CN114859397B - Neutron activation energy spectrum processing method, device, equipment and medium - Google Patents
Neutron activation energy spectrum processing method, device, equipment and medium Download PDFInfo
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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 road address data, the standard acquisition time data, the standard neutron flux data and the standard spectrum peak deviation data. By the neutron activation energy spectrum processing method, energy spectrum data can be standardized before neutron activation analysis and quantitative calculation.
Description
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 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 the standard acquisition time data according to the original acquisition time data includes:
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 greater than the preset time data, compressing the original acquisition time data according to a ratio 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 component-fixed element peaks, counts of an energy spectrum and the intensity of a neutron source, and the component-fixed element peaks comprise 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 I, wherein, 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;
performing 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, whereinX represents the energy spectrum address, and a, b and c represent fitting constants.
The invention also provides a neutron activation energy spectrum processing device, which comprises:
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 of processing a spectrum of 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 spectral peak shift in an obtained γ energy spectrum, so that the obtained energy spectrum data is relatively accurate, the data error after spectrum decomposition is relatively small, and the energy spectrum data can be normalized 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 will be briefly introduced below, and it is obvious that the drawings in the following description 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 showing 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 showing 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 showing 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 a neutron-activated spectrum processing method according to the present invention.
Fig. 6 is a flow chart showing 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 showing sub-steps of another mode of step S50 in the method for processing a neutron-activated spectrum according to the present invention.
Fig. 8 is a schematic diagram of a neutron-activated 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 energy spectrum processing device according to the 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 spectrum processing device according to the present 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 road 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 energy spectrum, which includes step S10 of obtaining raw energy spectrum data, wherein the raw energy spectrum data includes raw address data, raw acquisition time data, raw neutron flux data, and raw characteristic peak data.
And S20, obtaining standard address data according to the original address data.
And S30, obtaining standard acquisition time data according to the original acquisition time data.
And S40, obtaining standard neutron flux data according to the original neutron flux data.
And S50, obtaining standard spectrum peak shift data according to the original characteristic peak data.
And 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 comprises raw 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, due to different test scenarios, the obtained original energy spectrum data may have situations such as non-uniform channel number, different acquisition times, different neutron source intensities, and spectrum peak drift. For example, due to the fact that the functional relationship between the gamma energy and the channel address changes correspondingly due to fluctuation of the ambient temperature or the high voltage, for example, the 1000 th channel has different energy spectrums corresponding to different gamma ray energies, and the like, the original channel 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 substeps 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.
And 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, specifically, energy spectrum address data of γ -rays obtained in 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 one 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, one data is extracted every other data in the original address data, so that the number of data is changed to 1024.
Referring to fig. 3, in one embodiment of the present invention, when step S30 is executed, the standard acquisition time data is obtained according to the original acquisition time data. The substeps of step S30 may include:
and S301, comparing the size of the original acquisition time data with the size of 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, 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 20min. 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 data is processed, 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 that the data is expanded to be 10min. When the original acquisition time data is 20min, the original acquisition time data may be compressed proportionally, and the intensity of the data may be compressed proportionally to make it compressed to 10min.
Referring to fig. 4, in an embodiment of the present invention, when step S40 is executed, standard neutron flux data is obtained according to the original neutron flux data. The substeps 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 one embodiment of the present invention, the following steps are performedAnd step S40, obtaining standard neutron flux data according to the original neutron flux data. This step may also be implemented in other ways, i.e. the sub-step of step S40 may also include:
step S41, obtaining the original neutron flux data, wherein the original neutron flux data comprises element peaks with fixed components, the counting of an energy spectrum and the intensity of a neutron source, and the element peaks with fixed components comprise a hydrogen element peak and an oxygen element peak.
And 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, so that the counting of the characteristic gamma energy spectrum fluctuates, i.e. a certain error occurs 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 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 also 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 acquired energy spectrum may also 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 an embodiment of the present invention, when step S50 is executed, standard spectrum peak shift data is obtained according to the original characteristic peak data. The substeps 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 denotes the energy spectrum site and a, b, c denote 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, and characterizing the corresponding relation as a second corresponding relation.
And S504, obtaining the standard spectrum peak deviation 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 spectrum peak shift data is obtained according to the original characteristic peak data. This step may also be implemented in other ways, i.e. the sub-step of step S50 may also include:
and S51, dividing a power spectrum region according to the original characteristic peak in the original power spectrum data.
And S52, performing peak searching processing in the energy spectrum region to obtain N peaks.
