Image formation control method for developing roller

Abstract

The invention discloses an image formation control method for a developing roller, which relates to the field of image formation control of the developing roller, and comprises the following steps: detecting the charge distribution condition of an electrostatic latent image on the surface of a photosensitive drum, and evaluating, screening and marking the charge complexity of each position of the photosensitive drum; dynamically adjusting the carbon powder rheological property of the developing roller based on the synchronously marked high-complexity charge region; performing composite charge control on the surface of the developing roller, and adaptively adjusting the electromagnetic regulation and control layer structure; searching a historical image to form a record, re-forming the historical image, and establishing a historical image to form a control parameter sample data set; forming a control sample data set based on historical images, establishing an image formation parameter automatic control model, and performing automatic optimal parameter selection on image formation of the developing roller; dynamic adjustment of rheological characteristics of the carbon powder and multilayer electromagnetic response are combined, and the attachment mode of the carbon powder is flexibly controlled so as to meet the requirements of different image effects.

Description

Technical Field

[0001] The invention relates to the field of image forming control methods for developing rollers, and in particular to an image forming control method for developing rollers. Background Art

[0002] During the image formation process, different types of images have different requirements for the toner adhesion state. For example, high-contrast images require uniform toner adhesion and good coverage; gradient images require flexible toner adhesion to achieve smooth transitions; and images with rich details require fine control of toner to ensure clear edges and textures. Traditional charge control methods are often used to adjust the toner adhesion state, but it is difficult to flexibly adjust according to the image type, making it difficult to achieve the best effect for different types of images.

[0003] How to realize a method based on the dynamic adjustment of toner rheological properties and multi-layer electromagnetic response technology, combined with machine learning technology, to achieve the purpose of flexibly controlling the adhesion mode of toner for different types of images by automatically controlling the relevant parameters of the developing roller, so as to meet the needs of different image effects in image formation control, is a problem that needs to be solved. Summary of the invention

[0004] In order to solve the above technical problems, a method for controlling image formation of a developing roller is provided. This technical solution solves the problems raised in the above background technology.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: An image forming control method for a developing roller, comprising: Detect the charge distribution of the electrostatic latent image on the surface of the photosensitive drum, and evaluate, screen and mark the charge complexity of each position of the photosensitive drum; Dynamically adjust the rheological properties of the toner in the developer roller based on the synchronously annotated high-complexity charge regions; Composite charge control is performed on the surface of the developing roller to adaptively adjust the structure of the electromagnetic control layer; Retrieve historical image formation records, re-form historical images, and establish a sample data set of historical image formation control parameters; Based on the historical image formation control sample data set, an image formation parameter automatic control model is established to automatically select the optimal parameters for image formation of the developing roller.

[0006] Preferably, the detecting of the charge distribution of the electrostatic latent image on the surface of the photosensitive drum and the evaluation and screening and marking of the charge complexity of each position of the photosensitive drum specifically include: A fine grid monitoring area is set on the surface of the photosensitive drum to monitor the charge on the surface of the photosensitive drum in real time and obtain the electrostatic latent image charge distribution on the surface of the photosensitive drum; Based on the charge values ​​of pixels at symmetrical positions in the monitoring area and the mean square error of the difference between the charge values ​​of all pixels at symmetrical positions in the monitoring area, a charge symmetry feature evaluation value is calculated to evaluate the degree of charge balance in opposite directions in the same monitoring area; Setting a charge symmetry feature evaluation reference comparison value, and marking a deviation ratio between the charge symmetry feature evaluation value and the reference comparison value as a feature evaluation adjustment coefficient; The charge fluctuation frequency is calculated based on the time series data, and the surface charge fluctuation of all monitoring area locations is determined by comparing the charge value changes at the current moment with the previous moment; Get the pixel positions of all pixels in each monitoring area, and calculate the charge complexity of each monitoring area through the overall gradient distribution of pixels and the charge fluctuation frequency. The specific expression is: ; In the formula, is the charge density of the jth pixel in the ith monitoring area, is the total charge density of the ith monitoring area, is the charge density gradient value of the ith monitoring area, , , They are the charge fluctuation frequency, characteristic evaluation adjustment coefficient and regional charge complexity of the ith monitoring area; Set a charge complexity threshold, mark the monitoring area that is greater than or equal to the charge complexity threshold, and record the excess ratio of its charge complexity; Based on the labeling result of the photosensitive drum surface corresponding to the curved surface unfolding covering position relationship of the developing roller, synchronous labeling is performed on the developing roller surface, and the labeling result is marked as a high-complexity charge area.

