Experimental Study on Spontaneous Combustion Monitoring in Coal Mine Airspace Based on Distributed Fiber Optic Temperature Measurement

References

• Bado, M. F., and J. R. Casas. 2021. A review of recent distributed optical fiber sensors applications for civil engineering structural health monitoring. Sensors 21 (5):1818. doi:10.3390/s21051818.
   PubMed Web of Science ®Google Scholar
• Chen, X. K. 2013. Research on early warning of coal spontaneous combustion with multi-source information fusion[D]. Xi’an University of Science and Technology.
   Google Scholar
• Cheng, J., W. Luo, Z. Zhao, D. Jiang, J. Zhao, L. Shi, Y. Liu, G. Zhao, Z. Wang, W. Song, et al. 2021. Controlling coal spontaneous combustion fire in longwall gob using comprehensive methods—a case study. Min. Metall. Explor. 38 (4):1801–16. doi:10.1007/s42461-021-00427-6.
   Web of Science ®Google Scholar
• Chen, Y., and W. Wang. 2021. Spontaneous combustion fire forecasting method and new monitoring technology in the mining airspace. Coal Mine Saf. 2021 52 (8):118–22. doi:10.13347/j.cnki.mkaq.2021.08.019.
   Google Scholar
• Deng, J., Q. Zhang, Y. F. Jin, Zheng, X. Z. et al. 2013. Key technologies for the application of JSG-8 type mine fire beam tube monitoring system. Min. Saf. Environ. Protect. 40 (3):47–49.
   Google Scholar
• Feng, X. P. 1998. Application of thermocouple temperature measurement method in goaf of top coal caving. Modernization Coal Mines 2:28–9+32.
   Google Scholar
• Guo, Q. 2022. Research on early warning technology and application of spontaneous combustion of coal in air-mining area [D]. China Univ. Min. Technol. doi:10.27623/d.cnki.gzkyu.2021.000080.
   Google Scholar
• Guo, J., H. Wen, X. Zheng, Y. Liu, and X. Cheng. 2019. A method for evaluating the spontaneous combustion of coal by monitoring various gases. Process Saf. Environ. Prot. 126:223–31. doi:10.1016/j.psep.2019.04.014.
   Web of Science ®Google Scholar
• Hao, T. X., L. L. Zhang, F. Li, Wang, Z.H., et al. 2023. Preferential selection of coal spontaneous combustion marker gases based on principal component analysis. Min. Eng. 42 (10):176–81. doi:10.13301/j.cnki.ct.2023.10.040.
   Google Scholar
• Hu, F. 2022. Application of distributed fiber optic temperature measurement technology in belt transport system. Coal Mine Mach. 43 (10):159–61.
   Google Scholar
• Hu, Q. Z., Q. Y. Yin, M. Li, Lu, G.Q., et al. 2020. Research on the application of distributed fiber optics in road tunnel fire monitoring. Highway 65 (4):383–87.
   Google Scholar
• Jiang, L. J., C. B. Deng, C. P. Wang, Lei, C.K., Nian, J., et al. 2023. Analysis and graded warning of coal spontaneous combustion indicator gases. J. Xi’an Univ. Sci. Technol. 43 (6):1088–98. doi:10.13800/j.cnki.xakjdxxb.2023.0607.
   Google Scholar
• Kong, B., J. Li, W. Lu, W. Fu, H. Song, and J. Liu. 2022. Research on a spontaneous combustion prevention system in deep mine: A case study of Dongtan coal mine. Combust. Sci. Technol. 1–20. doi:10.1080/00102202.2022.2126938.
   Google Scholar
• Liang, Y., J. Zhang, L. Wang, H. Luo, and T. Ren. 2019. Forecasting spontaneous combustion of coal in underground coal mines by index gases: A review. J. Loss Prev. Process Ind. 57:208–22. doi:10.1016/j.jlp.2018.12.003.
   Web of Science ®Google Scholar
• Li, Z. H., and G. D. Miao. 2023. Study on the generation law of large molecular weight gaseous products from spontaneous coal combustion. J. China Univ. Min. Technol. 52 (6):1119–28. doi:10.13247/j.cnki.jcumt.20230380.
   Google Scholar
• Li, J., and M. Zhang. 2022. Physics and applications of Raman distributed optical fiber sensing. Light Sci. Appl. 11 (1):128. doi:10.1038/s41377-022-00811-x.
