Nozzle state real-time monitoring method and device and storage medium

Abstract

The invention discloses a nozzle state real-time monitoring method and device and a storage medium, and relates to the technical field of nozzle state monitoring, and the method comprises the steps: obtaining image and parameter data in the working process of a nozzle, carrying out the denoising and contrast adjustment, positioning the center of gravity of an ink droplet, building coordinate mapping, and extracting the physical parameters of the ink droplet. Calculating an ink droplet speed and a track by combining multiple frames of images; normal ink droplet parameters are collected, a model is established and optimized, the nozzle state is compared and judged, the fault type is diagnosed when the nozzle state is abnormal, the result is displayed through a visual interface, the nozzle state can be accurately monitored in real time, and the production efficiency and the product quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of nozzle state monitoring, and more specifically, to a method, device, and storage medium for real-time monitoring of nozzle state. Background Art

[0002] In the fields of inkjet printing, industrial spraying, etc., the state of the nozzle directly affects the quality and production efficiency of products. Traditional nozzle state monitoring methods mainly rely on manual observation, which has problems such as strong subjectivity, low accuracy, and low efficiency. For example, observing ink droplets with the naked eye with the help of a microscope tool, or installing the nozzle on a machine and judging the quality of the ink by printing on paper. These methods are not only easily affected by human factors, resulting in unstable judgment criteria, but also for the case where the ink droplet arrangement is dense and the imaging is single when multiple types of nozzles spray ink, the long observation time is likely to cause visual fatigue to people, further affecting the accuracy of the judgment result.

[0003] Therefore, the prior art has problems such as strong subjectivity, low accuracy, and low efficiency in manually observing the nozzle state. Summary of the Invention

[0004] In order to overcome the problems of strong subjectivity, low accuracy, and low efficiency in manually observing the nozzle state in the prior art, the present invention designs a method, device, and storage medium for real-time monitoring of nozzle state, which can effectively solve the above technical problems.

[0005] To solve the above technical problems, the technical solution of the present invention is as follows:

[0006] A method for real-time monitoring of nozzle state includes the following steps:

[0007] Obtain image data of the nozzle during the working process, where the image data contains ink droplet information; collect relevant parameter data of the nozzle during operation;

[0008] Perform denoising processing on the obtained image data, adjust the contrast of the image data based on a preset image standard, and enhance the contrast between the ink droplets and the background;

[0009] Locate the image spacing of the ink droplet centroid, and calculate the actual physical size of each pixel point according to the physical spacing between two nozzle orifices of the nozzle to establish a mapping relationship between the image and the physical coordinate system;

[0010] Extract the physical parameters of the ink droplets from the preprocessed image data; calculate the falling speed and trajectory of the ink droplets according to the change of the ink droplet centroid coordinates in consecutive multiple frames of images in combination with the image acquisition time interval;

[0011] Collect the ink droplet parameter data of different types of nozzles under normal working conditions, and establish an ink droplet parameter model for the nozzles under normal working conditions; optimize the ink droplet parameter model according to the environmental factors during the operation of the nozzles;

[0012] Compare the extracted physical parameters of the ink droplets with the ink droplet parameter model to determine whether the nozzle is in a normal working state; when the nozzle state is abnormal, determine the fault type of the nozzle according to the type of abnormal parameters and in combination with the preset fault diagnosis rules;

[0013] Display the physical parameters of the ink droplets, the working state of the nozzle, and the fault diagnosis results through a visualization interface.

[0014] Preferably, in the data acquisition step, the method for obtaining the image data is as follows:

[0015] Install the ink ejection device of the nozzle perpendicular to the plane, install the camera with a telecentric lens parallel to the plane, the lens facing the ink ejection position of the nozzle, ensure that the camera field of view covers at least ten nozzle holes, and install the source lamp beads directly opposite the lens to ensure clear imaging; use the board card to provide an IO signal to trigger the nozzle to eject ink, the camera to take pictures, and the light source to turn on simultaneously, and obtain the image data containing the ink droplets.

