Material identification method and system based on dual-energy radiation and medium

Abstract

The embodiment of the invention provides a material identification method and system based on dual-energy radiation and a medium, and the method comprises the steps: collecting a radiation signal of a dual-energy X-ray, carrying out the preprocessing of the radiation signal, and generating a radiation parameter; generating initial radiation state information based on radiation parameter analysis, performing transmission analysis on the to-be-detected material according to the initial radiation state information, and generating an analysis result; inputting the analysis result into a recognition model to obtain recognition sample data, and obtaining element type information of the material based on a set recognition rule; attribute information and material information of the material are generated based on the element type information of the material, and an identification result is generated; transmitting the identification result to the terminal according to a preset mode; by using the transmission principle of the dual-energy X-ray, different materials correspond to different transmission characteristics, so that the attributes and materials of the materials are accurately analyzed according to the analysis result, different materials are accurately and efficiently identified, and the identification precision is improved.

Description

Technical Field

[0001] The present application relates to the technical field of material identification, and in particular to a material identification method, system and medium based on dual-energy radiation. Background Art

[0002] X-ray transmission analysis technology is a new technology that uses the different degrees of absorption of high and low energy X-rays by materials to identify and classify materials. It is not affected by the surface conditions of the materials and has a large detection thickness. The existing material identification methods do not use the transmission principle of dual-energy X-rays and analyze the properties and materials of the materials by analyzing the transmission characteristics. The accuracy of material analysis and identification is low. Effective technical solutions are urgently needed for the above problems. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a material identification method, system and medium based on dual-energy radiation. By using the transmission principle of dual-energy X-rays, different materials correspond to different transmission characteristics, so as to accurately analyze the properties and materials of the materials according to the analysis results, accurately and efficiently identify different materials, and improve the recognition accuracy.

[0004] The embodiment of the present application also provides a material identification method based on dual-energy radiation, including:

[0005] Collecting radiation signals of dual-energy X-rays, preprocessing the radiation signals, and generating radiation parameters;

[0006] Generate initial radiation state information based on radiation parameter analysis, perform transmission analysis on the material to be tested based on the initial radiation state information, and generate analysis results;

[0007] Input the analysis results into the recognition model to obtain the recognition sample data, and obtain the element type information of the material based on the set recognition rules;

[0008] Generate material attribute information and material information based on the element type information of the material, and generate recognition results;

[0009] The recognition result is transmitted to the terminal in a predetermined manner.

[0010] Optionally, in the dual-energy radiation-based material identification method described in the embodiment of the present application, collecting the radiation signal of the dual-energy X-ray, preprocessing the radiation signal, and generating the radiation parameter specifically includes:

[0011] Based on the spectrum characteristics of the radiation signal of dual-energy X-rays, the noise signal is screened out;

[0012] Setting modulation parameters, generating a modulation signal, modulating the noise signal based on the modulation information, and obtaining a modulated dual-energy X-ray radiation signal;

[0013] Calculate the signal-to-noise ratio of the modulated dual-energy X-ray radiation signal, and determine whether the signal-to-noise ratio meets the set condition information;

[0014] If the set condition information is met, the radiation parameters are generated;

[0015] If the set condition information is not met, correction information is generated, the modulation parameters are adjusted based on the correction information, and the modulated dual-energy X-ray radiation signal is secondary modulated until the set condition information is met, and the radiation parameters are generated.

[0016] Optionally, in the dual-energy radiation-based material identification method described in the embodiment of the present application, generating initial radiation state information based on radiation parameter analysis specifically includes:

[0017] Acquiring radiation parameters, wherein the radiation parameters include radiation type, radiation intensity and radiation safety information;

[0018] Based on the radiation intensity, the energy information radiated within a unit solid angle in a given direction per unit time is analyzed, and the radiation level is divided based on the energy information to generate radiation intensities of multiple radiation levels;

[0019] Acquire the irradiation dose, divide the irradiation dose into multiple dose ranges, and generate irradiation dose values ​​corresponding to multiple radiation intensities;

[0020] Pair the radiation intensity of the same radiation level with the corresponding irradiation dose value to generate radiation parameters for each radiation level;

[0021] Initial radiation state information of the corresponding radiation level is generated based on the radiation parameters of each radiation level.

