Assessment and management of injury risk of personnel in case of rock failures in coal mines in Kuzbass

Rock failure in coal mines includes roof rock falls. These failures are one of the critical hazards in coal mines in Kuzbass, and can lead to slight and permanent injuries or event to deaths. Although events of different severity traumas because of rock falls reduce in coal mines in Kuzbass, their number is yet abnormally high. The injury risk assessment in different severity traumas of coal mine personnel should use information provided by multifunctional safety systems. Equipment of coal mines with these systems should adhere to the effective normative and legal documents in the Russian Federation. However, risk assessment using the information acquired from the multifunctional safety systems is underinvestigated. Thus, this is a relevant research topic. The article describes the method to determine rock fall probability using the data of geomechanical observations included in the multifunctional safety systems. Then, on the ground of Bayes’ theorem, the failure probability thresholds are estimated; the overrunning of these values brings the risks of slight, permanent and lethal injuries. After that, the personal risk of different severity traumas is calculated.

Kolvakh K. A. Assessment and management of injury risk of personnel in case of rock failures in coal mines in Kuzbass. MIAB. Mining Inf. Anal. Bull. 2023;(3):124-132. [In Russ]. DOI: 10.25018/0236_1493_2023_3_0_124.

K.A. Kolvakh, Cand. Sci. (Eng.), Saint-Petersburg Mining University, 199106, Saint-Petersburg, Russia, e-mail: kaaspmin@yandex.ru, ORCID ID: 0000-0003-0145-9465.

1. Rudakov M. L., Rabota E. N., Kolvakh K. A. Assessment of individual risk of fatal injury to coal mine workers during collapses. Naukovyi Visnyk Natsionalnoho Hirnychnoho Universytetu. 2020, no. 4, pp. 88—93. DOI: 10.33271/2020-4/088.

2. Lapin E. S., Pisetsky V. B., Babenko A. G., Patrushev Y. V. «Mikon-GEO» is a system for operational detection and monitoring of the state of zones of development of hazardous geogasodynamic phenomena during the development of mineral deposits by underground method. Occupational Safety in Industry. 2012, no. 4, pp. 18—22. [In Russ].

3. Lapin S. E., Pisetsky V. B., Babenko A. G., Patrushev Y. V. Methods and results of industrial application of the system of seismic monitoring of the state of the «Mikon-GEO» mountain massif in the process of underground mining of ore and coal deposits. Problems of Subsoil Use. 2016, no. 2, pp. 58—64. [In Russ].

4. Chemezov E. N. Principles of ensuring the safety of mining operations during coal mining. Journal of Mining Institute. 2019, vol. 240, pp. 649. [In Russ]. DOI: 10.31897/pmi.2019.6.649.

5. Rogers W. P., Kahraman M., Drews F. A., Powell K. M., Haight J. M., Yaxue Wang, Baxla K., Sobalkar M.Automation in the mining industry: review of technology, systems, human factors, and political risk. Mining Metallurgy & Exploration. 2019, vol. 36, no. 9. DOI: 10.1007/s42461019-0094-2.

6. Babenko A. G., Malygin P. A. On the requirements for the functional safety of automatic gas protection systems of coal mines. Izvestiya vysshikh uchebnykh zavedenii. Gornyi zhurnal. 2011, no. 1, pp. 100—110. [In Russ].

7. Rudakov M. L., Duka N. E. Modeling acoustic effect exerted on personnel by operating equipment in underground coal mining. MIAB. Mining Inf. Anal. Bull. 2021, no. 10, pp. 165—

179. [In Russ]. DOI: 10.25018/0236_1493_2021_10_0_165.

8. Zuev B. Y. Methodology of modeling nonlinear geomechanical processes in block and layered mountain massifs on models made of equivalent materials. Journal of Mining Institute. 2021, vol. 250, pp. 542—552. [In Russ]. DOI: 10.31897/PMI.2021.4.7.

9. Kolvakh K. A. Assessment of the magnitude of individual risk and the risk of a group accident of coal mine workers in the collapse of rocks. Vestnik of safety in coal mining scientific center. 2021, no. 2, pp. 63—67. [In Russ].

10. Fomin Ya. A., Tarlovskiy G. R. Statisticheskaya teoriya raspoznavaniya obrazov [Statistical theory of pattern recognition], Moscow, Radioisvyaz', 1977, 138 p.

11. Kumar R., Ghosh A. K. Mines systems safety improvement using an integrated event tree and fault tree analysis. Journal of The Institution of Engineers (India): Serues D. 2017, vol. 98, pp. 101—108. DOI: 10.1007/s40033-016-0121-0.

