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Proceedings Paper

Study on network model for methane concentration detection based on time and space division multiplexing technology
Author(s): Mengran Zhou; Hao Li; Xuan Xie
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Paper Abstract

In the monitoring system of coal mine gas, due to the use of optical fiber sensing gas, there were some defects include less monitoring points, low utilization rate of equipment and especially high cost, etc.Arming at the existing problem, through the study of network model for methane concentration detection, the monitoring system could achieve multi-point, wide-range online monitoring of methane concentration in real time.Based on the optical multiplexing technology, this paper proposed a optical network model of mixed multiplexing technology combined with the time division multiplexing (TDM) and the space division multiplexing (SDM) technology.The model realized 32 points of gas concentration monitoring with 4 points of space division multiplexing and 8 points of time division multiplexing which is more mature and stable.The experiment show that the accuracy of the 32 sensors’ minimum detectable gas has reached 5ppm and the changes in responsiveness and gas concentration trends are consistent with the theoretical analysis, which is linear in a certain range.Considering the characteristics of EFPI optical fiber sensor, the model makes full use of the advantages of two multiplexing technologies, time division multiplexing and space division multiplexing technology.The network model combines the use of optical fiber in a gas concentration monitoring system to improve the efficiency of the light source and optical signal processing equipment and greatly reduce the cost of system.The accuracy and stability of each sensor can meet the actual requirements to make the monitoring system achieve the goals of stable dynamic wide-rage detection of coal mine gas.

Paper Details

Date Published: 3 December 2014
PDF: 8 pages
Proc. SPIE 9297, International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors, 92972S (3 December 2014); doi: 10.1117/12.2071338
Show Author Affiliations
Mengran Zhou, Anhui Univ. of Science and Technology (China)
Hao Li, Anhui Univ. of Science and Technology (China)
Xuan Xie, Anhui Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9297:
International Symposium on Optoelectronic Technology and Application 2014: Laser and Optical Measurement Technology; and Fiber Optic Sensors
Jurgen Czarske; Shulian Zhang; David Sampson; Wei Wang; Yanbiao Liao, Editor(s)

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