Digitalization of industrial safety management systems in mining

Currently, one of the main directions in mining industry development is digital transformation associated with digital technologies implementation in various processes. Digital technologies can significantly reduce the use of resources to complete production processes, reduce the number of errors in routine processes, help staff solve complex tasks in a limited time, and increase security. The article provides an analysis of digital technologies used in mining enterprises of the Russian Federation. This includes widely used positioning systems, electronic document management, electronic information and educational environments, robotic equipment, a system for monitoring the wearing of personal protective equipment, etc. And also less common — drones, VR and AR-technologies, exoskeletons. Examples of complex solutions currently available on the market are given. Such solutions allow systemically digitalizing various processes, integrating them into the overall enterprise management system. Many huge mining companies have already implemented and are successfully using them to improve their performance and safety. The main positive aspects of digital technologies implementation, as well as limitations and main difficulties are identified. The main promising directions in the digitalization of industrial safety management system are identified, the implementation of which will allow switching to the “digital mine” model in the near future.

Keywords: digitalization, information technology, mining, industrial safety, industrial safety management system, digital mine.
For citation:

Zinovieva O.M., Kuznetsov D.S., Merkulova A.M., Smirnova N.A. Digitalization of industrial safety management systems in mining. MIAB. Mining Inf. Anal. Bull. 2021;(2—1):113-123. [In Russ]. DOI: 10.25018/0236-1493-2021-21-0-113-123.

Acknowledgements:
Issue number: 2
Year: 2021
Page number: 113-123
ISBN: 0236-1493
UDK: 622, 658.5, 614.8
DOI: 10.25018/0236-1493-2021-21-0-113-123
Article receipt date: 04.12.2020
Date of review receipt: 25.12.2020
Date of the editorial board′s decision on the article′s publishing: 01.02.2021
About authors:

Zinovieva O.M.1, Cand. Sci. (Eng.), Assistant Professor, Assistant Professor, e-mail: ozinovieva@yandex.ru;
Kuznetsov D.S.1, Senior Lecturer, e-mail: kuznetsov.ds@misis.ru;
Merkulova A.M.1, Cand. Sci. (Eng.), Assistant Professor, Assistant Professor, e-mail: annamerkulova@yandex.ru;
Smirnova N.A.1, Cand. Sci. (Eng.), Assistant Professor, Assistant Professor, e-mail: natalyaas@bk.ru;
1 NUST «MISiS», Moscow, Russia.

 

For contacts:
Bibliography:

1. Melnikova D.A., Alekina E.V., Yagovkin G.N., Voropaeva L.V. Human factor as an object of ensuring the safety of life. Bezopasnost’ zhiznedeyatel’nosti. 2019, no. 4, pp. 18—22. [In Russ].

2. Vorobyeva O.V. Influence of the human factor on the risk of accidents and injuries in the mining industry. Occupational Safety in Industry. 2010, no. 8, pp. 67—70. [In Russ].

3. Digitalization in the mining industry. Industry 4.0. Materials of the international forum 24—25 October 2019 [Electronic resource] — access Mode: URL: — https://tuugmk.com/upload/NPF-journal.pdf.

4. Rct-global. Digital transformation in the mining industry, 2020. [Electronic resource] — access Mode: URL: — RCT_Digitisation-in-Mining-paper_SBBK1120001_ RU_V8_LR. Pdf.

5. Lyutyagin D.V., Yashin V.P., Zabaykin Yu.V., Yakunin M.A. Osobennosti i tendentsii tsifrovoy transformatsii rossiyskoy gornodobyvayushchey otrasli [Features and trends of digital transformation of the Russian mining industry] Economy: yesterday, today, tomorrow. 2019. T. 9. no. 7—1. Pp. 147—159. [In Russ].

6. Rilnikov A.G., Pytalev I.A. Digital transformation of the mining industry: technical solutions and technological challenges. Izvestiya TulGU. Nauki o Zemle. 2020. Issue. 1. Pp. 470—479. [In Russ].

7. Shalimova A.V., Filin A.E., Davydenko A.A. Analysis of evaluation results of occupational health, industrial and environmental safety management systems at enterprises of mining and smelting complex. Topical Issues of Rational Use of Natural Resources 2019, 2020, 1, pp. 100—105. https://doi.org/10.1201/9781003014577.

8. Rybak J., Ivannikov A., Kulikova E., Żyrek T. Deep excavation in urban areas — defects of surrounding buildings at various stages of construction. MATEC Web Conf. Vol.146, 2018. https://doi.org/10.1051/matecconf/20181460201.

9. Klebanov A.F. Automation and robotization of open pit mining: experience of digital transformation. Russian Mining Industry. 2020. no. 1. Pp. 8—11. [In Russ].

10. Skopintseva O.V., Balovtsev S.V. Air quality control in coal mines based on gas monitoring statistics. MIAB. Mining Inf. Anal. Bull. 2021;(1):78—89. [In Russ]. DOI: 10.25018/0236-1493-2021-1-0-78-89.

11. Kulikova E. Yu., Balovtsev S.V. Risk control system for the construction of urban underground structures. IOP Conference Series: Materials Science and Engineering, 2020, 962(4), 042020. https://doi.org/10.1088/1757—899X/962/4/042020.

12. Balovtsev S.V., Shevchuk R.V. Geomechanical monitoring of mine shafts in difficult ground conditions. Mining Informational and Analytical Bulletin. 2018, no. 8, pp. 77—83. DOI: 10.25018/0236-1493-2018-8-0-77-83. [In Russ].

13. Ganova S.D., Skopintseva O.V., Isaev O.N. On the issue of studying the composition of hydrocarbon gases of coals and dust to predict their potential hazard. Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering. 2019, t. 330, no. 6, pp. 109—115. [In Russ].

14. Musina V.R., Golovko I.V., Shermatova S. Type of crossing of coal waste dumps by geodynamical dangerous zones. MIAB. Mining Inf. Anal. Bull. 2020;(6—1):233—241. [In Russ]. DOI: 10.25018/0236-1493-2020-61-0-233-241.

15. Pleshko M., Kulikova E., Nasonov A. Assessment of the technical condition of deep mine shafts. MATEC Web of Conferences, 2018, 239, 01021. https://doi.org/10.1051/matecconf/201823901021.

16. Dolgui A. et al. Data Mining-Based Prediction of Manufacturing Situations // IFACPapersOnLine. 2018. Т. 51. no. 11. Pp. 316—321.

17. Bakhtadze N., Suleykin A. Industrial digital ecosystems: Predictive models and architecture development issues. Annual Reviews in Control. 2020.

18. Grishin V. Yu., Bulaeva N.M., Kolikov K.S., Batugin A.S., Lubenskaya N.A. Digital technologies for forecasting of geodynamic processes and phenomena combined with mine closure. Monitoring. Science and technology. 2020, no. 2 (44), pp. 12—18. DOI: 10.25714/ MNT.2020.44.002. [In Russ].

Our partners

Подписка на рассылку

Раз в месяц Вы будете получать информацию о новом номере журнала, новых книгах издательства, а также о конференциях, форумах и других профессиональных мероприятиях.