[0016] Preferably, in the image preprocessing step, the denoising process uses the wavelet transform algorithm, specifically:

[0017] Perform wavelet decomposition on the image data to obtain sub-band coefficients of different frequencies;

[0018] According to the frequency characteristics of the noise, perform threshold processing on the high-frequency sub-band coefficients to remove the high-frequency components caused by the noise;

[0019] Obtain the denoised image data through wavelet reconstruction.

[0020] Preferably, the image spacing for locating the center of gravity of the ink droplet uses the contour detection algorithm; the actual physical size of each pixel point is calculated according to the physical distance between two nozzle holes of the nozzle using the principle of similar triangles.

[0021] Preferably, the specific method for extracting the physical parameters of the ink droplets is as follows:

[0022] The user uses the user interface interaction algorithm to frame a single ink droplet;

[0023] Use the contour analysis algorithm and the shape feature calculation algorithm to fit the center of gravity coordinates, roundness, and volume size according to the ink droplet contour;

[0024] Use the gray-scale analysis algorithm to extract the gray-scale mean value in this ink droplet area;

[0025] The method for calculating the roundness of the ink droplet is:

[0026] Calculate the equivalent circle radius req of the ink droplet according to the ink droplet profile;

[0027] Calculate the perimeter C and area S of the actual profile of the ink droplet;

[0028] Calculate the roundness of the ink droplet using the formula: roundness = 4πS / C^2.

[0029] Preferably, the steps of calculating the falling speed and trajectory of the ink droplet are as follows:

[0030] The user uses the user interface interaction algorithm to frame the ink droplet to be tracked;

[0031] Calculate the change in the centroid coordinates of the ink droplet between two frames by the optical flow method to obtain the falling speed of the ink droplet and the falling trajectory between each frame.

[0032] Preferably, in the step of model construction, the process of optimizing the ink droplet parameter model is as follows:

[0033] Establish a relationship function between temperature, humidity and ink droplet parameters, obtain ink droplet parameter data under different temperature and humidity conditions through experiments, and fit to obtain the relationship function;

[0034] According to the real-time collected environmental temperature and humidity data, substitute them into the relationship function to correct the ink droplet parameter model.

[0035] Preferably, in the step of state evaluation, the specific method for determining the type of nozzle failure is as follows:

[0036] When the physical size of the ink droplet exceeds the normal range and the change trend is abnormal, combined with the nozzle working pressure data, judge whether it is a nozzle blockage or nozzle aperture wear failure;

[0037] If the centroid coordinates of the ink droplet deviate and the falling speed is unstable, check the installation position and driving device of the nozzle to determine whether there is an installation deviation or driving failure.

[0038] An electronic device includes a processor, a memory, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the above-mentioned real-time monitoring method for the nozzle state.

[0039] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned real-time monitoring method for the nozzle state.

[0040] Compared with the prior art, the beneficial effects of the present invention are as follows: Through high-precision camera imaging, the present invention can be compatible with the smallest ink droplets ejected by the nozzle. This high-precision imaging ensures the accurate capture of the minute characteristics of the ink droplets, providing a data basis for subsequent parameter measurement and status evaluation. At the same time, the device has high compatibility with different types of nozzles. Only by replacing the nozzle can continuous observation be carried out without the need to manufacture other devices, improving the versatility and flexibility of the equipment and reducing the usage cost. All parameters of the ink droplets are displayed on the interface, and the software can also draw lines and values on the image to make the movement trajectory of the ink droplets more accurately visualized. This intuitive parameter display method enables users to quickly and accurately understand the working status of the nozzle, facilitating the timely discovery of abnormal situations and handling them, and improving the quality control efficiency in the production process. By establishing an ink droplet parameter model under the normal working state of the nozzle and optimizing it in combination with environmental factors, fault diagnosis becomes more accurate. At the same time, according to the type of abnormal parameters and the preset fault diagnosis rules, the fault type of the nozzle can be comprehensively and meticulously determined, providing a clear direction and basis for the maintenance and repair of the nozzle, reducing the equipment downtime, and improving the production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, without creative efforts, other implementation drawings can be obtained by extending the provided drawings.

