X-ray intensity dynamic adjusting method and system for self-adaptive exposure control

Abstract

The invention discloses a self-adaptive exposure control X-ray intensity dynamic adjustment method and system, and the method comprises the steps: scanning a cargo to obtain density distribution, generating a feedback signal based on the density distribution, and determining the optimal X-ray emission parameter of each level of density region according to the feedback signal; generating a control signal based on the optimal X-ray emission parameter of each level of density area and the density parameter of each cargo; ray emission parameters of the X-ray equipment are adjusted in real time through the control signal, each cargo is scanned, and a high-precision image of each cargo is drawn according to a scanning result; and analyzing the high-precision image of each cargo to determine the forbidden property of the cargo. According to the invention, X-ray scanning with different intensities can be accurately carried out based on goods with different densities, the practicability and the stability are improved, meanwhile, the problem of premature aging of X-ray equipment in a high-intensity working mode is also avoided, and the use cost of the equipment is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of ray regulation, in particular to an X-ray intensity dynamic regulation method and system for adaptive exposure control. BACKGROUND

[0002] At present, as a key link in international trade, the efficiency and accuracy of customs cargo inspection directly affect the speed of customs clearance and the detection ability of prohibited goods. X-ray scanning technology has become the most widely used inspection method. However, traditional X-ray equipment faces many technical bottlenecks in actual use. First, most current devices apply uniform fixed radiation intensity to all goods, lacking dynamic adjustment capability for the characteristics of goods (such as density, material or thickness). This approach results in unnecessary high-intensity radiation of low-density goods (such as textiles, food, etc.), not only causing energy waste, but also possibly adversely affecting the quality of the goods. At the same time, the penetration effect of high-density goods (such as metal products or liquid containers) is often insufficient, increasing the risk of missed detection. Second, the constant high-power X-ray emission method significantly increases the energy consumption of the device, not only increasing the operating cost, but also causing the core components of the device (such as the X-ray tube) to age prematurely due to long-term high-load operation. Finally, long-term use of such high-power rays increases the level of radiation exposure in the operating environment, posing potential threats to the health of workers and environmental safety. SUMMARY

[0003] In view of the above problems, the present application provides an X-ray intensity dynamic regulation method and system for adaptive exposure control to solve the problem of the inability to adaptively adjust the radiation intensity of goods of different densities, which leads to premature aging of X-ray equipment, reduces practicality, and increases the cost of using the device.

[0004] An X-ray intensity dynamic regulation method for adaptive exposure control, comprising the following steps:

[0005] Scanning the goods to obtain the density distribution, generating a feedback signal based on the density distribution, and determining the optimal X-ray emission parameters for each density region according to the feedback signal;

[0006] Generating a control signal based on the optimal X-ray emission parameters for each density region and the density parameters of each good;

[0007] Adjusting the X-ray emission parameters of the X-ray equipment in real time through the control signal and scanning each good, and drawing a high-precision image of each good according to the scanning results;

[0008] Analyzing the high-precision image of each good to determine the prohibited nature of the goods.

[0009] Preferably, before the density distribution of the cargo is acquired by scanning, the feedback signal is generated based on the density distribution, and the optimal X-ray emission parameters of the density region at each level are determined according to the feedback signal, the method further comprises the following steps:

[0010] The distribution of the cargo in the inspection region is determined, and the static cargo distribution and the dynamic cargo distribution are determined according to the distribution of the cargo;

[0011] The sensor array is set based on the static cargo distribution and the dynamic cargo distribution, and the plurality of cargo types in the inspection region are determined;

[0012] The signal attenuation characteristics of the X-ray signal passing through each type of cargo are determined, and the signal receiver type of each type of cargo is determined based on the signal attenuation characteristics;

[0013] Each type of signal receiver is deployed into the sensor array according to the placement region position parameter of each type of cargo in the inspection region.

