Novel industrial CR scanner system

Abstract

The invention discloses a novel industrial CR scanner system, which relates to the technical field of image processing and comprises a laser source module, a scanning control module, an imaging plate module, a signal acquisition module, an aging analysis module, a uniformity evaluation module and an automatic correction module. The signal acquisition module is used for collecting light signals and converting the light signals into electric signals, the aging analysis module is used for analyzing the aging degree of the imaging plate, the aging analysis module is combined with the use duration and temperature and humidity data to comprehensively analyze the aging condition of the imaging plate, the uniformity evaluation module evaluates the pixel deviation rate, and the accuracy of the imaging plate is improved. And the automatic correction module automatically adjusts the signal intensity according to an evaluation result, makes up for distortion caused by coating unevenness and aging, improves the image quality and the scanning efficiency, reduces human intervention errors, ensures the image quality consistency, and enhances the correction precision.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and particularly to a novel industrial CR scanner system. Background Art

[0002] Industrial digital CR systems are a type of digital X-ray imaging technology applied in the industrial field, mainly used for non-destructive testing and quality control of industrial products, equipment, materials, etc. Industrial digital CR systems utilize storage phosphor technology. When X-rays irradiate an imaging plate containing storage phosphor, the phosphor absorbs the energy of the X-rays and stores it, forming a latent image. Subsequently, the imaging plate is placed in a reading device and scanned with a laser beam of a specific wavelength. Under the excitation of the laser, the energy stored in the phosphor is released in the form of visible light, received by a photodetector, and converted into an electrical signal. These electrical signals are processed through amplification, analog-to-digital conversion, etc., to form a digital image, which is transmitted to a computer for storage, display, and further processing.

[0003] However, in the prior art, due to the uneven distribution of the imaging plate coating or the aging of the equipment during the imaging process, there are significant differences in signal intensity in different regions, resulting in uneven brightness and contrast in the imaging image, reducing the image quality. Currently, there is a lack of comprehensive analysis of the aging degree of the imaging plate, reducing the calibration accuracy, and often relying on manual adjustment or fixed compensation methods, lacking a flexible and automated calibration mechanism, which affects the work efficiency and image quality. Summary of the Invention

[0004] The purpose of the present invention is to provide a novel industrial CR scanner system to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A novel industrial CR scanner system, including a laser source module, a scanning control module, an imaging plate module, a signal acquisition module, an aging analysis module, a uniformity evaluation module, and an automatic calibration module;

[0006] The laser source module includes a laser and optical components for generating and focusing a laser beam;

[0007] The scanning control module is used to control the scanning path and speed of the laser to ensure the stability and accuracy of the laser beam;

[0008] The imaging plate module includes an imaging plate, and the imaging plate receives the laser beam scanning and releases an optical signal;

[0009] The signal acquisition module is used to collect the optical signal, convert it into an electrical signal, and then perform digital processing to generate a digital image;

[0010] The aging analysis module is used to analyze the aging degree of the imaging plate according to its usage conditions;

[0011] The uniformity evaluation module is used to evaluate the uniformity deviation of different pixel points in the digital image, and the aging degree factor of the imaging plate is added during the evaluation process to ensure the evaluation accuracy;

[0012] The automatic correction module is used to perform automatic adjustment according to the uniformity deviation of different pixel points to ensure the uniformity of the signal intensity.

[0013] Optionally, the analysis process of the aging analysis module is as follows:

[0014]

[0015] Where L is the aging score of the imaging plate;

[0016] T act is the actual usage time of the imaging plate;

[0017] T max is the maximum usage time of the imaging plate;

[0018] W1 is the usage time influence coefficient, and its value range is from 0 to 1;

[0019] A ave is the average temperature during the usage of the imaging plate;

[0020] A sta is the standard operating temperature;

[0021] W2 is the temperature influence coefficient, and its value range is from 0 to 1;

[0022] B ave is the average humidity during the usage of the imaging plate;

[0023] B sta is the standard operating humidity;

[0024] W3 is the humidity influence coefficient, and its value range is from 0 to 1;

[0025] The aging score L of the imaging plate represents the aging degree of the imaging plate, and by adding temperature and humidity data, it is used to represent the influence of environmental changes on aging. The smaller the aging score L of the imaging plate, the better the performance of the imaging plate device, and vice versa.

