Radiation space distribution reconstruction method, system and device and storage medium

Abstract

The invention provides a radiation space distribution reconstruction method, system and device and a storage medium, and relates to the technical field of nuclear waste treatment. The radiation space distribution reconstruction method comprises the following steps: obtaining detection results of a plurality of detectors on a to-be-detected sample; acquiring attribute information of the to-be-tested sample; dividing the to-be-detected sample into a plurality of detection areas based on the geometric information of the to-be-detected sample; acquiring detection efficiency information of the plurality of detectors, wherein the detection efficiency information comprises detection efficiency of the detectors for each detection area; and determining the radioactive activity distribution of the to-be-detected sample based on the detection results acquired by the plurality of detectors and the detection efficiency information of the plurality of detectors. According to the radiation space distribution reconstruction method, the detection efficiency of each position detector on a plurality of detection areas on the to-be-detected sample is simulated and restored, and the detection results of the plurality of detectors on the to-be-detected sample and the detection efficiency of the plurality of detectors on the plurality of detection areas on the to-be-detected sample are combined; the spatial distribution of the radiation activity of the to-be-detected sample can be reconstructed.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear waste treatment, and in particular to a radiation spatial distribution reconstruction method, system, equipment and storage medium. Background Art

[0002] Radioactive waste management is one of the important aspects of environmental management for nuclear facility operators such as nuclear power plants. The nuclear safety guideline "Pre-disposal Management of Radioactive Waste in Nuclear Facilities" (HAD 401 / 12-2020) stipulates that in each step of waste management, radioactive waste should be characterized and classified as needed, and information on the generation, pretreatment, treatment, preparation, storage and transportation of radioactive waste should be recorded and preserved. Radioactive properties are the main content of waste characterization, including half-life, activity concentration of radionuclides, dose rate, etc. In order to meet the requirements of radioactive waste collection, handling, storage and radiation protection, typical waste, especially dry waste, needs to be packaged in waste barrels of different specifications.

[0003] For the radioactivity characterization of barreled waste, sampling analysis or overall γ scanning measurement method (IGS), layered scanning γ measurement method (SGS), tomographic γ scanning method (TGS) and other methods are usually used. Sampling analysis is a destructive analysis. For the analysis of large quantities of radioactive waste, the sampling representativeness is often difficult to meet the requirements, and the analysis cost is high and the efficiency is low. For some wastes with higher radioactivity levels, it causes certain radiation exposure to analysts. IGS, SGS, TGS and other methods are non-destructive analysis methods. For the radioactivity characterization of standard barreled waste, they have the advantages of short analysis time and relatively high efficiency. However, these methods use overall radioactivity measurement. Due to problems such as waste density and uneven distribution of radioactivity, the accuracy of radioactivity characterization results is affected to a certain extent. In particular, methods such as IGS, SGS, and TGS cannot effectively solve the problem of uneven distribution of radioactivity.

[0004] Therefore, it is necessary to provide a radiation spatial distribution reconstruction method, system, device and storage medium to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a radiation spatial distribution reconstruction method, system, device and storage medium, so as to improve the technical problem that existing detection equipment is difficult to accurately reconstruct the spatial distribution of radioactivity of waste.

[0006] To achieve the above-mentioned purpose and other related purposes, in a first aspect, the present invention provides a method for reconstructing the spatial distribution of radiation, which is applied to a detection device, wherein the detection device comprises a cavity and a plurality of detectors, wherein the cavity is used to accommodate a sample to be tested, and the plurality of detectors are distributed at intervals along the wall of the cavity; the method for reconstructing the spatial distribution of radiation comprises the following steps:

[0007] Obtaining detection results of the multiple detectors on the sample to be tested;

[0008] Acquiring attribute information of the sample to be tested, wherein the attribute information includes geometric information;

[0009] Based on the geometric information of the sample to be tested, the sample to be tested is divided into a plurality of detection areas;

[0010] Acquire detection efficiency information of the multiple detectors, the detection efficiency information including the detection efficiency of the detector for each of the detection areas;

[0011] Based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors, the radioactivity distribution of the sample to be tested is determined.

