Security check radiation source control method and system and medium

Abstract

The invention provides a security check radiation source control method and system and a medium. The method comprises the following steps: acquiring energy output data of a radiation source for analysis and processing to obtain a theoretical ray penetrating power evaluation index of the radiation source, then acquiring environmental parameter data and detector parameter data for analysis and processing to obtain a ray penetrating power influence coefficient, and correcting the theoretical ray penetrating power evaluation index to obtain a ray penetrating power evaluation result of the radiation source. Obtaining a real-time ray penetrating power evaluation index, comparing the real-time ray penetrating power evaluation index with a preset ray penetrating power evaluation threshold value, and adjusting the radiation parameters of the security check radiation source according to a threshold value comparison result; according to the method, the influence coefficient is generated by using the environmental parameter data influencing the penetrating power and the detector parameter data, the theoretical ray penetrating power evaluation index is corrected, and intelligent adaptive adjustment of the radiation parameters of the security check radiation source is realized through threshold comparison.

Description

Technical Field

[0001] The present application relates to the field of security inspection technology, and in particular to a security inspection radiation source control method, system and medium. Background Art

[0002] With the improvement of safety awareness, various security inspection equipment has been basically popularized in places such as airports, railway stations, subway stations and large activity centers, providing strong protection for safety. However, at present, various types of security inspection equipment work in a specific mode after being turned on and used, and cannot adaptively adjust the parameters of the radiation source according to specific security inspection requirements. Faced with complex security inspection environments, insufficient monitoring or excessive radiation may occur, which will bring corresponding safety hazards or energy waste.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide a security inspection radiation source control method, system and medium, which can generate an influence coefficient by utilizing environmental parameter data and detector parameter data that affect penetration, correct the theoretical radiation penetration evaluation index, and then realize intelligent adaptive adjustment of the radiation parameters of the security inspection radiation source through threshold comparison.

[0005] The present application also provides a security inspection radiation source control method, comprising the following steps:

[0006] Obtain energy output data of the radiation source;

[0007] Analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source;

[0008] Obtaining environmental parameter data and detector parameter data;

[0009] The radiation penetration influence coefficient is obtained by analyzing and processing the environmental parameter data and the detector parameter data;

[0010] The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index;

[0011] The real-time radiation penetration evaluation index is compared with a preset radiation penetration evaluation threshold, and the radiation parameters of the security inspection radiation source are adjusted according to the threshold comparison result.

[0012] Optionally, in the security inspection radiation source control method described in the present application, the analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source includes:

[0013] The energy output data includes X-ray intensity data, energy distribution data and energy stability data;

[0014] The X-ray intensity data, energy distribution data and energy stability data are input into a preset radiation source radiation penetration evaluation model for analysis and processing to obtain a theoretical radiation penetration evaluation index of the radiation source.

[0015] Optionally, in the security inspection radiation source control method described in the present application, the step of obtaining the radiation penetration influence coefficient according to the analysis and processing of the environmental parameter data and the detector parameter data includes:

[0016] The environmental parameter data includes temperature data, humidity data and interference electromagnetic intensity data;

[0017] The detector parameter data includes sensitivity data, energy resolution data, and photoelectric conversion rate data;

[0018] The radiation penetration influence coefficient is obtained by analyzing and processing the temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data, and photoelectric conversion rate data.

[0019] Optionally, in the security inspection radiation source control method described in the present application, the step of correcting the theoretical radiation penetration evaluation index according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index includes:

[0020] The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index;

[0021] The real-time radiation penetration evaluation index calculation formula is:

[0022]

[0023] Among them, p r is the theoretical radiation penetration evaluation index, p i 、c i They are respectively the theoretical radiation penetration evaluation index and the radiation penetration influence coefficient. is the preset characteristic coefficient.

[0024] Optionally, the security inspection radiation source control method described in the present application further includes:

[0025] Obtaining radiation dose rate data, energy distribution data and vacuum degree data emitted by the radiation source vacuum tube;

[0026] Acquire current data and voltage data of the cathode filament of the radiation source;

[0027] Inputting the radiation dose rate data, energy distribution data and vacuum degree data as well as the current data and voltage data into a preset radiation source vacuum tube life attenuation evaluation model for analysis and processing to obtain a radiation source vacuum tube life attenuation index;

[0028] Performing a threshold comparison between the lifetime decay index and a preset lifetime decay threshold, and determining a real-time relative decay value of the radiation source vacuum tube according to the threshold comparison result;

[0029] Performing a threshold comparison between the real-time attenuation relative value and a preset attenuation level threshold, and determining attenuation level information according to the threshold comparison result;

[0030] The attenuation level information is sent to the background for display.

[0031] Optionally, the security inspection radiation source control method described in the present application further includes:

[0032] Obtain real-time image information of the target being measured;

[0033] Obtain real-time radiation monitoring image information of the target being measured;

[0034] Comparing the real-time image information with the real-time radiation monitoring image information for similarity to obtain real-time image similarity;

[0035] Performing a threshold comparison between the real-time image similarity and a preset image similarity threshold;

[0036] If it is less than the preset image similarity threshold, radiation monitoring will continue;

[0037] If it is greater than or equal to the preset image similarity threshold, the radiation source shutdown response is activated.

[0038] Optionally, the security inspection radiation source control method described in the present application further includes:

[0039] Acquiring preset radiation source parameter data and preset collimator parameter data;

[0040] Obtaining preset radiation beam divergence angle data;

[0041] Obtaining distance data from the radiation source to the target and extreme size data of the target;

[0042] Inputting the extreme size data and distance data into a preset radiation beam divergence angle requirement model for analysis and processing to obtain radiation beam divergence angle requirement data;

[0043] Obtaining a radiation beam divergence angle deviation rate according to the preset radiation beam divergence angle data and the radiation beam divergence angle requirement data;

[0044] Performing a threshold comparison of the radiation beam divergence angle deviation rate with a preset radiation beam divergence angle deviation threshold;

[0045] If it is less than or equal to the preset radiation beam divergence angle deviation first threshold, no adjustment is made;

[0046] If it is greater than a preset radiation beam divergence angle deviation first threshold value and less than or equal to a preset radiation beam divergence angle deviation second threshold value, adjusting the preset collimator parameter data;

[0047] If it is greater than a preset radiation beam divergence angle deviation second threshold, the preset radiation source parameter data is adjusted.

