CN110045390A - A kind of optical-fiber laser radar train recognition methods based on energy spectral factorization - Google Patents
A kind of optical-fiber laser radar train recognition methods based on energy spectral factorization Download PDFInfo
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- CN110045390A CN110045390A CN201910433754.9A CN201910433754A CN110045390A CN 110045390 A CN110045390 A CN 110045390A CN 201910433754 A CN201910433754 A CN 201910433754A CN 110045390 A CN110045390 A CN 110045390A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
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Abstract
The optical-fiber laser radar train recognition methods based on energy spectral factorization that the invention discloses a kind of, is related to railway security early warning technology field.The present invention includes: first, acquisition signals of vehicles, is arranged optical-fiber laser radar sensor-based system according to the communication cable arranged on railway, passes through system acquisition signals of vehicles；Second, establishing initial basis system；Third, identifying whether there is vehicle；Identify that vehicle is lorry or car again；Optical-fiber laser radar sensor-based system, including super-narrow line width laser, AOM acousto-optic modulator, EDFA erbium-doped fiber amplifier, frequency shifter, Optical circulator and coherent demodulation module.The present invention realizes the real-time monitoring to train position and speed by train recognition methods and the effect of optical-fiber laser radar sensor-based system, has the advantages that effectively to have ensured Railroad Communication System safety.
Description
Technical field
The invention belongs to railway security early warning technology fields, more particularly to a kind of optical-fiber laser based on energy spectral factorization
Radar train recognition methods.
Background technique
With the development of economy, railway transportation has been achieved for significant progress, and the status communicated in railway transportation is cured
Hair highlights.The progress of science and technology is not so that railway communication is problem already, however but there is transmission for Railway Communication optical fiber itself
The problem of safety.Optical fiber sensing technology relies on the function of a series of advantage and multi-parameter monitoring, monitors field in railway systems
It has been widely used.Therefore, it is also of great significance for the research of Along Railway optical cable safety problem itself.
The country is existing to be had with patent document similar in train information recognition methods of the invention and systematic comparison: its
In, first part of patent name is " device of distinguishing passenger train from goods train by betwene-carriage gap counting method ", application No. is
CN02117867.4 is authorized, notification number CN1164449C on September 1st, 2004.Distinguishing passenger train from goods train by betwene-carriage gap counting method
Device, it is characterised in that: it with two wheel passive magnetic sensor determination compartment total lengths to be counted, with loaded on them it
Between photoelectric sensor dynamically detect the gap number between compartment, in addition between locomotive and first segment compartment for car
Gap is outside first pulse, and since car is connection, detection light cannot pass through, then gapless pulse output；Boxcar
Between have about half meter of gap, thus in the compartment total length that above-mentioned two Magnetic Sensor determines, the gap pulse measured is greater than
Or may recognize that lorry when equal to preset gap number threshold value, it is on the contrary then be car, and count starting and terminate then by
The wheel arriving signal that above-mentioned two Magnetic Sensor issues determines.
Wherein, second part of patent name is " method and its system of distinguishing passenger train from goods train by between-wheel spacing method ", application number
For CN02117863.1, authorization on May 26th, 2004, notification number CN 1151045C.Between-wheel spacing method identifies passenger train lorry
Method and its system, it is characterised in that: it is greater than the spacing of lorry one group of wheel according to the spacing of one group of wheel of car
Reason is entered a country direction using along train, on any rail of detection faces side, two installation centers setting gradually away from etc.
In rake of wagons wheel center away from wheel spacing identification Magnetic Sensor, start identification signal for shielding locomotive and issuing
Locomotive shields Magnetic Sensor, " arrival " Magnetic Sensor for reaching for measuring locomotive and issuing termination identification, reading recognition result
Totally four sensors judge: reaching if two wheel spacing identifications respectively receive a wheel in synchronization with Magnetic Sensor
Pulse, then can determine that as lorry, be otherwise just car.
Wherein, third part patent name is " train information automatic recognition method and system ", application No. is
CN200710304376.1, authorization on March 23rd, 2011, notification number CN101468651B.Train information automatic identification side
Method and system, it is characterised in that: mainly pass through their fire by the wheel detector measurement traveling being mounted in railway line
Then the speed and wheelbase information of vehicle carries out real-time analysis processing to the speed of acquisition and wheelbase information data, provide and cross
The much information of one train of vehicles
In railway actual moving process, also vulnerable to environmental influences such as weather, camera can not be to information of vehicles
It is accurately identified, it is therefore desirable to which one kind can be under the bad weather circumstances such as sleet, dense fog, the reliable work of the system of normal work
Make, safeguards the safe operation of railway entirety.Based on the distributed fiberoptic sensor of optical-fiber laser radar, the light of Along Railway is utilized
Cable acquires train vibration information in real time, while can be positioned in real time to the train position in monitoring section, not by day
The influence of gas bar part, reliability with higher.