[0014] Preferably, the method for acquiring the density distribution of the cargo by scanning comprises the following steps:

[0015] The distribution of the cargo corresponding to the detection path of each sensor unit is determined, and the associated detection sensor of each cargo is determined according to the distribution of the cargo;

[0016] Each cargo is rapidly scanned by a low-energy primary ray, and the attenuation coefficient of the low-energy primary ray passing through each cargo is determined according to the ray intensity received by each associated sensor, the penetration length of the low-energy primary ray in the detection path of the associated sensor, and the initial ray intensity of the low-energy primary ray;

[0017] The density parameter of each cargo is determined according to the attenuation coefficient, and the density distribution model of the cargo is constructed based on the density parameter;

[0018] The density distribution parameter of all cargos is output according to the density distribution model.

[0019] Preferably, after the density distribution model of the cargo is constructed based on the density parameter, the method further comprises the following steps:

[0020] The multi-angle density distribution data of the cargo is collected by the sensor array, and the multi-angle density distribution data is merged by angle superposition and a preset synthesis algorithm;

[0021] The three-dimensional density distribution array of the cargo is acquired according to the merging result, and the three-dimensional density distribution array is data-filled by linear interpolation;

[0022] The continuous density distribution image of the cargo is generated according to the filling result, the parameter of the density distribution model of the cargo is perfected by using the continuous density distribution image, and the final density distribution model is acquired.

[0023] Preferably, the feedback signal is generated based on the density distribution, and the optimal X-ray emission parameters of each density region are determined according to the feedback signal, including:

[0024] The multi-level density regions and the density data of each density region are determined according to the density distribution, and the density data of each density region is converted into a two-dimensional gray image;

[0025] The two-dimensional gray image is subjected to image quality enhancement processing, and the feedback signal is generated based on the processed two-dimensional gray image;

[0026] The signal intensity control logic of each density region is determined through an X-ray signal intensity control model according to the feedback signal;

[0027] The X-ray intensity of each density region is determined based on the signal intensity control logic, and the optimal X-ray emission parameters of each density region are determined according to the X-ray intensity.

[0028] Preferably, the control signal is generated based on the optimal X-ray emission parameters of each density region and the density parameters of each cargo, including:

[0029] The X-ray initial anode voltage parameters and cathode current parameters of each density region are determined based on the optimal X-ray emission parameters of each density region;

[0030] The X-ray signal response time parameters under the anode voltage parameters and cathode current parameters are determined according to each obtained density parameter;

[0031] The adjustment parameters of the X-ray initial anode voltage parameters and cathode current parameters are determined based on the response time parameters and the preset signal acquisition time delay requirements;

[0032] The X-ray target anode voltage parameters and cathode current parameters are adjusted according to the adjustment parameters, and the control signal is generated based on the X-ray target anode voltage parameters and cathode current parameters.

[0033] Preferably, the ray emission parameters of the X-ray device are adjusted in real time through the control signal, and each cargo is scanned, and a high-precision image of each cargo is drawn according to the scanning result, including:

[0034] The adjustment parameter value of the ray emission parameters of the X-ray device is determined according to the control signal, and the ray emission parameters of the X-ray device are adjusted according to the adjustment parameter value;

[0035] The adjusted X-ray device generates an emission signal to each cargo for scanning, and the scanning result is obtained;

[0036] According to the scanning result, the analog signal is converted into a digital signal to obtain a scanning image of each cargo, and the scanning image is subjected to quality enhancement processing to obtain each obtained high-precision image.

[0037] Preferably, the distribution of the cargo in the inspection area is determined, the static cargo distribution and the dynamic cargo distribution are determined according to the distribution of the cargo, and the method comprises the following steps:

[0038] The region division attribute of the inspection area is determined, the cargo distribution region is determined according to the region division attribute, and the cargo spatial distribution of the cargo distribution region is obtained;

[0039] The cargo distribution mode is determined according to the cargo spatial distribution, the static cargo distribution region and the dynamic cargo distribution region are determined according to the cargo distribution mode;

[0040] The fixed position of the cargo in the static cargo distribution region and the flow position of the cargo in the dynamic cargo distribution region are determined;

[0041] The static cargo distribution is determined according to the fixed position of the cargo, and the dynamic cargo distribution is determined according to the flow position of the cargo and the flow characteristics of the cargo.

