CN106023499B - A kind of dual recognition methods of optical fiber security signal and system - Google Patents
A kind of dual recognition methods of optical fiber security signal and system Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/181—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using active radiation detection systems
- G08B13/183—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using active radiation detection systems by interruption of a radiation beam or barrier
- G08B13/186—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using active radiation detection systems by interruption of a radiation beam or barrier using light guides, e.g. optical fibres
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Abstract
The invention discloses a kind of dual recognition methods of optical fiber security signal, comprise the following steps：S100：Optical fiber is obtained to deploy to ensure effective monitoring and control of illegal activities the phase difference of optical signal in region；S200：Obtain time-domain analysis signal bag；S300：The time-domain analysis signal bag is divided with default time span, obtains event signal；S400：Obtain the time-domain signal of event signal；S500：Obtain the frequency-region signal of event signal；S600：Connect the species of the location determination signal of zero point according to the frequency-region signal；S700：Construction feature template；S800：It cannot judge whether signal is abnormal signal according to judging the feature templates.Present invention reduces rate of false alarms.
Description
Technical field
The invention belongs to safety-security area, the dual recognition methods of more particularly to a kind of optical fiber security signal and system.
Background technology
Perimeter security system all has very important application in national defence and civil field, it is mainly used for boundary line, army
The circumference intrusion detection of the important areas such as thing base, warehouse, barracks, government facility, airport, nuclear power station and prison.Current
Circumference security and guard technology mainly has leaky cable, microwave to penetrating, infrared emission and optical fiber sensing technology etc..Optical fiber perimeter security protection system
System is that a kind of accident to threatening area safety is monitored and the modern defense system of alarm, is based on distribution type fiber-optic
Sensing technology is applied to the new system of circumference monitoring protection.Since optical fiber and fibre optical sensor have small, light-weight, anti-do
Disturb that ability is strong, high sensitivity, functional reliability are high, of low cost and the advantages that powering without outfield can be used as signal
The characteristics of transmission channel, allows it to show one's talent in other circumference security and guard technologies.In practical engineering application, sensor fibre is most
Number is exposed in external environment, and the unique sensor fibre of this design is very sensitive to movement, pressure and vibration.It can be along this
Fence, enclosure wall are laid with to detect climbing and percussion, can also be laid on detection under soil lawn and trample.But the high sensitivity of optical fiber must
The substantial amounts of alarm of system is so brought, and the analysis system based on time-domain signal energy is not enough to distinguish a large amount of event early warning, from
And cause higher rate of false alarm.The Chinese patent CN201610046738.0 of applicant's earlier application discloses a kind of optical fiber security protection
Signal processing method and system, but need the time domain for obtaining event signal according to time-domain signal and frequency-region signal special in that patent
Frequency domain character, reconstructed frequency domain feature and temporal signatures seek peace as a data packet, all data in data packet are carried out afterwards
Processing, such system just need to handle substantial amounts of data, reduce system running speed.
The content of the invention
The defects of for the prior art, the present invention provides a kind of dual recognition methods of optical fiber security signal and systems.
A kind of dual recognition methods of optical fiber security signal, comprises the following steps：S100：Optical fiber is obtained to deploy to ensure effective monitoring and control of illegal activities light letter in region
Number phase difference；S200：By the phase difference of optical signal temporally on sample rate be changed into amplitude difference on electric signal,
Obtain time-domain analysis signal bag；S300：The time-domain analysis signal bag is divided with default time span, obtains event signal；
S400：The AC portion of the event signal is extracted, obtains the time-domain signal of event signal；S500：To the time-domain signal into
Row Fast Fourier Transform obtains the frequency-region signal of event signal；S600：Connect the location determination of zero point according to the frequency-region signal
The species of signal, the signal kinds include：Abnormal signal, non-abnormal signal and cannot judge signal；S700：To it is described not
It can judge that signal carries out cluster analysis, construction feature template；S800：It cannot judge signal according to judging the feature templates
Whether it is abnormal signal.
