本文選題：分布式光纖傳感網(wǎng)絡 + Labview��； 參考：《大連海事大學》2015年碩士論文

【摘要】：伴隨著社會經(jīng)濟的快速發(fā)展,對通信電纜(包括海底電纜)、石油運輸管道、天然氣運輸管道、高壓電網(wǎng)等這些基礎設施的安全監(jiān)測問題成為了社會研究的熱點。特別是近些年來,由于非法施工、自然災害及人為破壞等因素而頻頻引發(fā)的管道泄漏、高壓線盜取和非法入侵等惡劣事件,不僅給國家和人民的經(jīng)濟財產(chǎn)造成重大損失,而且還給人們的生命安全和生存環(huán)境帶來巨大威脅。因此,針對各種危及電纜、管道安全及安防系統(tǒng)中非法入侵行為的及時發(fā)現(xiàn)和有效定位具有重要的研究價值和現(xiàn)實意義。本課題來源于與天津大學合作的國家973項目“光纖智能傳感網(wǎng)實驗平臺關鍵技術及其應用的基礎研究”課題,負責其中“惡劣環(huán)境對分布式傳感網(wǎng)偏振及定位影響研究”子項目。本文以提高分布式光纖傳感網(wǎng)絡的定位精度為目標,采用短時能量、短時平均過零率和廣義互相關等手段,對采集得到的分布式光纖傳感網(wǎng)絡的數(shù)據(jù)進行定位計算,實現(xiàn)對地上信號以及地下信號的準確定位,提高整個分布式光纖傳感網(wǎng)絡定位系統(tǒng)的精度。本文主要完成了以下幾方面的工作：(1)在對分布式光纖傳感網(wǎng)絡了解與掌握的基礎上,設計了基于雙Mach-Zehnder干涉環(huán)的分布式光纖傳感定位系統(tǒng),并依據(jù)Mach-Zehnder干涉儀的原理推導出了分布式光纖傳感網(wǎng)絡定位算法中的定位公式。(2)將語音信號處理技術中的短時平均過零率算法和短時能量算法應用到分布式光纖傳感定位系統(tǒng)中,并且針對地上數(shù)據(jù)和地下數(shù)據(jù)采用不同的定位算法,以消除外界環(huán)境噪聲對分布式光纖傳感網(wǎng)絡定位系統(tǒng)的影響,并通過天津大學現(xiàn)場采集的大量數(shù)據(jù)進行分析和驗證,實現(xiàn)對人為破壞行為的準確定位。(3)基于NI Labview軟件平臺,設計并實現(xiàn)了數(shù)據(jù)讀取模塊、FIR數(shù)字帶通濾波器模塊、短時平均過零率算法模塊、短時能量算法模塊以及廣義互相關定位算法模塊的編寫,設計完成了一整套基于虛擬儀器技術的分布式光纖傳感網(wǎng)絡定位系統(tǒng)。
[Abstract]:With the rapid development of social economy, the safety monitoring of communication cable (including submarine cable, oil transportation pipeline, natural gas transportation pipeline, high voltage power network, etc.) has become the focus of social research. Especially in recent years, the frequent leakage of pipelines caused by illegal construction, natural disasters and man-made destruction, the theft of high-voltage lines and illegal incursions have not only caused great losses to the economic property of the state and the people, It also brings great threat to people's life safety and living environment. Therefore, it is of great research value and practical significance to detect and locate the illegal intrusion behavior in the cable, pipeline safety and security system. This topic comes from the national 973 project "key Technology and basic Research on the Application of Optical Fiber Intelligent Sensor Network experiment platform", which is in cooperation with Tianjin University. Responsible for the "adverse environment on the distributed sensor network polarization and positioning research" subproject. In order to improve the positioning accuracy of the distributed optical fiber sensor network, this paper uses short-term energy, short-time average zero-crossing rate and generalized cross-correlation to locate and calculate the data collected from the distributed optical fiber sensor network. The above ground signal and underground signal can be accurately located and the precision of the whole distributed optical fiber sensor network can be improved. Based on the understanding and mastery of distributed optical fiber sensor network, a distributed optical fiber sensor positioning system based on double Mach-Zehnder interference ring is designed in this paper. According to the principle of Mach-Zehnder interferometer, the localization formula of distributed optical fiber sensor network is derived. The short time average zero crossing rate algorithm and short time energy algorithm of speech signal processing technology are applied to distributed optical fiber sensor positioning system. In order to eliminate the influence of environmental noise on the distributed optical fiber sensor network location system, different localization algorithms are adopted for the above ground data and underground data, and a large number of data collected by Tianjin University are analyzed and verified. Based on NI LabVIEW software platform, the data reading module and Fir digital band-pass filter module and the short-time average zero crossing rate algorithm module are designed and implemented. A set of distributed optical fiber sensor network positioning system based on virtual instrument technology is designed and implemented by the short time energy algorithm module and the generalized cross correlation algorithm module.
【學位授予單位】：大連海事大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN929.1;TP212.9

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本文編號：2037396