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INDUSTRY SAFETY, ENVIRONMENTAL PROTECTION
Название Experience in implementation of dynamic mine ventilation control
DOI 10.17580/gzh.2018.08.15
Автор Grishin E. L., Nakaryakov E. V., Trushkova N. A., Sannikovich A. N.
Информация об авторе

Mining Institute, Ural Branch, Russian Academy of Sciences, Perm, Russia:

E. L. Grishin, Researcher, Candidate of Engineering Sciences, aeroevg@mail.ru
E. V. Nakaryakov, Junior Researcher
N. A. Trushkova, Engineer

 

Belaruskali, Soligorsk, Belarus
A. N. Sannikovich, Leading Engineer

Реферат

The international mining experience shows that increasing difficulty of extraction of mineral resources leads to their cost supplement. In this case, the methods to ensure occupational safety become more sophisticated. In particular, it is concerned with the required air supply in compliance with safety standards. The required level of occupational safety using modern automated control and monitoring systems supposes additional costs of implementation and operation. This article describes the unique experience of Belaruskali company in implementing modern automated mine ventilation system, providing new high level of occupational safety at the concurrent reduction in power consumption of ventilation. The scientific research into ventilation processes, introduction of method for dynamic ventilation control based on fresh air requirements in ventilation net sections per shift using automatic regulators, controlled recirculation and unique control algorithms has enabled reduction in energy consumption of mine ventilation systems by 50% of the initial level. At the present time, research and improvement of the dynamic mine ventilation control at Belaruskali company are in progress through testing of the control system of air supply directly to work areas based on real-time monitoring of mine air parameters and prediction of air quality and quantity variation through simulations of mine ventilation operation.

Ключевые слова Automated ventilation control, energy efficiency, required air flow rate calculation, mine air monitoring, ventilation on demand, automated ventilation door, mathematical modeling, simulation ventilation network model, air reuse, controlled recirculation, AeroSet
Библиографический список

1. Hardcastle S. G., Kocsis C. K. The Ventilation Challenge – A Canadian Perspective on Maintaining a Good Working Environment in Deep Mines. Challenges in Deep and High Stress Mining. Perth : Australian Centre for Geomechanics, 2007. pp. 4–9.
2. Hardcastle S., Kocsis C., Li G., Hortin K. Analysing Ventilation Requirements and The Utilization Efficiency of The Kidd Creek Mine Ventilation System. Proceedings 12th U.S. North American Mine Ventilation Symposium. Reno, 2008. pp. 27–36.
3. Hardcastle S., Kocsis C., Lacroix R. Strategic mine ventilation control: a source of potential energy savings. Proceedings of Montreal Energy and Mines. Montreal, 2007. pp. 255–263.
4. Kazakov B. P., Levin L. Yu., Shalimov A. V. Increasing of efficiency of resource-saving ventilation systems for underground mines. Gornyi Zhurnal. 2014. No. 5. pp. 26–28.
5. Kruglov Yu. V., Levin L. Yu., Kiryakov A. S., Butakov S. V., Shagbutdinov R. I. Usage of the system for automatic optimal control of ventilation at Berezovskiy mine of Belaruskali. Gornyi Zhurnal. 2013. No. 6. pp. 61–64.
6. Karpov S. N., Shoikhet L. A. Automated mine ventilation control generation philosophy. Mine Automation : collection of papers. Kiev : Tekhnika, 1966. pp. 17–25.
7. Puchkov L. A., Bakhvalov L. A. Methods and Algorithms of Automated Ventilation Control in Coal Mines. Moscow : Nedra, 1992. 399 p.
8. Puchkov L. A., Temkin I. O. Mining Ventilation: Expert System Based operative control. Proceedings of 23rd APCOM Symposium. Tucson, 1992. pp. 927–939.
9. Abramov F. A., Tyan R. B., Potemkin V. Ya. Mine Ventilation Design. Moscow : Nedra, 1978. 231 p.
10. Kachurin N. M., Vorobev S. A., Levin A. D., Botov F. M. Theoretical substantiation and practical results of underground workings ventilation simulation. Eurasian Mining. 2015. No. 2. P. 35–39. DOI: 10.17580/em.2015.02.09
11. Allen C., Keen B. Ventilation on Demand (VOD) Project – Vale Inco Ltd. Coleman Mine. Proceedings 12th U.S. North American Mine Ventilation Symposium. Reno, 2008. pp. 45–50.
12. Brake D. J. Fire Modelling in Underground Mines using Ventsim Visual VentFIRE Software. Australian Mine Ventilation Conference. Adelaide, 2013. pp. 265–276.
13. Levin L.Yu., Semin M. A. Conception of automated mine ventilation control system and its implementation on Belarusian potash mines. Proceedings of the 16th North American Mine Ventilation Symposium. Colorado, 2017. pp. 17.1–17.8.
14. Kruglov Yu. V., Semin M. A. Improving the algoritm of effective air management in ventilation systems of complex topology. Vestnik PNIPU. Geologiya. Neftegazovoe i gornoe delo. 2013. Vol. 12, No. 9. pp. 106–115.
15. Grishin E.L., Trushkova N.A. Determination of auxiliary fan system parameters and its location in mining. Gornyi informatsionno-analiticheskiy byulleten. 2013. No. 8. pp. 304–307.
16. Mester I. M. Mine ventilation design using personal computers and method of self-adjusting inverse operators. Izvestiya vuzov. Gornyi zhurnal. 1989. No. 3. pp. 56–62.
17. Tyan R. B., Potemkin V. Ya. Mine Ventilation Control. Kiev : Naukova Dumka, 1977. 204 p.
18. Kazakov B.P., Maltsev S.V., Semin M. A. Working parameters optimization technique for several main ventilation installations to design energy-efficient modes of mines of complex topology aeration. Izvestiya vuzov. Gornyi zhurnal. 2017. No. 1. pp. 101–108.
19. Kazakov B. P., Isaevich A. G., Maltsev S. V., Semin M. A. Air distribution and depression survey automated data processing in order to build correct mathematical model of mine ventilation network. Izvestiya vuzov. Gornyi zhurnal. 2016. No. 1. pp. 22–30.
20. Kashnikov A., Levin L. Applying Machine Learning Techniques to Mine Ventilation Control Systems. Proceedings of the 2017 XX IEEE International Conference on Soft Computing and Measurements (SCM). St. Petersburg, 2017. pp. 391–393.
21. Temkin I. O., Do Chi Than, Agabubaev A. Neural network models of control of ventilation systems in mines. Step into the Future – Artificial Intelligence and Digital Economy: Proceedings of I International Scientific–Practical Conference. Moscow : GUI, 2017. pp. 253–259.
22. AerSet. Available at: http://aeroset.net/downloads/docs (accessed: 21.04.2018).
23. Protasenya I. V., Beresnev S. P., Kruglov Y. V., Grishin Y. L., Kiryakov A. S. Unified information and analytical system “AeroNet” for designing and calculating the potash mines ventilation. Gornyi Zhurnal. 2010. No. 8. P. 69–72.

Полный текст статьи Experience in implementation of dynamic mine ventilation control
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