[0048] In a second aspect, the present application provides a security inspection radiation source control system, the system comprising: a memory and a processor, the memory comprising a program of a security inspection radiation source control method, and the program of the security inspection radiation source control method is executed by the processor to implement the following steps:

[0049] Obtain energy output data of the radiation source;

[0050] Analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source;

[0051] Obtaining environmental parameter data and detector parameter data;

[0052] The radiation penetration influence coefficient is obtained by analyzing and processing the environmental parameter data and the detector parameter data;

[0053] The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index;

[0054] The real-time radiation penetration evaluation index is compared with a preset radiation penetration evaluation threshold, and the radiation parameters of the security inspection radiation source are adjusted according to the threshold comparison result.

[0055] Optionally, in a security inspection radiation source control system described in the present application, analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source includes:

[0056] The energy output data includes X-ray intensity data, energy distribution data and energy stability data;

[0057] The X-ray intensity data, energy distribution data and energy stability data are input into a preset radiation source radiation penetration evaluation model for analysis and processing to obtain a theoretical radiation penetration evaluation index of the radiation source.

[0058] In a third aspect, the present application also provides a computer-readable storage medium, which stores a security inspection radiation source control method program. When the security inspection radiation source control method program is executed by a processor, the steps of the security inspection radiation source control method as described in any one of the above items are implemented.

[0059] From the above, it can be seen that the security inspection radiation source control method, system and medium provided by the present application generate an influence coefficient by utilizing environmental parameter data and detector parameter data that affect penetration, correct the theoretical radiation penetration evaluation index, and then realize intelligent adaptive adjustment of the radiation parameters of the security inspection radiation source through threshold comparison.

[0060] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] 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.

[0062] Figure 1 A flowchart of a security inspection radiation source control method provided in an embodiment of the present application;

[0063] Figure 2 A flow chart of obtaining a theoretical radiation penetration evaluation index for a security inspection radiation source control method provided in an embodiment of the present application;

[0064] Figure 3 A flow chart for obtaining the radiation penetration influence coefficient of the security inspection radiation source control method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0065] 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.

[0066] 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.

[0067] Please refer to Figure 1 , Figure 1 1 is a flow chart of a security radiation source control method in some embodiments of the present application. The security radiation source control method is used in a terminal device, such as a computer, a mobile phone terminal, etc. The security radiation source control method includes the following steps:

[0068] S11, obtaining energy output data of the radiation source;

[0069] S12, analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source;

[0070] S13, obtaining environmental parameter data and detector parameter data;

[0071] S14, obtaining the radiation penetration influence coefficient according to the environmental parameter data and the detector parameter data through analysis and processing;

[0072] S15, correcting the theoretical radiation penetration evaluation index according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index;

[0073] S16: Perform a threshold comparison between the real-time radiation penetration assessment index and a preset radiation penetration assessment threshold, and adjust the radiation parameters of the security inspection radiation source according to the threshold comparison result.

[0074] It should be noted that, in order to achieve the adjustment and control of various parameters of the security inspection radiation source, the present application first obtains the theoretical radiation penetration index, then obtains the radiation penetration influence coefficient, corrects the theoretical radiation penetration index, obtains the real-time radiation penetration evaluation index, and finally realizes the automatic adjustment of the radiation parameters of the security inspection radiation source through threshold comparison; wherein, the theoretical radiation penetration index is obtained by analyzing and processing the energy output data including X-ray intensity data, energy distribution data and energy stability data, and the environmental parameter data including temperature data, humidity data and interference electromagnetic intensity data and the sensitivity data, energy resolution data, photoelectric conversion rate data are analyzed and processed. The detector parameter data is analyzed and processed to obtain the radiation penetration influence coefficient, the theoretical radiation penetration index is corrected to obtain the real-time radiation penetration evaluation index, and the real-time radiation penetration index is compared with the preset radiation penetration evaluation threshold. If it is less than the preset radiation penetration evaluation threshold, the radiation source parameters are adaptively adjusted; if it is greater than or equal to the preset radiation penetration evaluation threshold, the radiation source parameters are not adjusted; in this embodiment, the preset radiation penetration evaluation threshold is set to (0, 0.8) and [0.8, 1], corresponding to adaptive adjustment and no adjustment of the radiation source parameters, respectively. For example, if the real-time radiation penetration index is 0.7, the radiation source parameters are adaptively adjusted.

[0075] Please refer to Figure 2 , Figure 2 The flowchart of the security inspection radiation source control method for obtaining the theoretical radiation penetration evaluation index in some embodiments of the present application is as follows. According to an embodiment of the present invention, the energy output data is analyzed and processed to obtain the theoretical radiation penetration evaluation index of the radiation source, including:

[0076] S21, the energy output data includes X-ray intensity data, energy distribution data and energy stability data;

[0077] S22, inputting the X-ray intensity data, energy distribution data and energy stability data into a preset radiation source radiation penetration assessment model for analysis and processing, and obtaining a theoretical radiation penetration assessment index of the radiation source.

[0078] It should be noted that penetration is a key indicator of whether security inspection is accurate, thorough and effective. In order to obtain the theoretical radiation penetration evaluation index, the X-ray intensity data, energy distribution data and energy stability data of the radiation source's emitted radiation are input into the preset radiation source radiation penetration evaluation model for analysis and processing to obtain the theoretical radiation penetration evaluation index of the radiation source;

[0079] The calculation formula of the theoretical radiation penetration evaluation index in the radiation source radiation penetration evaluation model is:

[0080]

[0081] Among them, p i is the theoretical radiation penetration evaluation index, s t ,d i ,t s They are X-ray intensity data, energy distribution data and energy stability data respectively, and τ, α1, α2, β are preset characteristic coefficients (the characteristic coefficients are obtained by querying the security radiation monitoring platform).

[0082] Please refer to Figure 3 , Figure 3 The flowchart of obtaining the radiation penetration influence coefficient of the security inspection radiation source control method in some embodiments of the present application. According to the embodiment of the present invention, the analysis and processing of the environmental parameter data and the detector parameter data to obtain the radiation penetration influence coefficient includes:

[0083] S31, the environmental parameter data includes temperature data, humidity data and interference electromagnetic intensity data;

[0084] S32, the detector parameter data includes sensitivity data, energy resolution data, and photoelectric conversion rate data;

[0085] S33. Obtain the radiation penetration influence coefficient based on the analysis and processing of the temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data, and photoelectric conversion rate data.

[0086] It should be noted that different use environments and detectors in different working states have an impact on the penetration of the radiation emitted by the radiation source. Therefore, in order to correct the theoretical radiation penetration evaluation index according to the real-time environment and the working state of the detector, first obtain the environmental parameter data, including temperature data, humidity data and interference electromagnetic intensity data, and then obtain the detector parameter data, including sensitivity data, energy resolution data, and photoelectric conversion rate data. Finally, analyze and process the temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data, and photoelectric conversion rate data to obtain the radiation penetration influence coefficient;

[0087] The calculation formula of the radiation penetration influence coefficient is:

[0088]

[0089] Among them, c i is the radiation penetration coefficient, t e 、h u , g a 、s e ,y e 、p yThey are temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data and photoelectric conversion rate data, π1, π2, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the security inspection radiation monitoring platform).

