CN114859397A - Neutron activation energy spectrum processing method, device, equipment and medium - Google Patents

Neutron activation energy spectrum processing method, device, equipment and medium Download PDF

Info

Publication number
CN114859397A
CN114859397A CN202210262863.0A CN202210262863A CN114859397A CN 114859397 A CN114859397 A CN 114859397A CN 202210262863 A CN202210262863 A CN 202210262863A CN 114859397 A CN114859397 A CN 114859397A
Authority
CN
China
Prior art keywords
data
original
standard
spectrum
acquisition time
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202210262863.0A
Other languages
Chinese (zh)
Other versions
CN114859397B (en
Inventor
刘世胜
杏兴彪
段连飞
吴华峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hefei Gstar Intelligent Control Technical Co Ltd
Original Assignee
Hefei Gstar Intelligent Control Technical Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hefei Gstar Intelligent Control Technical Co Ltd filed Critical Hefei Gstar Intelligent Control Technical Co Ltd
Priority to CN202210262863.0A priority Critical patent/CN114859397B/en
Publication of CN114859397A publication Critical patent/CN114859397A/en
Application granted granted Critical
Publication of CN114859397B publication Critical patent/CN114859397B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01TMEASUREMENT OF NUCLEAR OR X-RADIATION
    • G01T3/00Measuring neutron radiation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin
    • Y02E30/30Nuclear fission reactors

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Molecular Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Measurement Of Radiation (AREA)

Abstract

The invention provides a processing method of neutron activation energy spectrum, which comprises the following steps: acquiring original energy spectrum data, wherein the original energy spectrum data comprises original address data, original acquisition time data, original neutron flux data and original characteristic peak data; obtaining standard address data according to the original address data; obtaining standard acquisition time data according to the original acquisition time data; obtaining standard neutron flux data according to the original neutron flux data; obtaining standard spectrum peak shift data according to the original characteristic peak data; and obtaining standard energy spectrum data according to the standard address data, the standard acquisition time data, the standard neutron flux data and the standard spectrum peak shift data. By the neutron activation energy spectrum processing method, energy spectrum data can be standardized before neutron activation analysis and quantitative calculation.

