CN111861944A - Nuclide energy spectrum peak searching method based on multi-structure element morphology - Google Patents
Nuclide energy spectrum peak searching method based on multi-structure element morphology Download PDFInfo
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- 238000001228 spectrum Methods 0.000 title claims abstract description 121
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- 238000005260 corrosion Methods 0.000 claims abstract description 5
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- 239000011159 matrix material Substances 0.000 claims description 20
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- 238000007781 pre-processing Methods 0.000 claims description 3
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- 230000000877 morphologic effect Effects 0.000 description 9
- GUTLYIVDDKVIGB-OUBTZVSYSA-N Cobalt-60 Chemical compound [60Co] GUTLYIVDDKVIGB-OUBTZVSYSA-N 0.000 description 6
- 239000002699 waste material Substances 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000010183 spectrum analysis Methods 0.000 description 2
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- 230000003628 erosive effect Effects 0.000 description 1
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Abstract
The invention discloses a nuclide energy spectrum peak searching method based on multi-structure element morphology, which comprises the steps of collecting nuclide detection data as original nuclide energy spectrum data, carrying out pretreatment such as screening effective information and smoothing on the original nuclide energy spectrum data, selecting four flat structure elements with the same size and different directions to carry out morphological change treatment of corrosion expansion on the pretreated energy spectrum data, carrying out difference on the energy spectrum data subjected to morphological change treatment and the pretreated energy spectrum data, and finally realizing nuclide peak searching after stripping and eliminating false peaks through difference energy spectrum, wherein the accuracy is high. By selecting flat structural elements with the included angles of 0 degree, 45 degrees, 90 degrees and 135 degrees with the horizontal direction, the control of different trends of the curve can be more careful, the energy spectrum peak positioning accuracy of the method is higher, the peak information is not easy to lose, and the peak information can be better identified so as to determine the peak position.
Description
Technical Field
The invention relates to the fields of nuclide identification and energy spectrum analysis, in particular to a nuclide energy spectrum peak searching method based on multi-structure element morphology.
Background
With the vigorous development of nuclear energy industry in nuclear power, nuclear weapons, medicine, industrial and agricultural departments and the like, tens of thousands of cubic meters of low and medium-level radioactive wastes are accumulated. While enjoying the convenience of nuclear power technology, one very troublesome problem has to be faced-disposal of nuclear waste. In order to enable smooth deployment of nuclear waste disposal, it is important to identify the pheromone in the previous nuclear waste bin. In the process of measuring the energy spectrum of the radionuclide and analyzing nuclear data, all nuclides contained in a barrel cannot be accurately measured due to unavoidable interference caused by the qualitative law analysis of the energy spectrum by statistical fluctuation and environmental noise.
Researchers have proposed a nuclide energy spectrum peak-finding algorithm based on morphological transformation, which can find out a characteristic nuclide peak by using a single line segment structural element. However, in actual operation, the method still cannot well grasp details of different trends of a spectrum curve, and the determination of the peak position is not accurate enough for identifying the peak information.
In view of the above, the details of different trends of the energy spectrum curve are well grasped, the peak searching capability is improved, and the peak position is determined by more accurately identifying the peak information.
Disclosure of Invention
The invention aims to provide a nuclide energy spectrum peak searching method based on multi-structure element morphology, which breaks the original thought constraint, replaces the energy spectrum peak searching method with the nuclide energy spectrum peak searching method based on multi-structure element morphology, and can perform morphological transformation on energy spectrum data by selecting four flat structure elements with the same size and different directions, so that the control can be more careful in different directions of curves, peak positions can be determined by better identifying peak information, and the peak searching accuracy is improved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a nuclide energy spectrum peak searching method based on multi-structure element morphology is characterized by comprising the following steps:
step 01, collecting original nuclide energy spectrum data;
step 02, preprocessing original nuclide energy spectrum data;
step 03, determining a peak boundary through multi-structure element morphology;
and 04, inputting the peak boundary into the nuclide energy spectrum preprocessed in the step 02 to finish peak searching.
