Self-adaptive thickness self-flattening printer and control method

Through the multi-dimensional media identification and area-leveling control of adaptive thickness self-leveling printers, the adaptability problem of traditional printing equipment to different thicknesses and warping media is solved, and high-quality printing effect is achieved.

CN120363604APending Publication Date: 2025-07-25ZHUJI ZHUOMA ELECTRONIC TECH CO LTD
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Patent Information

Application Number
CN202510776721.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-11
Publication Date
2025-07-25

AI Technical Summary

Technical Problem

Traditional printing equipment cannot effectively adapt to printing media of different thicknesses and warping, resulting in print quality problems such as blur, flying ink, broken wires and nozzle blockage.

Method used

The medium detection module, the medium recognition module, the central control module and the flattening control module are adopted to generate a partial area flattening control strategy through thickness detection, warpage detection and feature detection, and combine multi-point warpage detection and micro-head array control to realize automatic media identification and partial area flattening.

Benefits of technology

Improve the accuracy of identification of heterogeneous paper and composite labels, ensure the flatness of the printing area, avoid ink and nozzle contamination, and improve print quality and system adaptability.

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Abstract

The invention provides a self-adaptive thickness self-flattening printer and a control method, and is applied to the technical field of printing, the self-adaptive thickness self-flattening printer comprises a medium detection module, a medium identification module, a central control module, a flattening control module and a printing execution module, the medium detection module comprises a thickness detection unit, a warping detection unit and a feature detection unit, the data acquisition module is used for acquiring medium thickness information, warping conditions and classification feature information and transmitting the information to the central control module; the medium identification module is used for identifying and classifying the medium and transmitting a result to the central control module; the central control module is used for forming a warping distribution diagram, a flattening control strategy and a printing control strategy, the flattening control module comprises a flattening assembly and a linear execution mechanism, and the linear execution mechanism controls all the pressing heads to perform regional lifting actions in the vertical direction. Printing media with different thicknesses can be automatically recognized, the flattening-printing control strategy is automatically adjusted based on the recognition result, and automatic flattening and high-quality printing of the media are achieved.
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Description

Technical Field

[0001] The present invention belongs to the technical field of printing, and particularly relates to an adaptive thickness self-flattening printer and a control method therefor. Background Art

[0002] With the continuous development of digital printing technology, printing devices have been widely used in fields such as office document printing, industrial manufacturing, label bills, and logistics packaging. The types of media used in modern printing scenarios are increasingly diverse, including not only ordinary paper, coated paper, PET film, and cardboard, but also various complex media with different thicknesses and surface properties, such as anti-stick label paper, composite materials, and coated materials.

[0003] Traditional printing devices usually adopt mechanical or fixed-gear paper pressing components, and only adapt to different thickness papers through manual or simple mechanism adjustment, unable to achieve dynamic adjustment for non-standard media or warped papers. In addition, most of the existing flattening controls are full-width unified pressing methods, unable to handle local undulations, wrinkles or irregular fits of the paper, which easily cause problems such as blurred printing, ink flying, broken lines or nozzle blockages.

[0004] Therefore, there is an urgent need for a collaborative printing system with multi-dimensional perception, intelligent recognition, and regional flattening control to improve the adaptability, output stability, and overall system intelligent evolution ability of the printing process, and meet the printing application requirements of complex media, multiple working conditions, and high quality. Summary of the Invention

[0005] In view of the above problems in the prior art, the object of the present invention is to provide an adaptive thickness self-flattening printer that can automatically identify printing media of different thicknesses and automatically adjust the flattening-printing control strategy based on the recognition result, so as to achieve automatic flattening of the media and high-quality printing.

[0006] An adaptive thickness self-flattening printer includes:

[0007] A media detection module, including a thickness detection unit, a warping detection unit, and a feature detection unit. The thickness detection unit is used to detect the thickness of the media, the warping detection unit is used to detect the warping condition of the media, and the feature detection unit is used to collect classification feature information of the media; the media thickness information, warping condition, and classification feature information are transmitted to the central control module;

[0008] A media recognition module, including a data preprocessing unit and a media classification model. The data preprocessing unit is used to preprocess the collected information; the media classification model is used to perform classification recognition according to the processed collected information; the classification recognition result is transmitted to the central control module;

[0009] The central control module is used to determine whether there is an abnormal situation of the current medium based on the medium thickness information and warping condition, and form a warping distribution map, so as to generate a matching flattening control strategy to drive the flattening control module to perform regional flattening actions; it is used to generate a matching printing control strategy according to the classification and recognition results to drive the printing execution module to perform printing actions.