[0022] Optionally, in the dual-energy radiation-based material identification method described in the embodiment of the present application, transmission analysis is performed on the material to be detected according to the initial radiation state information to generate an analysis result, which specifically includes:

[0023] Acquire initial radiation state information, and perform transmission analysis on the material to be tested based on the initial radiation state information;

[0024] Based on the relationship between X-ray absorption coefficient and material, calculate the transmission thickness and energy absorption information of X-rays of various energies in different materials;

[0025] The attenuation information of X-rays is analyzed based on the transmission thickness and energy absorption information of X-rays, and the analysis results are obtained according to the attenuation characteristics of X-rays in different substances.

[0026] Optionally, in the dual-energy radiation-based material identification method described in the embodiment of the present application, the analysis result is input into the identification model to obtain identification sample data, and the element type information of the material is obtained based on the set identification rules, specifically including:

[0027] Build a recognition model based on big data, and iteratively train the recognition model to obtain training results;

[0028] Determining whether the training result converges;

[0029] If converged, the final recognition model is generated, and recognition sample data is generated based on the final recognition model;

[0030] Classify the recognition sample data to obtain recognition sample data of different categories, and establish different recognition rules according to different categories;

[0031] Based on different recognition rules, element type recognition is performed on different types of recognition sample data to obtain element type information of different categories;

[0032] If it does not converge, adjust the model parameters.

[0033] Optionally, in the dual-energy radiation-based material identification method described in the embodiment of the present application, generating the material attribute information and material information based on the element type information of the material, and generating the identification result specifically includes:

[0034] Obtaining the element type information of the material, and analyzing the element properties and the element contents of the corresponding element properties based on the element type information of the material;

[0035] Compare the element properties and the element contents of the corresponding element properties with the element table of the standard material to obtain comparison difference information;

[0036] Analyze the comparison interval in the element table corresponding to the comparison difference information according to the comparison difference information to obtain the comparison result;

[0037] The material attribute information and material information are generated according to the comparison results to obtain the recognition result.

[0038] In a second aspect, an embodiment of the present application provides a material identification system based on dual-energy radiation, the system comprising: a memory and a processor, the memory comprising a program of a material identification method based on dual-energy radiation, and the program of the material identification method based on dual-energy radiation is executed by the processor to implement the following steps:

[0039] Collecting radiation signals of dual-energy X-rays, preprocessing the radiation signals, and generating radiation parameters;

[0040] Generate initial radiation state information based on radiation parameter analysis, perform transmission analysis on the material to be tested based on the initial radiation state information, and generate analysis results;

[0041] Input the analysis results into the recognition model to obtain the recognition sample data, and obtain the element type information of the material based on the set recognition rules;

[0042] Generate material attribute information and material information based on the element type information of the material, and generate recognition results;

[0043] The recognition result is transmitted to the terminal in a predetermined manner.

[0044] Optionally, in the dual-energy radiation-based material identification system described in the embodiment of the present application, collecting the radiation signal of the dual-energy X-ray, preprocessing the radiation signal, and generating the radiation parameter specifically includes:

[0045] Based on the spectrum characteristics of the radiation signal of dual-energy X-rays, the noise signal is screened out;

[0046] Setting modulation parameters, generating a modulation signal, modulating the noise signal based on the modulation information, and obtaining a modulated dual-energy X-ray radiation signal;

[0047] Calculate the signal-to-noise ratio of the modulated dual-energy X-ray radiation signal, and determine whether the signal-to-noise ratio meets the set condition information;

[0048] If the set condition information is met, the radiation parameters are generated;

[0049] If the set condition information is not met, correction information is generated, the modulation parameters are adjusted based on the correction information, and the modulated dual-energy X-ray radiation signal is secondary modulated until the set condition information is met, and the radiation parameters are generated.