Description

Neutron activation energy spectrum processing method, device, equipment and medium
Technical Field
The invention relates to the technical field of neutron activation, in particular to a method, a device, equipment and a medium for processing a neutron activation energy spectrum.
Background
When the energy spectrum of neutron activation is processed, under different measurement scenes, the obtained energy spectrum may have the situations of non-uniform channel address number, different acquisition times, different neutron source intensities, spectrum peak drift and the like, so that the obtained energy spectrum data cannot be subjected to spectrum solution calculation directly or the data error after spectrum solution is large. Therefore, there is a need for improved techniques for energy spectrum processing for neutron activation.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide a method for processing energy spectrum of neutron activation, which enables normalization of energy spectrum data before performing quantitative calculation of neutron activation analysis.
To achieve the above and other related objects, the present invention provides a method for processing neutron-activated energy spectrum, comprising the steps of:
acquiring original energy spectrum data, wherein the original energy spectrum data comprises original address data, original acquisition time data, original neutron flux data and original characteristic peak data;
obtaining standard address data according to the original address data;
obtaining standard acquisition time data according to the original acquisition time data;
obtaining standard neutron flux data according to the original neutron flux data;
obtaining standard spectrum peak shift data according to the original characteristic peak data;
and obtaining standard energy spectrum data according to the standard address data, the standard acquisition time data, the standard neutron flux data and the standard spectrum peak shift data.
In an embodiment of the present invention, the step of obtaining the standard address data according to the original address data includes:
comparing the quantity of the original address data with the preset address quantity;
when the number of the original address data is smaller than the preset number of addresses, performing interpolation processing on the original address data to obtain the standard address data;
when the number of the original address data is equal to the preset number of addresses, the original address data is the standard address data;
and when the number of the original address data is larger than the preset number of addresses, sampling the original address data to obtain the standard address data.
In an embodiment of the present invention, the step of obtaining standard acquisition time data according to the original acquisition time data includes:
comparing the original acquisition time data with preset time data;
when the original acquisition time data is smaller than the preset time data, expanding the original acquisition time data according to a proportion to obtain standard acquisition time data;
when the original acquisition time data is equal to the preset time data, the original acquisition time data is the standard acquisition time data;
and when the original acquisition time data is larger than the preset time data, compressing the original acquisition time data according to a proportion to obtain standard acquisition time data.
In an embodiment of the present invention, the step of obtaining the standard neutron flux data according to the original neutron flux data includes:
acquiring the original neutron flux data, wherein the original neutron flux data comprises a component-fixed element peak, a count of an energy spectrum and the intensity of a neutron source, and the component-fixed element peak comprises a hydrogen element peak and an oxygen element peak;
and correcting the intensity of the neutron source according to the element peak with fixed components or the counting of the energy spectrum to obtain standard neutron flux data.
In an embodiment of the present invention, the standard neutron flux data b i Is shown as b i =a i A is a i Is the count of the ith trace of the spectrum, and I is the intensity of the corresponding neutron source during the measurement spectrum.
In an embodiment of the present invention, the step of obtaining standard spectrum peak shift data according to the original characteristic peak data includes:
dividing an energy spectrum area according to an original characteristic peak in the original energy spectrum data;
carrying out peak searching processing in the energy spectrum region to obtain N peaks;
dividing the energy spectrum region into N +1 subareas according to the N peaks;
presetting a standard spectrum, and aligning the N +1 sub-regions with the spectrum peak position of the standard spectrum respectively in an interpolation mode to obtain the standard spectrum peak shift data.
In an embodiment of the present invention, the energy y of the ray in the standard spectrum is represented as: y = a x 2 + b x + c, where x represents the energy spectrum site and a, b, c represent the fitting constants.
The invention also provides a processing device of neutron activation energy spectrum, comprising:
the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring original energy spectrum data, and the original energy spectrum data comprises original address data, original acquisition time data, original neutron flux data and original characteristic peak data;
the address data processing module is used for obtaining standard address data according to the original address data;
the acquisition time data processing module is used for obtaining standard acquisition time data according to the original acquisition time data;
the neutron flux data processing module is used for obtaining standard neutron flux data according to the original neutron flux data;
the characteristic peak data processing module is used for obtaining standard spectrum peak shift data according to the original characteristic peak data; and
and the standard energy spectrum data processing module is used for obtaining standard energy spectrum data according to the standard address data, the standard acquisition time data, the standard neutron flux data and the standard spectrum peak shift data.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method for processing neutron-activated energy spectrum when executing the computer program.
The invention also provides a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for processing energy spectra for neutron activation.
As described above, the present invention provides a method, an apparatus, a device, and a medium for processing a neutron activation energy spectrum, which can adjust data such as the number of addresses, the acquisition time, the neutron source intensity, and the spectrum peak shift in an obtained γ energy spectrum, so that the obtained energy spectrum data is relatively accurate, the data error after spectrum solution is relatively small, and the energy spectrum data can be standardized before performing a neutron activation analysis and quantitative calculation.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method of processing neutron-activated spectra in accordance with the present invention.
Fig. 2 is a flow chart illustrating the sub-steps of step S20 in the method for processing energy spectrum of neutron activation according to the present invention.
Fig. 3 is a flow chart illustrating the sub-steps of step S30 in the method for processing energy spectrum of neutron activation according to the present invention.
Fig. 4 is a flow chart illustrating the sub-steps of step S40 in the method for processing energy spectrum of neutron activation according to the present invention.
Fig. 5 is a flow chart showing sub-steps of another mode of step S40 in the method for processing neutron-activated energy spectrum according to the present invention.
