CN108225541A - The distributed fiberoptic sensor and foreign body intrusion signal for identifying foreign body intrusion perceive processing method - Google Patents
The distributed fiberoptic sensor and foreign body intrusion signal for identifying foreign body intrusion perceive processing method Download PDFInfo
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- 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
- G01H9/006—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors the vibrations causing a variation in the relative position of the end of a fibre and another element
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Abstract
The distributed fiberoptic sensor and foreign body intrusion signal for identifying foreign body intrusion perceive processing method, belong to optical technical field.Technical essential：The incident light of laser is divided into two-way through fiber coupler one, it detects light and enters testing fiber by acousto-optic modulator, EDFA Erbium-Doped Fiber Amplifier one, circulator one all the way, generate rear orientation light, enter wave filter using EDFA Erbium-Doped Fiber Amplifier two, circulator two, the reflection end of wave filter passes through circulator two, with being incident on together with reference light in fiber coupler two, the beat frequency light that fiber coupler two exports, photoelectric conversion, data acquisition unit acquisition signal and incoming host computer are carried out using balanced detector.The method of the present invention is used and intrusion model is identified based on algorithm of support vector machine.The signal for acquiring different intrusion models first carries out feature extraction and classifying, forms trained set of data samples, is trained using SVM algorithm, obtains follow-up identification network model.The present invention identifies foreign body intrusion event for perceiving.
Description
Technical field
The present invention relates to a kind of distributed fiberoptic sensors and signal to perceive processing method, and in particular to a kind of identification foreign matter
The distributed fiberoptic sensor and foreign body intrusion signal of invasion perceive processing method, belong to optical technical field.
Background technology
Distributed optical fiber sensing system uses optical fibers as sensing media, the target in fiber lengths can be carried out remote in real time
Journey monitors.Φ-OTDR (phase sensitive optical time domain reflectometer, phase-sensitive optical time-domain
Reflectometer) system, in practical applications than traditional OTDR (optical time domain reflectometer, optical time-domain
Reflectometer) the detectable fainter vibration signal of system.
In the time of twenties years of Φ-OTDR technique development, continuous development and optical fiber technology with optical fibre device
Continuous maturation, Φ-OTDR technique gradually to high spatial resolution, long distance monitoring, high-frequency response etc. directions develop, still
Research before is the detection in laboratory to vibration signals such as PZT or Pencil break mostly, outfield intrusion detection compared with
It is few, also signal characteristic is not analyzed.In practical system for monitoring intrusion, external field environment is more complicated than testing indoor environment
It is more, such as wind, the activity of terrestrial life and the freeze thawing effect of soil layer can all impact the stability of signal.In crowd
Under multifactor interference, can the different intrusion events that accurately detect and tell invader be present Φ-OTDR distributed
Can optical fiber sensing system put into practical main problem.
Invention content
The brief overview about the present invention is given below, in order to provide about the basic of certain aspects of the invention
Understand.It should be appreciated that this general introduction is not the exhaustive general introduction about the present invention.It is not intended to determine the pass of the present invention
Key or pith, nor is it intended to limit the scope of the present invention.Its purpose only provides certain concepts in simplified form,
In this, as the preamble in greater detail discussed later.
In consideration of it, in order to overcome above-mentioned technical problem, the present invention provides a kind of distribution type fiber-optics for identifying foreign body intrusion
Sensor and foreign body intrusion signal perceive processing method, from the angle of the collected signal characteristic of Φ-OTDR sensor-based systems,
By analyzing multiple features parameter pattern-recognition, accurately foreign body intrusion event is analyzed.
Scheme one：The present invention provides a kind of distributed fiberoptic sensor for identifying foreign body intrusion, including laser, optical fiber
Coupler one, acousto-optic modulator, EDFA Erbium-Doped Fiber Amplifier one, circulator one, testing fiber, EDFA Erbium-Doped Fiber Amplifier two, annular
Device two, fiber coupler two, balanced detector, data acquisition unit, host computer, arbitrary-function generator and wave filter；
The incident light of laser is divided into two-way by fiber coupler one, and upper branch is as detection light, and lower branch is as ginseng
Examine light；Detection light is modulated into pulsed light, by mixing bait light all the way by the acousto-optic modulator controlled by arbitrary-function generator
Fiber amplifier one is amplified, and amplified pulsed light is after circulator Single port 1 generates after port 2 enters testing fiber
To scattering light, rear orientation light carries out secondary amplification using EDFA Erbium-Doped Fiber Amplifier two；Pass through again from the port of circulator two 1
Port 2 enters wave filter, and the reflection end of wave filter passes through the port 3 of circulator two, fiber coupling is incident on together with reference light
In device two, fiber coupler two has four ports, and the beat frequency light that fiber coupler two exports carries out photoelectricity using balanced detector
Conversion acquires Rayleigh scattering signal finally by the data acquisition unit of arbitrary-function generator triggering control, collected auspicious
Sharp scattered signal is analyzed and is demodulated by host computer.
