CN103674988A - Baseline restoring method applicable to digital multi-channel pulse amplitude analysis - Google Patents

Baseline restoring method applicable to digital multi-channel pulse amplitude analysis Download PDF

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Publication number
CN103674988A
CN103674988A CN201310712244.8A CN201310712244A CN103674988A CN 103674988 A CN103674988 A CN 103674988A CN 201310712244 A CN201310712244 A CN 201310712244A CN 103674988 A CN103674988 A CN 103674988A
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baseline
points
baseline restorer
pulse amplitude
restoring method
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CN201310712244.8A
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Chinese (zh)
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倪佩佩
吴升海
应刚
刘召贵
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Jiangsu Skyray Instrument Co Ltd
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Jiangsu Skyray Instrument Co Ltd
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Priority to CN201310712244.8A priority Critical patent/CN103674988A/en
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Abstract

The invention provides a baseline restoring method applicable to digital multi-channel pulse amplitude analysis. The baseline restoring method comprises the following steps: performing baseline restoration on a signal after trapezoidal filtration; and in the baseline restoration, acquiring multiple point values on a baseline in real time and averaging the multiple point values, wherein 1024-16384 points are adopted. In the baseline restoring method applicable to the digital multi-channel pulse amplitude analysis, the multiple point values on the baseline are acquired in real time and averaged, so that the change of the baseline can be captured in real time, thereby achieving an aim of stabilizing measurement.

Description

Baseline restorer method for digital multichannel pulse amplitude analysis
Technical field
The present invention relates to material analysis field, relate to especially the sampling and processing of data in spectrometer.
Background technology
Numeral multichannel pulse scope-analyzer is data centralized procurement and processing core component in energy dispersion, wavelength dispersion X-ray fluorescence spectrometer.Numeral multichannel pulse scope-analyzer mainly contains the compositions such as trapezoidal filtering, baseline restorer, peak identification, and all functions and method have been programmed by a FPGA.
Owing to being subject to circuit noise, hardware temperature and floating etc. the interference of factor, can cause the more severe of baseline shock in signal, and baseline is more easily subject to input count rate (Input count rate, input pulse number in 1s clock) impact, it is more difficult that all factors all can cause obtaining of baseline above, once a complete fixed value of measurement use is completely unacceptable as baseline value, and this can cause the result of measuring to have deviation.
Summary of the invention
The present invention is intended at least solve one of technical matters existing in prior art.
For this reason, the object of the invention is to propose a kind of baseline restorer method for digital multichannel pulse scope-analyzer, it catches the situation of change of baseline in real time, thereby reaches the object of stably measured.
According to the baseline restorer method for digital multichannel pulse scope-analyzer of the embodiment of the present invention, comprise the following steps: the signal after trapezoidal filtering is carried out to baseline restorer, a plurality of point value values of averaging that gather in real time in described baseline restorer on baseline are processed, and described a plurality of points are 1024 ~ 16384 points.
According to the baseline restorer method for digital multichannel pulse scope-analyzer of the embodiment of the present invention, a plurality of point value values of averaging that replace fixed value and gather in real time on baseline are processed, therefore the variation of baseline can be caught in real time, thereby the object of stably measured can be reached.
Preferably, a plurality of point values before the trapezoidal formation that described a plurality of point value is trapezoidal filtering.
Further preferably, described a plurality of point is 4096 ~ 16384 points.
Especially preferably, described a plurality of point is 8192 points.
Accompanying drawing explanation
Above-mentioned and/or the additional aspect of the present invention and advantage will become from the following description of the accompanying drawings of embodiments and obviously and easily understand, wherein:
Fig. 1 shows according to Xray fluorescence spectrometer of the present invention;
Fig. 2 shows according to digital multichannel pulse scope-analyzer of the present invention;
Fig. 3 is the design sketch of baseline restorer method according to the present invention when the different value of averaging of counting of collection is processed, wherein: (a) 1024 points; (b) 2048 points; (c) 4096 points; (d) 8192 points; (e) 16384 points;
Fig. 4 shows the peak passage figure of the Fe element that baseline restorer method according to the present invention records respectively under different counting rates and condition of different temperatures, wherein: (a) test result under different counting rates; (b) test result under condition of different temperatures. ?
Embodiment
Describe embodiments of the invention below in detail, the example of described embodiment is shown in the drawings.Below by the embodiment being described with reference to the drawings, be exemplary, only for explaining the present invention, and can not be interpreted as limitation of the present invention.
First, simply introduce according to Xray fluorescence spectrometer of the present invention.It should be noted that, described Xray fluorescence spectrometer comprises energy-dispersion X-ray fluorescence spectrometer and wavelength dispersion X-ray fluorescence spectrometer.
As shown in Figure 1, according to Xray fluorescence spectrometer of the present invention, comprise test department 1 and digital multichannel pulse scope-analyzer 2.
1 pair of sample of test department detects and obtains spectral signal.
2 pairs of described spectral signals of numeral multichannel pulse scope-analyzer carry out analyzing and processing output spectrum after treatment.
Wherein, as shown in Figure 2, digital multichannel pulse scope-analyzer 2 comprises signal input part 100, signal processing part 200, and efferent 300.
Signal input part 100 is for inputting the spectral signal of being measured gained by Xray fluorescence spectrometer.
Signal processing part 200 is accepted the described spectral signal of being inputted by signal input part 100 and described spectral signal is processed, and obtains spectrum after treatment.
Efferent 300 receives from the spectrum after treatment of signal processing part 200 output.
Wherein, signal processing part 200 comprises filtering processing element 210, baseline restorer processing element 220, and peak identification component 230.
210 pairs of described spectral signals of filtering processing element carry out filtering, to obtain trapezoidal filtering.
220 pairs of described spectral signals of baseline restorer processing element carry out real-time baseline restorer processing.
The baseline of peak identification component 230 based on after recovering carries out peak identification to obtain spectrum after treatment.
Wherein, the baseline restorer method that baseline restorer processing element 220 adopts is with reference to baseline restorer disposal route described later.
 
