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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">gscience</journal-id><journal-title-group><journal-title xml:lang="en">Mining Science and Technology (Russia)</journal-title><trans-title-group xml:lang="ru"><trans-title>Горные науки и технологии</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-0632</issn><publisher><publisher-name>The National University of Science and Technology MISiIS (NUST MISIS)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2500-0632-2023-10-163</article-id><article-id custom-type="elpub" pub-id-type="custom">gscience-593</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SAFETY IN MINING AND PROCESSING INDUSTRY AND ENVIRONMENTAL PROTECTION</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ТЕХНОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ В МИНЕРАЛЬНО-СЫРЬЕВОМ КОМПЛЕКСЕ И ОХРАНА ОКРУЖАЮЩЕЙ СРЕДЫ</subject></subj-group></article-categories><title-group><article-title>Monitoring of aerological risks of accidents in coal mines</article-title><trans-title-group xml:lang="ru"><trans-title>Мониторинг аэрологических рисков аварий на угольных шахтах</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0961-6050</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Баловцев</surname><given-names>С. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Balovtsev</surname><given-names>S. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сергей Владимирович Баловцев – кандидат технических наук, доцент</p><p>Scopus ID 56780405300</p><p>г. Москва</p></bio><bio xml:lang="en"><p>Sergey V. Balovtsev – Cand. Sci. (Eng.), Associate Professor</p><p>Scopus ID 56780405300</p><p>Moscow</p></bio><email xlink:type="simple">balovcev@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Университет науки и технологий МИСИС<country>Россия</country></aff><aff xml:lang="en">National University of Science and Technology MISIS<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>16</day><month>12</month><year>2023</year></pub-date><volume>8</volume><issue>4</issue><fpage>350</fpage><lpage>359</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Balovtsev S.V., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Баловцев С.В.</copyright-holder><copyright-holder xml:lang="en">Balovtsev S.V.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://mst.misis.ru/jour/article/view/593">https://mst.misis.ru/jour/article/view/593</self-uri><abstract><p>The assessment and management of aerological risks in coal mine accidents are based on the development of a data analytics system that hosts design values for various parameters and subsystems related to coal mines, as well as the real-time monitoring of operational parameters through various sensors and devices. This study presents the methodology for monitoring aerological risks. It utilizes mining, geological, and geotechnical conditions for seam extraction, along with statistical data concerning elements of coal mine ventilation and gas drainage systems, to assess aerological risks at individual coal mine functionality levels and individual risk factors. Eight coal mines have been ranked according to their aerological risk level. For rank I, the minimum aerological risk is 0.0769, while the maximum is 0.5698. Rank II is associated with category II mines. Aerological risk for this rank is the lowest and ranges from 0,1135 to 0,3873. In the case of rank III, the minimum aerological risk is 0.057, with a maximum of 0.595. This ranking of coal mines by aerological risk level allows to identify potentially unsafe mines in terms of aerology, and enables us to determine aerological risk mitigation measures (technical, technological, and organizational) for each mine to enhance aerological safety.</p></abstract><trans-abstract xml:lang="ru"><p>Оценка и управление аэрологическими рисками аварий в угольных шахтах основываются на создании информационно-аналитической системы данных, включающей в себя проектные значения показателей разных уровней и подсистем угольных шахт, эксплуатационные значения показателей, отслеживаемых системой мониторинга в реальном времени с использованием различных датчиков и устройств. В настоящем исследовании представлена методология мониторинга аэрологических рисков. На основании горно-геологических и горнотехнических условий отработки пластов, статистических данных по элементам вентиляционных и дегазационных систем угольных шахт приведены результаты оценки аэрологических рисков по отдельным уровням функциональной структуры угольных шахт, а также по отдельным факторам риска. По уровням аэрологических рисков выполнено ранжирование восьми угольных шахт. Установлено, что минимальное значение аэрологического риска I ранга составляет 0,0769, максимальное – 0,5698. Наименьшие значения аэрологического риска II ранга (0,1135–0,3873) относятся к шахтам II категории. Минимальное значение аэрологического риска III ранга составляет 0,057, максимальное – 0,595. Ранжирование угольных шахт по уровням аэрологических рисков позволяет выявить шахты с низким уровнем аэрологической безопасности и для каждой шахты определить направления технических, технологических и организационно-технических мероприятий по повышению аэрологической безопасности.