Further：The laser uses distributed feedback type semiconductor laser (DFB).
Further：The laser uses tunable optical fiber laser.
Further：The laser is polarization maintaining optical fibre output.
Further：The coupling ratio of the fiber coupler one is 95:5、80:20 or 50:50.
Further：The wave filter is fiber grating filter or tunable optic filter.
Scheme two：A kind of foreign body intrusion signal proposed by the present invention perceives processing method, and this method is based on one institute of scheme
What the distributed fiberoptic sensor of identification foreign body intrusion stated was realized, specially：
The incident light of laser passes through acousto-optic modulator and erbium-doped fiber all the way by the detection light after fiber coupler one
Amplifier one, then be injected into testing fiber by circulator one, the Rayleigh scattering light being reflected back in optical fiber is again successively by mixing
Bait fiber amplifier two carries out secondary amplification；Again from the port of circulator two 1 by port 2 enter wave filter, wave filter it is anti-
Port 3 of the end by circulator two is penetrated, is incident on together with reference light in fiber coupler two, the bat that fiber coupler two exports
Frequency light carries out photoelectric conversion, then signal is acquired by data acquisition unit using balanced detector；Pass through digital coherent
Detection technique, the amplitude and phase that the Rayleigh signal electric field come is scattered back to fiber link carry out Real-time demodulation, are carried by feature
Short-time zero-crossing rate, power spectral density, Wavelet Energy Spectrum and phase property parameter are obtained out, Real-time demodulation goes out signal characteristic, utilizes
Characteristic vector carries out more classification mode identifications using the algorithm of support vector machine of binary tree structure.
Further：The balanced detector carries out photoelectric conversion to beat signal, exports AC portion, data processing list
AC signal is converted into digital signal feeding computer and handles by member；Digital signal is obtained using orthogonal demodulation method again
Obtain the amplitude and phase of Rayleigh signal；Specially：
The alternating current that balanced detector detects is shown in formula (1)：
A in formulaLOFor the amplitude of reference light, aRFor the amplitude of Rayleigh scattering light, ω is the frequency shift amount of acousto-optic modulator,For the phase of Rayleigh scattering light,Phase for reference light；
Orthogonal demodulation method：It is multiplied by the sinusoidal signal and cosine signal that a frequency is ω to P (t) respectively first, then
Low-pass filtering is carried out to result, obtained I, the output result of Q two-way is shown in formula (2) and (3)：
The amplitude and phase finally demodulated is formula (4) and (5)；
K is integer in formula, then the phase is handled by phase unwrapping integration method, obtains Rayleigh scattering light phase.
Further：The short-time zero-crossing rate represents the number that signal amplitude in a frame signal passes through fixed level, is one
The simple metric of kind signal frequency, shown in circular such as formula (6)：
In formula, A (n) is the amplitude for acquiring signal, and α is the fixed level threshold value of setting, and ψ represents a function, works as bracket
The functional value is 1 when being set up in Chinese style, and invalid duration is 0.
Further：The short-time rating spectrum density of signal is calculated by figure method average period, gathered data is segmented
Windowing process is first obtained every section of Power estimation, is then averagely obtained short-time rating Power estimation respectively,Represent power
Power estimation as a result, the length N of A (n) is divided into P sections by algorithmic procedure, every section of M data, then the modified periodogram of pth section is public affairs
Formula (7)：
WhereinIt is normalization factor, ω (n) is added window function；To the week of P segmentation
The power Spectral Estimation that phase figure is averagely obtained entire signal is formula (8)：
Spectrum analysis for different invasion type signals finds out that the Energy distribution of each frequency content of unlike signal is different,
Wavelet transformation is carried out to acquisition signal, obtains the energy signal on different scale, extraction Wavelet Energy Spectrum is as a kind of signal spy
Sign is identified.
