CN106483867A - There is system processor, system and method for work in imitative nuclear signal - Google Patents

There is system processor, system and method for work in imitative nuclear signal Download PDF

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CN106483867A
CN106483867A CN201510535898.7A CN201510535898A CN106483867A CN 106483867 A CN106483867 A CN 106483867A CN 201510535898 A CN201510535898 A CN 201510535898A CN 106483867 A CN106483867 A CN 106483867A
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spectrum curve
nuclear
data
random number
curve
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CN106483867B (en
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易良碧
余国刚
王礼
涂小芳
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Shanghai Yarui Juebu Electronic Technology Co.,Ltd.
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Abstract

The present invention relates to a kind of imitative nuclear signal occurs system processor, system and method for work, present processor includes:Spectrum curve image data acquisition unit connected with spectrum curve image data acquiring unit;The spectrum curve image data acquisition unit is suitable to send the actual spectrum curve view data for obtaining to random number generation unit, and obtains simulation spectrum curve to export by random number generation unit.The present invention is by carrying out Curves Recognition to actual nuclear spectrum curve map and spectrum curve quantizing, so as to obtain the numerical value (i.e. the counting rate of the energy level of nuclear spectrum and each energy level) of spectrum curve each point, again by this group numerical value of the random direct sampling of DSMC to obtain the random number with regard to each nuclear level, so as to simulate the randomness of nuclear decay process, finally carry out statistical disposition again to obtain simulating spectrum curve to the random number, the reliability of system and accuracy occur with actual spectrum curve to determine imitative nuclear signal by inverting comparative simulation spectrum curve.

Description

There is system processor, system and method for work in imitative nuclear signal
Technical field
The present invention relates to a kind of nuclear energy field, there is system processor, be in more particularly to a kind of imitative nuclear signal System and method of work.
Background technology
Nuclear decay process is random generation in time, and decay process release ray (energy) is also random , the analysis but time interval which is occurred and energy value take statistics, can learn that nuclear decay process has following Characteristic:Approximate obedience exponential distribution in the time interval that nuclear decay occurs;Nuclear decay process externally discharges The approximate Gaussian distributed of energy (i.e. power spectrum).
Above characteristic is had based on nuclear decay process, the imitative nuclear signal of traditional approach occur system be to obey not Random number with distribution simulating nuclear signal feature, i.e., with obey exponential distribution random number simulation nuclear signal when Between interval statistical characteristic;Statistical property of the nuclear signal in amplitude is simulated with random numbers of Gaussian distribution.But only with The random number of Gaussian distributed is simulated to simulate statistical property of the nuclear signal in amplitude be inapt To high phase distribution curve and actual spectrum curve there is larger error, it is impossible to reflection nuclear signal exactly Characteristic;At the same time, the power spectrum statistical property of each nucleic is not quite similar, therefore the width to variety classes nucleic Degree simulated behavior then need produce different parameters random numbers of Gaussian distribution matching, this is unpractiaca, It is difficult in the operating process of border.
In view of traditional imitative nuclear signal occurs a variety of drawbacks that system is present, set forth herein a kind of brand-new Method is in order to solve problem above.
Content of the invention
It is an object of the invention to provide there is system processor in a kind of imitative nuclear signal, to realize to nuclear energy spectral line Emulated.
In order to solve above-mentioned technical problem, the invention provides there is system processor in a kind of imitative nuclear signal, Including:Spectrum curve image data acquisition unit connected with spectrum curve image data acquiring unit;Described Spectrum curve image data acquisition unit is suitable to send the actual spectrum curve view data for obtaining to random number Generating unit, and simulation spectrum curve is obtained to export by random number generation unit.
Further, the spectrum curve image data acquisition unit includes:At display controller, curve data Reason module data storage control module;The spectrum curve image data acquiring unit includes:Camera, Memory module, display module, spectral line drafting module, and image processing module connected with camera;Institute State image processing module to be connected with display module by display controller, to show camera by display module The image of the actual nuclear spectrum curve map for shooting, and the image is gathered spectrum curve by spectral line drafting module On data point to curve data processing module;The curve data processing module is suitable to according to the reality for showing Spectrum curve figure is copied each key point of the nuclear energy spectral curve and obtains spectrum curve data, and passes through data storage Control module is sent to memory module to set up spectrum curve database.
Further, the curve data processing module is connected with random number generation unit, and the random number is sent out Raw unit includes:Nuclear signal time statistical property analog module and nuclear signal amplitude statistics simulated behavior module, Wherein described nuclear signal time statistical property analog module is suitable to realize core by the random number for obeying exponential distribution Signal time statistical property is simulated, the random number of the exponential distribution by (0,1] equally distributed random number leads to Cross inverse function method conversion to obtain, and (0,1] uniform random number is suitable to try to achieve by linear congruential method;Institute State nuclear signal amplitude statistics simulated behavior module to be suitable to by actual nuclear spectrum Curves Recognition and digitizing and obtaining Each energy level amplitude and counting rate, then by DSMC direct sampling and the random number is exported to simulate The randomness of nuclear decay process, then carry out statistical disposition to the random number and obtain the simulation spectrum curve.
Further, the processor also includes:There is module in ambient noise, the ambient noise occurs module to fit In the noise signal that output is used for and simulation spectrum curve is superimposed.