[0090] According to an embodiment of the present invention, the step of correcting the theoretical radiation penetration evaluation index according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index includes:

[0091] The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index;

[0092] The real-time radiation penetration evaluation index calculation formula is:

[0093]

[0094] Among them, p r is the theoretical radiation penetration evaluation index, p i 、c i They are respectively the theoretical radiation penetration evaluation index and the radiation penetration influence coefficient. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the security inspection radiation monitoring platform).

[0095] It should be noted that in order to more accurately grasp the penetration evaluation index of the radiation source emitted rays, it is necessary to correct the theoretical radiation penetration evaluation index according to the penetration influence coefficient to obtain the real-time radiation penetration evaluation index.

[0096] According to an embodiment of the present invention, it also includes:

[0097] Obtaining radiation dose rate data, energy distribution data and vacuum degree data emitted by the radiation source vacuum tube;

[0098] Acquire current data and voltage data of the cathode filament of the radiation source;

[0099] Inputting the radiation dose rate data, energy distribution data and vacuum degree data as well as the current data and voltage data into a preset radiation source vacuum tube life attenuation evaluation model for analysis and processing to obtain a radiation source vacuum tube life attenuation index;

[0100] Performing a threshold comparison between the lifetime decay index and a preset lifetime decay threshold, and determining a real-time relative decay value of the radiation source vacuum tube according to the threshold comparison result;

[0101] Performing a threshold comparison between the real-time attenuation relative value and a preset attenuation level threshold, and determining attenuation level information according to the threshold comparison result;

[0102] The attenuation level information is sent to the background for display.

[0103] It should be noted that the radiation source vacuum tube is the core component of the security inspection equipment and plays an important role in the generation and control of X-rays. With the use of security inspection, the life of the radiation source vacuum tube will gradually decay. If it is not monitored, the accuracy and efficiency of security inspection will be affected. Therefore, in order to monitor the attenuation level of the radiation source vacuum tube in real time, first obtain the radiation dose rate data, energy distribution data and vacuum data emitted by the radiation source vacuum tube, then obtain the current data and voltage data of the radiation source cathode filament, and then input the radiation dose rate data, energy distribution data, vacuum data, current data and voltage data into the preset radiation source vacuum tube life attenuation evaluation model for analysis and processing to obtain the life attenuation index of the radiation source vacuum tube. The radiation source vacuum tube life attenuation evaluation model is obtained by obtaining the radiation dose rate data, energy distribution data, vacuum data, current data, voltage data and life attenuation index of a large number of historical samples. The model obtained by training the life decay index can obtain the corresponding output life decay index by inputting relevant information for processing; the life decay index is compared with the preset life decay threshold. In this embodiment, the life decay index is calculated to be 20, the preset life decay threshold is 80, and the ratio is 20 / 80=0.25. The threshold comparison result 0.25 is the real-time attenuation relative value; the obtained real-time attenuation relative value is compared with the preset attenuation level threshold to obtain the attenuation level. In this embodiment, the preset attenuation level thresholds (0, 0.4], (0.4, 0.7], (0.7, 1] correspond to the first-order attenuation, the second-order attenuation, and the third-order attenuation, among which the third-order attenuation is the most serious. If the real-time attenuation relative value is 0.25, the life of the radiation source vacuum tube is the first-order attenuation. According to the attenuation level, the corresponding alarm and treatment measures are output, including but not limited to replacing the vacuum tube.

[0104] According to an embodiment of the present invention, it also includes:

[0105] Obtain real-time image information of the target being measured;

[0106] Obtain real-time radiation monitoring image information of the target being measured;

[0107] Comparing the real-time image information with the real-time radiation monitoring image information for similarity to obtain real-time image similarity;

[0108] Performing a threshold comparison between the real-time image similarity and a preset image similarity threshold;

[0109] If it is less than the preset image similarity threshold, an alarm response is output;

[0110] If it is greater than or equal to the preset image similarity threshold, the radiation source shutdown response is activated.

[0111] It should be noted that the detected targets have different shapes and types, and some missed detections may occur during the detection. To solve the problem of partial missed detections, in this embodiment, the real-time image information of the detected target is first obtained through the image acquisition component, and then the real-time radiation monitoring image information is obtained according to the radiation monitoring data. The real-time image information is compared with the real-time radiation monitoring image information for similarity to obtain the real-time image similarity, and finally compared with the preset image similarity threshold. In this embodiment, the preset image similarity threshold is set to (0.0.95), [0.95, 1], corresponding to the output alarm response and the activation of the radiation source shutdown response. For example, if the real-time image similarity is 0.96, the activation of the radiation source shutdown response indicates that the radiation detection of the detected target is complete.

[0112] According to an embodiment of the present invention, it also includes:

[0113] Acquiring preset radiation source parameter data and preset collimator parameter data;

[0114] Obtaining preset radiation beam divergence angle data;

[0115] Obtaining distance data from the radiation source to the target and extreme size data of the target;

[0116] Inputting the extreme size data and distance data into a preset radiation beam divergence angle requirement model for analysis and processing to obtain radiation beam divergence angle requirement data;

[0117] Obtaining a radiation beam divergence angle deviation rate according to the preset radiation beam divergence angle data and the radiation beam divergence angle requirement data;

[0118] Performing a threshold comparison of the radiation beam divergence angle deviation rate with a preset radiation beam divergence angle deviation threshold;

[0119] If it is less than or equal to the preset radiation beam divergence angle deviation first threshold, no adjustment is made;

[0120] If it is greater than a preset radiation beam divergence angle deviation first threshold value and less than or equal to a preset radiation beam divergence angle deviation second threshold value, adjusting the preset collimator parameter data;

[0121] If it is greater than a preset radiation beam divergence angle deviation second threshold, the preset radiation source parameter data is adjusted.