Further：Extraction Wavelet Energy Spectrum is as the specific algorithm flow that a kind of signal characteristic is identified, to letter
Number A (n) carries out 6 floor wavelet decomposition, obtains wavelet coefficient：d1,d2,d3,d4,d5,d6,a6, wherein aiI-th layer of low frequency of representation signal
Partial wavelet coefficient, diThe wavelet coefficient of i-th layer of high frequency section of representation signal is reconstructed with each layer wavelet coefficient, obtained
The reconstruction coefficients D of small echo1,D2,D3,D4,D5,D6,A6, wherein A6It can represent D7, then signal can be expressed as formula (9)：
Wherein i represents Decomposition order, i=1,2 ..., I；
The quadratic sum of signal energy coefficient under a certain scale represents, as shown in formula (10)：
Wherein, N is data length, E=[E1,E2,…,EI] it is expressed as wavelet energies of the signal A (n) on i-th of scale
Spectrum.
The present invention is used and intrusion model is identified based on support vector machines (SVM) algorithm.Different invasions are acquired first
The signal of pattern carries out feature extraction and classifying, forms trained set of data samples, is trained using SVM algorithm, after obtaining
Continuous identification network model.
Advantageous effect：
Distributed fiberoptic sensor described in the present invention be utilized Φ-OTDR (phase sensitive optical time domain reflectometer,
Phase-sensitive optical time-domain reflectometer) it is dry between backward Rayleigh scattering light in system
Effect is related to, reflected Rayleigh scattering light interferes at optical fiber different location, it is detected using photodetector
Interference signal.
In order to carry out security monitor to key areas such as military base, state boundary, nuclear power station, power station, prisons, use
Φ-OTDR technique.The interference technique of light is most accurately one of measuring method at present, and the distribution type fiber-optic based on fibre scattering
Sensor is the sensor that can uniquely cover dozens or even hundreds of kilometer in the world at present, carry out full distributed measurement, is interfered
Perfect adaptation with scattering the two optical phenomenas, the research for the present invention that has just been born：It can highly sensitive, high-precision, big model
Enclose interior acquisition high quality vibration data system-distributed fiberoptic sensor.Compared with other technologies, Φ-OTDR technique has such as
Lower advantage：
1) high sensitivity.Φ-OTDR systematic surveys vibration sensitivity is higher at present.Although the distribution based on Brillouin scattering
Formula optical fibre vibration sensor (DFVS) can be strained with linear measurement, but its sensitivity is far below Φ-OTDR technique.
2) it is simple in structure.Since the transducing signal of Φ-OTDR is Rayleigh scattering light, and Rayleigh scattering and the characteristic of pump light
It is directly linked, does not need to the participation of other light, the mechanism of sensing is the most direct.
3) multiple spot detects.Multiple spot vibration detection simultaneously can be achieved.
A kind of distributed fiberoptic sensor of accurately many reference amounts identification foreign body intrusion proposed by the present invention, the system pass through
Using secondary amplification and the modes such as difference detecting, make the system can with extra long distance, superelevation signal-to-noise ratio, monitoring foreign matter enters in real time
It invades.The sensor can carry out multi-feature extraction to collected signal, can extract the information such as amplitude, phase and frequency.
The sensor, so the accuracy of identification is significantly promoted, can be identified accurately different by the extraction to signal multiple features
Object intrusion event.
A kind of foreign body intrusion signal proposed by the present invention perceives processing method, using based on support vector machines (SVM) algorithm
Intrusion model is identified.The signal for acquiring different intrusion models first carries out feature extraction and classifying, forms trained number
It according to sample set, is trained using SVM algorithm, obtains follow-up identification network model.
Description of the drawings
Fig. 1 is the structure diagram of the distributed fiberoptic sensor of the identification foreign body intrusion of the present invention；
Fig. 2 perceives flow chart for foreign body intrusion signal；
Fig. 3 is quadrature demodulation scheme figure；
Fig. 1 is the optical fiber sensor device figure for identifying foreign body intrusion.
In figure：1st, laser, 2, fiber coupler one, 3, acousto-optic modulator, 4, EDFA Erbium-Doped Fiber Amplifier one, 5, circulator
One, 6, testing fiber, 7, EDFA Erbium-Doped Fiber Amplifier two, 8, circulator two, 9, fiber coupler two, 10, balanced detector, 11,
Data acquisition unit, 12, host computer, 13, arbitrary-function generator, 14, wave filter.