Further, step 03 comprises the steps of:
step 3.1, performing morphological transformation on the nuclide energy spectrum preprocessed in the step 02;
step 3.2, subtracting the energy spectrum data obtained in the step 02 from the nuclide energy spectrum data obtained in the step 3.1 to obtain difference energy spectrum data;
and 3.3, determining the peak boundary according to the difference energy spectrum data.
Further, step 3.1 comprises the steps of:
step 3.1.1, selecting four flat structural elements with the same size and different directions, wherein included angles between the structural elements and the horizontal direction are respectively 0 degree, 45 degrees, 90 degrees and 135 degrees; wherein, the middle point of the structural element is the origin;
and 3.1.2, according to the selected structural elements, performing corrosion operation processing and then performing expansion operation processing on the nuclide energy spectrum data preprocessed in the step 02, thereby completing the whole opening operation.
Further, step 3.3 comprises the steps of:
step 3.3.1, carrying out peak stripping on the difference energy spectrum data to obtain a discrete peak spectrum with a plurality of discrete peaks;
step 3.3.2, setting the peak width W for subsequent true peak discrimination;
step 3.3.3, comparing the discrete peaks in the step 3.3.1 with W, and setting all the discrete peaks with the width smaller than W to be 0 to obtain a continuous true peak spectrogram;
step 3.3.4, searching the maximum counting point of each peak in the continuous true peak spectrum, wherein the address corresponding to the maximum counting is the address of the peak position;
step 3.3.5, setting all intervals of the part 0 in the true peak spectrogram to be 1 to obtain a new spectrum data matrix only containing 0 and 1;
3.3.6, performing difference on adjacent data in the new spectrum data matrix to obtain a new matrix only containing-1, 0 and 1;
step 3.3.7, according to the new matrix, determining the addresses of the first point of the left end of each peak which starts to rise from the horizontal line and the first point of the right end which falls to the horizontal line;
and step 3.3.8, calculating the peak position of each peak according to the left end address and the right end address of each peak obtained in the step 12.
Further, the true peaks in step 3.3.3 are: rPi＝{Pi|LPi> W }; wherein R isPiIs a true peak, LPiThe peak width of each peak is shown, and W is the set peak width.
Further, the address corresponding to the maximum count of the true peak is the address of the peak, that is:
wherein, PCiRepresents the peak position, max (Count)i) Indicating the maximum count.
Further, the new spectral data matrix is:
further, the new matrix is:
furthermore, the first point of the left end of the peak rising from the horizontal line has a track address LindilThe address of the point where the first point at the right end of the peak falls down to the horizontal line is RindilWherein, in the step (A),
Lindi1i＝{Chi|Pdatai＝1}
Rindi1i＝{Chi|Pdatai＝-1}。
further, the peak positions are: l isbi＝Pci-(Rindil-Lindil)/2，Rbi＝Pci+(Rindil-Lindil) /2 wherein LbiThe left boundary of the peak corresponds to the address, RbiThe address corresponding to the right boundary of the peak.
Compared with the prior art, the invention has the following beneficial effects:
(1) the nuclide energy spectrum peak searching method based on multi-structure element morphology comprises the steps of collecting nuclide detection data as an original energy spectrum, carrying out pretreatment such as effective information screening and smoothing on the original energy spectrum, selecting flat structure elements with the same size and different directions to carry out morphological change treatment on the pretreated energy spectrum, carrying out difference on the pretreated energy spectrum data, and finally realizing nuclide peak searching after stripping and eliminating false peaks on the difference energy spectrum, wherein the accuracy is high.
(2) According to the method, the flat structural elements with the included angles of 0 degree, 45 degrees, 90 degrees and 135 degrees with the horizontal direction are selected, so that the control of different trends of the curve can be more careful, the method has higher accuracy in positioning the spectrum peak, the peak information is not easy to lose, and the peak information can be better identified so as to determine the peak position.
(3) In the invention, all discrete peaks with the width smaller than W are set to be 0, so as to obtain a continuous true peak spectrogram. And (4) setting all the regions which are not 0 in the continuous true peak spectrogram to be 1 to obtain a new spectrum data matrix only containing 0 and 1. And (4) subtracting adjacent data in the new spectrum data matrix to obtain a new matrix only containing-1, 0 and 1 so as to quickly judge the peak boundary information. In the prior art, the determination of the peak position and the peak boundary has no fixed method, and has large calculation amount and very long time. The algorithm provided by the invention searches the peak position and the peak boundary, adopts a set of continuous and perfect method, and has simple calculation process due to the fact that the data are simple numbers such as 0, 1 and-1, and the peak searching is faster and more accurate.
