CN109682457A - Incident optical fiber recognition methods based on angle detection - Google Patents
Incident optical fiber recognition methods based on angle detection Download PDFInfo
- Publication number
- CN109682457A CN109682457A CN201910062901.6A CN201910062901A CN109682457A CN 109682457 A CN109682457 A CN 109682457A CN 201910062901 A CN201910062901 A CN 201910062901A CN 109682457 A CN109682457 A CN 109682457A
- Authority
- CN
- China
- Prior art keywords
- data
- optical fiber
- recognition methods
- incident optical
- angle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
- G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/26—Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to incident optical fiber recognition methods technical fields, and disclose the incident optical fiber recognition methods based on angle detection, S1: data input: by the data center in the prior correlation data inputted vibration sensing host by transport；S2: frequency spectrum calculates: vibrating sensing host acquires data according to certain format；S3: frequency spectrum section energy accumulation: Fourier (FFT) variation is carried out for collected data, the spectrum energy figure of each position is obtained, takes spectral range 0-400Hz, calculate the distribution of the spectral range self-energy；S4: based on simple threshold when: determine a threshold value, more than the point of threshold value, retain as case point, with the time, distance, event is in the coordinate system of coordinate.The threading processing method of the combined screw is able to solve at present in some prevention fields due to the high sensitivity of Fibre Optical Sensor and the influence of decline etc., it is easy to cause to report by mistake, lead to the problem of test inaccuracy.
Description
Technical field
The present invention relates to incident optical fiber recognition methods technical fields, specially the incident optical fiber identification side based on angle detection
Method.
Background technique
Distributed optical fiber vibration sensing system has good electromagnetism interference, electrical insulating property, corrosion-resistant, high sensitivity and can
To realize the circumference monitoring of long range, and can be directly using having buried the subterranean communications optic fiber cable applied.Can be used for monitor and
Protect national boundary, military base, power plant, along petroleum pipeline, important areas and the place such as nuclear facilities and prison.Work as sense light
When fibre is by external disturbance, the part of properties that light is transmitted in optical fiber will change, and identification terminal is acquired signal, and analysis is adopted
Collect the feature of signal to judge the change of its light characteristic, and then can detect that and the corresponding signal of vibration position occurs, and then basis
The signal identification goes out its vibration source type fiber vibrating sensor and is used as sensor information by optical fiber itself, can analyze resolving optical fiber
Neighbouring Vibration Condition.
During to vibration Activity recognition, due to the high sensitivity of Fibre Optical Sensor and the influence of decline etc., vehicle, row
The behavior of people has many similarities, leads to vehicle, and the behaviors such as pedestrian are difficult to identify easily.It is easy to cause in some prevention fields
Wrong report leads to test inaccuracy.
Summary of the invention
(1) the technical issues of solving
In view of the deficiencies of the prior art, the present invention provides the incident optical fiber recognition methods detected based on angle, have to vibration source
The advantages of classifying and improving recognition accuracy, solve at present some prevention fields due to Fibre Optical Sensor high sensitivity and decline
The influence fallen etc., it is easy to cause to report by mistake, lead to the problem of test inaccuracy.
(2) technical solution
To realize the purpose for classifying and improving recognition accuracy to vibration source, the invention provides the following technical scheme: being examined based on angle
The incident optical fiber recognition methods of survey,
Incident optical fiber recognition methods based on angle detection, comprising the following steps:
S1: data input: by the data center in the prior correlation data inputted vibration sensing host by transport；
S2: frequency spectrum calculates: vibrating sensing host acquires data according to certain format；
S3: frequency spectrum section energy accumulation: Fourier (FFT) variation is carried out for collected data, obtains the frequency of each position
Spectrum energy figure takes spectral range 0-400Hz, calculates the distribution of the spectral range self-energy；
S4: based on simple threshold when: determine a threshold value, more than the point of threshold value, retain as case point, with when
Between, distance, event is in this way, to calculate event trace in the coordinate system of coordinate；
S5: event trace calculates: for the event trace calculated, finding the beginning and end of the track, calculates in two o'clock
Point, using the ordinate of intermediate point as straight line, foundation of the angle of straight line and track as judgement；
S6: the classification of angle calculation machine: judge for the event of general buried Fibre Optical Sensor, calculate its angle.