[0042] Figure 1 It is the installation structure diagram of the device of the present invention;

[0043] Figure 2 It is the working flow chart of the present invention;

[0044] Figure 3 It is the method step diagram of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The drawings are only for exemplary illustration and cannot be construed as a limitation to this patent;

[0046] In order to better illustrate this embodiment, some components in the drawings will be omitted, enlarged or reduced, which does not represent the size of the actual product;

[0047] For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0048] The following will further illustrate the technical solutions of the present invention with reference to the drawings and embodiments.

[0049] Embodiment

[0050] A method for real-time monitoring of the state of a nozzle, please refer to Figures 1-3 , including the following steps:

[0051] Obtain image data of the nozzle during operation, where the image data contains ink droplet information; collect relevant parameter data of the nozzle during operation;

[0052] Perform denoising processing on the obtained image data, adjust the contrast of the image data based on a preset image standard, and enhance the contrast between the ink droplets and the background;

[0053] Locate the image spacing of the center of gravity of the ink droplets, and calculate the actual physical size of each pixel point according to the physical spacing between two nozzle orifices of the nozzle to establish a mapping relationship between the image and the physical coordinate system;

[0054] Extract the physical parameters of the ink droplets from the preprocessed image data; calculate the falling speed and trajectory of the ink droplets according to the change of the center of gravity coordinates of the ink droplets in consecutive multiple frames of images, combined with the image acquisition time interval;

[0055] Collect ink droplet parameter data of different types of nozzles in the normal working state, and establish an ink droplet parameter model for the normal working state of the nozzle; optimize the ink droplet parameter model according to the environmental factors during the operation of the nozzle;

[0056] Compare the extracted physical parameters of the ink droplets with the ink droplet parameter model to determine whether the nozzle is in the normal working state; when the state of the nozzle is abnormal, determine the fault type of the nozzle according to the type of abnormal parameters, combined with the preset fault diagnosis rules;

[0057] Display the physical parameters of the ink droplets, the working state of the nozzle, and the fault diagnosis results through a visualization interface.

[0058] In the data acquisition step, the method for obtaining the image data is:

[0059] Install the ink discharging device of the nozzle perpendicular to the plane, install the camera with a telecentric lens parallel to the plane, the lens faces the ink discharging position of the nozzle, ensure that the camera field of view covers at least ten nozzle holes, install the source lamp beads directly opposite the lens to ensure clear imaging; provide an IO signal by the board card to trigger the nozzle to drip ink, the camera to take pictures, and the light source to light up simultaneously, and obtain the image data containing ink droplets.

[0060] In the image preprocessing step, the denoising processing uses the wavelet transform algorithm, specifically:

[0061] Perform wavelet decomposition on the image data to obtain sub-band coefficients of different frequencies;

[0062] According to the frequency characteristics of the noise, threshold processing is performed on the high-frequency subband coefficients to remove the high-frequency components caused by the noise;

[0063] The denoised image data is obtained through wavelet reconstruction.

[0064] The image spacing for locating the center of gravity of the ink droplet uses a contour detection algorithm; calculating the actual physical size of each pixel point according to the physical spacing between two nozzle holes of the nozzle uses the principle of similar triangles.

[0065] The specific method for extracting the physical parameters of the ink droplet is as follows:

[0066] The user uses the user interface interaction algorithm to select a single ink droplet by drawing a box;

[0067] Using the contour analysis algorithm and the shape feature calculation algorithm, the center of gravity coordinates, roundness, and volume size are fitted according to the ink droplet contour;

[0068] In this ink droplet area, the gray-scale analysis algorithm is used to extract the average gray-scale value;

[0069] The method for calculating the roundness of the ink droplet is:

[0070] According to the ink droplet contour, calculate its equivalent circle radius req;

[0071] Calculate the perimeter C and area S of the actual contour of the ink droplet;

[0072] Use the formula: roundness = 4πS / C^2 to calculate the roundness of the ink droplet.

[0073] The calculation of the falling speed and trajectory of the ink droplet:

[0074] The user uses the user interface interaction algorithm to select the ink droplet to be tracked by drawing a box;

[0075] Through the optical flow method, the change in the center of gravity coordinates of the ink droplet between two frames is calculated to obtain the falling speed of the ink droplet and the falling trajectory between each frame.