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>угольная шахта</kwd><kwd>информационно-аналитическая система</kwd><kwd>аэрологическая безопасность</kwd><kwd>мониторинг аэрологических рисков</kwd><kwd>уязвимость схем и способов вентиляции</kwd></kwd-group><kwd-group xml:lang="en"><kwd>coal mine</kwd><kwd>data analytics system</kwd><kwd>aerological system</kwd><kwd>aerological risk monitoring</kwd><kwd>vulnerability of ventilation schemes and types</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Тарасенко И.А., Куликова А.А., Ковалева А.М. К вопросу оценки автоматизации контроля параметров метановоздушной смеси. Уголь. 2022;(11):84–88. https://doi.org/10.18796/0041-5790-2022-11-84-88</mixed-citation><mixed-citation xml:lang="en">Tarasenko I. A., Kulikova A. A., Kovaleva A. M. On the issue of assessing the automation of control of the parameters of the methane-air mixture. Ugol’. 2022;(11):84–88. (In Russ.) https://doi.org/10.18796/0041-5790-2022-11-84-88</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Martirosyan A.V., Ilyushin Yu.V. The development of the toxic and flammable gases concentration monitoring system for coalmines. Energies. 2022;15(23):8917. https://doi.org/10.3390/en15238917</mixed-citation><mixed-citation xml:lang="en">Martirosyan A. V., Ilyushin Yu. V. The development of the toxic and flammable gases concentration monitoring system for coalmines. Energies. 2022;15(23):8917. https://doi.org/10.3390/en15238917</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Bosikov I.I., Martyushev N.V., Klyuev R.V. et al. Modeling and complex analysis of the topology parameters of ventilation networks when ensuring fire safety while developing coal and gas deposits. Fire. 2023;6(3):95. https://doi.org/10.3390/fire6030095</mixed-citation><mixed-citation xml:lang="en">Bosikov I. I., Martyushev N. V., Klyuev R. V. et al. Modeling and complex analysis of the topology parameters of ventilation networks when ensuring fire safety while developing coal and gas deposits. Fire. 2023;6(3):95. https://doi.org/10.3390/fire6030095</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Скопинцева О.В. Профилактический ремонт горных выработок как метод предупреждения отказов системы управления газовыделением. Горный информационно-аналитический бюллетень. 2021;(2–1):54–63. https://doi.org/10.25018/0236-1493-2021-21-0-54-63</mixed-citation><mixed-citation xml:lang="en">Skopintseva O. V. Preventive repair of mining works as a method for preventing failures in the gas control system. Mining Informational and Analytical Bulletin. 2021;(2–1):54–63. (In Russ.) https://doi.org/10.25018/0236-1493-2021-21-0-54-63</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Kobylkin S.S., Pugach A.S. Rock burst forecasting technique and selecting a safe coal face advance direction. Mining Science and Technology (Russia). 2022;7(2):126–136. https://doi.org/10.17073/2500-0632-2022-2-126-136</mixed-citation><mixed-citation xml:lang="en">Kobylkin S. S., Pugach A. S. Rock burst forecasting technique and selecting a safe coal face advance direction. Mining Science and Technology (Russia). 2022;7(2):126–136. https://doi.org/10.17073/2500-0632-2022-2-126-136</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Босиков И.И., Клюев Р.В., Хетагуров В.Н. Анализ и комплексная оценка газодинамических процессов на угольных шахтах с помощью методов теории вероятности и математической статистики. Устойчивое развитие горных территорий. 2022;14(3):461–467. https://doi.org/10.21177/1998-4502-2022-14-3-461-467</mixed-citation><mixed-citation xml:lang="en">Bosikov I. I., Klyuev R. V., Khetagurov V. N. Analysis and comprehensive evaluation of gas-dynamic processes in coal mines using the methods of the theory of probability and math statistics analysis. Sustainable Development of Mountain Territories. 