GEOINFOMATICS
Original Paper
UDC 622.013.3 © V.V. Agafonov, Е.V. Zaitseva, V.V. Yakheev, V.V. Snigirev, A.A. Gurkov, 2022
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2022, № 2, pp. 57-60
DOI: http://dx.doi.org/10.18796/0041-5790-2022-2-57-60
Title
Simulation modeling of functional structures of technological systems of mining enterprises
Authors
Agafonov V.V.1, Zaitseva Е.V.2, Yakheev V.V.1, Snigirev V.V.1, Gurkov A.A.1
1National University of Science and Technology "MISIS" (NITU "MISIS"), Moscow, 119049, Russian Federation
2Safety Saint Petersburg University of the State Fire Service of the Ministry of Emergency Situations, Saint Petersburg, 190000, Russian Federation
Authors Information
Agafonov V.V., Doctor of Engineering Sciences, Professor of the Department of "Geotechnologies of Subsurface Development" Mining Institute, e-mail: msmu-prpm@yandex.ru
Zaitseva Е.V., Doctor of Engineering Sciences, Associate Professor of the Department of "Automated Control Systems" Mining Institute, e-mail: msmu-prpm@yandex.ru
Yakheev V.V.,PhD (Engineering), Associate Professor of the Department of Mine Rescue and Explosion Safety Saint Petersburg University of the State Fire Service of the Ministry of Emergency Situations of the Russian Federation, e-mail: yakvaleri@yandex.ru
Snigirev V.V., Postgraduate student of the Department of "Geotechnologies of Subsoil Development" Mining Institute, e-mail: msmu-prpm@yandex.ru
Gurkov A.A., Postgraduate student of the Department of "Geotechnologies of Subsoil Development" Mining Institute, e-mail: msmu-prpm@yandex.ru
Abstract
The procedure of optimization of functional structures of technological systems of mining enterprises with the use of simulation modeling is proposed. In the simulated system it is proposed to distinguish two classes of fundamental production processes: continuous cycle production processes - the process of their simulation is implemented using the discrete event approach;
- production processes of discrete and organizational and management cycle - the process of their modeling is implemented using agent-based combined approach (algorithmic on weighted graphs and elements of system dynamics). The functional structure of the proposed simulation model can adequately simulate the required number of appropriate levels of the hierarchical stochastic structure of a particular simulation object and take into account all the technical and technological nesting of their states, taking into account the system dynamics, which allows to objectively and reliably reflect the behavioral side of complex technological systems of mining enterprises with the identification of "bottlenecks" and development of preventive measures to eliminate them.
Keywords
Mining enterprise, Functional structure, Technological system, Simulation modeling, Discrete event approach, System dynamics.
References
1. Gets A.K., Onika S.G. & Khalyavkin F.G. Simulation modeling of mining processes.Mining Mechanics and Engineering, 2016, (3), pp. 22-25. (In Russ.).
2. Kuznetsov I.S. Simulation modeling of excavator-automotive complex / Proceedings of X All-Russian, scientific - practical conference of young scientists with international participation "Young Russia", 2018, 5 p. (In Russ.).
3. Devyatkov V.V.. Experience in system analysis of transport systems using the method of simulation modeling, Vestnik NTSBZhD, 2017, (1), pp. 18-28. (In Russ.).
4. Starodubov A.N., Zinoviev V.V., Beresnev М.V. et al. Simulation modeling system of mining works. Ugol?, 2016, (2), pp. 20-24. (In Russ.). DOI: 10.18796/0041-5790-2016-2-20-24.
5. Kuznetsov I.S. Simulation modeling of unmanned open-underground geotechnology taking into account downtime of mining machines / Materials of the All-Russian Scientific and Practical Conference on Simulation Modeling and its Application in Science and Industry "IMMOD-2019". Ekaterinburg, 2019, pp. 445-450. (In Russ.).
6. Beklaryan L. A., Akopov A. S., Beklaryan A. L. & Saghatelyan A. K. Agent-based simulation modeling for regional ecological-economic systems. A case study of the Republic of Armenia. Machine Learning and Data Analysis, 2016, Vol. 2, (1), pp. 104-115.
7. AnyLogic: simulation modeling for business [Electronic resource]. Available at: https://www.anylogic.ru/ (accessed 15.01.2022). (In Russ.).
8. Pamperla M. & Ferguson K. Simulation learning and the game. Moscow, DMK Press Publ., 2020, 372 p. (In Russ.).
For citation
Agafonov V.V., Zaitseva Е.V., Yakheev V.V., Snigirev V.V. & Gurkov A.A. Simulation modeling of functional structures of technological systems of mining enterprises. Ugol’, 2022, (2), pp. 57-60. (In Russ.). DOI: 10.18796/0041-5790-2022-2-57-60.
Paper info
Received December 9, 2021
Reviewed December 23, 2021
Accepted January 18, 2022