[0010] The flattening control module includes a flattening component and a linear actuator. The flattening component includes a micro-indentor array. The linear actuator is connected to the micro-indentor array and is driven by the central control module to control the lifting actions of each indentor in the vertical direction in a regional manner.

[0011] Preferably, the thickness detection unit includes a thickness sensor and an auxiliary thickness sensor. The thickness sensor is used to detect the central thickness of the medium; the auxiliary thickness sensor is used to obtain the thickness or curvature difference of the edge area of the medium to achieve error compensation for thickness detection and preliminary warping recognition.

[0012] Preferably, the warping detection unit includes a reflective laser displacement sensor array arranged along the width direction of the medium, which is used to detect the surface height data of the medium when the medium moves through.

[0013] Preferably, the classification feature information of the medium includes capacitance, color, and reflectance. The feature detection unit includes a capacitive proximity sensor, an RGB color sensor, and a reflective optical sensor.

[0014] Preferably, the flattening control module includes a pressure sensor and a displacement encoder. The pressure sensor is used to detect the contact resistance between the indentor and the medium in real time and feedback it to the central control module; the displacement encoder is used to record the deviation between the actual displacement and the target displacement of the indentor and feedback it to the central control module.

[0015] Preferably, it includes a printing execution module. The printing execution module includes a nozzle interface, a power supply unit, and an output control unit. There are multiple nozzle interfaces, and multiple nozzle interfaces are respectively connected to thermal inkjet printheads; the power supply unit is used to provide a controlled pulsed voltage to drive the nozzle heating element to form bubbles to achieve ink droplet ejection; the output control unit is used to control the on-off of the power supply unit.

[0016] Another object of the present invention is to propose a control method for an adaptive thickness self-flattening printer. The adaptive thickness self-flattening printer includes a medium detection module, a medium recognition module, a central control module, a flattening control module, and a printing execution module.

[0017] The control method for the adaptive thickness self-flattening printer includes the following steps:

[0018] S1. The central control module receives the thickness value, warping condition, and classification feature information of the medium obtained by the medium detection module, determines whether there is an abnormal condition of the medium, and generates a warping distribution map.

[0019] S2. The central control module transmits the received medium information to the medium identification module, enables the medium identification module to classify and identify the medium, and receives the classification and identification result.

[0020] S3. The central control module generates a matching flattening control strategy based on the generated warping distribution map, which is used to drive the flattening control module to perform corresponding flattening actions.

[0021] S4. The central control module generates a matching printing control strategy based on the classification and identification result, which is used to drive the printing execution module to perform corresponding printing actions.

[0022] Among them, the process in which the medium detection module obtains the thickness value, warping condition, and classification feature information of the medium specifically includes the following steps:

[0023] S1.1. Collect the central thickness value of the medium and the edge thickness value of the medium.

[0024] S1.2. While detecting the medium thickness value, collect the classification feature information of the medium, and the classification feature information of the medium includes capacitance, color, and reflectivity.

[0025] S1.3. When the medium moves through, continuously detect the surface height of the medium at a fixed frequency through a reflective laser displacement sensor array to obtain two-dimensional height distribution data.

[0026] Preferably, the process in which the medium identification module classifies and identifies the medium specifically includes the following steps:

[0027] S2.1. Normalize, filter noise, and standardize the collected medium information; the medium information includes the thickness value, warping condition, and classification feature information of the medium.

[0028] S2.2. Classify and identify the processed medium information and output the medium category.

[0029] Preferably, the flattening control module includes a flattening component, a linear actuator, a pressure sensor, and a displacement encoder. The specific process in which the flattening control module performs corresponding flattening actions is as follows:

[0030] S3.1. After the flattening control module receives the flattening control strategy transmitted by the central control module, according to the region coordinates and intensity information output by the central control module, control the linear actuator to drive the micro-indenters in the corresponding region to perform a downward pressing action.

[0031] S3.2. During the downward pressing process of the micro indenter, the data of the pressure sensor is read in real time, and according to the intensity information output by the central control module, the downward pressing pressure value is compared with the set pressure range value. If the downward pressing pressure value is lower than or higher than the set pressure range value, the linear actuator is automatically adjusted to act or the downward pressing action is aborted and an alarm is given;

[0032] S3.3. During the downward pressing process of the micro indenter, the deviation between the actual displacement and the target displacement of the indenter is recorded in real time by the displacement encoder and fed back to the central control module;

[0033] S3.4. After the flattening action is completed, a "flattening completed" signal is sent to the central control module.