In actual production and life, accurately identification vehicle has substantive meaning, accurately identifies that rolling stock can
To guarantee train operating safety, rail transportation efficiency is effectively improved, transportation cost is reduced, substantially improves the labour item of driving personnel
Part；Therefore can achieve it is efficient organize and direct train operation, guarantee traffic safety, improve conevying efficiency, transmitting driving letter
Breath improves driving personnel's working condition, and the maximized economic benefit of acquirement etc..
Summary of the invention
The optical-fiber laser radar train recognition methods based on energy spectral factorization that the purpose of the present invention is to provide a kind of, passes through
The real-time monitoring to train position and speed is realized in train recognition methods and the effect of optical-fiber laser radar sensor-based system, is led to
It crosses fiber Rayleigh scattering and phase demodulating principle realizes the detection of the track event of third party's construction nearby, solve railway communication and deposit
The security risk the problem of, a possibility that effectively reducing railway interruption of optical cables caused by depositing in the construction process, effectively protect
The safety of Railroad Communication System is hindered.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions:
The present invention is a kind of optical-fiber laser radar train recognition methods based on energy spectral factorization, comprising:
First, acquisition signals of vehicles；
Optical-fiber laser radar sensor-based system is set according to the communication cable arranged on railway, passes through distributed vibration sensor
Acquire signals of vehicles；
Second, establishing initial basis system；
A sinusoidal signal is first given, then T every to the sinusoidal signal0S does FFT or power spectral transformation, to it plus recycles,
Obtain dynamical output waveform；Obtain the peak A of output waveform0(peak) and transverse and longitudinal coordinate (width N0), threshold value (A is setN>A0)
And width (N2<N0<N1)；
The effect of the step is that laboratory can directly input to test the standard signal done emulation in truth
Train signal (train signal is that a narrow band signal is superimposed some sine waves)；
Third, identifying whether there is vehicle；
The signals of vehicles of acquisition is converted into sinusoidal signal to be input in basic system；Instead of the sine of initial basis system
Signal obtains the peak A of output waveformN(peak) and transverse and longitudinal coordinate Nn(width), peak value (peak) quantity I；
By above-mentioned peak AN(peak) and transverse and longitudinal coordinate Nn(width), the threshold value of peak value (peak) quantity I and initial setting up
It is compared and judges whether there is vehicle.
Further, whether the multilevel iudge has the method for vehicle to include:
Suitable threshold value (threshold value that the threshold value is greater than the noise of external interference) and width are set first to judge the signal
In whether contain peak AN(peak)；
If AN>I0；
Then there is train to pass through；
If AN<I0
Then pass through without train；
Wherein, I0For the parameter for judging whether there is train after removing external interference；Parameter I0It represents in special frequency band
The peak threshold of FFT signal has vehicle to pass through more than the threshold value identification, lower than then thinking not having.
Further, it is lorry or car that the train recognition methods, which further includes identification vehicle,；
Suitable threshold value and width are set first to judge whether contain peak value (peak) and peak value in the signal
(peak) quantity I；
If I > I1；
Then explanation is lorry by vehicle；
If I < I1
Then explanation is car by vehicle；
Wherein, I1For the parameter of difference lorry or car；Parameter I1It is to discriminate between a parameter of car and lorry；It is practical
It is a count value, it is possible to understand that at gate time length, because the lorry duration is longer, the corresponding peak after being FFT
The number of appearance is also more.