[0042] Preferably, the method further comprises:

[0043] The ray power for the high-density cargo is determined, and the current radiation level in the inspection area is determined based on the ray power;

[0044] The human body damage situation is determined according to the current radiation level, and the longest working period of the high-frequency ray is determined based on the human body damage situation;

[0045] The detection task execution parameter for the high-density cargo is generated according to the longest working period;

[0046] The detection task execution parameter is uploaded to a server, and real-time monitoring and early warning of manual detection are performed.

[0047] An X-ray intensity dynamic adjustment system with adaptive exposure control, the system comprises:

[0048] A determination module for scanning the cargo to obtain a density distribution, generating a feedback signal based on the density distribution, and determining the optimal X-ray emission parameter of each density region according to the feedback signal;

[0049] A generation module for generating a control signal based on the optimal X-ray emission parameter of each density region and the density parameter of each cargo;

[0050] A scanning module for real-time adjustment of the ray emission parameter of the X-ray device through the control signal and scanning each cargo, and drawing a high-precision image of each cargo according to the scanning result;

[0051] An analysis module is configured to analyze the high-precision image of each piece of cargo to determine whether the cargo has a prohibited nature.

[0052] Other features and advantages of the present application will be set forth in the following description, and in part will be apparent from the description, or can be learned by practice of the application. The objects and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

[0053] The technical solutions of the present application are described in further detail below with the aid of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0054] The accompanying drawings are included to provide a further understanding of the present application and are incorporated in and constitute a part of this specification, illustrate embodiments of the present application and together with the description serve to explain the present application, but are not intended to limit the present application.

[0055] Figure 1 A workflow diagram of an adaptive exposure control X-ray intensity dynamic adjustment method provided by the present application;

[0056] Figure 2 Another workflow diagram of an adaptive exposure control X-ray intensity dynamic adjustment method provided by the present application;

[0057] Figure 3 Still another workflow diagram of an adaptive exposure control X-ray intensity dynamic adjustment method provided by the present application;

[0058] Figure 4 A structural schematic diagram of an adaptive exposure control X-ray intensity dynamic adjustment system provided by the present application. DETAILED DESCRIPTION

[0059] The exemplary embodiments are described herein with reference to the accompanying drawings, in which examples are shown. The description of the exemplary embodiments is intended to be illustrative, and not to limit the scope of the present disclosure. Many changes, modifications, and variations can be made by those of ordinary skill in the art without departing from the spirit and scope of the present disclosure. The scope of the present disclosure is not to be limited by the illustrative examples.

[0060] Currently, as a key link in international trade, the efficiency and accuracy of customs cargo inspection directly affect the speed of customs clearance and the detection ability of prohibited goods. X-ray scanning technology has become the most widely used inspection method. However, traditional X-ray equipment faces many technical bottlenecks in actual use. First, most current devices apply a uniform fixed radiation intensity to all goods, lacking the ability to dynamically adjust to the characteristics of the goods (such as density, material, or thickness). This approach results in unnecessary high-intensity radiation for low-density goods (such as textiles, food, etc.), not only wasting energy but also potentially affecting the quality of the goods. At the same time, the penetration effect of high-density goods (such as metal products or liquid containers) is often insufficient, increasing the risk of missed detection. Second, the constant high-power X-ray emission method significantly increases the energy consumption of the device, not only increasing operating costs but also causing the core components of the device (such as the X-ray tube) to age prematurely due to long-term high-load operation. Finally, the long-term use of such high-power radiation increases the level of radiation exposure in the operating environment, posing potential threats to the health of workers and environmental safety. To solve the above problems, the embodiment discloses an adaptive exposure control X-ray intensity dynamic adjustment method.

[0061] An adaptive exposure control X-ray intensity dynamic adjustment method, as shown in Figure 1 includes the following steps:

[0062] Step S101, scanning the goods to obtain the density distribution, generating a feedback signal based on the density distribution, and determining the optimal X-ray emission parameters for each density region according to the feedback signal;

[0063] Step S102, generating a control signal based on the optimal X-ray emission parameters of each density region and the density parameters of each good;

[0064] Step S103, adjusting the X-ray emission parameters of the X-ray equipment in real time through the control signal and scanning each good, and drawing a high-precision image of each good according to the scanning results;

[0065] Step S104, analyzing the high-precision image of each good to determine the prohibited nature of the goods.

