红外甲烷传感器红外吸收模型研究  

Study on Absorption Model of Infrared Methane Sensor

作　　者：贾晓娣 JIA Xiaodi(China Coal Research Institute,Beijing 100013,China;State Key Laboratory of High Efficient Mining&Clean Utilization of Coal Resource,Beijing 100013,China;Beijing Mine Safety Engineering Technology Research Center,Beijing 100013,China)

机构地区：[1]煤炭科学技术研究院有限公司,北京100013 [2]煤炭资源高效开采与洁净利用国家重点实验室,北京100013 [3]北京市煤矿安全工程技术研究中心,北京100013

出　　处：《自动化与仪器仪表》2022年第7期83-85,共3页Automation & Instrumentation

基　　金：煤炭科学技术研究院有限公司技术创新基金项目(2021CX-II-19)。

摘　　要：阐述了气体吸收红外光能量的一般方法,红外吸收的气体检测理论和定量检测物质浓度的朗伯-比尔定律,介绍了几种基于红外吸收的建模方法及存在问题,综合考虑温度,湿度等因素影响,提出了一种甲烷传感器神经网络模型,并将带遗忘因子的梯度下降法应用于RBF(Redial Basic Function)RBF神经网络的参数调整,最终建立起了基于RBF神经网络的红外甲烷传感器数学模型,实验结果表明,该模型有较好的准确性和测试精度,使用该方法建立的模型正确有效。The general method of gas absorbing infrared light is introduced,the gas detection theory of infrared absorption and Lambert Beer law for quantitative detection of substance concentration are described,Several modeling methods based on infrared absorption and their existing problems are analyzed,Considering the influence of temperature and humidity,a neural network model of methane sensor is put forward,the gradient descend algorithm with a momentum factors is applied to adjust the parameters of RBF neural network,such that the mathematic model of infrared methane sensor which is based on RBF neural network is established.The experimental results show that the model has good accuracy and test accuracy,and the model established by this method is correct and effective.

关 键 词：红外检测 甲烷传感器 吸收模型 RBF神经网络 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]