[0026] Optionally, the evaluation process of the uniformity evaluation module is as follows:

[0027]

[0028] Among them, U(i, j) is the average pixel deviation rate at pixel point (i, j), representing the ratio of the pixel value at this position to the average pixel value;

[0029] S(i, j) is the pixel value at pixel point (i, j);

[0030] L is the aging score of the imaging plate, and its value range is from 0 to 1;

[0031] α(i, j) is the aging score influence coefficient at pixel point (i, j), and its value range is from 0 to 1;

[0032] is the average pixel value;

[0033] M is the number of pixels in the vertical direction, representing the height of the imaging plate, that is, the number of rows;

[0034] N is the number of pixels in the horizontal direction, representing the width of the imaging plate, that is, the number of columns;

[0035] M×N is the total number of pixel points;

[0036] The average pixel deviation rate U(i, j) at pixel point (i, j) is used to measure the difference between the signal intensity at each position of the imaging plate and the average signal intensity of the entire imaging plate. The larger the average pixel deviation rate U(i, j) at pixel point (i, j), the greater the gap between the pixel value of pixel point (i, j) and the average value, and the more uneven the coating distribution of the imaging plate. Otherwise, it means that the gap between the pixel value of pixel point (i, j) and the average value is smaller, and the coating distribution of the imaging plate is more uniform.

[0037] Optionally, the correction process of the correction module is as follows:

[0038] ΔS cor (i, j) = S(i, j) × [β × U(i, j) - 1]

[0039] Among them, ΔS cor (i, j) is the adjustment amount at pixel point (i, j);

[0040] S(i, j) is the pixel value at pixel point (i, j);

[0041] U(i, j) is the average pixel deviation rate at pixel point (i, j);

[0042] β is the average pixel deviation rate influence coefficient, and its value range is from 0 to 1, representing the correction intensity;

[0043] The adjustment amount ΔS cor (i, j) represents the amount that needs to be adjusted based on the original pixel value. When the adjustment amount ΔS at pixel point (i, j) corWhen (i,j) is greater than 0, it means that the signal intensity needs to be increased. When the adjustment amount ΔS at the pixel point (i,j) cor When (i,j) is less than 0, it means that the signal intensity needs to be decreased. The signal intensity at each position of the imaging plate is corrected by the adjustment amount to compensate for the signal intensity changes caused by coating non-uniformity and aging.

[0044] Optionally, the adjustment amount ΔS at the set pixel point (i,j) cor The adjustment threshold of (i,j) is Y. When |ΔS cor (i,j)| is greater than Y, the aging score influence coefficient α(i,j) at the pixel point (i,j) is adjusted. The adjustment process is as follows:

[0045]

[0046] Where Nα(i,j) is the aging score influence coefficient at the new pixel point (i,j);

[0047] k is an adjustment coefficient, and its value range is from 0 to 1;

[0048] Y is the adjustment threshold;

[0049] When |ΔS cor (i,j)| is greater than Y, the aging score influence coefficient Nα(i,j) at the new pixel point (i,j) is used to replace the aging score influence coefficient α(i,j) at the adjusted pixel point (i,j), so that the system can perform dynamic adjustment according to the actual situation of the pixel point. Through the dynamic adjustment of the aging score influence coefficient, it is ensured that the signal intensity of the entire digital image remains consistent, avoiding image distortion and too weak signal intensity caused by aging, and improving the clarity and uniformity of the digital image.

[0050] Optionally, the laser in the laser source module is a high-stability semiconductor laser with a wavelength in the range of 600 - 700 nm to ensure efficient excitation of the imaging plate.

[0051] Optionally, the signal acquisition module includes a photodetector and a high-speed analog-to-digital converter. The photodetector is used to collect the optical signal released by the imaging plate module, and the optical signal is digitally processed by the high-speed analog-to-digital converter.

[0052] Optionally, the data storage module is used to save the operation data of the system equipment, digital image data, and environmental data.

[0053] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0054] 1. The present invention comprehensively analyzes the aging degree of an imaging plate by combining the aging analysis module with the usage duration of the imaging plate and the temperature and humidity data of the imaging plate during use, and quantifies the results, which can facilitate the staff to understand the aging situation of the imaging plate. During subsequent analysis, the analysis data can be reasonably adjusted according to the aging situation of the imaging plate, reducing the negative impact of aging effects on imaging quality. Then, the uniformity evaluation module evaluates the average pixel deviation rate of different pixel points in the digital image. By comparing each pixel point with the overall average value, the larger the ratio, the greater the deviation of the signal value of the pixel point from the average value, indicating that the coating of the imaging plate is uneven or there are problems during the imaging process. By introducing the aging factor, the accuracy of the average pixel deviation rate is further improved, thereby improving the subsequent correction accuracy.

