GA-LSTM-based temperature and humidity compensation for combustible gas sensor

JIANG Xi; SHI Fanrong; LI Zonglin; WANG Wei; CHEN Yong

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GA-LSTM-based temperature and humidity compensation for combustible gas sensor

Research & Approach | 更新时间：2026-04-17

- GA-LSTM-based temperature and humidity compensation for combustible gas sensor
- Vol. 45, Issue 4, Pages: 51-55(2026)
- 作者机构：
  
  1. 西南科技大学信息工程学院,四川,绵阳,621000
  2. 四川高达科技有限公司,四川,绵阳,621000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP212
- Published：2026
- 稿件说明：
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JIANG Xi, SHI Fanrong, LI Zonglin, et al. GA-LSTM-based temperature and humidity compensation for combustible gas sensor[J]. 2026, 45(4): 51-55.
DOI：

JIANG Xi, SHI Fanrong, LI Zonglin, et al. GA-LSTM-based temperature and humidity compensation for combustible gas sensor[J]. 2026, 45(4): 51-55. DOI：

摘要

针对催化燃烧式甲烷气体传感器在不同温、湿度环境中的检测误差问题，提出了一种基于长短期记忆（LSTM）网络方法，来实现甲烷气体浓度的温湿度补偿。为解决LSTM网络参数难以确定的问题，引入了遗传算法（GA）对LSTM参数进行优化，构建了GA-LSTM补偿模型。通过实验仿真验证，相关系数(

)达到0.998，拟合效果良好，证明了该方法的先进性。该方法具有潜在的工程应用价值。

Abstract

Aiming at the detection error of catalytic combustion type methane gas sensor in different temperature and humidity environments

a method based on long short-term memory(LSTM)networks is proposed to achieve temperature and humidity compensation for methane gas concentration.To resolve the issue of indeterminate LSTM network parameters

a genetic algorithm(GA)is introduced to optimize LSTM parameters

and a GA-LSTM compensation model is constructed.Experimental simulation validation shows that the correlation coefficient(

)reaches 0.998 with excellent fitting effect

which proves superiority of this method.This method possesses potential engineering application value.

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