12. Gendler S. G., Gabov V. V., Babyr N. V., Prokhorova E. A. Justification of engineering solutions on reduction of occupational traumatism in coal longwalls. MIAB. Mining Inf. Anal. Bull. 2022, no. 1, pp. 5—19. [In Russ]. DOI: 10.25018/0236_1493_2022_1_0_5.

13. Gendler S. G., Fazylov I. R., Abashin A. N. The results of experimental studies of the thermal regime of oil mines in the thermal method of oil production. MIAB. Mining Inf. Anal. Bull. 2022, no. 6-1, pp. 248—262. [In Russ]. DOI: 10.25018/0236_1493_2022_61_0_248.

14. Kretschmann Y., Plien M., Thi Hoai Nga Nguyen, Rudakov M. L. Effective capacity building in mining through training that expands opportunities in the field of occupational safety management. Journal of Mining Institute. 2020, vol. 242, pp. 248. [In Russ]. DOI: 10.31897/ pmi.2020.2.248.

15. Korshunov G. I., Eremeeva A. M., Drebenstedt C. Justification of the use of a vegetal additive to diesel fuel as a method of protecting underground personnel of coal mines from the impact of harmful emissions of diesel-hydraulic locomotives. Journal of Mining Institute. 2021, vol. 247, pp. 39—47. DOI: 10.31897/PMI.2021.1.5.

16. Smirnyakov V. V., Kargopolova A. P., Smirnyakova V. V., Kabanov E. I., Almosova Y. V. Risk-oriented approach as a tool for improving the quality of training and development of personnel of JSC SUEK-Kuzbass. MIAB. Mining Inf. Anal. Bull. 2022, no. 6-1, pp. 214—229. DOI: 10.25018/0236_1493_2022_61_0_214.

17. Kabanov E. I. Allowable occupational injury risk assessment in coal mining industry. MIAB. Mining Inf. Anal. Bull. 2022, no. 5, pp. 167—180. DOI: 10.25018/0236_1493_2022_ 5_0_167.

18. Hoebbel C. L., Haas E. J., Ryan M. E. Exploring worker experience as a predictor of routine and non-routine safety performance outcomes in the mining industry. Mining Metallurgy & Exploration. 2022, vol. 39, no. 2, pp. 485—494. DOI: 10.1007/s42461-021-00536-2.

19. Eiter B. M., Bellanca J. L. Identify the influence of risk attitude, work experience, and safety training on hazard recognition in mining. Mining Metallurgy & Exploration. 2020, vol. 37, no. 7, pp. 1931—1939. DOI: 10.1007/s42461-020-00293-8.

20. Tumanov M. V., Gendler S. G., Kabanov E. I., Rodionov V. A., Prokhorova E. A. Personal risk index as a promising management tool for human factor in labor protection. MIAB. Mining Inf. Anal. Bull. 2022, no. 6-1, pp. 230—247. [In Russ]. DOI: 10.25018/0236_1493_2022_61_0_230.

21. Shariati S. Underground mine risk assessment by using FMEA in the presence of uncertainty. Decision Science Letters. 2014, vol. 3, no. 3, pp. 295—304. DOI: 10.5267/j.dsl.2014.4.002.

22. Bellanca J. L., Eiter B., Hrica J., Weston R., Weston T. Risk perception with and without workers present in hazard recognition images. Advances in Intelligent Systems and Computing. 2020, pp. 261—273. DOI: 10.1007/978-3-030-20148-7_24.

23. Burgess-Limerick R. Human-Systems Integration for the safe implementation of automation. Mining Metallurgy & Exploration. 2020, vol. 37, no. 6, pp. 1799—1806. DOI: 10.1007/ s42461-020-00248-z.

24. Kuzhomberdieva G. I., Burakov D. P., Garina M. I. The use of the Bayes formula in evaluating the implementation of the practices of the SMMI model. Software & Systems. 2017, vol. 30, no. 1, pp. 17—23. [In Russ].

25. Matsimbe J., Ghambi S., Samson A. Application of the bowtie method in accident analysis: Case of Kaziwiziwi coal mine. Engineering and Technology Quarterly Reviews. 2020, vol. 3, no. 2, pp. 127—136. DOI: 10.5281/zenodo.4387214.

26. Balovtsev S. V., Skopintseva O. V., Kulikova E. Yu. Hierarchical structure of aerological risks in coal mines. Sustainable Development of Mountain Territories. 2022, vol. 14, no. 2, pp. 276—285. [In Russ]. DOI: 10.21177/1998-4502-2022-14-2-276-285.