[0055] 2. After obtaining the average pixel deviation rate of the pixel points, the present invention automatically corrects the signal intensity of each position of the imaging plate according to the results obtained by the uniformity evaluation module through the automatic correction module, compensating for image distortion caused by uneven coating and aging, without manual adjustment, saving time, improving the uniformity of the entire imaging area and image quality, ensuring the consistency of signal intensity, reducing errors caused by human intervention, improving scanning efficiency and image quality. And when the adjustment amount of the pixel point is too large, the influence of the aging factor on the scanning result of the imaging plate is increased, so that the system can dynamically adjust according to the actual situation of the pixel point, further improving the correction accuracy, avoiding image distortion and too weak signal intensity caused by aggravated aging, and improving the quality of digital images. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 is the system module block diagram of the present invention;

[0057] Figure 2 is the schematic diagram of the aging analysis module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0059] Embodiment 1:

[0060] Please refer to Figure 1 and Figure 2 , this embodiment provides a technical solution: a new type of industrial CR scanner system, including a laser source module, a scanning control module, an imaging plate module, a signal acquisition module, an aging analysis module, a uniformity evaluation module, an automatic correction module, and a data storage module;

[0061] The laser source module includes a laser and optical components, and is used to generate and focus a laser beam;

[0062] Specifically, an anti-reflection film is coated on the surfaces of optical elements such as lenses and mirrors to reduce surface reflection, and optical materials with high transmittance are selected to reduce energy loss in the optical path;

[0063] The entire optical path system is enclosed in a dark box to avoid ambient light interference. A light baffle and a diaphragm are set in the optical path to block stray light from entering the signal acquisition area. Finally, the inner surface of the optical path is blackened using an absorbent material to reduce reflection;

[0064] The laser in the laser source module is a high-stability semiconductor laser with a wavelength in the range of 600 - 700 nm, ensuring efficient excitation of the imaging plate;

[0065] The scan control module is used to control the scan path and speed of the laser, ensuring the stability and accuracy of the laser beam;

[0066] Specifically, in order to improve the scan speed while ensuring accuracy, the imaging plate can be divided into multiple regions. Through multi-threading or parallel processing technology, the scan tasks of different regions of the imaging plate are carried out simultaneously, thereby shortening the scan time. Utilizing the advantages of current multi-core processors, the scan process is divided into multiple sub-tasks for parallel processing, thereby reducing the overall scan time while ensuring accuracy;

[0067] The imaging plate module includes an imaging plate. The imaging plate module is used to store X-ray information, and the imaging plate receives laser beam scanning and releases optical signals;

[0068] The signal acquisition module is used to collect optical signals, convert them into electrical signals, and then perform digital processing to generate digital images;

[0069] The signal acquisition module includes a photodetector and a high-speed analog-to-digital converter. The photodetector is used to collect the optical signals released by the imaging plate module, and the optical signals are digitally processed by the high-speed analog-to-digital converter;

[0070] The aging analysis module is used to analyze the aging degree of the imaging plate according to its usage conditions;

[0071] The uniformity evaluation module is used to evaluate the uniformity deviation of different pixel points in the digital image, and the aging degree factor of the imaging plate is added during the evaluation process to ensure the evaluation accuracy;

[0072] The automatic correction module is used to perform automatic adjustment according to the uniformity deviation of different pixel points to ensure the uniformity of signal intensity.

[0073] More specifically, in this embodiment: The imaging plate in the imaging plate module is made of a high-sensitivity material and can record the latent image information released by laser excitation. This latent image is the energy stored after the interaction between X-rays and the surface coating of the imaging plate. During the laser scanning process, the imaging plate gradually releases the visible light signal after X-ray excitation. The visible light signal released by the imaging plate is collected by the signal acquisition module and converted into an electrical signal, and then digitized to generate a digital image. After obtaining the digital image, the aging analysis module analyzes the aging degree of the imaging plate in combination with the usage duration of the imaging plate and the environmental data around the imaging plate during use, and quantifies the results, which can facilitate the staff to understand the aging situation of the imaging plate. During subsequent analysis, the analysis data can be reasonably adjusted according to the aging situation of the imaging plate to reduce the negative impact of the aging effect on the imaging quality.