[0122] It should be noted that the size of the radiation beam divergence angle determines the range of radiation detection. The radiation beam divergence angle is mainly determined by the radiation source parameters. The radiation beam divergence angle can also be further adjusted through a collimator. In order to adapt to the requirements of different sizes of objects under test for the radiation beam divergence angle and prevent over-radiation, first obtain the preset radiation source parameter data and the preset collimator parameter data, then obtain the preset radiation beam divergence angle data, and finally obtain the distance data from the radiation source to the target under test and the extreme size data of the target under test. The extreme size data is the maximum size in the direction perpendicular to the ray. The extreme size data and the distance data are input into the preset radiation beam divergence angle requirement model for analysis and processing to obtain the radiation beam divergence angle requirement data. The radiation beam divergence angle requirement model is a model obtained by training with extreme size data, distance data and radiation beam divergence angle requirement data of a large number of historical samples. The corresponding output radiation beam divergence angle requirement data can be obtained by inputting relevant information for processing. ; The radiation beam divergence angle deviation rate is obtained according to the preset radiation beam divergence angle data and the radiation beam divergence angle requirement data. In this embodiment, the preset radiation beam divergence angle data is 50°, the radiation beam divergence angle requirement data is calculated to be 45°, and the radiation beam divergence angle deviation rate is (50°-45°) / 50°=0.1. The radiation beam divergence angle deviation rate is compared with the preset radiation beam divergence angle deviation threshold. In this embodiment, the preset radiation beam divergence angle deviation first threshold is 0.1, and the preset radiation beam divergence angle deviation second threshold is 0.4, that is, (0, 0.1], (0.1, 0.4], (0.4, 1] correspond to no adjustment, adjustment of the preset collimator parameter data, and adjustment of the preset radiation source parameter data; for example, if the radiation beam divergence angle deviation rate is 0.1, no adjustment is made; if the radiation beam divergence angle deviation rate is 0.3, the preset collimator parameter data is adjusted; if the radiation beam divergence angle deviation rate is 0.45, the preset radiation source parameter data is adjusted.

[0123] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0124] Obtain parameter data of radiation source shielding layer, including stability data, deformation rate data and material deterioration rate data;

[0125] Obtain safety interlock device parameter data, including component missing rate data and component failure rate data;

[0126] Inputting the stability data, deformation rate data, material deterioration rate data, component missing rate data, and component failure rate data into a preset safety performance evaluation model for analysis and processing to obtain a real-time safety evaluation index;

[0127] Comparing the real-time safety assessment index with a preset safety assessment threshold to obtain a safety relative value;

[0128] The security relative value is compared with a preset security level threshold, and real-time security level information is determined according to the threshold comparison result.

[0129] It should be noted that security inspection equipment mainly uses X-rays as radiation sources. If radiation leakage occurs, it will endanger health. In order to grasp the safety status in real time, first obtain the parameter data of the radiation source shielding layer, including stability data, deformation rate data and material reduction rate data, and then obtain the parameter data of the safety interlocking device, including component missing rate data and component failure rate data. The stability data, deformation rate data, material reduction rate data, component missing rate data and component failure rate data are input into the preset safety performance evaluation model for analysis and processing to obtain a real-time safety evaluation index;

[0130] The real-time safety evaluation index calculation formula in the safety performance evaluation model is:

[0131]

[0132] Among them, s i is the real-time safety assessment index, b s 、f d ,d r 、e d 、f a They are respectively stability data, deformation rate data, material deterioration rate data, component missing rate data and component failure rate data, θ, ω1 and ω2 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the security inspection radiation monitoring platform);

[0133] The real-time security assessment index is compared with the preset security assessment threshold. In this embodiment, the real-time security assessment index is 80, the preset security assessment threshold is 100, and 80 / 100=0.8, which is the security relative value. The security relative value is compared with the preset security level threshold. In this embodiment, the preset security level thresholds are (0, 0.3], (0.3, 0.7], and (0.7, 1], corresponding to level 3 security, level 2 security, and level 1 security, among which level 3 security is the lowest. If the security relative value is 0.8, the real-time security level is level 1 security, which is the highest security level.

[0134] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0135] Acquire real-time image information of radiation monitoring, and extract real-time image data, including imaging efficiency data and image quality data, wherein the image quality data includes resolution data, color depth data and distortion rate data;

[0136] The resolution data, color depth data and distortion rate data are combined with the imaging efficiency data and input into a preset imaging quality and efficiency evaluation model for analysis and processing to obtain a radiation monitoring imaging quality and efficiency evaluation index;

[0137] The radiation monitoring imaging quality and efficiency evaluation index is compared with a preset imaging quality and efficiency evaluation threshold, an imaging state is obtained according to the threshold comparison result, and the radiation parameters of the security inspection radiation source are adjusted according to the imaging state.

[0138] It should be noted that the quality of radiation monitoring imaging plays an important role in security inspectors' judgment of the hazard level of the object being measured. In order to obtain higher quality radiation monitoring images, first obtain the real-time image information of radiation monitoring, extract the real-time image data, including imaging efficiency data and image quality data, where the image quality data includes resolution data, color depth data and distortion rate data. The resolution data, color depth data and distortion rate data are combined with the imaging efficiency data and input into the preset imaging quality and efficiency evaluation model for analysis and processing to obtain the radiation monitoring imaging quality and efficiency evaluation index;

[0139] The calculation formula of the radiation monitoring imaging quality and efficiency evaluation index in the imaging quality and efficiency evaluation model is:

[0140]

[0141] Among them, q e is the radiation monitoring imaging quality and efficiency evaluation index, R s , D c , D s 、F i are resolution data, color depth data, distortion rate data and imaging efficiency data, λ1, λ2, λ3, ψ, μ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the security inspection radiation monitoring platform);

[0142] The radiation monitoring imaging quality efficiency evaluation index is compared with the preset imaging quality efficiency evaluation threshold. In this embodiment, the preset imaging quality efficiency evaluation threshold is set to (0, 0.8) and (0.8, 1] corresponding to abnormal state and normal state. For example, if the radiation monitoring imaging quality efficiency evaluation index is 0.7, it corresponds to an abnormal state, and the radiation parameters of the security radiation source need to be adjusted to improve the imaging quality. If the radiation monitoring imaging quality efficiency evaluation index is 0.9, it corresponds to a normal state, and the radiation parameters of the security radiation source do not need to be adjusted.

[0143] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0144] Acquire millimeter wave parameter data, including reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of millimeter wave signals;

[0145] Acquiring reflected signal parameter data, including time delay data, phase distribution data, and phase difference data of the reflected signal;

[0146] Obtaining absorption rate data of millimeter wave signals;

[0147] Obtaining profile feature data according to reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of the millimeter wave signal;

[0148] Obtaining position distribution data according to the time delay data, phase distribution data and phase difference data of the reflected signal;

[0149] Obtaining density magnitude data according to the absorbance data;

[0150] Inputting the contour feature data, the location distribution data and the density magnitude data into a preset contraband safety assessment model for analysis and processing to obtain a danger index;

[0151] Performing a threshold comparison between the risk index and a preset risk threshold, and obtaining a relative risk value according to the threshold comparison result;

[0152] The relative risk value is compared with a preset risk level threshold, and the risk level information is determined according to the threshold comparison result.