[0066] The working principle of the above technical solution is: scanning the goods to obtain the density distribution, generating a feedback signal based on the density distribution, and determining the optimal X-ray emission parameters for each density region according to the feedback signal; generating a control signal based on the optimal X-ray emission parameters of each density region and the density parameters of each good; adjusting the X-ray emission parameters of the X-ray equipment in real time through the control signal and scanning each good, and drawing a high-precision image of each good according to the scanning results; analyzing the high-precision image of each good to determine the prohibited nature of the goods.

[0067] The beneficial effects of the above technical solutions are: by determining the density distribution of the goods in the detection area to generate the optimal X-ray emission parameters of each level density area, and then combining the specific density information of each good to adaptively adjust the X-ray emission parameters for scanning the goods, the X-ray scanning of different intensities can be accurately performed based on goods of different densities, the practicability and stability are improved, the premature aging problem of the X-ray equipment in the high-intensity working mode is avoided, the equipment use cost is reduced, and the problem of the existing technology that the X-ray intensity cannot be adaptively adjusted for goods of different densities, leading to premature aging of the X-ray equipment, reduced practicability, and increased equipment use cost is solved.

[0068] In one embodiment, as shown in Figure 2 Before the scanning of the goods to obtain the density distribution, the generation of the feedback signal based on the density distribution, and the determination of the optimal X-ray emission parameters of each level density area according to the feedback signal, the method further includes:

[0069] Step S201, determine the distribution of the goods in the inspection area, and determine the static goods distribution and the dynamic goods distribution according to the distribution of the goods;

[0070] Step S202, set the sensor array based on the static goods distribution and the dynamic goods distribution, and determine the types of the goods in the inspection area;

[0071] Step S203, determine the signal attenuation characteristics of the X-ray signal passing through each type of goods, and determine the signal receiver type of each type of goods based on the signal attenuation characteristics;

[0072] Step S204, deploy each type of signal receiver to the sensor array according to the placement area position parameters of each type of goods in the inspection area.

[0073] The beneficial effects of the above technical solutions are: by setting the sensor array and deploying the signal receiver according to the distribution of the goods, accurate scanning of all goods can be ensured, the work efficiency and stability are improved, and the interference of each type of goods to the X-ray signal can be overcome to ensure the reliability and stability of the detection.

[0074] In one embodiment, the scanning of the goods to obtain the density distribution includes:

[0075] Determine the distribution of the goods corresponding to the detection path of each sensor unit, and determine the associated detection sensor of each good according to the distribution of the goods;

[0076] The low-energy primary ray is rapidly scanned on each cargo, and the attenuation coefficient of the low-energy primary ray passing through each cargo is determined according to the ray intensity received by each associated sensor, the penetration length of the low-energy primary ray in the detection path of the associated sensor, and the initial ray intensity of the low-energy primary ray;

[0077] The density parameter of each cargo is determined according to the attenuation coefficient, and a density distribution model of the cargo is constructed based on the density parameter;

[0078] The density distribution parameter of all cargos is output according to the density distribution model.

[0079] The beneficial effects of the above technical solutions are that the density distribution parameter of the cargo can be quickly output through the construction of the density distribution model of the cargo, which guarantees the data accuracy and reliability.

[0080] In one embodiment, after the density distribution model of the cargo is constructed based on the density parameter, the method further comprises:

[0081] The multi-angle density distribution data of the cargo is collected through the sensor array, and the multi-angle density distribution data is merged through angle superposition and a preset synthesis algorithm;

[0082] A three-dimensional density distribution array of the cargo is obtained according to the merging result, and the three-dimensional density distribution array is data-filled through linear interpolation;

[0083] A continuous density distribution image of the cargo is generated according to the filling result, the density distribution model of the cargo is parameter-perfected using the continuous density distribution image, and a final density distribution model is obtained.

[0084] The beneficial effects of the above technical solutions are that the comprehensiveness of the density data can be guaranteed by generating the continuous density distribution image of the cargo, the problem of low accuracy caused by data detection omission is avoided, and further, the high accuracy and reliability of the model output result can be guaranteed by parameter-perfecting the density distribution model.