[0050] Optionally, in the dual-energy radiation-based material identification system described in the embodiment of the present application, generating initial radiation state information based on radiation parameter analysis specifically includes:

[0051] Acquiring radiation parameters, wherein the radiation parameters include radiation type, radiation intensity and radiation safety information;

[0052] Based on the radiation intensity, the energy information radiated within a unit solid angle in a given direction per unit time is analyzed, and the radiation level is divided based on the energy information to generate radiation intensities of multiple radiation levels;

[0053] Acquire the irradiation dose, divide the irradiation dose into multiple dose ranges, and generate irradiation dose values ​​corresponding to multiple radiation intensities;

[0054] Pair the radiation intensity of the same radiation level with the corresponding irradiation dose value to generate radiation parameters for each radiation level;

[0055] Initial radiation state information of the corresponding radiation level is generated based on the radiation parameters of each radiation level.

[0056] In a third aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a material identification method program based on dual-energy radiation. When the material identification method program based on dual-energy radiation is executed by a processor, the steps of the material identification method based on dual-energy radiation as described in any one of the above items are implemented.

[0057] As can be seen from the above, the embodiment of the present application provides a material identification method, system and medium based on dual-energy radiation, which collects the radiation signal of dual-energy X-rays, pre-processes the radiation signal, and generates radiation parameters; generates initial radiation state information based on radiation parameter analysis, and performs transmission analysis on the material to be detected according to the initial radiation state information to generate analysis results; inputs the analysis results into the recognition model to obtain recognition sample data, and obtains the element type information of the material based on the set recognition rules; generates material attribute information and material information based on the element type information of the material, and generates recognition results; transmits the recognition results to the terminal in a predetermined manner; by using the transmission principle of dual-energy X-rays, different materials correspond to different transmission characteristics, so that the properties and materials of the materials are accurately analyzed according to the analysis results, and different materials are accurately and efficiently identified, thereby improving the recognition accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0059] Figure 1 A flow chart of a material identification method based on dual-energy radiation provided in an embodiment of the present application;

[0060] Figure 2 A flow chart of a radiation parameter analysis method for a material identification method based on dual-energy radiation provided in an embodiment of the present application;

[0061] Figure 3 A flow chart of a method for acquiring initial radiation state information of a material identification method based on dual-energy radiation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0063] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0064] Please refer to Figure 1 , Figure 1 This is a flow chart of a material identification method based on dual-energy radiation in some embodiments of the present application. The material identification method based on dual-energy radiation is used in a terminal device, and the material identification method based on dual-energy radiation includes the following steps:

[0065] S101, collecting radiation signals of dual-energy X-rays, preprocessing the radiation signals, and generating radiation parameters;

[0066] S102, generating initial radiation state information based on radiation parameter analysis, performing transmission analysis on the material to be tested according to the initial radiation state information, and generating analysis results;

[0067] S103, inputting the analysis results into the recognition model to obtain recognition sample data, and obtaining the element type information of the material based on the set recognition rules;

[0068] S104, generating attribute information and material information of the material based on the element type information of the material, and generating a recognition result;

[0069] S105: Transmit the recognition result to the terminal in a predetermined manner.

[0070] It should be noted that by performing transmission analysis on the material to be tested through the radiation signal of dual-energy X-rays, the element type can be obtained, which can accurately identify the properties and material of the material and improve the recognition accuracy.

[0071] Please refer to Figure 2 , Figure 2This is a flow chart of a radiation parameter analysis method of a material identification method based on dual-energy radiation in some embodiments of the present application. According to an embodiment of the present invention, collecting a radiation signal of a dual-energy X-ray, preprocessing the radiation signal, and generating radiation parameters specifically include:

[0072] S201, filtering out noise signals based on the frequency spectrum characteristics of the dual-energy X-ray radiation signal;

[0073] S202, setting modulation parameters, generating a modulation signal, modulating the noise signal based on the modulation information, and obtaining a modulated dual-energy X-ray radiation signal;

[0074] S203, calculating the signal-to-noise ratio of the modulated dual-energy X-ray radiation signal, and determining whether the signal-to-noise ratio satisfies the set condition information;

[0075] S204, if the set condition information is met, generating radiation parameters;

[0076] S205, if the set condition information is not met, then generate correction information, adjust the modulation parameters based on the correction information, perform secondary modulation on the modulated dual-energy X-ray radiation signal until the set condition information is met, and generate radiation parameters.