[0074] After that, the uniformity evaluation module evaluates the uniformity deviation of different pixel points in the digital image. By comparing each pixel point with the overall average value, the larger the ratio, the greater the deviation of the signal value of the pixel point from the average value, indicating that the coating of the imaging plate is uneven or there are problems during the imaging process. It can detect the uneven areas that appear in the image in real time and provide accurate data support for subsequent correction. Finally, the automatic correction module automatically corrects the signal intensity of different pixel points according to the results obtained by the uniformity evaluation module, compensates for the image distortion caused by uneven coating and aging, ensures the consistency of the signal intensity, avoids errors caused by human intervention, and improves the scanning efficiency and image quality.

[0075] Furthermore, the analysis process of the aging analysis module is as follows:

[0076]

[0077] Where L is the aging score of the imaging plate;

[0078] T act is the actual usage time of the imaging plate;

[0079] T max is the maximum usage time of the imaging plate;

[0080] W1 is the usage time influence coefficient, and its value range is from 0 to 1;

[0081] A ave is the average temperature during the use of the imaging plate;

[0082] A sta is the standard operating temperature;

[0083] W2 is the temperature influence coefficient, and its value range is from 0 to 1;

[0084] B aveis the average humidity during the use of the imaging plate;

[0085] B sta is the standard operating humidity;

[0086] W3 is the humidity influence coefficient, and its value range is from 0 to 1;

[0087] Due to factors such as temperature and humidity, they will significantly affect the performance, lifespan, and stability of the imaging plate. When the temperature is relatively high, the coating of the optical system may fade or turn yellow. In an environment with high humidity, the coating of the optical system may deform, fog, or dew, which will affect the image quality. By introducing the temperature factor and humidity factor during the use of the imaging plate into the aging analysis module, the aging analysis can be made more realistic, enhancing the comprehensiveness and accuracy of the analysis, and helping to predict the actual service life and performance degradation of the device.

[0088] Specifically, the imaging plate aging score L represents the aging degree of the imaging plate. By adding temperature and humidity data, it is used to measure the impact of environmental changes on aging. If the temperature deviates from the standard operating range, it will accelerate the degradation of the imaging plate and increase the aging score. Similar effects will also be produced by changes in humidity. The smaller the imaging plate aging score L, the better the performance of the imaging plate device and the smaller the impact on the imaging plate. Conversely, the worse the situation and the greater the impact on the imaging plate.

[0089] Furthermore, the evaluation process of the uniformity evaluation module is as follows:

[0090]

[0091] where U(i,j) is the average pixel deviation rate at pixel point (i,j), representing the ratio of the pixel value at this position to the average pixel value;

[0092] S(i,j) is the pixel value at pixel point (i,j);

[0093] L is the imaging plate aging score, and its value range is from 0 to 1;

[0094] α(i,j) is the aging score influence coefficient at pixel point (i,j), and its value range is from 0 to 1;

[0095] is the average pixel value;

[0096] M is the number of pixels in the vertical direction, representing the height of the imaging plate, that is, the number of rows;

[0097] N is the number of pixels in the horizontal direction, representing the width of the imaging plate, that is, the number of columns;

[0098] M×N is the total number of pixel points;

[0099] Since the coating of the imaging plate may become uneven due to long-term use or changes in environmental conditions, this unevenness will cause changes in the reflection and absorption degrees of the laser beam during the scanning process, thereby affecting the brightness and contrast of the image. By adding an aging factor during the uniformity evaluation process, it is possible to accurately evaluate and distinguish the impacts of aging on the coating uniformity, signal intensity, and pixel distribution of the imaging plate. The aging of the imaging plate is usually a gradual process that affects different areas on the plate. If the aging factor is not added and only corrected through the current pixel value differences, the pixel deviation rate of the imaging plate may be distorted due to aging changes, and appropriate compensation cannot be made for the aging areas, which will reduce the subsequent correction accuracy.

[0100] Specifically, the average pixel deviation rate U(i,j) at pixel point (i,j) is used to measure the difference between the signal intensity at each position of the imaging plate and the average signal intensity of the entire imaging plate. The larger the average pixel deviation rate U(i,j) at pixel point (i,j), the greater the gap between the pixel value of pixel point (i,j) and the average value, indicating that the coating distribution of the imaging plate is more uneven; otherwise, it indicates that the gap between the pixel value of pixel point (i,j) and the average value is smaller, and the coating distribution of the imaging plate is more uniform. By quantifying the results, it is convenient for the staff to quickly understand the position of the area with uneven signal intensity distribution on the imaging plate.