Fig. 6 is a flow chart illustrating the sub-steps of step S50 in the method for processing energy spectrum of neutron activation according to the present invention.
Fig. 7 is a flow chart illustrating sub-steps of another mode of step S50 in a processing method of neutron-activated energy spectrum according to the present invention.
Fig. 8 is a schematic diagram of a neutron activation spectrum processing apparatus of the present invention.
Fig. 9 is a schematic diagram of an address data processing module in the neutron activation energy spectrum processing device according to the present invention.
Fig. 10 is a schematic diagram of an acquisition time data processing module in the neutron activation spectrum processing device according to the present invention.
Fig. 11 is a schematic diagram of a neutron flux data processing module in the neutron activation spectrum processing device according to the invention.
Fig. 12 is a schematic diagram of a characteristic peak data processing module in the neutron activation energy spectrum processing device according to the invention.
FIG. 13 is a diagram illustrating a processor and a memory in an electronic device according to the present invention.
Fig. 14 is a schematic diagram of a storage medium in a computer-readable storage medium according to the present invention.
Element number description:
10. a data acquisition module; 20. a road address data processing module; 21. a track address data comparison module; 22. a road address data analysis module; 30. a collection time data processing module; 31. a collection time comparison module; 32. a collection time analysis module; 40. a neutron flux data processing module; 41. an original neutron flux data acquisition module; 42. a standard neutron flux data processing module; 50. a characteristic peak data processing module; 51. a standard spectrum acquisition module; 52. a standard energy spectrum channel address data processing module; 53. a processing characteristic peak data processing module; 60. a standard energy spectrum data processing module; 70. a processor; 80. a memory; 90. a computer program; 100. a storage medium.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a processing method of neutron activation spectrum, which includes step S10, obtaining raw spectrum data, where the raw spectrum data includes raw address data, raw acquisition time data, raw neutron flux data, and raw characteristic peak data.
And step S20, obtaining standard address data according to the original address data.
And step S30, obtaining standard acquisition time data according to the original acquisition time data.
And step S40, obtaining standard neutron flux data according to the original neutron flux data.
And step S50, obtaining standard spectrum peak shift data according to the original characteristic peak data.
And step S60, obtaining standard energy spectrum data according to the standard address data, the standard acquisition time data, the standard neutron flux data and the standard spectrum peak shift data.
In one embodiment of the present invention, when step S10 is performed, raw energy spectrum data is obtained, wherein the raw energy spectrum data includes raw track address data, raw acquisition time data, raw neutron flux data, and raw characteristic peak data. Specifically, the neutron activation Prompt gamma ray analysis technology (PGNAA for short) is a non-contact, large-sample-size, rapid and on-line multi-element analysis technology. The principle of neutron activation prompt gamma ray analysis technology is that neutrons emitted by a neutron source are moderated and then have capture reaction or inelastic scattering reaction with a measured material, so that characteristic gamma rays are generated. The energy of the generated characteristic gamma rays is related to the element type of the measured substance, and the quantity of the characteristic gamma rays is related to the content of the element. So that the data of the characteristic gamma rays can be detected to obtain corresponding original energy spectrum data.
In an embodiment of the present invention, when step S10 is executed, specifically, there may be situations such as non-uniform channel number, different acquisition times, different neutron source intensities, and spectrum peak drift in the obtained original energy spectrum data under different test scenarios. For example, due to the fact that the functional relationship between the gamma energy and the track address changes correspondingly due to the fluctuation of the ambient temperature or the high voltage, for example, the 1000 th channel of different energy spectrums corresponds to different gamma ray energies, and the like, the original track address data, the original acquisition time data, the original neutron flux data, and the original characteristic peak data can be processed to obtain standard energy spectrum data, so that the standard energy spectrum data can be subjected to spectrum decomposition processing subsequently.
Referring to fig. 2, in one embodiment of the present invention, when step S20 is executed, the standard address data is obtained according to the original address data. The sub-step of step S20 may include:
step S201, comparing the number of the original address data with a preset number of addresses.
Step S202, when the number of the original address data is smaller than the preset number of addresses, performing interpolation processing on the original address data until the number of the interpolated data is the same as the preset number of addresses, and obtaining the standard address data.
Step S203, when the number of the original address data is equal to the preset number of addresses, the original address data is the standard address data.
Step S204, when the number of the original address data is larger than the preset number of addresses, sampling the original address data until the number of the sampled data is the same as the preset number of addresses, and obtaining the standard address data.
In an embodiment of the present invention, when step S20 is executed, the raw address data may be, in particular, energy spectrum address data of γ -rays obtained under different measurement scenarios. Since the number of original address data may be 256, 512, 1024, 2048, etc. It is therefore necessary to unify the number of original address data to the same number so that it can be accurately processed at a later stage. In this embodiment, a preset number of addresses may be preset, and the preset number of addresses may be 512 or 1024. The number of original address data may be compared with a predetermined number of addresses. And when the number of the original address data is less than the preset number of addresses, performing interpolation processing on the original addresses until the number of the data after interpolation is the same as the preset number of addresses. And when the number of the original address data is larger than the number of the preset addresses, sampling the original addresses until the number of the sampled data is the same as the number of the preset addresses. Therefore, when the original address data is processed and the number of the data is the same as the number of the preset addresses, the standard address data can be obtained.
In an embodiment of the present invention, specifically, when performing interpolation processing, for example, when the number of original address data is 512 and the number of preset addresses is 1024, a new data may be inserted into every two data in the original address data, and a data may be added after the first or last data, so that the number of data may be changed to 1024. In the sampling process, for example, when the number of original address data is 2048 and the number of preset addresses is 1024, the number of data can be changed to 1024 by extracting one data at intervals from the original address data.