[0085] In one embodiment, as shown in Figure 3 The feedback signal is generated based on the density distribution, and the optimal X-ray emission parameter of each density region is determined according to the feedback signal, which comprises:

[0086] Step S301, determining a plurality of density regions and density data of each density region according to the density distribution, and converting the density data of each density region into a two-dimensional gray-scale image;

[0087] Step S302, performing image quality enhancement processing on the two-dimensional gray-scale image, and generating a feedback signal based on the processed two-dimensional gray-scale image;

[0088] Step S303, determining the signal intensity control logic of each density region according to the feedback signal through the X-ray signal intensity control model;

[0089] Step S304, determining the X-ray intensity of each density region based on the signal intensity control logic, and determining the optimal X-ray emission parameter of each density region according to the X-ray intensity.

[0090] The beneficial effects of the above technical solutions are: by determining the signal intensity control logic of each density region, the ray signal intensity estimation parameter of each density region can be intuitively determined, and then the optimal X-ray emission parameter of each density region can be quickly and accurately determined through the linear relationship between the X-ray device signal intensity and the frequency, thereby ensuring stability and reliability.

[0091] In this embodiment, the signal intensity control logic of each density region is determined according to the feedback signal through the X-ray signal intensity control model, including:

[0092] The density attribute sequence of each density region is determined according to the feedback signal, and a plurality of control function objects of each density region are determined according to the density attribute sequence;

[0093] The execution signal queue of each control function object is determined, and the baseline program feature information corresponding to the execution signal queue is obtained;

[0094] The step-by-step control sequence of each control function object is determined according to the baseline program feature information, and a step-by-step control sequence set for each density region is generated based on the step-by-step control sequence of each control function;

[0095] The simulation control signal is generated based on the step-by-step control sequence set for each density region, the corresponding simulation control signal is emitted to each density region through the X-ray device, and the feedback response parameter is obtained;

[0096] The active state attribute of each density region is determined according to the feedback response parameter, and the signal intensity jump distribution of each density region is determined based on the active state attribute;

[0097] The signal intensity change curve of each density region from left to right scanning is drawn according to the signal intensity jump distribution of each density region;

[0098] The signal intensity peak value of each peak-shaped segment is determined based on the signal intensity change curve, and the feedforward signal output value of each peak-shaped segment is determined according to the signal intensity peak value of each peak-shaped segment and the cargo volume feedforward coefficient of each peak-shaped segment;

[0099] The signal control intensity reference value of each peak-shaped segment is determined according to the feedforward signal output value of each peak-shaped segment;

[0100] determining a signal control strategy of each peak-shaped section according to the signal control intensity reference value of each peak-shaped section and the normal distribution of the signal intensity of each peak-shaped section;

[0101] determining the signal intensity control logic of each density region at each level based on the signal control strategy of each peak-shaped section of the density region at each level through the X-ray signal intensity control model.

[0102] In the embodiment, the density attribute sequence list represents the distribution sequence of different levels of density in each density region at each level;

[0103] In the embodiment, the control function object represents the density value object of a plurality of control functions;

[0104] In the embodiment, the signal queue list represents the signal queue of the X-ray emission signal for each density value object;

[0105] In the embodiment, the baseline program feature information represents the baseline program control characteristic information of the emission signal of the X-ray emission device for each density value object;

[0106] In the embodiment, the gradient control sequence list represents the gradient logic control sequence of the emission signal for each density value object;

[0107] In the embodiment, the feedback response parameter represents the signal feedback response parameter of the goods in each density region at each level to the X-ray emission signal;

[0108] In the embodiment, the active state attribute represents the signal feedback active state attribute evaluated according to the signal feedback intensity and the fast and slow of each density region at each level, including: fast, medium, and slow;

[0109] In the embodiment, the signal intensity jump distribution represents the difference distribution of the signal intensity of the feedback signal of the X-ray emission signal of each density region at each level;

[0110] In the embodiment, the goods volume feedforward coefficient represents the feedback coefficient of each peak-shaped section corresponding to the signal intensity error caused by different volumes, which is determined by calculating the quotient of the average volume parameter and the median volume parameter of each goods;

[0111] The beneficial effects of the above technical solution are: through the accurate generation of the control signal based on the density difference of each density region at each level, the feedback parameter is accurately obtained to evaluate the signal intensity, which can accurately determine the dynamic signal control intensity of each density region at each level according to the actual signal feedback state, and then generate objective and reasonable signal intensity control logic, which can realize the signal control of the dynamic density difference of each density region at each level, avoid the instability of single signal intensity control, and improve the practicality and reliability.

