本文關(guān)鍵詞： 電子鼻 毒劑檢測 SAW傳感器陣列 模式識(shí)別 PIC　出處：《電子科技大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：自第一次世界大戰(zhàn)以來,化學(xué)戰(zhàn)劑(CWA)大量被用于戰(zhàn)場,近二三十年來,更被恐怖組織所利用,已經(jīng)嚴(yán)重危害到生態(tài)環(huán)境的持續(xù)發(fā)展和全人類的生命財(cái)產(chǎn)安全。由于化學(xué)戰(zhàn)劑具有易制造、造價(jià)低、殺傷力強(qiáng)、破壞范圍廣等特點(diǎn),使得禁止化學(xué)戰(zhàn)劑使用的國際公約至今還未成功禁止一些國家與組織對(duì)化學(xué)戰(zhàn)劑的保有與研制。因此需要一種響應(yīng)快、靈敏度高、操作簡單的手持式實(shí)時(shí)檢測儀器,以聲表面波(SAW)傳感器陣列為基礎(chǔ)的痕量氣體電子鼻具有體積小、響應(yīng)快、易于攜帶等優(yōu)點(diǎn),比其它檢測手段性能更優(yōu)越。本課題就是在此背景下產(chǎn)生,利用涂覆有選擇性吸附敏感膜的聲表面波器件制備成SAW傳感器陣列,對(duì)不同種類、不同濃度的氣體進(jìn)行氣敏測試與分析,結(jié)合模式識(shí)別算法,最終可在dsPIC30F6014A單片機(jī)上實(shí)現(xiàn)對(duì)神經(jīng)毒劑模擬劑(DMMP)、芥子氣模擬劑(2-CEES與DCP)和干擾氣體(丙酮、二氯甲烷、甲醇、乙醇)的識(shí)別,并在LCD上顯示毒劑的種類與濃度。本文介紹了課題的意義、SAW氣體傳感器原理、SAW傳感器陣列的測試平臺(tái)、模式識(shí)別算法及單片機(jī)平臺(tái)算法的實(shí)現(xiàn),主要研究內(nèi)容有以下幾個(gè)方面:(1)聲表面波傳感器陣列的設(shè)計(jì):介紹了以雙通道SAW諧振器混頻電路為基礎(chǔ)的傳感器陣列的功能結(jié)構(gòu);利用氣噴工藝在3個(gè)SAW諧振器上分別噴涂氟多元醇(FPOL)、聚氰丙甲基硅氧烷(PCPMS)和聚環(huán)氧氯丙烷(PECH)這三種敏感膜,并與開蓋SAW參比器件組成傳感器陣列。(2)傳感器陣列的氣敏測試與分析:對(duì)三種毒劑模擬劑和四種干擾氣體分別在10~300 mg/m3范圍內(nèi)進(jìn)行系統(tǒng)測試和分析。結(jié)果表明FPOL-SAW對(duì)神經(jīng)毒劑具有選擇性,PECH-SAW對(duì)芥子氣有選擇性。(3)模式識(shí)別分析:利用SPSS統(tǒng)計(jì)軟件對(duì)采集的數(shù)據(jù)分別用主成分分析法(PCA)和人工神經(jīng)網(wǎng)絡(luò)(ANN)算法對(duì)氣體進(jìn)行模式識(shí)別。主成分分析模型簡單,可以用圖表直觀表示,人工神經(jīng)網(wǎng)絡(luò)算法易于理解,這兩種算法都可以將毒劑模擬劑與干擾氣體進(jìn)行區(qū)分。(4)基于dsPIC30F6014A單片機(jī)的電子鼻系統(tǒng)算法實(shí)現(xiàn):在單片機(jī)平臺(tái)上實(shí)現(xiàn)電路控制與模式識(shí)別算法,文章分別實(shí)現(xiàn)了定時(shí)\計(jì)數(shù)、預(yù)測干擾信號(hào)、氣體響應(yīng)檢測、氣體識(shí)別功能、串口發(fā)送和液晶顯示這六個(gè)模塊,最后進(jìn)行算法驗(yàn)證。
[Abstract]:Since World War I, the chemical warfare agent CWAs have been used in large numbers on the battlefield, and in the last 20 or 30 years, they have been used by terrorist organizations. Chemical warfare agents are easy to manufacture, low cost, strong killing power, wide range of destruction and so on. So far, the international convention against the use of chemical warfare agents has not been successful in prohibiting the retention and development of chemical warfare agents in some countries and organizations. Therefore, a rapid response and high sensitivity are required. The electronic nose of trace gas based on saw sensor array has the advantages of small volume, fast response and easy to carry. The performance of SAW sensor array is better than that of other detection methods. In this paper, the surface acoustic wave devices coated with selective adsorption sensitive film are used to fabricate the SAW sensor array, for different kinds of sensors. Gas sensitivity test and analysis of different concentrations of gas, combined with the pattern recognition algorithm, can be implemented on the dsPIC30F6014A microcontroller to simulate the nerve agent (DMMP). The identification of mustard gas simulants (LCD) and interference gases (acetone, dichloromethane, methanol, ethanol), and the types and concentrations of the agents on LCD. The significance of the subject is introduced in this paper. The principle of SAW gas sensor is used to realize the test platform of saw sensor array, the algorithm of pattern recognition and the algorithm of MCU platform. The main research contents are as follows: 1) the design of saw sensor array: the functional structure of sensor array based on dual-channel SAW resonator mixing circuit is introduced. Three kinds of sensitive films were sprayed on three SAW resonators by gas injection, including fluorine polyol, poly (cyanopropylmethyl) siloxane (PCPMS) and polyepichlorohydrin (SAW). The sensor array is composed of an open-cap SAW reference device. Gas sensitivity Test and Analysis of Sensor Array: three toxic simulants and four interference gases were measured at 10: 300. The results of systematic test and analysis within mg/m3 showed that FPOL-SAW was selective to nerve agent. PECH-SAW pattern recognition analysis for mustard gas: using SPSS software to analyze the collected data by principal component analysis (PCA) and artificial neural network (Ann). The principal component analysis (PCA) model is simple. The artificial neural network algorithm is easy to understand. Both algorithms can distinguish the toxic analogue from the interfering gas. The algorithm of electronic nose system based on dsPIC30F6014A microcontroller is realized: the circuit control and pattern recognition algorithm are realized on the platform of single chip microcomputer. In this paper, the six modules of timing\ counting, predicting interference signal, gas response detection, gas recognition function, serial port sending and liquid crystal display are implemented respectively. Finally, the algorithm is verified.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN65

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相關(guān)期刊論文 前1條

1 胡佳;杜曉松;蔣亞東;;用于檢測VOC蒸汽的聲表面波傳感器陣列[J];儀表技術(shù)與傳感器;2013年02期

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本文編號(hào)：1457754