[0007] Preferably, the method of dynamically adjusting the rheological properties of the toner of the developing roller based on the synchronously marked high-complexity charge regions specifically includes: Setting the unit scale for adjusting the rheological properties of carbon powder; Acquire high-complexity charge regions, and determine the specific adjustment scale of the rheological characteristics of the developing roller toner corresponding to each high-complexity charge region according to the excess ratio of the charge complexity; The rheological properties of toner in the high-complexity charge region are dynamically adjusted by controlling the temperature and surface vibration frequency of the developing roller. The specific expression is: ; In the formula, is the quantitative expression of the rheological properties of the carbon powder after the tth adjustment of the kth high-complexity charge region, It is a specific adjustment scale. , The quantitative value corresponding to the unit scale of the set developing roller adjustment temperature and vibration frequency; The influencing parameters of the rheological properties of the carbon powder are adjusted an unlimited number of times according to the calculated specific adjustment scale, until the adjustment is terminated when it is detected that the edge definition of the image formed by the high-complexity charge area begins to decay; The specific temperature and frequency parameters corresponding to the last toner rheological properties before the edge definition decays are recorded and marked as the optimal temperature and frequency parameters corresponding to the regional complexity.

[0008] Preferably, the composite charge control on the surface of the developing roller and the adaptive adjustment of the electromagnetic control layer structure specifically include: At least one electromagnetic control layer is arranged on the surface of the developing roller, and upper and lower control limits are set for each electromagnetic control layer, so that the charge distribution of the developing roller region is independently controlled through the electromagnetic control layers of different depths; Acquire high-complexity charge regions, and set the number of initial electromagnetic control layers for each high-complexity charge region based on the excess ratio of charge complexity of each high-complexity charge region and the electric field strength of the set electromagnetic control layer; Perform a bidirectional electromagnetic control on each high-complexity charge region to determine the direction of the regional electric field intensity adjustment trend, specifically: Record the initial sharpness of the image formed by each high-complexity charge region; Perform an operation to increase or decrease the number of electromagnetic control layers on each high-complexity charge region, and record the change in clarity of the operation; The operation direction of clarity improvement is marked as the electric field intensity control direction of the high-complexity charge region; Based on the electric field intensity control direction of each high-complexity charge region, the electric field intensity is adjusted in sequence starting from the top electromagnetic control layer until the current electromagnetic control layer reaches the set limit, and then the control is continued from the next layer until the clarity of the formed image decreases and the adjustment is terminated; The last electromagnetic regulation layer structure before the adjustment is completed is recorded and marked as the optimal electromagnetic regulation layer structure corresponding to the regional complexity.

[0009] Preferably, the retrieving historical image formation records, re-forming historical images, and establishing a historical image formation control parameter sample data set specifically includes: Retrieving the historical image formation records, and re-forming the historical images according to the above-mentioned processing method of dynamically adjusting the rheological characteristics of the toner of the developing roller and the processing method of adaptively adjusting the structure of the electromagnetic control layer; Obtaining the correspondence between the optimal temperature and frequency parameters of the regional complexity of the historical image during the reformation process, and the correspondence between the regional complexity and the optimal electromagnetic control layer structure; Identify and label the types of historical images, and establish a sample data set of control parameters for historical images based on the corresponding relationship between regional complexity and various parameters.

