摘要
针对单组分毒气识别与单组分毒气痕量浓度测量的需求,本文提出了以吸收光谱为检测手段、采用多点测量技术方案的毒气阵列检测系统,并以金属卟啉为敏感物质研制了一种新型的阵列式气敏传感器。重点研究了检测系统的工作原理和两种毒气模拟品的光谱响应模式,给出了响应模式的偏最小二乘法与BP神经网络组合的识别模型和痕量浓度测量的计算算法。实验结果表明,本系统对气态甲基磷酸二甲酯(DMMP)与气态二甲苯(DMB)两种毒气模拟品和沙林、梭曼与光气三种毒气共50个未知样本预测识别的正确率为98%,两种毒气模拟品(DMMP和DMB)的最大相对测量误差为3%。
In allusion to the requirement of single-component gases identification and trace concentration measure, a gas array inspect system is put forward based on absorption spectrum measure and multi-spot measure technology, and a novel array gas-sensitive sensor is developed which takes metallic porphytin as sensitive material. In addition, the principle of the system and the spectral response pattern for two kinds of gaseous simulacrums are mainly researched, and partial least square combined with BP neural networks recognition model for response pattern and calculative algorithm for trace concentration measure are provided. At last, the experimental results show that the prediction correct rate for 50 unknown samples of gaseous Dimethyl Methyl Phosphonate （DMMP）, Dimethyl Benzene （DMB）, Satin, Soman and Phosgene is 98%, and the maximum relative measuring errors of gaseous DMMP and gaseous DMB are 3%.
出处
《光电工程》
CAS
CSCD
北大核心
2009年第1期68-72,共5页
Opto-Electronic Engineering
基金
国家"863"计划资助项目(2006AA04Z349)
关键词
毒气检测
吸收光谱
多点测量
阵列式传感器
模式识别
gas-detecting
absorption spectrum
multi-spot measuring
array-sensor
pattern recognition