[0034] Preferably, the printing execution module includes a nozzle interface, a power supply unit, an output control unit and a monitoring unit. The specific process of the printing execution module performing the corresponding printing action is as follows:

[0035] S4.1. After the output control unit of the printing execution module receives the "print enable" signal output by the central control module, it drives the power supply unit to work;

[0036] S4.2. After the power supply unit responds, it outputs a controlled pulse voltage to drive the nozzle heating element to form bubbles, so that the thermal inkjet print head connected to the nozzle interface ejects ink droplets;

[0037] S4.3. During the inkjet process of the print head, the monitoring unit monitors the working status of each channel in real time and feeds back the monitoring results to the central control module for judging whether there is any abnormality or aging of the print head; among them, the monitoring content includes nozzle heating current, voltage fluctuation, print head open circuit or overheating condition.

[0038] The beneficial effects of the present invention are:

[0039] 1. Realize multi-dimensional medium recognition and precise classification: Integrate various sensing signals such as thickness, capacitance, and reflectivity, and perform feature extraction and medium classification through a convolutional neural network model, significantly improving the recognition accuracy and generalization ability for complex media such as heterogeneous papers, composite labels, and high-gloss coatings.

[0040] 2. Construct an error compensation type thickness detection architecture to improve detection accuracy: Adopt a combination form of a thickness sensor and an auxiliary thickness sensor to collect the central thickness and the edge region thickness of the medium, and can accurately judge whether there is thickness abnormality or multi-layer overlap of the medium, effectively improving the stability and reliability of the recognition data.

[0041] 3. Implement intelligent flattening control for different regions: Introduce a multi-point warpage detection and micro-indentor array control mechanism. According to the warpage region distribution and media type, schedule local indentors and perform differential flattening actions for multiple regions, which is especially suitable for dealing with complex working conditions such as irregular, warped, adhesive edges or flexible substrates, and ensure the flatness of the printing area.

[0042] 4. Achieve a high degree of linkage between printing actions and flattening states: Through the real-time confirmation of the flattening state by the central control module, control the printing execution module to start the inkjet action only after the media is stably attached, avoiding problems such as ink flying, trailing or nozzle contamination, and ensuring the accuracy and stability of the inkjet output position.

[0043] 5. Support intelligent drive and status feedback for multiple nozzles: The printing execution module supports a dual-nozzle or multi-nozzle structure, with the ability to monitor current, voltage, and temperature in real time and identify abnormalities. When it detects nozzle aging, clogging or temperature control abnormalities, it can automatically switch to the backup channel or adjust the excitation parameters to ensure the stable operation of continuous tasks.

[0044] 6. Form a multi-module data coupling and system closed-loop control architecture: Through the series closed-loop of thickness detection - identification and classification - flattening scheduling - printing control - feedback optimization, an intelligent printing system integrating multi-modal perception, intelligent identification, execution control and self-evolution is constructed, with excellent scalability, adaptability and long-term system maintenance efficiency. Description of the Drawings

[0045] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0046] Figure 1 is the system block diagram of the present invention;

[0047] Figure 2 is the structural schematic diagram of the printing channel of the printer of the present invention;

[0048] Figure 3 is the circuit diagram of the power supply unit of the present invention;

[0049] Figure 4 is the circuit diagram of the nozzle interface of the present invention;

[0050] Figure 5 is the method flow chart of the present invention.

[0051] The labels in the figures are: 1, thickness sensor; 2, auxiliary thickness sensor; 3, warpage detection unit; 4, flattening control module. Detailed Embodiments

[0052] Embodiment 1

[0053] As shown Figure 1 in the figure, an adaptive thickness self-flattening printer includes a medium detection module, a medium identification module, a flattening control module 4, a printing execution module, and a central control module. The central control module is communicatively connected to the medium detection module, the medium identification module, the flattening control module 4, and the printing execution module respectively.

[0054] The medium detection module includes a thickness detection unit, a warping detection unit 3, and a feature detection unit. The medium detection module detects the thickness of the medium through the thickness detection unit, detects the warping condition of the medium through the warping detection unit 3, collects the classification feature information of the medium through the feature detection unit, and transmits the medium thickness information, warping condition, and classification feature information to the central control module.