Specific embodiment
The exemplary embodiment of the present invention is described hereinafter in connection with attached drawing.For clarity and conciseness,
All features of actual implementation mode are not described in the description.It should be understood, however, that developing any this actual implementation
It must be made during example much specific to the decision of embodiment, to realize the objectives of developer, for example, symbol
Conjunction and system and those relevant restrictive conditions of business, and these restrictive conditions may have with the difference of embodiment
Changed.In addition, it will also be appreciated that although development is likely to be extremely complex and time-consuming, to having benefited from the present invention
For those skilled in the art of disclosure, this development is only routine task.
Herein, it is also necessary to which explanation is a bit, in order to avoid because having obscured the present invention during unnecessary details, in the accompanying drawings
The apparatus structure closely related with scheme according to the present invention and/or processing step are illustrate only, and is omitted and the present invention
The little other details of relationship.
Embodiment 1：A kind of distributed fiberoptic sensor for identifying foreign body intrusion is present embodiments provided as shown in Figure 1,
Including laser 1, fiber coupler 1, acousto-optic modulator 3, EDFA Erbium-Doped Fiber Amplifier 1, circulator 1, testing fiber 6,
EDFA Erbium-Doped Fiber Amplifier 27, circulator 28, fiber coupler 29, balanced detector 10, data acquisition unit 11, host computer
12nd, arbitrary-function generator 13 and wave filter 14；
The incident light of laser 1 is divided into two-way by fiber coupler 1, and upper branch is as detection light, lower branch conduct
Reference light；Light is detected all the way by acousto-optic modulator 3, and the electric pulse generated by arbitrary-function generator 13 is loaded in acousto-optic tune
In the driving of device processed, by continuous light modulation into pulsed light, it is amplified using EDFA Erbium-Doped Fiber Amplifier 1, amplified arteries and veins
It washes off from one 5 port 1 of circulator and generates rear orientation light after port 2 enters testing fiber 6, rear orientation light is using mixing
Bait fiber amplifier 27 carries out secondary amplification；Enter wave filter 14 by port 2 from the port of circulator 281 again and carry out noise
Filter out, the reflection end of wave filter 14 passes through the port 3 of circulator 28, and fiber coupler 29 is incident on together with reference light
In, fiber coupler 29 has four ports, and reference light carries out beat frequency, the bat that fiber coupler 29 exports in four end couplers
Frequency light, the beat signal of outgoing carry out photoelectric conversion using balanced detector 10, are triggered finally by arbitrary-function generator 13
The data acquisition unit 11 of control acquires Rayleigh scattering signal, and collected Rayleigh scattering signal is analyzed by host computer 12
And demodulation.Multiple feature extractions are carried out to the signal analyzed and demodulated again, pattern-recognition finally is carried out to eigenmatrix, is identified
Foreign body intrusion event.
Specifically：The laser is external cavity semiconductor laser, and it is continuous sharp near 1550nm to generate centre wavelength
Light.
Specifically：The laser 1 is using distributed feedback type semiconductor laser (DFB) or tunable optical fiber laser.
Specifically：The laser 1 is polarization maintaining optical fibre output.
Specifically：The coupling ratio of the fiber coupler 1 is 95:5、80:20 or 50:50.
Specifically：The wave filter 14 is fiber grating filter or tunable optic filter.
Embodiment 2：A kind of foreign body intrusion signal that the present embodiment as shown in attached drawing 2 and Fig. 3 proposes perceives processing method, should
Method is that the distributed fiberoptic sensor based on identification foreign body intrusion described in embodiment 1 is realized, identifies point of foreign body intrusion
Cloth fibre optical sensor is actually a vibration perception system, and external force, which acts on earth's surface, when outside invading event occurs makes earth's surface
Vibration, is vibrated and is propagated in the soil in the form of mechanical wave, and pre-buried optical fiber, which experiences ground surface vibration, can excite forced damped vibrations,
The refractive index of optical fiber is made to change, rear orientation light generates interference in a fiber, and photosignal includes and outside invading phase
The information of pass can be determined that generation and its property of outside invading event by signature analysis and processing.