[0153] It should be noted that in addition to luggage security checks at airports, railway stations, large event venues, etc., personnel must also undergo security checks. Currently, handheld detectors are used for security checks. In this embodiment, millimeter wave security checks on pedestrians are both efficient and safe. First, the millimeter wave parameter data is obtained, including the reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of the millimeter wave signal, and then the reflection signal parameter data is obtained, including the time delay data, phase distribution data and phase difference data of the reflection signal, and finally the absorptivity data of the millimeter wave signal is obtained; contour feature data is obtained based on the reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of the millimeter wave signal; position distribution data is obtained based on the time delay data, phase distribution data and phase difference data of the reflection signal; density magnitude data is obtained based on the absorptivity data; the contour feature data, position distribution data and density magnitude data are combined The magnitude data is input into a preset contraband safety assessment model for analysis and processing to obtain a danger index. The contraband safety assessment model is a model obtained by training with contour feature data, location distribution data, density magnitude data and danger index of a large number of historical samples. The corresponding output danger index can be obtained by inputting relevant information for processing; the danger index is compared with a preset danger threshold. In this embodiment, the danger index is calculated to be 70, the preset danger threshold is 100, and 70 / 100=0.7 is the relative danger value. The relative danger value is compared with a preset danger level threshold. In this embodiment, the preset danger level thresholds are (0, 0.3), [0.3, 0.6), [0.6, 1] corresponding to level one danger, level two danger, and level three danger, among which level three danger is the most serious. For example, a relative danger value of 0.7 corresponds to level three danger.

[0154] The present invention also discloses a security inspection radiation source control system, comprising a memory and a processor, wherein the memory comprises a security inspection radiation source control method program, and when the security inspection radiation source control method program is executed by the processor, the following steps are implemented:

[0155] Obtain energy output data of the radiation source;

[0156] Analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source;

[0157] Obtaining environmental parameter data and detector parameter data;

[0158] The radiation penetration influence coefficient is obtained by analyzing and processing the environmental parameter data and the detector parameter data;

[0159] The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index;

[0160] The real-time radiation penetration evaluation index is compared with a preset radiation penetration evaluation threshold, and the radiation parameters of the security inspection radiation source are adjusted according to the threshold comparison result.

[0161] It should be noted that, in order to achieve the adjustment and control of various parameters of the security inspection radiation source, the present application first obtains the theoretical radiation penetration index, then obtains the radiation penetration influence coefficient, corrects the theoretical radiation penetration index, obtains the real-time radiation penetration evaluation index, and finally realizes the automatic adjustment of the radiation parameters of the security inspection radiation source through threshold comparison; wherein, the theoretical radiation penetration index is obtained by analyzing and processing the energy output data including X-ray intensity data, energy distribution data and energy stability data, and the environmental parameter data including temperature data, humidity data and interference electromagnetic intensity data and the sensitivity data, energy resolution data, photoelectric conversion rate data are analyzed and processed. The detector parameter data is analyzed and processed to obtain the radiation penetration influence coefficient, the theoretical radiation penetration index is corrected to obtain the real-time radiation penetration evaluation index, and the real-time radiation penetration index is compared with the preset radiation penetration evaluation threshold. If it is less than the preset radiation penetration evaluation threshold, the radiation source parameters are adaptively adjusted; if it is greater than or equal to the preset radiation penetration evaluation threshold, the radiation source parameters are not adjusted; in this embodiment, the preset radiation penetration evaluation threshold is set to (0, 0.8) and [0.8, 1], corresponding to adaptive adjustment and no adjustment of the radiation source parameters, respectively. For example, if the real-time radiation penetration index is 0.7, the radiation source parameters are adaptively adjusted.

[0162] According to an embodiment of the present invention, the step of analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source includes:

[0163] The energy output data includes X-ray intensity data, energy distribution data and energy stability data;

[0164] The X-ray intensity data, energy distribution data and energy stability data are input into a preset radiation source radiation penetration evaluation model for analysis and processing to obtain a theoretical radiation penetration evaluation index of the radiation source.

[0165] It should be noted that penetration is a key indicator of whether security inspection is accurate, thorough and effective. In order to obtain the theoretical radiation penetration evaluation index, the X-ray intensity data, energy distribution data and energy stability data of the radiation source's emitted radiation are input into the preset radiation source radiation penetration evaluation model for analysis and processing to obtain the theoretical radiation penetration evaluation index of the radiation source;

[0166] The calculation formula of the theoretical radiation penetration evaluation index in the radiation source radiation penetration evaluation model is:

[0167]

[0168] Among them, p i is the theoretical radiation penetration evaluation index, s t d i ,t s They are X-ray intensity data, energy distribution data and energy stability data respectively, and τ, α1, α2, β are preset characteristic coefficients (the characteristic coefficients are obtained by querying the security radiation monitoring platform).

[0169] According to an embodiment of the present invention, the step of obtaining the radiation penetration influence coefficient according to the analysis and processing of the environmental parameter data and the detector parameter data includes:

[0170] The environmental parameter data includes temperature data, humidity data and interference electromagnetic intensity data;

[0171] The detector parameter data includes sensitivity data, energy resolution data, and photoelectric conversion rate data;

[0172] The radiation penetration influence coefficient is obtained by analyzing and processing the temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data, and photoelectric conversion rate data.

[0173] It should be noted that detectors in different use environments and working states have a significant impact on the penetration of the radiation emitted by the radiation source. Therefore, in order to correct the theoretical radiation penetration evaluation index according to the real-time environment and the working state of the detector, first obtain the environmental parameter data, including temperature data, humidity data and interference electromagnetic intensity data, and then obtain the detector parameter data, including sensitivity data, energy resolution data, and photoelectric conversion rate data. Finally, analyze and process the temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data, and photoelectric conversion rate data to obtain the radiation penetration influence coefficient.

[0174] The calculation formula of the radiation penetration influence coefficient is:

[0175]

[0176] Among them, c i is the radiation penetration coefficient, t e 、h u , g a 、s e ,y e 、p y They are temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data and photoelectric conversion rate data, π1, π2, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the security inspection radiation monitoring platform).

[0177] According to an embodiment of the present invention, the step of correcting the theoretical radiation penetration evaluation index according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index includes:

[0178] The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index;

[0179] The real-time radiation penetration evaluation index calculation formula is:

[0180]

[0181] Among them, p r is the theoretical radiation penetration evaluation index, p i 、c i They are respectively the theoretical radiation penetration evaluation index and the radiation penetration influence coefficient. It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the security inspection radiation monitoring platform).

[0182] It should be noted that in order to more accurately grasp the penetration evaluation index of the radiation source emitted rays, it is necessary to correct the theoretical radiation penetration evaluation index according to the penetration influence coefficient to obtain the real-time radiation penetration evaluation index.

