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 porphyrin 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), Sarin, Soman and Phosgene is 98%, and the maximum relative measuring errors of gaseous DMMP and gaseous DMB are 3%.