Specially：
The incident light of laser passes through acousto-optic modulator and erbium-doped fiber all the way by the detection light after fiber coupler one
Amplifier one, then be injected into testing fiber by circulator one, the Rayleigh scattering light being reflected back in optical fiber is again successively by mixing
Bait fiber amplifier two carries out secondary amplification；Again from the port of circulator two 1 by port 2 enter wave filter, wave filter it is anti-
Port 3 of the end by circulator two is penetrated, is incident on together with reference light in fiber coupler two, the bat that fiber coupler two exports
Frequency light carries out photoelectric conversion, then signal is acquired by data acquisition unit using balanced detector；Pass through digital coherent
Detection technique, the amplitude and phase that the Rayleigh signal electric field come is scattered back to fiber link carry out Real-time demodulation, are carried by feature
Short-time zero-crossing rate, power spectral density, Wavelet Energy Spectrum and phase property parameter are obtained out, Real-time demodulation goes out signal characteristic, utilizes
Characteristic vector carries out more classification mode identifications using the algorithm of support vector machine of binary tree structure.
Specifically：The balanced detector carries out photoelectric conversion to beat signal, exports AC portion, data processing unit
AC signal is converted into digital signal feeding computer and is handled；Digital signal is obtained using orthogonal demodulation method again
The amplitude and phase of Rayleigh signal；Specially：
The alternating current that balanced detector detects is shown in formula (1)：
A in formulaLOFor the amplitude of reference light, aRFor the amplitude of Rayleigh scattering light, ω is the frequency shift amount of acousto-optic modulator,For the phase of Rayleigh scattering light,Phase for reference light；
Orthogonal demodulation method：It is multiplied by the sinusoidal signal and cosine signal that a frequency is ω to P (t) respectively first, then
Low-pass filtering is carried out to result, obtained I, the output result of Q two-way is shown in formula (2) and (3)：
The amplitude and phase finally demodulated is formula (4) and (5)；
K is integer in formula, then the phase is handled by phase unwrapping integration method, obtains Rayleigh scattering light phase.
Further：The short-time zero-crossing rate represents the number that signal amplitude in a frame signal passes through fixed level, is one
The simple metric of kind signal frequency, shown in circular such as formula (6)：
In formula, A (n) is the amplitude for acquiring signal, and α is the fixed level threshold value of setting, and ψ represents a function, works as bracket
The functional value is 1 when being set up in Chinese style, and invalid duration is 0.
Specifically：The short-time rating spectrum density of signal is calculated by figure method average period, gathered data is carried out segmentation adds
Window processing is first obtained every section of Power estimation, is then averagely obtained short-time rating Power estimation respectively,Represent power spectrum
Estimation as a result, the length N of A (n) is divided into P section by algorithmic procedure, every section of M data, then the modified periodogram of pth section is formula
(7)：
WhereinIt is normalization factor, ω (n) is added window function；To the week of P segmentation
The power Spectral Estimation that phase figure is averagely obtained entire signal is formula (8)：
Spectrum analysis for different invasion type signals finds out that the Energy distribution of each frequency content of unlike signal is different,
Wavelet transformation is carried out to acquisition signal, obtains the energy signal on different scale, extraction Wavelet Energy Spectrum is as a kind of signal spy
Sign is identified.
Specifically：Extraction Wavelet Energy Spectrum is as the specific algorithm flow that a kind of signal characteristic is identified, to signal A
(n) 6 layers of wavelet decomposition are carried out, obtain wavelet coefficient：d1,d2,d3,d4,d5,d6,a6, wherein aiI-th layer of low frequency part of representation signal
Wavelet coefficient, diThe wavelet coefficient of i-th layer of high frequency section of representation signal is reconstructed with each layer wavelet coefficient, obtains small echo
Reconstruction coefficients D1,D2,D3,D4,D5,D6,A6, wherein A6It can represent D7, then signal can be expressed as formula (9)：
Wherein i represents Decomposition order, i=1,2 ..., I；
The quadratic sum of signal energy coefficient under a certain scale represents, as shown in formula (10)：
Wherein, N is data length, E=[E1,E2,…,EI] it is expressed as wavelet energies of the signal A (n) on i-th of scale
Spectrum.
The present invention is used and intrusion model is identified based on support vector machines (SVM) algorithm.Different invasions are acquired first
The signal of pattern carries out feature extraction and classifying, forms trained set of data samples, is trained using SVM algorithm, after obtaining
Continuous identification network model.
Although disclosed embodiment is as above, its content is only to facilitate understand the technical side of the present invention
Case and the embodiment used, are not intended to limit the present invention.Any those skilled in the art to which this invention pertains, not
Under the premise of being detached from disclosed core technology scheme, any modification and change can be made in form and details in implementation
Change, but the protection domain that the present invention is limited, the range that the appended claims that must still be subject to limits.