[0010] Preferably, the establishing of an automatic control model for image formation parameters based on a historical image formation control sample data set and the automatic selection of optimal parameters for image formation of a developing roller specifically include: Obtain a sample data set of historical image formation control parameters, and extract features of the input sample data using a machine learning algorithm, including image type, high-complexity charge regions, and regional complexity; Train the image formation parameter automatic control model based on feature data, and deploy the trained model for actual application; The charge distribution of the electrostatic latent image on the surface of the photosensitive drum is detected and analyzed in real time, and the charge complexity evaluation results of each monitoring area are input into the image formation parameter automatic control model to select the optimal temperature and frequency parameters and set the optimal electromagnetic control layer structure.

[0011] Compared with the prior art, the present invention has the following beneficial effects: By detecting the distribution of the electrostatic latent image charge on the surface of the photosensitive drum, the charge complexity of each position of the photosensitive drum is evaluated and screened. Based on the synchronously labeled high-complexity charge area, the toner rheological properties of the developing roller are dynamically adjusted, and the fluidity and adhesion properties of the toner change in real time according to the temperature and vibration frequency to ensure that the appropriate adhesion method is displayed on different types of images. Composite charge control is performed on the surface of the developing roller, and the electromagnetic control layer structure is adaptively adjusted. It can realize charge control on the surface and deep layers at the same time according to the image type, and improve the adhesion accuracy of the detail area. Retrieve historical image formation records, re-form historical images, and establish a sample data set of historical image formation control parameters; based on the historical image formation control sample data set, establish an automatic control model for image formation parameters, and automatically select the optimal parameters for image formation of the developing roller.

[0012] The solution combines toner rheology adjustment, multi-layer electromagnetic control and machine learning to achieve automatic and precise control of the toner adhesion state of the developing roller under different image types. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A flow chart of an image forming control method for a developing roller of the present invention; Figure 2 A flow chart for evaluating and screening the charge complexity of each position of the photosensitive drum for detecting the charge distribution of the electrostatic latent image on the surface of the photosensitive drum according to the present invention; Figure 3 A flow chart of dynamically adjusting the rheological characteristics of toner of a developing roller based on synchronously labeled high-complexity charge regions of the present invention; Figure 4 This is a flow chart of the composite charge control on the surface of the developing roller and the adaptive adjustment of the electromagnetic control layer structure of the present invention; Figure 5 For the present invention, the retrieval history image formation record is formed, the history image is re-formed, and a flow chart of a sample data set of control parameters for the history image formation is established; Figure 6 The present invention establishes an automatic control model for image formation parameters based on a historical image formation control sample data set, and performs an automatic optimal parameter selection flow chart for image formation of a developing roller. DETAILED DESCRIPTION

[0014] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0015] Reference Figure 1 As shown, an image forming control method for a developing roller comprises: Detect the charge distribution of the electrostatic latent image on the surface of the photosensitive drum, and evaluate, screen and mark the charge complexity of each position of the photosensitive drum; Dynamically adjust the rheological properties of the toner in the developer roller based on the synchronously annotated high-complexity charge regions; Composite charge control is performed on the surface of the developing roller to adaptively adjust the structure of the electromagnetic control layer; Retrieve historical image formation records, re-form historical images, and establish a sample data set of historical image formation control parameters; Based on the historical image formation control sample data set, an image formation parameter automatic control model is established to automatically select the optimal parameters for image formation of the developing roller.

[0016] Reference Figure 2 As shown, the distribution of the electrostatic latent image charge on the surface of the photosensitive drum is detected, and the charge complexity of each position of the photosensitive drum is evaluated and screened and marked, including: In laser printing or copying equipment, the image information is first formed into an electrostatic latent image on the photosensitive drum by a laser (or other light source). The laser scans the surface of the photosensitive drum, generating areas with different electrostatic charges on the surface of the photosensitive drum. Depending on the content of the image, the distribution of electrostatic charges is also different. These areas with different charge distributions are the "latent image" part of the image.