[0183] According to an embodiment of the present invention, it also includes:

[0184] Obtaining radiation dose rate data, energy distribution data and vacuum degree data emitted by the radiation source vacuum tube;

[0185] Acquire current data and voltage data of the cathode filament of the radiation source;

[0186] Inputting the radiation dose rate data, energy distribution data and vacuum degree data as well as the current data and voltage data into a preset radiation source vacuum tube life attenuation evaluation model for analysis and processing to obtain a radiation source vacuum tube life attenuation index;

[0187] Performing a threshold comparison between the lifetime decay index and a preset lifetime decay threshold, and determining a real-time relative decay value of the radiation source vacuum tube according to the threshold comparison result;

[0188] Performing a threshold comparison between the real-time attenuation relative value and a preset attenuation level threshold, and determining attenuation level information according to the threshold comparison result;

[0189] The attenuation level information is sent to the background for display.

[0190] It should be noted that the radiation source vacuum tube is the core component of the security inspection equipment and plays an important role in the generation and control of X-rays. With the use of security inspection, the life of the radiation source vacuum tube will gradually decay. If it is not monitored, the accuracy and efficiency of security inspection will be affected. Therefore, in order to monitor the attenuation level of the radiation source vacuum tube in real time, first obtain the radiation dose rate data, energy distribution data and vacuum data emitted by the radiation source vacuum tube, then obtain the current data and voltage data of the radiation source cathode filament, and then input the radiation dose rate data, energy distribution data, vacuum data, current data and voltage data into the preset radiation source vacuum tube life attenuation evaluation model for analysis and processing to obtain the life attenuation index of the radiation source vacuum tube. The radiation source vacuum tube life attenuation evaluation model is obtained by obtaining the radiation dose rate data, energy distribution data, vacuum data, current data, voltage data and life attenuation index of a large number of historical samples. The model obtained by training the life decay index can obtain the corresponding output life decay index by inputting relevant information for processing; the life decay index is compared with the preset life decay threshold. In this embodiment, the life decay index is calculated to be 20, the preset life decay threshold is 80, and the ratio is 20 / 80=0.25. The threshold comparison result 0.25 is the real-time attenuation relative value; the obtained real-time attenuation relative value is compared with the preset attenuation level threshold to obtain the attenuation level. In this embodiment, the preset attenuation level thresholds (0, 0.4], (0.4, 0.7], (0.7, 1] correspond to the first-order attenuation, the second-order attenuation, and the third-order attenuation, among which the third-order attenuation is the most serious. If the real-time attenuation relative value is 0.25, the life of the radiation source vacuum tube is the first-order attenuation. According to the attenuation level, the corresponding alarm and treatment measures are output, including but not limited to replacing the vacuum tube.

[0191] According to an embodiment of the present invention, it also includes:

[0192] Obtain real-time image information of the target being measured;

[0193] Obtain real-time radiation monitoring image information of the target being measured;

[0194] Comparing the real-time image information with the real-time radiation monitoring image information for similarity to obtain real-time image similarity;

[0195] Performing a threshold comparison between the real-time image similarity and a preset image similarity threshold;

[0196] If it is less than the preset image similarity threshold, an alarm response is output;

[0197] If it is greater than or equal to the preset image similarity threshold, the radiation source shutdown response is activated.

[0198] It should be noted that the detected targets have different shapes and types, and some missed detections may occur during the detection. To solve the problem of partial missed detections, in this embodiment, the real-time image information of the detected target is first obtained through the image acquisition component, and then the real-time radiation monitoring image information is obtained according to the radiation monitoring data. The real-time image information is compared with the real-time radiation monitoring image information for similarity to obtain the real-time image similarity, and finally compared with the preset image similarity threshold. In this embodiment, the preset image similarity threshold is set to (0.0.95), [0.95, 1], corresponding to the output alarm response and the activation of the radiation source shutdown response. For example, if the real-time image similarity is 0.96, the activation of the radiation source shutdown response indicates that the radiation detection of the detected target is complete.

[0199] According to an embodiment of the present invention, it also includes:

[0200] Acquiring preset radiation source parameter data and preset collimator parameter data;

[0201] Obtaining preset radiation beam divergence angle data;

[0202] Obtaining distance data from the radiation source to the target and extreme size data of the target;

[0203] Inputting the extreme size data and distance data into a preset radiation beam divergence angle requirement model for analysis and processing to obtain radiation beam divergence angle requirement data;

[0204] Obtaining a radiation beam divergence angle deviation rate according to the preset radiation beam divergence angle data and the radiation beam divergence angle requirement data;

[0205] Performing a threshold comparison of the radiation beam divergence angle deviation rate with a preset radiation beam divergence angle deviation threshold;

[0206] If it is less than or equal to the preset radiation beam divergence angle deviation first threshold, no adjustment is made;

[0207] If it is greater than a preset radiation beam divergence angle deviation first threshold value and less than or equal to a preset radiation beam divergence angle deviation second threshold value, adjusting the preset collimator parameter data;

[0208] If it is greater than a preset radiation beam divergence angle deviation second threshold, the preset radiation source parameter data is adjusted.

[0209] It should be noted that the size of the radiation beam divergence angle determines the range of radiation detection. The radiation beam divergence angle is mainly determined by the radiation source parameters. The radiation beam divergence angle can also be further adjusted through a collimator. In order to adapt to the requirements of different sizes of objects under test for the radiation beam divergence angle and prevent over-radiation, first obtain the preset radiation source parameter data and the preset collimator parameter data, then obtain the preset radiation beam divergence angle data, and finally obtain the distance data from the radiation source to the target under test and the extreme size data of the target under test. The extreme size data is the maximum size in the direction perpendicular to the ray. The extreme size data and the distance data are input into the preset radiation beam divergence angle requirement model for analysis and processing to obtain the radiation beam divergence angle requirement data. The radiation beam divergence angle requirement model is a model obtained by training with extreme size data, distance data and radiation beam divergence angle requirement data of a large number of historical samples. The corresponding output radiation beam divergence angle requirement data can be obtained by inputting relevant information for processing. ; The radiation beam divergence angle deviation rate is obtained according to the preset radiation beam divergence angle data and the radiation beam divergence angle requirement data. In this embodiment, the preset radiation beam divergence angle data is 50°, the radiation beam divergence angle requirement data is calculated to be 45°, and the radiation beam divergence angle deviation rate is (50°-45°) / 50°=0.1. The radiation beam divergence angle deviation rate is compared with the preset radiation beam divergence angle deviation threshold. In this embodiment, the preset radiation beam divergence angle deviation first threshold is 0.1, and the preset radiation beam divergence angle deviation second threshold is 0.4, that is, (0, 0.1], (0.1, 0.4], (0.4, 1] correspond to no adjustment, adjustment of the preset collimator parameter data, and adjustment of the preset radiation source parameter data; for example, if the radiation beam divergence angle deviation rate is 0.1, no adjustment is made; if the radiation beam divergence angle deviation rate is 0.3, the preset collimator parameter data is adjusted; if the radiation beam divergence angle deviation rate is 0.45, the preset radiation source parameter data is adjusted.