Claims (10)
1. identify the distributed fiberoptic sensor of foreign body intrusion, it is characterised in that：Including laser (1), fiber coupler one
(2), acousto-optic modulator (3), EDFA Erbium-Doped Fiber Amplifier one (4), circulator one (5), testing fiber (6), EDFA Erbium-Doped Fiber Amplifier
Two (7), circulator two (8), fiber coupler two (9), balanced detector (10), data acquisition unit (11), host computer (12),
Arbitrary-function generator (13) and wave filter (14)；
The incident light of laser (1) is divided into two-way by fiber coupler one (2), and upper branch is as detection light, lower branch conduct
Reference light；Detection light by the acousto-optic modulator (3) controlled by arbitrary-function generator (13), is modulated into pulsed light all the way,
It is amplified by EDFA Erbium-Doped Fiber Amplifier one (4), amplified pulsed light enters from circulator one (5) port 1 by port 2
Testing fiber (6) generates rear orientation light afterwards, and rear orientation light carries out secondary amplification using EDFA Erbium-Doped Fiber Amplifier two (7)；
Enter wave filter (14) from the port of circulator two (8) 1 by port 2 again, the reflection end of wave filter 14 is by circulator 28
Port 3 is incident on together with reference light in fiber coupler two (9), and fiber coupler two (9) has four ports, fiber coupling
The beat frequency light that device 29 exports carries out photoelectric conversion using balanced detector (10), is touched finally by arbitrary-function generator (13)
Hair control data acquisition unit (11) acquisition Rayleigh scattering signal, collected Rayleigh scattering signal by host computer (12) into
Row analysis and demodulation.
2. the distributed fiberoptic sensor of identification foreign body intrusion according to claim 1, it is characterised in that：The laser
(1) using distributed feedback type semiconductor laser.
3. the distributed fiberoptic sensor of identification foreign body intrusion according to claim 1, it is characterised in that：The laser
(1) using tunable optical fiber laser.
4. the distributed fiberoptic sensor of identification foreign body intrusion according to claim 1, it is characterised in that：The laser
(1) it is polarization maintaining optical fibre output.
5. the distributed fiberoptic sensor of identification foreign body intrusion according to claim 1, it is characterised in that：The optical fiber coupling
The coupling ratio of clutch one (2) is 95:5、80:20 or 50:50；The wave filter (14) is fiber grating filter or tunable filter
Wave device.
6. foreign body intrusion signal perceives processing method, this method is based on any identification foreign body intrusion in Claims 1 to 5
Distributed fiberoptic sensor realize, it is characterised in that：It comprises the concrete steps that, the incident light of laser passes through fiber coupler one
Detection light afterwards is all the way by acousto-optic modulator and EDFA Erbium-Doped Fiber Amplifier one, then be injected into testing fiber by circulator one
In, the Rayleigh scattering light being reflected back in optical fiber carries out secondary amplification by EDFA Erbium-Doped Fiber Amplifier two successively again；Again from circulator
Two port 1 enters wave filter by port 2, and the reflection end of wave filter passes through the port 3 of circulator two, enters together with reference light
It is mapped in fiber coupler two, the beat frequency light that fiber coupler two exports, photoelectric conversion is carried out, then pass through using balanced detector
Data acquisition unit is acquired signal；By digital coherent detection technique, the Rayleigh signal come is scattered back to fiber link
The amplitude and phase of electric field carry out Real-time demodulation, and short-time zero-crossing rate, power spectral density, Wavelet Energy Spectrum are obtained by feature extraction
With phase property parameter, Real-time demodulation goes out signal characteristic, and the algorithm of support vector machine of binary tree structure is used using characteristic vector
Carry out more classification mode identifications.
7. according to claim 6 perceive processing method using foreign body intrusion signal, it is characterised in that：The balance detection
Device carries out photoelectric conversion to beat signal, exports AC portion, and AC signal is converted into digital signal and sent by data processing unit
Enter in computer and handled；Obtain the amplitude and phase of Rayleigh signal using orthogonal demodulation method to digital signal again；Specifically
For：
The alternating current that balanced detector detects is shown in formula (1)：
A in formulaLOFor the amplitude of reference light, aRFor the amplitude of Rayleigh scattering light, ω is the frequency shift amount of acousto-optic modulator,
For the phase of Rayleigh scattering light,Phase for reference light；
Orthogonal demodulation method：The sinusoidal signal and cosine signal that a frequency is ω are multiplied by P (t) respectively first, then to knot
Fruit carries out low-pass filtering, and obtained I, the output result of Q two-way is shown in formula (2) and (3)：
The amplitude and phase finally demodulated is formula (4) and (5)；
K is integer in formula, then the phase is handled by phase unwrapping integration method, obtains Rayleigh scattering light phase.
