基于BP神经网络的红外可燃气体探测器温度补偿研究
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摘要
针对红外可燃气体探测器输出电压随温度变化,而又缺乏理论补偿公式的情况,提出采用BP神经网络对基于NDIR的可燃气体探测器进行温度补偿的方法,解决了以往温度补偿通过硬件补偿带来的探测器体积大、重量增加的弱点;与已有的软件补偿方法相比,BP神经网络方法通过对数据进行训练、学习获得温度补偿模型,得到了较好的结果,使得红外可燃气体探测器具有较宽的使用温度范围。
The output voltage of infrared combustible gas detector varies with temperature,however,there is no theoretical formula which can be used to compensate this influence.In this paper,a temperature compensation method is proposed for NDIR combustible gas detector,based on the BP neural network.Compared with the existing software compensation methods, the new method can use data training and learning to achieve better temperature compensation models,which can realize a wider usage temperature range of the infrared combustible gas detector.
The output voltage of infrared combustible gas detector varies with temperature,however,there is no theoretical formula which can be used to compensate this influence.In this paper,a temperature compensation method is proposed for NDIR combustible gas detector,based on the BP neural network.Compared with the existing software compensation methods, the new method can use data training and learning to achieve better temperature compensation models,which can realize a wider usage temperature range of the infrared combustible gas detector.
引文
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[2]李黎,等.红外气体检测技术在天然气安全生产中的应用[J].天然气工业,2011,31(1):96-99.
[3]康永济.红外线气体分析器[M].北京:化学工业出版社,1993.
[4]靳斌,等.红外气体分析器非线性误差和温度效应误差修正方法[J].红外与激光工程,1997,26(1):57-60.
[5]Yasuda T,et al.Comparison of the characteristics of small commercial NDIR CO2sensor models and development of a portable CO2 measurement device[J].Sensors,2012,12(3):3641-3655.
[6]李翠萍,等.基于多参数模型的非分散红外光谱气体检测稳定性方法研究[J].光谱学与光谱分析,2012,32(11):2976-2980.
[7]赵建华,等.基于神经网络的火灾烟雾识别方法[J].光学学报,2003,23(9):1086-1089.
[8]赵建华,等.PLS-BP法定量分析火灾中的常见有毒有害气体[J].火灾科学,2010,19(3):158-164.
[9]高明亮.基于傅立叶变换红外光谱技术的多组分气体定量分析研究[D].合肥:中国科学技术大学,2010.
[10]陆婉珍.现代近红外光谱分析技术(第二版)[M].北京:中国石化出版社,2007.
[11]许禄,邵学广.化学计量学方法(第二版)[M].北京:科学出版社,2004.