[0076] In the step of model construction, the process of optimizing the ink droplet parameter model is as follows:

[0077] Establish a relationship function between temperature, humidity and ink droplet parameters, obtain ink droplet parameter data under different temperature and humidity conditions through experiments, and fit to obtain the relationship function;

[0078] According to the real-time collected environmental temperature and humidity data, substitute them into the relationship function to correct the ink droplet parameter model.

[0079] In the step of state evaluation, the specific method for determining the type of nozzle failure is:

[0080] When the physical size of ink droplets exceeds the normal range and the change trend is abnormal, combined with the nozzle working pressure data, determine whether the nozzle is blocked or the nozzle aperture is worn;

[0081] If the coordinates of the center of gravity of the ink droplet are offset and the falling speed is unstable, check the installation position and drive device of the nozzle to determine whether there is an installation deviation or drive failure.

[0082] An electronic device comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein the computer program implements the steps of the above-mentioned method for real-time monitoring of the status of a nozzle when executed by the processor.

[0083] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for real-time monitoring of the status of a nozzle are implemented.

[0084] In the specific implementation, the ink outlet device of the nozzle is installed perpendicular to the plane, the camera is equipped with a telecentric lens and installed parallel to the plane, the lens faces the ink outlet position of the nozzle, ensuring that the camera field of view covers at least ten nozzle holes, and the source lamp bead is installed opposite to the lens to ensure clear imaging. The board provides IO signals to simultaneously trigger the nozzle to drip ink, the camera to take pictures, and the light source to light up, so as to obtain image data containing ink droplets.

[0085] Collect relevant parameter data when the nozzle is working, such as the working pressure, working voltage, working frequency, etc. of the nozzle. These parameter data can be obtained through the sensor provided by the nozzle or the external detection equipment, and stored in a certain data format, so that they can be used together with the image data for nozzle status monitoring later.

[0086] The collected image data is denoised using the wavelet transform algorithm. The specific steps are: perform wavelet decomposition on the image data to obtain sub-band coefficients of different frequencies; perform threshold processing on the high-frequency sub-band coefficients according to the frequency characteristics of the noise to remove the high-frequency components caused by the noise; and obtain the denoised image data through wavelet reconstruction.

[0087] The contrast of the denoised image data is adjusted based on the preset image standard to enhance the contrast between the ink droplets and the background. This can be achieved by adjusting the image histogram, applying a contrast enhancement algorithm, etc., so that the ink droplets are more clearly distinguishable in the image. The contrast adjustment is performed based on the preset image standard. This image standard can be pre-set according to the characteristics of the ink droplets of the nozzle and the performance of the imaging device. For example, the grayscale value range of the ink droplet area and the grayscale value range of the background area are set to ensure that the difference between the ink droplets and the background can be clearly displayed after the image is adjusted, thereby facilitating subsequent image analysis and processing.

[0088] The image spacing of the center of gravity of the ink droplet is located using a contour detection algorithm, which can identify the edge contour of the ink droplet in the image and then calculate the coordinates of the center of gravity of the ink droplet. According to the physical spacing between two nozzle holes of the nozzle, using the principle of similar triangles, the actual physical size of each pixel is calculated, thereby establishing a mapping relationship between the image and the physical coordinate system. Specifically, by measuring the pixel spacing between two nozzle holes in the image and combining the known physical spacing, the physical size corresponding to each pixel can be calculated, and then the position information in the image coordinate system can be converted into the actual size in the physical coordinate system.

[0089] The user uses the user interface interaction algorithm to select a single ink droplet by frame selection to determine the ink droplet area to be analyzed. Within the selected ink droplet area, the contour analysis algorithm and the shape feature calculation algorithm are used to fit the center of gravity coordinates, roundness, and volume size according to the ink droplet contour. At the same time, the gray value analysis algorithm is used to extract the average gray value within this ink droplet area. According to the ink droplet contour, its equivalent circle radius req is calculated; the perimeter C and area S of the actual ink droplet contour are calculated; using the formula: roundness = 4πS / C 2 Calculate the roundness of the ink droplet.