Referring to fig. 3, in an embodiment of the invention, when step S30 is executed, the standard acquisition time data is obtained according to the raw acquisition time data. The sub-step of step S30 may include:
and S301, comparing the size between the original acquisition time data and preset time data.
Step S302, when the original acquisition time data is smaller than the preset time data, the original acquisition time data is expanded according to a proportion until the expanded time is the same as the preset time data, and standard acquisition time data is obtained.
Step S303, when the original acquisition time data is equal to the preset time data, the original acquisition time data is the standard acquisition time data.
And S304, when the original acquisition time data is greater than the preset time data, compressing the original acquisition time data according to a proportion until the compressed time is the same as the preset time data, and obtaining standard acquisition time data.
In one embodiment of the present invention, when step S30 is executed, in particular, the raw acquisition time data may be data of the length of the acquired energy spectrum signal time for different application scenarios or different signal strengths. The acquisition time of the characteristic gamma rays with particularly strong signals is generally short, such as 1min, 5min and the like, while the acquisition time of the signals with particularly weak signals is longer to obtain a better signal-to-noise ratio, such as 20min, 60min and the like. Therefore, the time length of the original acquisition time data needs to be unified into the same data so that the data can be accurately processed at a later stage.
In an embodiment of the present invention, a preset time data may be preset, and the preset time data may be 10min or 20 min. By comparing the raw acquisition time data with the preset time data. And when the original acquisition time data is smaller than the preset time data, expanding the original acquisition time data according to a proportion until the expanded time is the same as the preset time data to obtain standard acquisition time data. And when the original acquisition time data is greater than the preset time data, compressing the original acquisition time data according to a proportion until the compressed time is the same as the preset time data to obtain standard acquisition time data. When the processing is carried out, the preset time data can be set to be 10min, so that when the original acquisition time data is 5min, the original acquisition time data can be expanded according to the proportion, and the intensity of the data is improved according to the proportion so as to be expanded to be 10 min. When the original acquisition time data is 20min, the original acquisition time data can be compressed in proportion, and the intensity of the data is compressed in proportion to make the data compressed for 10 min.
Referring to fig. 4, in an embodiment of the invention, when step S40 is executed, standard neutron flux data is obtained according to the raw neutron flux data. The sub-step of step S40 may include:
step S401, obtaining the original neutron flux data, wherein the original neutron flux data comprises the counting of an energy spectrum and the intensity of a neutron source.
Step S402, obtaining standard neutron flux data b according to the counting of the energy spectrum and the intensity of the neutron source i Is shown as b i =a i A is a i The number of the ith trace of the spectrum is counted, and I is the corresponding neutron source intensity during the measurement of the spectrum. Referring to fig. 5, in an embodiment of the invention, when step S40 is executed, standard neutron flux data is obtained according to the raw neutron flux data. This step may also be implemented in other ways, i.e. the sub-step of step S40 may also include:
and step S41, acquiring the original neutron flux data, wherein the original neutron flux data comprises an element peak with fixed components, the counting of an energy spectrum and the intensity of a neutron source, and the element peak with fixed components comprises a hydrogen element peak and an oxygen element peak.
And step S42, correcting the intensity of the neutron source according to the element peak with fixed components or the counting of the energy spectrum to obtain standard neutron flux data.
In one embodiment of the present invention, when step S40 is executed, the number of neutrons emitted at the same time may be different due to the instability of the neutron source, thereby causing the counting fluctuation of the characteristic gamma energy spectrum, i.e. causing a certain error in the quantitative calculation of neutron activation analysis. Therefore, the neutron flux needs to be unified, that is, when the gamma-ray energy spectrum is measured, the intensity fluctuation of the neutron source is monitored at the same time, and the gamma-ray energy spectrum obtained by the gamma-ray detector is normalized relative to the intensity of the neutron source to obtain standard neutron flux data. Alternatively, when step S40 is implemented in another way, the element peak with unchanged composition may be used as a correction parameter for the intensity of the neutron source, such as a hydrogen element peak, an oxygen element peak, etc., or the count of the collected energy spectrum may be used as a parameter for correcting the intensity of the neutron source, so as to obtain the corresponding standard neutron flux data.
Referring to fig. 6, in one embodiment of the present invention, when step S50 is executed, standard spectral peak shift data is obtained according to the original characteristic peak data. The sub-step of step S50 may include:
step S501, a standard spectrum is preset, and the energy y of rays in the standard spectrum is represented as: y = a x 2 + b x + c, where x represents the energy spectrum site and a, b, c represent the fitting constants.
Step S502, according to the characteristic peak data in the standard spectrum, establishing a corresponding relation between the ray energy and the road address, and characterizing the corresponding relation as a first corresponding relation.
Step S503, establishing a corresponding relation between the ray energy of the energy spectrum and the road address according to the original characteristic peak in the original energy spectrum data, wherein the corresponding relation is characterized as a second corresponding relation.
And step S504, obtaining the standard spectrum peak shift data according to the first corresponding relation and the second corresponding relation.
Referring to fig. 7, in one embodiment of the present invention, when step S50 is executed, standard spectral peak shift data is obtained according to the original characteristic peak data. This step may also be implemented in other ways, that is, the sub-step of step S50 may also include:
and step S51, dividing an energy spectrum area according to the original characteristic peak in the original energy spectrum data.
And step S52, performing peak searching processing in the energy spectrum region to obtain N peaks.
And step S53, dividing the energy spectrum region into N +1 sub regions according to the N peaks.
And step S54, presetting a standard spectrum, and aligning the N +1 sub-regions with the spectrum peak position of the standard spectrum respectively in an interpolation mode to obtain the standard spectrum peak shift data.
In one embodiment of the present invention, when step S50 is performed, the signals measured by the gamma ray detector are converted into gamma energy spectra by a multichannel spectrometer. There is a non-linear relationship between the energy spectrum trace data of the gamma energy spectrum and the energy of the gamma ray, i.e. y = a x 2 + b x + c, where y is the energy of the gamma ray and x is the energy spectrum site. Gamma detectionThe response of the detector is affected by the ambient temperature, the stability of the high voltage applied by the detector, and other factors, so that the energy spectrum is shifted, and the shift is nonlinear. Therefore, a correction for the shift in the spectral data is required before the neutron activation analysis quantification calculation is performed.
