作者
Hailong Zhang,Fuchao Tian,Yu Zhang,Yuntao Liang
摘要
The special environment of underground coal mines, characterized by low altitude, positive and negative pressure ventilation, and complex working conditions, leads to significant fluctuations in air pressure and temperature. These fluctuations notably affect the accuracy of gas sensors. In particular, when conventional gas sensors (e.g., electrochemical, catalytic combustion, thermal conductivity, optical interference, tunable diode laser absorption spectroscopy (TDLAS), Fourier transform infrared (FTIR), and near-infrared (NIR) sensors) are deployed in underground environments, variations in temperature and atmospheric pressure can induce sensor response deviations, which, in turn, may compromise the accurate detection of gas concentrations. Temperature changes influence the internal reaction rates, electronic properties, and material characteristics of sensors, while pressure changes alter gas density, further impacting measurement results. This issue is especially evident in spectroscopic sensors (e.g., TDLAS and FTIR), where temperature and pressure fluctuations can cause shifts in the absorption spectrum, thereby affecting gas absorption characteristics and detection accuracy. To mitigate these effects, various temperature and pressure compensation methods have been proposed, including internal sensor compensation circuits, external environmental monitoring sensors, and algorithmic adjustments. These strategies aim to enhance the stability and accuracy of gas sensors in dynamic environments. However, current compensation methods still face challenges, particularly in accurately modeling the effects of temperature and pressure on sensor responses, and optimizing compensation algorithms to ensure both real-time performance and measurement accuracy. Future developments in gas sensors are likely to focus on multi-sensor fusion, intelligent self-calibration technologies, the creation of high-sensitivity and high-selectivity sensors, and the enhancement of environmental adaptability. Such advancements could significantly improve the reliability and accuracy of gas sensors in extreme environments, ultimately providing more precise gas detection support for the safe operation of coal mines.