White ink circulation printing pause control method and storage medium

Abstract

The invention discloses a white ink circulation printing pause control method and a storage medium, and relates to the technical field of ink-jet printing, and the method comprises the steps: deploying a three-dimensional air sensor array around a printer, collecting environment airflow data in real time, building an airflow disturbance prediction model based on the data, and outputting an airflow risk level; when a printing task is started, an ink circulation control strategy is dynamically selected according to the airflow risk level: if the risk level exceeds a threshold value, ink circulation is paused, and an ink jet parameter compensation mechanism is activated; if not, reducing the ink circulation flow rate to a preset safety value; meanwhile, the ink jet pressure, the ink jet frequency and the ink circulation flow speed are adjusted in real time, the stability of an ink drop point is maintained, in addition, the method further comprises a precipitation inhibition mechanism and a closed-loop optimization mechanism, the printing process is further optimized, and the printing quality and stability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of inkjet printing, and more particularly to a method for controlling the pause of white ink circulation printing and a storage medium. Background Art

[0002] In modern printing technology, white ink printing has attracted much attention due to its unique visual effects and wide range of applications. However, the physical properties of white ink bring many inconveniences to the printing process. White ink particles are large and easily settle. If left stationary for a long time, they can cause nozzle clogging, affecting print quality. To address this problem, the traditional method is to use an ink circulation system to keep the ink flowing and prevent sedimentation. However, this method has significant drawbacks in practical applications. On the one hand, air is easily introduced during the ink circulation process, causing nozzle clogging and affecting print quality. On the other hand, disturbances in the ambient airflow can also have an adverse effect on the printing process. Especially in high-precision printing tasks, slight changes in airflow can cause deviations in ink droplet landing points, further reducing print quality. In addition, the existing technology lacks effective monitoring and prediction methods for ambient airflow disturbances, making it impossible to take measures in advance to deal with sudden airflow changes, resulting in interruptions in the printing process or reduced print quality. Therefore, a control method that can monitor ambient airflow in real time, predict airflow disturbances, and dynamically adjust ink circulation and inkjet parameters is urgently needed to improve the stability and reliability of white ink printing.

[0003] Therefore, the existing white ink printing technology has problems such as the ink circulation is prone to introduce air, cannot effectively deal with environmental air flow disturbances, and lacks air flow disturbance monitoring and prediction methods. Summary of the Invention

[0004] In order to overcome the problems in the prior art of white ink printing, such as the easy introduction of air into the ink circulation, the inability to effectively cope with environmental airflow disturbances, and the lack of airflow disturbance monitoring and prediction methods, the present invention discloses a white ink ink circulation printing pause control method and storage medium that can effectively solve the above technical problems.

[0005] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

[0006] A method for controlling pause of white ink circulation printing, the method comprising:

[0007] Deploy a three-dimensional air sensor array around the printer to collect ambient airflow data in real time;

[0008] Building an airflow disturbance prediction model based on the environmental airflow data and outputting an airflow risk level;

[0009] When a print job is started, the ink circulation control strategy is dynamically selected according to the airflow risk level:

[0010] If the risk level exceeds the threshold, the ink circulation is suspended and the inkjet parameter compensation mechanism is activated;

[0011] If the risk level does not exceed the threshold, the ink circulation flow rate is reduced to a preset safety value;

[0012] Real-time adjustment of inkjet pressure, inkjet frequency and ink circulation flow rate to maintain ink droplet landing point stability.

[0013] Preferably, the deployment method of the three-dimensional air sensor array includes:

[0014] At least one micro air sensor is provided on the front, back, left, right and top of the printing platform;

[0015] Each sensor collects wind speed vector and turbulence intensity in three-dimensional space in a synchronous sampling mode.

[0016] Preferably, the inkjet parameter compensation mechanism includes:

[0017] Adjust the inkjet pressure offset in the opposite direction according to the real-time wind speed direction;

[0018] Increase the inkjet frequency proportionally to the turbulence intensity;

[0019] Waveform shaping compensation is triggered when the ink drop landing point deviation exceeds the tolerance threshold.

[0020] Preferably, the switching logic of the ink circulation control strategy includes:

[0021] When a sudden air flow disturbance is detected, the ink circulation is immediately suspended and the emergency stop protection protocol is activated;

[0022] After the airflow stabilizes, the ink circulation flow rate is restored in stages.

[0023] Preferably, a precipitation inhibition mechanism is also included:

[0024] During the pause of ink circulation, pulse high-speed circulation is periodically started;

[0025] The pulse duration is negatively correlated with the sedimentation rate of white ink particles.

[0026] Preferably, the execution conditions of the pulse high-speed cycle are:

[0027] Monitor the ink viscosity change rate exceeding the critical value;

[0028] Or the continuous suspension duration reaches the sedimentation risk threshold.

[0029] Preferably, the construction of the airflow disturbance prediction model includes:

[0030] Integrate environmental data and nozzle clogging records from historical printing tasks;

[0031] Generate risk level mapping function through machine learning algorithm:

[0032]

[0033] in, Indicates the risk level of nozzle clogging, and is the weight coefficient used to adjust the impact of wind speed vector and turbulence intensity standard deviation in risk assessment, is the average wind speed vector, is the standard deviation of turbulence intensity.

[0034] Preferably, the method is implemented by an alternative solution comprising:

[0035] Ultrasonic sensors are used to replace air sensor arrays, and the airflow distribution is inverted through the diffraction characteristics of sound waves;

[0036] Or the ambient airflow state can be indirectly deduced based on the vibration spectrum analysis of the printer housing.

[0037] Preferably, a closed-loop optimization mechanism is also included:

[0038] Compare the deviation between the ink droplet landing point coordinates and the expected position in real time;

[0039] Dynamically correct the weight coefficient of the airflow disturbance prediction model:

[0040]

[0041] in, is the weight coefficient The correction amount, is the correction coefficient, which is used to control the strength of the correction. It is the sum of the absolute values ​​of the coordinate deviations of the ink droplet landing points, indicating the magnitude of the prediction error.

[0042] Preferably, a computer-readable storage medium stores executable instructions, and when the instructions are executed by a processor, the control method as described above is implemented.

[0043] Compared with the prior art, the beneficial effects of the present invention are as follows: in the prior art, the ink circulation system of white ink printing is prone to introduce air due to environmental factors or its own operating problems, forming bubbles, which in turn causes nozzle blockage and poor ink droplet ejection, affecting printing quality. The present invention dynamically selects an ink circulation control strategy according to the airflow risk level when the printing task is started. If the risk level exceeds the threshold, the ink circulation is paused and the inkjet parameter compensation mechanism is activated. This strategy can effectively avoid the introduction of air by continuing the ink circulation in a high-risk airflow disturbance environment. At the same time, during the pause of the ink circulation, a pulsed high-speed circulation is periodically started, and the pulse duration is negatively correlated with the sedimentation rate of the white ink particles. This precipitation inhibition mechanism can prevent the ink from settling during the pause period, avoid uneven ink concentration caused by precipitation, and thus reduce the possibility of air introduction due to concentration changes. In addition, the execution condition of the pulsed high-speed circulation is to monitor the ink viscosity change rate exceeding the critical value or the continuous pause time reaching the sedimentation risk threshold, which further controls the start timing of the pulse circulation, ensures that the ink is always in a suitable state, and reduces the introduction of air; the existing white ink printing technology lacks effective response measures to environmental airflow disturbances, resulting in ink droplet landing points. To address problems such as deviation and blurred print patterns, this solution deploys a three-dimensional air sensor array around the printer to collect real-time ambient airflow data, including wind speed vectors and turbulence intensity in three-dimensional space. This monitoring method enables the printer to perceive airflow changes in the surrounding environment in real time, providing accurate data support for countermeasures. Based on the collected airflow data, an airflow disturbance prediction model is constructed and an airflow risk level is output, allowing the printer to foresee the risk of airflow disturbances and prepare in advance. When a sudden airflow disturbance is detected, the ink circulation is immediately suspended and the emergency stop protection protocol is activated to avoid further quality issues caused by continued printing during the airflow disturbance. After the airflow stabilizes, the ink circulation flow rate is restored in stages. This gradual recovery method ensures a smooth transition of the ink circulation system and reduces the impact of airflow disturbances caused by sudden changes in flow rate on print quality. At the same time, the inkjet parameter compensation mechanism can adjust the inkjet pressure offset in the opposite direction according to the real-time wind speed direction, increase the inkjet frequency proportionally according to the turbulence intensity, and trigger waveform shaping compensation when the ink droplet landing point deviation exceeds the tolerance threshold. These compensation measures can effectively correct the ink droplet landing point deviation caused by airflow disturbances and maintain the accuracy of the printed pattern.Existing technologies lack effective monitoring and prediction of airflow disturbances during white ink printing, making it impossible to take proactive measures to avoid print quality issues caused by airflow disturbances. This solution deploys a three-dimensional air sensor array to collect ambient airflow data in real time, enabling real-time monitoring of airflow disturbances. Simultaneously, an airflow disturbance prediction model is constructed based on this collected data. This model integrates environmental data from historical printing tasks with nozzle clogging records, and generates a risk level mapping function using a machine learning algorithm. This allows for the prediction of the risk level of airflow disturbances. This combined monitoring and prediction approach enables the printer to anticipate airflow disturbances and adjust printing parameters and ink circulation strategies in advance, thereby avoiding print quality issues caused by airflow disturbances. Furthermore, a closed-loop optimization mechanism compares the deviation between the ink droplet landing point coordinates and the expected position in real time and dynamically adjusts the weight coefficients of the airflow disturbance prediction model, further improving the accuracy of the prediction model and enabling the printer to better adapt to different printing environments and task requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the implementation methods or the description of the prior art. Obviously, the drawings described below are merely exemplary. For ordinary technicians in this field, other implementation drawings can be derived based on the provided drawings without any creative work.

[0045] Figure 1 It is a step diagram of the method of the present invention;

[0046] Figure 2 This is a flow chart of the control method of the present invention. DETAILED DESCRIPTION

[0047] The accompanying drawings are for illustrative purposes only and are not to be construed as limiting this patent;

[0048] In order to better illustrate this embodiment, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product size;

[0049] It is understandable to those skilled in the art that some well-known structures and descriptions thereof may be omitted in the drawings.

[0050] The technical solution of the present invention is further described below with reference to the accompanying drawings and embodiments.

[0051] Example 1

[0052] like Figure 1 As shown, a white ink circulation printing pause control method includes:

[0053] Deploy a three-dimensional air sensor array around the printer to collect ambient airflow data in real time;

[0054] Building an airflow disturbance prediction model based on the environmental airflow data and outputting an airflow risk level;

[0055] When a print job is started, the ink circulation control strategy is dynamically selected according to the airflow risk level:

[0056] If the risk level exceeds the threshold, the ink circulation is suspended and the inkjet parameter compensation mechanism is activated;

[0057] If the risk level does not exceed the threshold, the ink circulation flow rate is reduced to a preset safety value;

[0058] Real-time adjustment of inkjet pressure, inkjet frequency and ink circulation flow rate to maintain ink droplet landing point stability.

[0059] The deployment method of the three-dimensional air sensor array includes:

[0060] At least one micro air sensor is provided on the front, back, left, right and top of the printing platform;

[0061] Each sensor collects wind speed vector and turbulence intensity in three-dimensional space in a synchronous sampling mode.

[0062] The inkjet parameter compensation mechanism includes:

[0063] Adjust the inkjet pressure offset in the opposite direction according to the real-time wind speed direction;

[0064] Increase the inkjet frequency proportionally to the turbulence intensity;

[0065] Waveform shaping compensation is triggered when the ink drop landing point deviation exceeds the tolerance threshold.

[0066] The switching logic of the ink circulation control strategy includes:

[0067] When a sudden air flow disturbance is detected, the ink circulation is immediately suspended and the emergency stop protection protocol is activated;

[0068] After the airflow stabilizes, the ink circulation flow rate is restored in stages.

[0069] Also includes precipitation inhibition mechanisms:

[0070] During the pause of ink circulation, pulse high-speed circulation is periodically started;

[0071] The pulse duration is negatively correlated with the sedimentation rate of white ink particles.

[0072] The execution conditions of the pulse high-speed cycle are:

[0073] Monitor the ink viscosity change rate exceeding the critical value;

[0074] Or the continuous suspension duration reaches the sedimentation risk threshold.

[0075] The construction of the airflow disturbance prediction model includes:

[0076] Integrate environmental data and nozzle clogging records from historical printing tasks;

[0077] Generate risk level mapping function through machine learning algorithm:

[0078]

[0079] in, Indicates the risk level of nozzle clogging, and is the weight coefficient used to adjust the impact of wind speed vector and turbulence intensity standard deviation in risk assessment, is the average wind speed vector, is the standard deviation of turbulence intensity.

[0080] The method is implemented by alternative solutions including:

[0081] Ultrasonic sensors are used to replace air sensor arrays, and the airflow distribution is inverted through the diffraction characteristics of sound waves;

[0082] Or the ambient airflow state can be indirectly deduced based on the vibration spectrum analysis of the printer housing.

[0083] Also includes closed-loop optimization mechanisms:

[0084] Compare the deviation between the ink droplet landing point coordinates and the expected position in real time;

[0085] Dynamically correct the weight coefficient of the airflow disturbance prediction model:

[0086]

[0087] in, is the weight coefficient The correction amount, is the correction coefficient, which is used to control the strength of the correction. It is the sum of the absolute values ​​of the coordinate deviations of the ink droplet landing points, indicating the magnitude of the prediction error.

[0088] A computer-readable storage medium stores executable instructions, which implement the control method described above when executed by a processor.

[0089] In specific implementation, after the printer is powered on, the main control chip will test key components such as the print head, ink path, and sensor in sequence according to the preset program. For example, the print head will perform three pre-spray tests. If a break or blockage is detected, the system will automatically trigger the cleaning program to ensure that the print head is in normal working condition.

[0090] Miniature air sensors are precisely installed on the front, back, left, right, and top of the printing platform. Each sensor requires zero point calibration and sensitivity calibration after installation. Taking the top sensor as an example, after calibration, its wind speed measurement error must be strictly controlled within ±0.1m / s to ensure the accuracy of data collection.

[0091] Load the historical printing task database, which contains the environmental airflow data and nozzle blockage records of the past year. Through data preprocessing techniques such as removing outliers and normalizing data, a high-quality training set for training the airflow disturbance prediction model is constructed.

[0092] Each sensor synchronously collects wind speed vector and turbulence intensity data in three-dimensional space at a preset 100Hz sampling frequency. For example, the sensor on the front of the print platform collects 100 sets of wind speed data per second. Each set of data contains wind speed values ​​and turbulence intensity information in the X, Y, and Z axis directions, fully capturing the dynamic changes of the ambient airflow.

[0093] The collected data is transmitted to the central processing unit (CPU) in real time via the high-speed RS-485 serial port to ensure that no data is lost during transmission, providing a timely and accurate data source for risk assessment.

[0094] Based on the collected environmental airflow data, an airflow disturbance prediction model is constructed using advanced machine learning algorithms such as random forest. The input features of the model include key airflow parameters such as the average wind speed vector and the standard deviation of turbulence intensity. The output is an airflow risk level of 0-10. Through learning and training on a large amount of historical data, the model can accurately predict printing risks under different airflow conditions.

[0095] The model calculates various indicators of the current ambient airflow in real time and outputs the corresponding risk level. For example, when the average wind speed vector is greater than 3m / s and the standard deviation of turbulence intensity is greater than 0.5, the risk level is determined to be level 7, prompting the system to adopt corresponding control strategies.

[0096] The user sends a print instruction through the printer operation interface. The instruction contains detailed parameters such as print content, size, quality requirements, etc. The CPU parses the instruction and generates an orderly print task queue to ensure efficient execution of the print task.

[0097] The ink circulation control strategy is dynamically selected according to the airflow risk level. When the risk level exceeds the preset threshold, such as level 6, the system will suspend ink circulation and activate the inkjet parameter compensation mechanism to cope with the high-risk airflow environment. If the risk level does not exceed the threshold, the ink circulation flow rate will be reduced to a preset safety value such as 1.2L / min, saving ink while ensuring print quality.

[0098] The print head precisely ejects ink according to the printing data, and adjusts the inkjet pressure, inkjet frequency and ink circulation flow rate in real time. For example, when it detects that the wind speed direction is to the left, the system will adjust the inkjet pressure offset in the opposite direction so that the ink droplets can accurately fall on the printing medium, ensuring the clarity and accuracy of the mark.

[0099] The ink droplet landing point is monitored in real time through visual sensors and compared with the expected position. If the deviation exceeds the tolerance threshold of 0.2mm, the system will trigger the waveform shaping compensation mechanism, adjust the nozzle drive waveform, correct the ink droplet landing point, and ensure the stability of printing quality.

[0100] After the printing task is completed, the printer automatically stops the inkjet operation. At the same time, the system will record the relevant data of this printing in detail, such as printing time, ink consumption, ink drop landing point deviation, etc., to provide data support for subsequent analysis and optimization.

[0101] Restart the white ink stirring device, restore the ink circulation to the normal flow rate of 2L / min, and perform a comprehensive self-check of the ink circulation system to ensure that the ink is in good working condition for the next printing.

[0102] During the ink circulation pause, the system monitors the ink viscosity change rate and pause duration in real time. When the ink viscosity change rate exceeds the critical value of 5% / min or the continuous pause duration reaches the sedimentation risk threshold of 10 minutes, the pulsed high-speed circulation is immediately started.

[0103] The pulse duration is dynamically adjusted according to the sedimentation rate of the white ink particles. For example, if the sedimentation rate is fast, such as 0.1mm / s, the pulse duration is set to 30 seconds; if the sedimentation rate is slow, such as 0.05mm / s, the pulse duration is set to 15 seconds to ensure uniform mixing of the ink and prevent sedimentation.

[0104] The deviation between the ink droplet landing point coordinates and the expected position is compared in real time, and the sum of the absolute values ​​of the deviations is calculated. For example, in a certain printing area, the X-axis deviation between the actual ink droplet landing point and the expected position is 0.1mm, the Y-axis deviation is 0.05mm, and the Z-axis deviation is 0.02mm. The sum of the absolute values ​​of the deviations is 0.17mm.

[0105] The weight coefficient of the airflow disturbance prediction model is dynamically corrected according to the sum of the absolute values ​​of the deviations. For example, if the sum of the absolute values ​​of the deviations is large, such as 0.3 mm, the weight coefficient of the wind speed vector in the risk assessment is increased to improve the model prediction accuracy and enable the system to respond to different airflow environments more accurately.

[0106] After all operations are completed, the printer enters a low-energy standby state, shuts down non-essential components, and securely saves the relevant data of this print to the database, providing rich data support for model optimization and print quality analysis.

[0107] Example 2

[0108] See also Figure 2 , multiple UWB base stations are evenly deployed in large industrial identification printing workshops to ensure that the signal can fully cover the entire printing area. Each base station communicates with the UWB tag on the printing device in real time to collect distance data and signal characteristic parameters in real time.

[0109] The UWB base station collects distance data and corresponding signal characteristic parameters such as signal strength and arrival time from the UWB tag at a frequency of 10Hz, and transmits them to the central processing unit in real time through stable Wi-Fi wireless communication, providing data support for environmental monitoring and positioning.

[0110] Signal characteristic parameters are extracted from the received data, such as signal propagation time, signal strength attenuation, etc. These parameters can reflect the changes in the signal during the transmission process.

[0111] Multimodal XLOS recognition is performed by combining environmental perception data such as temperature, humidity, obstacle distribution, and motion trajectory data, such as the position, speed, and acceleration of the printing device. By integrating multiple aspects of data, it is possible to more accurately determine whether there is a non-line-of-sight (NLOS) situation during signal transmission.

[0112] Advanced machine learning algorithms are used to calculate the NLOS probability corresponding to each UWB base station. When the NLOS probability is higher than a first preset threshold of 0.7, the base station is determined as a candidate base station to enable more accurate distance data correction.

[0113] Obtain the distance data and corresponding measurement timestamps of each candidate base station, and use time synchronization technology to ensure the time consistency of the data to avoid positioning errors caused by time differences.

[0114] The system selects a first base station from multiple candidate base stations and predicts the future position of the printing device based on its motion state, such as speed and acceleration. For example, if the printing device moves along the X-axis at a speed of 1m / s, the system predicts its position in 0.1 seconds and corrects the distance data of the first base station based on this position to improve the accuracy of the distance data.

[0115] Using the corrected distance data and the distance data of other candidate base stations, a high-precision three-sided positioning algorithm is used to calculate the spatial position of the printing device. The three-sided positioning algorithm determines the coordinates of the printing device in three-dimensional space by measuring the distance from the printing device to three or more base stations.

[0116] When the deviation between the corrected distance data and the positioning results calculated based on other candidate base stations is less than a second preset threshold of 0.1 m, the spatial position of the printing device is determined, and the accuracy and reliability of the positioning result are ensured through result verification.

[0117] Based on the determined spatial location of the printing device and combined with environmental perception data, the system analyzes factors in the printing environment that may affect print quality, such as airflow and obstacles. If the printing device is located in an airflow vortex area, the system will recommend adjusting the direction of the air conditioning outlet to improve the printing environment.

[0118] According to the optimization suggestions, adjust the position of the printer and UWB base station, such as moving the printer to an area with stable airflow, and redeploy the UWB base station to improve positioning accuracy, reduce the impact of environmental factors on printing accuracy, and create environmental conditions for high-quality printing.

[0119] Real-time monitoring of airflow data in the printing environment, including wind speed, wind direction, turbulence intensity, etc., through high-precision sensors and data acquisition systems, to fully grasp the dynamic changes of environmental airflow.

[0120] Adjust the ink circulation flow rate or suspend ink circulation according to the airflow risk level. For example, when the airflow risk level is high, suspend ink circulation to avoid interference with ink circulation; when the risk level decreases, resume ink circulation and adjust the flow rate to an appropriate value to ensure ink stability and print quality.

[0121] The printer precisely ejects ink based on the print task data, and adjusts the inkjet pressure, inkjet frequency, and ink circulation flow rate in real time. For example, based on the monitored airflow data, the inkjet pressure is adjusted in reverse so that the ink droplets can land accurately on the print medium, ensuring the clarity and accuracy of industrial markings.

[0122] The ink droplet landing point is monitored in real time through a visual sensor and compared with the expected position. If the deviation exceeds the tolerance threshold, the waveform shaping compensation mechanism is triggered to adjust the nozzle drive waveform and correct the ink droplet landing point to ensure the stability of printing quality.

[0123] After the printing task is completed, the printer automatically stops the inkjet operation. At the same time, the system records the relevant data of this printing in detail, such as printing time, ink consumption, ink drop landing point deviation, etc., to provide data support for analysis and optimization.

[0124] Restart the white ink stirring device, restore the ink circulation to normal flow rate, and perform a comprehensive self-check of the ink circulation system to ensure that the ink is in good working condition for the next printing.

[0125] During the ink circulation pause, the system monitors the ink viscosity change rate and pause duration in real time. When the ink viscosity change rate exceeds the critical value or the continuous pause duration reaches the sedimentation risk threshold, the pulsed high-speed circulation is started.

[0126] The pulse duration is dynamically adjusted according to the sedimentation rate of white ink particles to ensure uniform mixing of ink, prevent sedimentation, and guarantee the quality of ink and printing effect.

[0127] The deviation between the ink droplet landing point coordinates and the expected position is compared in real time, and the sum of the absolute values ​​of the deviations is calculated. Through accurate deviation calculation, the stability of the printing quality is evaluated.

[0128] The weight coefficient of the airflow disturbance prediction model is dynamically corrected according to the sum of the absolute values ​​of the deviations, thereby improving the model prediction accuracy, optimizing the ink circulation control strategy, and enabling the system to adapt to different printing environments.

[0129] After all operations are completed, the printer enters standby mode, shuts down non-essential components to reduce energy consumption, and securely saves the relevant data of this printing to the database, providing data support for model optimization and print quality analysis, and continuously improving the quality and efficiency of industrial logo printing.

[0130] The same or similar reference numerals correspond to the same or similar components;

[0131] The terms used in the drawings to describe positional relationships are for illustrative purposes only and should not be construed as limiting this patent;

[0132] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the field, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to enumerate all the implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the claims of the present invention.

Claims

1. A white ink circulation printing pause control method, characterized in that: The method comprises: Deploy a three-dimensional air sensor array around the printer to collect ambient airflow data in real time; Building an airflow disturbance prediction model based on the environmental airflow data and outputting an airflow risk level; When a print job is started, the ink circulation control strategy is dynamically selected according to the airflow risk level: If the risk level exceeds the threshold, the ink circulation is suspended and the inkjet parameter compensation mechanism is activated; If the risk level does not exceed the threshold, the ink circulation flow rate is reduced to a preset safety value; Real-time adjustment of inkjet pressure, inkjet frequency and ink circulation flow rate to maintain ink droplet landing point stability.

2. The control method according to claim 1, wherein: The deployment method of the three-dimensional air sensor array includes: At least one micro air sensor is provided on the front, back, left, right and top of the printing platform; Each sensor collects wind speed vector and turbulence intensity in three-dimensional space in a synchronous sampling mode.

3. The control method according to claim 1, wherein: The inkjet parameter compensation mechanism includes: Adjust the inkjet pressure offset in the opposite direction according to the real-time wind speed direction; Increase the inkjet frequency proportionally to the turbulence intensity; Waveform shaping compensation is triggered when the ink drop landing point deviation exceeds the tolerance threshold.

4. The control method according to claim 1, wherein: The switching logic of the ink circulation control strategy includes: When a sudden air flow disturbance is detected, the ink circulation is immediately suspended and the emergency stop protection protocol is activated; After the airflow stabilizes, the ink circulation flow rate is restored in stages.

5. The control method according to claim 1, wherein: Also includes precipitation inhibition mechanisms: During the pause of ink circulation, pulse high-speed circulation is periodically started; The pulse duration is negatively correlated with the sedimentation rate of white ink particles.

6. The control method according to claim 5, wherein: The execution conditions of the pulse high-speed cycle are: Monitor the ink viscosity change rate exceeding the critical value; Or the continuous suspension duration reaches the sedimentation risk threshold.

7. The control method according to claim 1, wherein: The construction of the airflow disturbance prediction model includes: Integrate environmental data and nozzle clogging records from historical printing tasks; Generate risk level mapping function through machine learning algorithm: in, Indicates the risk level of nozzle clogging, and is the weight coefficient used to adjust the impact of wind speed vector and turbulence intensity standard deviation in risk assessment, is the average wind speed vector, is the standard deviation of turbulence intensity.

8. The control method according to claim 1, wherein: The method is implemented by alternative solutions including: Ultrasonic sensors are used to replace air sensor arrays, and the airflow distribution is inverted through the diffraction characteristics of sound waves; Or the ambient airflow state can be indirectly deduced based on the vibration spectrum analysis of the printer housing.

9. The control method according to claim 1, wherein: Also includes closed-loop optimization mechanisms: Compare the deviation between the ink droplet landing point coordinates and the expected position in real time; Dynamically correct the weight coefficient of the airflow disturbance prediction model: in, is the weight coefficient The correction amount, is the correction coefficient, which is used to control the strength of the correction. It is the sum of the absolute values ​​of the coordinate deviations of the ink droplet landing points, indicating the magnitude of the prediction error.

10. A computer-readable storage medium storing executable instructions, characterized in that: When the instructions are executed by a processor, the control method according to any one of claims 1 to 9 is implemented.

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