[0012] In a second aspect, the present invention provides a radiation spatial distribution reconstruction system, which is applied to a detection device, wherein the detection device includes a cavity and a plurality of detectors, wherein the cavity is used to accommodate a sample to be tested, and the plurality of detectors are distributed at intervals along the wall of the cavity; the radiation spatial distribution reconstruction system includes:

[0013] A first information acquisition module, used to obtain detection results of the multiple detectors on the sample to be tested;

[0014] A second information acquisition module is used to acquire attribute information of the sample to be tested, wherein the attribute information includes geometric information;

[0015] A partitioning module, which divides the sample to be tested into a plurality of detection areas based on the geometric information of the sample to be tested;

[0016] A detection efficiency acquisition module, used to acquire detection efficiency information of the multiple detectors, wherein the detection efficiency information includes the detection efficiency of the detector for each of the detection areas;

[0017] A reconstruction module obtains the radioactivity distribution of the sample to be tested based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors.

[0018] In a third aspect, the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned radiation spatial distribution reconstruction method when executing the computer program.

[0019] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned radiation spatial distribution reconstruction method are implemented.

[0020] The above-mentioned radiation spatial distribution reconstruction method, system, equipment and storage medium simulate and restore the detection efficiency of detectors at various positions in the detection equipment for multiple detection areas on the sample to be tested, and combine the detection results of multiple detectors on the sample to be tested and the detection efficiency of multiple detectors for multiple detection areas on the sample to be tested, so as to accurately and efficiently reconstruct the spatial distribution of the radioactivity of the sample to be tested. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The features and advantages of the present invention will be more clearly understood by referring to the accompanying drawings, which are schematic and should not be construed as limiting the present invention in any way. In the accompanying drawings:

[0022] Figure 1 It is a schematic diagram of the steps of a method for reconstructing the spatial distribution of radiation according to an embodiment of the present invention;

[0023] Figure 2 It is a logical flow diagram of a radiation spatial distribution reconstruction method according to an embodiment of the present invention;

[0024] Figure 3 Shown is a schematic diagram of the distribution positions of multiple detectors in a detection device in one embodiment of the present invention;

[0025] Figure 4 Shown is a schematic diagram of the structure of a waste bucket for a sample to be tested in one embodiment of the present invention;

[0026] Figure 5 It is a schematic diagram of the process of step S4 in one embodiment of the present invention;

[0027] Figure 6 The display is a detection efficiency curve retrieved in step S41 in one embodiment of the present invention;

[0028] Figure 7 It is a schematic diagram of the process of step S5 in one embodiment of the present invention;

[0029] Figure 8 Shown is a schematic diagram of radioactivity distribution reconstructed for a sample to be tested in one embodiment of the present invention;

[0030] Fig. 9 Shown is a structural block diagram of a radiation spatial distribution reconstruction system in one embodiment of the present invention;

[0031] Fig.10 Shown is a schematic structural diagram of an electronic device in an embodiment of the present invention.

[0032] Component number description:

[0033] 10. Radiation spatial distribution reconstruction system; 11. First information acquisition module; 12. Second information acquisition module; 13. Partitioning module; 14. Detection efficiency acquisition module; 15. Reconstruction module. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] See also Figures 1 to 10 It should be noted that the illustrations provided in this embodiment are only used to illustrate the basic concept of the present invention in a schematic manner, and the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0036] See also Figures 1 to 3 In the first aspect, the present invention provides a method for reconstructing the spatial distribution of radiation, which is applied to a detection device. The detection device includes a cavity and a plurality of detectors. The cavity is used to accommodate a sample to be tested, and the cavity wall is a shielding body capable of shielding radioactive radiation. The sample to be tested may be, for example, a waste barrel containing radioactive waste. A plurality of detectors are distributed at intervals along the cavity wall, and a plurality of detectors are distributed in a 4π spatial pattern along the cavity wall, and a plurality of detectors form a 4π spatial stereoscopic structure for the sample to be tested. The detection device detects the sample to be tested in the cavity through a plurality of detectors, and converts the detection results collected by the plurality of detectors into the radioactivity distribution of the sample to be tested by executing the method for reconstructing the spatial distribution of radiation. It should be noted that the detector may be a γ spectrometer (such as a NaI (Tl) detector or a CZT detector) or a plastic scintillator detector.