[0055] The central control module fuses the thickness data and surface height data of the medium, determines whether the current medium has abnormal states such as warping, bending, corner folding, or multi-layer overlap, and forms a warping distribution map for generating a matching flattening control strategy to guide the flattening control module 4 to perform regional flattening actions.

[0056] Specifically, as shown Figure 2 in the figure, the thickness detection unit includes two upper and lower thickness sensors 1 and an auxiliary thickness sensor 2. Among them, the two upper and lower thickness sensors 1 are respectively installed on the upper and lower surfaces of the paper feeding channel, and the central thickness of the medium is detected by laser ranging or a micro-displacement sensor.

[0057] The auxiliary thickness sensor 2 is arranged on the left and right sides or diagonally symmetric positions of the thickness sensor 1 to obtain the thickness or curvature difference of the medium edge area for realizing error compensation of thickness detection and preliminary warping identification.

[0058] The warping detection unit 3 includes a reflective laser displacement sensor array arranged along the width direction of the medium and is installed above the paper feeding channel. As shown Figure 2 in the figure, the arrow direction in the figure is the medium movement direction. When the medium moves through, the reflective laser displacement sensor array continuously detects the surface height of the medium through the spot reflection signal to realize the scanning and identification of abnormal states such as warping, bulging, and local protrusion of the medium surface and obtain the surface height data of the medium.

[0059] The feature detection unit includes multiple sensors for collecting the classification feature information of the medium. The classification feature information of the medium includes capacitance, color, and reflectance. Correspondingly, the feature detection unit includes a capacitive proximity sensor, an RGB color sensor, and a reflective optical sensor. It should be noted that the type and quantity of the sensors can be adjusted according to specific usage requirements, and the purpose is to collect sufficient classification feature information for medium classification and identification.

[0060] The medium recognition module includes a data preprocessing unit and a medium classification model. Among them, the data preprocessing unit normalizes the medium classification feature information such as medium thickness, capacitance, color, and reflectivity collected by the medium detection module. The medium classification model uses a convolutional neural network (CNN) to classify and identify the medium based on the processed medium classification feature information, and transmits the classification and identification results to the central control module.

[0061] Based on the classification and identification results of the medium recognition module, the central control module generates a matching printing control strategy to guide the printing execution module to perform printing actions.

[0062] Based on the multi-dimensional data provided by multiple sensors in the medium detection module, the medium recognition module no longer relies on a single dimension when classifying the medium, improving the response ability and judgment robustness under different working conditions; at the same time, it is beneficial for the central control module to generate or call a more matching printing control strategy, thereby improving the printing effect.

[0063] Furthermore, the medium recognition module includes a training interface and a self-learning unit, allowing users to locally optimize or cloud update the model by adding a new sample data set. In addition, the historical distribution of thickness data can participate in the dynamic weight correction of the model, enhancing the recognition and adaptation ability of the medium recognition module to complex situations such as non-standard paper, stacked multi-layer media, and composite materials.

[0064] As Figure 2 shown, the flattening control module 4 includes a flattening component, a linear actuator, a pressure sensor, and a displacement encoder. Among them, the flattening component includes a micro-indentor array, which is composed of multiple distributed micro-indentor arrays; the linear actuator is connected to the micro-indentor array and is driven by the central control module to control the lifting actions of each indentor in a sub-region in the vertical direction, and supports precision control of the set stroke.

[0065] The pressure sensor is used to detect the contact resistance between the indentor and the medium in real time and feedback it to the central control module to achieve pressure monitoring and feedback closed-loop regulation, which is beneficial for the central control module to generate self-learning of the flattening control strategy.

[0066] The displacement encoder is used to record the deviation between the actual displacement and the target displacement of the indentor, and assist in identifying whether the flattening component has displacement jamming or flattening failure.

[0067] Furthermore, the flattening control module 4 is communicatively connected to the historical database and can dynamically adjust the indentor pressing curve according to parameters such as different materials, paper thickness, and warping conditions, and has the ability of self-learning and pressure optimization. Among them, the historical database is stored and updated in real time by the built-in storage unit.

[0068] The flattening control module 4 cooperates with the medium detection module and the medium identification module to achieve high-degree data fusion and logical coupling, and match the corresponding flattening control strategy based on the results of the medium detection module and the medium identification module, so as to realize the refined flattening control of various types of media with different characteristics, and ensure the fitting and clarity during the printing process.