[0077] It should be noted that according to the spectral characteristics of the radiation signal, the radiation signal is screened for noise, the noise signal is accurately obtained, the noise information is modulated by the modulation signal, and the signal-to-noise ratio of the modulated radiation signal is analyzed to see whether it meets the requirements, so as to dynamically modify the modulation parameters, improve the modulation accuracy, and ensure that the modulated radiation signal meets the requirements.

[0078] Please refer to Figure 3 , Figure 3 The following is a flow chart of a method for obtaining initial radiation state information of a material identification method based on dual-energy radiation in some embodiments of the present application. According to an embodiment of the present invention, generating initial radiation state information based on radiation parameter analysis specifically includes:

[0079] S301, obtaining radiation parameters, wherein the radiation parameters include radiation type, radiation intensity and radiation safety information;

[0080] S302, analyzing energy information radiated within a unit solid angle in a given direction within a unit time based on radiation intensity, dividing radiation levels based on the energy information, and generating radiation intensities of multiple radiation levels;

[0081] S303, obtaining an irradiation dose, dividing the irradiation dose into multiple dose ranges, and generating irradiation dose values ​​corresponding to multiple radiation intensities;

[0082] S304, pairing the radiation intensity of the same radiation level with the corresponding irradiation dose value to generate radiation parameters for each radiation level;

[0083] S305: Generate initial radiation state information corresponding to each radiation level based on the radiation parameters of each radiation level.

[0084] It should be noted that according to quantum theory and radiation measurement principles, the number of photoelectrons excited by light is proportional to the number of photons projected onto the detector. Therefore, the radiation intensity of X-rays can be analyzed through the photoelectron statistical signal of the detector, thereby establishing radiation parameters of different radiation levels according to different irradiation doses and radiation intensities, and obtaining initial radiation state information of different radiation levels.

[0085] According to an embodiment of the present invention, a transmission analysis is performed on the material to be detected according to the initial radiation state information to generate an analysis result, which specifically includes:

[0086] Acquire initial radiation state information, and perform transmission analysis on the material to be tested based on the initial radiation state information;

[0087] Based on the relationship between X-ray absorption coefficient and material, calculate the transmission thickness and energy absorption information of X-rays of various energies in different materials;

[0088] The attenuation information of X-rays is analyzed based on the transmission thickness and energy absorption information of X-rays, and the analysis results are obtained according to the attenuation characteristics of X-rays in different substances.

[0089] It should be noted that by analyzing the X-ray energy absorption information and the X-ray attenuation information of the material to be detected, the attenuation characteristics of the X-rays are accurately analyzed, so that the type of the material to be detected is analyzed according to the attenuation characteristics of different materials.

[0090] According to an embodiment of the present invention, the analysis results are input into the recognition model to obtain recognition sample data, and the element type information of the material is obtained based on the set recognition rules, which specifically includes:

[0091] Build a recognition model based on big data, and iteratively train the recognition model to obtain training results;

[0092] Determine whether the training results converge;

[0093] If converged, the final recognition model is generated, and recognition sample data is generated based on the final recognition model;

[0094] Classify the recognition sample data to obtain recognition sample data of different categories, and establish different recognition rules according to different categories;

[0095] Based on different recognition rules, element type recognition is performed on different types of recognition sample data to obtain element type information of different categories;

[0096] If it does not converge, adjust the model parameters.

[0097] It should be noted that by establishing a training set through big data, the recognition model is continuously trained according to the training set to improve the recognition accuracy of the recognition model, so that the recognition model has learning ability, and the model parameters are continuously adjusted during the learning process of the recognition model to improve the output accuracy of the recognition model.