Next, the X-ray fluorescence spectra analytic approach while carrying out ultimate analysis according to above-mentioned Xray fluorescence spectrometer is described.
X-ray fluorescence spectra analytic approach while carrying out ultimate analysis according to above-mentioned Xray fluorescence spectrometer comprises the following steps:
A) sample is tested, obtained undressed spectral signal; And
b)described spectral signal is carried out to height analysis, to obtain the spectrum after baseline restorer is processed.
Particularly, height analysis wherein comprises the following steps:
1) input signal to be analyzed (that is to say the pending spectral signal by Xray fluorescence spectrometer measurement gained of being inputted by signal input part);
2) described signal is carried out to filtering, obtain trapezoidal filtering; And
3) baseline restorer that carries out to filtered signal, and the baseline based on after recovering carries out peak identification.
Specifically, the described baseline restorer method adopting when carrying out baseline restorer comprises the following steps: the signal after trapezoidal filtering is carried out to baseline restorer, a plurality of point value values of averaging that gather in real time in described baseline restorer on baseline are processed, and described a plurality of points are 1024 ~ 16384 points.
According to the above-mentioned baseline restorer method for digital multichannel pulse scope-analyzer, replace fixed value and a plurality of point value values of averaging of gathering in real time on baseline are processed, so can catch in real time the variation of baseline, thereby can reach the object of stably measured.
Preferably, a plurality of point values before the trapezoidal formation that described a plurality of point value is trapezoidal filtering.
Further preferably, described a plurality of point is 4096 ~ 16384 points.
Especially preferably, described a plurality of point is 8192 points.
 