And S53, dividing the energy spectrum area into N +1 subareas according to the N peaks.
And 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 signal measured by the gamma ray detector is converted into a gamma energy spectrum 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. The response of the gamma detector is affected by the ambient temperature, the stability of the high voltage applied to the detector, and other factors, so that the energy spectrum is shifted, and the shift is nonlinear. Therefore, the spectral data needs to be corrected for drift before the neutron activation analysis quantification calculation is performed.
In one embodiment of the invention, the specific peak positions are obtained by carrying out peak searching processing on specific signals with known gamma energies in 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, wherein y is the energy of gamma raysAnd the quantity, x is the energy spectrum channel address, and a, b and c are undetermined fitting constants. 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 manner, in the process of spectrum peak offset correction, an energy spectrum region may be first divided according to an original characteristic peak in original energy spectrum data, so that a plurality of spectrum peaks may be found in the energy spectrum region, that is, N spectrum peaks exist in the energy 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 subareas with the peak positions of the standard spectrum in an interpolation mode by presetting a standard spectrum to obtain the standard spectrum 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 address data processing module 20 may include an address data comparing module 21 and an 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 is 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. The raw neutron flux data acquisition module 41 may be used to acquire the raw neutron flux data, which includes counts of energy spectra and intensities of neutron sources. The standard neutron flux data processing module 42 may be configured to obtain standard neutron flux data according to the count of the energy spectrum 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 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 composed of a plurality of network servers, or a Cloud Computing (Cloud Computing) based Cloud composed 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 of the electronic device, connects the respective 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 a physical examination report check program, 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 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 apparatus, the device and the medium for neutron activation energy spectrum provided by the present invention can adjust data such as the number of addresses, the acquisition time, the neutron source intensity and the spectrum peak drift 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 quantification calculation.
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 embodiments described. 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 (6)
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;
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 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 standard address data;
when the number of the original address data is equal to the preset number of addresses, the original address data is standard address data;
comparing the original acquisition time data with preset time data;
when the original acquisition time data are smaller than the preset time data, performing expansion processing on 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;
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;
acquiring the original neutron flux data, wherein the original neutron flux data comprises component-fixed element peaks, counts of an energy spectrum and the intensity of a neutron source, and the component-fixed element peaks comprise a hydrogen element peak and an oxygen element peak;
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;
dividing an energy spectrum area according to an original characteristic peak in the original energy spectrum data;
performing 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;
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 processing neutron-activated spectra of claim 1, wherein the standard neutron flux data b i Is represented as b i ＝a i I, wherein, 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.
3. The method of processing neutron-activated energy spectrum of claim 1, wherein the energy y of the rays in the standard spectrum is expressed as: y = a x 2 + b x + c, where x represents the energy spectrum site and a, b, c represent the fitting constants.
4. 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 system comprises a channel address data processing module, a channel address data processing module and a channel address data processing module, wherein the channel address data processing module is used for comparing the quantity of the original channel address data with a preset channel address number, when the quantity of the original channel address data is smaller than the preset channel address number, the original channel address data is subjected to interpolation processing to obtain standard channel address data, when the quantity of the original channel address data is larger than the preset channel address number, the original channel address data is sampled to obtain the standard channel address data, and when the quantity of the original channel address data is equal to the preset channel address number, the original channel address data is the standard channel address data;
the acquisition time data processing module is used for comparing the size between the original acquisition time data and preset time data, when the original acquisition time data is smaller than the preset time data, the original acquisition time data is expanded 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 greater than the preset time data, the original acquisition time data is compressed according to a proportion to obtain the standard acquisition time data;
the neutron flux data processing module is used for acquiring the original neutron flux data, wherein the original neutron flux data comprise component-fixed element peaks, energy spectrum counting and the intensity of a neutron source, the component-fixed element peaks comprise hydrogen element peaks and oxygen element peaks, and the intensity of the neutron source is corrected according to the component-fixed element peaks or the energy spectrum counting to obtain standard neutron flux data;
the characteristic peak data processing module is used for dividing an energy spectrum area according to an original characteristic peak in the original energy spectrum data, performing peak searching processing in the energy spectrum area to obtain N peaks, dividing the energy spectrum area into N +1 subareas according to the N peaks, presetting a standard spectrum, and aligning the N +1 subareas with a spectrum peak position of the standard spectrum respectively in an interpolation mode to obtain standard spectrum peak shift 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.
5. 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 3 when executing the computer program.
6. 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 3.
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