Further, the processor also includes:Multiple tracks data processor, the multiple tracks data processor connection are used Multi-channel analysis collecting unit in the real nuclear energy spectral line data for obtaining detector collection;Many track datas Processor includes:Adc data and control module, data analysis and spectral line data processing module and peakvalue's checking and Control module;The multi-channel analysis collecting unit includes:Preamplifier connected with detector, this is preposition The output end of amplifier is connected with the input of sampling and holding circuit, energy level detection circuit respectively;Described adopt The output end of sample and holding circuit passes through ADC converter;The adc data and control module are suitable to access very Real nuclear energy spectral line data, and send the data to data analysis and spectral line data processing module;The peak Value detection and control module are suitable to gather the energy level data of real nuclear energy spectral line data, and by first, second Control signal is respectively sent to the sampling in multi-channel analysis collecting unit and holding circuit, adc data and control mould Block;The data analysis and spectral line data processing module are connected with random number generation unit, and real core is believed Number energy spectrum diagram demarcated and calibrated to simulating spectrum curve data;
Further, the processor also includes:Feedback and calibration circuit, and by the feedback and calibration circuit The feedback data of simulation nuclear energy spectral line is obtained, and random number generation unit will be sent to after the feedback data inverting; And/or send feedback signal to the input of preamplifier.
Another aspect, on the basis of above-mentioned imitative nuclear signal generation system, present invention also offers a kind of imitative core Signal generating system.
This imitative nuclear signal occurs system to include:Processor spectrum curve image connected with the processor Data acquisition unit, the output end of the processor is by simulating spectrum curve data outputting unit and detector It is connected.
Further, the spectrum curve image data acquiring unit also includes:Image connected with memory module Conserving appliance, and the actual nuclear energy obtained by image conserving appliance is respectively set a song to music by described image conserving appliance The image of line chart is preserved;The memory module is also connected with image processing module, that is, pass through described image Processing module by the actual nuclear energy obtained by image conserving appliance respectively set a song to music line chart image is filtered, noise reduction is pre- Process, Curves Recognition, curvilinear characteristic extract, and carry out interpolation processing with improve and repair disappearance can set a song to music Each point data of line, to set up spectrum curve database.
The third aspect, present invention also offers there is the method for work of system processor in a kind of imitative nuclear signal, This method of work comprises the steps:
Step S1, obtains actual nuclear spectrum curve map;
Step S2, is processed to actual nuclear spectrum curve map to obtain simulation spectrum curve;And
Step S3, inverting compare simulation spectrum curve and actual spectrum curve, with obtain simulation spectrum curve and Error between actual spectrum curve.
Further, by being processed actual nuclear spectrum curve map to obtain simulation spectrum curve in step S2 Method include:
Step S21, carries out Curves Recognition to actual nuclear spectrum curve map and spectrum curve quantizes, to obtain The numerical value of spectrum curve each point;Step S22, is obtained by this group numerical value of the random direct sampling of DSMC The random number with regard to each nuclear level is arrived, to simulate the randomness of nuclear decay process;Step S23, to described random Number carries out statistical disposition and obtains the simulation spectrum curve;
Wherein, Curves Recognition is carried out to actual nuclear spectrum curve map in step S21 and by spectrum curve number Value includes in the method for obtaining the numerical value of spectrum curve each point:Actual nuclear energy is respectively set a song to music the image warp of line chart Actual spectrum curve figure is shown after processing by filtering and noise reduction again, and the actual spectrum curve figure according to display The each key point for copying the nuclear energy spectral curve obtains spectrum curve data, to set up spectrum curve database;Or By actual nuclear energy respectively set a song to music line chart image is filtered, noise reduction pretreatment, Curves Recognition, curvilinear characteristic are extracted, And interpolation processing is carried out so that each point data of disappearance spectrum curve is improved and repair, to set up spectrum curve number According to storehouse;
Obtained with regard to each nuclear level by this group numerical value of the random direct sampling of DSMC in step S22 Random number include in the method for simulating the randomness of nuclear decay process:Nuclear signal time statistical property is simulated; And nuclear signal amplitude statistics simulated behavior;The method of the nuclear signal time statistical property simulation includes:Logical The random number for crossing obedience exponential distribution realizes the simulation of nuclear signal time statistical property, and wherein exponential distribution is random Number by (0,1] equally distributed random number by inverse function method convert obtain, and (0,1] be uniformly distributed with Machine number is suitable to try to achieve by linear congruential method;The method of the nuclear signal amplitude statistics simulated behavior includes:Logical Cross to actual nuclear spectrum Curves Recognition and digitize and each energy level amplitude and counting rate is obtained, then pass through Monte Carlo Method direct sampling simultaneously exports the random number;The wherein identification to actual nuclear energy spectral curve digitized mistake Journey includes:Step S221, is filtered to actual spectrum curve figure, noise reduction;Step S222, by maximum Between class, split plot design obtains threshold value, and spectrum curve figure is carried out binary conversion treatment, then is carried by pixel scanning method The numerical value for taking out each point on spectrum curve is coordinate;Step S223, is repaired to spectrum curve and is quantized; Described by DSMC direct sampling and the method that exports the random number, that is, pass through Monte Carlo side Each point value on method direct sampling spectrum curve and curve, to obtain a series of random numbers, so as to simulation The randomness of nuclear decay process;The method actual spectrum curve figure being filtered in step S221, i.e., Wiener filtering process is carried out to actual spectrum curve figure, to filter the Gaussian noise of spectrum curve in figure;Described Spectrum curve is repaired in step S223 and is quantized including:Filled up by cubic spline interpolation The data point lacked during spectrum curve feature extraction, and stretched by the ratio expansion of coordinate to obtain power spectrum The numerical value of each point on curve map.
