CN106559132A - Optical fiber deterioration analysis method - Google Patents
Optical fiber deterioration analysis method Download PDFInfo
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- CN106559132A CN106559132A CN201611028578.3A CN201611028578A CN106559132A CN 106559132 A CN106559132 A CN 106559132A CN 201611028578 A CN201611028578 A CN 201611028578A CN 106559132 A CN106559132 A CN 106559132A
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- offset correction
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B10/00—Transmission systems employing electromagnetic waves other than radio-waves, e.g. infrared, visible or ultraviolet light, or employing corpuscular radiation, e.g. quantum communication
- H04B10/07—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems
- H04B10/071—Arrangements for monitoring or testing transmission systems; Arrangements for fault measurement of transmission systems using a reflected signal, e.g. using optical time domain reflectometers [OTDR]
Abstract
The present invention relates to the recognition methods of incident optical fiber, specially optical fiber deterioration analysis method.This optical fiber deterioration analysis method first obtains test curve negated reflection event curve with OTDR, non-reflective event curve is gone forward side by side line displacement amendment as calculus of differences, obtain differential transformation offset correction curve, using statistic mixed-state criterion, differential transformation offset correction curve peak valley amplitude is counted to fibre circuit, for fair curve given threshold, obtain noise table corresponding with threshold value, differential transformation offset correction curve is reduced, the corresponding sampled point of peak valley point on curve less than threshold value is non-reflective event origin, the non-reflective event terminal of latter pulsewidth point correspondence of the point, calculate the loss value and positional value of each non-reflective point, it is stored in event analysis storehouse.The algorithm has adaptivity to the optical fiber of different statistical properties, can detect the non-reflective event of slight amplitude, and compared with the non-reflective incident Detection Algorithms of traditional OTDR, the algorithm improves the accuracy for judging non-reflective event.
Description
Technical field
The present invention relates to the recognition methods of incident optical fiber, specially optical fiber deterioration analysis method.
Background technology
OTDR can recognize all kinds of incident optical fibers, including the fusion point in link, bending, connector and fracture etc..In OTDR
Event include head end reflection event, terminal affair, reflection event and non-reflective event（Decay events）.Wherein, former three
Amplitude is generally higher than 0.5dB, generally adopts least square method and two-point method to find out the singular point of scattering curve, strange by analyzing these
The slope of curve at point, draws event location and event value.By comparison, non-reflective event amplitude is minimum up to 0.01dB, but
Conventional method still adopts least square method and two-point method, and judgment accuracy is low, and when especially scattering curve introduces noise, this two
The method of kind cannot be distinguished by the non-reflective event of noise and amplitude in below 0.1d B at all.In order to improve the inspection of non-reflective event
Precision is surveyed, is generally adopted Fourier transformation and wavelet transformation to analyze, but such method is needed large amount of complex to calculate, so not
It is applied in actual product.
The content of the invention
The present invention is not high difficult with calculating complicated applications in order to solve the problems, such as existing algorithm accuracy of detection, there is provided light
Fine deterioration analysis method.
The present invention adopts the following technical scheme that realization：Optical fiber deterioration analysis method, comprises the following steps：
（1）OTDR sends test light to fibre circuit, receives the scattered light for returning, will return Optical Sampling, and chronologically be depicted as
Test curve；
（2）After OTDR host computers obtain test curve, head end event, terminal affair are analyzed using least square method and two-point method
And reflection event；
（3）On test curve between head end event and terminal affair, some sections of continuous non-reflective event curves are taken, to every
Section curve carries out region segmentation by following rule：（1）At intervals of N, it is 5 ~ 10 that interval N makes curve subregion number to setting regions,（2）
Any one region is more than N comprising sampling number, then proceed secondary splitting by interval N, after subregion terminates, calculate each area
The noise level in domain；
（4）After the completion of noise region is calculated, each section of non-reflective event curve is gone forward side by side line displacement amendment as calculus of differences, it is poor
Divide conversion offset correction curve；Pip in non-reflective event curve is changed into a pair of sampled point number phases Jing after differential transformation
Same, the positive and negative contrary peak of amplitude, and the point of interface correspondence reflection event starting point at two peaks, the end point correspondence at second peak reflect
Event terminal；It is negative peak that non-reflective point in non-reflective event curve is changed into an amplitude Jing after differential transformation, and peak valley pair
Answer non-reflective event origin, the non-reflective event terminal of peak end point correspondence；Noise spot Jing difference in non-reflective event curve becomes
It is still noise after changing, and amplitude becomes big；The sampled point number that reflection event is included is identical with the sampling number in a pulsewidth；It is non-
The sampled point number of reflection event is identical with the sampling number in a pulsewidth；
（5）Using statistic mixed-state criterion, differential transformation offset correction curve peak valley amplitude is counted to a large amount of fibre circuits, for difference
Divide conversion offset correction curve setting threshold value, obtain noise table corresponding with threshold value；
（6）Differential transformation offset correction curve is reduced, after reduction from the beginning of first region, by non-reflective event curve
The region of middle segmentation is corresponded with differential transformation offset correction curve respective point by length, is searched noise table corresponding with threshold value and is obtained
To region threshold, in the region, it is non-reflective event origin less than the corresponding sampled point of peak valley point of threshold value, the point is latter
The non-reflective event terminal of pulsewidth point correspondence；
（7）Matching terminates, and detects all of non-reflective point, calculates the loss value and positional value of each point, is stored in event analysis
Storehouse.