   PubMed Web of Science ®Google Scholar
• Lu, P., N. Lalam, M. Badar, B. Liu, B. T. Chorpening, M. P. Buric, and P. R. Ohodnicki. 2019. Distributed optical fiber sensing: Review and perspective. Appl. Phys. Rev. 6 (4). doi:10.1063/1.5113955.
   PubMed Web of Science ®Google Scholar
• Pan, Y. S., and L. Dai. 2021. Theoretical formulas for the occurrence of impact ground pressure in coal mines. J. Coal Sci. 46 (3):789–99.
   Google Scholar
• Qin, B. T., X. X. Zhong, D. M. Wang, Xin, H.H., Shi, Q.L., et al. 2021. Research progress on the characteristics of spontaneous combustion process and prevention technology of coal. Coal Sci. Technol. 49 (1):66–99.
   Google Scholar
• Song, Z., and C. Kuenzer. 2014. Coal fires in China over the last decade: A comprehensive review. Int. J. Coal Geol. 133:72–99. doi:10.1016/j.coal.2014.09.004.
   Web of Science ®Google Scholar
• Song, X. G., T. Zhao, Y.M. Bi, Zhang, Z.H., Du, C., Tian, Y., Kong, X.G, et al. 2024. Application of fiber optic sensing technology in road traffic[J/OL]. J. Shandong Univ. (2):13–26+35. April 29, 2024. http://kns.cnki.net/kcms/detail/37.1391.T.20240422.0933.004.html.
   Google Scholar
• Wang, W. F., J. Deng, Y. B. Hou, Wang, N.G., et al. 2017. Research and application of distributed fibre-optic temperature monitoring and early warning technology for spontaneous coal combustion in an air-mining zone. Min. Mach. 45 (2):55–60. doi:10.16816/j.cnki.ksjx.2017.02.014.
   Google Scholar
• Wang, X. H., K. Yu, and Z. N. Yu. 2019. Application of distributed fiber optic temperature measurement system in petroleum and petrochemical storage and transportation. Petrochem. Saf. Environ. Protect. Technol. 35 (4):41–43.
   Google Scholar
• Wan, X. Y., and H. Yang. 2012. Research on prediction system of spontaneous combustion in coal mine goaf based on multi-sensor fusion technology. Adv. Mater. Res-Switz. 550:2887–90. doi:10.4028/www.scientific.net/AMR.550-553.2887.
   Google Scholar
• Wen, H., M. Ma, and J. B. Fei. 2010. Coal mine fire control based on infrared imaging technology. Coal Sci. Technol. 38 (1):28–30. doi:10.13199/j.cst.2010.01.33.wenH.018.
   Google Scholar
• Yuan, S. J. 2001. Analysis of coal spontaneous combustion in goaf using fire indicators and thermocouple temperature measurement method. Coal Mine Saf. 5:7–9.
   Google Scholar
• Zhang, X. W. 2023. Government work report [N]. Taiyuan Daily. (1).
   Google Scholar
• Zhao, Q., Y. Zhang, Y. Gao, Y. C. Ji, and Z. A. Huang. 2016. Mechanism research and application on distributed optical fiber temperature measurement in coalmine goaf area based on the sensor network. Int. J. Sensor Networks 20 (2):104–10. doi:10.1504/IJSNET.2016.074699.
   Web of Science ®Google Scholar
• Zheng, Y., Q. Li, P. Zhu, X. Li, G. Zhang, X. Ma, and Y. Zhao. 2023. Study on multi-field evolution and influencing factors of coal spontaneous combustion in goaf. Combust. Sci. Technol. 195 (2):247–64. doi:10.1080/00102202.2021.1947262.
   Web of Science ®Google Scholar
• Zhu, X., and H. Wen. 2023. Application of multi-index grey target decision method in prediction of coal temperature in goaf. Combust. Sci. Technol. 1–15. doi:10.1080/00102202.2023.2177510.
   Web of Science ®Google Scholar
• Zipf, Jr R. K., W. Marchewka, K. Mohamed, J. Addis, and F. Karnack. 2013. Tube bundle system: For monitoring of coal mine atmosphere. Min. Eng. 65 (5):57.
   PubMedGoogle Scholar