Drawings
Fig. 1 shows four structural elements in different directions according to an embodiment of the present invention.
Fig. 2 is a flowchart of a peak searching method according to an embodiment of the present invention.
FIG. 3 is a diagram of an original nuclide energy spectrum and a pretreated nuclide energy spectrum according to an embodiment of the present invention.
Fig. 4 is a power spectrum diagram after the morphological change processing provided by the embodiment of the invention.
Fig. 5 is a difference spectrum of the energy spectrum of the pretreated nuclide and the energy spectrum of the morphological change treatment provided by the embodiment of the present invention.
Fig. 6 is a discrete peak spectrum after peak stripping provided by the embodiment of the invention.
FIG. 7 is a chart of the true peak obtained by comparing W with that provided in the example of the present invention.
Fig. 8 is a peak finding diagram provided by the embodiment of the present invention.
FIG. 9 is a peak finding diagram of the morphological method of actually measured cobalt-60 spectrum multi-structural elements.
FIG. 10 is a peak finding diagram of the conventional morphological method of the actually measured cobalt-60 spectrum.
FIG. 11 is a peak finding diagram of a multi-structural element morphology method simulating a cobalt-60 spectrum.
FIG. 12 is a graph of the peak finding of the energy spectrum of the conventional morphological method for simulating the cobalt-60 spectrum.
Detailed Description
The present invention is further illustrated by the following figures and examples, which include, but are not limited to, the following examples.
Referring to fig. 1 to 8, a nuclide energy spectrum peak-finding method based on multi-structure element morphology includes the following steps:
step 01, acquiring original nuclide energy spectrum data, including determining an energy spectrum channel address and detection time.
And step 02, preprocessing the original nuclide energy spectrum data, including screening energy spectrum effective information and smoothing and denoising, and reducing the influence of statistical fluctuation on the subsequent analysis of the energy spectrum.
And 03, selecting four flat structural elements with the same size and different directions, wherein included angles between the structural elements and the horizontal direction are respectively 0 degree, 45 degrees, 90 degrees and 135 degrees. The middle point of the structural element is an origin, the size of the structural element has a main influence on the peak searching of the spectrum in the accuracy of spectrum analysis, the smaller the size is, the higher the resolution is, the more the number of searched peaks is, and conversely, the coarser the peak searching process is, the fewer the number of searched peaks is. In the peak searching method based on the auspicious science in the prior art, a line segment type structural element is adopted, so that the conditions of incomplete peak searching and low accuracy of a complex energy spectrum are caused.
And 04, performing morphological transformation on the nuclide energy spectrum data preprocessed in the step 02 according to the selected structural elements. The specific morphological transformation includes erosion and dilation operations to complete the entire opening operation.
The operational formula of corrosion is as follows:
the operational formula of the expansion is as follows:
wherein, A is a preprocessed energy spectrum data set, and B is a structural element.
And step 05, subtracting the energy spectrum data obtained after the pretreatment and the nuclide energy spectrum data obtained in the step 04 to obtain difference energy spectrum data, wherein in the nuclear energy spectrum, the influence of local noise with large count on the difference energy spectrum data is small, and when the count on a certain address is large enough, a peak is formed. The difference is made between the preprocessed energy spectrum and the energy spectrum processed by the opening operation to obtain a noise spectrum diagram related to the energy spectrum, and then a true peak can be better screened out in the noise spectrum diagram according to the set peak width.
And 06, setting all data points smaller than 0 in the difference energy spectrum as null values, thereby carrying out peak stripping to obtain a discrete peak spectrum with a plurality of discrete peaks. And setting data points smaller than 0 in the difference energy spectrum as null values, so that false peaks can be removed conveniently, and the data can be set as 0.
And step 07, setting the peak width W for subsequent true peak discrimination. In the peak spectrogram, whether the peak is a true peak or a false peak is determined, and the most rapid method is to set the peak width (threshold).