[0112] In one embodiment, the optimal X-ray emission parameters based on the density area of each level generate a control signal based on the density parameters of each cargo, including:

[0113] The optimal X-ray emission parameters based on the density area of each level determine the X-ray initial anode voltage parameters and cathode current parameters of the density area of each level;

[0114] According to each acquired density parameter, the X-ray signal response time parameter under the anode voltage parameter and the cathode current parameter is determined;

[0115] Based on the response time parameter and the preset signal acquisition time delay requirement, the adjustment parameters of the X-ray initial anode voltage parameter and the cathode current parameter are determined;

[0116] According to the adjustment parameters, the X-ray initial anode voltage parameter and the cathode current parameter are adjusted, the X-ray target anode voltage parameter and the cathode current parameter are acquired, and the control signal is generated based on the X-ray target anode voltage parameter and the cathode current parameter.

[0117] The beneficial effects of the above technical solutions are: by setting the X-ray target anode voltage parameter and the cathode current parameter based on the signal delay response requirement, the accurate reception of X-rays can be ensured, and the stability and reliability of cargo detection are improved.

[0118] In one embodiment, the X-ray device's ray emission parameters are adjusted in real time through the control signal, and each cargo is scanned, and a high-precision image of each cargo is drawn according to the scanning result, including:

[0119] According to the control signal, the adjustment parameter value of the ray emission parameters of the X-ray device is determined, and the ray emission parameters of the X-ray device are adjusted according to the adjustment parameter value;

[0120] The adjusted X-ray device generates an emission signal to each cargo for scanning, and the scanning result is acquired;

[0121] According to the scanning result, the analog signal is converted into a digital signal to obtain the scanning image of each cargo, and the scanning image is processed to obtain a high-precision image of each acquired cargo.

[0122] The beneficial effects of the above technical solutions are: by displaying the X-ray scanning result of each cargo in the form of a high-precision image, the scanning imaging of each cargo can be intuitively displayed, which lays a reference condition for subsequent illegal judgment, and improves the work efficiency and stability.

[0123] In one embodiment, the distribution of the cargo in the inspection area is determined, and the static cargo distribution and the dynamic cargo distribution are determined according to the distribution of the cargo, including:

[0124] Determine the region division attribute of the inspection region, determine the goods distribution region according to the region division attribute, and obtain the goods spatial distribution of the goods distribution region;

[0125] Determine the goods distribution mode according to the goods spatial distribution, determine the static goods distribution region and the dynamic goods distribution region according to the goods distribution mode;

[0126] Determine the goods fixed position of the static goods distribution region and the goods flow position of the dynamic goods distribution region;

[0127] Determine the static goods distribution according to the goods fixed position, and determine the dynamic goods distribution according to the goods flow position and the goods flow characteristics.

[0128] The beneficial effects of the above technical solutions are that: by determining the static goods distribution region and the dynamic goods distribution region according to the goods distribution mode respectively, the region division can be performed according to the storage and placement characteristics of the goods, and then the static and dynamic goods distribution can be determined according to the fixed position or the flow position of different goods in different regions, so as to ensure the comprehensiveness and reliability of the goods distribution detection.

[0129] In one embodiment, the method further comprises:

[0130] Determine the ray power for high-density goods, and determine the current radiation level in the inspection region based on the ray power;

[0131] Determine the human body damage situation according to the current radiation level, and determine the longest working period of the high-frequency ray based on the human body damage situation;

[0132] Generate the detection task execution parameter for high-density goods according to the longest working period;

[0133] Upload the detection task execution parameter to the server and perform real-time monitoring and early warning on manual detection.

