分布式光纖振動(dòng)傳感系統(tǒng)技術(shù)的研究與實(shí)現(xiàn)
[Abstract]:Distributed optical fiber sensing technology is a kind of sensing technology which has been developed rapidly and widely used in recent years, because of its low cost, good concealment, high sensitivity and high temperature resistance. Because of its excellent characteristics such as corrosion resistance and strong resistance to electromagnetic interference, it has broad application prospects in the fields of border security, community safety, long-distance pipeline monitoring, seismic monitoring and building structure monitoring and so on. At present, the research focus of distributed optical fiber sensing technology is the improvement of optical fiber sensing structure, but the signal processing, especially the extraction of characteristic parameters, is less studied. The performance of a distributed optical fiber sensing system depends not only on whether it can perceive the external disturbance, but also on whether it can accurately identify the disturbance as an external disturbance or an intrusion behavior. In order to identify and analyze the intrusion vibration signal better, through the research and analysis of the distributed optical fiber sensor structure and vibration signal recognition technology, according to the characteristics of the vibration signal, the speech signal processing method is used for reference. Its processing method is introduced to the analysis of the optical fiber vibration signal processing. On the basis of introducing the basic principle of distributed optical fiber sensing, this paper focuses on several kinds of optical fiber sensing structures, which are widely used at present. After comparing and analyzing its merits and demerits, we choose Mah-Zendel optical fiber sensing structure as the optical fiber sensing structure in this paper. Then, several kinds of common signal processing algorithms are introduced from time domain, frequency domain and speech signal recognition algorithms, and the advantages and disadvantages of each algorithm are analyzed. Finally, one algorithm is selected from frequency domain and speech signal recognition algorithm to compare and analyze. Then the paper introduces the architecture of the system, which focuses on the host computer system, including the front-end interface, data storage and algorithm processing and analysis module; Finally, two kinds of signals, rain and intrusion, are collected and analyzed by two different algorithms. The results show that the algorithm based on speech signal processing can not only be applied to the analysis of optical fiber vibration signal. And its recognition accuracy is higher.
【學(xué)位授予單位】:華中科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:TN253
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 段紹輝;田杰;周正仙;王曉華;徐邦聯(lián);;分布式光纖傳感技術(shù)在電力電纜監(jiān)測的應(yīng)用[J];激光雜志;2014年03期
2 田莎莎;唐菀;佘緯;;改進(jìn)MFCC參數(shù)在非特定人語音識(shí)別中的研究[J];科技通報(bào);2013年03期
3 王賀;孫琪真;李曉磊;劉德明;;干涉型分布式光纖振動(dòng)傳感技術(shù)的研究進(jìn)展[J];激光與光電子學(xué)進(jìn)展;2013年02期
4 侯正田;侯承志;徐武松;;光纖傳感器及其醫(yī)學(xué)應(yīng)用[J];甘肅科技;2012年05期
5 賀玲玲;周元;;基于改進(jìn)MFCC的異常聲音識(shí)別算法[J];重慶工商大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年02期
6 閆奇眾;;光纖傳感周界入侵防范系統(tǒng)技術(shù)現(xiàn)狀及市場前景淺析[J];烽火科技;2012年01期
7 毛健;趙紅東;姚婧婧;;人工神經(jīng)網(wǎng)絡(luò)的發(fā)展及應(yīng)用[J];電子設(shè)計(jì)工程;2011年24期
8 趙乃卓;林賢洪;;基于分布式光纖傳感器的管道安全檢測[J];光譜實(shí)驗(yàn)室;2011年05期
9 劉德明;孫琪真;;分布式光纖傳感技術(shù)及其應(yīng)用[J];激光與光電子學(xué)進(jìn)展;2009年11期
10 郭常盈;鄭珂;;基于小波變換閾值的光干涉信號(hào)去噪[J];激光技術(shù);2009年05期
相關(guān)碩士學(xué)位論文 前4條
1 蘇旭峰;分布式光纖振動(dòng)傳感系統(tǒng)的數(shù)據(jù)采集與處理[D];北京郵電大學(xué);2010年
2 彭峰;基于多芯光纖的加速度檢測方法研究[D];哈爾濱工程大學(xué);2009年
3 羅強(qiáng);基于Sagnac環(huán)的光纖圍欄報(bào)警系統(tǒng)研究[D];武漢理工大學(xué);2008年
4 李建中;基于POTDR的分布式光纖傳感技術(shù)及其應(yīng)用[D];電子科技大學(xué);2008年
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