Step 08, comparing the discrete peak in the step 06 with W, and expressing the peak information as: pi(Chi，Counti) Wherein Ch is the channel address and Count is the Count. And then setting all discrete peaks with the width smaller than W to be 0 to obtain a continuous true peak spectrogram. And the discrete peaks with the width smaller than W are all set to be 0, so that the divided discrete spectra can be conveniently recombined into a continuous spectrum, and the search interval can be more quickly divided when the maximum count value of the peak is searched subsequently, so that the calculation is more convenient and quicker in the subsequent processing. The true peak is: rPi＝{Pi|LPi> W }, wherein R isPiIs a true peak, LPiThe peak width of each peak is shown, and W is the set peak width.
Step 11, making difference between adjacent data in the new spectrum data matrix to obtain a new matrix only containing-1 and 1,
that is, the peak starts to rise at 1, the peak interval is 0, and the peak falls to the horizontal position at-1. Therefore, the peak boundary information can be judged more quickly, and the subsequent calculation is facilitated. In the prior art, the determination of the peak position and the peak boundary has no fixed method, and has large calculation amount and very long time. The algorithm provided by the invention searches the peak position and the peak boundary, adopts a set of continuous perfect method, and starts from the beginning because the data are simple numbers such as 0, 1 and-1And the calculation process is simple, so that the peak searching is faster and more accurate.
Step 12, according to the new matrix, determining the address L of the first point of the left end of each peak which starts to rise from the horizontal lineindilAnd the address R of the point where the right end first falls down to the horizontal lineindil. Wherein the content of the first and second substances,
Lindi1i＝{Chi|Pdatai＝1}
Rindi1i＝{Chi|Pdatni＝-1}
step 13, calculating the peak position of each peak according to the left end channel address and the right end channel address of each peak obtained in the step 12, wherein the peak position is as follows: l isbi＝Pci-(Rindil-Lindil)/2，Rbi＝Pci+(Rindil-Lindil) /2 wherein LbiThe left boundary of the peak corresponds to the address, RbiThe address corresponding to the right boundary of the peak.
And step 14, inputting the peak position in the step 13 into the energy spectrum data obtained in the step 02 to finish peak searching.
Referring to fig. 9 and 10, actually measured cobalt-60 spectra, peak finding images obtained by the multi-structural element morphological method of the present invention and peak finding images obtained by the traditional morphological method, the peak finding images obtained by the method of the present invention find peaks around a street address of 400, while the traditional morphological method loses the peak information, so the method has higher peak finding accuracy, more careful control on the trend of the spectral curve, and less possibility of losing the peak information.
Referring to fig. 11 and 12, in the simulated cobalt-60 spectrum, the peak searching diagram obtained by the multi-structural-element morphological method of the present invention finds a peak around a track address of 50, and how the peak information is lost by the conventional morphological method, it is easy to see that the multi-structural-element morphological method of the present invention has higher peak searching accuracy, more careful control of the trend of the spectrum curve, and thus the peak information is not easy to lose.
The nuclide energy spectrum peak searching method based on multi-structure element morphology comprises the steps of collecting nuclide detection data as original energy spectrum data, carrying out pretreatment such as screening effective information and smoothing on the original energy spectrum data, selecting four flat structure elements with different sizes and different directions to carry out open operation processing of corrosion expansion on the pretreated energy spectrum, carrying out subtraction on the preprocessed energy spectrum data, solving parameters according to a formula after peak stripping and false rejection of a difference energy spectrum, and finally realizing nuclide peak searching. By selecting flat structural elements with the included angles of 0 degrees, 45 degrees, 90 degrees and 135 degrees with the horizontal direction, people can be more careful about different trends of a spectrum curve, the method has more accurate positioning on a spectrum peak, peak information is not easy to lose, and the peak information can be better identified so as to determine the peak position. Compared with the traditional determination of the peak position and the peak boundary, the method greatly simplifies the calculation amount and the calculation difficulty.
The above embodiments are only preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, but all changes that can be made by applying the principles of the present invention and performing non-inventive work on the basis of the principles shall fall within the scope of the present invention.