[0098] According to an embodiment of the present invention, the attribute information and material information of the material are generated based on the element type information of the material, and the recognition result is generated, which specifically includes:

[0099] Obtaining the element type information of the material, and analyzing the element properties and the element contents of the corresponding element properties based on the element type information of the material;

[0100] Compare the element properties and the element contents of the corresponding element properties with the element table of the standard material to obtain comparison difference information;

[0101] Analyze the comparison interval in the element table corresponding to the comparison difference information according to the comparison difference information to obtain the comparison result;

[0102] The material attribute information and material information are generated according to the comparison results to obtain the recognition result.

[0103] It should be noted that, according to the element properties and element content of the material, the element table of the standard material is compared, so as to accurately identify the similarity between the material to be tested and the standard material, and obtain the property information and material information of the material to be tested.

[0104] According to an embodiment of the present invention, the method further includes: acquiring a radiation signal of a dual-energy X-ray, and detecting a material to be detected based on the radiation signal of the X-ray;

[0105] Obtain the incident angle and the exit angle of the dual-energy X-ray;

[0106] Subtract the incident angle from the exit angle to get the angle difference;

[0107] Analyze the absorption information of dual-energy X-rays based on the angle difference;

[0108] Analyze the property information and absorption characteristic information of the material to be tested based on the absorption information;

[0109] The material and property information of the material to be tested is analyzed based on the absorption characteristic table of the standard material to obtain the analysis result.

[0110] It should be noted that different materials have different absorption characteristics of dual-energy X-rays. By analyzing the incident angle and the emission angle of the dual-energy X-rays, the absorption characteristic information of the material to be tested is determined, and compared with the absorption characteristic table of standard materials, the material material can be accurately obtained and the material to be tested can be identified.

[0111] In a second aspect, an embodiment of the present application provides a material identification system based on dual-energy radiation, the system comprising: a memory and a processor, the memory comprising a program of a material identification method based on dual-energy radiation, and when the program of the material identification method based on dual-energy radiation is executed by the processor, the following steps are implemented:

[0112] Collecting radiation signals of dual-energy X-rays, preprocessing the radiation signals, and generating radiation parameters;

[0113] Generate initial radiation state information based on radiation parameter analysis, perform transmission analysis on the material to be tested based on the initial radiation state information, and generate analysis results;

[0114] Input the analysis results into the recognition model to obtain the recognition sample data, and obtain the element type information of the material based on the set recognition rules;

[0115] Generate material attribute information and material information based on the element type information of the material, and generate recognition results;

[0116] The recognition result is transmitted to the terminal in a predetermined manner.

[0117] It should be noted that by performing transmission analysis on the material to be tested through the radiation signal of dual-energy X-rays, the element type can be obtained, which can accurately identify the properties and material of the material and improve the recognition accuracy.

[0118] According to an embodiment of the present invention, collecting a radiation signal of a dual-energy X-ray, preprocessing the radiation signal, and generating radiation parameters specifically include:

[0119] Based on the spectrum characteristics of the radiation signal of dual-energy X-rays, the noise signal is screened out;

[0120] Setting modulation parameters, generating a modulation signal, modulating the noise signal based on the modulation information, and obtaining a modulated dual-energy X-ray radiation signal;

[0121] Calculate the signal-to-noise ratio of the modulated dual-energy X-ray radiation signal, and determine whether the signal-to-noise ratio meets the set condition information;

[0122] If the set condition information is met, the radiation parameters are generated;

[0123] If the set condition information is not met, correction information is generated, the modulation parameters are adjusted based on the correction information, and the modulated dual-energy X-ray radiation signal is secondary modulated until the set condition information is met, and the radiation parameters are generated.

[0124] It should be noted that according to the spectral characteristics of the radiation signal, the radiation signal is screened for noise, the noise signal is accurately obtained, the noise information is modulated by the modulation signal, and the signal-to-noise ratio of the modulated radiation signal is analyzed to see whether it meets the requirements, so as to dynamically modify the modulation parameters, improve the modulation accuracy, and ensure that the modulated radiation signal meets the requirements.

