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The Study on Modeling and Simulation of Infrared Lidar to Measure Methane Concentration

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Tutor: FuHua
School: Liaoning Technical University
Course: Detection Technology and Automation
Keywords: Lidar,Information processing algorithm,Atmospheric turbulence,Modeling simulatio
CLC: TN958.98
Type: Master's thesis
Year:  2011
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Abstract:
Methane is a kind of inflammable and explosive gas, it is the main component of mine gas. The gas disaster is always a main factor that restricts the coal safety. Therefore, an accurate real-time detection of methane concentrations has the extremely vital significance.This paper researches an infrared lidar to detect methane concentrations in the down mine based on the spectrum absorption that can remote detect the real-time and accurate methane gas of environment. First of all, according to an infrared lidar detection principle and the environment of the down mine, an infrared lidar system model is analyzed and established. Secondly, according to the model of lidar, the echo signal statistical model is studied, and the influence of the stripes and interference noise is studied for the echo signal statistical model; Then, the kalman filtering algorithm is put forward to process signal, Finally, according to the established infrared laser model and the information processing algorithms, the corresponding simulation system is researched and established by using the matlab software. The results of the study indicate that: the established radar system model accords with the actual and the proposed signal processing algorithm can better extract methane gas concentrations.The established simulation system can intuitively and conveniently appraise and analyze the infrared lidar to detection methane gas concentrations in the down mine, and helps the scheme and performance improvement of the infrared lidar, is a kind of science and economic research means.
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