The invention has the beneficial effects as follows, there is system processor, system and work in the imitative nuclear signal of the present invention Method by carrying out Curves Recognition to actual nuclear spectrum curve map and spectrum curve quantizing, so as to obtain energy The numerical value (i.e. the counting rate of the energy level of nuclear spectrum and each energy level) of spectral curve each point, then pass through DSMC Random this group numerical value of direct sampling to obtain the random number with regard to each nuclear level, so as to simulate nuclear decay process Randomness, finally again the random number is carried out statistical disposition obtain simulate spectrum curve, by inverting pair There is the reliability of system and accuracy with actual spectrum curve to determine imitative nuclear signal than simulating spectrum curve.
Description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is the theory diagram that the imitative nuclear signal of the present invention occurs system;
Fig. 2 is the theory diagram that the imitative nuclear signal of the present invention occurs system;
Fig. 3 is that the imitative nuclear signal of the present invention occurs system flow chart;
Fig. 4 be the present invention step S2 in actual nuclear spectrum curve map is processed to obtain simulation energy The method flow diagram of spectral curve;
Fig. 5 is generation n=10000 involved in the present invention (0,1) uniform random number distribution map;
Fig. 6 is the exponential distribution random-number distribution figure of the present invention;
Fig. 7 is that 1000 group squares that above exponential distribution random number span is evenly dividing of the present invention are gone forward side by side The statistical chart of row statistics;
Fig. 8 is the spectrum curve characteristic pattern for extracting of the present invention;
Fig. 9 is the spectrum curve Preliminary Simulation design sketch of the present invention;
Figure 10 is the design sketch after the cubic spline interpolation of the present invention;
Figure 11 is that the spectrum curve that finally gives of the present invention simulates design sketch;
Figure 12 shows the design sketch of the random generating process of simulation nuclear signal;
Figure 13 is shown using DSMC direct sampling final effect figure.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further detailed explanation.These accompanying drawings are the schematic diagram of simplification, The basic structure of the present invention is only described in a schematic way, therefore which only shows the composition relevant with the present invention.
As shown in figure 1, there is system processor by actual nuclear energy spectral curve in the imitative nuclear signal of the present invention Figure carries out Curves Recognition and spectrum curve quantizes, so as to obtain numerical value (the i.e. nuclear energy of spectrum curve each point The energy level of spectrum and the counting rate of each energy level), then by this group numerical value of the random direct sampling of DSMC with Obtain the random number with regard to each nuclear level, so as to simulate the randomness of nuclear decay process, finally again to described with Machine number carries out statistical disposition and obtains simulating spectrum curve, by inverting comparative simulation spectrum curve and actual power spectrum There is the reliability of system and accuracy to determine imitative nuclear signal in curve.
The specific embodiment of the present invention is as shown in example 1 below and embodiment 2.
Embodiment 1
As shown in Fig. 2 the invention provides a kind of imitative nuclear signal occurs system processor, including:With energy The connected spectrum curve image data acquisition unit of spectral curve image data acquiring unit;The spectrum curve figure As data capture unit is suitable to send the actual spectrum curve view data for obtaining to random number generation unit, And simulation spectrum curve is obtained to export by random number generation unit.
Specifically, the output end of the processor is connected with detector by simulating spectrum curve output unit.
The spectrum curve image data acquisition unit includes:Display controller, curve data processing module and Data storage control module;The spectrum curve image data acquiring unit includes:Camera, memory module, Display module, spectral line drafting module, and image processing module connected with camera;Described image is processed Module is connected with display module by display controller, to show the reality of camera shooting by display module The image of nuclear spectrum curve map, and the image is gathered the data point on spectrum curve by spectral line drafting module To curve data processing module;The curve data processing module is suitable to according to the actual spectrum curve figure for showing The each key point for copying the nuclear energy spectral curve obtains spectrum curve data, and is sent out by data storage control module Memory module is delivered to set up spectrum curve database.
The curve data processing module is connected with random number generation unit, and the random number generation unit bag Include:Nuclear signal time statistical property analog module and nuclear signal amplitude statistics simulated behavior module, wherein described Nuclear signal time statistical property analog module is suitable to realize the nuclear signal time by the random number for obeying exponential distribution Statistical property is simulated, the random number of the exponential distribution by (0,1] equally distributed random number passes through inverse function Method conversion is obtained, and (0,1] uniform random number is suitable to try to achieve by linear congruential method;The nuclear signal Amplitude statistics simulated behavior module is suitable to by actual nuclear spectrum Curves Recognition and digitizing and obtaining each energy level width Value and counting rate, then by DSMC direct sampling and the random number is exported to simulate nuclear decay The randomness of journey, then carry out statistical disposition to the random number and obtain the simulation spectrum curve.
Met by nuclear signal time statistical property analog module and nuclear signal amplitude statistics simulated behavior module Actual nuclear decay process the time after with amplitude on statistical property.
With regard to the specific implementation process of random number generation unit, will be described in detail in example 2.
Optionally, the nuclear signal time statistical property analog module and nuclear signal amplitude statistics simulated behavior mould Block is also connected with DAC data and control module, and DAC data and control module are suitable to pass through Corresponding digital-to-analogue dress changes circuit and will simulate spectrum curve data is activation to detector.
The processor also includes:There is module in ambient noise, the ambient noise occurs module to be suitable to output use In the noise signal superimposed with simulation spectrum curve.