[0017] By setting a fine grid monitoring area on the surface of the photosensitive drum, the surface charge of the photosensitive drum is monitored in real time to obtain the electrostatic latent image charge distribution on the surface of the photosensitive drum. Its essence is to analyze the image characteristics of the latent image.

[0018] Based on the charge values ​​of pixels at symmetrical positions in the monitoring area and the mean square error of the difference of the charge values ​​of all pixels at symmetrical positions in the monitoring area, a charge symmetry feature evaluation value is calculated to evaluate the degree of charge balance in opposite directions in the same monitoring area, wherein the charge symmetry feature evaluation value can be calculated according to the weighted summation; A reference comparison value for charge symmetry feature evaluation is set, and the deviation ratio between the charge symmetry feature evaluation value and the reference comparison value is marked as a feature evaluation adjustment coefficient. The reference comparison value for charge symmetry feature evaluation is set by professionals in this field based on development performance parameters combined with actual imaging requirements, and will not be repeated here.

[0019] The charge fluctuation frequency is calculated based on the time series data, and the surface charge fluctuation of all monitoring area locations is determined by comparing the charge value changes at the current moment with the previous moment; Charge distribution data can effectively reflect the type characteristics of an image. For example, a high-contrast image shows a high charge density, while a detailed image usually has a more complex charge distribution.

[0020] Get the pixel positions of all pixels in each monitoring area, and calculate the charge complexity of each monitoring area through the overall gradient distribution of pixels and the charge fluctuation frequency. The specific expression is: ; In the formula, is the charge density of the jth pixel in the ith monitoring area, is the total charge density of the ith monitoring area, is the charge density gradient value of the ith monitoring area, , , They are the charge fluctuation frequency, characteristic evaluation adjustment coefficient and regional charge complexity of the ith monitoring area; The charge density gradient is calculated to identify the image type. A high gradient value means that the image contains sharp edges and large charge density changes, suitable for enhanced toner adhesion, while a low gradient indicates smooth areas of the image, suitable for soft toner flow.

[0021] Set a charge complexity threshold, mark the monitoring area that is greater than or equal to the charge complexity threshold, and record the excess ratio of its charge complexity; Based on the labeling result of the photosensitive drum surface corresponding to the curved surface unfolding covering position relationship of the developing roller, synchronous labeling is performed on the developing roller surface, and the labeling result is marked as a high-complexity charge area.

[0022] Reference Figure 3 As shown, based on the synchronously marked high-complexity charge regions, the toner rheological properties of the developing roller are dynamically adjusted, specifically including: Set the unit scale for adjusting the rheological characteristics of the toner, which is used to set the quantitative value corresponding to the unit scale of the developer roller adjustment temperature and vibration frequency. If the unit scale is 1, the quantitative value corresponding to the developer roller adjustment temperature and vibration frequency is 1 degree Celsius and 1Hz; Obtain high-complexity charge regions, and determine the specific adjustment scale of the rheological characteristics of the developing roller toner corresponding to each high-complexity charge region by the excess ratio of the charge complexity. For example, if the scale is 1, the specific adjustment scale is 1+per or 1-per, where per is the excess ratio of the charge complexity. The initial adjustment direction is not limited in this scheme step, and the actual adjustment direction is based on the change in clarity of the image formed after the first adjustment. For high-contrast images, it is usually necessary for the toner to adhere evenly to the surface of the developer roller and have strong coverage to avoid missing prints or unclear images due to uneven transmission. To achieve this goal, the system can select a toner state with low rheology to enhance the adhesion of the toner and ensure stability during the transmission process. In this case, the toner rheology properties can be performed in small amounts or not at all.

[0023] For complex images, such as those with fine lines and rich textures, the toner is required to be accurately attached to a specific location to avoid blurring of details. For this type of image, the system will select toner properties with high rheology, that is, high temperature and high vibration frequency, so that the toner has high fluidity, so that the adhesion state can be accurately controlled in fine areas.

