一种甲烷浓度确定方法、装置、电子设备和存储介质

By performing empirical mode decomposition and Fourier transform processing on the absorbance signal of the TDLAS methane monitoring system, interference noise was screened and eliminated, solving the problem of interference fringes affecting the determination of methane concentration and improving the monitoring accuracy.

CN122193155BActive Publication Date: 2026-07-17天津新智感知科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
天津新智感知科技有限公司
Filing Date
2026-05-13
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the TDLAS methane monitoring system suffers from interference fringes caused by multiple reflections from the optical window and lens surface, which affects the detection accuracy and sensitivity, resulting in inaccurate determination of methane concentration.

Method used

The absorbance signal is processed by empirical mode decomposition to screen out intrinsic mode functions that may contain interference noise. Fourier transform is then performed to calculate the energy ratio to remove interference noise and reconstruct the signal to improve accuracy.

Benefits of technology

It achieves precise suppression of interference noise and improves the accuracy of methane concentration determination.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了一种甲烷浓度确定方法、装置、电子设备和存储介质。甲烷浓度确定方法包括:获取包含干涉噪声的透射信号,并根据透射信号确定吸光度信号;对吸光度信号进行经验模态分解处理,确定多组固有模态函数;根据每一固有模态函数的模糊熵进行预筛选,确定预剔除固有模态函数;对预剔除固有模态函数进行傅里叶变换处理,并计算第一能量占比确定剔除固有模态函数;对除剔除固有模态函数之外的其他固有模态函数进行信号重构处理,确定重构吸光度信号;根据重构吸光度信号确定甲烷浓度。本发明实现了干涉噪声的精准抑制,提高了甲烷浓度确定的精准度。
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