2022;14(3):461–467. (In Russ.) https://doi.org/10.21177/1998-4502-2022-14-3-461-467</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Rodionov V., Tumanov M., Skripnik I. et al. Analysis of the fractional composition of coal dust and its effect on the explosion hazard of the air in coal mines. In: IOP Conference Series: Earth and Environmental Science, Volume 981, Information Technologies, Automation Engineering and Digitization of Agriculture. 2022;981(3):032024. https://doi.org/10.1088/1755-1315/981/3/032024</mixed-citation><mixed-citation xml:lang="en">Rodionov V., Tumanov M., Skripnik I. et al. Analysis of the fractional composition of coal dust and its effect on the explosion hazard of the air in coal mines. In: IOP Conference Series: Earth and Environmental Science, Volume 981, Information Technologies, Automation Engineering and Digitization of Agriculture. 2022;981(3):032024. https://doi.org/10.1088/1755-1315/981/3/032024</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Кобылкин А.С. Исследования пылераспределения в очистном забое у комбайна. Горный информационно-аналитический бюллетень. 2020;(6–1):65–73. https://doi.org/10.25018/0236-1493-2020-61-0-65-73</mixed-citation><mixed-citation xml:lang="en">Kobylkin A. S. Dust distribution at a coal shearer in the face area. Mining Informational and Analytical Bulletin. 2020;(6–1):65–73. (In Russ.) https://doi.org/10.25018/0236-1493-2020-61-0-65-73</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Gao L., Kang X., Tang M. et al. Study on prediction of outburst risk of excavation face by initial gas emission. Geofluids. 2022;2022:4866805. https://doi.org/10.1155/2022/4866805</mixed-citation><mixed-citation xml:lang="en">Gao L., Kang X., Tang M. et al. Study on prediction of outburst risk of excavation face by initial gas emission. Geofluids. 2022;2022:4866805. https://doi.org/10.1155/2022/4866805</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Корнев А.В., Спицын А.А., Коршунов Г.И., Баженова В.А. Обеспечение пылевзрывобезопасности подземных горных выработок в угольных шахтах: методы и современные тенденции. Горный информационно-аналитический бюллетень. 2023;(3):133–149. https://doi.org/10.25018/0236_1493_2023_3_0_133</mixed-citation><mixed-citation xml:lang="en">Kornev A. V., Spitsyn A. A., Korshunov G. I., Bazhenova V. A. Preventing dust explosions in coal mines: Methods and current trends. Mining Informational and Analytical Bulletin. 2023;(3):133–149. (In Russ.) https://doi.org/10.25018/0236_1493_2023_3_0_133</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Kim M.L., Pevzner L.D., Temkin I.O. Development of automatic system for Unmanned Aerial Vehicle (UAV) motion control for mine conditions. Mining Science and Technology (Russia). 2021;6(3):203–210. https://doi.org/10.17073/2500-0632-2021-3-203-210</mixed-citation><mixed-citation xml:lang="en">Kim M. L., Pevzner L. D., Temkin I. O. Development of automatic system for Unmanned Aerial Vehicle (UAV) motion control for mine conditions. Mining Science and Technology (Russia). 2021;6(3):203–210. https://doi.org/10.17073/2500-0632-2021-3-203-210</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Zhu Z., Wang H., Zhou J. Monitoring and control model for coal mine gas and coal dust. Chemistry and Technology of Fuels and Oils. 2020;56:504–515. https://doi.org/10.1007/s10553-020-01161-3</mixed-citation><mixed-citation xml:lang="en">Zhu Z., Wang H., Zhou J. Monitoring and control model for coal mine gas and coal dust. Chemistry and Technology of Fuels and Oils. 2020;56:504–515. https://doi.org/10.1007/s10553-020-01161-3</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Tyuleneva T., Kabanov E., Moldazhanov M., Plotnikov E. Improving the professional risk management system for methane and coal dust explosions using a risk-based approach. In: E3S Web of Conferences. The Second Interregional Conference “Sustainable Development of Eurasian Mining Regions (SDEMR-2021)”. 2021;278:01027. https://doi.org/10.1051/e3sconf/202127801027</mixed-citation><mixed-citation xml:lang="en">Tyuleneva T., Kabanov E., Moldazhanov M., Plotnikov E. Improving the professional risk management system for methane and coal dust explosions using a risk-based approach. In: E3S Web of Conferences. The Second Interregional Conference “Sustainable Development of Eurasian Mining Regions (SDEMR-2021)”. 2021;278:01027. https://doi.org/10.1051/e3sconf/202127801027</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Li F., He X., Zhang Yu. et al. Superposition risk assessment of the working position of gas explosions in chinese coal mines. Process Safety and Environmental Protection. 2022;167:274–283. https://doi.org/10.1016/j.psep.2022.09.017</mixed-citation><mixed-citation xml:lang="en">Li F., He X., Zhang Yu. et al. Superposition risk assessment of the working position of gas explosions in chinese coal mines. Process Safety and Environmental Protection. 