Further, the optical-fiber laser radar sensor-based system, including super-narrow line width laser, AOM acousto-optic modulator,
EDFA erbium-doped fiber amplifier, frequency shifter, Optical circulator and coherent demodulation module；
The coherent demodulation module carries out difference detecting to signal light and laser local oscillator light using double balanced detectors, leads to
Cross demodulation of the high-speed data acquisition card realization to vibration signal；
Wherein, the continuous light wave of the continuous narrow linewidth laser output is through acousto-optic modulator (AOM) modulation conversion at arteries and veins
It washes off；
Wherein, the pulsed light carries out power amplification by erbium-doped fiber amplifier (EDFA), is injected into biography through circulator
In photosensitive fibre, and generate scattering light；
Wherein, the scattering light is inversely propagated along sensor fibre is received through circulator by balance photodetector (BPD), and
Light intensity signal is acquired by capture card, then host computer is transferred to handle；
The optical-fiber laser radar sensor-based system uses heterodyne detection mode, and detectable signal is modulated to high frequency megahertz wave
Duan Jinhang detection, improve the interference free performance of system, by heterodyne carry out coherent detection, can make detection sensitivity it is reachable-
100dB；
The working principle of the optical-fiber laser radar sensor-based system is:
The heterodyne coherent detection system of Φ-OTDR is mainly made of following components, NLL (Narrow Linewidth
Laser): super-narrow line width laser；AOM (Acousto-Optical Modulator): acousto-optic modulator；EDFA(Erbium
Endorsed Fiber Amplifier): erbium-doped fiber amplifier；PG (Pulse Generator): pulse signal generator；
PC: processor；DAQ (Data Acquisition Card): data collecting card；BPD (Balanced Photodetector):
Balance photodetector；
Entire signals transmission is described below: high relevant narrow-linewidth laser is issued by narrow linewidth laser, by dividing
Beam device is divided into two beams, and respectively as local oscillator light and signal light, signal light enters the acousto-optic modulator modulated by impulse generator,
Burst pulse light beam is generated by acoustooptical effect, subsequently into erbium-doped fiber amplifier, Optical pulse amplification is carried out, improves light pulse
Energy is coupled into sensor fibre, light pulse generates rear to Rayleigh scattering in optical fiber transmission process then by circulator
Optical signal is transmitted back to come along optical fiber, and after circulator, signal light and local oscillator light are concerned with by 2 × 2 couplers, then
It is sent into balance photodetector and carries out photoelectric conversion, the voltage signal of generation is acquired by the data of triggering synchronous with acousto-optic modulator
The acquisition of row data is sticked into, processor is then fed into and carries out data processing and analysis；
By above description it can be found that heterodyne coherent detection introduces local oscillator light, and use the side of balance detection
Method.The advantages of this method is the detectivity of small-signal to be improved, to increase using the effect of the relevant amplification of local oscillator light
The maximum distance of the single amplification of distributing optical fiber sensing；
Optical-fiber laser radar sensor-based system realizes backward Rayleigh scattering light in pulse duration range using super-narrow line width laser
Between interference effect, when along fibre circuit somewhere by outside invading interfere when, the optical fibre refractivity of corresponding position will
It changes, and then light phase at the position is caused to change；Since the variation of interference effect phase can cause rear Xiang Rui again
Sharp scattered light intensity changes, local oscillator light and the signal interference of light returned by optical fiber backscattering, through detector photoelectric conversion,
Enhanced processing；Front and back moment Rayleigh signal curve is subjected to difference operation, interference light intensity signal is changed in difference curves
Position, the then position that corresponding disturbance occurs.
The invention has the following advantages:
1, the present invention is by train recognition methods and the effect of optical-fiber laser radar sensor-based system, so that railroad track
Communications optical cable realizes the real-time monitoring to train position and speed along the line, has precision high, structure is simple, at low cost, operation side
Just；And can on 40 kilometers lengths continuous real-time monitoring shock for train information, and vehicle class is judged.
2, the present invention has the dual function for taking into account sensing and transmission by communications optical cable along railroad track, and passes through
Optical-fiber laser radar sensor-based system positioning principle realizes the position locking of train, and positioning accuracy is up to 100 meters.
3, the present invention has the dual function for taking into account sensing and transmission by communications optical cable along railroad track, and passes through
Fiber Rayleigh scattering and phase demodulating principle realize the detection of the track event of third party's construction nearby, to construction state event location precision
Up to 100 meters.(being not limited to third party's construction, the invasion of artificial and wild animal)
4, the identification of lorry, car may be implemented in the present invention；Different vehicles are extracted by power spectral density, autocorrelative mode
Feature, describe through the invention algorithmic method realize lorry, car differentiation.
