分布式光纤传感网络的定位算法与系统设计

发布时间：2018-06-19 00:03

本文选题：分布式光纤传感网络 + Labview　；参考：《大连海事大学》2015年硕士论文

【摘要】：伴随着社会经济的快速发展,对通信电缆(包括海底电缆)、石油运输管道、天然气运输管道、高压电网等这些基础设施的安全监测问题成为了社会研究的热点。特别是近些年来,由于非法施工、自然灾害及人为破坏等因素而频频引发的管道泄漏、高压线盗取和非法入侵等恶劣事件,不仅给国家和人民的经济财产造成重大损失,而且还给人们的生命安全和生存环境带来巨大威胁。因此,针对各种危及电缆、管道安全及安防系统中非法入侵行为的及时发现和有效定位具有重要的研究价值和现实意义。本课题来源于与天津大学合作的国家973项目“光纤智能传感网实验平台关键技术及其应用的基础研究”课题,负责其中“恶劣环境对分布式传感网偏振及定位影响研究”子项目。本文以提高分布式光纤传感网络的定位精度为目标,采用短时能量、短时平均过零率和广义互相关等手段,对采集得到的分布式光纤传感网络的数据进行定位计算,实现对地上信号以及地下信号的准确定位,提高整个分布式光纤传感网络定位系统的精度。本文主要完成了以下几方面的工作：(1)在对分布式光纤传感网络了解与掌握的基础上,设计了基于双Mach-Zehnder干涉环的分布式光纤传感定位系统,并依据Mach-Zehnder干涉仪的原理推导出了分布式光纤传感网络定位算法中的定位公式。(2)将语音信号处理技术中的短时平均过零率算法和短时能量算法应用到分布式光纤传感定位系统中,并且针对地上数据和地下数据采用不同的定位算法,以消除外界环境噪声对分布式光纤传感网络定位系统的影响,并通过天津大学现场采集的大量数据进行分析和验证,实现对人为破坏行为的准确定位。(3)基于NI Labview软件平台,设计并实现了数据读取模块、FIR数字带通滤波器模块、短时平均过零率算法模块、短时能量算法模块以及广义互相关定位算法模块的编写,设计完成了一整套基于虚拟仪器技术的分布式光纤传感网络定位系统。
[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.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN929.1;TP212.9

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