In one embodiment of the invention, the specific peak position is obtained by carrying out peak searching processing on signals with specific several known gamma energies within a specified range, and then the relation between the energy spectrum address data of the gamma energy spectrum and the energy of the gamma ray is fitted, namely y = a x 2 + b x + c, where y is the energy of the gamma ray, x is the energy spectrum address, and a, b, c are the constants to be fitted. Each gamma ray energy spectrum can establish the relation between gamma energy and energy spectrum channel address data. Therefore, one of the energy spectra can be used as a standard spectrum, and the relation between the gamma energy and the track address is set as y = a x 2 + b x + c, where y is the energy of the gamma ray, x is the energy spectrum address, and a, b, c are obtained by peak-finding fitting.
In one embodiment of the invention, the relation between the gamma energy of the original characteristic peak data and the energy spectrum channel address data is set as y 1 =a 1 *x 1 2 +b 1 *x 1 +c 1 Wherein, y 1 Is the energy of gamma rays, x 1 Is the number of addresses of the energy spectrum, a 1 、b 1 、c 1 Is obtained by the peak searching fitting. Thus, let y = y 1 Then x can be obtained by solution 1 (the expression containing x, one of the two solutions is discarded directly beyond the address range). For x 1 Rounding to get | x 1 At this point the spectral address | x 1 The energy of the gamma ray corresponding to | is consistent with that of the gamma ray corresponding to the x-channel address in the standard spectrum. Then the track address | x 1 The count in | is comparable to the count in track address x. Therefore, the relation between the energy of the spectrum and the energy spectrum address data can be combed by taking the standard spectrum as a template.
In an embodiment of the present invention, when step S50 is implemented in another way, during the process of spectrum peak offset correction, according to the original characteristic peak in the original energy spectrum data, a spectrum region is first divided out, so that a plurality of spectrum peaks can be found in the spectrum region, that is, N spectrum peaks exist in the spectrum region. Therefore, the energy spectrum region can be divided into N +1 regions by the N spectral peaks, and the N +1 sub-regions are obtained. And then, respectively aligning the N +1 sub-regions with the spectral peak position of the standard spectrum in an interpolation mode by presetting a standard spectrum to obtain the standard spectral peak shift data.
Referring to fig. 8, the present invention further provides a processing apparatus for neutron activation energy spectrum, which may include a data acquisition module 10, an address data processing module 20, an acquisition time data processing module 30, a neutron flux data processing module 40, a characteristic peak data processing module 50, and a standard energy spectrum data processing module 60. The modules referred to herein may be a series of computer program segments capable of being executed by the processor 70 and performing fixed functions and stored in the memory 80.
In one embodiment of the present invention, the data acquisition module 10 may be used to acquire raw energy spectrum data, wherein the raw energy spectrum data includes raw track site data, raw acquisition time data, raw neutron flux data, and raw characteristic peak data.
Referring to fig. 9, in an embodiment of the invention, the address data processing module 20 may be configured to obtain standard address data according to the original address data. Specifically, the track address data processing module 20 may include a track address data comparing module 21 and a track address data analyzing module 22. The address data comparing module 21 is configured to compare the number of the original address data with a preset number of addresses. The address data analysis module 22 may be configured to analyze a relationship between the number of original address data and a preset number of addresses. When the number of the original address data is smaller than the preset number of addresses, performing interpolation processing on the original addresses until the number of the interpolated data is the same as the preset number of addresses, and obtaining the standard address data. And when the number of the original address data is equal to the preset number of addresses, the original address data is the standard address data. And when the number of the original address data is larger than the preset number of addresses, sampling the original addresses until the number of the sampled data is the same as the preset number of addresses, and obtaining the standard address data.
Referring to fig. 10, in an embodiment of the invention, the acquisition time data processing module 30 may be configured to obtain standard acquisition time data according to the raw acquisition time data. The acquisition time data processing module 30 may include an acquisition time comparing module 31 and an acquisition time analyzing module 32. The acquisition time comparing module 31 may be configured to compare the original acquisition time data with a preset time data. The acquisition time analysis module 32 may be configured to analyze a relationship between the raw acquisition time data and the pre-set time data. And when the original acquisition time data is smaller than the preset time data, expanding the original acquisition time data according to a proportion until the expanded time is the same as the preset time data to obtain standard acquisition time data. And when the original acquisition time data is equal to the preset time data, the original acquisition time data is the standard acquisition time data. And when the original acquisition time data is greater than the preset time data, compressing the original acquisition time data according to a proportion until the compressed time is the same as the preset time data to obtain standard acquisition time data.
Referring to fig. 11, in an embodiment of the invention, the neutron flux data processing module 40 may be configured to obtain standard neutron flux data according to the raw neutron flux data. The neutron flux data processing module 40 may include a raw neutron flux data acquisition module 41 and a standard neutron flux data processing module 42. A raw neutron flux data acquisition module 41 may be used to acquire the raw neutron flux data, which includes a count of the energy spectrum and an intensity of the neutron source. The standard neutron flux data processing module 42 may be configured to obtain standard neutron flux data according to the energy spectrum count and the intensity of the neutron source.
Referring to fig. 12, in an embodiment of the invention, the characteristic peak data processing module 50 may be configured to obtain standard spectral peak shift data according to the original characteristic peak data. The characteristic peak data processing module 50 may include a standard spectrum obtaining module 51, a standard energy spectrum address data processing module 52, and a processing characteristic peak data processing module 53. The standard spectrum acquiring module 51 may be used to preset a standard spectrum. The standard energy spectrum track address data processing module 52 may be configured to establish a corresponding relationship between the ray energy and the track address according to the characteristic peak data in the standard spectrum, and establish a corresponding relationship between the ray energy and the track address of the energy spectrum according to the original characteristic peak in the original energy spectrum data. The processing characteristic peak data processing module 53 may be configured to obtain standard spectrum peak shift data according to the standard energy spectrum address data and the energy of the ray in the standard spectrum.
