Journals →  Gornyi Zhurnal →  2021 →  #8 →  Back

ArticleName A new learning and training technology for application of selfcontained breathing apparatus
DOI 10.17580/gzh.2021.08.12
ArticleAuthor Babkov V. S., Kosterenko V. N., Putin S. B., Romanov A. D.

Second Breath, LLC, Tambov, Russia:

V. S. Babkov, Senior Expert
S. B. Putin, Director of Advance, Candidate of Engineering Sciences, Doctor of Economic Sciences,
A. D. Romanov, Chief Designer, Candidate of Engineering Sciences

SUEK, JSC, Moscow, Russia:

V. N. Kosterenko, Head of Industrial Emergency Control Department, Candidate of Physical and Mathematical Sciences


People guard their respiratory organs during fire extinguishing and life-saving using self-contained breathing apparatuses (SCBA) and self-rescue devices. Learning and training of skills of using SCBA and self-rescuers have certain deficiencies. Despite detailed rules and requirements provided by the existing specification documents, SCBA training and mastering lack efficiency. Regarding the prevailing causes of this situation, first, the formalist approach to the specification compliance often consists in simple ticking on the plus side of the learning and training record and, second, there is a notorious ‘human factor’. In particular, in the course of massive learning and training, it is impossible to trace actions or psychological and physical response of an individual without attending each trainee with a personal and specially trained supervisor. The quality of training is however not guaranteed in this case. There is a high probability that a user unacquires the required skill and fails to use SCBA correctly in case of an actual accident. The peculiarities of learning and training are discussed, and the new technology and outfit are proposed. The technology and the recording simulator enable learning and training of people using SCBA in their work or in emergency response, ensures the maximum control and improves the unbiased appraisal of physical capabilities of personnel to enable correct selection and managerial decision-making. The information obtained using the proposed technology can make it possible to undertake anticipatory estimation and analysis of various performance scenarios, plans and routes of escape, evacuation and elimination of possible emergencies.

keywords Self-contained breathing apparatus, use skills, learning, external respiration simulator, Breathing Certificate, respiratory system protection, evacuation, breather, self-rescuer, physical education, electronic self-rescuer simulator, wireless data transfer

1. Gudkov S. V., Dvoretskiy S. I., Putin S. B., Tarov V. P. Self-contained breathing apparatuses and design baseline. Teaching aid. Moscow : Mashinostroenie, 2008. 188 p.
2. Didenko N. S. Regenerative breathers for mine rescuing. 2nd revised and enlarged edition. Moscow : Nedra, 1990. 158 p.
3. Gendler S. G., Grishina A. M. Justification of the risk-based approach to improving of coal mines personnel educational system in rules and regulations for workers' protection. Izvestiya Tulskogo gosudarstvennogo universiteta. Nauki o Zemle. 2018. No. 4. pp. 42–50.
4. Makarov V. M. Simulator for the development of the special endurance in the sport and health-improving tourism and mountaineering. Izvestiya Tulskogo gosudarstvennogo universiteta. Fizicheskaya kultura. Sport. 2013. No. 1. pp. 122–127.
5. Stepanov Yu. A., Burmin L. N. Security of mining workers with Google VR. Vestnik Kemerovskogo gosudarstvennogo universiteta. Ser. Biologicheskie, tekhnicheskie nauki i nauki o Zemle. 2017. No. 3(3). pp. 60–64.
6. Zemskov A. N., Liskova M. Yu. Ways of providing safe working conditions of miners on the basis of automation controling productions. Izvestiya Tulskogo gosudarstvennogo universiteta. Nauki o Zemle. 2018. No. 1. pp. 82–88.
7. Pasynkov A. V., Kurta I. V. A probabilistic approach to reducing injuries to miners in a coal open-pit. GIAB. 2019. Special issue 7. Industrial safety of enterprises of mineral resource complex in the XXI century-2. pp. 141–151.
8. Korshunov G. I., Nikulin A. N., Romanov A. F., Dolzhikov I. S. Personal control device activities of employee during working shift. GIAB. 2018. Special issue 49. Underground coal mining in the 21st century-2. pp. 418–431.
9. Kozlov G. V. Problems of professional fitness miners to work as part of subsidiary mountain rescue team. GIAB. 2017. Special issue 5-1. Industrial safety of enterprises of mineral resource complex in the XXI century-1. pp. 366–373.
10. Ahlers H. Loss of Start-Up Oxygen in CSE SR-100 Self-Contained Self-Rescuers. NIOSH Respirator User N otice. Centers for Disease Control and Prevention, 2012. Available at: (accessed: 15.06.2021).
11. Coffey C., Murray D., Palya F. Personal Protective Equipment Conformity Assessment Studies and Evaluations. Point-of-Use Assessment for Self-Contained Self-Rescuers Randomly Sampled from Mining Districts: First Phase. Sample Period: May 2009 to July 2010. Centers for Disease Control and Prevention, 2017. Available at: (accessed: 15.06.2021).
12. Talaśka Z. The Construction of a Breathing Simulator for Research of the Diving Breathing Apparatus in Compliance with the PN-EN 250:2014 Standard. Scientific Journal of Polish Naval Academy. 2016. Vol. 206, Iss. 3. pp. 121–130.
13. Hisashi Yuasa, Mikio Kumita, Takeshi Honda, Kazushi Kimura, Kosuke Nozaki et al. Breathing simulator of workers for respirator performance test. Industrial Health. 2015. Vol. 53. pp. 124–131.
14. Paštěka R., Forjan M. Actively Breathing Mechanical Lung Simulator Development and Preliminary Measurements. Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC). Singapore : Springer Nature, 2018. Vol. 65. pp. 751–754.
15. Babkov V. S., Kosterenko V. N., Putin S. B. Research of breathing in a mine self-rescuer with repeated interruptions. Ugol. 2020. No. 12. pp. 17–22.
16. Babkov V. S., Kosterenko V. N., Putin S. B. Application of the latest human external respiration simulator to increase the safety of industrial personnel. Ugol. 2020. No. 11. pp. 29–35.
17. Pašteka R., Forjan M., Drauschke A. Comparison of Mathematical and Controlled Mechanical Lung Simulation in Active Breathing and Ventila ted State. IFAC-PapersOnLine. 2018. Vol. 51, Iss. 6. pp. 42–47.
18. Calay R. K., Kurujareon J., Holdø A. E. Numerical simulation of respiratory flow patterns within human lung. Respiratory Physiology & Neurobiology. 2002. Vol. 130, Iss. 2. pp. 201–221.
19. De Asmundis R. Modeling, Programming and Simulations Using LabVIEW™ Software. Rijeka : InTech, 2011. 306 p.
20. Heili-Frades S., Peces-Barba G., Rodríguez-Nieto M. J. Design of a Lung Simulator for Teaching Lung Mechanics in Mechanical Ventilation. Archivos de Bronconeumolo gía. 2007. Vol. 43, Iss. 12. pp. 674–679.

Language of full-text russian
Full content Buy