S7: classification results output: the result obtained is exported.
Preferably, after each correlation data updates in the S1 step, by data line by the correlation data of more new version
The data center in vibrating sensing host is re-entered, and covering is updated to former correlation data.
Preferably, data of the vibrating sensing host according to certain format acquisition collection point three times in the S2 step, and
Next step operation is carried out to it respectively.
Preferably, it is repeatedly calculated when calculating in the S3 step the distribution of spectral range self-energy, it is ensured that data
It is errorless.
Preferably, when being determined in the S4 step to threshold value, tune appropriate is carried out to it according to actual needs
It is whole.
Preferably, it is compared again after calculating angle in the S6 step, wherein pedestrian's angle is less than 10 degree, vehicle angles
Greater than 20 degree, required data are obtained by comparison.
(3) beneficial effect
Compared with prior art, the present invention provides the incident optical fiber recognition methods detected based on angle, have following beneficial to effect
Fruit:
1, the incident optical fiber recognition methods that should be detected based on angle, the present invention can be the case where not expending a large amount of software resources
Under, the type of vibration is quickly analyzed, while this method can decline to avoid fiber optic sensing devices bring, high sensitivity etc. is set
The standby defect having by oneself itself, quickly realizes that specific event recognition, precision, speed and performance are mentioned by this method
Height significantly reduces its cost.
Detailed description of the invention
Fig. 1 is the system flow chart of the incident optical fiber recognition methods detected based on angle.
Specific embodiment
Technical solution in the embodiment of the present invention is clearly and completely retouched below, it is clear that the embodiment retouched is only
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
What is obtained without making creative work has other embodiments, shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention proposes the incident optical fiber recognition methods detected based on angle, comprising the following steps:
S1: data input: by the data center in the prior correlation data inputted vibration sensing host by transport；
S2: frequency spectrum calculates: vibrating sensing host acquires data according to certain format；
S3: frequency spectrum section energy accumulation: Fourier (FFT) variation is carried out for collected data, obtains the frequency of each position
Spectrum energy figure takes spectral range 0-400Hz, calculates the distribution of the spectral range self-energy；
S4: based on simple threshold when: determine a threshold value, more than the point of threshold value, retain as case point, with when
Between, distance, event is in this way, to calculate event trace in the coordinate system of coordinate；
S5: event trace calculates: for the event trace calculated, finding the beginning and end of the track, calculates in two o'clock
Point, using the ordinate of intermediate point as straight line, foundation of the angle of straight line and track as judgement；
S6: the classification of angle calculation machine: judge for the event of general buried Fibre Optical Sensor, calculate its angle.
S7: classification results output: the result obtained is exported.
The present invention can quickly analyze the type of vibration, while the party in the case where not expending a large amount of software resources
Method can decline to avoid fiber optic sensing devices bring, and the defect that the equipment such as high sensitivity itself are had by oneself is quick by this method
The specific event recognition of realization, precision, speed and performance are improved, are significantly reduced to its cost.
After each correlation data updates in the S1 step, the correlation data of more new version is re-entered by data line
Data center in vibrating sensing host, and covering is updated to former correlation data.
Data of the vibrating sensing host according to certain format acquisition collection point three times in the S2 step, and respectively to it
Carry out next step operation.
It is repeatedly calculated when calculating in the S3 step the distribution of spectral range self-energy, it is ensured that data are errorless.
When being determined in the S4 step to threshold value, adjustment appropriate is carried out to it according to actual needs.