In an embodiment of the present invention, the standard spectrum data processing module 60 may be configured to obtain standard spectrum data according to the standard address data, the standard acquisition time data, the standard neutron flux data, and the standard spectrum peak shift data.
The neutron activation spectrum processing apparatus of the present embodiment is an apparatus corresponding to the neutron activation spectrum processing method, and the functional blocks in the neutron activation spectrum processing apparatus correspond to the corresponding steps in the neutron activation spectrum processing method. The apparatus for processing a neutron-activated spectrum according to the present embodiment may be implemented in cooperation with a method for processing a neutron-activated spectrum. Accordingly, the related technical details mentioned in the processing apparatus for neutron-activated spectrum of the present embodiment can also be applied to the processing method for neutron-activated spectrum described above.
It should be noted that, when actually implemented, all or part of the functional modules may be integrated into one physical entity, or may be physically separated, and all of the modules may be implemented in a form called by software through a processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element may be an integrated circuit having signal processing capability, and some or all of the steps of the method or the functional blocks may be implemented by hardware integrated logic circuits or instructions in the form of software in the processor 70 element.
The present invention further provides an electronic device, where the processing method of the neutron-activated energy spectrum and/or the processing apparatus of the neutron-activated energy spectrum can be applied to an electronic device, the electronic device can be a device capable of automatically performing numerical calculation and/or information processing according to a preset or stored instruction, and hardware thereof can include, but is not limited to, a microprocessor, an Application Specific Integrated Circuit (ASIC), a Programmable Gate Array (FPGA), a Digital Signal Processor (DSP), an embedded device, and the like.
In an embodiment of the present invention, the electronic device may be any electronic product capable of performing human-computer interaction with a user, for example, a Personal computer, a tablet computer, a smart phone, a Personal Digital Assistant (PDA), a game machine, an Internet Protocol Television (IPTV), an intelligent wearable device, and the like. The electronic device may also include a network device and/or a user device. The network device includes, but is not limited to, a single network server, a server group consisting of a plurality of network servers, or a Cloud Computing (Cloud Computing) based Cloud consisting of a large number of hosts or network servers. The Network where the electronic device is located includes, but is not limited to, the internet, a wide area Network, a metropolitan area Network, a local area Network, a Virtual Private Network (VPN), and the like.
Referring to fig. 13, in one embodiment of the invention, the electronic device may include a memory 80, a processor 70, and a bus, and may further include a computer program 90 stored in the memory 80 and executable on the processor 70, such as a text recognition program based on direction detection. The memory 80 may include at least one type of readable storage medium 100, and the readable storage medium 100 may include a flash memory, a removable hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 80 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 80 may also be an external storage device of the electronic device in other embodiments, such as a plug-in removable hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the electronic device. Further, the memory 80 may also include both an internal storage unit and an external storage device of the electronic device. The memory 80 may be used not only to store application software installed in the electronic device and various types of data, but also to temporarily store data that has been output or will be output.
In one embodiment of the invention, the processor 70 may be comprised of an integrated circuit in some embodiments, such as a single packaged integrated circuit, or may be comprised of multiple integrated circuits packaged for the same function or different functions. The processor 70 may include one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips, among others. The processor 70 is a Control Unit (Control Unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions of the electronic device and processes data by running or executing programs or modules (e.g., executing physical examination report check programs, etc.) stored in the memory 80 and calling data stored in the memory 80. The processor 70 executes an operating device of the electronic apparatus and various types of application programs installed. Processor 70 executes an application program to implement the steps in each of the neutron-activated spectrum processing method embodiments described above.
Referring to fig. 14, in one embodiment of the invention, the computer program 90 may be divided into one or more modules, one or more of which are stored in the memory 80 and executed by the processor 70 to implement the invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions that are used to describe the execution of the computer program 90 in an electronic device. For example, the computer program 90 may be segmented into a data acquisition module 10, an address data processing module 20, an acquisition time data processing module 30, a neutron flux data processing module 40, a characteristic peak data processing module 50, and a standard spectral data processing module 60. The integrated unit implemented in the form of a software functional module may be stored in a computer-readable storage medium 100. The software functional module is stored in a storage medium 100 and includes several instructions to enable a computer device (which may be a personal computer, a computer device, or a network device) or a processor 70 (processor) to perform part of the functions of the processing method of sub-activated energy spectrum in the embodiments of the present invention.
In one embodiment of the present invention, the bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc., the bus being arranged to enable connection communication between the memory 80 and the at least one processor 70, etc.
In summary, the processing method, the device, the equipment and the medium for the energy spectrum of neutron activation provided by the invention can adjust data such as the number of addresses, the acquisition time, the neutron source intensity, the spectrum peak drift and the like in the obtained gamma energy spectrum, so that the obtained energy spectrum data is more accurate, the data error after spectrum resolution is smaller, and the energy spectrum data can be standardized before the neutron activation analysis and quantitative calculation is carried out.
In the description of the present specification, reference to the description of the terms "present embodiment," "example," "specific example," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The embodiments of the invention disclosed above are intended merely to aid in the explanation of the invention. The examples are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (10)