The processor also includes:Multiple tracks data processor, the multiple tracks data processor are connected to obtain and visit Survey the multi-channel analysis collecting unit of the real nuclear energy spectral line data of device collection;The multiple tracks data processor bag Include:Adc data and control module, data analysis and spectral line data processing module and peakvalue's checking and control module; The multi-channel analysis collecting unit includes:Preamplifier connected with detector, the preamplifier defeated Go out end to be connected with the input of sampling and holding circuit, energy level detection circuit respectively;The sampling and holding electricity The output end on road passes through ADC converter;The adc data and control module are suitable to access real nuclear spectrum Line number evidence, and send the data to data analysis and spectral line data processing module;The peakvalue's checking and control Molding block is suitable to gather the energy level data of real nuclear energy spectral line data, and first, second control signal is divided Sampling and holding circuit, adc data and control module in not sending to multi-channel analysis collecting unit;The number It is connected with random number generation unit according to analysis and spectral line data processing module, by the energy spectrum diagram of real nuclear signal Simulation spectrum curve data are demarcated and is calibrated;
The effect of the adc data and control module is to transmit for analog quantity and ADC converter is controlled System.
The ambient noise occurs module to be suitable to being superimposed nuclear signal and Gaussian noise, to reach simulation truly The purpose of nuclear signal, is finally analyzed through multi-channel analysis collecting unit with checking system by the device capture of spy core again again Reliability.
Specifically, the ambient noise generator can be set a song to music with simulation by the 2nd DAC data and control module Corresponding D/A converting circuit in line data outputting unit is connected with Signal averaging module.
The effect of first, second DAC data and control module is transmitted for digital quantity and to follow-up digital-to-analogue Change-over circuit is controlled.
Ambient noise occurs the specific algorithm of module generation noise as follows:
If (X, Y) is the stochastic variable of one group of separate and Normal Distribution, then understand its two dimension Joint density function expression formula is:
Can be obtained by polar coordinate transform formula:X=Rcos (θ), y=Rsin (θ), wherein 0≤R≤r, 0≤θ≤2 π, Then there is dxdy=RdRd θ, the distribution function that therefore can calculate R is:
Can so try to achieve
Thus F is calculated-1 R(X) obtain
I.e.
If random number X is obeyed (0,1) and is uniformly distributed, then 1-X is similarly obeyed and is uniformly distributed, therefore Following replacement can be made
Wherein U, V are any (0,1) uniform random number.
Have in the same manner
So as to Gauss can be obtained and is divided by formula (5) or formula (6) conversion by two uniform random numbers U, V Cloth random number.Can be tried to achieve by conversion by standardized normal distribution for different parameters normal distribution.
If X~N (0,1), then
σ X+ ε~N (ε, σ2) (7)
Also, the processor also includes:Feedback and calibration circuit, and obtained by the feedback and calibration circuit The feedback data of nuclear energy spectral line must be simulated, and random number generation unit will be sent to after the feedback data inverting; And/or send feedback signal to the input of preamplifier (by simulating controlling switch).
Optionally, feedback circuit unit includes:Gain module connected with the output end of Signal averaging module, ADC connected with the gain module, the ADC by feedback and calibration module by data inversion after It is sent to random number generation unit.
The process of implementing includes:
By feedback circuit by nuclear signal and superposed signal gain G=1 times of noise signal, respectively superposition is believed Number to random number generating system and again sample through A/D conversion output and to obtain DfeedbackWith transmit to multi-channel analysis D is obtained after deviceinput.The spectrum curve data obtained by contrasting two ways can obtain error coefficient k:
K=Dinput/Dfeedback(8)
When the system is operated, final output signal actual value is:
Doutput=k*Dinitial(9)
Also, the output end of the gain module is communicated to preamplifier also by a simulation controlling switch Input, and be suitable to for feedback signal to be introduced to multi-channel analysis collecting unit, the simulation controlling switch is responsible for Feedback signal is switched on or switched off, can be realized by low and high level.
Each functional module, unit in the processor can be realized using FPGA.
Also, USB interface is additionally provided with the processor, the USB interface is connected with random number generation unit, Data debugging is carried out in order to PC.
Embodiment 2
On the basis of embodiment 1, present invention also offers there is system in a kind of imitative nuclear signal, including:Described Processor spectrum curve image data acquiring unit connected with the processor, the output end of the processor It is connected with detector by simulating spectrum curve data outputting unit.
The simulation spectrum curve data outputting unit includes the simulation spectrum curve data output end with processor Connected D/A converting circuit, the D/A converting circuit are connected with detector.
And the imitative nuclear signal occurs system also to include:Multi-channel analysis collecting unit, feedback circuit unit, The theory structure of said units has been described in detail in embodiment 1, and specific implementation method refers to reality Apply corresponding contents in example 3.
Embodiment 3
As shown in figure 3, on the basis of embodiment 1, present invention also offers there is system in a kind of imitative nuclear signal With the method for work of processor, comprise the steps:
Step S1, obtains actual nuclear spectrum curve map;Step S2, at actual nuclear spectrum curve map Reason is to obtain simulation spectrum curve;And step S3, inverting compares simulation spectrum curve and actual spectrum curve, To obtain the error between simulation spectrum curve and actual spectrum curve.
Further, as shown in figure 4, being processed to actual nuclear spectrum curve map in step S2 to obtain The method of simulation spectrum curve, i.e., realize simulation spectrum curve by random number generation unit, and its method includes:
Step S21, carries out Curves Recognition to actual nuclear spectrum curve map and spectrum curve quantizes, to obtain The numerical value of spectrum curve each point;Step S22, is obtained by this group numerical value of the random direct sampling of DSMC The random number with regard to each nuclear level is arrived, to simulate the randomness of nuclear decay process;And step S23, to described Random number carries out statistical disposition and obtains the simulation spectrum curve.