[0037] For example Figure 3 As shown, in one example, multiple detectors are distributed on 6 surfaces of the inner wall of the cavity, and 4 detectors are arranged on each surface. Among them, detectors T1-T4 are distributed on the upper inner wall surface, detectors D1-D4 are distributed on the lower inner wall surface, detectors L1-L4 are distributed on the left inner wall surface, detectors R1-R4 are distributed on the right inner wall surface, detectors F1-F4 are distributed on the front inner wall surface, and detectors B1-B4 are distributed on the rear inner wall surface.

[0038] See also Figure 1 and Figure 2 The present invention provides a method for reconstructing radiation spatial distribution, comprising the following steps:

[0039] S1. Obtain detection results of the multiple detectors on the sample to be tested.

[0040] In step S1, multiple detectors are numbered, and detection results are numbered accordingly based on the detectors. For example, for n detectors (n≥2), the detector number is recorded as i, and the detection result of the i-th detector on the sample to be tested is recorded as A i , where 1≤i≤n.

[0041] It should be noted that the detection result type corresponds to the detector type. For example, when the detector is a gamma spectrometer, the detection result is the activity of the nuclide, and the unit of the detection result is the activity unit or the specific activity unit; when the detector is a plastic scintillator detector, the detection result is the radioactivity count, and the unit of the detection result is the activity response count rate or the specific activity response count rate.

[0042] Next, step S2 is executed to obtain the property information of the sample to be tested.

[0043] In step S2, the attribute information includes the material type, geometric information and density of the sample to be tested. The geometric information is obtained by scanning the sample to be tested with a three-dimensional imaging device, and the geometric information can be point cloud data obtained by scanning. The geometric information can be converted into a three-dimensional model representing the sample to be tested, and the shape and volume of the sample to be tested can be obtained based on the constructed three-dimensional model; the density is determined based on the volume in the geometric information and the mass measured by weighing the sample to be tested.

[0044] Next, step S3 is executed to divide the sample to be tested into a plurality of detection areas based on the geometric information of the sample to be tested.

[0045] In some embodiments, in step S3, the sample to be tested is represented by a three-dimensional model converted from geometric information, and the sample to be tested is first divided into at least two sections along the height direction; then, for each section, the section is divided into at least two detection areas along the circumferential direction around the geometric center of the section, and the detection area can be a fan-shaped area. Figure 4 As shown, in one example, the sample to be tested is first divided into 5 segments along the height direction, and then each segment is divided into 4 sector-shaped detection areas, so that the sample to be tested is divided into 5×4 sector-shaped detection areas.

[0046] In step S3, after the sample to be tested is divided, the detection areas in the sample to be tested are numbered. For example, the sample to be tested is divided into m detection areas (m≥4), and the number of the sample to be tested is recorded as j, where 1≤j≤m. In one embodiment, in order to ensure the accuracy of the measurement of the radioactivity of each detection area, the number of detection areas is less than or equal to the number of detectors.

[0047] Next, step S4 is executed to obtain the detection efficiency information of multiple detectors, where the detection efficiency information includes the detection efficiency of the detector for each detection area. The detection efficiency of the i-th detector for the j-th detection area is expressed as ε ij .

