期刊
INFRARED PHYSICS & TECHNOLOGY
卷 102, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.infrared.2019.103042
关键词
Wavelength modulation spectroscopy; Laser-based dual-species sensor; Spontaneous coal combustion; Chemical inhibitor; Self-heating oxidation
资金
- National Natural Science Foundation of China [U1610117, U1810129]
- Doctoral Scientific Research Foundation of Taiyuan University of Science and Technology, China [20132011]
- Excellent Youth Academic Leader in Higher Education of Shanxi Province
- Key Research and Development Programme of Shanxi Province of China [201803D31077, 201803D121090]
- Open Funds of the Key Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, China
- Fund for Shanxi Key Subjects Construction
- Fund for Shanxi 1331 Project Key Innovative Research Team [1331KIRT]
Coal spontaneous combustion (CSC) is a common hazard in coal mines and a significant reason for the loss of coal in stockpiles and mines. To investigate the oxidation and release of gas due to of CSC, a miniature purpose-built laser-based sensor system capable of precise gas measurement and data processing was configured. A distributed feedback (DFB) diode laser with a central wavelength of 2.33 mu m, in conjunction with a Herriot-type cell and wavelength modulation spectroscopy (WMS), was used for the simultaneous detection of methane (CH4) and carbon monoxide (CO) during coal combustion. The second-harmonic of WMS was applied to ensure sensor robustness and sensitivity with long-term performance for the system being evaluated by calculating the Allan-Werle deviations for the concentrations of CH4 and CO. The limits of detection (LoDs) for CH4 and CO were 0.05 ppm based on integration times of 120 s and 70 s, respectively. The dual-species sensor was employed for real-time and in situ investigations of coal samples for temperatures ranging from 85 degrees C to 200 degrees C and was considered suitable for integration into field monitoring equipment, especially for online early warning forecasting applications in CSC.
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