2022;167:274–283. https://doi.org/10.1016/j.psep.2022.09.017</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Kazanin O., Sidorenko A., Drebenstedt C. Intensive underground mining technologies: Challenges and prospects for the coal mines in Russia. Acta Montanistica Slovaca. 2021;26(1):60–69. https://doi.org/10.46544/AMS.v26i1.05</mixed-citation><mixed-citation xml:lang="en">Kazanin O., Sidorenko A., Drebenstedt C. Intensive underground mining technologies: Challenges and prospects for the coal mines in Russia. Acta Montanistica Slovaca. 2021;26(1):60–69. https://doi.org/10.46544/AMS.v26i1.05</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Álvarez-Fernández M.-I., Prendes-Gero M.-B., Peñas-Espinosa J.-C., González-Nicieza C. Innovative techniques in underground mining for the prevention of gas dynamic phenomena. Energies. 2021;14(16):5205. https://doi.org/10.3390/en14165205</mixed-citation><mixed-citation xml:lang="en">Álvarez-Fernández M.-I., Prendes-Gero M.-B., Peñas-Espinosa J.-C., González-Nicieza C. Innovative techniques in underground mining for the prevention of gas dynamic phenomena. Energies. 2021;14(16):5205. https://doi.org/10.3390/en14165205</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Куликова Е.Ю., Конюхов Д.С. Мониторинг риска аварий при освоении подземного пространства. Горный информационно-аналитический бюллетень. 2022;(1):97–103. https://doi.org/10.25018/0236_1493_2022_1_0_97</mixed-citation><mixed-citation xml:lang="en">Kulikova E. Yu., Konyukhov D. S. Accident risk monitoring in underground space development. Mining Informational and Analytical Bulletin. 2022;(1):97–103. (In Russ.) https://doi.org/10.25018/0236_1493_2022_1_0_97</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Mitra S., Kumar D., Chaulya S. K., Kumar Ch. Prediction of strata monitoring system in underground coal mines using IoT. Journal of the Geological Society of India. 2022;98:232–236. https://doi.org/10.1007/s12594-022-1963-8</mixed-citation><mixed-citation xml:lang="en">Mitra S., Kumar D., Chaulya S. K., Kumar Ch. Prediction of strata monitoring system in underground coal mines using IoT. Journal of the Geological Society of India. 2022;98:232–236. https://doi.org/10.1007/s12594-022-1963-8</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Li Y., Su H., Ji H., Cheng W. Numerical simulation to determine the gas explosion risk in longwall goaf areas: A case study of Xutuan Colliery. International Journal of Mining Science and Technology. 2020;30(6):875–882. https://doi.org/10.1016/j.ijmst.2020.07.007</mixed-citation><mixed-citation xml:lang="en">Li Y., Su H., Ji H., Cheng W. Numerical simulation to determine the gas explosion risk in longwall goaf areas: A case study of Xutuan Colliery. International Journal of Mining Science and Technology. 2020;30(6):875–882. https://doi.org/10.1016/j.ijmst.2020.07.007</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Feng X., Ai Z., Zhang X. et al. Numerical investigation of the evolution of gas and coal spontaneously burned composite disaster in the goaf of steeply inclined coal seam. Sustainability. 2023;15(12):9246. https://doi.org/10.3390/su15129246</mixed-citation><mixed-citation xml:lang="en">Feng X., Ai Z., Zhang X. et al. Numerical investigation of the evolution of gas and coal spontaneously burned composite disaster in the goaf of steeply inclined coal seam. Sustainability. 2023;15(12):9246. https://doi.org/10.3390/su15129246</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Tang C., Gao E., Li Y. et al. Inspection robot and wall surface detection method for coal mine wind shaft. Applied Sciences. 2023;13(9):5662. https://doi.org/10.3390/app13095662</mixed-citation><mixed-citation xml:lang="en">Tang C., Gao E., Li Y. et al. Inspection robot and wall surface detection method for coal mine wind shaft. Applied Sciences. 2023;13(9):5662. https://doi.org/10.3390/app13095662</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Niu L., Zhao J., Yang J. Risk assessment of unsafe acts in coal mine gas explosion accidents based on HFACS-GE and Bayesian networks. Processes. 2023;11(2):554. https://doi.org/10.3390/pr11020554</mixed-citation><mixed-citation xml:lang="en">Niu L., Zhao J., Yang J. Risk assessment of unsafe acts in coal mine gas explosion accidents based on HFACS-GE and Bayesian networks. Processes. 2023;11(2):554. https://doi.org/10.3390/pr11020554</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Wang G., Ren H., Zhao G. et al. Research and practice of intelligent coal mine technology systems in China. International Journal of Coal Science &amp; Technology. 