[0125] According to an embodiment of the present invention, generating initial radiation state information based on radiation parameter analysis specifically includes:

[0126] Acquiring radiation parameters, wherein the radiation parameters include radiation type, radiation intensity and radiation safety information;

[0127] Based on the radiation intensity, the energy information radiated within a unit solid angle in a given direction per unit time is analyzed, and the radiation level is divided based on the energy information to generate radiation intensities of multiple radiation levels;

[0128] Acquire the irradiation dose, divide the irradiation dose into multiple dose ranges, and generate irradiation dose values ​​corresponding to multiple radiation intensities;

[0129] Pair the radiation intensity of the same radiation level with the corresponding irradiation dose value to generate radiation parameters for each radiation level;

[0130] Initial radiation state information of the corresponding radiation level is generated based on the radiation parameters of each radiation level.

[0131] It should be noted that according to quantum theory and radiation measurement principles, the number of photoelectrons excited by light is proportional to the number of photons projected onto the detector. Therefore, the radiation intensity of X-rays can be analyzed through the photoelectron statistical signal of the detector, thereby establishing radiation parameters of different radiation levels according to different irradiation doses and radiation intensities, and obtaining initial radiation state information of different radiation levels.

[0132] According to an embodiment of the present invention, a transmission analysis is performed on the material to be detected according to the initial radiation state information to generate an analysis result, which specifically includes:

[0133] Acquire initial radiation state information, and perform transmission analysis on the material to be tested based on the initial radiation state information;

[0134] Based on the relationship between X-ray absorption coefficient and material, calculate the transmission thickness and energy absorption information of X-rays of various energies in different materials;

[0135] The attenuation information of X-rays is analyzed based on the transmission thickness and energy absorption information of X-rays, and the analysis results are obtained according to the attenuation characteristics of X-rays in different substances.

[0136] It should be noted that by analyzing the X-ray energy absorption information and the X-ray attenuation information of the material to be detected, the attenuation characteristics of the X-rays are accurately analyzed, so that the type of the material to be detected is analyzed according to the attenuation characteristics of different materials.

[0137] According to an embodiment of the present invention, the analysis results are input into the recognition model to obtain recognition sample data, and the element type information of the material is obtained based on the set recognition rules, which specifically includes:

[0138] Build a recognition model based on big data, and iteratively train the recognition model to obtain training results;

[0139] Determine whether the training results converge;

[0140] If converged, the final recognition model is generated, and recognition sample data is generated based on the final recognition model;

[0141] Classify the recognition sample data to obtain recognition sample data of different categories, and establish different recognition rules according to different categories;

[0142] Based on different recognition rules, element type recognition is performed on different types of recognition sample data to obtain element type information of different categories;

[0143] If it does not converge, adjust the model parameters.

[0144] It should be noted that by establishing a training set through big data, the recognition model is continuously trained according to the training set to improve the recognition accuracy of the recognition model, so that the recognition model has learning ability, and the model parameters are continuously adjusted during the learning process of the recognition model to improve the output accuracy of the recognition model.

[0145] According to an embodiment of the present invention, the attribute information and material information of the material are generated based on the element type information of the material, and the recognition result is generated, which specifically includes:

[0146] Obtaining the element type information of the material, and analyzing the element properties and the element contents of the corresponding element properties based on the element type information of the material;

[0147] Compare the element properties and the element contents of the corresponding element properties with the element table of the standard material to obtain comparison difference information;

[0148] Analyze the comparison interval in the element table corresponding to the comparison difference information according to the comparison difference information to obtain the comparison result;

[0149] The material attribute information and material information are generated according to the comparison results to obtain the recognition result.

[0150] It should be noted that, according to the element properties and element content of the material, the element table of the standard material is compared, so as to accurately identify the similarity between the material to be tested and the standard material, and obtain the property information and material information of the material to be tested.

[0151] According to an embodiment of the present invention, the method further includes: acquiring a radiation signal of a dual-energy X-ray, and detecting a material to be detected based on the radiation signal of the X-ray;

[0152] Obtain the incident angle and the exit angle of the dual-energy X-ray;

[0153] Subtract the incident angle from the exit angle to get the angle difference;

[0154] Analyze the absorption information of dual-energy X-rays based on the angle difference;

[0155] Analyze the property information and absorption characteristic information of the material to be tested based on the absorption information;

[0156] The material and property information of the material to be tested is analyzed based on the absorption characteristic table of the standard material to obtain the analysis result.