Specifically, Curves Recognition is carried out to actual nuclear spectrum curve map in step S21 and by spectrum curve Quantizing is included with obtaining the method for the numerical value of spectrum curve each point:
Actual nuclear energy is respectively set a song to music line chart the filtered denoising of image after again actual spectrum curve figure is carried out Show, and each key point for the nuclear energy spectral curve being copied according to the actual spectrum curve figure for showing is obtained and can be set a song to music Line number evidence, to set up spectrum curve database;Or by actual nuclear energy respectively set a song to music line chart image filtered, drop Make an uproar pretreatment, Curves Recognition, curvilinear characteristic extract, and carry out interpolation processing with improve and repair disappearance energy Each point data of spectral curve, to set up spectrum curve database.
Wherein, closed by this group numerical value of the random direct sampling of DSMC in step S22 Include in the method for simulating the randomness of nuclear decay process in the random number of each nuclear level:The nuclear signal time counts Simulated behavior and nuclear signal amplitude statistics simulated behavior.
The method of the nuclear signal time statistical property simulation includes:By obeying the random number reality of exponential distribution Existing nuclear signal time statistical property simulation, the wherein random number of exponential distribution by (0,1] equally distributed random Number is obtained by inverse function method conversion, and (0,1] uniform random number is suitable to try to achieve by linear congruential method.
Specifically, tried to achieve by linear congruential method (0,1] method of uniform random number is as follows:
The recurrence formula of linear congruential method is as follows:
xi+1≡λxi+c(mod M) (10)
Wherein λ, c are constant.The initial x for choosing1Referred to as seed, the generation quality to random number have one to be fixed Ring, its value is respectively 1~216Choose between=65535.For the ease of using on computers, generally take
M=2S, wherein S is binary maximum possible number of significant digit in computer.
Fig. 5 be take 10000 (0,1] random-number distribution situation
The production method of exponential distribution random number, i.e. exponential distribution random number can be realized by inverse function method, specifically Process is as follows:
If the distribution function of stochastic variable X obeys exponential distribution:
F (x)=1-e-ax, x >=0 (12)
Wherein, a is a time constant, and e is the nature truth of a matter.
Permissible by above formula, F (x) ∈ [0,1), and monotone decreasing in the domain of definition, therefore function F (x) is in 0~+∞ There must be inverse function, seek its inverse function:
Due to 0 < 1-F (x)≤1, therefore above formula can be reduced to
Can be learnt by meeting by formula (14) (0,1] equally distributed Random sampling obtain obeying exponential distribution with Machine number x.
TakeThe exponential distribution produced by inverse function method by the equal distribution random numbers of above unit is random Number distribution map such as Fig. 6.1000 group squares are evenly dividing to above exponential distribution random number span and are carried out Statistics, final statistical chart are as shown in Figure 7.
The method of the nuclear signal amplitude statistics simulated behavior includes:By to actual nuclear spectrum Curves Recognition simultaneously Digitlization obtains each energy level amplitude and counting rate, then by DSMC direct sampling and export described with Machine number;Identification digitized process wherein to actual nuclear energy spectral curve includes:
Step S221, is filtered to actual spectrum curve figure, noise reduction;Step S222, by between maximum kind Split plot design obtains threshold value, and spectrum curve figure is carried out binary conversion treatment, then is extracted by pixel scanning method On spectrum curve, the numerical value of each point is coordinate;Step S223, is repaired to spectrum curve and is quantized.
Specifically, described by DSMC direct sampling and the method that exports the random number, that is, lead to Each point value on crossing DSMC direct sampling spectrum curve and curve, a series of random to obtain Random number, so as to simulate the randomness of nuclear decay process.
The method actual spectrum curve figure being filtered in step S221, i.e., to actual spectrum curve figure Wiener filtering process is carried out, so that the Gaussian noise of spectrum curve in figure is filtered, so as to reduce noise as far as possible The interference for bringing.
The specific implementation process of the method for the nuclear signal amplitude statistics simulated behavior is as follows:
Actual spectrum curve figure is filtered in step S221, the specific implementation step of noise reduction as follows:
Actual spectrum curve figure is filtered by Wiener filtering, noise reduction process, i.e., described Wiener filter For a kind of linear filter, and also it is a kind of based on minimum mean square error criterion, the optimum to stationary process Estimator.
Assume that Wiener filter input signal is s (t), superimposed noise n (t).Output signal x (t) passes through wave filter g (t) Obtained by following convolution algorithm:
X (t)=g (t) * (s (t)+n (t)) (15)
For signal x (t) for estimating, it is desirable to be equal to s (t).
Its error is:E (t)=s (t+d)-x (t) (16)
Variance is:e2(t)=s2(t+d)-2s(t+d)x(t)+x2(t) (17)
Wherein s (t+d) is the output of desired wave filter.
X (t) is write as convolution integral, i.e.,
Square error can be calculated is:
Wherein RsIt is the auto-correlation function of s (t), RxIt is the auto-correlation function of x (t), RxsIt is x (t) and s (t) from phase Close function.The final purpose of Wiener filtering is exactly to seek optimum g (t) so that E (e2) minimum.