[0048] In some embodiments, in step S4, the detection efficiency of each detector for multiple detection areas is simulated by a Monte Carlo algorithm. For example, based on the parameter information and position information of multiple detectors, a Monte Carlo algorithm is used to simulate the detection efficiency of each detector for multiple detection areas. 137 Cs or 60 The detection efficiency of each detector in each detection area is simulated and calculated based on the gamma-ray energy of Co).

[0049] like Figure 5 As shown, in some other embodiments, step S4 includes the following steps:

[0050] S41, according to the material type and density of the sample to be tested in the attribute information, retrieve the detection efficiency curves of each detector for multiple detection areas;

[0051] In step S41, the detection efficiency curve is obtained through a calibration experiment. Specifically, a phantom required for the experiment is prepared. The phantom has the same shape as the sample to be tested. The phantom is divided into multiple verification areas. The verification areas of the phantom correspond to the detection areas of the sample to be tested one by one. A standard point source is placed in the verification area to be verified in the phantom. The standard point source can be equipped with representative nuclides (such as 137 Cs or 60 Co). The phantom is filled with different typical materials to simulate the corresponding material type, such as filling styrene (C8H8) to simulate the resin material type, filling iron to simulate the metal material type, filling cellulose ((C6H 10 O5) n ) simulates knitted material type.

[0052] A phantom pre-loaded with standard point sources, filled with materials, and adjusted to a specified density is placed in the cavity of the detection device. Multiple detectors are used to detect the standard point sources in each calibration area of ​​the phantom in turn. Based on the ratio of the activity results obtained by detection to the activity of the standard point sources, the detection efficiency data of each detector for several phantoms of specified densities of the current experimental material type is determined. The detection efficiency data includes the detection efficiency of the detector for multiple calibration areas. Then, other materials are filled in the phantom, and the above test process is continued to obtain the detection efficiency data of multiple detectors for phantoms of different densities under each material type.

[0053] For each detector, according to the detection efficiency data of the detector for different density phantoms under each material type, a set of detection efficiency curves of the detector for each material type phantom is fitted. The detection efficiency curve set includes the detection efficiency curves of the detector for multiple verification areas in the current material type phantom, which is equivalent to the detection efficiency curves of the detector for multiple detection areas in the sample to be tested of the current material type. For example Figure 6 As shown, Figure 6 is the detection efficiency curve of a detector for a detection area in a resin sample obtained by experimental fitting, Figure 6 The multiple curves shown can be used as a basis to further fit the detection efficiency curves at other densities to meet usage needs.

[0054] S42. For the detection efficiency curve of each detector in each detection area, based on the energy of the radioactive rays detected by the detector, determine the detection efficiency of the detector in each detection area from the detection efficiency curve.

[0055] In step S42, the detection efficiency of the i-th detector in the j-th detection area of ​​the sample to be tested is recorded as ε ij , where 1≤i≤n, 1≤j≤m.

[0056] Next, step S5 is executed to determine the radioactivity distribution of the sample to be tested based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors.

[0057] like Figure 7 As shown, in some embodiments, step S5 includes the following steps:

[0058] S51, obtaining the radioactive activities of the multiple detection areas according to the detection efficiency information of the multiple detectors and the collected detection results;

[0059] In step S51, the detection results of multiple detectors and the detection efficiency of multiple detectors for each detection area in the sample to be tested are substituted into the following equation to calculate the radioactivity of each detection area in the sample to be tested. The calculation equation is as follows:

[0060]

[0061] Among them, A i is the detection result of the i-th detector; ε ij is the detection efficiency of the i-th detector in the j-th detection area of ​​the sample to be tested, x j is the radioactivity of the jth detection area in the sample to be tested.

[0062] S52: Determine the radioactivity distribution of the sample to be tested according to the radioactivity corresponding to the multiple detection areas.