[0101] Furthermore, the correction process of the correction module is as follows:

[0102] ΔS cor (i,j) = S(i,j) × [β × U(i,j) - 1]

[0103] where ΔS cor (i,j) is the adjustment amount at pixel point (i,j);

[0104] S(i,j) is the pixel value at pixel point (i,j);

[0105] U(i,j) is the average pixel deviation rate at pixel point (i,j);

[0106] β is the average pixel deviation rate influence coefficient, with a value range of 0 to 1, representing the correction intensity;

[0107] Specifically, the adjustment amount ΔS cor (i,j) at pixel point (i,j) represents the amount that needs to be adjusted based on the original pixel value. When the adjustment amount ΔS cor (i,j) at pixel point (i,j) is greater than 0, it means that the signal intensity needs to be increased. When the adjustment amount ΔS corWhen (i,j) is less than 0, it means that the signal intensity needs to be reduced. After obtaining the average pixel deviation rate U(i,j) at the pixel point (i,j), the signal intensity at each position of the imaging plate is automatically corrected to compensate for the signal intensity changes caused by coating non-uniformity and aging, without manual adjustment, saving time and improving the uniformity and image quality of the entire imaging area.

[0108] Furthermore, set the adjustment amount ΔS at the pixel point (i,j). cor The adjustment threshold for (i,j) is Y. When |ΔS cor (i,j)| is greater than Y, adjust the aging score influence coefficient α(i,j) at the pixel point (i,j). The adjustment process is as follows:

[0109]

[0110] where Nα(i,j) is the aging score influence coefficient at the new pixel point (i,j);

[0111] k is the adjustment coefficient, and its value range is from 0 to 1;

[0112] Y is the adjustment threshold;

[0113] Specifically, when |ΔS cor (i,j)| is greater than Y, it means that the pixel value of the pixel point (i,j) has changed significantly, seriously affecting the quality of the imaging plate. At this time, it is necessary to increase the influence of the aging factor on the scanning result of the imaging plate to reduce the compensation intensity at this position and avoid image distortion caused by overcompensation. Replace the aging score influence coefficient α(i,j) at the adjusted pixel point (i,j) with the aging score influence coefficient Nα(i,j) at the new pixel point (i,j), so that the system can make dynamic adjustments according to the actual situation of the pixel points. By dynamically adjusting the aging score influence coefficient, ensure that the signal intensity of the entire digital image remains consistent, further improve the calibration accuracy, avoid image distortion and too weak signal intensity caused by aging, and improve the quality and uniformity of the digital image.

[0114] Furthermore, the data storage module is used to save the system device operation data, digital image data, and environmental data.

[0115] Specifically, through the data stored in the data storage module, when used later, the data in the data storage module can be queried, such as the usage duration of the imaging plate and the environmental data during use, as well as the configuration data of the device, for subsequent system use.

[0116] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A new type of industrial CR scanner system, characterized in that: It includes laser source module, scanning control module, imaging board module, signal acquisition module, aging analysis module, uniformity evaluation module and automatic correction module; The laser source module includes a laser and an optical component for generating and focusing a laser beam; The scanning control module is used to control the scanning path and speed of the laser to ensure the stability and accuracy of the laser beam; The imaging plate module includes an imaging plate, which is scanned by a laser beam and releases a light signal; The signal acquisition module is used to collect optical signals and convert them into electrical signals, and then perform digital processing to generate digital images; The aging analysis module is used to analyze the aging degree of the imaging plate according to its usage; The uniformity evaluation module is used to evaluate the uniformity deviation of different pixel points in the digital image, and the aging degree factor of the imaging plate is added during the evaluation process to ensure the evaluation accuracy; The automatic correction module is used to automatically adjust according to the uniformity deviation of different pixel points to ensure the uniformity of signal strength.