[0210] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0211] Obtain parameter data of radiation source shielding layer, including stability data, deformation rate data and material deterioration rate data;

[0212] Obtain safety interlock device parameter data, including component missing rate data and component failure rate data;

[0213] Inputting the stability data, deformation rate data, material deterioration rate data, component missing rate data, and component failure rate data into a preset safety performance evaluation model for analysis and processing to obtain a real-time safety evaluation index;

[0214] Comparing the real-time safety assessment index with a preset safety assessment threshold to obtain a safety relative value;

[0215] The security relative value is compared with a preset security level threshold, and real-time security level information is determined according to the threshold comparison result.

[0216] It should be noted that security inspection equipment mainly uses X-rays as radiation sources. If radiation leakage occurs, it will endanger health. In order to grasp the safety status in real time, first obtain the parameter data of the radiation source shielding layer, including stability data, deformation rate data and material reduction rate data, and then obtain the parameter data of the safety interlocking device, including component missing rate data and component failure rate data. The stability data, deformation rate data, material reduction rate data, component missing rate data and component failure rate data are input into the preset safety performance evaluation model for analysis and processing to obtain a real-time safety evaluation index;

[0217] The real-time safety evaluation index calculation formula in the safety performance evaluation model is:

[0218]

[0219] Among them, s i is the real-time safety assessment index, b s 、f d ,d r 、e d 、f a They are respectively stability data, deformation rate data, material deterioration rate data, component missing rate data and component failure rate data, θ, ω1 and ω2 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the security inspection radiation monitoring platform);

[0220] The real-time security assessment index is compared with the preset security assessment threshold. In this embodiment, the real-time security assessment index is 80, the preset security assessment threshold is 100, and 80 / 100=0.8, which is the security relative value. The security relative value is compared with the preset security level threshold. In this embodiment, the preset security level thresholds are (0, 0.3], (0.3, 0.7], and (0.7, 1], corresponding to level 3 security, level 2 security, and level 1 security, among which level 3 security is the lowest. If the security relative value is 0.8, the real-time security level is level 1 security, which is the highest security level.

[0221] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0222] Acquire real-time image information of radiation monitoring, and extract real-time image data, including imaging efficiency data and image quality data, wherein the image quality data includes resolution data, color depth data and distortion rate data;

[0223] The resolution data, color depth data and distortion rate data are combined with the imaging efficiency data and input into a preset imaging quality and efficiency evaluation model for analysis and processing to obtain a radiation monitoring imaging quality and efficiency evaluation index;

[0224] The radiation monitoring imaging quality and efficiency evaluation index is compared with a preset imaging quality and efficiency evaluation threshold, an imaging state is obtained according to the threshold comparison result, and the radiation parameters of the security inspection radiation source are adjusted according to the imaging state.

[0225] It should be noted that the quality of radiation monitoring imaging plays an important role in security inspectors' judgment of the hazard level of the object being measured. In order to obtain higher quality radiation monitoring images, first obtain the real-time image information of radiation monitoring, extract the real-time image data, including imaging efficiency data and image quality data, where the image quality data includes resolution data, color depth data and distortion rate data. The resolution data, color depth data and distortion rate data are combined with the imaging efficiency data and input into the preset imaging quality and efficiency evaluation model for analysis and processing to obtain the radiation monitoring imaging quality and efficiency evaluation index;

[0226] The calculation formula of the radiation monitoring imaging quality and efficiency evaluation index in the imaging quality and efficiency evaluation model is:

[0227]

[0228] Among them, q e is the radiation monitoring imaging quality and efficiency evaluation index, R s , D c , D s 、F i are resolution data, color depth data, distortion rate data and imaging efficiency data, λ1, λ2, λ3, ψ, μ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the security inspection radiation monitoring platform);

[0229] The radiation monitoring imaging quality efficiency evaluation index is compared with the preset imaging quality efficiency evaluation threshold. In this embodiment, the preset imaging quality efficiency evaluation threshold is set to (0, 0.8) and (0.8, 1] corresponding to abnormal state and normal state. For example, if the radiation monitoring imaging quality efficiency evaluation index is 0.7, it corresponds to an abnormal state, and the radiation parameters of the security radiation source need to be adjusted to improve the imaging quality. If the radiation monitoring imaging quality efficiency evaluation index is 0.9, it corresponds to a normal state, and the radiation parameters of the security radiation source do not need to be adjusted.

[0230] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0231] Acquire millimeter wave parameter data, including reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of millimeter wave signals;

[0232] Acquiring reflected signal parameter data, including time delay data, phase distribution data, and phase difference data of the reflected signal;

[0233] Obtaining absorption rate data of millimeter wave signals;

[0234] Obtaining profile feature data according to reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of the millimeter wave signal;

[0235] Obtaining position distribution data according to the time delay data, phase distribution data and phase difference data of the reflected signal;

[0236] Obtaining density magnitude data according to the absorbance data;

[0237] Inputting the contour feature data, the location distribution data and the density magnitude data into a preset contraband safety assessment model for analysis and processing to obtain a danger index;

[0238] Performing a threshold comparison between the risk index and a preset risk threshold, and obtaining a relative risk value according to the threshold comparison result;

[0239] The relative risk value is compared with a preset risk level threshold, and the risk level information is determined according to the threshold comparison result.

[0240] It should be noted that in addition to luggage security checks at airports, railway stations, large event venues, etc., personnel must also undergo security checks. Currently, handheld detectors are used for security checks. In this embodiment, millimeter wave security checks on pedestrians are both efficient and safe. First, the millimeter wave parameter data is obtained, including the reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of the millimeter wave signal, and then the reflection signal parameter data is obtained, including the time delay data, phase distribution data and phase difference data of the reflection signal, and finally the absorptivity data of the millimeter wave signal is obtained; contour feature data is obtained based on the reflection intensity data, diffraction rate data, scattering rate data and signal distribution data of the millimeter wave signal; position distribution data is obtained based on the time delay data, phase distribution data and phase difference data of the reflection signal; density magnitude data is obtained based on the absorptivity data; the contour feature data, position distribution data and density magnitude data are combined The magnitude data is input into a preset contraband safety assessment model for analysis and processing to obtain a danger index. The contraband safety assessment model is a model obtained by training with contour feature data, location distribution data, density magnitude data and danger index of a large number of historical samples. The corresponding output danger index can be obtained by inputting relevant information for processing; the danger index is compared with a preset danger threshold. In this embodiment, the danger index is calculated to be 70, the preset danger threshold is 100, and 70 / 100=0.7 is the relative danger value. The relative danger value is compared with a preset danger level threshold. In this embodiment, the preset danger level thresholds are (0, 0.3), [0.3, 0.6), [0.6, 1] corresponding to level one danger, level two danger, and level three danger, among which level three danger is the most serious. For example, a relative danger value of 0.7 corresponds to level three danger.