It is compared again after calculating angle in the S6 step, wherein for pedestrian's angle less than 10 degree, vehicle angles are greater than 20
Degree obtains required data by comparison.
To sum up, the incident optical fiber recognition methods that should be detected based on angle, the present invention can not expend a large amount of software resources
In the case where, the type of vibration is quickly analyzed, while this method can decline to avoid fiber optic sensing devices bring, it is highly sensitive
The defect that the equipment such as degree itself are had by oneself quickly realizes that specific event recognition, precision, speed and performance are obtained by this method
To raising, its cost is significantly reduced.
It should be noted that the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (6)
1. the incident optical fiber recognition methods based on angle detection, it is characterised in that: the following steps are included:
S1: data input: by the data center in the prior correlation data inputted vibration sensing host by transport；
S2: frequency spectrum calculates: vibrating sensing host acquires data according to certain format；
S3: frequency spectrum section energy accumulation: Fourier (FFT) variation is carried out for collected data, obtains the frequency of each position
Spectrum energy figure takes spectral range 0-400Hz, calculates the distribution of the spectral range self-energy；
S4: based on simple threshold when: determine a threshold value, more than the point of threshold value, retain as case point, with when
Between, distance, event is in this way, to calculate event trace in the coordinate system of coordinate；
S5: event trace calculates: for the event trace calculated, finding the beginning and end of the track, calculates in two o'clock
Point, using the ordinate of intermediate point as straight line, foundation of the angle of straight line and track as judgement；
S6: the classification of angle calculation machine: judge for the event of general buried Fibre Optical Sensor, calculate its angle；
S7: classification results output: the result obtained is exported.
2. the incident optical fiber recognition methods according to claim 1 based on angle detection, it is characterised in that: the S1 step
In after correlation data updates every time, the correlation data of more new version is re-entered to the number in vibrating sensing host by data line
Covering is updated according to center, and to former correlation data.
3. the incident optical fiber recognition methods according to claim 2 based on angle detection, it is characterised in that: the S2 step
Data of the middle vibrating sensing host according to certain format acquisition collection point three times, and next step operation is carried out to it respectively.
4. the incident optical fiber recognition methods according to claim 1 based on angle detection, it is characterised in that: the S3 step
In repeatedly calculated when calculating the distribution of spectral range self-energy, it is ensured that data are errorless.
5. the incident optical fiber recognition methods according to claim 1 based on angle detection, it is characterised in that: the S4 step
In when being determined to threshold value, adjustment appropriate is carried out to it according to actual needs.
6. the incident optical fiber recognition methods according to claim 1 based on angle detection, it is characterised in that: the S6 step
It is compared again after middle calculating angle, wherein for pedestrian's angle less than 10 degree, vehicle angles are greater than 20 degree, needed for being obtained by comparison
Data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910062901.6A CN109682457A (en) | 2019-01-23 | 2019-01-23 | Incident optical fiber recognition methods based on angle detection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910062901.6A CN109682457A (en) | 2019-01-23 | 2019-01-23 | Incident optical fiber recognition methods based on angle detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109682457A true CN109682457A (en) | 2019-04-26 |
Family
ID=66193931
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910062901.6A Pending CN109682457A (en) | 2019-01-23 | 2019-01-23 | Incident optical fiber recognition methods based on angle detection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109682457A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111141377A (en) * | 2019-12-30 | 2020-05-12 | 江苏光为传感设备有限公司 | Optical fiber vibration event identification algorithm based on energy accumulation and maximum weight |