[0063] In step S52, according to the radioactivity corresponding to each detection area, the radioactivity data of each detection area of ​​the sample to be tested is interpolated by a three-dimensional space interpolation method to obtain a three-dimensional thermodynamic distribution map of the radioactivity of the sample to be tested. Further, according to the three-dimensional thermodynamic distribution map of the sample to be tested, the location of the radioactive hotspot in the sample to be tested and the radioactivity of the radioactive hotspot can be determined. For example Figure 8 As shown, in one example, for the sample to be tested divided into 5×4 detection areas, step S52 performs radioactive activity interpolation on the detection area in each orientation (4 orientations in total) in each section layer (5 layers in total) of the sample to be tested, so as to obtain the radioactive activity of the detection area in each orientation in each section layer, and the specific section layer and orientation position of the radioactive hotspot can be determined based on the radioactive activity distribution in the sample to be tested.

[0064] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0065] In some embodiments, the present invention provides a radiation spatial distribution reconstruction system 10, which corresponds one-to-one to the radiation spatial distribution reconstruction method in the above-mentioned embodiment. The radiation spatial distribution reconstruction system 10 is applied to a detection device. The detection device includes a cavity and a plurality of detectors. The cavity is used to accommodate a sample to be tested, and the cavity wall is a shielding body capable of shielding radioactive radiation. The sample to be tested may be, for example, a waste barrel containing radioactive waste. The plurality of detectors are distributed at intervals along the cavity wall, and the plurality of detectors are distributed in a 4π spatial distribution along the cavity wall, and the plurality of detectors form a 4π spatial three-dimensional structure for the sample to be tested.

[0066] like Fig. 9 As shown, the radiation spatial distribution reconstruction system 10 includes a first information acquisition module 11, a second information acquisition module 12, a partitioning module 13, a detection efficiency acquisition module and a reconstruction module 15. The functional modules are described in detail as follows:

[0067] A first information acquisition module 11 is used to obtain detection results of the multiple detectors on the sample to be tested;

[0068] A second information acquisition module 12 is used to acquire attribute information of the sample to be tested, wherein the attribute information includes geometric information;

[0069] A partitioning module 13, based on the geometric information of the sample to be tested, divides the sample to be tested into a plurality of detection areas;

[0070] A detection efficiency acquisition module, used to acquire detection efficiency information of the multiple detectors, wherein the detection efficiency information includes the detection efficiency of the detector for each of the detection areas;

[0071] The reconstruction module 15 obtains the radioactivity distribution of the sample to be tested based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors.

[0072] In one embodiment, the partitioning module 13 is specifically used for:

[0073] Based on the geometric information of the sample to be tested, the sample to be tested is divided into at least two sections along the height direction;

[0074] Each of the segment layers is divided into at least two detection areas along the circumferential direction, and the detection areas are fan-shaped areas.

[0075] In one embodiment, the detection efficiency acquisition module is specifically used to:

[0076] For each of the detectors, the detection efficiency of the detector in each of the detection areas is obtained by simulation using a Monte Carlo algorithm according to the parameter information and position information of the detector.

[0077] In one embodiment, the detection efficiency acquisition module is specifically used to:

[0078] According to the material type and density in the attribute information, the detection efficiency curve of each detector for the plurality of detection areas is retrieved; the detection efficiency curve is obtained through a calibration experiment;

[0079] For the detection efficiency curve of each of the detectors in each of the detection areas, the detection efficiency of the detector in each of the detection areas is determined from the detection efficiency curve based on the energy of the radioactive rays detected by the detector.

[0080] In one embodiment, the detection efficiency acquisition module is specifically used to:

[0081] The standard point sources in each verification area of ​​the phantom are detected by the multiple detectors, and the detection efficiency data of each detector for phantoms of different densities under different material types are determined, and the detection efficiency data includes the detection efficiency of the detector for the multiple verification areas; wherein the phantom has the same shape as the sample to be tested, and the verification area of ​​the phantom corresponds to the detection area of ​​the sample to be tested;

[0082] For each of the detectors, based on the detection efficiency data of the detector for different density phantoms under each material type, a set of detection efficiency curves of the detector for each material type phantom is fitted, and the detection efficiency curve set includes the detection efficiency curves of the detector for multiple verification areas in the material type phantom.