Threshold value is obtained by split plot design between maximum kind in step S222, and spectrum curve figure is carried out two-value Change is processed, then the numerical value i.e. coordinate for being extracted each point on spectrum curve by pixel scanning method;
The specific algorithm process of maximum variance between clusters is as follows:
If the gray value of piece image is 1~m, wherein gray value is n for the pixel number of ii, N represents figure As pixel sum, then the probability that gray value occurs for i is:
It is C more than threshold value k to make gray value1Group, i.e. C1={ 1~k }, that gray value is more than threshold value k is then C2Group, C2={ k+1~m }, then C1And C2The probability of appearance is respectively:
It is calculated C1And C2Gray average be:
Wherein,Can so obtain:
μr1·μ12·μ2(25)
Thus the variances sigma between two groups can be calculated2For:σ2(k)=ω11r)222r)2(26)
Formula (25) is substituted into formula (26) to obtain:σ2(k)=ω1ω221)2
So optimal threshold T*=Arg max { σ2(k) }, 0≤k < m-1 (27)
Try to achieve segmentation threshold T*=0.6353.
That spectrum curve repaired in step S223 and quantized comprises the following steps that:
For extracting the number of each point on nuclear energy spectral curve after the filtered denoising of actual nuclear spectrum curve map, binaryzation Value is coordinate, need to extract spectrum curve feature, and curve is quantized.Detailed process is as follows:
First, Straight Line Identification, i.e., by the row and column of scanning nuclear energy spectral curve binary map, identify nuclear spectrum The straight line of in figure;
Secondly, fixed point, is judged horizontal stroke, the ordinate of spectrum curve place coordinate system by the straight line for recognizing, and Positioning initial point, typically from top to bottom, is scanned from left to right, and the straight line for identifying just is sat for horizontal, vertical Mark;
3rd, spectrum curve feature extraction.For reduce image in frame and coordinate pair curve impact, need by Frame is filtered.Again the point (two that pixel is 0 line by line or is scanned by column by pixel scan method after filtering frame In value image, black is 0, and white is 1).
Finally, curve quantizes.After extracting curve, arrived by calculating the spectrum curve available point for scanning With stringer distance, the row of scan origin determines that the pixel, in the position of in figure, is sat finally by being multiplied by expand Target scale factor obtains the coordinate value of the pixel.
Final extraction spectrum curve characteristic effect is as shown in Figure 8.
And spectrum curve Preliminary Simulation effect is as shown in Figure 9.
Further, can be seen that from Fig. 8 and Fig. 9, the spectrum curve figure of the simulation for obtaining is than proper energy spectral curve Lack in the data of some points.For truly reflecting actual spectrum curve characteristic as far as possible, need to lacking The data of mistake carry out filling up reparation.
Specifically, described being filled up by cubic spline interpolation is lacked during spectrum curve feature extraction The data point of mistake, and stretched by the ratio expansion of coordinate to obtain the numerical value of each point on spectrum curve figure, to realize Data to lacking effectively are filled up and reparation.
The cubic spline interpolation is filling up the data point lacked during the spectrum curve feature extraction Specific algorithm is as follows:
Piecewise function S (x) on interval of definition [a, b], if meet:
1. S (x) is in each subinterval [xi, xi+1] on be a cubic polynomial function;
2. S (x) has continuous second dervative on whole interval [a, b].
Then S (x) be called on interval [a, b] with regard to a=x0< x1< ... < xnOne cubic spline function of=b. So as to cubic spline interpolation problem it is:N+1 node x of given function g (x)0, x1..., xnObtain function y0, y1..., yn, seek cubic spline function S (x) so as to meet:
S(xj)=yj, j=0,1 ..., n (28)
Wherein, function S (x) is referred to as the cubic spline functions of g (x).
If S (x) is three sample spline interpolation functions of f (x), then must be fulfilled for following condition:
1. interpolation condition, i.e.,
S(xj)=yj, j=0,1 ..., n-1
2. the condition of continuity, i.e.,
2. the first derivative condition of continuity, i.e.,
4. the second dervative condition of continuity, i.e.,
Design sketch after cubic spline interpolation, as shown in Figure 10, can be seen by its partial enlarged drawing, Data point after cubic spline interpolation is more smoothed, and more approaches actual value.
Actual nuclear spectrum curve simulation effect, i.e., to actual nuclear spectrum curve map after above-mentioned image procossing, most It is as shown in figure 11 that the spectrum curve simulation design sketch is obtained eventually.
Specifically, by each point value on DSMC direct sampling spectrum curve and curve, to obtain A series of random random numbers are obtained, so as to simulate the randomness of nuclear decay process.
Figure 12 shows the design sketch of the random generating process of simulation nuclear signal;
Figure 13 shows that (this figure is by actual spectrum curve using DSMC direct sampling final effect figure Figure obtains energy level and this array of counting rate after quantizing after, random sampling procedure counting is obtained.This figure It is suitable to prove by reasonability and the accuracy of Monte-Carlo step).
Obtain simulating the numerical value of each point on spectrum curve and curve by numbers above image processing process (abscissa is road location Channel, and ordinate is counting rate Count), then directly taken out with DSMC This group data of sample can just obtain a series of random energy level random numbers, and (energy level is such as, but not limited to by multiple tracks Analyzer quantization is obtained, and the road location refers to the energy of nuclear decay process release after multichannel analyzer quantization Obtain), so as to simulate the randomness of nuclear decay process.Finally again the random number is counted, can To obtain simulating spectrum curve figure, so on the one hand can be with the reliability of checking system and accuracy, the opposing party Face can also inverting in multichannel analyzer, in order to demarcate the accuracy of multichannel analyzer.
Using DSMC, probability P (A)=p (unknown) that certain event A is occurred, meter is simulated Calculate, circular:
(1) n times are carried out and repeats independent sampling test, it is n to calculate event A frequencyA.