A kind of dual identifying system of optical fiber security signal, including with lower module：Phase difference acquisition module, for obtaining light
Fibre is deployed to ensure effective monitoring and control of illegal activities the phase difference of optical signal in region；Time-domain analysis signal bag acquisition module, for the phase difference of optical signal to be pressed
Temporal sample rate is changed into the amplitude difference on electric signal, obtains time-domain analysis signal bag；Division module, for default
Time span divide the time-domain analysis signal bag, obtain event signal；First acquisition module extracts the event signal
AC portion obtains the time-domain signal of event signal；Second acquisition module, for carrying out fast Flourier to the time-domain signal
Conversion obtains the frequency-region signal of the event signal；First judgment module, for connecting the position of zero point according to the frequency-region signal
Judge the species of signal, the signal kinds include：Abnormal signal, non-abnormal signal and cannot judge signal；Feature templates structure
Block is modeled, for that cannot judge that signal carries out cluster analysis, construction feature template to described；Second judgment module, for basis
The feature templates cannot judge whether signal is abnormal signal described in judging.
The beneficial effects of the invention are as follows：The present invention proposes that one kind is based on the basis of fully analysis human behavior feature
Time domain denoising, the signal identification new method of frequency domain filtering.In the case where ensureing not fail to report, most event signals are collected,
Judge by even zero, signal to be determined only is sent to subsequent step processing judges, so greatly reduces number to be treated
According to amount, processing speed is improved；Then similarity analysis is carried out by all kinds of event-templates built with cluster analysis.The present invention
Double identification in this way in the case where ensureing recognition time and alarm rate, reduces rate of false alarm, is optical fiber perimeter safety-protection system
Important support is provided.
Description of the drawings
Fig. 1 is the flow chart of the dual recognition methods of optical fiber security signal of the present invention；
Fig. 2 is the flow chart of step S500；
Fig. 3 is the schematic diagram of step S600；
Fig. 4 is the flow chart of step S700；
Fig. 5 is the structure diagram of the dual identifying system of optical fiber security signal of the present invention.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, below in conjunction with the accompanying drawings to the present invention
Specific embodiment be described in detail, make the above and other purpose of the present invention, feature and advantage will become apparent from.Complete
Identical reference numeral indicates identical part in portion's attached drawing.Not deliberately attached drawing drawn to scale, it is preferred that emphasis is show this hair
Bright purport.
Embodiment 1
The dual recognition methods of optical fiber security signal of the present invention is introduced first, referring to Fig. 1, the security protection letter of the present invention
Number processing method is on the basis of fully analysis human behavior feature, it is proposed that one kind is based on time domain denoising, the letter of frequency domain filtering
Most event signals are collected in number recognition methods, pass through time domain denoising, representative frequency domain is extracted in frequency domain filtering compression
Then feature carries out similarity analysis, so as to judge whether to invade by all kinds of event-templates built with cluster analysis
Event.
S100：Optical fiber is obtained to deploy to ensure effective monitoring and control of illegal activities the phase difference of optical signal in region.Can the light be obtained by M-Z type interferometer
The phase difference of signal, the optical signal deployed to ensure effective monitoring and control of illegal activities using M-Z type optical fiber perimeter safety-protection system Real-time Feedback in region.If optical signal
There are unusual fluctuations in phase, then it is assumed that event occurs.
S200：By the phase difference of optical signal temporally on sample rate be changed into amplitude difference on electric signal, obtain
Time-domain analysis signal bag.When event occurs, light sensing unit (M-Z type) temporally on sample rate by optical signal phase
Difference is transformed into the difference of amplitude on electric signal, obtains time-domain analysis signal bag.
S300：The time-domain analysis signal bag is divided with default time span, obtains event signal.Time domain pre-processes：
When fiber phase generates instantaneous unusual fluctuation, the time was typically lasted for less than 1 second by analysis.It is corresponding, the instantaneous row of people
It is persistently similar for influence of the temporal effect with natural phenomena to fiber phase.But divide from the angle of body mechanics
Analysis, the transient behavior of people is in certain scope of application.Such as one minute 60~80 step of normal walking for each person.By 100 meters
Distance carries out analysis of running, and the paces of people are 60 steps or so, and the time of running is 12 second or so.The punch number of people is 5 in 1 second
It is secondary or so.For the most short stress time, the behavior of people has trend, is limited to the mechanics of body parts muscle and bone
Characteristic, everything can not all exceed the speed of limb action and the limits of capacity of frequency.So people to the influence that optical fiber acts on from
For strength speed, direction and movement locus depending on action；For frequency, position and mode depending on action.People
Behavior be typically series of actions, analyze on the whole, the interference of natural environment be also likely to be it is discontinuous, interruption it is a succession of
Interference.The interference of animal also belongs to speed and frequency in a segment limit because meeting the mechanical characteristic of muscle and bone.From mechanics
It is analyzed in angle, to continue to keep stress, just have to last for effectively doing work.And that persistently does work is typically machine vibration, exception
Natural environment.