[0069] The printing execution module includes multiple nozzle interfaces, a power supply unit, an output control unit, and a monitoring unit.

[0070] Among them, the nozzle interface is used to connect the thermal inkjet printhead; the power supply unit is used to provide a controlled pulsed voltage to drive the nozzle heating element to form bubbles to achieve ink droplet ejection; the output control unit is used to receive the "print enable" signal sent by the central control module, and only drives the power supply unit to be enabled after the "flattening completed" signal is confirmed, preventing the printhead from ejecting ink prematurely when the paper is not flattened; after the power supply unit is enabled, the nozzle interface activates the inkjet logic to complete synchronous inkjet output, and at the same time supports multi-nozzle linkage or alternate inkjet strategies.

[0071] Specifically, the circuit structure of the power supply unit is as Figure 3 shown. The power supply unit includes a power supply chip U1 and a peripheral circuit. The V_OUT1 signal is output through the cooperation between the power supply chip U1 and the peripheral circuit to enable the nozzle interface to drive the thermal inkjet printhead. The circuit structure of the nozzle interface is as Figure 4 shown. Multiple nozzle interfaces can be set to achieve multi-nozzle synchronous inkjet or multi-nozzle alternate inkjet.

[0072] The monitoring unit is used to monitor the working status of each channel during the inkjet process of the printhead. The monitoring content includes: nozzle heating current, voltage fluctuation, open circuit or overheating of the printhead; the monitoring unit feeds back the monitoring results to the central control module to determine whether the printhead is abnormal or aging. If the abnormality exceeds the limit, the nozzle channel can be automatically switched, the inkjet parameters can be adjusted, or an alarm can be given.

[0073] It should be noted that the central control module dynamically corrects the printhead heating current or inkjet time window in combination with the thickness detection and warping detection information to ensure clear and consistent inkjet under different thicknesses or fitting conditions, and guarantee the printing effect. Specifically, the printing execution module is communicatively connected to the printing record library, and the printing record library is recorded and saved by the built-in storage unit. Among them, the printing record library stores inkjet strategies corresponding to various typical media in the initial state. During the actual use process, the printing record library continuously updates and optimizes the inkjet strategies corresponding to the typical media and adds inkjet strategies corresponding to new media.

[0074] Embodiment 2

[0075] As Figure 5As shown in the figure, in the second aspect of the present invention, a control method for an adaptive thickness self-flattening printer is proposed. The adaptive thickness self-flattening printer includes a medium detection module, a medium identification module, a flattening control module 4, a printing execution module, and a central control module. The central control module is communicatively connected to the medium detection module, the medium identification module, the flattening control module 4, and the printing execution module respectively.

[0076] The control method for the adaptive thickness self-flattening printer specifically includes the following steps:

[0077] S1. The medium detection module performs thickness detection, warping detection, and classification feature information collection on the medium in the detection area, and transmits the obtained thickness value, warping condition, and classification feature information to the central control module. The specific process is as follows:

[0078] S1.1. After the medium detection module detects that the medium is in the detection area, the thickness sensor 1 and the auxiliary thickness sensor 2 are started simultaneously. The central thickness value of the medium is measured by the thickness sensor 1, and the edge thickness value of the medium is measured by the auxiliary thickness sensor 2. Among them, the auxiliary thickness sensor 2 is used to achieve error compensation for thickness detection and preliminary identification of warping.

[0079] S1.2. While detecting the medium thickness value, the capacitance, color, reflectance, and other classification feature information of the medium are collected through a capacitive proximity sensor, an RGB color sensor, and a reflective optical sensor respectively.

[0080] S1.3. When the medium moves through the reflective laser displacement sensor array, the reflective laser displacement sensor array continuously detects the surface height of the medium at a fixed frequency to achieve scanning and identification of abnormal states such as warping, bulging, and local protrusions on the medium surface, and obtains two-dimensional height distribution data.

[0081] S2. The medium identification module performs information processing and medium classification based on the medium classification feature information collected by the medium detection module, and transmits the classification result to the central control module. The specific process is as follows:

[0082] S2.1. The data preprocessing unit of the medium identification module receives the collected medium information and normalizes, filters noise, and standardizes the original information.

[0083] S2.2. The medium classification model of the medium identification module performs classification and identification based on the processed medium information and outputs the medium category.

[0084] S3. The central control module generates a warping distribution map according to the information transmitted by the medium detection module, generates a matching flattening control strategy in combination with the medium classification result output by the medium identification module, and drives the flattening control module 4 to perform corresponding flattening actions.

[0085] The specific process for the flattening control module 4 to perform the corresponding flattening action is as follows:

[0086] S3.1. After the flattening control module 4 receives the flattening control strategy transmitted by the central control module, according to the area coordinates and intensity information output by the central control module, it controls the linear actuator to drive the micro-indenters in the corresponding area to perform the downward pressing action.

[0087] S3.2. During the downward pressing process of the micro-indenters, the data of the pressure sensor is read in real time, and according to the intensity information output by the central control module, the downward pressing pressure value is compared with the set pressure range value. If the downward pressing pressure value is lower or higher than the set pressure range value, the linear actuator action is automatically adjusted or the downward pressing action is aborted and an alarm is given.

[0088] S3.3. During the downward pressing process of the micro-indenters, the deviation between the actual displacement and the target displacement of the indenter is recorded in real time through the displacement encoder and fed back to the central control module.

[0089] S3.4. After the flattening action is completed, a "flattening completed" signal is sent to the central control module.

[0090] S4. After the central control module receives the "flattening completed" signal, it generates the corresponding printing control strategy according to the medium identification type and drives the printing execution module to perform the printing action.

[0091] The specific process for the printing execution module to perform the printing action is as follows:

[0092] S4.1. After the output control unit of the printing execution module receives the "print enable" signal output by the central control module, it drives the power supply unit to work.

[0093] S4.2. After the power supply unit responds, it outputs a controlled pulse voltage to drive the nozzle heating element to form bubbles, so that the thermal inkjet print head connected to the print head interface ejects ink droplets.

[0094] S4.3. During the inkjet process of the print head, the monitoring unit monitors the working status of each channel in real time and feeds back the monitoring results to the central control module for judging whether there is any abnormality or aging in the print head. If the abnormality exceeds the limit, the nozzle channel can be automatically switched, the inkjet parameters can be adjusted or an alarm is given. Among them, the monitoring content includes the nozzle heating current, voltage fluctuation, open circuit or overheating of the print head.

[0095] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An adaptive thickness self-flattening printer, characterized in that Comprising: A medium detection module, including a thickness detection unit, a warpage detection unit, and a feature detection unit. The thickness detection unit is used to detect the thickness of the medium, the warpage detection unit is used to detect the warpage condition of the medium, and the feature detection unit is used to collect the classification feature information of the medium; the medium thickness information, warpage condition, and classification feature information are transmitted to the central control module; A medium identification module, including a data preprocessing unit and a medium classification model. The data preprocessing unit is used to preprocess the collected information; The medium classification model is used to perform classification and identification based on the processed collected information; the classification and identification result is transmitted to the central control module; A central control module, which is used to judge whether the current medium has abnormal conditions based on the medium thickness information and warpage condition and form a warpage distribution map, so as to generate a matching flattening control strategy to drive the flattening control module to perform regional flattening actions; It is used to generate a matching printing control strategy based on the classification and identification result to drive the printing execution module to perform printing actions; A flattening control module, including a flattening component and a linear actuator. The flattening component includes a micro-indentor array. The linear actuator is connected to the micro-indentor array and is driven by the central control module to control the lifting actions of each indentor in a vertical direction in a regional manner.

2. The adaptive thickness self-flattening printer according to claim 1, wherein The thickness detection unit includes a thickness sensor and an auxiliary thickness sensor. The thickness sensor is used to detect the central thickness of the medium; The auxiliary thickness sensor is used to obtain the thickness or curvature difference of the medium edge region to achieve error compensation for thickness detection and preliminary warpage identification.

3. The self-adaptive thickness self-flattening printer according to claim 1, wherein The warpage detection unit includes a reflective laser displacement sensor array arranged along the width direction of the medium, which is used to detect the surface height data of the medium when the medium moves through.

4. The adaptive thickness self-flattening printer according to claim 1, wherein The classification feature information of the medium includes capacitance, color, and reflectance. The feature detection unit includes a capacitive proximity sensor, an RGB color sensor, and a reflective optical sensor.

5. The adaptive thickness self-flattening printer according to claim 1, wherein The flattening control module includes a pressure sensor and a displacement encoder. The pressure sensor is used to detect the contact resistance between the indentor and the medium in real time and feedback it to the central control module; The displacement encoder is used to record the deviation between the actual displacement and the target displacement of the indentor and feedback it to the central control module.

6. The self - adaptive thickness self - flattening printer according to claim 1, characterized in that, It includes a printing execution module. The printing execution module includes a nozzle interface, a power supply unit, and an output control unit. There are multiple nozzle interfaces, and the multiple nozzle interfaces are respectively connected to thermal inkjet print heads; the power supply unit is used to provide a controlled pulsed voltage to drive the nozzle heating element to form bubbles to achieve ink droplet ejection; the output control unit is used to control the on and off of the power supply unit.

7. A control method for an adaptive thickness self-flattening printer, characterized in that, An adaptive thickness self-flattening printer includes a medium detection module, a medium identification module, a central control module, a flattening control module, and a printing execution module; The control method of the adaptive thickness self-flattening printer includes the following steps: S1. The central control module receives the thickness value, warpage condition, and classification feature information of the medium obtained by the medium detection module, judges whether the medium has abnormal conditions, and generates a warpage distribution map; S2. The central control module transmits the received medium information to the medium identification module, enabling the medium identification module to classify and identify the medium and receive the classification and identification results; S3. The central control module generates a matching flattening control strategy based on the generated warpage distribution map, which is used to drive the flattening control module to perform corresponding flattening actions; S4. The central control module generates a matching printing control strategy based on the classification and identification results, which is used to drive the printing execution module to perform corresponding printing actions; Among them, the process of the medium detection module obtaining the thickness value, warpage condition, and classification feature information of the medium specifically includes the following steps: S1.

1. Collect the central thickness value of the medium and the edge thickness value of the medium; S1.

2. While detecting the medium thickness value, collect the classification feature information of the medium, and the classification feature information of the medium includes capacitance, color, and reflectivity; S1.

3. When the medium moves through, continuously detect the surface height of the medium at a fixed frequency through a reflective laser displacement sensor array to obtain two-dimensional height distribution data.

8. The control method of the self-adaptive thickness self-flattening printer according to claim 7, characterized in that, The process of the medium identification module classifying and identifying the medium specifically includes the following steps: S2.

1. Normalize, filter noise, and standardize the collected medium information; the medium information includes the thickness value, warpage condition, and classification feature information of the medium; S2.

2. Classify and identify the processed medium information and output the medium category.

9. The control method of the self-adaptive thickness and self-flattening printer according to claim 7, wherein The flattening control module includes a flattening component, a linear actuator, a pressure sensor, and a displacement encoder. The specific process of the flattening control module performing corresponding flattening actions is as follows: S3.

1. After receiving the flattening control strategy transmitted by the central control module, the flattening control module controls the linear actuator to drive the micro-indenters in the corresponding area to perform a downward pressing action according to the area coordinates and intensity information output by the central control module; S3.

2. During the downward pressing of the micro-indenters, the data of the pressure sensor is read in real time, and according to the intensity information output by the central control module, the downward pressing pressure value is compared with the set pressure range value. If the downward pressing pressure value is lower or higher than the set pressure range value, the action of the linear actuator is automatically adjusted or the downward pressing action is aborted and an alarm is prompted; S3.

3. During the downward pressing of the micro-indenters, the deviation between the actual displacement and the target displacement of the indenter is recorded in real time through the displacement encoder and fed back to the central control module; S3.

4. After the flattening action is completed, a "flattening completed" signal is sent to the central control module.

10. The control method of the self-adaptive thickness self-flattening printer according to claim 7, characterized in that, The printing execution module includes a nozzle interface, a power supply unit, an output control unit, and a monitoring unit. The specific process of the printing execution module performing corresponding printing actions is as follows: S4.

1. After the output control unit of the printing execution module receives the "print enable" signal output by the central control module, it drives the power supply unit to work; S4.

2. After the power supply unit responds, it outputs a controlled pulse voltage to drive the nozzle heating element to form bubbles, enabling the thermal inkjet print head connected to the nozzle interface to eject ink droplets; S4.

3. During the inkjet process of the printhead, the monitoring unit monitors the working status of each channel in real time and feeds back the monitoring results to the central control module for determining whether there is any abnormality or aging in the printhead. Among them, the monitoring content includes the nozzle heating current, voltage fluctuation, open circuit or overheating of the printhead.