5, optical-fiber laser radar sensor-based system of the invention is not charged, has the strong electromagnetic radiation for being applicable to Railway Environment
Advantage in environment.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of flow chart of optical-fiber laser radar train recognition methods based on energy spectral factorization；
Fig. 2 is the system block diagram of optical-fiber laser radar sensor-based system；
Fig. 3 is the Rayleigh scattering original signal figure of 23 kilometers of buried single mode optical fibers；
Fig. 4 is the time domain Waterfall plot that car passes through；
Fig. 5 is the time domain Waterfall plot that lorry passes through；
Original signal figure when Fig. 6 passes through for goods train in the vibration signal of optical fiber；
Time-domain difference signal graph when Fig. 7 passes through for goods train in the vibration signal of optical fiber；
The vibration signal of optical fiber when Fig. 8 passes through for goods train；
Fig. 9 is FFT figure；
Time-domain signal and Short Time Fourier Analysis spectrum when Figure 10 passes through for lorry；
Figure 11 is Heterodyne Detection System block diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
It please refers to shown in Fig. 1-2 and Figure 11, the present invention is a kind of optical-fiber laser radar train knowledge based on energy spectral factorization
Other method, comprising:
First, acquisition signals of vehicles；
Optical-fiber laser radar sensor-based system is set according to the communication cable arranged on railway, passes through distributed vibration sensor
Acquire signals of vehicles；
Second, establishing initial basis system；
A sinusoidal signal is first given, then T every to the sinusoidal signal0S does FFT or power spectral transformation, to it plus recycles,
Obtain dynamical output waveform；Obtain the peak A of output waveform0(peak) and transverse and longitudinal coordinate (width N0), threshold value (A is setN>A0)
And width (N2<N0<N1)；
Third, identifying whether there is vehicle；
The signals of vehicles of acquisition is converted into sinusoidal signal to be input in basic system；Instead of the sine of initial basis system
Signal obtains the peak A of output waveformN(peak) and transverse and longitudinal coordinate Nn(width), peak value (peak) quantity I；
By above-mentioned peak AN(peak) and transverse and longitudinal coordinate Nn(width), the threshold value of peak value (peak) quantity I and initial setting up
It is compared and judges whether there is vehicle.
Preferably, whether multilevel iudge has the method for vehicle to include:
Suitable threshold value (threshold value that the threshold value is greater than the noise of external interference) and width are set first to judge the signal
In whether contain peak AN(peak)；
If AN>I0；
Then there is train to pass through；
If AN<I0
Then pass through without train；
Wherein, I0For the parameter for judging whether there is train after removing external interference；Parameter I0It represents in special frequency band
The peak threshold of FFT signal has vehicle to pass through more than the threshold value identification, lower than then thinking not having；For example, I0It can be in Fig. 9
The value larger than noise, such as 100.
Preferably, it is lorry or car that train recognition methods, which further includes identification vehicle,；
Suitable threshold value and width are set first to judge whether contain peak value (peak) and peak value in the signal
(peak) quantity I；
If I > I1；
Then explanation is lorry by vehicle；
If I < I1
Then explanation is car by vehicle；
Wherein, I1For the parameter of difference lorry or car；Parameter I1It is to discriminate between a parameter of car and lorry；It is practical
It is a count value, it is possible to understand that at gate time length, because the lorry duration is longer, the corresponding peak after being FFT
The number of appearance is also more；Parameter I1General numerical value is 20.
Preferably, optical-fiber laser radar sensor-based system, including super-narrow line width laser, AOM acousto-optic modulator, EDFA er-doped
Fiber amplifier, frequency shifter, Optical circulator and coherent demodulation module；
Coherent demodulation module carries out difference detecting to signal light and laser local oscillator light using double balanced detectors, passes through height
Fast data collecting card realizes the demodulation to vibration signal；
Wherein, the continuous light wave of continuous narrow linewidth laser output is through acousto-optic modulator (AOM) modulation conversion at pulsed light；
Wherein, pulsed light carries out power amplification by erbium-doped fiber amplifier (EDFA), is injected into sense light through circulator
In fibre, and generate scattering light；
Wherein, scattering light is inversely propagated along sensor fibre is received through circulator by balance photodetector (BPD), and by adopting
Truck acquires light intensity signal, then host computer is transferred to handle；
Optical-fiber laser radar sensor-based system use heterodyne detection mode, by detectable signal be modulated to high frequency megahertz wave band into
Row detection, improves the interference free performance of system, carries out coherent detection by heterodyne, can make the reachable -100dB of detection sensitivity；
