天津大学学报
天津大學學報
천진대학학보
JOURNAL OF TIANJIN UNIVERSITY SCIENCE AND TECHNOLOGY
2015年
1期
70-75
,共6页
安阳%靳世久%冯欣%封皓%曾周末
安暘%靳世久%馮訢%封皓%曾週末
안양%근세구%풍흔%봉호%증주말
管道安全预警%分布式光纤传感器%相干瑞利散射%信号处理
管道安全預警%分佈式光纖傳感器%相榦瑞利散射%信號處理
관도안전예경%분포식광섬전감기%상간서리산사%신호처리
pipeline security pre-warning%distributed optical fiber sensor%coherent Rayleigh scattering%signal processing
将相位敏感光时域反射计应用于油气管道安全监测领域.首先通过理论分析其探测原理,推导出干涉光强与光纤折射率的对应关系,从而论证了该方法的可行性;然后提出了一套新的信号处理方案,从空域及时域两方面对信号进行了处理.空域上,在传统移动平均算法的基础上引入间隔参数并提出一种新的差值算法,提高了信号的信噪比并降低了系统运算量;时域上,提取了入侵位置对应的时域信号并通过采用时频分析以及小波滤波的方法直观表现了外界入侵事件的时域特征.现场实验结果表明,该系统能有效探测到外界入侵事件并进行精确定位,差值信号信噪比达到7.8,dB,定位结果标准差在10,m以内.
將相位敏感光時域反射計應用于油氣管道安全鑑測領域.首先通過理論分析其探測原理,推導齣榦涉光彊與光纖摺射率的對應關繫,從而論證瞭該方法的可行性;然後提齣瞭一套新的信號處理方案,從空域及時域兩方麵對信號進行瞭處理.空域上,在傳統移動平均算法的基礎上引入間隔參數併提齣一種新的差值算法,提高瞭信號的信譟比併降低瞭繫統運算量;時域上,提取瞭入侵位置對應的時域信號併通過採用時頻分析以及小波濾波的方法直觀錶現瞭外界入侵事件的時域特徵.現場實驗結果錶明,該繫統能有效探測到外界入侵事件併進行精確定位,差值信號信譟比達到7.8,dB,定位結果標準差在10,m以內.
장상위민감광시역반사계응용우유기관도안전감측영역.수선통과이론분석기탐측원리,추도출간섭광강여광섬절사솔적대응관계,종이론증료해방법적가행성;연후제출료일투신적신호처리방안,종공역급시역량방면대신호진행료처리.공역상,재전통이동평균산법적기출상인입간격삼수병제출일충신적차치산법,제고료신호적신조비병강저료계통운산량;시역상,제취료입침위치대응적시역신호병통과채용시빈분석이급소파려파적방법직관표현료외계입침사건적시역특정.현장실험결과표명,해계통능유효탐측도외계입침사건병진행정학정위,차치신호신조비체도7.8,dB,정위결과표준차재10,m이내.
The phase-sensitive optical time domain reflectometer(OTDR)is used in oil and gas pipeline safety moni-toring. In this paper,the detection principle of the pipeline security pre-warning system based on coherent Rayleigh scattering was firstly analyzed,and the corresponding relationship between the interference light intensity and the optical fiber refractive index is derived,which proved the feasibility of the system. A new signal processing scheme was then proposed,which processed the signal from both space and time domains. In space domain,an interval pa-rameter was introduced into the traditional moving averaging algorithm so as to improve the SNR of the signal and reduce the system computation amount. Besides,the time-domain signal corresponding to the intrusion position was extracted,and the time-domain characteristic of intrusion signals was demonstrated through time-frequency analysis and wavelet filtering method. The field experimental results show that the system can effectively detect and precisely position external vibration events. The SNR of differential signal can be as high as 7.8,dB,and the standard deviation of positioning results is less than 10,m.