639
gas analysis system for coal mine combustion monitoring is chromatography-based gas tubing bundles system, which suffers from long time delay. As a cutting-edge technology for gas
detection, tunable diode laser absorption spectroscopy (TDLAS) shows the advantages and
potential for real time on-line monitoring, offering high selectivity and sensitivity, long-term
stability and excellent reliability.
As the most important characteristic gas, CO gas can be used for early detection of coal
spontaneous combustion in mine goafs. In this report, a sensitive and stable CO monitoring
system was demonstrated by using a 2.33 μm distributed feedback (DFB) laser and a 20-m
Herriott-type multi-pass gas cell, taking advantage of in-situ monitoring, excellent accuracy,
simple structure and lower cross interference available from direct absorption spectroscopy.
The detection accuracy of system was about ±0.1 ppm when as low as 1 ppm CO gas was
detected. Data monitored can be used to determine that the detection limit of system was
about 0.1 ppm. Moreover, a long-term continuous monitoring evaluation has clearly demonstrated the excellent stability and reliability of monitoring system developed. The results
obtained have validated the potential use of such a CO monitoring system in a practical
monitoring application, such as forecasting coal spontaneous combustion.
ACKNOWLEDGEMENT
The authors gratefully acknowledge the support by the National Key Research and Development Program of China (2017YFC0804403), Natural Science Foundation of Shandong Province (ZR2016QZ006), Young Fund Project of Shandong Academy of Sciences
(2018QN0011), and Young Scientist Partnership Project between Chinese Academy of Sciences at Shenyang and Shandong Academy of Sciences.
REFERENCES
Liang, Y., Hou, X., Luo, H., Tian, F. & Yu, G. 2016. Development countermeasures and current situation of coal mine fire prevention & extinguishing in China. Coal Science & Technology.
Lieberman, H. & Hewitt, C. 2004. Innovative Techniques for Detection and Control of Underground
Spontaneous Combustion of Coal. Communications of the Acm, 26, 419–429.
Liu, T., Wei, Y., Song, G., Hu, B., Li, L., Jin, G., Wang, J., Li, Y., Song, C. & Shi, Z.J.M. 2018. Fibre
optic sensors for coal mine hazard detection. 124, S0263224118302239.
Paynter, R.W. 2010. Modification of the Beer–Lambert equation for application to concentration gradients. Surface & Interface Analysis, 3, 186–187.
Yuan, L., Tao, L., Wei, Y. & Sun, Z. Application of Distributed Optical Fiber Temperature Sensing
System Based on Raman Scattering in Coal Mine Safety Monitoring. Photonics & Optoelectronics,
2012.
Zhang, X.H., Wen, H., Deng, J., Zhang, X.C. & Tien, J.C. 2011. Forecast of coal spontaneous combustion with artificial neural network model based on testing and monitoring gas indices. Journal of Coal
Science & Engineering, 17, 336.
gas analysis system for coal mine combustion monitoring is chromatography-based gas tubing bundles system, which suffers from long time delay. As a cutting-edge technology for gas
detection, tunable diode laser absorption spectroscopy (TDLAS) shows the advantages and
potential for real time on-line monitoring, offering high selectivity and sensitivity, long-term
stability and excellent reliability.
As the most important characteristic gas, CO gas can be used for early detection of coal
spontaneous combustion in mine goafs. In this report, a sensitive and stable CO monitoring
system was demonstrated by using a 2.33 μm distributed feedback (DFB) laser and a 20-m
Herriott-type multi-pass gas cell, taking advantage of in-situ monitoring, excellent accuracy,
simple structure and lower cross interference available from direct absorption spectroscopy.
The detection accuracy of system was about ±0.1 ppm when as low as 1 ppm CO gas was
detected. Data monitored can be used to determine that the detection limit of system was
about 0.1 ppm. Moreover, a long-term continuous monitoring evaluation has clearly demonstrated the excellent stability and reliability of monitoring system developed. The results
obtained have validated the potential use of such a CO monitoring system in a practical
monitoring application, such as forecasting coal spontaneous combustion.
ACKNOWLEDGEMENT
The authors gratefully acknowledge the support by the National Key Research and Development Program of China (2017YFC0804403), Natural Science Foundation of Shandong Province (ZR2016QZ006), Young Fund Project of Shandong Academy of Sciences
(2018QN0011), and Young Scientist Partnership Project between Chinese Academy of Sciences at Shenyang and Shandong Academy of Sciences.
REFERENCES
Liang, Y., Hou, X., Luo, H., Tian, F. & Yu, G. 2016. Development countermeasures and current situation of coal mine fire prevention & extinguishing in China. Coal Science & Technology.
Lieberman, H. & Hewitt, C. 2004. Innovative Techniques for Detection and Control of Underground
Spontaneous Combustion of Coal. Communications of the Acm, 26, 419–429.
Liu, T., Wei, Y., Song, G., Hu, B., Li, L., Jin, G., Wang, J., Li, Y., Song, C. & Shi, Z.J.M. 2018. Fibre
optic sensors for coal mine hazard detection. 124, S0263224118302239.
Paynter, R.W. 2010. Modification of the Beer–Lambert equation for application to concentration gradients. Surface & Interface Analysis, 3, 186–187.
Yuan, L., Tao, L., Wei, Y. & Sun, Z. Application of Distributed Optical Fiber Temperature Sensing
System Based on Raman Scattering in Coal Mine Safety Monitoring. Photonics & Optoelectronics,
2012.
Zhang, X.H., Wen, H., Deng, J., Zhang, X.C. & Tien, J.C. 2011. Forecast of coal spontaneous combustion with artificial neural network model based on testing and monitoring gas indices. Journal of Coal
Science & Engineering, 17, 336.