8. according to claim 7 perceive processing method using foreign body intrusion signal, it is characterised in that：The zero passage in short-term
Rate represents the number that signal amplitude in a frame signal passes through fixed level, is a kind of simple metric of signal frequency, specific to calculate
Shown in method such as formula (6)：
In formula, A (n) is the amplitude for acquiring signal, and α is the fixed level threshold value of setting, and ψ represents a function, when bracket Chinese style
The functional value is 1 during middle establishment, and invalid duration is 0.
9. according to claim 8 perceive processing method using foreign body intrusion signal, it is characterised in that：Pass through average period
Figure method calculates the short-time rating spectrum density of signal, and gathered data is carried out segmentation windowing process, every section of spectrum is first obtained respectively and estimates
Meter, is then averagely obtained short-time rating Power estimation,Represent power Spectral Estimation as a result, algorithmic procedure by A's (n)
Length N is divided into P sections, and every section of M data, then the modified periodogram of pth section is formula (7)：
WhereinIt is normalization factor, ω (n) is added window function；To P segmentation cyclic graph into
The power Spectral Estimation that row averagely obtains entire signal is formula (8)：
Spectrum analysis for different invasion type signals finds out that the Energy distribution of each frequency content of unlike signal is different, to adopting
Collect signal and carry out Wavelet transformation, obtain the energy signal on different scale, extraction Wavelet Energy Spectrum as a kind of signal characteristic into
Row identification.
10. according to claim 9 perceive processing method using foreign body intrusion signal, it is characterised in that：Extract small wave energy
The specific algorithm flow that amount spectrum is identified as a kind of signal characteristic is to carry out 6 layers of wavelet decomposition to signal A (n), obtain small
Wave system number：d1,d2,d3,d4,d5,d6,a6, wherein aiThe wavelet coefficient of i-th layer of low frequency part of representation signal, diRepresentation signal i-th
The wavelet coefficient of layer high frequency section, is reconstructed with each layer wavelet coefficient, obtains the reconstruction coefficients D of small echo1,D2,D3,D4,D5,
D6,A6, wherein A6It can represent D7, then signal can be expressed as formula (9)：
Wherein i represents Decomposition order, i=1,2 ..., I；
The quadratic sum of signal energy coefficient under a certain scale represents, as shown in formula (10)：
Wherein, N is data length, E=[E1,E2,…,EI] it is expressed as Wavelet Energy Spectrums of the signal A (n) on i-th of scale.
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| CN109377692A (en) * | 2018-11-13 | 2019-02-22 | 武汉研希科技有限公司 | A kind of Intelligent optical fiber vibration anti-intrusion method for early warning and system |
| CN109541715A (en) * | 2019-01-10 | 2019-03-29 | 宁波正业自动化科技有限公司 | Railway foreign body invasion safety perception and identifying system based on distributing optical fiber sensing |
| CN110044397A (en) * | 2019-03-14 | 2019-07-23 | 杭州电子科技大学 | A kind of quantitatively measuring device and its method of Real-Time Optical fiber disturbance sensing |
| CN110077247A (en) * | 2019-06-06 | 2019-08-02 | 北京有感科技有限责任公司 | Wireless charging foreign matter detection system and detection method based on optical fiber sensing network |
| CN110146116A (en) * | 2019-06-19 | 2019-08-20 | 南昌航空大学 | The localization method of Sagnac Fibre Optical Sensor under a kind of multipoint disturbance |
| CN110361037A (en) * | 2019-07-01 | 2019-10-22 | 武汉理工大学 | Based on dim light grid array distributed sensing pretreatment system and Peak Search Method |
| CN110987151A (en) * | 2019-12-17 | 2020-04-10 | 武汉伊莱维特电力科技有限公司 | Communication optical cable state real-time monitoring system |
