Quantitative analysis model for gas volume fraction based on time response characteristics extraction

LUO Xiao-gang; XU Feng; HOU Chang-jun; HUO Dan-qun; FA Huan-bao; YANG Mei

doi:10.13873/j.1000-97872014.01.026

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Quantitative analysis model for gas volume fraction based on time response characteristics extraction

更新时间：2025-09-11

- Quantitative analysis model for gas volume fraction based on time response characteristics extraction
- Vol. 33, Issue 1, Pages: 31-34(2014)
- 作者机构：
  
  重庆大学生物工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872014.01.026
  CLC： TP212.2
- Published：2014
- 稿件说明：
移动端阅览
[1]罗小刚,徐峰,侯长军,霍丹群,法焕宝,杨眉.基于时间响应特征提取的气体体积分数定量分析模型[J].传感器与微系统,2014,33(01):31-34.

LUO Xiao-gang, XU Feng, HOU Chang-jun, et al. Quantitative analysis model for gas volume fraction based on time response characteristics extraction[J]. 2014, 33(1): 31-34.
[1]罗小刚,徐峰,侯长军,霍丹群,法焕宝,杨眉.基于时间响应特征提取的气体体积分数定量分析模型[J].传感器与微系统,2014,33(01):31-34. DOI： 10.13873/j.1000-97872014.01.026.

LUO Xiao-gang, XU Feng, HOU Chang-jun, et al. Quantitative analysis model for gas volume fraction based on time response characteristics extraction[J]. 2014, 33(1): 31-34. DOI： 10.13873/j.1000-97872014.01.026.

摘要

体积分数检测中

常常存在时间响应曲线出现延迟或提前的情况

传统方法（如神经网络）无法进行矫正

继而影响检测的准确性。通过对样本的时间响应曲线的观察分析

发现该曲线的最大曲率点与样本体积分数存在某种联系。基于此

提出了一种体积分数定量分析模型。通过对16组不同体积分数的NH3和丙酮的实验

发现使用该模型对时间响应曲线进行矫正后

测量结果的一致性得到很大的提高。当变异系数分别大于0.17

0.5时

检测结果一致性改善的比例分别可达87.5%

88.9%

进一步证明了该方法的有效性。

Abstract

In volume fraction detection

time response curve often occur time delay or advance case

traditional methods（e. g. neural networks） cannot correct it

thereby affect accuracy of detection. Based on observation and analysis on time response curve

it is found that there exists a relation between the maximum curvature point of the curve and volume fraction of sample. Based on this

propose a quantitative volume fraction analysis model for gas.By experiment of 16 groups different volume fraction of ammonia and acetone respectively

it is found that after using this model to correct time response curve is improved consistency of the measurement results greatly. When the coefficient of variation are greater than 0. 17 and 0. 5 respectively

the corresponding improvement percentage of test results consistency are 87. 5 % and 88. 9 %

which further verifies the effectiveness of this method.

关键词

Keywords

references

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Colorimetric Artificial Nose and Pattern Recognition Methods for the Concentration Analysis of NH3 [J] . Ya Zhang,Xiao-gang Luo,Kun He,Dan-qun Huo,Jingjing Liu,Ping Liu,Xiao-jie Shi,Chang-jun Hou. Water, Air, & Soil Pollution . 2012 (6)

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