| CN111765960A (en) * | 2020-07-23 | 2020-10-13 | 国网山西省电力公司太原供电公司 | Method for extracting seismic signals of OPGW (optical fiber composite overhead ground wire) optical cable based on distributed optical fiber sensing |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101299635A (en) * | 2008-05-09 | 2008-11-05 | 东南大学 | Apparatus and method for discriminating front and back of wide field complete-optical fiber disturbing signal |
| CN106644035A (en) * | 2016-12-15 | 2017-05-10 | 北方工业大学 | Vibration source identification method and system based on time-frequency transformation characteristics |
| CN108132092A (en) * | 2016-12-01 | 2018-06-08 | 光子瑞利科技（北京）有限公司 | Threshold value optical fiber vibration event recognition methods is gone based on adaptive mean value |
-
2019
- 2019-01-23 CN CN201910062901.6A patent/CN109682457A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101299635A (en) * | 2008-05-09 | 2008-11-05 | 东南大学 | Apparatus and method for discriminating front and back of wide field complete-optical fiber disturbing signal |
| CN108132092A (en) * | 2016-12-01 | 2018-06-08 | 光子瑞利科技（北京）有限公司 | Threshold value optical fiber vibration event recognition methods is gone based on adaptive mean value |
| CN106644035A (en) * | 2016-12-15 | 2017-05-10 | 北方工业大学 | Vibration source identification method and system based on time-frequency transformation characteristics |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111141377A (en) * | 2019-12-30 | 2020-05-12 | 江苏光为传感设备有限公司 | Optical fiber vibration event identification algorithm based on energy accumulation and maximum weight |
| CN111765960A (en) * | 2020-07-23 | 2020-10-13 | 国网山西省电力公司太原供电公司 | Method for extracting seismic signals of OPGW (optical fiber composite overhead ground wire) optical cable based on distributed optical fiber sensing |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108509850B (en) | Intrusion signal identification method based on distributed optical fiber system | |
| CN111510205B (en) | Optical cable fault positioning method, device and equipment based on deep learning | |
| CN102663032B (en) | Fiber grating fence invasion event mode recognition method | |
| CN103116957B (en) | A kind of method of optical fiber perimeter security and protection system shielding climate impact | |
| CN104217513B (en) | The method improving phase sensitive optical time domain reflectometer identification intrusion event accuracy rate | |
| CN116805061B (en) | Leakage event judging method based on optical fiber sensing | |
| CN108802535B (en) | Screening method, main interference source identification method and device, server and storage medium | |
| CN105261136A (en) | Method and device for shielding weather interference in fiber monitoring alarm system | |
| CN105067101A (en) | Fundamental tone frequency characteristic extraction method based on vibration signal for vibration source identification | |
| CN109063885A (en) | A kind of substation's exception metric data prediction technique | |
| CN105632059A (en) | Distributed optical fiber perimeter security system | |
| CN105447444B (en) | A kind of OTDR event analysis algorithms based on difference window and template matches | |
| CN112362304A (en) | Method for identifying target optical cable in multiple optical cables and corresponding system | |
| CN109682457A (en) | Incident optical fiber recognition methods based on angle detection | |
| CN109120336B (en) | False alarm prevention and false alarm prevention method based on phase sensitive optical time domain reflection sensor | |
| CN117031566A (en) | Geomagnetic anomaly data set construction method and geomagnetic anomaly data set construction system | |
| CN110361164B (en) | Method and system for analyzing breakpoint position and disturbance position of submarine optical cable | |
| CN105259398A (en) | Method for analyzing random error characteristic of optical fiber current transformer based on total variance | |
| CN115987386A (en) | Optical cable same-route detection device and method | |
| CN103940586B (en) | The life detecting method of mid-infrared solid state laser | |
| Wang et al. | Intelligent detection and recognition of multi-vibration events based on distributed acoustic sensor and improved YOLOv8 model | |
| Bi et al. | Harmful intrusion detection algorithm of optical fiber pre-warning system based on correlation of orthogonal polarization signals | |
| CN116979702B (en) | Intelligent monitoring quality inspection method, system and medium for power transmission line based on big data | |
| KR20220132824A (en) | Distribution facility condition monitoring system and method | |
| CN117786353A (en) | System and method for high-speed real-time visual measurement of embedded bag making machine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190426 |
|
| WD01 | Invention patent application deemed withdrawn after publication |