[0024] The rheological properties of toner in the high-complexity charge region are dynamically adjusted by controlling the temperature and surface vibration frequency of the developing roller. The specific expression is: ; In the formula, is the quantitative expression of the rheological properties of the carbon powder after the tth adjustment of the kth high-complexity charge region, It is a specific adjustment scale. , The quantitative value corresponding to the unit scale of the set developing roller adjustment temperature and vibration frequency; The influencing parameters of the rheological properties of the carbon powder are adjusted an unlimited number of times according to the calculated specific adjustment scale, until the adjustment is terminated when it is detected that the edge definition of the image formed by the high-complexity charge area begins to decay; The specific temperature and frequency parameters corresponding to the last toner rheological properties before the edge definition decays are recorded and marked as the optimal temperature and frequency parameters corresponding to the regional complexity.

[0025] Reference Figure 4 As shown, composite charge control is performed on the surface of the developing roller, and the structure of the electromagnetic control layer is adaptively adjusted, specifically including: The multi-layer electromagnetic response structure arranges multiple electromagnetic layers on the surface of the developer roller, and each layer independently controls the charge distribution at different depths. According to the charge requirements of the electrostatic latent image, the system selectively activates different electromagnetic layers to meet the adhesion requirements of toner on each area. The shallow electromagnetic response is used to enhance the adhesion of toner in high-contrast areas, while the deep response achieves finer control for detailed areas.

[0026] At least one electromagnetic control layer is arranged on the surface of the developing roller, and upper and lower control limits are set for each electromagnetic control layer, so that the charge distribution of the developing roller region is independently controlled through the electromagnetic control layers of different depths; Acquire high-complexity charge regions, and set the number of initial electromagnetic control layers for each high-complexity charge region based on the excess ratio of charge complexity of each high-complexity charge region and the electric field strength of the set electromagnetic control layer; Perform a bidirectional electromagnetic control on each high-complexity charge region to determine the direction of the regional electric field intensity adjustment trend, specifically: Record the initial sharpness of the image formed by each high-complexity charge region; Perform an operation to increase or decrease the number of electromagnetic control layers on each high-complexity charge region, and record the change in clarity of the operation; The operation direction of clarity improvement is marked as the electric field intensity control direction of the high-complexity charge region; The electric field strength of each layer is dynamically adjusted to match the adhesion requirements of different image areas. For areas with higher toner adhesion requirements, the system increases the electric field strength; for areas with more detail requirements, the electric field strength is reduced to avoid toner accumulation.

[0027] Based on the electric field intensity control direction of each high-complexity charge region, the electric field intensity is adjusted in sequence starting from the top electromagnetic control layer until the current electromagnetic control layer reaches the set limit, and then the control is continued from the next layer until the clarity of the formed image decreases and the adjustment is terminated; The last electromagnetic regulation layer structure before the adjustment is completed is recorded and marked as the optimal electromagnetic regulation layer structure corresponding to the regional complexity.

[0028] By activating electromagnetic layers at different depths and adjusting the electric field strength in real time, it ensures that toner can be evenly adhered in high-contrast, gradient or detail-rich image areas to meet different image requirements, effectively improves the image forming ability of the developer roller, and ensures the stability of imaging quality.

[0029] Reference Figure 5 As shown, retrieving the historical image formation records, re-forming the historical images, and establishing the historical image formation control parameter sample data set specifically include: Retrieving the historical image formation records, and re-forming the historical images according to the above-mentioned processing method of dynamically adjusting the rheological characteristics of the toner of the developing roller and the processing method of adaptively adjusting the structure of the electromagnetic control layer; Obtaining the correspondence between the optimal temperature and frequency parameters of the regional complexity of the historical image during the reformation process, and the correspondence between the regional complexity and the optimal electromagnetic control layer structure; Identify and label the types of historical images, and establish a sample data set of control parameters for historical images based on the corresponding relationship between regional complexity and various parameters.

