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基于ARM9的電子鼻系統(tǒng)設(shè)計與應(yīng)
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and Application of an Electronic Nose System Based on ARM9
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    摘要:

    提出了一種基于嵌入式電子鼻的設(shè)計方案,，主要包括傳感器陣列,、模數(shù)轉(zhuǎn)換和微處理器3大模塊,。采用Figaro公司TGS813,、TGS825,、TGS880 3個氣敏傳感器組成的傳感器陣列采集樣品信號,；利用MAXIM公司的MAX1270芯片進(jìn)行模數(shù)轉(zhuǎn)換,；CPU采用SAMSUNG公司的S3C2410微處理器,，并在其上移植了WINCE操作系統(tǒng),。軟件設(shè)計對采集信號進(jìn)行對數(shù)擬合,，采用引進(jìn)BP神經(jīng)網(wǎng)絡(luò)對擬合后的曲線參數(shù)進(jìn)行訓(xùn)練，建立模型并對樣本進(jìn)行識別利用該系統(tǒng)對4種不同生產(chǎn)日期的意大利巴馬臣干酪和3家公司的純牛奶進(jìn)行了測試,，識別準(zhǔn)確率均達(dá)到100%,。結(jié)果表明該系統(tǒng)具有體積小、重量輕,、使用方便靈活且識別準(zhǔn)確率高等優(yōu)點(diǎn),。

    Abstract:

    An embedded electronic nose is developed including three modules, a sensor array, an A/D system, and a microprocessor. The sensor array composed of three gas sensors, TGS813,TGS825 and TGS880 produced by Figaro company, is used to collect sample signal. A MAX1270 chip produced by MAXIM company is used as A/D converter. The S3C2410 microprocessor produced by SAMSUNG company is used as CPU with the embedded operating system WINCE. The signal is simulated by a logarithm curve by designed software, and BP neural network is used to train the curve parameters and build the model to identify the samples. This system is used to identify Italian Ambrosi cheese with four different production dates, and the recognition accuracy reaches 100%. To identify pure milk in three different companies, the recognition accuracy reaches 100% too. The results show that the system has several advantages such as small size, light weight, easy to use, high recognition accuracy etc.

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白福銘,黃品文,鄭麗敏,田立軍,吳平,任發(fā)政.基于ARM9的電子鼻系統(tǒng)設(shè)計與應(yīng)[J].農(nóng)業(yè)機(jī)械學(xué)報,2009,40(Z1):138-142. and Application of an Electronic Nose System Based on ARM9[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):138-142.

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