[0157] It should be noted that different materials have different absorption characteristics of dual-energy X-rays. By analyzing the incident angle and the emission angle of the dual-energy X-rays, the absorption characteristic information of the material to be tested is determined, and compared with the absorption characteristic table of standard materials, the material material can be accurately obtained and the material to be tested can be identified.

[0158] A third aspect of the present invention provides a computer-readable storage medium, which includes a material identification method program based on dual-energy radiation. When the material identification method program based on dual-energy radiation is executed by a processor, the steps of the material identification method based on dual-energy radiation as described above are implemented.

[0159] The present invention discloses a material identification method, system and medium based on dual-energy radiation. The method collects radiation signals of dual-energy X-rays, pre-processes the radiation signals and generates radiation parameters; generates initial radiation state information based on radiation parameter analysis, performs transmission analysis on the material to be detected according to the initial radiation state information and generates analysis results; inputs the analysis results into a recognition model to obtain recognition sample data, obtains element type information of the material based on set recognition rules; generates material attribute information and material information based on the element type information of the material and generates recognition results; transmits the recognition results to a terminal in a predetermined manner; uses the transmission principle of dual-energy X-rays to correspond to different transmission characteristics in different materials, thereby accurately analyzing the attributes and materials of the material according to the analysis results, accurately and efficiently identifying different materials and improving recognition accuracy.

[0160] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0161] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0162] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0163] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0164] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A material identification method based on dual-energy radiation, characterized in that: include: Collecting radiation signals of dual-energy X-rays, preprocessing the radiation signals, and generating radiation parameters; Generate initial radiation state information based on radiation parameter analysis, perform transmission analysis on the material to be tested based on the initial radiation state information, and generate analysis results; Input the analysis results into the recognition model to obtain the recognition sample data, and obtain the element type information of the material based on the set recognition rules; Generate material attribute information and material information based on the element type information of the material, and generate recognition results; The recognition result is transmitted to the terminal in a predetermined manner.

2. The material identification method based on dual-energy radiation according to claim 1, characterized in that: Collect the radiation signal of dual-energy X-ray, pre-process the radiation signal, and generate radiation parameters, including: Based on the spectrum characteristics of the radiation signal of dual-energy X-rays, the noise signal is screened out; Setting modulation parameters, generating a modulation signal, modulating the noise signal based on the modulation information, and obtaining a modulated dual-energy X-ray radiation signal; Calculate the signal-to-noise ratio of the modulated dual-energy X-ray radiation signal, and determine whether the signal-to-noise ratio meets the set condition information; If the set condition information is met, the radiation parameters are generated; If the set condition information is not met, correction information is generated, the modulation parameters are adjusted based on the correction information, and the modulated dual-energy X-ray radiation signal is secondary modulated until the set condition information is met, and the radiation parameters are generated.

3. The material identification method based on dual-energy radiation according to claim 2, characterized in that: Generate initial radiation status information based on radiation parameter analysis, including: Acquiring radiation parameters, wherein the radiation parameters include radiation type, radiation intensity and radiation safety information; Based on the radiation intensity, the energy information radiated within a unit solid angle in a given direction per unit time is analyzed, and the radiation level is divided based on the energy information to generate radiation intensities of multiple radiation levels; Acquire the irradiation dose, divide the irradiation dose into multiple dose ranges, and generate irradiation dose values ​​corresponding to multiple radiation intensities; Pair the radiation intensity of the same radiation level with the corresponding irradiation dose value to generate radiation parameters for each radiation level; Initial radiation state information of the corresponding radiation level is generated based on the radiation parameters of each radiation level.

