Nagoev Z.V., Pshenokova I.A., Kankulov S.A., Atalikov B.A., Airan A.A., “Multi-agent Search Formal Model for an Intelligent Agent Optimal Behavior Plan Based on Distributed Neurocognitive Architectures Self-Organization”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 3, 21–31 (in Russ.) | DOI

[23] Ivanov D.Ya., Shabanov V.B., “Artificial Neural Networks in Micro-Robot Groups”, Vestnik nauki i obrazovaniya, 2019, no. 20-2 (74), 23–29 (in Russ.)

[24] Kosarev N.I., “The Production Model of Knowledge Representation in Decision Support Systems”, Vestnik Sibirskogo yuridicheskogo instituta FSKN Rossii, 2012, no. 2(13), 136–140 (in Russ.)

[25] Talipov N.G., Katasyev A.S., Kirpichnikov A.P., “Methods for constructing and evaluating a fuzzy production model of assignment distribution in the Roskomnadzor electronic document management system”, Vestnik Kazanskogo tekhnologicheskogo universiteta, 20:2 (2017), 100–106 (in Russ.)

[26] I.A. Kalyaev, A.A. Dyachenko, L.Zh. Usachev, S.G. Kapustyan, “Multiagent Management of Smart Internet Production”, Proceedings of 2018 Global Smart Industry Conference (GloSIC) (Chelyabinsk, Russia, 2018), IEEE, 2018, 1–8 | DOI