Claims (10)
1. A nuclide energy spectrum peak searching method based on multi-structure element morphology is characterized by comprising the following steps:
step 01, collecting original nuclide energy spectrum data;
step 02, preprocessing original nuclide energy spectrum data;
step 03, determining a peak boundary through multi-structure element morphology;
and 04, inputting the peak boundary into the nuclide energy spectrum preprocessed in the step 02 to finish peak searching.
2. A nuclide energy spectrum peak-finding method based on multi-structure element morphology, as claimed in claim 1, wherein said step 03 comprises the steps of:
step 3.1, performing morphological transformation on the nuclide energy spectrum preprocessed in the step 02;
step 3.2, subtracting the energy spectrum data obtained in the step 02 from the nuclide energy spectrum data obtained in the step 3.1 to obtain difference energy spectrum data;
and 3.3, determining the peak boundary according to the difference energy spectrum data.
3. A nuclide energy spectrum peak finding method based on multi-structure element morphology, as claimed in claim 2, wherein said step 3.1 comprises the steps of:
step 3.1.1, selecting four flat structural elements with the same size and different directions, wherein included angles between the structural elements and the horizontal direction are respectively 0 degree, 45 degrees, 90 degrees and 135 degrees; wherein, the middle point of the structural element is the origin;
and 3.1.2, according to the selected structural elements, performing corrosion operation processing and then performing expansion operation processing on the nuclide energy spectrum data preprocessed in the step 02, thereby completing the whole opening operation.
4. A nuclide energy spectrum peak finding method based on multi-structure element morphology, as claimed in claim 3, wherein said step 3.3 comprises the steps of:
step 3.3.1, carrying out peak stripping on the difference energy spectrum data to obtain a discrete peak spectrum with a plurality of discrete peaks;
step 3.3.2, setting the peak width W for subsequent true peak discrimination;
step 3.3.3, comparing the discrete peaks in the step 3.3.1 with W, and setting all the discrete peaks with the width smaller than W to be 0 to obtain a continuous true peak spectrogram;
step 3.3.4, searching the maximum counting point of each peak in the continuous true peak spectrum, wherein the address corresponding to the maximum counting is the address of the peak position;
step 3.3.5, setting all the regions which are not 0 in the continuous true peak spectrogram to be 1 to obtain a new spectrum data matrix only containing 0 and 1;
3.3.6, performing difference on adjacent data in the new spectrum data matrix to obtain a new matrix only containing-1, 0 and 1;
step 3.3.7, according to the new matrix, determining the addresses of the first point of the left end of each peak which starts to rise from the horizontal line and the first point of the right end which falls to the horizontal line;
and step 3.3.8, calculating the peak position of each peak according to the left end address and the right end address of each peak obtained in the step 12.
5. The nuclide energy spectrum peak finding method based on multi-structure element morphology, as claimed in claim 4, wherein the true peak in step 3.3.3 is: rPi＝{Pi|LPi＞W}
Wherein R isPiIs a true peak, LPiThe peak width of each peak is shown, and W is the set peak width.
6. The nuclide energy spectrum peak finding method based on multistructure element morphology, as claimed in claim 5, wherein the addresses corresponding to the maximum counts of the true peaks are addresses of peaks, that is:
wherein, PCiRepresents the peak position, max (Count)i) Indicating the maximum count.
7. The nuclide energy spectrum peak-finding method based on multi-structure element morphology, as claimed in claim 6, wherein the new spectral data matrix is:
8. the nuclide energy spectrum peak-finding method based on multi-structure element morphology, as claimed in claim 7, wherein the new matrix is:
9. a multi-structural element based morphology according to claim 8The nuclide energy spectrum peak searching method for science is characterized in that the first point at the left end of the peak, which starts to rise from the horizontal line, has a track address LindilThe address of the point where the first point at the right end of the peak falls down to the horizontal line is RindilWherein, in the step (A),
Lindi1i＝{Chi|P′datai＝1}
Rindi1i＝{Chi|P′datai＝-1}。
10. the nuclide energy spectrum peak-finding method based on multistructure element morphology, as claimed in claim 9, wherein the peak positions are:
Lbi＝Pci-(RindilLindil)/2
Rbi＝Pci+(Rindil-Lindil)/2
wherein L isbiThe left boundary of the peak corresponds to the address, RbiThe address corresponding to the right boundary of the peak.
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