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Principles for selecting, training and maintaining skills for safe work of personnel for mining industry enterprises

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Category: Content №2 2021

Last Updated on 29 April 2021

Published on 30 November -0001

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Authors:

S.G.Gendler, orcid.org/0000-0002-7721-7246, Saint Petersburg Mining University, Saint Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M.V.Tumanov, orcid.org/0000-0003-3795-1005, Saint Petersburg Mining University, Saint Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

L.Yu.Levin, orcid.org/0000-0003-0767-9207, Mining Institute of the Ural Branch of the Russian Academy of Sciences, Perm, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021, (2): 156 - 162

https://doi.org/10.33271/nvngu/2021-2/156

Abstract:

Purpose. To reduce the risks of accidents and injuries on the basis of vocational selection of the stuff for work in the mining industry, as well as training and maintaining their skills of safe work.

Methodology. To solve the problems considered in the article, the following were used: analysis of information from scientific and technical sources on the influence of psychophysiological factors on occupational injuries; correlation-regression analysis of statistical data on occupational injuries; experimental research on efficiency of miners work in laboratory and mine conditions at various physical activities.

Findings. The article substantiates the role and necessity of conducting professional psychophysiological selection procedures for mining workers, monitoring their functional state. The methodology of professional psychophysiological selection procedures, innovative training and behavioral audit is proposed in order to increase the injury protection of workers. Innovative ways of training and maintaining the safe working skills of miners are explored. The role of modern gadgets with installed applications for assessing the severity of physical work in terms of heart rate is investigated.

Originality. The novelty of this study is to substantiate a comprehensive approach to the preventive precautions against occupational injuries in the mining industry at the stages of personnel selection, training and further control of the consequences of production activities.

Practical value. Principles are developed for selecting, training, and maintaining skills for the safe work of personnel for the mining industry.

Keywords: human factor, functional state, professional selection, personnel training, injury risk, accident prevention, behavioral audit

References.

1. Rae, A., & Provan, D. (2019). Safety work versus the safety of work. Safety Science, 111, 119-127. https://doi.org/10.1016/j.ssci.2018.07.001.

2. Cherepovitsyn, A.E., Ilyinova, A.A., & Evseeva, O.O. (2019). Stakeholders management of carbon sequestration project in the state business society system. Journal of the Mining Institute, 240, 731-742. https://doi.org/10.3189/PMI.2019.6.731.

3. Fainburg, G.Z. (2018). The occupational safety and health system: key problems and solutions. Human Resources Man-Agement, 9(3), 58-65. https://doi.org/10.29141/2218-5003-2018-9-3-10.

4. Filimonov, V.A., & Gorina, L.N. (2019). Development of an occupational safety management system based on the process approach. Journal of the Mining Institute, 235, 113-122. https://doi.org/10.31897/PMI.2019.1.113.

5. Gridina, E.B., Pasynkov, A.V., & Andreev, R.E. (2019). Comprehensive approach to managing the safety of miners in coal mines. In Innovation-Based Development of the Mineral Resources Sector: Challenges and Prospects: Proceedings of the XITH Russian-German Raw Materials Conference, (pp. 85-94). Potsdam, Germany. Retrieved from https://iopscience.iop.org/article/10.1088/1757-899X/560/1/012067.

6. Gridina, E.B., & Andreev, R.E. (2017). Mathematical modeling based on CFD method of wind currents in combined working out of the Olenegorsky pit in the FlowVision software package. International Review on Modelling and Simulations, 10(1), 62-69. https://doi.org/10.15866/iremos.v10i1.11101.

7. Kovshov, S., Istomin, R., Nikulin, A., & Sotiriu, A. (2014). Industrial injuries appraisal in mines of JSC SUEK Kuzbass. Advanced Materials Research, 1001, 414-420. https://doi.org/10.4028/www.scientific.net/AMR.1001.414.

8. Kretschmann, J., Plien, M., Nguyen, T.H.N., & Rudakov,M. (2020). Effective capacity building by empowerment teaching in the field of occupational safety and health management in mining. Journal of Mining Institute, 242(2), 248-256. https://doi.org/10.31897/PMI.2020.2.248.

9. Kuletsky, V.N., Zhunda, S.V., & Dovgenok, A.S. (2020). Organization of ensuring the safety of production processes in a coal mine in the face of an increase in the capacity of mining equipment. Ugol, 2, 35-40. https://doi.org/10.187796/0041-5790-2020-2-35-40.

10. Litvinenko, V.S. (2019). Digital economy as a factor in the technological development of the mineral sector. Natural Resources Research, 28(113), 1-21. https://doi.org/10.1007/s11053-019-09568-4.

11. Litvinenko, V.S., Tsvetkov, P.S., & Molodtsov, K.V. (2020). The social and market mechanism of sustainable development of public companies in the mineral resource sector. Eurasian Mining, 1, 36-41. https://doi.org/10.17580/em.2020.01.07.

12. Artemiev, V.B., Lisovskiy, V.V., Tsinoshkin, G.M., & Kravchuk, I.L. (2018). SUEK on the way to zero traumatism. Coal, 8(1109), 71-75. https://doi.org/10.18796/0041-5790-2018-8-71-75.

13. Ivanov, Yu.M. (2018). Comprehensive labour safety at the enterprises of SUEK-KUZBASS. Mining Information and Analytical Bulletin, 11(49), 326-334. https://doi.org/10.25018/0236-1493-2018-11-49-326-334.

14. Musharraf, M., Khan, F., & Veitch, B. (2019). Modeling and simulation of offshore personnel during emergency situations. Safety Science, 111, 144-153. https://doi.org/10.1016/j.ssci.2018.07.005.

15. Nowrouzi-Kia, B., Sharma, B., Dignard, C., Kerekes, Z., Dumond, J., Li, A., & Larivire, M. (2017). Systematic review: Lost-time injuries in the US mining industry. Occupational Medicine, 67, 442-447. https://doi.org/10.1093/occmed/kqx077.

16. Gendler, S.G., Grishina, A.M., & Kochetkova, E.A. (2017). Optimization of expenditures for labour protection at deep mining. Eurasian Mining, 2, 35-39. https://doi.org/10.17580/em.2017.02.09.

17. Kozlov, G.V. (2017). Problems of professional suitability of miners to work as part of auxiliary mine rescue teams. Industrial safety of enterprises of the mineral resource complex in the XXI century. Vol. 1. Mining Information and Analytical Bulletin, 4(5/1), 366-373.

18. Pika, A., ter Hofstede, A.H.M., Perrons, R.K., Grossmann, G., Stumptner, M., & Cooley, J. (2021). Using big data to improve safety performance: an application of process mining to enhance data visualisation. Big Data Research, 25, 100210. https://doi.org/10.1016/j.bdr.2021.100210.

19. Ballesteros, M.F., Sumner, S.A., Law, R., Wolkin, A., & Jones, C. (2020). Advancing injury and violence prevention through data science. Journal of Safety Research, 73, 189-193. https://doi.org/10.1016/j.jsr.2020.02.018.

20. Li, J., Qin, Y., Yang, L., Wang, Z., Han, K., & Guan, C. (2021). A simulation experiment study to examine the effects of noise on miners safety behaviour in underground coal mines. BMC Public Health, 21(1), 324. https://doi.org/10.1186/s12889-021-10354-2.

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