Using region segmentation reduction and the adaptive noise parser positioning non-reflective event of optical fiber, and by the Algorithm Analysis
Event out forms event analysis storehouse.The algorithm has adaptivity to the optical fiber of different statistical properties, can detect small
The non-reflective event of amplitude, compared with the non-reflective incident Detection Algorithms of traditional OTDR, the algorithm improves and judges non-reflective
The accuracy of event.
Description of the drawings
Fig. 1 is the flow chart of the present invention.
Specific embodiment
Optical fiber deterioration analysis method, comprises the following steps：
（1）OTDR boards send test light to fibre circuit, receive the scattered light for returning, will return Optical Sampling, and chronologically paint
Test curve is made, test curve includes 10000 ~ 50000 sampled points；
（2）After OTDR host computers obtain test curve, head end event, terminal affair are analyzed using least square method and two-point method
And reflection event, remaining for non-reflective event, OTDR is made up of OTDR boards and upper computer software；
（3）On test curve between head end event and terminal affair, some sections of continuous non-reflective event curves are taken, to every
Section curve carries out region segmentation by following rule：（1）At intervals of N, it is 5 ~ 10 that interval N makes curve subregion number to setting regions,（2）
Any one region is more than N comprising sampling number, then proceed secondary splitting by interval N, after subregion terminates, calculate each area
The noise level in domain；
（4）After the completion of noise region is calculated, calculus of differences is made to each section of non-reflective event curve.Primitive curve is Jing after differential transformation
Slope of curve vanishing, integral level skew are not zero, and horizontal offset values are curve global slopes value.Jing after offset correction, water
Flat skew is zero, obtains differential transformation offset correction curve.Pip in non-reflective event curve is changed into Jing after differential transformation
A pair of sampled point numbers are identical, the positive and negative contrary peak of amplitude, and the point of interface correspondence reflection event starting point at two peaks, second peak
End point correspondence reflection event terminal；Non-reflective point in non-reflective event curve is changed into an amplitude Jing after differential transformation
Negative peak, and the non-reflective event origin of peak valley correspondence, the non-reflective event terminal of peak end point correspondence；In non-reflective event curve
Noise spot is still noise Jing after differential transformation, and amplitude becomes big；In the sampled point number and a pulsewidth that reflection event is included
Sampling number is identical；The sampled point number of non-reflective event is identical with the sampling number in a pulsewidth.It is possible thereby to direct root
Final position is calculated according to event origin position.
（5）Using statistic mixed-state criterion, differential transformation offset correction curve peak valley amplitude, pin are counted to a large amount of fibre circuits
To differential transformation offset correction curve setting threshold value, noise table corresponding with threshold value is obtained；
（6）Differential transformation offset correction curve is reduced, after reduction from the beginning of first region, by non-reflective event curve
The region of middle segmentation is corresponded with differential transformation offset correction curve respective point by length, is searched noise table corresponding with threshold value and is obtained
To region threshold, in the region, it is non-reflective event origin less than the corresponding sampled point of peak valley point of threshold value, the point is latter
The non-reflective event terminal of pulsewidth point correspondence；
（7）Matching terminates, and detects all of non-reflective point, calculates the loss value and positional value of each non-reflective point, is stored in thing
Part analyzes storehouse.