[0090] The user uses the user interface interaction algorithm to select the ink droplet to be tracked by frame selection to determine the tracking target. The change in the center of gravity coordinates of the ink droplet between consecutive multiple frames of images is calculated by the optical flow method. The optical flow method can estimate the movement of pixel points in the image between consecutive frames, thereby obtaining the movement trajectory and speed change of the center of gravity of the ink droplet. Combining the image acquisition time interval, the falling speed of the ink droplet and the falling trajectory between each frame can be accurately calculated. The ink droplet parameter data of different types of nozzles in the normal working state are collected, including parameters such as the size, shape, speed, trajectory, and gray value of the ink droplet.

[0091] Based on the collected ink droplet parameter data in the normal working state, an ink droplet parameter model in the normal working state of the nozzle is established. This model can use statistical models, machine learning models, etc. to describe and fit the distribution and characteristics of normal ink droplet parameters.

[0092] A relationship function between temperature, humidity, and ink droplet parameters is established. The ink droplet parameter data under different temperature and humidity conditions are obtained through experiments, and the relationship function is fitted. According to the real-time collected environmental temperature and humidity data, the ink droplet parameter model is corrected by substituting them into the relationship function to make it more in line with the nozzle state in the actual working environment.

[0093] Compare the extracted physical parameters of the ink droplet with the optimized ink droplet parameter model to determine whether the nozzle is in the normal working state. If the ink droplet parameters are within the normal range of the model, the nozzle works normally; if it exceeds the normal range, the nozzle may be abnormal.

[0094] When the state of the nozzle is abnormal, according to the type of abnormal parameters and in combination with preset fault diagnosis rules, which are formulated in advance based on the structure, working principle, and manifestation forms of common faults of the nozzle, determine the fault type of the nozzle. For example, when the physical size of the ink droplets exceeds the normal range and the change trend is abnormal, in combination with the nozzle working pressure data, judge whether it is a nozzle clogging or nozzle aperture wear fault; if the center of gravity coordinates of the ink droplets deviate and the falling speed is unstable, check the installation position and driving device of the nozzle to determine whether there is an installation deviation or driving fault.

[0095] Through the visualization interface, display the physical parameters of the ink droplets, the working state of the nozzle, and the fault diagnosis results in an intuitive manner. The physical parameters of the ink droplets can be displayed in the form of numerical values, charts, etc., the working state of the nozzle can be indicated as normal or abnormal using colors, icons, etc., and the fault diagnosis results clearly show the fault type and possible causes, facilitating users to understand the real-time state and problems of the nozzle.

[0096] The electronic device includes a processor, a memory, and a computer program stored on the memory and executable on the processor. The processor is responsible for executing the computer program to implement each step of the above nozzle state real-time monitoring method. The memory is used to store information such as the collected image data, parameter data, ink droplet parameter model, and monitoring results. The computer program contains various algorithms and logics required to implement the monitoring method, such as image processing algorithms, parameter calculation algorithms, model construction and optimization algorithms, fault diagnosis rules, etc.

[0097] A computer program is stored on a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above nozzle state real-time monitoring method. The storage medium can be various media such as optical discs, hard disks, flash memories, etc. that can store program codes. By storing the program codes of the monitoring method therein, the electronic device can read and execute the corresponding monitoring functions.

[0098] The same or similar reference numerals correspond to the same or similar components;

[0099] The terms describing the positional relationship in the drawings are only for illustrative purposes and should not be construed as a limitation of this patent;

[0100] Obviously, the above embodiments of the present invention are merely examples for clearly explaining the present invention and are not limitations on the implementation manners of the present invention. For those of ordinary skill in the art, 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 manners here. Any modifications, equivalent replacements, and improvements made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A method for real-time monitoring of nozzle status, characterized in that: The following steps are involved: Acquire image data of the nozzle during operation, wherein the image data includes ink drop information; collect relevant parameter data of the nozzle during operation; Performing denoising on the acquired image data, and adjusting the contrast of the image data based on a preset image standard to enhance the contrast between the ink droplets and the background; The image spacing of the center of gravity of the ink droplets is located, and the actual physical size of each pixel is calculated according to the physical spacing between the two nozzles of the nozzle to establish a mapping relationship between the image and the physical coordinate system; Extracting physical parameters of ink droplets from the preprocessed image data; According to the change of the coordinates of the center of gravity of the ink drop in the continuous multi-frame images, combined with the image acquisition time interval, the falling speed and trajectory of the ink drop are calculated; Collect ink drop parameter data of different types of nozzles under normal working conditions, and establish an ink drop parameter model of the nozzle under normal working conditions; optimize the ink drop parameter model according to environmental factors when the nozzle is working; Compare the extracted physical parameters of the ink droplets with the ink droplet parameter model to determine whether the printhead is in a normal working state; when the printhead is in an abnormal state, determine the fault type of the printhead according to the abnormal parameter type and the preset fault diagnosis rules; The physical parameters of the ink droplets, the working status of the nozzle and the fault diagnosis results are displayed through a visual interface.