Introduce stochastic variable Xi, represent event A frequency in i & lt test, order
Then have
(2) calculate event A and repeat the occurrence frequency f in independent sampling test in n timesN, it is
(3) when N is fully big, with probability fNEstimate as probability P (A)=pFor
(4) estimate is requiredFor the unbiased esti-mator of probability P (A)=p, i.e.,
And direct sampling, i.e. characteristic to nuclear signal on time and amplitude be with two groups of obedience different distributions Random number simulating, and random number be discrete, discontinuous.For the sampling of discrete random sequence, Direct sampling method is ideal.
The concrete sampling process of discrete distribution direct sampling method is as follows:
If the span of discrete random variable X is Xi(i=0,1,2,3 ...), its probability distribution is P (X=Xi)=Pi(i=0,1,2,3 ...).Wherein Pi>=0,
(1) equally distributed random number r on (0,1) interval is produced;
(2) positive integer n=0 is tried to achieve, 1,2... so that r meets
(3) sample value for extracting discrete random variable X is X=Xn.And work as 0<r≤P0When X=X0
(4) repeat step (1), (2), (3) are until extracting n sample value.
Due to producing (0,1) if equally distributed random number r is in intervalProbability be
That is eventThe probability of appearance is equal to event X=XnThe probability of generation.
Again because random number r obeys being uniformly distributed on (0,1), its probability density function is
Its distribution function is as follows:
Therefore random number r for producing draws sample value for X=xnProbability be
It follows that being drawn into (X=X by direct sampling methodn) probability be equivalent to random number XnIn random number sequence Row X1, X2... XnThe frequency of appearance.
Can be by following proof for direct sampling method reliability:
If X is discrete random variable, its probability distribution is Pi=P { X=Xi, wherein i=1,2 ....X respectively with PiObtain Xi, thenEvent | X-E (X) | >=ε represents that stochastic variable X obtains all satisfactions Inequality | Xi- E (X) | the probable value X of >=εi, then
Due to event X=XiThe probability that (i=0,1,2 ... N) occurs is pi(0<pi<1), then X ≠ XiGeneral Rate is then 1-pi, and X=X every timeiThe probability of generation be constant, and every time sampling results with other each time extraction As a result unrelated.Therefore X=XiIndividual event is a bernoulli experiment, then sampling n time, then weigh primary for n Nu Li is tested.If making event A (X=Xi) number of times that occurs is nA, i.e. nA~B (n, p).Due to X1, X2..., XnIt is n stochastic variable that is separate and obeying the 0-1 distribution that parameter is p, and
HaveGiving any ε > 0 then has
Can be derived from by (4.31) formula
And
Therefore can be derived from
Abbreviation is obtained
I.e. when the frequency n for extracting is bigger, after sampling, the number of times of event A appearance is got over the frequency ratio of population of samples Close to the probability that event A occurs.
Its error of random number is extracted by direct sampling is:
OrderTherefore
I.e.It is the unbiased esti-mator of p,
That is the number of times of sampling n is bigger, estimateCloser to theoretical value p.
With the above-mentioned desirable embodiment according to the present invention as enlightenment, by above-mentioned description, related work Personnel can carry out various change and modification completely in the range of without departing from this invention technological thought. The technical scope of this invention is not limited to the content on specification, it is necessary to according to right To determine its technical scope.

Claims (10)

1. there is system processor in a kind of imitative nuclear signal, it is characterised in that include:With spectrum curve image The connected spectrum curve image data acquisition unit of data acquisition unit;
The spectrum curve image data acquisition unit is suitable to send the actual spectrum curve view data for obtaining To random number generation unit, and simulation spectrum curve is obtained to export by random number generation unit.
2. processor according to claim 1, it is characterised in that the spectrum curve view data is obtained Taking unit includes:Display controller, curve data processing module data storage control module;
The spectrum curve image data acquiring unit includes:Camera, memory module, display module, spectrum Line drafting module, and image processing module connected with camera;
Described image processing module is connected with display module by display controller, to be shown by display module The image of the actual nuclear spectrum curve map that camera shoots, and the image is gathered energy by spectral line drafting module Data point on spectral curve is to curve data processing module;
The curve data processing module is suitable to copy the nuclear energy spectral curve according to the actual spectrum curve figure for showing Each key point obtain spectrum curve data, and sent to memory module by data storage control module to build Vertical spectrum curve database.
3. processor according to claim 2, it is characterised in that the curve data processing module with Random number generation unit is connected, and the random number generation unit includes:Nuclear signal time statistical property is simulated Module and nuclear signal amplitude statistics simulated behavior module, wherein
The nuclear signal time statistical property analog module is suitable to realize core by the random number for obeying exponential distribution Signal time statistical property is simulated, the random number of the exponential distribution by (0,1] equally distributed random number leads to Cross inverse function method conversion to obtain, and (0,1] uniform random number is suitable to try to achieve by linear congruential method;
The nuclear signal amplitude statistics simulated behavior module is suitable to by actual nuclear spectrum Curves Recognition and digital Change and each energy level amplitude and counting rate is obtained, then by DSMC direct sampling and export the random number So that the randomness of nuclear decay process is simulated, then statistical disposition is carried out to the random number obtain the simulation power spectrum Curve.
4. processor according to claim 3, it is characterised in that the processor also includes:Background There is module in noise, the ambient noise occurs module to be suitable to export for spectrum curve is superimposed makes an uproar with simulation Acoustical signal.