Claims (1)
1. optical fiber deterioration analysis method, it is characterised in that comprise the following steps：
（1）OTDR sends test light to fibre circuit, receives the scattered light for returning, by Returning scattering Optical Sampling, and chronologically paints
Make test curve；
（2）After OTDR host computers obtain test curve, head end event, terminal affair are analyzed using least square method and two-point method
And reflection event；
（3）On test curve between head end event and terminal affair, some sections of continuous non-reflective event curves are taken, to every
Section curve carries out region segmentation by following rule：（1）At intervals of N, it is 5 ~ 10 that interval N makes curve subregion number to setting regions,（2）
Any one region is more than N comprising sampling number, then proceed secondary splitting by interval N, after subregion terminates, calculate each area
The noise level in domain；
（4）After the completion of noise region is calculated, each section of non-reflective event curve is gone forward side by side line displacement amendment as calculus of differences, it is poor
Divide conversion offset correction curve；
（5）Using statistic mixed-state criterion, differential transformation offset correction curve peak valley amplitude is counted to a large amount of fibre circuits, for difference
Divide conversion offset correction curve setting threshold value, obtain noise table corresponding with threshold value；
（6）Differential transformation offset correction curve is reduced, after reduction from the beginning of first region, by non-reflective event curve
The region of middle segmentation is corresponded with differential transformation offset correction curve respective point by length, is searched noise table corresponding with threshold value and is obtained
To region threshold, in the region, it is non-reflective event origin less than the corresponding sampled point of peak valley point of threshold value, the point is latter
The non-reflective event terminal of pulsewidth point correspondence；
（7）Matching terminates, and detects all of non-reflective point, calculates the loss value and positional value of each non-reflective point, is stored in thing
Part analyzes storehouse.
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| CN201611028578.3A CN106559132A (en) | 2016-11-22 | 2016-11-22 | Optical fiber deterioration analysis method |
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| CN201611028578.3A CN106559132A (en) | 2016-11-22 | 2016-11-22 | Optical fiber deterioration analysis method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108650022A (en) * | 2018-03-21 | 2018-10-12 | 北京奥普维尔科技有限公司 | The method of monitoring device, the method for obtaining modifying factor and application monitoring device |
| CN109768826A (en) * | 2017-11-09 | 2019-05-17 | 中兴通讯股份有限公司 | Data processing method, device and equipment, computer readable storage medium |
| CN114499655A (en) * | 2021-11-23 | 2022-05-13 | 烽火通信科技股份有限公司 | Method and device for improving OTDR event identification |
| CN114696893A (en) * | 2022-06-02 | 2022-07-01 | 高勘(广州)技术有限公司 | Event positioning method, system, device and storage medium based on OTDR |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895339A (en) * | 2010-07-21 | 2010-11-24 | 国网电力科学研究院 | Method for realizing early warning and positioning of malfunctions for power cable network |
| CN104052542A (en) * | 2014-06-23 | 2014-09-17 | 武汉光迅科技股份有限公司 | Method for detecting OTDR curve tail end event and locating optical fiber breaking point under online mode |
| CN105447444A (en) * | 2015-11-04 | 2016-03-30 | 中国电子科技集团公司第四十一研究所 | OTDR event analysis algorithm based on difference window and template matching |
-
2016
- 2016-11-22 CN CN201611028578.3A patent/CN106559132A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895339A (en) * | 2010-07-21 | 2010-11-24 | 国网电力科学研究院 | Method for realizing early warning and positioning of malfunctions for power cable network |
| CN104052542A (en) * | 2014-06-23 | 2014-09-17 | 武汉光迅科技股份有限公司 | Method for detecting OTDR curve tail end event and locating optical fiber breaking point under online mode |
| CN105447444A (en) * | 2015-11-04 | 2016-03-30 | 中国电子科技集团公司第四十一研究所 | OTDR event analysis algorithm based on difference window and template matching |
Non-Patent Citations (1)
| Title |
|---|
| 易水寒等: ""OTDR非反射事件自适应检测算法设计与研究"", 《光通信技术 万方数据库》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109768826A (en) * | 2017-11-09 | 2019-05-17 | 中兴通讯股份有限公司 | Data processing method, device and equipment, computer readable storage medium |
| CN109768826B (en) * | 2017-11-09 | 2022-01-28 | 中兴通讯股份有限公司 | Data processing method, device and equipment and computer readable storage medium |
| CN108650022A (en) * | 2018-03-21 | 2018-10-12 | 北京奥普维尔科技有限公司 | The method of monitoring device, the method for obtaining modifying factor and application monitoring device |
| CN114499655A (en) * | 2021-11-23 | 2022-05-13 | 烽火通信科技股份有限公司 | Method and device for improving OTDR event identification |
| CN114499655B (en) * | 2021-11-23 | 2023-05-16 | 烽火通信科技股份有限公司 | Method and device for improving OTDR event identification |
| CN114696893A (en) * | 2022-06-02 | 2022-07-01 | 高勘(广州)技术有限公司 | Event positioning method, system, device and storage medium based on OTDR |
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Application publication date: 20170405 |