Stochastic simulation of underground coal extraction schedule
Purpose. Improvement of the technique of stochastic modeling of the schedule of mining by introducing and taking into account mutual dependencies between elementary operations of the main processes of coal mining. Methods. The energy complex of Ukraine depends on the supply of gas, oil, nuclear fue...
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| Datum: | 2022 |
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| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут фізики гірничих процесів НАН України
2022
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| Schriftenreihe: | Фізико-технічні проблеми гірничого виробництва |
| Schlagworte: | |
| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/189994 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Stochastic simulation of underground coal extraction schedule / A.V. Merzlikin, L.V. Zakharova, Y.A. Merzlikina // Фізико-технічні проблеми гірничого виробництва: Зб. наук. пр. — 2022. — Вип. 24. — С. 67-81. — Бібліогр.: 18 назв. — англ. |
Institution
Digital Library of Periodicals of National Academy of Sciences of Ukraine| Zusammenfassung: | Purpose. Improvement of the technique of stochastic modeling of the schedule of mining by introducing and taking into account mutual dependencies between elementary operations of the main processes of coal mining.
Methods. The energy complex of Ukraine depends on the supply of gas, oil, nuclear fuel, as well as on the development of its coal industry. Underground coal mining is carried out in exclusively dangerous and specific conditions. Risks posed by uncertainty worsens the coal mining program, which usually leads to chronic failure to maintain the schedule of mining operations. This reduces profitability of coal mining and, as a consequence, affects the economic condition of the industry as a whole. In this paper, for the first time, the mining Gantt chart is considered as a complex of continuous and discrete operations.
Findings. Application of the stochastic modeling method allows you to create many options for the implementation of the mining work schedule and thus cover all potentially possible implementations. As a result of the research, the method of stochastic modeling was improved by introducing and taking into account the interdependencies between the elementary operations of the main mining processes.
Practical implications. For the conditions of uncertain coal mining, it was established that the most promising ways to reduce mining risks are modern information technologies, which are based on monitoring early signals of the stochastic environment in which coal mining takes place. |
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