2022;9:24. https://doi.org/10.1007/s40789-022-00491-3</mixed-citation><mixed-citation xml:lang="en">Wang G., Ren H., Zhao G. et al. Research and practice of intelligent coal mine technology systems in China. International Journal of Coal Science &amp; Technology. 2022;9:24. https://doi.org/10.1007/s40789-022-00491-3</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Bukhtoyarov V.V., Tynchenko V.S., Nelyub V.A. et al. A study on a probabilistic method for designing artificial neural networks for the formation of intelligent technology assemblies with high variability. Electronics. 2023;12(1):215. https://doi.org/10.3390/electronics12010215</mixed-citation><mixed-citation xml:lang="en">Bukhtoyarov V. V., Tynchenko V. S., Nelyub V. A. et al. A study on a probabilistic method for designing artificial neural networks for the formation of intelligent technology assemblies with high variability. Electronics. 2023;12(1):215. https://doi.org/10.3390/electronics12010215</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Shareef Sk.Kh., Kumar B.A., Suwarna G., Swathi M. Coal miners safety monitoring system. International Journal of Innovative Technology and Exploring Engineering (IJITEE). 2019;8(12):3202–3204. https://doi.org/10.35940/ijitee.L3246.1081219</mixed-citation><mixed-citation xml:lang="en">Shareef Sk. Kh., Kumar B. A., Suwarna G., Swathi M. Coal miners safety monitoring system. International Journal of Innovative Technology and Exploring Engineering (IJITEE). 2019;8(12):3202–3204. https://doi.org/10.35940/ijitee.L3246.1081219</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">Tripathi A.K., Aruna M., Prasad S. et al. New approach for monitoring the underground coal mines atmosphere using IoT technology. Instrumentation Mesure Métrologie. 2023;22(1):29–34. https://doi.org/10.18280/i2m.220104</mixed-citation><mixed-citation xml:lang="en">Tripathi A. K., Aruna M., Prasad S. et al. New approach for monitoring the underground coal mines atmosphere using IoT technology. Instrumentation Mesure Métrologie. 2023;22(1):29–34. https://doi.org/10.18280/i2m.220104</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Diaz J., Agioutantis Z., Hristopulos D.T. et al. Forecasting of methane gas in underground coal mines: univariate versus multivariate time series modeling. Stochastic Environmental Research and Risk Assessment. 2023;37(12):2099–2115. https://doi.org/10.1007/s00477-023-02382-8</mixed-citation><mixed-citation xml:lang="en">Diaz J., Agioutantis Z., Hristopulos D. T. et al. Forecasting of methane gas in underground coal mines: univariate versus multivariate time series modeling. Stochastic Environmental Research and Risk Assessment. 2023;37(12):2099–2115. https://doi.org/10.1007/s00477-023-02382-8</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Ганова С.Д., Скопинцева О.В., Исаев О.Н. К вопросу исследования состава углеводородных газов угольных пластов и пыли с целью возможного прогнозирования их потенциальной опасности. Известия Томского политехнического университета. Инжиниринг георесурсов. 2019;330(6):109–115. https://doi.org/10.18799/24131830/2019/6/2132</mixed-citation><mixed-citation xml:lang="en">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;330(6):109–115. (In Russ.) https://doi.org/10.18799/24131830/2019/6/2132</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Yang J., Zhao J., Shao L. Risk assessment of coal mine gas explosion based on fault tree analysis and fuzzy polymorphic Bayesian network: a case study of Wangzhuang Coal Mine. Processes. 2023;11(9):2619. https://doi.org/10.3390/pr11092619</mixed-citation><mixed-citation xml:lang="en">Yang J., Zhao J., Shao L. Risk assessment of coal mine gas explosion based on fault tree analysis and fuzzy polymorphic Bayesian network: a case study of Wangzhuang Coal Mine. Processes. 2023;11(9):2619. https://doi.org/10.3390/pr11092619</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Srivalli Dr.G., Ujwala S.V., Sahithi G. et al. Study on coal mine safety monitoring and alerting system using IOT. International Journal for Research in Applied Science &amp; Engineering Technology (IJRAS). 2023;11(6):3781–3786. https://doi.org/10.22214/ijraset.2023.54194</mixed-citation><mixed-citation xml:lang="en">Srivalli Dr. G., Ujwala S. V., Sahithi G. et al. Study on coal mine safety monitoring and alerting system using IOT. International Journal for Research in Applied Science &amp; Engineering Technology (IJRAS). 2023;11(6):3781–3786. https://doi.org/10.22214/ijraset.2023.54194</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