| CN111060983A (en) * | 2019-12-02 | 2020-04-24 | 上海微波技术研究所（中国电子科技集团公司第五十研究所） | Self-adaptive threshold value calculation method and system of vibration sensing system |
| CN111649817A (en) * | 2020-06-30 | 2020-09-11 | 郑州信大先进技术研究院 | Distributed optical fiber vibration sensor system and mode identification method thereof |
| CN112349054A (en) * | 2020-11-09 | 2021-02-09 | 王一川 | Intelligent fence alarm system capable of realizing vibration detection |
| CN112556823A (en) * | 2020-12-08 | 2021-03-26 | 武汉理工光科股份有限公司 | Oil-gas pipeline cleaner ball-clamping positioning monitoring method and device based on distributed optical fiber sensing |
| CN112780951A (en) * | 2019-11-07 | 2021-05-11 | 中国石油化工股份有限公司 | Method, device and system for detecting storage tank and pipeline invasion event |
| CN112883521A (en) * | 2021-01-12 | 2021-06-01 | 中国科学院声学研究所南海研究站 | Seabed photoelectric composite cable external force invasion monitoring system applied to seabed observation network |
| CN113776644A (en) * | 2021-09-24 | 2021-12-10 | 中国电子科技集团公司第三十四研究所 | Optical fiber fence intrusion signal simulation device based on Mach-Zehnder interferometer |
| CN114008416A (en) * | 2019-04-22 | 2022-02-01 | 阿卜杜拉国王科技大学 | Signal processing algorithm for detecting rhynchophorus ferrugineus by using optical fibers |
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| CN109541715A (en) * | 2019-01-10 | 2019-03-29 | 宁波正业自动化科技有限公司 | Railway foreign body invasion safety perception and identifying system based on distributing optical fiber sensing |
| CN109541715B (en) * | 2019-01-10 | 2024-02-27 | 宁波正业自动化科技有限公司 | Railway foreign matter invasion safety sensing and identifying system based on distributed optical fiber sensing |
| CN110044397A (en) * | 2019-03-14 | 2019-07-23 | 杭州电子科技大学 | A kind of quantitatively measuring device and its method of Real-Time Optical fiber disturbance sensing |
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| CN110146116A (en) * | 2019-06-19 | 2019-08-20 | 南昌航空大学 | The localization method of Sagnac Fibre Optical Sensor under a kind of multipoint disturbance |
| CN110361037A (en) * | 2019-07-01 | 2019-10-22 | 武汉理工大学 | Based on dim light grid array distributed sensing pretreatment system and Peak Search Method |
| CN112780951A (en) * | 2019-11-07 | 2021-05-11 | 中国石油化工股份有限公司 | Method, device and system for detecting storage tank and pipeline invasion event |
| CN111060983A (en) * | 2019-12-02 | 2020-04-24 | 上海微波技术研究所（中国电子科技集团公司第五十研究所） | Self-adaptive threshold value calculation method and system of vibration sensing system |
| CN110987151A (en) * | 2019-12-17 | 2020-04-10 | 武汉伊莱维特电力科技有限公司 | Communication optical cable state real-time monitoring system |
| CN111649817A (en) * | 2020-06-30 | 2020-09-11 | 郑州信大先进技术研究院 | Distributed optical fiber vibration sensor system and mode identification method thereof |
| CN112349054A (en) * | 2020-11-09 | 2021-02-09 | 王一川 | Intelligent fence alarm system capable of realizing vibration detection |
| CN112556823A (en) * | 2020-12-08 | 2021-03-26 | 武汉理工光科股份有限公司 | Oil-gas pipeline cleaner ball-clamping positioning monitoring method and device based on distributed optical fiber sensing |
| CN112883521A (en) * | 2021-01-12 | 2021-06-01 | 中国科学院声学研究所南海研究站 | Seabed photoelectric composite cable external force invasion monitoring system applied to seabed observation network |
| CN112883521B (en) * | 2021-01-12 | 2023-04-07 | 中国科学院声学研究所南海研究站 | Seabed photoelectric composite cable external force invasion monitoring system applied to seabed observation network |
| CN113776644A (en) * | 2021-09-24 | 2021-12-10 | 中国电子科技集团公司第三十四研究所 | Optical fiber fence intrusion signal simulation device based on Mach-Zehnder interferometer |
| CN113776644B (en) * | 2021-09-24 | 2023-08-01 | 中国电子科技集团公司第三十四研究所 | Optical fiber fence intrusion signal simulation equipment based on Mach-Zehnder interferometer |
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