[0030] Reference Figure 6 As shown, based on the historical image formation control sample data set, an image formation parameter automatic control model is established, and the automatic optimal parameter selection for the image formation of the developing roller specifically includes: Obtain a sample data set of historical image formation control parameters, and extract features of the input sample data using a machine learning algorithm, including image type, high-complexity charge regions, and regional complexity; Train the image formation parameter automatic control model based on feature data, and deploy the trained model for actual application; The charge distribution of the electrostatic latent image on the surface of the photosensitive drum is detected and analyzed in real time, and the charge complexity evaluation results of each monitoring area are input into the image formation parameter automatic control model to select the optimal temperature and frequency parameters and set the optimal electromagnetic control layer structure.

[0031] Through machine learning, image types are identified, and the temperature and frequency parameters of the toner are automatically recommended and adjusted in real time to ensure the best adhesion effect for each image type. In addition, the dynamics and adaptability of the solution can be further enhanced based on real-time feedback and data-driven model update mechanisms, which helps to maintain high-precision, high-quality image output during long-term use.

[0032] Furthermore, the present solution also proposes a storage medium for an image forming control method for a developing roller, on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned image forming control method for a developing roller is executed.

[0033] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0034] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An image forming control method for a developing roller, characterized in that: include: Detect the charge distribution of the electrostatic latent image on the surface of the photosensitive drum, and evaluate, screen and mark the charge complexity of each position of the photosensitive drum; Dynamically adjust the rheological properties of the toner in the developer roller based on the synchronously annotated high-complexity charge regions; Composite charge control is performed on the surface of the developing roller to adaptively adjust the structure of the electromagnetic control layer; Retrieve historical image formation records, re-form historical images, and establish a sample data set of historical image formation control parameters; Based on the historical image formation control sample data set, an automatic control model of image formation parameters is established to automatically select the optimal parameters for image formation of the developing roller.

2. The image forming control method for a developing roller according to claim 1, characterized in that: The detecting of the charge distribution of the electrostatic latent image on the surface of the photosensitive drum and the evaluation and screening and marking of the charge complexity of each position of the photosensitive drum specifically include: A fine grid monitoring area is set on the surface of the photosensitive drum to monitor the charge on the surface of the photosensitive drum in real time and obtain the electrostatic latent image charge distribution on the surface of the photosensitive drum; Based on the charge values ​​of pixels at symmetrical positions in the monitoring area and the mean square error of the difference between the charge values ​​of all pixels at symmetrical positions in the monitoring area, a charge symmetry feature evaluation value is calculated to evaluate the degree of charge balance in opposite directions in the same monitoring area; Setting a charge symmetry feature evaluation reference comparison value, and marking a deviation ratio between the charge symmetry feature evaluation value and the reference comparison value as a feature evaluation adjustment coefficient; The charge fluctuation frequency is calculated based on the time series data, and the surface charge fluctuation of all monitoring area locations is determined by comparing the charge value changes at the current moment with the previous moment; Get the pixel positions of all pixels in each monitoring area, and calculate the charge complexity of each monitoring area through the overall gradient distribution of pixels and the charge fluctuation frequency. The specific expression is: ； In the formula, is the charge density of the jth pixel in the ith monitoring area, is the total charge density of the ith monitoring area, is the charge density gradient value of the ith monitoring area, , , They are the charge fluctuation frequency, characteristic evaluation adjustment coefficient and regional charge complexity of the ith monitoring area; Set a charge complexity threshold, mark the monitoring area that is greater than or equal to the charge complexity threshold, and record the excess ratio of its charge complexity; Based on the labeling result of the photosensitive drum surface corresponding to the curved surface unfolding covering position relationship of the developing roller, synchronous labeling is performed on the developing roller surface, and the labeling result is marked as a high-complexity charge area.

