基于多项式回归模型的气体传感器漂移矫正方法

Drift correction method of gas sensor based on polynomial regression model

针对气体传感器漂移问题,提出了基于多项式回归模型的气体传感器漂移矫正方法:所提方法在分析了气体传感器漂移原理的基础上,通过实验得到了漂移规律并构建了多项式回归模型;通过对多项式回归模型和偏最小二乘回归模型的评价,证明了前者的优越性;运用所提方法进行气体传感器气体检测的实验验证,结果表明:基于多项式回归模型气体传感器漂移矫正方法对气体识别精度的提高十分有效。

To solve the problem of gas sensor drift,a method of gas sensor drift correction based on polynomial regression model is proposed. Based on analysis on drift principle of gas sensor,the drift rule is obtained by experiment and the polynomial regression model is constructed.Experimental results of gas sensor detection using this method show that the drift correction method based on polynomial regression model is effective to improve the precision of gas identification.