Physical and Chemical Geotechnologies

Purpose

Develop a tool for assessing the state of technological schemes of coal mines, based on the study of the real state of the technological scheme, taking into account the hierarchical links between the elements of the system.

Methodology

An integrated research method was used, including statistical analysis to establish the relationship between the technical potential indicator and a number of independent indicators of mine production and economic activity, the Pareto multi-criteria method for assessing the level of potential and the ability of the coal mine to innovate. The methods of discrete mathematics on network models are used to optimize the parameters of operation and streamline the structure of production relations.

Findings

Established patterns of formation of production and economic activities of coal mines, taking into account the level of concentration of mining operations, labor productivity, the rate of progress of the line of stope, the cost of finished products. Mathematical models describing the “technical potential” indicator were developed, based on a study of the dependencies between this indicator and the mining and geological and technological indicators of the mine. It has been proven that reproducing the optimal values of the parameters of the technological scheme means the full realization of the economic potential of the mine, that is, the maximum achievable (reference) level, since compliance with this level makes the technological scheme of the mine susceptible to innovation. A model is proposed for studying the effectiveness of technological schemes of coal mines in assessing the level of potential and perception for innovation. Further representation of the structure of production relations in the form of a network model allows to reduce the cost of production, to increase productivity.

They contain the researches, which were conducted within the project GP – 501, financed by Ministry of Education and Science of Ukraine.

Keywords: fuel and energy complex, optimal flow distribution, performance indicators, emergency, industry reserve, energy consumption.

References

1. Fomichov, V., Sotskov, V., Pochepov, V., and Mamaikin, O. (2018). Formation of a calculation model determining optimal rate of stoping face movement with a large deformation of a rock massif. ARPN Journal of Engineering and Applied Sciences, 13(7), 2381-2389.
2. Хорольський, А.О., Гріньов, В.Г. (2018). Формування структури комплексного механізованого вибою з заданим рівнем видобутку. Сучасні інноваційні технології підготовки інженерних кадрів для гірничої промисловості і транспорту 2018, Дніпро: Національний гірничий університет, 31-39.
3. Хорольський, А.О., Гріньов, В.Г., Каліущенко, О.П. (2017). Вдосконалення структури технологічних ланцюжків очисного обладнання на основі оптимізації мережевих моделей. Форум гірників – 2017: Національний гірничий університет, 55-62.
4. Salli, S., Pochepov, V., and Mamaykin, O. (2014). Theoretical aspects of the potential technological schemes evaluation and their susceptibility to innovations. In Progressive Technologies of Coal, Coalbed Methane, and Ores Mining (pp. 491-496).
5. Lapko, V., Fomychov, V., and Pochepov, V. (2015). Differential system of the rope bolts loading during extraction drift support. New Developments in Mining Engineering 2015: Theoretical and Practical Solutions of Mineral Resources Mining, 461-464.
6. Mamaikin, O., Sotskov, V., Demchenko, Y., and Prykhorchuk, O. (2018). Productive flows control in coal mines under the condition of diversification of production. In E3S Web of Conferences (Vol. 60, p. 00008). EDP Sciences. https://doi.org/10.1051/e3sconf/20186000008
7. Fomychov, V., Pochepov, V., Fomychova, L., and Lapko, V. (2017). Computational model for evaluating the state of geomechanical systems during computing experiments. Mining of Mineral Deposits, 11(1), 100-105. https://doi.org/10.15407/mining11.01.100
8. Lapko, V., Fomychov, V. and Fomychova, L. (2014). Modern technologies of bolting in weakly metamorphosed rocks: experience and perspectives. Progressive Technologies of Coal, Coalbed Methane, and Ores Mining. CRC Press, 2014. 359-362.
9. Hrinov, V. and Khorolskyi, A. (2018). Improving the Process of Coal Extraction Based on the Parameter Optimization of Mining Equipment. In E3S Web of Conferences, Ukrainian School of Mining Engineering. (Vol. 60. p. 00017). EDP Sciences. https://doi.org/10.1051/e3sconf/20186000017
10. Гринев В.Г., Хорольский А.А. (2017). Система поддержки принятия решений при разработке месторождений полезных ископаемых. Горно-геологический журнал. (51), 18-24.
11. Khomenko, O., Kononenko, M., Myronova, I., and Sudakov, A. (2018). Increasing ecological safety during underground mining of iron-ore deposits. Scientific Bulletin of National Mining University, (2), 29-38.
12. Гріньов, В.Г., Хорольський, А.О., Мамайкін, О.Р. (2019). Декомпозиційний підхід при побудові систем генерації енергії у вуглепромислових регіонах. Вісті Донецького гірничого інституту, (44), 116-126. https://doi.org/10.31474/1999-981x-2019-1-116-126
13. Гріньов, В.Г., Хорольський, А.О., Мамайкін, О.Р. (2019). Оцінка стану та оптимізація параметрів технологічних схем вугільних шахт. Вісник Криворізького національного університету, (48), 31-37. https://doi.org/10.31721/2306-5451-2019-1-48-31-37
14. Хорольський, А.О., Гріньов, В.Г., Мамайкін, О.Р. (2019). Оптимізація стійкості функціонування підсистем очисного вибою. Сучасні ресурсоенергозберігаючі технології гірничого виробництва, (23), 85-103. https://doi.org/10.30929/2074-1537.2019.1.85-103
15. Petlovanyi, M.V., Lozynskyi, V.H., Saik, P.B., and Sai, K.S. (2018). Modern experience of low-coal seams underground mining in Ukraine. International Journal of Mining Science and Technology, 28(6), 917-923. https://doi.org/10.1016/j.ijmst.2018.05.014