[0134] The beneficial effects of the above technical solutions are that: by setting the detection task execution parameter for high-density goods, the signal radiation within the human body acceptable range can be ensured, and the efficient monitoring of human health and task flow can be realized, thereby further improving the practicality.

[0135] In one embodiment, the embodiment also discloses an X-ray intensity dynamic adjustment system for adaptive exposure control, as shown in Figure 4 The system comprises:

[0136] A determination module 401 is configured to scan goods to obtain a density distribution, generate a feedback signal based on the density distribution, and determine optimal X-ray emission parameters of each density region according to the feedback signal;

[0137] The generating module 402 is configured to generate a control signal based on the optimal X-ray emission parameter of each density area and the density parameter of each cargo;

[0138] The scanning module 403 is configured to adjust the ray emission parameter of the X-ray device in real time through the control signal and scan each cargo, and draw a high-precision image of each cargo according to the scanning result.

[0139] The analyzing module 404 is configured to analyze the high-precision image of each cargo to determine the contraband nature of the cargo.

[0140] The working principle and beneficial effects of the above technical solutions have been described in the method embodiment, and will not be repeated here.

[0141] Other embodiments of the disclosure will be readily apparent to those skilled in the art upon considering the disclosure herein, the principles and practical applications of which are described and explained herein. This application is intended to cover any variations, uses, or adaptations of the disclosure and includes what is presently described and disclosed, including its general principles and its specific embodiments. The specification and examples are to be regarded as illustrative only, and the true scope and spirit of the disclosure are indicated by the following claims.

[0142] It should be understood that the present disclosure is not limited to the precise structures described above and illustrated in the drawings and that various modifications and changes can be made without departing from its scope. The scope of the present disclosure is limited only by the claims that follow.

Claims

1. A method for dynamically adjusting X-ray intensity in adaptive exposure control, characterized in that, Includes the following steps: The density distribution of the cargo is obtained by scanning it, a feedback signal is generated based on the density distribution, and the optimal X-ray emission parameters for each density region are determined based on the feedback signal. Control signals are generated based on the optimal X-ray emission parameters for each density region and the density parameters for each cargo. The X-ray emission parameters of the X-ray equipment are adjusted in real time by controlling the signal and each cargo is scanned. A high-precision image of each cargo is drawn based on the scanning results. Analyze high-resolution images of each cargo to determine its prohibited nature.

2. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 1, characterized in that, Before scanning the cargo to obtain its density distribution, generating a feedback signal based on the density distribution, and determining the optimal X-ray emission parameters for each density region based on the feedback signal, the process also includes: Determine the distribution of goods within the inspection area, and based on the distribution of goods, determine the static and dynamic distribution of goods; Sensor arrays are set up based on static and dynamic cargo distribution to determine multiple cargo types within the inspection area; Determine the signal attenuation characteristics of X-ray signals as they pass through various types of cargo, and determine the signal receiver type for each type of cargo based on these attenuation characteristics. Deploy various types of signal receivers into the sensor array according to the placement parameters of each type of cargo within the inspection area.

3. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 2, characterized in that, The process of scanning the cargo to obtain its density distribution includes: Determine the cargo distribution corresponding to the detection path of each sensor unit, and determine the associated detection sensor for each cargo based on the cargo distribution; Each cargo is rapidly scanned using low-energy primary rays. The attenuation coefficient of the low-energy primary ray passing through each cargo is determined based on the ray intensity received by each associated sensor, the penetration length of the low-energy primary ray along the detection path of the associated sensor, and the initial ray intensity of the low-energy primary ray. The density parameters of each cargo are determined based on the attenuation coefficient, and a density distribution model of the cargo is constructed based on the density parameters. Output the density distribution parameters of all goods based on the density distribution model.

4. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 3, characterized in that, After constructing the density distribution model of the cargo based on the density parameter, the following is also included: Multi-angle density distribution data of goods are collected by a sensor array, and the multi-angle density distribution data are merged by angle superposition and a preset synthesis algorithm. The three-dimensional density distribution array of the goods is obtained based on the merging results, and the data of the three-dimensional density distribution array is filled by linear interpolation. A continuous density distribution image of the goods is generated based on the filling results. The density distribution model of the goods is then refined using the continuous density distribution image to obtain the final density distribution model.

5. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 1, characterized in that, The process of generating feedback signals based on density distribution and determining optimal X-ray emission parameters for each density region based on the feedback signals includes: Based on the density distribution, determine the multi-level density regions and the density data of each level of density regions, and convert the density data of each level of density regions into a two-dimensional grayscale image. Image quality enhancement processing is performed on a two-dimensional grayscale image, and a feedback signal is generated based on the processed two-dimensional grayscale image; Based on the feedback signal, the signal intensity control logic for each density region is determined using an X-ray signal intensity control model. The X-ray intensity of each density region is determined based on the signal strength control logic, and the optimal X-ray emission parameters for each density region are determined based on the X-ray intensity.

6. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 1, characterized in that, The control signal generated based on the optimal X-ray emission parameters of each density region and the density parameters of each cargo includes: Determine the initial anode voltage and cathode current parameters for each density region based on the optimal X-ray emission parameters for each density region. The X-ray signal response time parameters under the anode voltage and cathode current parameters are determined based on each acquired density parameter; The adjustment parameters for the initial anode voltage and cathode current of the X-ray are determined based on the response time parameter and the preset signal acquisition delay requirement; The initial anode voltage and cathode current parameters of the X-ray are adjusted according to the adjustment parameters, the anode voltage and cathode current parameters of the X-ray target are obtained, and a control signal is generated based on the anode voltage and cathode current parameters of the X-ray target.

7. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 1, characterized in that, The process of adjusting the X-ray emission parameters of the X-ray equipment in real time via control signals and scanning each cargo, and then drawing a high-precision image of each cargo based on the scanning results, includes: The adjustment parameter values ​​for the X-ray emission parameters of the X-ray equipment are determined based on the control signal, and the X-ray emission parameters of the X-ray equipment are adjusted according to the adjustment parameter values; The adjusted X-ray equipment generates emission signals to scan each item and obtains the scan results. Based on the scanning results, the analog signals are converted into digital signals to obtain a scanned image of each item. The scanned images are then subjected to quality enhancement processing to obtain a high-precision image of each item.

8. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 2, characterized in that, The determination of the distribution of goods within the inspection area, and the determination of static and dynamic goods distribution based on the distribution of goods, includes: Determine the regional division attributes of the inspection area, determine the cargo distribution area based on the regional division attributes, and obtain the spatial distribution of cargo in the cargo distribution area. The cargo distribution pattern is determined based on the spatial distribution of cargo, and the static cargo distribution area and dynamic cargo distribution area are determined based on the cargo distribution pattern. Determine the fixed locations of goods in static cargo distribution areas and the flow locations of goods in dynamic cargo distribution areas; Static cargo distribution is determined based on the fixed location of the cargo, while dynamic cargo distribution is determined based on the location and characteristics of cargo movement.

9. The adaptive exposure control method for dynamic adjustment of X-ray intensity according to claim 1, characterized in that, The method further includes: Determine the radiation power for high-density cargo, and determine the current radiation level in the inspection area based on the radiation power; Determine the extent of human damage based on the current radiation level, and determine the longest working cycle of high-frequency radiation based on the extent of human damage; Parameters for the inspection task of high-density goods are generated based on the longest working cycle; The execution parameters of the detection task are uploaded to the server, and the manual detection is monitored and alerted in real time.

10. An adaptive exposure control X-ray intensity dynamic adjustment system, characterized in that, The system includes: The determination module is used to scan the cargo to obtain the density distribution, generate a feedback signal based on the density distribution, and determine the optimal X-ray emission parameters for each density region based on the feedback signal; The generation module is used to generate control signals based on the optimal X-ray emission parameters of each density region and the density parameters of each cargo. The scanning module is used to adjust the X-ray emission parameters of the X-ray equipment in real time through control signals and scan each cargo, and draw a high-precision image of each cargo based on the scanning results; The analysis module is used to analyze high-precision images of each cargo to determine its prohibited nature.

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