2. The method for real-time monitoring of the nozzle status according to claim 1, characterized in that: In the data acquisition step, the image data is obtained by: The ink outlet device of the nozzle is installed perpendicular to the plane, and the camera with a telecentric lens is installed parallel to the plane. The lens faces the ink outlet position of the nozzle to ensure that the camera field of view covers at least ten nozzle holes. The source lamp bead is installed facing the lens to ensure clear imaging. The board provides an IO signal to simultaneously trigger the nozzle to drip ink, the camera to take pictures, and the light source to light up, so as to obtain image data containing ink droplets.

3. The method for real-time monitoring of the nozzle status according to claim 2, characterized in that: In the image preprocessing step, the denoising process uses a wavelet transform algorithm, specifically: Performing wavelet decomposition on the image data to obtain sub-band coefficients of different frequencies; According to the frequency characteristics of the noise, the high-frequency sub-band coefficients are threshold processed to remove the high-frequency components caused by the noise; The denoised image data is obtained through wavelet reconstruction.

4. The method for real-time monitoring of the nozzle status according to claim 1, characterized in that: The image spacing for locating the center of gravity of the ink droplets uses a contour detection algorithm; the actual physical size of each pixel is calculated based on the physical spacing between the two nozzles of the nozzle using the principle of similar triangles.

5. The method for real-time monitoring of the nozzle status according to claim 4, characterized in that: The specific method for extracting the physical parameters of ink droplets is: The user uses the user interface interaction algorithm to select a single ink drop; Use contour analysis algorithm and shape feature calculation algorithm to fit the center of gravity coordinates, roundness and volume size according to the ink droplet contour; In this ink drop region, a grayscale analysis algorithm is used to extract the grayscale mean; The method for calculating the roundness of ink droplets is: According to the ink droplet profile, calculate its equivalent circle radius req; Calculate the circumference C and area S of the actual outline of the ink drop; The roundness of the ink drop is calculated using the formula: roundness = 4πS / C^2.

6. The method for real-time monitoring of the nozzle status according to claim 1, characterized in that: The calculation of the falling speed and trajectory of the ink droplet is: The user uses the user interface interaction algorithm to select the ink droplets that need to be tracked; The change of the center of gravity coordinates of the ink drop between two frames is calculated by the optical flow method to obtain the ink drop falling speed and the falling trajectory between each frame.

7. The method for real-time monitoring of the nozzle status according to claim 1, characterized in that: In the model building step, the process of optimizing the ink drop parameter model is as follows: Establish the relationship function between temperature, humidity and ink droplet parameters, obtain the ink droplet parameter data under different temperature and humidity conditions through experiments, and obtain the relationship function by fitting; According to the real-time collected ambient temperature and humidity data, the ink drop parameter model is modified by substituting them into the relationship function.

8. The method for real-time monitoring of the nozzle status according to claim 1, characterized in that: In the state evaluation step, the specific method of determining the type of nozzle failure is: When the physical size of ink droplets exceeds the normal range and the change trend is abnormal, combined with the nozzle working pressure data, determine whether the nozzle is blocked or the nozzle aperture is worn; If the coordinates of the center of gravity of the ink droplet are offset and the falling speed is unstable, check the installation position and drive device of the nozzle to determine whether there is an installation deviation or drive failure.

9. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the method for real-time monitoring of the status of a nozzle as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for real-time monitoring of the status of a nozzle according to any one of claims 1 to 8 are implemented.

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