3. The image forming control method for a developing roller according to claim 2, characterized in that: The method of dynamically adjusting the rheological properties of the toner of the developing roller based on the synchronously marked high-complexity charge region specifically includes: Setting the unit scale for adjusting the rheological properties of carbon powder; Acquire high-complexity charge regions, and determine the specific adjustment scale of the rheological characteristics of the developing roller toner corresponding to each high-complexity charge region according to the excess ratio of the charge complexity; The rheological properties of toner in the high-complexity charge region are dynamically adjusted by controlling the temperature and surface vibration frequency of the developing roller. The specific expression is: ; In the formula, is the quantitative expression of the rheological properties of the carbon powder after the tth adjustment of the kth high-complexity charge region, It is a specific adjustment scale. , The quantitative value corresponding to the unit scale of the set developing roller adjustment temperature and vibration frequency; The influencing parameters of the rheological properties of the carbon powder are adjusted an unlimited number of times according to the calculated specific adjustment scale, until the adjustment is terminated when it is detected that the edge definition of the image formed by the high-complexity charge area begins to decay; The specific temperature and frequency parameters corresponding to the last toner rheological properties before the edge definition decays are recorded and marked as the optimal temperature and frequency parameters corresponding to the regional complexity.

4. The image forming control method for a developing roller according to claim 3, characterized in that: The composite charge control on the surface of the developing roller and the adaptive adjustment of the electromagnetic control layer structure specifically include: At least one electromagnetic control layer is arranged on the surface of the developing roller, and upper and lower control limits are set for each electromagnetic control layer, so that the charge distribution of the developing roller region is independently controlled through the electromagnetic control layers of different depths; Acquire high-complexity charge regions, and set the number of initial electromagnetic control layers for each high-complexity charge region based on the excess ratio of charge complexity of each high-complexity charge region and the electric field strength of the set electromagnetic control layer; Perform a bidirectional electromagnetic control on each high-complexity charge region to determine the direction of the regional electric field intensity adjustment trend, specifically: Record the initial sharpness of the image formed by each high-complexity charge region; Perform an operation to increase or decrease the number of electromagnetic control layers on each high-complexity charge region, and record the change in clarity of the operation; The operation direction of clarity improvement is marked as the electric field intensity control direction of the high-complexity charge region; Based on the electric field intensity control direction of each high-complexity charge region, the electric field intensity is adjusted in sequence starting from the top electromagnetic control layer until the current electromagnetic control layer reaches the set limit, and then the control is continued from the next layer until the clarity of the formed image decreases and the adjustment is terminated; The last electromagnetic regulation layer structure before the adjustment is completed is recorded and marked as the optimal electromagnetic regulation layer structure corresponding to the regional complexity.

5. The image forming control method for a developing roller according to claim 4, characterized in that: The retrieving the historical image formation record, re-forming the historical image, and establishing the historical image formation control parameter sample data set specifically includes: Retrieving the historical image formation records, and re-forming the historical images according to the above-mentioned processing method of dynamically adjusting the rheological characteristics of the toner of the developing roller and the processing method of adaptively adjusting the structure of the electromagnetic control layer; Obtaining the correspondence between the optimal temperature and frequency parameters of the regional complexity of the historical image during the reformation process, and the correspondence between the regional complexity and the optimal electromagnetic control layer structure; Identify and label the types of historical images, and establish a sample data set of control parameters for historical images based on the corresponding relationship between regional complexity and various parameters.

6. The image forming control method for a developing roller according to claim 5, characterized in that: The method of establishing an automatic control model for image formation parameters based on a historical image formation control sample data set and automatically selecting optimal parameters for image formation of a developing roller specifically includes: Obtain a sample data set of historical image formation control parameters, and extract features of the input sample data using a machine learning algorithm, including image type, high-complexity charge regions, and regional complexity; Train the image formation parameter automatic control model based on feature data, and deploy the trained model for actual application; The charge distribution of the electrostatic latent image on the surface of the photosensitive drum is detected and analyzed in real time, and the charge complexity evaluation results of each monitoring area are input into the image formation parameter automatic control model to select the optimal temperature and frequency parameters and set the optimal electromagnetic control layer structure.

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