The working principle of optical-fiber laser radar sensor-based system is:
The working principle of the optical-fiber laser radar sensor-based system is:
The heterodyne coherent detection system of Φ-OTDR is mainly made of following components, NLL (Narrow Linewidth
Laser): super-narrow line width laser；AOM (Acousto-Optical Modulator): acousto-optic modulator；EDFA(Erbium
Endorsed Fiber Amplifier): erbium-doped fiber amplifier；PG (Pulse Generator): pulse signal generator；
PC: processor；DAQ (Data Acquisition Card): data collecting card；BPD (Balanced Photodetector):
Balance photodetector；
Entire signals transmission is described below: high relevant narrow-linewidth laser is issued by narrow linewidth laser, by dividing
Beam device is divided into two beams, and respectively as local oscillator light and signal light, signal light enters the acousto-optic modulator modulated by impulse generator,
Burst pulse light beam is generated by acoustooptical effect, subsequently into erbium-doped fiber amplifier, Optical pulse amplification is carried out, improves light pulse
Energy is coupled into sensor fibre, light pulse generates rear to Rayleigh scattering in optical fiber transmission process then by circulator
Optical signal is transmitted back to come along optical fiber, and after circulator, signal light and local oscillator light are concerned with by 2 × 2 couplers, then
It is sent into balance photodetector and carries out photoelectric conversion, the voltage signal of generation is acquired by the data of triggering synchronous with acousto-optic modulator
The acquisition of row data is sticked into, processor is then fed into and carries out data processing and analysis；
By above description it can be found that heterodyne coherent detection introduces local oscillator light, and use the side of balance detection
Method.The advantages of this method is the detectivity of small-signal to be improved, to increase using the effect of the relevant amplification of local oscillator light
The maximum distance of the single amplification of distributing optical fiber sensing；
Optical-fiber laser radar sensor-based system realizes backward Rayleigh scattering light in pulse duration range using super-narrow line width laser
Between interference effect, when along fibre circuit somewhere by outside invading interfere when, the optical fibre refractivity of corresponding position will
It changes, and then light phase at the position is caused to change；Since the variation of interference effect phase can cause rear Xiang Rui again
Sharp scattered light intensity changes, local oscillator light and the signal interference of light returned by optical fiber backscattering, through detector photoelectric conversion,
Enhanced processing；Front and back moment Rayleigh signal curve is subjected to difference operation, interference light intensity signal is changed in difference curves
Position, the then position that corresponding disturbance occurs.
Wherein as shown in figure 3, monitoring distance is region between two trains (Huainan western station and Huainan Pan Ji stand), optical cable is complete
It is 23 kilometers long.Test point is at 4.5 kilometers of distance initial station.There is no Large Construction place nearby, the data acquisition duration is two
Hour；One Ge Xiachuan highway of collecting location approach, optical cable laying is on bridge.
Wherein as shown in Figure 4, it can be seen that have train signal at about 6.5 kilometers at first stop, amplifying by such as Fig. 5 can be with
Find out the running track of train；Speed can be calculated by the slope of track.
Wherein as shown in figs 6-8, the vibration signal of optical fiber when passing through for goods train, if Fig. 6 is original signal, such as Fig. 7
For time-domain difference signal；Signal is in periodic segments, and cycle length is about 1s；Consider that train speed is about 15m/s, 54km/h,
Corresponding length is 15 meters, suitable with general cargo train car length；So the period should be by the connection vibration between compartment
It is caused.
Wherein as shown in figure 9, by FFT it is found that this kilometer of train signal power magnitude about reaches highest at 2Hz, about
It is 710, ambient noise amplitude is about 2, so Signal to Noise Ratio (SNR)=10lg (710/2) ≈ 24.84dB.
Wherein as shown in Figure 10, the rough length of boxcar joint number information and compartment can be obtained by picture.
When excavator signal detection, wherein being optical-fiber laser radar early warning system collected 1500 as shown in figure 11
The continuous Waterfall plot that big ground vibration signal changes over time along the optical cable of meter Chang Du；It can be seen that in system of distance starting point
At 250 meters, has continuously compared with strong vibration signal, be excavator operation event.
In the description of this specification, the description of reference term " one embodiment ", " example ", " specific example " etc. means
Particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one implementation of the invention
In example or example.In the present specification, schematic expression of the above terms may not refer to the same embodiment or example.
