Abstract
Coal mine fires, which can cause heavy casualties, environmental damages and a waste of coal resources, have become a worldwide problem. Aiming at overcoming the drawbacks, such as a low analysis efficiency, poor stability and large monitoring error, of the existing underground coal fire monitoring technology, a novel monitoring system based on non-dispersive infrared (NDIR) spectroscopy is developed. In this study, first, the measurement principle of NDIR sensor, the gas concentration calculation and its temperature compensation algorithms were expounded. Next, taking CO and CH4 as examples, the liner correlation coefficients of absorbance and the temperature correction factors of the two indicator gases were calculated, and then the errors of concentration measurement for CO, CO2, CH4 and C2H4 were further analyzed. The results disclose that the designed NDIR sensors can satisfy the requirements of industrial standards for monitoring the indicator gases for coal fire hazards. For the established NDIR-based monitoring system, the NDIR-based spectrum analyzer and its auxiliary equipment boast intrinsically safe and explosion-proof performances and can achieve real-time and in-situ detection of indicator gases when installed close to the coal fire risk area underground. Furthermore, a field application of the NDIR-based monitoring system in a coal mine shows that the NDIR-based spectrum analyzer has a permissible difference from the chromatography in measuring the concentrations of various indicator gases. Besides, the advantages of high accuracy, quick analysis and excellent security of the NDIR-based monitoring system have promoted its application in many coal mines.
摘要
煤矿井下火灾气体的实时监测对于实现采空区自燃危险性辨识,防范重特大热动力灾害发生,保障煤矿安全生产至关重要。为解决现有非防爆型异地检测技术气体分析速度慢、系统误差大、无法实现原位在线监测的缺陷,在此提出基于非分光红外光谱(NDIR)技术的气体传感器浓度计算方法,推导了温度补偿后的NDIR 传感器气体浓度计算公式;随后,以CO 和CH4为例计算了吸光度线性系数和温度修**系数,并进一步对比测试了CO、CO 2 、CH 4 和C 2 H 4 的计算精度和稳定性,结果表明基本误差和定量重复性均优于煤炭行业标准要求。基于NDIR 技术设计了具有本质安全和防爆性能的监测主机、配套子系统及软件**台,以实现煤矿井下气体的就地采集、有源预处理、原位在线分析。现场应用表明:大南湖一矿NDIR 气体在线监测与地面色谱分析的4 种气体浓度偏差均在标准允许范围内。基于NDIR 的气体监测系统具有精度高、分析速度快、安全性好等优点,已经在全国40 余对矿井推广应用,为评价煤矿井下热动力灾害的发生发展状态、提升防灾减灾救灾能力提供了科学依据。
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Project(2021MD703848) supported by the China Postdoctoral Science Foundation; Projects(52174229, 52174230) supported by the National Natural Science Foundation of China; Project(2021-KF-23-04) supported by the Natural Science Foundation of Liaoning Province, China; Project(2020CXNL10) supported by the Fundamental Research Funds for the Central Universities, China
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TIAN Fu-chao provided the concept and edited the draft of manuscript. LIANG Yun-tao conducted the literature review and wrote the first draft of the manuscript. ZHU Hong-qing and CHEN Ming-yi analyzed the supervision data. WANG **-cheng edited the draft of manuscript. All authors replied to reviewers’ comments and revised the final version.
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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Tian, Fc., Liang, Yt., Zhu, Hq. et al. Application of a novel detection approach based on non-dispersive infrared theory to the in-situ analysis on indicator gases from underground coal fire. J. Cent. South Univ. 29, 1840–1855 (2022). https://doi.org/10.1007/s11771-022-5006-9
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DOI: https://doi.org/10.1007/s11771-022-5006-9
Key words
- indicator gas
- coal spontaneous combustion
- infrared spectrometry
- bundle tube monitoring
- intrinsically safe