Application of Distributed Optical Fiber Temperature Sensing System Based on Raman Scattering in Coal Mine Safety Monitoring

Liu, Yuan; Lei, Tao; Wei, Yubin; Sun, Zhihui; Wang, Chang; Liu, Tongyu

doi:10.1109/sopo.2012.6270924

Cited by 16 publications

(6 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…En muchos de los trabajos investigativos que se han desarrollado para la minería del carbón se ha concluido que controlar el crecimiento de la temperatura en el interior de esta pudo haber prevenido muchos de los incidentes (Liu et al, 2012(Liu et al, y 2018. No todos los artículos se encaminan al monitoreo del parámetro como tal, algunos se fundamentan en soluciones para controlar el parámetro; por ejemplo, empleando disipadores de calor en el área donde se evidencia alta cantidad de material combustible y/o limpieza periódica de residuos "polvo de carbón", entre otros Estas técnicas son útiles siempre y cuando se defina adecuadamente la condición dentro de la mina y para esto se requiere la medición de parámetros.…”

Section: Aplicaciones Dts En Mineríaunclassified

Distributed temperature measurements using optical fibre technology in an underground mine environment

Aminossadati

Mohammed

Shemshad

2010

Tunnelling and Underground Space Technology

View full text Add to dashboard Cite

Section: Aplicaciones Dts En Mineríaunclassified

Distributed temperature measurements using optical fibre technology in an underground mine environment

Aminossadati

Mohammed

Shemshad

2010

Tunnelling and Underground Space Technology

View full text Add to dashboard Cite

“…Liang et al [ 29 ] studied to determine a suitable heating range for infrared gas sensors and established an error optimization model to study an in-situ online monitoring system for coal mine gas. A distributed optical fiber temperature sensing system based on Raman scattering was presented and applied in the goaf in recent years [ 30 ]. The optical fiber detection technology for measuring temperature in the goaf has been increasingly emphasized.…”

Section: Introductionmentioning

confidence: 99%

Two-dimensional inverse problem of fire location in the closed goaf of coal mine based on optical fiber sensors

Liu,

Chen,

Wang

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Monitoring the temperature to determine the fire source locations is essential for controlling the spontaneous combustion in the goaf. Optical fiber sensors are employed to measure the temperature distribution in the goaf. However, due to changes in the geological conditions and the influence of the falling rocks in the goaf, only sensors on the upper side of the uncompacted goaf, due to inclination and coal pillar, may remain. Unilateral sensors are located on the upper side of the goaf, while fire occurs in the center. To investigate the issue with linear unilateral sensors, a two-dimensional inverse method has been developed to determine the location of fire sources by considering heat transfer after a fire inside the goaf. The equations were theoretically solved using Green’s function method to obtain the internal temperature distribution of the physical model of the goaf. Sensitivity analysis identified the most crucial parameters in the process of spontaneous heating at different temperature. The fire source location can be determined using a loop method based on the model calculations. We considered a case to validate the model. Accurately identifying the fire source location in the goaf using the unilateral sensors has an essential theoretical and practical significance for fire prevention and fighting.

show abstract

“…Raman-based distributed temperature sensor is widely used in power grid monitoring [1], mine safety monitoring [2], nuclear environmental safety monitoring [3] and other fields due to its strong resistance to electromagnetic and radiative interference and excellent distributed measurement capability.…”

Section: Introductionmentioning

confidence: 99%

Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter

Wang¹,

Liu²,

Wang³

2019

OJAppS

View full text Add to dashboard Cite

The accuracy of temperature measurement is often reduced due to random noise in Raman-based distributed temperature sensor (RDTS). A noise reduction method based on a nonlinear filter is thus proposed in this paper. Compared with the temperature demodulation results of raw signals, the proposed method in this paper can reduce the average maximum deviation of temperature measurement results from 4.1˚C to 1.2˚C at 40.0˚C, 50.0˚C and 60.0˚C. And the proposed method in this paper can improve the accuracy of temperature measurement of Raman-based distributed temperature sensor better than the commonly used wavelet transform-based method. The advantages of the proposed method in improving the accuracy of temperature measurement for Raman-based distributed temperature sensor are quantitatively reflected in the maximum deviation and root mean square error of temperature measurement results. Therefore, this paper proposes an effective and feasible method to improve the accuracy of temperature measurement results for Raman-based distributed temperature sensor.

show abstract

Application of Distributed Optical Fiber Temperature Sensing System Based on Raman Scattering in Coal Mine Safety Monitoring

Cited by 16 publications

References 4 publications

Distributed temperature measurements using optical fibre technology in an underground mine environment

Distributed temperature measurements using optical fibre technology in an underground mine environment

Two-dimensional inverse problem of fire location in the closed goaf of coal mine based on optical fiber sensors

Research on Noise Reduction Approach of Raman-Based Distributed Temperature Sensor Based on Nonlinear Filter

Contact Info

Product

Resources

About