4. The material identification method based on dual-energy radiation according to claim 3, characterized in that: According to the initial radiation state information, the material to be tested is subjected to transmission analysis to generate analysis results, including: Acquire initial radiation state information, and perform transmission analysis on the material to be tested based on the initial radiation state information; Based on the relationship between X-ray absorption coefficient and material, calculate the transmission thickness and energy absorption information of X-rays of various energies in different materials; The attenuation information of X-rays is analyzed based on the transmission thickness and energy absorption information of X-rays, and the analysis results are obtained according to the attenuation characteristics of X-rays in different substances.

5. The material identification method based on dual-energy radiation according to claim 4, characterized in that: The analysis results are input into the recognition model to obtain the recognition sample data, and the element type information of the material is obtained based on the set recognition rules, including: Build a recognition model based on big data, and iteratively train the recognition model to obtain training results; Determining whether the training result converges; If converged, the final recognition model is generated, and recognition sample data is generated based on the final recognition model; Classify the recognition sample data to obtain recognition sample data of different categories, and establish different recognition rules according to different categories; Based on different recognition rules, element type recognition is performed on different types of recognition sample data to obtain element type information of different categories; If it does not converge, adjust the model parameters.

6. The material identification method based on dual-energy radiation according to claim 5, characterized in that: Generate material attribute information and material information based on the material element type information, and generate recognition results, including: Obtaining the element type information of the material, and analyzing the element properties and the element contents of the corresponding element properties based on the element type information of the material; Compare the element properties and the element contents of the corresponding element properties with the element table of the standard material to obtain comparison difference information; Analyze the comparison interval in the element table corresponding to the comparison difference information according to the comparison difference information to obtain the comparison result; The material attribute information and material information are generated according to the comparison results to obtain the recognition result.

7. A material identification system based on dual-energy radiation, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a material identification method based on dual-energy radiation, and when the program of the material identification method based on dual-energy radiation is executed by the processor, the following steps are implemented: Collecting radiation signals of dual-energy X-rays, preprocessing the radiation signals, and generating radiation parameters; Generate initial radiation state information based on radiation parameter analysis, perform transmission analysis on the material to be tested based on the initial radiation state information, and generate analysis results; Input the analysis results into the recognition model to obtain the recognition sample data, and obtain the element type information of the material based on the set recognition rules; Generate material attribute information and material information based on the element type information of the material, and generate recognition results; The recognition result is transmitted to the terminal in a predetermined manner.

8. The dual-energy radiation-based material identification system according to claim 7, characterized in that: Collect the radiation signal of dual-energy X-ray, pre-process the radiation signal, and generate radiation parameters, including: Based on the spectrum characteristics of the radiation signal of dual-energy X-rays, the noise signal is screened out; Setting modulation parameters, generating a modulation signal, modulating the noise signal based on the modulation information, and obtaining a modulated dual-energy X-ray radiation signal; Calculate the signal-to-noise ratio of the modulated dual-energy X-ray radiation signal, and determine whether the signal-to-noise ratio meets the set condition information; If the set condition information is met, the radiation parameters are generated; If the set condition information is not met, correction information is generated, the modulation parameters are adjusted based on the correction information, and the modulated dual-energy X-ray radiation signal is secondary modulated until the set condition information is met, and the radiation parameters are generated.

9. The dual-energy radiation-based material identification system according to claim 8, characterized in that: Generate initial radiation status information based on radiation parameter analysis, including: Acquiring radiation parameters, wherein the radiation parameters include radiation type, radiation intensity and radiation safety information; Based on the radiation intensity, the energy information radiated within a unit solid angle in a given direction per unit time is analyzed, and the radiation level is divided based on the energy information to generate radiation intensities of multiple radiation levels; Acquire the irradiation dose, divide the irradiation dose into multiple dose ranges, and generate irradiation dose values ​​corresponding to multiple radiation intensities; Pair the radiation intensity of the same radiation level with the corresponding irradiation dose value to generate radiation parameters for each radiation level; Initial radiation state information of the corresponding radiation level is generated based on the radiation parameters of each radiation level.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a material identification method program based on dual-energy radiation. When the material identification method program based on dual-energy radiation is executed by a processor, the steps of the material identification method based on dual-energy radiation as described in any one of claims 1 to 6 are implemented.

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