[0083] In one embodiment, the reconstruction module 15 is specifically configured to:

[0084] Obtaining radioactive activities of the plurality of detection areas according to the detection efficiency information of the plurality of detectors and the collected detection results;

[0085] The radioactivity distribution of the sample to be tested is determined according to the radioactivity corresponding to the multiple detection areas.

[0086] In one embodiment, the reconstruction module 15 is specifically configured to:

[0087] According to the radioactive activities corresponding to the multiple detection areas, the radioactive activity data of each detection area of ​​the sample to be tested is interpolated by a three-dimensional space interpolation method to obtain a three-dimensional thermodynamic distribution diagram of the radioactive activity of the sample to be tested;

[0088] According to the three-dimensional thermodynamic distribution diagram, the location of the radioactive hot spot in the sample to be tested and the radioactivity of the radioactive hot spot are determined.

[0089] For the specific definition of the radiation spatial distribution reconstruction system 10, please refer to the definition of the radiation spatial distribution reconstruction method above, which will not be repeated here. The various modules in the above-mentioned radiation spatial distribution reconstruction system 10 can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0090] In one embodiment, a computer device is provided, wherein the internal structure diagram of the computer device can be as follows: Fig.10 As shown. The computer device includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external server through a network connection. When the computer program is executed by the processor, the functions or steps of a radiation spatial distribution reconstruction method are implemented.

[0091] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0092] Obtaining detection results of the multiple detectors on the sample to be tested;

[0093] Acquiring attribute information of the sample to be tested, wherein the attribute information includes geometric information;

[0094] Based on the geometric information of the sample to be tested, the sample to be tested is divided into a plurality of detection areas;

[0095] Acquire detection efficiency information of the multiple detectors, the detection efficiency information including the detection efficiency of the detector for each of the detection areas;

[0096] Based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors, the radioactivity distribution of the sample to be tested is determined.

[0097] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0098] Obtaining detection results of the multiple detectors on the sample to be tested;

[0099] Acquiring attribute information of the sample to be tested, wherein the attribute information includes geometric information;

[0100] Based on the geometric information of the sample to be tested, the sample to be tested is divided into a plurality of detection areas;

[0101] Acquire detection efficiency information of the multiple detectors, the detection efficiency information including the detection efficiency of the detector for each of the detection areas;

[0102] Based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors, the radioactivity distribution of the sample to be tested is determined.

[0103] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can refer to the relevant descriptions on the server side and the client side in the aforementioned method embodiment. To avoid repetition, they will not be described one by one here.

[0104] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink), DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0105] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0106] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for reconstructing radiation spatial distribution, characterized in that: Applied to a detection device, the detection device comprises a cavity and a plurality of detectors, the cavity is used to accommodate a sample to be tested, and the plurality of detectors are distributed at intervals along the wall of the cavity; the method comprises: Obtaining detection results of the multiple detectors on the sample to be tested; Acquiring attribute information of the sample to be tested, wherein the attribute information includes geometric information; Based on the geometric information of the sample to be tested, the sample to be tested is divided into a plurality of detection areas; Acquire detection efficiency information of the multiple detectors, the detection efficiency information including the detection efficiency of the detector for each of the detection areas; Based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors, the radioactivity distribution of the sample to be tested is determined.

2. The radiation spatial distribution reconstruction method according to claim 1, characterized in that: The step of dividing the sample to be tested into a plurality of detection areas based on the geometric information of the sample to be tested comprises: Based on the geometric information of the sample to be tested, the sample to be tested is divided into at least two sections along the height direction; Each of the segment layers is divided into at least two detection areas along the circumferential direction, and the detection areas are fan-shaped areas.