2. The novel industrial CR scanner system according to claim 1 is characterized in that: The analysis process of the aging analysis module is as follows: Where L is the imaging plate aging score; T act It is the actual usage time of the imaging plate; T max The maximum usage time of the imaging plate; W1 is the usage time influence coefficient, ranging from 0 to 1; A ave is the average temperature of the imaging plate during use; A sta is the standard operating temperature; W2 is the temperature influence coefficient, ranging from 0 to 1; B ave is the average humidity during the use of the imaging plate; B sta is the standard operating humidity; W3 is the humidity influence coefficient, ranging from 0 to 1; The imaging board aging score L indicates the degree of aging of the imaging board, and by adding temperature and humidity data, it is used to indicate the impact of environmental changes on aging. The smaller the imaging board aging score L, the better the performance of the imaging board equipment, and vice versa.

3. The novel industrial CR scanner system according to claim 2 is characterized in that: The uniformity assessment module assessment process is as follows: Where U(i,j) is the average pixel deviation rate at the pixel point (i,j), which represents the ratio of the pixel value at that position to the average pixel value; S(i,j) is the pixel value at pixel point (i,j); L is the imaging plate aging score, ranging from 0 to 1; α(i,j) is the aging score influence coefficient at pixel point (i,j), ranging from 0 to 1; S is the average pixel value; M is the number of pixels in the vertical direction, which represents the height of the imaging plate, i.e., the number of rows; N is the number of pixels in the horizontal direction, which represents the width of the imaging plate, i.e., the number of columns; M×N is the total number of pixels; The average pixel deviation rate U(i,j) at pixel point (i,j) is used to measure the difference between the signal strength at each position of the imaging plate and the average signal strength of the entire imaging plate. The larger the average pixel deviation rate U(i,j) at pixel point (i,j), the larger the difference between the pixel value of pixel point (i,j) and the average value, and the more uneven the coating distribution of the imaging plate. Preventing the difference between the pixel value of pixel point (i,j) and the average value means that the difference between the pixel value of pixel point (i,j) and the average value is smaller, and the coating distribution of the imaging plate is more uniform.

4. The novel industrial CR scanner system according to claim 3 is characterized in that: The correction process of the correction module is as follows: ΔS cor (i,j)=S(i,j)×[β×U(i,j)-1] Where ΔS cor (i, j) is the adjustment amount at pixel point (i, j); S(i,j) is the pixel value at pixel point (i,j); U(i,j) is the average pixel deviation rate at pixel point (i,j); β is the influence coefficient of the average pixel deviation rate, ranging from 0 to 1, indicating the correction strength; The adjustment amount ΔS at the pixel point (i, j) cor (i, j) represents the amount that needs to be adjusted based on the original pixel value. When the adjustment amount ΔS at the pixel point (i, j) is cor When (i, j) is greater than 0, it means that the signal strength needs to be increased. When the adjustment amount ΔS at the pixel point (i, j) is cor When (i, j) is less than 0, it means that the signal intensity needs to be reduced. The signal intensity at each position of the imaging plate is corrected by adjusting the amount to compensate for the signal intensity changes caused by coating unevenness and aging.

5. The novel industrial CR scanner system according to claim 4 is characterized in that: Set the adjustment amount ΔS at pixel point (i, j) cor The adjustment threshold of (i, j) is Y, when |ΔS cor When (i,j)| is greater than Y, the aging score influence coefficient α(i,j) at the pixel point (i,j) is adjusted. The adjustment process is as follows: Where Nα(i,j) is the aging score influence coefficient at the new pixel point (i,j); k is the adjustment coefficient, ranging from 0 to 1; Y is the adjustment threshold; When |ΔS cor When (i,j)| is greater than Y, the aging score influence coefficient Nα(i,j) at the new pixel point (i,j) is used to replace the aging score influence coefficient α(i,j) at the adjusted pixel point (i,j), so that the system can make dynamic adjustments based on the actual situation of the pixel point. By dynamically adjusting the aging score influence coefficient, the signal strength of the entire digital image is ensured to remain consistent, avoiding image distortion and weak signal strength due to aging, and improving the clarity and uniformity of the digital image.

6. The novel industrial CR scanner system according to claim 1 is characterized in that: The laser in the laser source module is a high-stability semiconductor laser with a wavelength in the range of 600-700nm, which ensures efficient excitation of the imaging plate.

7. The novel industrial CR scanner system according to claim 1 is characterized in that: The signal acquisition module includes a photoelectric detector and a high-speed analog-to-digital converter. The photoelectric detector is used to collect the optical signal released by the imaging board module, and the optical signal is digitized by the high-speed analog-to-digital converter.

8. The novel industrial CR scanner system according to claim 1 is characterized in that: The data storage module is used to store system equipment operation data, digital image data and environmental data.

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