1. A method of processing a neutron-activated spectrum, comprising the steps of:
acquiring original energy spectrum data, wherein the original energy spectrum data comprises original address data, original acquisition time data, original neutron flux data and original characteristic peak data;
obtaining standard address data according to the original address data;
obtaining standard acquisition time data according to the original acquisition time data;
obtaining standard neutron flux data according to the original neutron flux data;
obtaining standard spectrum peak shift data according to the original characteristic peak data;
and obtaining standard energy spectrum data according to the standard address data, the standard acquisition time data, the standard neutron flux data and the standard spectrum peak shift data.
2. The method of neutron-activated spectroscopy processing of claim 1, wherein the step of deriving standard address data from the raw address data comprises:
comparing the quantity of the original address data with the preset address quantity;
when the number of the original address data is smaller than the preset number of addresses, performing interpolation processing on the original address data to obtain the standard address data;
when the number of the original address data is larger than the preset number of addresses, sampling the original address data to obtain the standard address data;
and when the number of the original address data is equal to the preset number of addresses, the original address data is the standard address data.
3. The method of processing neutron-activated energy spectra of claim 1, wherein the step of deriving standard acquisition time data from the raw acquisition time data comprises:
comparing the size of the original acquisition time data with the size of the preset time data;
when the original acquisition time data is smaller than the preset time data, expanding the original acquisition time data according to a proportion to obtain standard acquisition time data;
when the original acquisition time data is equal to the preset time data, the original acquisition time data is the standard acquisition time data;
and when the original acquisition time data is larger than the preset time data, compressing the original acquisition time data according to a proportion to obtain standard acquisition time data.
4. The method of processing neutron-activated energy spectrum of claim 1, wherein the step of obtaining standard neutron flux data from the raw neutron flux data comprises:
acquiring the original neutron flux data, wherein the original neutron flux data comprises a component-fixed element peak, a count of an energy spectrum and the intensity of a neutron source, and the component-fixed element peak comprises a hydrogen element peak and an oxygen element peak;
and correcting the intensity of the neutron source according to the element peak with fixed components or the counting of the energy spectrum to obtain standard neutron flux data.
5. The method of processing neutron-activated spectra of claim 4, wherein the standard neutron flux data b i Is shown as b i =a i A is a i Is the count of the ith trace of the spectrum, and I is the intensity of the corresponding neutron source during the measurement spectrum.
6. The method of processing neutron-activated energy spectra of claim 1, wherein the step of deriving standard spectral peak shift data from the raw characteristic peak data comprises:
dividing an energy spectrum area according to an original characteristic peak in the original energy spectrum data;
carrying out peak searching processing in the energy spectrum region to obtain N peaks;
dividing the energy spectrum region into N +1 subareas according to the N peaks;
presetting a standard spectrum, and aligning the N +1 sub-regions with the spectrum peak position of the standard spectrum respectively in an interpolation mode to obtain the standard spectrum peak shift data.
7. The method of processing neutron-activated spectrum of claim 6, wherein the energy y of the rays in the standard spectrum is represented as: y = a x 2 + b x + c, where x represents the energy spectrum site and a, b, c represent the fitting constants.
8. A neutron-activated spectrum processing apparatus, comprising:
the system comprises a data acquisition module, a data acquisition module and a data processing module, wherein the data acquisition module is used for acquiring original energy spectrum data, and the original energy spectrum data comprises original address data, original acquisition time data, original neutron flux data and original characteristic peak data;
the address data processing module is used for obtaining standard address data according to the original address data;
the acquisition time data processing module is used for obtaining standard acquisition time data according to the original acquisition time data;
the neutron flux data processing module is used for obtaining standard neutron flux data according to the original neutron flux data;
the characteristic peak data processing module is used for obtaining standard spectrum peak shift data according to the original characteristic peak data; and
and the standard energy spectrum data processing module is used for obtaining standard energy spectrum data according to the standard address data, the standard acquisition time data, the standard neutron flux data and the standard spectrum peak shift data.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202210262863.0A 2022-03-17 2022-03-17 Neutron activation energy spectrum processing method, device, equipment and medium Active CN114859397B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210262863.0A CN114859397B (en) 2022-03-17 2022-03-17 Neutron activation energy spectrum processing method, device, equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210262863.0A CN114859397B (en) 2022-03-17 2022-03-17 Neutron activation energy spectrum processing method, device, equipment and medium

