Research on Pressure Compensation Method for Methane Detection Based on GA-BP Laser
LI Zhifu
Abstract：In recent years,TDLAS technology has become one of the most important technologies for achieving high-precision methane gas measurement.However,changes in pressure can affect the absorption coefficient of methane gas,causing detection errors.Therefore,designing high-precision,stable,and easy to implement methane gas pressure compensation methods is a key issue that urgently needs to be solved.In response to the problem of traditional BP neural network algorithms being prone to local minimization and low efficiency in local optimization.A method was proposed for pressure compensation of methane gas measurement data using a fusion of GA genetic algorithm with excellent global optimization ability and BP neural network.The experimental results showed that the pressure compensation effect obtained by using GA-BP algorithm was significantly better than that obtained by using traditional BP neural network algorithm,with superior pressure compensation accuracy,which ultimately proved the feasibility of using this method and provided reference value for pressure compensation methods in methane gas detection.
Keywords：TDLAS technologymethane gas detectionpressure compensationBP neural networkGA genetic algorithmGA-BP algorithm
Publication Date：2024-08-12
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1-5 )