3. The radiation spatial distribution reconstruction method according to claim 1, characterized in that: The acquiring detection efficiency information of the plurality of detectors includes: For each of the detectors, the detection efficiency of the detector in each of the detection areas is obtained by simulation using a Monte Carlo algorithm according to the parameter information and position information of the detector.

4. The radiation spatial distribution reconstruction method according to claim 1, characterized in that: The acquiring detection efficiency information of the plurality of detectors comprises: According to the material type and density in the attribute information, the detection efficiency curve of each detector for the plurality of detection areas is retrieved; the detection efficiency curve is obtained through a calibration experiment; For the detection efficiency curve of each of the detectors in each of the detection areas, the detection efficiency of the detector in each of the detection areas is determined from the detection efficiency curve based on the energy of the radioactive rays detected by the detector.

5. The radiation spatial distribution reconstruction method according to claim 4, characterized in that: The detection efficiency curve is obtained through a calibration experiment, including: The standard point sources in each verification area of ​​the phantom are detected by the multiple detectors, and the detection efficiency data of each detector for phantoms of different densities under different material types are determined, and the detection efficiency data includes the detection efficiency of the detector for the multiple verification areas; wherein the phantom has the same shape as the sample to be tested, and the verification area of ​​the phantom corresponds to the detection area of ​​the sample to be tested; For each of the detectors, based on the detection efficiency data of the detector for different density phantoms under each material type, a set of detection efficiency curves of the detector for each material type phantom is fitted, and the detection efficiency curve set includes the detection efficiency curves of the detector for multiple verification areas in the material type phantom.

6. The radiation spatial distribution reconstruction method according to claim 1, characterized in that: The step of determining the radioactivity distribution of the sample to be tested based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors includes: Obtaining radioactive activities of the plurality of detection areas according to the detection efficiency information of the plurality of detectors and the collected detection results; The radioactivity distribution of the sample to be tested is determined according to the radioactivity corresponding to the multiple detection areas.

7. The radiation spatial distribution reconstruction method according to claim 1, characterized in that: Determining the radioactivity distribution of the sample to be tested according to the radioactivity corresponding to the multiple detection areas includes: According to the radioactive activities corresponding to the multiple detection areas, the radioactive activity data of each detection area of ​​the sample to be tested is interpolated by a three-dimensional space interpolation method to obtain a three-dimensional thermodynamic distribution diagram of the radioactive activity of the sample to be tested; According to the three-dimensional thermodynamic distribution diagram, the location of the radioactive hot spot in the sample to be tested and the radioactivity of the radioactive hot spot are determined.

8. A radiation spatial distribution reconstruction system, characterized in that: Applied to a detection device, the detection device comprises a cavity and a plurality of detectors, the cavity is used to accommodate a sample to be tested, and the plurality of detectors are distributed at intervals along the wall of the cavity; The radiation spatial distribution reconstruction system comprises: A first information acquisition module, used to obtain detection results of the multiple detectors on the sample to be tested; A second information acquisition module is used to acquire attribute information of the sample to be tested, wherein the attribute information includes geometric information; A partitioning module, which divides the sample to be tested into a plurality of detection areas based on the geometric information of the sample to be tested; A detection efficiency acquisition module, used to acquire detection efficiency information of the multiple detectors, wherein the detection efficiency information includes the detection efficiency of the detector for each of the detection areas; A reconstruction module obtains the radioactivity distribution of the sample to be tested based on the detection results collected by the multiple detectors and the detection efficiency information of the multiple detectors.

9. A computer device, characterized in that: include: Processor and memory; The memory is used to store computer programs; The processor is connected to the memory, and the processor is used to execute the computer program stored in the memory, so that the computer device executes the radiation spatial distribution reconstruction method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the radiation spatial distribution reconstruction method according to any one of claims 1 to 7 is implemented.

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