So being analyzed from time domain, the time analysis upper limit for being used to implement optical fiber perimeter security protection can be 10s.Simultaneously from work
The domain analysis of journey practice, an early warning system needs distinguish the event of triggering within the shortest time.Take into full account people in engineering
Behavioural trait substantially divides single time-domain analysis signal bag into 0.1~1s.Pass through the event of experiment test different time span
Data packet, present invention discover that actual discrimination highest when packet time span is 0.25 second or so in intrusion behavior.Institute
It is established with the present invention with 0.25 second time domain system as event data analysis time span.
S400：The AC portion of the event signal is extracted, obtains the time-domain signal of event signal.The event letter collected
It can only be needed to extract signal communication Partial Feature in event analysis, it is therefore desirable to pass through calculation there are some direct current signals in number
Method filters out the direct current signal in signal.S is defined as per frame signali(n), definition signal average is：
The DC signal component part is made to beThen AC portion isMeanwhile
Signal is invaded substantially within 100KHz.By down-sampled to event signal.It is down-sampled to obtain compressed data packet.
S500：The frequency-region signal that Fast Fourier Transform obtains the event signal is carried out to the time-domain signal.Due to
There are some difference on the energy and zero-crossing rate of the time domain waveform of artificial invasion signal and ambient noise, therefore the present invention is according to signal
Short-time zero-crossing rate and short-time energy size extract the temporal signatures of event signal.As shown in Fig. 2, it comprises the following steps：
S501：Calculate short-time energy and short-time zero-crossing rate.It is S to define the time-domain signal receivedi(n), it is short per frame signal
Shi Nengliang is
If the short-time zero-crossing rate per frame is
The short-time energy of computing environment noise and short-time zero-crossing rate, it is assumed that preceding 10 frame signal is ambient noise, is obtained first
Per the mean square deviation of frame noise, using the average of this 10 mean square deviations as the direct current biasing of signal short-time zero-crossing rate.Preceding 10 frame is obtained
Short-time energy and short-time zero-crossing rate average Zmean、EmeanWith standard deviation Zstd、Estd, it is possible to obtain its initial value Z0=
Zmean+2*ZstdAnd E0=Emean+2*Estd, two coefficient E are setcoefAnd ZcoefAs threshold value, change two coefficient values for adjusting
The sensitivity of section system.
S502：Preset time is often crossed, repeats step S501, the frame less than threshold value is only calculated, changes threshold value；The default time
When can be 1 small, 1 day etc..
S503：Extract the time-domain signal x (n) of event signal.If there is a frame signal S at this timei(n) it is judged as invasion letter
Number, take out the former frame S of the frame signali-1(n) 5 subframes are bisected into, calculate in short-term for these subframes respectively from back to front
Amount.Take out several subframes that short-time energy in subframe is more than threshold value, the starting point as this time invasion signal.Same method is found out
Invade the terminal of signal.Extract signal x (n).
S504：Frequency domain character processing：After event signal extracts feature in time domain, event signal again by FFT transform,
Frequency domain data is normalized again, as frequency domain character.Fourier transformation is done to time-domain signal x (n) and draws frequency domain characteristic：
Then frequency-region signal is normalized：
S600：Connect the species of the location determination signal of zero point according to frequency domain character, the signal kinds include：Abnormal letter
Number, non-abnormal signal and it cannot judge signal.
It is found by the applicant that can generate different optical signals for optical fiber different types of invasion in region of deploying to ensure effective monitoring and control of illegal activities, animal class enters
Invading caused optical signal can be with faster velocity attenuation, and artificially invading caused optical signal can be declined with slower speed
Subtract, and some signal rates of decay need to do further judgement between invading and is non-intrusive.Based on this, the present invention passes through company
The rate of decay of reflected optical signal is carried out in the region that continuous zero-signal occurs, and then judges the species for signal occur accordingly, that is, connects zero
Judge.Signal kinds include：Abnormal signal, non-abnormal signal and cannot judge signal.
S601：Obtain normalized optical signal frequency domain character Xnorm(k) after, by frequency domain character Xnorm(k) press adjustable less than one
Parameter VminIt is filtered, makes Xnorm(k)=0；if Xnorm(k)<Vmin, k=0,1 ..., N.Xnorm(k) value reflects invasion
The power of signal, X during without intrusion behavior or non-artificial invasionnorm(k) value is 0 or a smaller value, when artificial invasion occurs
Xnorm(k) become larger.Adjustable parameter V will be less thanminXnorm(k) value is handled by 0, so just obtain some continuous zero
Signal.
S602：Adjustable parameter v is setjudg 1,vjudg 2, entire frequency domain is divided into 3 parts
fjudg 1：(0, vjudg 1],
fjudg 2：(vjudg 1, vjudg 2],
fjudg 3：(vjudg 2,+∞)
S603：One definite value V is setzero, when the signal for occurring meeting following formula in a frequency domain for the first time, record farea+
VzeroRegion.
Xnorm(k)=0；If k=farea,…,farea+Vzero
S604：If farea+VzeroIn fjudg 1Then it is determined as non-intrusive data (non-abnormal signal)；If in fjudg 3Then
It is judged to invading data (abnormal signal)；If in fjudg 2(cannot judge signal) then enters the algorithm of cluster analysis.
Referring to Fig. 3, tri- optical signal frequency domain character X of A, B, C in Fig. 3norm(k) curve represent respectively three kinds it is different
Invasion situation, wherein A curves are non-artificial invasion (non-abnormal signal), and B is undecidable situation (cannot judge signal), and C is
Artificial invasion (abnormal signal), zero determining method of company according to the present invention, for A class situations, Xnorm(k) in k=fareaPlace is less than
Adjustable parameter Vmin, at this time start recording continuously occur zero number, recording definite value VzeroAfter secondary zero occurs, Xnorm(farea+
Vzero)=0, at this time farea+VzeroPositioned at fjudg 1∶(0,vjudg 1] this region, then it can determine that A belongs to non-artificial invasion.With A
Determination method it is identical, can judge can be determined that B belongs to undecidable situation by even zero, and C belongs to artificial invasion.
By this judgement, signal has been divided into non-intrusive signal, signal to be determined and invasion signal by the present invention, for light
For fine safety-protection system, most of signals belong to be easier the non-intrusive signal judged or invasion signal, and this kind of signal is not
It needs to do further judgement processing again, therefore can signal to be determined be only sent to subsequent step processing and judged, it is so big
Reduce data volume to be treated greatly, improve processing speed.
S700：It cannot judge that signal carries out cluster analysis, construction feature template to described.It is formal before use, poly- in system
The feature for closing a large amount of events carries out cluster analysis, and various types of another characteristic template is constructed by cluster analysis.Again by each class
Other template is divided into 2 classes：One kind is artificial；One kind is non-artificial.Each is invaded the time-frequency characteristics data of signal by the present invention
Regard one group of vector as.One or several masterplate vectors of every class invasion signal are found out using K mean cluster method, refer to Fig. 4.
S701：Classify number k determines according to actual conditions, the object x maximum from 2 distances of n data Object Selectioni1, xi2
As accumulation；
S702：Select the 3rd accumulation xi3, meet following relation：
min{d(xi3, xir)=max { min { d (xj, xir)}}
Wherein：R=1,2；j≠i1,i2；
S703：Step S702 is repeated until selecting k-th of accumulation Xik, obtain the set of k initial accumulations：
Principle of classification is denoted as：
Then, sample is divided into disjoint k classes, obtains a preliminary classification：
S704：Accumulation is recalculated according to preliminary classification, rule is as follows：
S705：After repetition step S704m times, current class G(m)With preceding subseries G(m-1)When equal, i.e. G(m)=G(m-1)
When, then it calculates and terminates；
S706：It willIt is preserved as one group of masterplate.
S800：It cannot judge whether signal is artificial invasion signal according to judging the feature templates.It will count in real time
Similarity is compared according to feature masterplate, takes the class template of similarity maximum.Then judge templet is to belong to artificially also right and wrong again
Artificially.In this, as output, alarm signal, non-artificial generation standby signal are artificially generated.Since cosine similarity is bigger, then table
Bright invasion signal is higher in the similarity of masterplate.Calculate invasion signal x and masterplateBetween cosine similarity:
Obtain one group of cosine similarity array xcor.Therefore maximum xcor in xcor is obtainediWith classification i, and this is entered
It invades signal and invades signal as the i-th class.
Embodiment 2
Correspondingly, as shown in figure 5, the present invention also provides a kind of dual identifying system of optical fiber security signal, a kind of optical fiber
Security signal processing system, including with lower module：Phase difference acquisition module is deployed to ensure effective monitoring and control of illegal activities optical signal in region for obtaining optical fiber
Phase difference；Time-domain analysis signal bag acquisition module, for by the phase difference of optical signal temporally on sample rate be changed into
Amplitude difference on electric signal obtains time-domain analysis signal bag；Division module, for default time span division it is described when
Domain analysis signal bag, obtains event signal；First acquisition module extracts the AC portion of the event signal, obtains event letter
Number time-domain signal；Second acquisition module obtains the event letter for carrying out Fast Fourier Transform to the time-domain signal
Number frequency-region signal；First judgment module, for connecting the species of the location determination signal of zero point, institute according to the frequency-region signal
Stating signal kinds includes：Abnormal signal, non-abnormal signal and cannot judge signal；Feature templates build module, for described
It cannot judge that signal carries out cluster analysis, construction feature template；Second judgment module, for judging institute according to the feature templates
Stating cannot judge whether signal is abnormal signal.
Many details are elaborated in the above description in order to fully understand the present invention.But above description is only
Presently preferred embodiments of the present invention, the invention can be embodied in many other ways as described herein, therefore this
Invention from specific implementation disclosed above limitation.Any those skilled in the art are not departing from the technology of the present invention simultaneously
In the case of aspects, all technical solution of the present invention is made using the methods and technical content of the disclosure above many possible
Changes and modifications or the equivalent embodiment for being revised as equivalent variations.Every content without departing from technical solution of the present invention, according to this
The technical spirit of invention still falls within skill of the present invention to any simple modifications, equivalents, and modifications made for any of the above embodiments
In the range of the protection of art scheme.
Claims (10)
1. a kind of dual recognition methods of optical fiber security signal, which is characterized in that comprise the following steps：
S100：Optical fiber is obtained to deploy to ensure effective monitoring and control of illegal activities the phase difference of optical signal in region；
S200：By the phase difference of optical signal temporally on sample rate be changed into amplitude difference on electric signal, obtain time domain
Signal Analysis bag；
S300：The time-domain analysis signal bag is divided with default time span, obtains event signal；
S400：The AC portion of the event signal is extracted, obtains the time-domain signal of event signal；
S500：The frequency-region signal that Fast Fourier Transform obtains event signal is carried out to the time-domain signal；
S600：Connect the species of the location determination signal of zero point according to the frequency-region signal, the signal kinds include：Abnormal letter
Number, non-abnormal signal and it cannot tentatively judge signal；
S700：The frequency-region signal of acquisition intrusion event and environment passes through cluster analysis, construction feature template；
S800：It cannot judge whether signal is abnormal signal according to judging the feature templates.
2. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that pass through M-Z type interferometer
Obtain the phase difference of the optical signal.
3. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that span when described default
It spends for 0.1-1S.
4. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that span when described default
It spends for 0.25S.
5. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that the step S400 is specific
Including:S is defined as per frame event signali(n), defining event signal average is
N represents n-th each sampled point in formula, makes the DC signal component part be
Then AC portion is
6. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that the step S500 is specific
Including：
S501：The every frame event signal received is Si(n), per the short-time energy E of frame event signaliFor
If the short-time zero-crossing rate Z per frameiFor
Sgn is sign function in formula；
The short-time energy of computing environment noise and short-time zero-crossing rate, it is assumed that preceding 10 frame event signal is ambient noise, is obtained first
Per the mean square deviation of frame noise, using the average of this 10 mean square deviations as the direct current biasing of signal short-time zero-crossing rate, preceding 10 frame is obtained
Short-time energy and short-time zero-crossing rate average Zmean、EmeanWith standard deviation Zstd、Estd, obtain its initial value Z0=Zmean+2*
ZstdAnd E0=Emean+2*Estd, two coefficient E are setcoefAnd ZcoefAs threshold value, two threshold values are used for regulating system sensitivity；
S502：Preset time is often crossed, repeats step S501, the frame less than threshold value is only calculated, changes threshold value；
S503：If there is a frame signal S at this timei(n) invasion signal is judged as, takes out the former frame S of the frame signali-1(n) divide equally
For 5 subframes, the short-time energy of these subframes is calculated respectively from back to front, take out short-time energy in subframe and be more than the several of threshold value
A subframe as the starting point of this time invasion signal, similarly finds out the terminal for invading signal, extracts the time-domain signal of event signal
x(n)；
S504：Fourier transformation is done to time-domain signal x (n) and draws frequency-region signal：
Then frequency-region signal is normalized：
7. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that the step S600 is specific
Including：
S601：Obtain normalized optical signal frequency domain character Xnorm(k) after, by frequency domain character Xnorm(k) press and be less than an adjustable parameter
VminIt is filtered, makes Xnorm(k)=0；if Xnorm(k)<Vmin, k=0,1 ..., N；
S602：Adjustable parameter v is setjudg1,vjudg2, entire frequency domain is divided into 3 parts,
fjudg1∶(0,vjudg1],fjudg2∶(vjudg1,vjudg2],fjudg3∶(vjudg2,+∞)；
S603：One definite value V is setzero, when meeting for the first time in a frequency domain
Xnorm(k)=0；If k=farea,…,farea+Vzero
Signal when, record farea+VzeroRegion；
S604：If farea+VzeroIn fjudg1Then it is determined as non-abnormal signal；If in fjudg3Then it is determined as abnormal signal；Such as
Fruit is in fjudg2Then enter step S700.
8. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that the step S700 is specific
Including：
S701：Determine classification number k, the object x maximum from 2 distances of n data Object Selectioni1, xi2As accumulation；
S702：Select the 3rd accumulation xi3, meet following relation：
min{d(xi3, xir)=max { min { d (xj, xir)}}
Wherein：R=1,2；j≠i1, i2；
S703：Step S702 is repeated until selecting k-th of accumulation Xik, obtain the set of k initial accumulations：
Principle of classification is denoted as：
Then, sample is divided into disjoint k classes, obtains a preliminary classification：
S704：Accumulation is recalculated according to preliminary classification, rule is as follows：
S705：After repetition step S704m times, G is obtained(m)=G(m-1), then calculate and terminate；
S706：It willIt is preserved as one group of masterplate.
9. the dual recognition methods of optical fiber security signal according to claim 1, which is characterized in that the step S800 bags
It includes：
Calculate invasion signal x and masterplateBetween cosine similarity:
One group of cosine similarity array xcor is obtained, maximum xcor in xcor is obtainediWith classification i, and using the invasion signal as
I-th class invades signal.
10. a kind of dual identifying system of optical fiber security signal, which is characterized in that including with lower module：
Phase difference acquisition module is deployed to ensure effective monitoring and control of illegal activities the phase difference of optical signal in region for obtaining optical fiber；
Time-domain analysis signal bag acquisition module, for by the phase difference of optical signal temporally on sample rate be changed into electric signal
On amplitude difference, obtain time-domain analysis signal bag；
Division module for dividing the time-domain analysis signal bag with default time span, obtains event signal；
First acquisition module extracts the AC portion of the event signal, obtains the time-domain signal of event signal；
Second acquisition module, the frequency domain that the event signal is obtained for carrying out Fast Fourier Transform to the time-domain signal are believed
Number；
First judgment module, for connecting the species of the location determination signal of zero point, the signal kinds according to the frequency-region signal
Including：Abnormal signal, non-abnormal signal and cannot judge signal；
Feature templates build module, and the frequency-region signal for gathering intrusion event and environment passes through cluster analysis, construction feature mould
Plate；
Second judgment module, for that cannot judge whether signal is abnormal signal according to feature templates judgement.
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| CN107067605A (en) * | 2016-12-31 | 2017-08-18 | 上海华魏光纤传感技术有限公司 | A kind of distributed optical fiber fence vibrating intruding recognition methods |
| CN106600870A (en) * | 2016-12-31 | 2017-04-26 | 上海华魏光纤传感技术有限公司 | Distributed optical fiber fence vibration invasion identifying system |
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