Publications (2)

Publication Number Publication Date
CN114859397A true CN114859397A (en) 2022-08-05
CN114859397B CN114859397B (en) 2022-11-22

Family

ID=82628474

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210262863.0A Active CN114859397B (en) 2022-03-17 2022-03-17 Neutron activation energy spectrum processing method, device, equipment and medium

Country Status (1)

Country Link
CN (1) CN114859397B (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004163352A (en) * 2002-11-15 2004-06-10 Mitsubishi Heavy Ind Ltd Radiation discriminator
CN102279408A (en) * 2011-03-28 2011-12-14 核工业西南物理研究院 Processing method of multichannel energy spectrometry and apparatus thereof
US20120181435A1 (en) * 2011-01-07 2012-07-19 Brookhaven Science Associates, Llc Detection System for High-Resolution Gamma Radiation Spectroscopy with Neutron Time-of-Flight Filtering
CN104951452A (en) * 2014-03-27 2015-09-30 丹东东方测控技术股份有限公司 Peak position similarity energy spectrum searching method for neutron activation element analysis
US20160162588A1 (en) * 2014-10-30 2016-06-09 Quantifind, Inc. Apparatuses, methods and systems for insight discovery and presentation from structured and unstructured data
JP2018179580A (en) * 2017-04-05 2018-11-15 株式会社日立製作所 System and method for monitoring neutron intensity
CN110376638A (en) * 2019-07-19 2019-10-25 四川轻化工大学 Peak Search Method based on the enhancing of deconvolution iteration ray energy spectrum resolution ratio
CN111579571A (en) * 2020-06-02 2020-08-25 中国工程物理研究院核物理与化学研究所 Method for gradually approaching scale gamma energy spectrum high-energy region based on peak shape fitting
CN112684490A (en) * 2020-12-22 2021-04-20 上海工物高技术产业发展有限公司 Energy spectrum partitioning method and device, computer equipment and storage medium
CN113241125A (en) * 2021-03-31 2021-08-10 中国科学院近代物理研究所 Neutron energy spectrum universal type spectrum resolving method, system, electronic equipment and readable medium

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004163352A (en) * 2002-11-15 2004-06-10 Mitsubishi Heavy Ind Ltd Radiation discriminator
US20120181435A1 (en) * 2011-01-07 2012-07-19 Brookhaven Science Associates, Llc Detection System for High-Resolution Gamma Radiation Spectroscopy with Neutron Time-of-Flight Filtering
CN102279408A (en) * 2011-03-28 2011-12-14 核工业西南物理研究院 Processing method of multichannel energy spectrometry and apparatus thereof
CN104951452A (en) * 2014-03-27 2015-09-30 丹东东方测控技术股份有限公司 Peak position similarity energy spectrum searching method for neutron activation element analysis
US20160162588A1 (en) * 2014-10-30 2016-06-09 Quantifind, Inc. Apparatuses, methods and systems for insight discovery and presentation from structured and unstructured data
JP2018179580A (en) * 2017-04-05 2018-11-15 株式会社日立製作所 System and method for monitoring neutron intensity
CN110376638A (en) * 2019-07-19 2019-10-25 四川轻化工大学 Peak Search Method based on the enhancing of deconvolution iteration ray energy spectrum resolution ratio
CN111579571A (en) * 2020-06-02 2020-08-25 中国工程物理研究院核物理与化学研究所 Method for gradually approaching scale gamma energy spectrum high-energy region based on peak shape fitting
CN112684490A (en) * 2020-12-22 2021-04-20 上海工物高技术产业发展有限公司 Energy spectrum partitioning method and device, computer equipment and storage medium
CN113241125A (en) * 2021-03-31 2021-08-10 中国科学院近代物理研究所 Neutron energy spectrum universal type spectrum resolving method, system, electronic equipment and readable medium

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
付广等: "全谱能谱测井仪数据处理方法", 《舰船科学技术》 *
徐旺等: "元素分析测井仪井下稳谱算法设计", 《国外电子测量技术》 *
赵江滨: "X射线荧光谱仪解谱算法实现", 《中国原子能科学研究院年报》 *
陈伟等: "相邻道址插值法合成γ能谱", 《核电子学与探测技术》 *

Also Published As

Publication number Publication date
CN114859397B (en) 2022-11-22

Similar Documents

Publication Publication Date Title
US7676329B2 (en) Method and system for processing multi-dimensional measurement data
US9812306B2 (en) Shift correction for spectral analysis
Huang et al. The Flash ADC system and PMT waveform reconstruction for the Daya Bay Experiment
US20200065699A1 (en) Analytical data analysis method and analytical data analyzer
US11579125B2 (en) Real-time peak detection
CN114157683B (en) Online chromatograph data storage method and device and storage medium
CN114859397B (en) Neutron activation energy spectrum processing method, device, equipment and medium
US20210341400A1 (en) Systems and methods for interpreting high energy interactions
Tyler The accuracy and precision of the advanced Poisson dead‐time correction and its importance for multivariate analysis of high mass resolution ToF‐SIMS data
CN107491385B (en) The method and device of screen is recorded in a kind of software test procedure
Li et al. A new radionuclide identification method for low-count energy spectra with multiple radionuclides
CN115033223A (en) Log generation method and device
Westmeier et al. PC-based high-precision nuclear spectrometry
CN114295766A (en) Metabonomics data processing method and device based on stable isotope labeling
CN115541021A (en) Method for locating characteristic peak of Raman spectrum, electronic device and storage medium
US20140303904A1 (en) Data processing system and method for chromatograph
CN117332553B (en) Shale reservoir helium isotope parameter acquisition method, terminal and medium
Golubev et al. Data Acquisition and Processing Module with a Network Interface for MWPC Detectors with Delay-Line Readout
CN116089864A (en) Fourier transform false spectrum identification method and system
JP3289438B2 (en) Chromatography data processing equipment
CN114564999B (en) Noise reduction method and device for mass spectrum data and storage medium
CN117421570B (en) Nuclide identification method, device, equipment and medium without energy scale
CN111598094B (en) Angle regression instrument reading identification method, equipment and system based on deep learning
US20230350788A1 (en) Method and system for providing delta code coverage information for work items
CA3218138A1 (en) Amplification and detection of compound signals

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant