CN104794839A - POTDR (polarization optical time domain reflectometer) based optical fiber intrusion recognition algorithm - Google Patents
POTDR (polarization optical time domain reflectometer) based optical fiber intrusion recognition algorithm Download PDFInfo
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- 239000013307 optical fiber Substances 0.000 title claims abstract description 16
- 230000003287 optical effect Effects 0.000 title abstract description 7
- 230000010287 polarization Effects 0.000 title abstract 2
- 239000000835 fiber Substances 0.000 claims description 33
- 238000000034 method Methods 0.000 claims description 17
- 239000011159 matrix material Substances 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 9
- 239000000203 mixture Substances 0.000 claims description 8
- 238000005070 sampling Methods 0.000 abstract description 10
- 238000003491 array Methods 0.000 abstract description 6
- 230000009545 invasion Effects 0.000 description 13
- 230000008859 change Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000009897 systematic effect Effects 0.000 description 2
- 240000007594 Oryza sativa Species 0.000 description 1
- 235000007164 Oryza sativa Nutrition 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000000253 optical time-domain reflectometry Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 235000009566 rice Nutrition 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000005309 stochastic process Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/02—Mechanical actuation
- G08B13/12—Mechanical actuation by the breaking or disturbance of stretched cords or wires
- G08B13/122—Mechanical actuation by the breaking or disturbance of stretched cords or wires for a perimeter fence
- G08B13/124—Mechanical actuation by the breaking or disturbance of stretched cords or wires for a perimeter fence with the breaking or disturbance being optically detected, e.g. optical fibers in the perimeter fence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
Abstract
The invention belongs to the technical field of optical fiber sensing and discloses a POTDR (polarization optical time domain reflectometer) based optical fiber intrusion recognition algorithm. The algorithm includes reading initial data of 2N cycles which are acquired by an optical fiber vibration sensor at an acquisition terminal and then denoising; dividing an array X acquired after denoising and solving the difference value deltaX; dividing the difference value deltaX into multiple equal-length window arrays to form an array Y; calculating forth-order central distance of the window arrays of the array Y, comparing the forth-order central distance with the set threshold D, calibrating the above-threshold data Yaj of the array Y, and inputting the subscript aj to a coordinate array A; positioning an alarm point according to the minimum value amin of the array A, and repeating the step to perform the next recognition if no above-threshold array exists. Specifically, the arrangement mode of the initial data is consistent with the arrangement mode of sampling points of the optical fiber sensor, the subscripts of the window arrays are coordinates of the corresponding sampling points; the coordinates of the sampling points represent optical length of the sampling points in the optical fiber. With the window arrays, reliability and positioning accuracy of the intrusion recognition algorithm are improved.
Description
Technical field
The present invention relates to technical field of optical fiber sensing, particularly one is based on POTDR fiber optic intrusion recognizer.
Background technology
Distributed optical fiber vibration sensing system, due to its advantage such as good, corrosion-resistant, highly sensitive and sensing unit is passive at electromagnetism interference, electrical insulating property, is widely used in important area and the place such as monitoring and protection border, military base, oil and gas pipes, power transmission cable.
System hardware is by comprising computing machine, data collecting card, photo-detector, light-pulse generator, sensor fibre link and optical circulator, and online analyzer composition, data collecting card is transferred to computing machine and carries out further algorithm process after collecting data.The flashlight of standard P OTDR sensor-based system comes from the backward Rayleigh scattering of the pulsed light of propagated forward.The maximum feature of such flashlight is: because the backward rayleigh scattering coefficient of general single mode fiber is very little, only have an appointment 10
-7/ rice, so the flashlight produced is very weak, at the order of magnitude of a few to tens of nanowatts.Meanwhile, because the frequency of flashlight is very high, tens to megahertz up to a hundred, so the noise equivalent power of photo-detector is also in tens of nanowatt.Finally cause the signal to noise ratio (S/N ratio) of system very low.In addition because Rayleigh scattering itself is a stochastic process, there is fluctuation, the noise of signal can be caused thus.
Due to the feature of the above signal, in the engineer applied of reality, due to the complexity of engineering-environment, external interference is more, add the imperfect of the part such as the light source of system self, light spy, also easily cause the sudden change of signal, the false alarm of system may be caused, reliability is lower, and recognizer also cannot accurately make positioning precision lower by locating alarming point simultaneously.
Summary of the invention
The invention provides a kind of based on POTDR fiber optic intrusion recognizer, solve invasive biology reliability in prior art low, the problem that positioning precision is low, greatly promote reliability and the positioning precision of invasive biology.
For solving the problems of the technologies described above, the invention provides a kind of based on POTDR fiber optic intrusion recognizer, comprising:
Read the raw data in 2N the cycle that optical fibre vibration sensor collects from data acquisition end and carry out denoising;
Divide two groups by the array X after denoising, and ask for difference △ X;
Described difference array △ X is divided into multiple equal length window array, composition array Y;
Calculate the fourth central distance of the window array in array Y and compare with setting threshold value D, demarcating the superthreshold array Y in described array Y
aj, and by subscript aj typing coordinate array A;
According to the minimum value a in array A
minlocating alarming point, if without superthreshold array, repeats above-mentioned steps and carries out lower whorl identification;
Wherein, the arrangement mode of described raw data is consistent with described optical fibre vibration sensor sampled point arrangement mode, answers the coordinate of sampled point described in the subscript of described window array is; The coordinate of described sampled point characterizes described sampled point position light path in a fiber.
Further, the data length of described raw data each cycle is L, composition matrix array X:
Wherein, each recurrence interval gathers frame data, gathers 2N frame altogether.
Further, average denoising mode is adopted to carry out denoising to described matrix array X;
Wherein, described matrix array X front N frame data and rear N frame data are set to respectively independent array and carry out the average denoising of independence, obtain two frame number group X
nwith array X
2N; By described array X
nwith array X
2Ndifference is asked to obtain array △ X:
[△X(1),△X(2),△X(3),...,△X(L-1),△X(L)]。
Further, described array Y comprises multiple continuous equal length window array, and described window array is chosen by following rule;
Y
1＝[△X(1),△X(2),...,△X(n)]
Y
2＝[△X(2),△X(3),...,△X(n+1)]
...
Y
L-n+1＝[△X(L-n+1),△X(L-n+2),...,△X(L)]
Wherein, n is greater than the natural number that 0 is less than L.
Further, described fourth central is apart from being:
Z＝[z
1,z
2,...,z
L-n+1]
Wherein,
k＝1,2,…,L-n+1。
Further, according to the minimum value a in array A
minlocating alarming point; Pass through formula:
Wherein, wherein, τ is the time interval between each sampled point, and ν is light velocity of propagation in a fiber.
Further, described algorithm also comprises: ring width I controls and ringing number I controls;
Described ringing number I characterizes the physical length of array A, i.e. the number of superthreshold window array; Take turns in identifying operation process at each, at most a record superthreshold array;
Do not find superthreshold array when epicycle identification or occur a superthreshold array and after typing superthreshold array index, enter next round identification;
Described ring width J characterizes the wheel number carrying out invasive biology;
And be only more than or equal to setting value I at the number i of the superthreshold array of actual typing, and when the discussion j carrying out invasive biology equals setting value J, according to the minimum value a in array A
minlocating alarming point;
Wherein, the setting value of described ring width J is more than or equal to the setting value of ringing number I.
The one or more technical schemes provided in the embodiment of the present application, at least have following technique effect or advantage:
What 1, the embodiment of the present invention provided on average obtains two frame data based on POTDR fiber optic intrusion recognizer by the packet gathering multiple cycle, effectively prevent the impact of disturbance on sensor data acquisition, the impact that data contingency fluctuates is made to drop to minimum, the systematic error of sensor can be reduced simultaneously, as device thermonoise impact etc., greatly improve the reliability of detection data.
What 2, the embodiment of the present invention provided also divides into groups to arrange window array by the data after packeting average denoising being got difference based on POTDR fiber optic intrusion recognizer on this basis, the noise profile state within the scope of window area is characterized with this, avoid in prior art and get the contingency defect of difference as warning recognizer by two frame data, thus promoted the reliability of alarm decision by the many data modes in window ranges.
What what 3, the embodiment of the present invention provided improved window array based on POTDR fiber optic intrusion recognizer on the basis of window array arranges rule, multiple equal length window array is set, the direction of propagation along pulsed optical signals advances, the window ranges part of simultaneously adjacent window array covers, utilize the characteristic of noise profile Normal Distribution, find out between invasion point location, clearly find out its window array be in by the calculating of fourth central distance, greatly improve the positioning precision of warning message;
4, the embodiment of the present invention provide based on POTDR fiber optic intrusion recognizer by fourth central apart from setting the comparing of threshold value, accurately obtain all window arrays meeting alert if, with minimum subscript a
minfor invasion point is found out in reference, namely with in prior art, under the sample point coordinate corresponding data of sensor-based system, target is characterized as basis, determines greatly to improve positioning precision in the place that disturbance occurs the earliest; In sum, by multicycle data acquisition, average denoising, reduces disturbance of data and contingency fluctuation, promotes the reliability of data acquisition, by the setting of window array; Arranged by window array and the calculating of fourth central distance and minimum subscript location, promote the precision of accuracy that the identification of invasion information judges and warning message location.
5, wrong report risk can be reduced further by ring width J and ringing number I control procedure, promote positioning precision further simultaneously, greatly improve the efficiency of invasive biology algorithm.
Accompanying drawing explanation
The schematic flow sheet based on POTDR fiber optic intrusion recognizer that Fig. 1 provides for the embodiment of the present invention;
Fig. 2 for the embodiment of the present invention provide based on POTDR fiber optic intrusion recognizer conditional curve figure.
Embodiment
The present embodiment provides a kind of based on POTDR fiber optic intrusion recognizer, and solve in prior art, Signal-to-Noise is too low, and invasive biology rate of false alarm is high, the problem that alarm reliability is low and positioning precision is not high.Achieve and promote invasion recognition efficiency, promote the technique effect of health care reliability and positioning precision.
For solving the problems of the technologies described above, the embodiment of the present application provides the general thought of technical scheme as follows:
A kind of based on POTDR fiber optic intrusion recognizer, comprising:
Read the raw data in 2N the cycle that optical fibre vibration sensor collects from data acquisition end and carry out denoising;
Divide two groups by the array X after denoising, and ask for difference △ X;
Described difference array △ X is divided into multiple equal length window array, composition array Y;
Calculate the fourth central distance of the window array in array Y and compare with setting threshold value D, demarcating the superthreshold array Y in described array Y
aj, and by subscript aj typing coordinate array A;
According to the minimum value a in array A
minlocating alarming point, if without superthreshold array, repeats above-mentioned steps and carries out lower whorl identification;
Wherein, the arrangement mode of described raw data is consistent with described optical fibre vibration sensor sampled point arrangement mode, and the subscript of described window array is the coordinate of described sampled point; The coordinate of described sampled point characterizes sampled point position light path in a fiber.
Can be found out by foregoing, above-mentioned algorithm is by the denoising that the image data in 2N sampling period is averaged, and by random perturbation, the impacts of factor on sampled data such as contingency data fluctuations drop to minimum, promotes the reliability of raw data, difference is asked to obtain difference array △ X by grouping afterwards, in difference array △ X, along data ordering direction, difference array is divided into multiple window array Y isometric continuously by the mode intercepted by segmentation, and adjacent window apertures array partial data is identical, according to the principle of noise Normal Distribution, by the fourth central that calculates each window array apart from just can the noise states of each window array of accurate response, also the impact that the data variation in window array causes directly is reflected, when there is not invasion signal, the fourth central of the window array of arranging successively is not obvious or under a ultimate value apart from change, when there is invasion signal, the fourth central of place window array apart from the fourth central relative to preceding window array apart from change obviously, thus can judge to exist significantly to invade signal, also can accurately demarcate concrete furnace-incoming coal information simultaneously.Relative in prior art, the mode of the simple invasion information of the difference reflects by two frame data and location, the algorithm that the present embodiment provides possesses higher reliability and positioning precision.
In order to better understand technique scheme, below in conjunction with Figure of description and concrete embodiment, technique scheme is described in detail, the specific features being to be understood that in the utility model embodiment and embodiment is the detailed description to technical scheme, instead of the restriction to technical scheme, when not conflicting, the technical characteristic in the embodiment of the present application and embodiment can combine mutually.
See Fig. 1, the one that the embodiment of the present invention provides, based on POTDR fiber optic intrusion recognizer, comprising:
Read the raw data in 2N the cycle that optical fibre vibration sensor collects from data acquisition end and carry out denoising; The data length of raw data each cycle is L, composition matrix array X:
Wherein, each recurrence interval gathers frame data, gathers 2N frame altogether, arranges from top to bottom form matrix array according to acquisition order.
In normal acquisition process, usually there will be some data of all kinds of disturbing influence, under the prerequisite of admitting disturbance randomness, fully can reduce the impact of disturbance on overall data by multiple repairing weld, the reliability of data can be promoted by average denoising.
In prior art, by being carried out asking difference operation by two frame data, react whether there is invasion with the magnitude relationship of difference and predetermined threshold value, thus randomness is comparatively large, and wrong report risk is very high.
In the present embodiment, divide two groups by the array X after denoising, and ask for difference △ X; The front N frame data of matrix array X and rear N frame data are set to independent array respectively and carry out the average denoising of independence, obtain two frame number group X
nwith array X
2N; By described array X
nwith array X
2Ndifference is asked to obtain array △ X:
[△X(1),△X(2),△X(3),...,△X(L-1),△X(L)]。
Meanwhile, difference array △ X is divided into multiple equal length window array, composition array Y; Along data ordering direction, difference array △ X is divided into multiple window array Y isometric continuously by the mode intercepted by segmentation, and adjacent window apertures array partial data is identical, and namely window array is chosen by following rule:
Y
1＝[△X(1),△X(2),...,△X(n)]
Y
2＝[△X(2),△X(3),...,△X(n+1)]
...
Y
L-n+1＝[△X(L-n+1),△X(L-n+2),...,△X(L)]
Wherein, n is greater than the natural number that 0 is less than L; Identical with in front array major part data in rear array in adjacent window apertures array, has more a new data in rear array; And the subscript of window array is just in time consistent with the coordinate of sampled point.The direction of propagation along pulsed optical signals advances, the window ranges part of simultaneously adjacent window array covers, utilize the characteristic of noise profile Normal Distribution, find out between invasion point location, clearly find out its window array be in by the calculating of fourth central distance, greatly improve the positioning precision of warning message.Window number group reaction be noise profile state within the scope of one, when the data division of continuous window array is identical, if there is the change of larger noise mode, namely can judge in posterior window array, to there is invasion signal, thus realize reporting to the police.
Calculate the fourth central distance of the window array in array Y and compare with setting threshold value D, demarcating the superthreshold array Y in array Y
aj, and by subscript aj typing coordinate array A; Fourth central is apart from being:
Z＝[z
1,z
2,...,z
L-n+1]
Wherein,
k＝1,2,…,L-n+1。
According to the minimum value a in array A
minlocating alarming point, if without superthreshold array, repeats above-mentioned steps and carries out lower whorl identification; According to the minimum value a in array A
minlocating alarming point; Pass through formula:
Wherein, wherein, τ is the time interval between each sampled point, and ν is light velocity of propagation in a fiber; The arrangement mode of raw data is consistent with optical fibre vibration sensor sampled point arrangement mode, and the subscript of window array is the coordinate of sampled point; The coordinate of sampled point characterizes sampling point position light path in a fiber; Thus directly can obtain the more specific location information as front point by above-mentioned formula, realize accurately locating.
See Fig. 1, in order to strengthen reliability and the Position location accuracy of invasive biology further, shake bell recognition round-robin algorithm being set, namely ring width J and ringing number I being set and characterizing superthreshold array respectively and judge number of times and superthreshold array number, from carrying out flow management and control, realizing automatic cycle and performing.
Its concrete algorithmic rule is as follows: described ringing number I characterizes the physical length of array A, i.e. the number of superthreshold window array; Take turns in identifying operation process at each, at most a record superthreshold array;
Do not find superthreshold array when epicycle identification or occur a superthreshold array and after typing superthreshold array index, enter next round identification.
Described ring width J characterizes the wheel number carrying out invasive biology;
And be only more than or equal to setting value I at the number i of the superthreshold array of actual typing, and when the discussion j carrying out invasive biology equals setting value J, according to the minimum value a in array A
minlocating alarming point.
Wherein, the setting value of described ring width J is more than or equal to the setting value of ringing number I.
Can obviously be found out by above-mentioned algorithm, concrete warning locating rule is:
In invasive biology process, first screening and the location of superthreshold array is completed, and locating information is recorded in array A, this process comprises two results, namely there is superthreshold window array, thus can locate a sampling alarm set point, ringing number i adds 1, or do not find superthreshold window array, locating information of not reporting to the police, ringing number i is constant; This takes turns invasive biology and terminates, and the counting of ring width j adds 1.Repeat aforesaid operations and carry out next round identification, until ring width j is increased to setting value J, namely carry out j and take turns invasive biology process, complete whole invasive biology algorithm flow, now have two results: ringing number i is more than or equal to setting value I, namely have found the superthreshold window array exceeding setting requested number, alarm set point quantity of now sampling meets warning requirement, can alarm operation be performed, and perform by minimum subscript ranging formula location of reporting to the police; Or ringing number i is less than setting value I, the quantity of alarm set point of namely sampling is very few, can think that contingency risk is too high, is not suitable for reporting to the police, and gets rid of intrusion risk; Remove the real-time counting of ring width j and ringing number i simultaneously, complete this algorithm flow.
Invasive biology process is expanded to multiple continuous recognition cycle by ring width J control and ringing number I control algolithm, namely carry out many wheels to identify continuously, can avoid in single-wheel identification, having had the data instantaneous variation that can occur to cause wrong report on the one hand, this risk can being reduced by taking turns continuous invasive biology more, promoting the reliability of invasive biology; On the other hand, expanding the sampling scope of superthreshold window array by taking turns continuous invasive biology more, coordinating minimum value location algorithm further to enhance positioning precision.
See Fig. 2, the data procedures curve of this algorithm, figure A and figure B is the data and curves of front N frame and rear N frame respectively, and carry out the collection of illustrative plates of alarm decision in figure C prior art, as seen in threshold range, the reliability that disturbance is much reported to the police is not high; Figure D is the invasive biology curve being calculated fourth central distance by window array, and visible alarm reliability is obviously higher.In rig-site utilization, arranging of threshold value D is determined according to actual conditions.
The one or more technical schemes provided in the embodiment of the present application, at least have following technique effect or advantage:
What 1, the embodiment of the present invention provided on average obtains two frame data based on POTDR fiber optic intrusion recognizer by the packet gathering multiple cycle, effectively prevent the impact of disturbance on sensor data acquisition, the impact that data contingency fluctuates is made to drop to minimum, the systematic error of sensor can be reduced simultaneously, as device thermonoise impact etc., greatly improve the reliability of detection data.
What 2, the embodiment of the present invention provided also divides into groups to arrange window array by the data after packeting average denoising being got difference based on POTDR fiber optic intrusion recognizer on this basis, the noise profile state within the scope of window area is characterized with this, avoid in prior art and get the contingency defect of difference as warning recognizer by two frame data, thus promoted the reliability of alarm decision by the many data modes in window ranges.
What what 3, the embodiment of the present invention provided improved window array based on POTDR fiber optic intrusion recognizer on the basis of window array arranges rule, multiple equal length window array is set, the direction of propagation along pulsed optical signals advances, the window ranges part of simultaneously adjacent window array covers, utilize the characteristic of noise profile Normal Distribution, find out between invasion point location, clearly find out its window array be in by the calculating of fourth central distance, greatly improve the positioning precision of warning message;
4, the embodiment of the present invention provide based on POTDR fiber optic intrusion recognizer by fourth central apart from setting the comparing of threshold value, accurately obtain all window arrays meeting alert if, with minimum subscript a
minfor invasion point is found out in reference, namely with in prior art, under the sample point coordinate corresponding data of sensor-based system, target is characterized as basis, determines greatly to improve positioning precision in the place that disturbance occurs the earliest; In sum, by multicycle data acquisition, average denoising, reduces disturbance of data and contingency fluctuation, promotes the reliability of data acquisition, by the setting of window array; Arranged by window array and the calculating of fourth central distance and minimum subscript location, promote the precision of accuracy that the identification of invasion information judges and warning message location.
5, wrong report risk can be reduced further by ring width J and ringing number I control procedure, promote positioning precision further simultaneously, greatly improve the efficiency of invasive biology algorithm.
It should be noted last that, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to example to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not departing from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of right of the present invention.
Claims (7)
1., based on a POTDR fiber optic intrusion recognizer, it is characterized in that, comprising:
Read the raw data in 2N the cycle that optical fibre vibration sensor collects from data acquisition end and carry out denoising;
Divide two groups by the array X after denoising, and ask for difference DELTA X;
Described difference array Δ X is divided into multiple equal length window array, composition array Y;
Calculate the fourth central distance of the window array in array Y and compare with setting threshold value D, demarcating the superthreshold array Y in described array Y
aj, and by subscript aj typing coordinate array A;
According to the minimum value a in array A
minlocating alarming point, if without superthreshold array, repeats above-mentioned steps and carries out lower whorl identification;
Wherein, the arrangement mode of described raw data is consistent with described optical fibre vibration sensor sampled point arrangement mode, answers the coordinate of sampled point described in the subscript of described window array is; The coordinate of described sampled point characterizes described sampled point position light path in a fiber.
2. as claimed in claim 1 based on POTDR fiber optic intrusion recognizer, it is characterized in that: the data length of described raw data each cycle is L, composition matrix array X:
Wherein, each recurrence interval gathers frame data, gathers 2N frame altogether.
3. as claimed in claim 1 based on POTDR fiber optic intrusion recognizer, it is characterized in that: adopt average denoising mode to carry out denoising to described matrix array X;
Wherein, described matrix array X front N frame data and rear N frame data are set to respectively independent array and carry out the average denoising of independence, obtain two frame number group X
nwith array X
2N; By described array X
nwith array X
2Ndifference is asked to obtain array Δ X:
[ΔX(1),ΔX(2),ΔX(3),…,ΔX(L-1),ΔX(L)]。
4. as claimed in claim 1 based on POTDR fiber optic intrusion recognizer, it is characterized in that: described array Y comprises multiple continuous equal length window array, and described window array is chosen by following rule;
Y
1＝[ΔX(1),ΔX(2),...,ΔX(n)]
Y
2＝[ΔX(2),ΔX(3),...,ΔX(n+1)]
...
Y
L-n+1＝[ΔX(L-n+1),ΔX(L-n+2),...,ΔX(L)]
Wherein, n is greater than the natural number that 0 is less than L.
5. as claimed in claim 1 based on POTDR fiber optic intrusion recognizer, it is characterized in that: described fourth central is apart from being:
Z＝[z
1,z
2,...,z
L-n+1]
Wherein,
k＝1,2,…,L-n+1。
6. as described in any one of Claims 1 to 5 based on POTDR fiber optic intrusion recognizer, it is characterized in that: according to the minimum value a in array A
minlocating alarming point; Pass through formula:
Wherein, τ is the time interval between each sampled point, and ν is light velocity of propagation in a fiber.
7. as claimed in claim 1 based on POTDR fiber optic intrusion recognizer, it is characterized in that, also comprise: ring width I controls and ringing number I controls;
Described ringing number I characterizes the physical length of array A, i.e. the number of superthreshold window array; Take turns in identifying operation process at each, at most a record superthreshold array;
Do not find superthreshold array when epicycle identification or occur a superthreshold array and after typing superthreshold array index, enter next round identification;
Described ring width J characterizes the wheel number carrying out invasive biology;
And be only more than or equal to setting value I at the number i of the superthreshold array of actual typing, and when the discussion j carrying out invasive biology equals setting value J, according to the minimum value a in array A
minlocating alarming point;
Wherein, the setting value of described ring width J is more than or equal to the setting value of ringing number I.
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| CN105469523A (en) * | 2015-12-30 | 2016-04-06 | 杭州安远科技有限公司 | Wind and rain interference resistant optical fiber perimeter protection method |
| CN105575024A (en) * | 2015-12-30 | 2016-05-11 | 杭州安远科技有限公司 | Anti-interference optical fiber perimeter protection system and method |
| CN105843779A (en) * | 2016-06-07 | 2016-08-10 | 华中科技大学 | Real-time noise elimination method oriented to POTDR opposite scattered light signals |
| CN106123930A (en) * | 2016-06-12 | 2016-11-16 | 武汉世纪金桥安全技术有限公司 | The disconnected fine localization method of a kind of distributed optical fiber sensing system and device |
| CN110570613A (en) * | 2019-09-18 | 2019-12-13 | 广州亓行智能科技有限公司 | Fence vibration intrusion positioning and mode identification method based on distributed optical fiber system |
| CN113408560A (en) * | 2020-03-17 | 2021-09-17 | 联合汽车电子有限公司 | Engine test data classification method, electronic device and readable storage medium |
| CN113993001A (en) * | 2021-09-08 | 2022-01-28 | 四创电子股份有限公司 | Real-time streaming analysis alarm method based on sliding data window |
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