[0241] A third aspect of the present invention provides a readable storage medium, which stores a security inspection radiation source control method program. When the security inspection radiation source control method program is executed by a processor, the steps of the security inspection radiation source control method as described in any one of the above items are implemented.

[0242] The present invention discloses a security inspection radiation source control method, system and medium, which generate an influence coefficient by utilizing environmental parameter data and detector parameter data that affect penetration, correct the theoretical ray penetration evaluation index, and then realize intelligent adaptive adjustment of the radiation parameters of the security inspection radiation source through threshold comparison.

[0243] 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 the 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 the devices or units can be electrical, mechanical or other forms.

[0244] 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.

[0245] 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.

[0246] 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.

[0247] 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 security inspection radiation source control method, characterized in that: The following steps are involved: Obtain energy output data of the radiation source; Analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source; Obtaining environmental parameter data and detector parameter data; The radiation penetration influence coefficient is obtained by analyzing and processing the environmental parameter data and the detector parameter data; The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index; The real-time radiation penetration evaluation index is compared with a preset radiation penetration evaluation threshold, and the radiation parameters of the security inspection radiation source are adjusted according to the threshold comparison result.

2. A security inspection radiation source control method according to claim 1, characterized in that: The analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source includes: The energy output data includes X-ray intensity data, energy distribution data and energy stability data; The X-ray intensity data, energy distribution data and energy stability data are input into a preset radiation source radiation penetration evaluation model for analysis and processing to obtain a theoretical radiation penetration evaluation index of the radiation source.

3. A security inspection radiation source control method according to claim 2, characterized in that: The step of obtaining the radiation penetration influence coefficient according to the environmental parameter data and the detector parameter data through analysis and processing includes: The environmental parameter data includes temperature data, humidity data and interference electromagnetic intensity data; The detector parameter data includes sensitivity data, energy resolution data, and photoelectric conversion rate data; The radiation penetration influence coefficient is obtained by analyzing and processing the temperature data, humidity data, interference electromagnetic intensity data, sensitivity data, energy resolution data, and photoelectric conversion rate data.

4. A security inspection radiation source control method according to claim 3, characterized in that: The step of correcting the theoretical radiation penetration evaluation index according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index includes: The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index; The real-time radiation penetration evaluation index calculation formula is: Among them, p r is the theoretical radiation penetration evaluation index, p i 、c i They are respectively the theoretical radiation penetration evaluation index and the radiation penetration influence coefficient. is the preset characteristic coefficient.

5. A security inspection radiation source control method according to claim 4, characterized in that: Also includes: Obtaining radiation dose rate data, energy distribution data and vacuum degree data emitted by the radiation source vacuum tube; Acquire current data and voltage data of the cathode filament of the radiation source; Inputting the radiation dose rate data, energy distribution data and vacuum degree data as well as the current data and voltage data into a preset radiation source vacuum tube life attenuation evaluation model for analysis and processing to obtain a radiation source vacuum tube life attenuation index; Performing a threshold comparison between the lifetime decay index and a preset lifetime decay threshold, and determining a real-time relative decay value of the radiation source vacuum tube according to the threshold comparison result; Performing a threshold comparison between the real-time attenuation relative value and a preset attenuation level threshold, and determining attenuation level information according to the threshold comparison result; The attenuation level information is sent to the background for display.

6. A method for controlling a security radiation source according to claim 5, characterized in that: Also includes: Obtain real-time image information of the target being measured; Obtain real-time radiation monitoring image information of the target being measured; Comparing the real-time image information with the real-time radiation monitoring image information for similarity to obtain real-time image similarity; Performing a threshold comparison between the real-time image similarity and a preset image similarity threshold; If it is less than the preset image similarity threshold, radiation monitoring will continue; If it is greater than or equal to the preset image similarity threshold, the radiation source shutdown response is activated.

7. A method for controlling a security radiation source according to claim 6, characterized in that: Also includes: Acquiring preset radiation source parameter data and preset collimator parameter data; Obtaining preset radiation beam divergence angle data; Obtaining distance data from the radiation source to the target and extreme size data of the target; Inputting the extreme size data and distance data into a preset radiation beam divergence angle requirement model for analysis and processing to obtain radiation beam divergence angle requirement data; Obtaining a radiation beam divergence angle deviation rate according to the preset radiation beam divergence angle data and the radiation beam divergence angle requirement data; Performing a threshold comparison of the radiation beam divergence angle deviation rate with a preset radiation beam divergence angle deviation threshold; If it is less than or equal to the preset radiation beam divergence angle deviation first threshold, no adjustment is made; If it is greater than a preset radiation beam divergence angle deviation first threshold value and less than or equal to a preset radiation beam divergence angle deviation second threshold value, adjusting the preset collimator parameter data; If it is greater than a preset radiation beam divergence angle deviation second threshold, the preset radiation source parameter data is adjusted.

8. A security inspection radiation source control system, characterized in that: The invention comprises a memory and a processor, wherein the memory comprises a program of a security inspection radiation source control method, and when the security inspection radiation source control method program is executed by the processor, the following steps are implemented: Obtain energy output data of the radiation source; Analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source; Obtaining environmental parameter data and detector parameter data; The radiation penetration influence coefficient is obtained by analyzing and processing the environmental parameter data and the detector parameter data; The theoretical radiation penetration evaluation index is corrected according to the penetration influence coefficient to obtain a real-time radiation penetration evaluation index; The real-time radiation penetration evaluation index is compared with a preset radiation penetration evaluation threshold, and the radiation parameters of the security inspection radiation source are adjusted according to the threshold comparison result.

9. The security inspection radiation source control system according to claim 8, characterized in that: The analyzing and processing the energy output data to obtain a theoretical radiation penetration evaluation index of the radiation source includes: The energy output data includes X-ray intensity data, energy distribution data and energy stability data; The X-ray intensity data, energy distribution data and energy stability data are input into a preset radiation source radiation penetration evaluation model for analysis and processing to obtain a theoretical radiation penetration evaluation index of the radiation source.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a security inspection radiation source control program, and when the security inspection radiation source control program is executed by the processor, the steps of a security inspection radiation source control method according to any one of claims 1 to 7 are implemented.

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