Moreover, particular features, structures, materials, or characteristics described can be in any one or more of the embodiments or examples to close
Suitable mode combines.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention
Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (4)
1. a kind of optical-fiber laser radar train recognition methods based on energy spectral factorization characterized by comprising
First, acquisition signals of vehicles；
Optical-fiber laser radar sensor-based system is set according to the communication cable arranged on railway, passes through optical-fiber laser radar sensor-based system
Acquire signals of vehicles；
Second, establishing initial basis system；
A sinusoidal signal is first given, then T every to the sinusoidal signal0S does FFT or power spectral transformation, to itself plus circulation, obtains
Dynamical output waveform；Obtain the peak A of output waveform0(peak) and transverse and longitudinal coordinate (width N0), threshold value (A is setN>A0) and it is wide
Spend (N2<N0<N1)；
Third, identifying whether there is vehicle；
The signals of vehicles of acquisition is converted into sinusoidal signal to be input in basic system；Instead of the sinusoidal signal of initial basis system
Obtain the peak A of output waveformN(peak) and transverse and longitudinal coordinate Nn(width), peak value (peak) quantity I；
By above-mentioned peak AN(peak) and transverse and longitudinal coordinate NnThe threshold value of (width), peak value (peak) quantity I and initial setting up carries out
Whether multilevel iudge has vehicle.
2. train recognition methods as described in claim 1, which is characterized in that whether the multilevel iudge has the method packet of vehicle
It includes:
Suitable threshold value (threshold value that the threshold value is greater than the noise of external interference) and width are set first to judge to be in the signal
It is no to contain peak AN(peak)；
If AN>I0；
Then there is train to pass through；
If AN<I0
Then pass through without train；
Wherein, I0For the parameter for judging whether there is train after removing external interference, parameter I0The FFT in special frequency band is represented to believe
Number peak threshold.
3. train recognition methods as described in claim 1, which is characterized in that further include identifying that vehicle is lorry or car；
Whether suitable threshold value and width are set first to judge in the signal containing peak value (peak) and peak value (peak) number
Measure I；
If I > I1；
Then explanation is lorry by vehicle；
If I < I1
Then explanation is car by vehicle；
Wherein, I1For the parameter of difference lorry or car.
4. train recognition methods as described in claim 1, which is characterized in that the optical-fiber laser radar sensor-based system, including
Super-narrow line width laser, AOM acousto-optic modulator, EDFA erbium-doped fiber amplifier, frequency shifter, Optical circulator and coherent demodulation mould
Block；
The coherent demodulation module carries out difference detecting to signal light and laser local oscillator light using double balanced detectors, passes through height
Fast data collecting card realizes the demodulation to vibration signal；
Wherein, the continuous light wave of the continuous narrow linewidth laser output is through acousto-optic modulator (AOM) modulation conversion at pulsed light；
Wherein, the pulsed light carries out power amplification by erbium-doped fiber amplifier (EDFA), is injected into sense light through circulator
In fibre, and generate scattering light；
Wherein, the scattering light is inversely propagated along sensor fibre is received through circulator by balance photodetector (BPD), and by adopting
Truck acquires light intensity signal, then host computer is transferred to handle.
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| CN113076838A (en) * | 2021-03-25 | 2021-07-06 | 中国铁路北京局集团有限公司北京科学技术研究所 | Method, system, equipment and storage medium for identifying marshalling sequence of railway container station box numbers |
| CN115657050A (en) * | 2022-11-08 | 2023-01-31 | 上海海事大学 | Automatic railway container yard train positioning method based on laser radar |
| CN118172938A (en) * | 2024-05-14 | 2024-06-11 | 山东大学 | Vehicle trajectory full-course tracking method based on distributed optical fiber and laser radar |
| CN115657050B (en) * | 2022-11-08 | 2025-03-25 | 上海海事大学 | An automated railway container yard train positioning method based on laser radar |
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2019
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113076838A (en) * | 2021-03-25 | 2021-07-06 | 中国铁路北京局集团有限公司北京科学技术研究所 | Method, system, equipment and storage medium for identifying marshalling sequence of railway container station box numbers |
| CN115657050A (en) * | 2022-11-08 | 2023-01-31 | 上海海事大学 | Automatic railway container yard train positioning method based on laser radar |
| CN115657050B (en) * | 2022-11-08 | 2025-03-25 | 上海海事大学 | An automated railway container yard train positioning method based on laser radar |
| CN118172938A (en) * | 2024-05-14 | 2024-06-11 | 山东大学 | Vehicle trajectory full-course tracking method based on distributed optical fiber and laser radar |
| CN118172938B (en) * | 2024-05-14 | 2024-07-23 | 山东大学 | Vehicle trajectory full-course tracking method based on distributed optical fiber and laser radar |
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Application publication date: 20190723 |