Below, 3 design sketchs that carry out baseline restorer that are described in the point value situation that adopts varying number by reference to the accompanying drawings.
Because upper and lower two ends of isosceles trapezoid parallel, therefore, in the situation that carrying out trapezoidal filtering, only need the value of front several points of the trapezoidal shaping of Real-time Collection to average processing.Certainly, the present invention is not limited to this, and for example, it is also same adopt several point value values of averaging after trapezoidal shaping to process carrying out baseline restorer.
Gather the point of different numbers, also slightly different on the impact of the treatment effect of baseline restorer.In principle, counting of collection is more, and baseline restorer effect is more obvious, and the baseline after processing is more stable.But, consider the composite factors such as the expense of acquisition system, actual effect, so having designed respectively 1024,2048,4096,8192,16384 points, the present invention carries out real-time baseline restorer processing as representative.
Fig. 3 shows the design sketch when the different value of averaging of counting of collection is processed according to the baseline restorer method of the embodiment of the present invention, wherein: (a) 1024 points; (b) 2048 points; (c) 4096 points; (d) 8192 points; (e) 16384 points.
By gathering respectively the design sketch after 1024,2048,4096,8192,16384 points are processed as mean value shown in analysis chart 3, can draw the following conclusions: the point from 1024 o'clock to 8192, count more, the stability final to system baseline is higher; From 8192 o'clock to 16384, difference was negligible.Therefore, adopt 8192 points to process as mean value, from system cost, process actual effect aspect and consider it is most preferred.By adopting in real time a plurality of points to carry out baseline restorer processing, can be competent at repeatability in any case, the experiment demand of stability.
Below, by reference to the accompanying drawings 4, illustrate and under different counting rates, different temperatures, applied the digital multichannel pulse scope-analyzer of baseline analysis method of the present invention in the situation that analyze the analysis result of the peak passage of Fe element.In figure, as reference, provided the analysis result based on existing baseline restorer method under the same terms simultaneously.
Wherein, (a) of Fig. 4 shows and take the interior identical element (Fe) of testing of short time under different counting rate, (b) of Fig. 4 shows and takes under identical counting rate, under condition of different temperatures, measure Fe element, counting rate, the temperature that is used for respectively investigating circuit such as floats at the impact of correlative factor on instrument repeatability, stability, in order to checking in repeatability, the stability of implementing instrument in situation of the present invention.
Test condition is as follows respectively.
Test condition under different counting rates, except real-time baseline restorer system and common baseline restorer system, all the other test environments are identical, then by different input count rates is set, be completed at every turn, to instrument heat radiation about 5 minutes, guarantee that instrument is operated in best temperature environment, then test next time.The object of test, guarantees that the each probe temperature of instrument all guarantees that in a very little error, the variation of each input environment is only counting rate, then investigates the impact of counting rate on system as much as possible like this.
And test condition is under different temperatures, guarantee, the in the situation that of identical input count rate, to put into constant temperature oven, by different temperature is set, investigate under different temperature environments, in real time the difference of baseline restorer system and common baseline restorer system.
From the data of Fig. 4, can find out, adopted the digital multichannel pulse scope-analyzer of real-time baseline restorer method, than the existing digital multichannel pulse scope-analyzer that adopts common baseline restorer method, in stability and repeatability, there is very large advantage, can farthest suppress the impact that the factors such as counting rate, temperature cause.
And utilized the height analysis method of real-time baseline restorer method, due to Real-time Collection a plurality of point values baseline is recovered, the height analysis carrying out on this basis, its stability is higher, and repeatability is better.
 
In the description of this instructions, the description of reference term " embodiment ", " some embodiment ", " example ", " concrete example " or " some examples " etc. means to be contained at least one embodiment of the present invention or example in conjunction with specific features, structure, material or the feature of this embodiment or example description.In this manual, the schematic statement of above-mentioned term is not necessarily referred to identical embodiment or example.And the specific features of description, structure, material or feature can be with suitable mode combinations in any one or more embodiment or example.
Although illustrated and described embodiments of the invention, for the ordinary skill in the art, be appreciated that without departing from the principles and spirit of the present invention and can carry out multiple variation, modification, replacement and modification to these embodiment, scope of the present invention is by claims and be equal to and limit.

Claims (4)

1. for the baseline restorer method of digital multichannel pulse amplitude analysis, it is characterized in that, comprise the following steps:
Signal after trapezoidal filtering is carried out to baseline restorer, and a plurality of point value values of averaging that gather in real time in described baseline restorer on baseline are processed, and described a plurality of points are 1024 ~ 16384 points.
2. baseline restorer method as claimed in claim 1, is characterized in that, a plurality of point values before the trapezoidal formation that described a plurality of point values are trapezoidal filtering.
3. baseline restorer method as claimed in claim 1, is characterized in that, described a plurality of points are 4096 ~ 16384 points.
4. baseline restorer method as claimed in claim 1, is characterized in that, described a plurality of points are 8192 points.
CN201310712244.8A 2013-12-20 2013-12-20 Baseline restoring method applicable to digital multi-channel pulse amplitude analysis Pending CN103674988A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105099397A (en) * 2015-05-22 2015-11-25 深圳迈瑞生物医疗电子股份有限公司 Baseline reply method, device and medical testing equipment

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1291720A (en) * 1999-10-11 2001-04-18 成都理工学院 Technology for manufacturing portable fluorescent instrument with X ray excited by tube

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1291720A (en) * 1999-10-11 2001-04-18 成都理工学院 Technology for manufacturing portable fluorescent instrument with X ray excited by tube

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
张怀强: "数字核谱仪***中关键技术的研究", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 *
肖无云等: "多道脉冲幅度分析中的数字基线估计方法", 《核电子学与探测技术》 *
肖无云等: "数字化多道脉冲幅度分析技术研究", 《核技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105099397A (en) * 2015-05-22 2015-11-25 深圳迈瑞生物医疗电子股份有限公司 Baseline reply method, device and medical testing equipment
CN105099397B (en) * 2015-05-22 2020-10-13 深圳迈瑞生物医疗电子股份有限公司 Baseline replying method and device and medical detection equipment

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Application publication date: 20140326