以新型处理器DSP TMS320F28335 为核心,提出一种新型的便携式气体检测系统研究方案.该方案选用6个气敏传感器和温湿度测量模块共同组成传感器阵列,结合优良气体检测模式识别算法的选取原则,运用改进的具有温湿度补偿能力的新型双BP网络对含有甲烷(CH<,4>)和氢气(H<,2>)两种混合气体中单一气体成分和混合气体成分分别进行定性识别和定量检测.实验结果表明:该方案克服了其它某些模式识别方法存在的一些不足之处,并提高了气体定性识别和定量检测的准确率,具有较高的工程应用价值.%This paper presenLed a new design method of gas detection system based on the new DSP processor TMS32OF28335. The experiment system took six metal-oxide semiconducter gas sensors as well as temperature and humidity sensors in comprising the senosr array module , followed the excellent detection principle how to choose , and chose CH4 and H2 as the teat samples and used dual-BP neural-network with the temperature and humidity compensation function as the method to recognize and measure single gas and mixed gases respectively. The result shows that the measuring instrument has higher measuring accuracy and overcomes the shortcoming of other methods, and has importlant practical application value.
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