5. processor according to claim 4, it is characterised in that the processor also includes:Multiple tracks Data processor, the multiple tracks data processor are connected to obtain the real nuclear spectrum line number of detector collection According to multi-channel analysis collecting unit;
The multiple tracks data processor includes:Adc data and control module, data analysis and spectral line data are processed Module and peakvalue's checking and control module;
The multi-channel analysis collecting unit includes:Preamplifier connected with detector, the preamplifier Output end respectively with sampling and holding circuit, energy level detection circuit input be connected;The sampling and guarantor The output end of circuit is held by ADC converter;
The adc data and control module are suitable to access real nuclear energy spectral line data, and by the data is activation To data analysis and spectral line data processing module;The peakvalue's checking and control module are suitable to gather real core The energy level data of energy spectral line data, and it is single that first, second control signal is respectively sent to multi-channel analysis collection Sampling and holding circuit, adc data and control module in unit;
The data analysis and spectral line data processing module are connected with random number generation unit, and real core is believed Number energy spectrum diagram demarcated and calibrated to simulating spectrum curve data;
6. processor according to claim 5, it is characterised in that the processor also includes:Feedback And calibration circuit, and the feedback data for simulating nuclear energy spectral line is obtained by the feedback and calibration circuit, and should Random number generation unit is sent to after feedback data inverting;And/or send feedback signal to preamplifier Input.
7. there is system in a kind of imitative nuclear signal, it is characterised in that include:As described in claim 1 to 6 Processor spectrum curve image data acquiring unit connected with the processor, the output end of the processor It is connected with detector by simulating spectrum curve data outputting unit.
8. there is system in imitative nuclear signal according to claim 7, it is characterised in that the spectrum curve Image data acquiring unit also includes:Image conserving appliance connected with memory module, and pass through described image Respectively the set a song to music image of line chart of the actual nuclear energy obtained by image conserving appliance is preserved by conserving appliance;
The memory module is also connected with image processing module, i.e., will be by image by described image processing module The actual nuclear energy that conserving appliance is obtained respectively set a song to music line chart image is filtered, noise reduction pretreatment, Curves Recognition, Curvilinear characteristic is extracted, and carries out interpolation processing to improve and repair each point data of disappearance spectrum curve, with Set up spectrum curve database.
9. there is the method for work of system processor in a kind of imitative nuclear signal, it is characterised in that including following step Suddenly:
Step S1, obtains actual nuclear spectrum curve map;
Step S2, is processed to actual nuclear spectrum curve map to obtain simulation spectrum curve;And
Step S3, inverting compare simulation spectrum curve and actual spectrum curve, with obtain simulation spectrum curve and Error between actual spectrum curve.
10. method of work according to claim 9, it is characterised in that
By being processed to actual nuclear spectrum curve map to obtain the method bag of simulation spectrum curve in step S2 Include:
Step S21, carries out Curves Recognition to actual nuclear spectrum curve map and spectrum curve quantizes, to obtain The numerical value of spectrum curve each point;
Step S22, is obtained with regard to each nuclear level by this group numerical value of the random direct sampling of DSMC Random number, to simulate the randomness of nuclear decay process;
Step S23, carries out statistical disposition and obtains the simulation spectrum curve to the random number;
Wherein, Curves Recognition is carried out to actual nuclear spectrum curve map in step S21 and by spectrum curve number Value includes in the method for obtaining the numerical value of spectrum curve each point:
Actual nuclear energy is respectively set a song to music line chart the filtered denoising of image after again actual spectrum curve figure is carried out Show, and each key point for the nuclear energy spectral curve being copied according to the actual spectrum curve figure for showing is obtained and can be set a song to music Line number evidence, to set up spectrum curve database;Or
By actual nuclear energy respectively set a song to music line chart image is filtered, noise reduction pretreatment, Curves Recognition, curvilinear characteristic Extract, and interpolation processing is carried out so that each point data of disappearance spectrum curve is improved and repair, to set up power spectrum Diagram database;
Obtained with regard to each nuclear level by this group numerical value of the random direct sampling of DSMC in step S22 Random number include in the method for simulating the randomness of nuclear decay process:
Nuclear signal time statistical property is simulated;And nuclear signal amplitude statistics simulated behavior;
The method of the nuclear signal time statistical property simulation includes:By obeying the random number reality of exponential distribution Existing nuclear signal time statistical property simulation, wherein
The random number of exponential distribution by (0,1] equally distributed random number by inverse function method conversion obtain, and (0,1] uniform random number is suitable to try to achieve by linear congruential method;
The method of the nuclear signal amplitude statistics simulated behavior includes:
By to actual nuclear spectrum Curves Recognition and digitizing and obtaining each energy level amplitude and counting rate, then by covering Special Caro method direct sampling simultaneously exports the random number;Wherein
Identification digitized process to actual nuclear energy spectral curve includes:
Step S221, is filtered to actual spectrum curve figure, noise reduction;
Step S222, obtains threshold value by split plot design between maximum kind, and spectrum curve figure is carried out at binaryzation Reason, then the numerical value i.e. coordinate for being extracted each point on spectrum curve by pixel scanning method;
Step S223, is repaired to spectrum curve and is quantized;
Described by DSMC direct sampling and the method that exports the random number, i.e.,
By each point value on DSMC direct sampling spectrum curve and curve, a series of to obtain Random number, so as to simulate the randomness of nuclear decay process;
The method actual spectrum curve figure being filtered in step S221, i.e., to actual spectrum curve figure Wiener filtering process is carried out, to filter the Gaussian noise of spectrum curve in figure;
Spectrum curve is repaired in step S223 and is quantized including:By cubic spline interpolation To fill up the data point lacked during spectrum curve feature extraction, and expanded by the ratio of coordinate stretch with Obtain the numerical value of each point on spectrum curve figure.
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