Answers are grounded in this paper and cite their sources.
Evaluates methane concentration detection in coal mines, suggesting improved accuracy with new model.
The methane (CH 4 ) gas concentration detection system is designed based on tunable diode laser absorption spectroscopy (TDLAS) technology. In this system, a distributed feedback (DFB) laser with the central wavelength of 1653.7 nm is used as the light source, and a multi‐pass gas cell (MPGC) with an optical path of 20 m is used as the gas absorption cell. The concentration inversion model is constructed based on the fireworks (FWA) and least squares support vector machine (LSSVM) algorithm, and it is used to invert the second harmonic (2f) signals corresponding to different concentrations of CH 4 gas to verify its performance, where the root mean square error (RMSE) is 3.2896 ppm and R 2 is 0.9996. Compared with the classical least squares method (CLS) algorithm, the constructed concentration inversion model can effectively improve the detection accuracy of the system and achieve high‐precision inversion of the absorption spectrum signals.
No takes yet. Share an insight, caveat, or question.
Jia et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: