基于非色散红外CO_2浓度测量的温度补偿研究

Research on temperature compensation for CO_2 concentration measurement based on NDIR

非色散红外(Non-dispersed Infrared,NDIR)CO2气体传感器测量CO2浓度时,外部温度是个重要的影响因素。利用Levenberg-Marquardt算法收敛速度快的优点,建立改进型BP神经网络模型,消除环境温度对CO2浓度在线监测的非线性影响,提高了系统测量精度。

Environment temperature is an important influence factor in measuring CO2 concentration by NDIR CO2 sensor. As Levenberg-Marquardt algorithm has the advantage of the fast convergence speed,the model of improved BP neural network is set up. The new method decreases the non-linear effect of environment temperature on CO2 concentration on-line monitoring,and improves the measurement accuracy of the system.