Labeling machine paper feeding wheel pressure automatic adjusting method and device and storage medium

Abstract

The invention discloses a method for automatically adjusting the pressure of a paper feeding wheel of a labeling machine, related equipment and a storage medium, and relates to the technical field of labeling machine control, and the method comprises the steps: obtaining the zero returning time sequence of the paper feeding wheel and a paper measuring wheel, calculating the time difference of the average time of the paper feeding wheel and the paper measuring wheel, generating a pressure adjusting instruction according to the time difference, and dynamically adjusting the pressure of the paper feeding wheel. And when the time difference reaches a preset error threshold value, if the dynamic pressure reaches the maximum value and still does not meet the condition, an alarm is triggered, multiple pressure adjusting modes such as a linear motor, a stepping motor or an electromagnetic coil are adopted in the adjusting process, an adaptive learning algorithm is combined to optimize adjusting parameters, in addition, a material-pressure database is further established, and the adjustment accuracy is improved. The invention further relates to electronic equipment and a computer readable storage medium which are used for achieving the adjustment method, the technology can achieve automatic and accurate adjustment of the pressure of the paper feeding wheel, and the production efficiency and quality of the labeling machine are improved.

Description

Technical Field

[0001] The present invention relates to the field of label machine control technology, and more particularly to a method, device and storage medium for automatically adjusting the pressure of a paper feed wheel of a label machine. Background Art

[0002] In modern label production and processing, the paper feed accuracy of label machines has a crucial impact on production quality. Traditional label machines rely heavily on manual experience to adjust the pressure of the paper feed rollers. However, this approach has many drawbacks. First, manual adjustment makes it difficult to precisely control the pressure, resulting in unstable paper tension during the feed process, which can easily cause problems such as paper wrinkling, slipping, or tearing, seriously affecting label printing quality and subsequent processing steps. Second, different paper materials have significantly different pressure requirements, making manual adjustment difficult to quickly adapt to the characteristics of different consumables. Each consumable change requires readjustment, which is time-consuming and labor-intensive. Furthermore, in high-speed production environments, the response speed of manual adjustment far lags behind the machine's operating rhythm, making it impossible to correct pressure deviations in real time, further exacerbating quality issues. With the development of automation technology, although some semi-automated adjustment methods have emerged, most of these methods can only perform simple pressure increases and decreases, and cannot dynamically and accurately adjust according to the real-time paper feed status. They also lack effective feedback mechanisms and cannot provide timely warnings when pressure anomalies occur, resulting in frequent equipment failures and low production efficiency.

[0003] Therefore, the existing technology has the problem that manual pressure adjustment is inaccurate and slow to respond, and cannot adapt to different material consumables and high-speed production requirements, which can easily lead to quality problems and equipment failures. Summary of the Invention

[0004] In order to overcome the problems of the existing technology such as inaccurate manual pressure adjustment, slow response, inability to adapt to different material consumables and high-speed production requirements, and easy lead to quality problems and equipment failures, the present invention discloses a method, device and storage medium for automatic pressure adjustment of the paper feed roller of a labeling machine, which 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 automatically adjusting the pressure of a paper feed wheel of a labeling machine comprises the following steps:

[0007] Obtain the zeroing trigger signal of the paper feeding wheel and the paper measuring wheel, and obtain the zeroing time series of the two;

[0008] Performing dynamic averaging calculation on the zeroing time series of the paper feeding wheel and the paper measuring wheel to generate an average time of the paper feeding wheel and an average time of the paper measuring wheel;

[0009] Calculate the time difference between the average time of the paper feed wheel and the average time of the paper measurement wheel, and generate a pressure adjustment command based on the time difference;

[0010] According to the pressure adjustment command, control the paper feed wheel to apply a dynamic pressure towards the paper release wheel until the time difference reaches a preset error threshold;

[0011] When the dynamic pressure reaches the preset maximum pressure value and the time difference does not reach the preset error threshold, trigger an alarm signal.

[0012] Preferably, obtaining the zeroing time series includes:

[0013] Collect the rotation phase signals of the paper feed wheel and the paper measurement wheel through a photoelectric sensor;

[0014] Record the zeroing event when the phase signal is detected to reset to the initial position;

[0015] Statistically generate a time series of the time intervals of the zeroing events within a preset period.

[0016] Preferably, the pressure adjustment command includes:

[0017] When the average zeroing time of the paper feed wheel is less than that of the paper measurement wheel, increase the pressure value in a preset gradient;

[0018] When the average zeroing time of the paper feed wheel is greater than that of the paper measurement wheel, decrease the pressure value in a reverse gradient;

[0019] Recalculate the difference value after each adjustment until the shutdown condition is met.

[0020] Preferably, the triggering conditions of the alarm signal include:

[0021] It is detected that the number of pressure adjustment times exceeds the preset safety number threshold;

[0022] Or it is detected that the difference value continuously exceeds the tolerance range for more than the preset duration threshold;

[0023] Or it is detected that the rotational speed deviation between the paper feed wheel and the paper measurement wheel exceeds the maximum design tolerance of the equipment.

[0024] Preferably, the dynamic pressure application method includes:

[0025] Drive the pressure plate for axial displacement adjustment through a linear motor;

[0026] Or control the eccentric wheel mechanism through a stepping motor to change the pressure contact area;

[0027] Or adjust the magnetic adsorption intensity in real time through an electromagnetic coil.

[0028] Preferably, it further includes:

[0029] Establish a database of material-pressure correspondence relationships based on historical adjustment data;

[0030] When a newly installed consumable is detected, preferentially call the initial pressure value of similar materials in the database;

[0031] During the automatic adjustment process, synchronously update the optimal pressure parameters in the database.

[0032] Preferably, the paper detection wheel and the paper feeding wheel are coaxially installed, and the paper detection wheel is a passive wheel, and its surface friction coefficient is the same as that of the paper feeding wheel.

[0033] Preferably, the dynamic process adopts an adaptive learning algorithm:

[0034] Establish a non-linear mapping model between the pressure adjustment amount and the time difference value;

[0035] Adopt the gradient descent method to optimize the adjustment step size parameter;

[0036] Continuously correct the model weight coefficient through feedback data.

[0037] An electronic device, comprising: at least one processor; a memory storing executable instructions; wherein when the processor executes the instructions, the steps of the adjustment method as described above are implemented.

[0038] A computer-readable storage medium stores a computer program, and when the program is executed by a processor, the steps of the adjustment method as described above are implemented.

[0039] Compared with the prior art, the beneficial effects of the present invention are as follows: The traditional manual pressure adjustment method relies on the experience of operators, is difficult to accurately control, and easily leads to uneven pressure or deviation. By obtaining the zeroing time series of the paper feeding wheel and the paper measuring wheel and performing dynamic averaging operations, this solution can accurately calculate the average time difference between the two. The pressure adjustment instruction generated based on this time difference makes the pressure adjustment more accurate, thus avoiding label printing quality problems caused by inaccurate pressure, such as wrinkles and offsets. The manual pressure adjustment has a slow response speed and is difficult to meet the requirements of high-speed production. This solution uses a photoelectric sensor to collect phase signals in real time and quickly generates a time series after detecting a zeroing event. Once the time difference exceeds the preset threshold, the system immediately generates and executes a pressure adjustment instruction, accelerating the response speed and enabling timely pressure adjustment to ensure stable label output during high-speed production. Different materials of consumables have different pressure requirements, and it is difficult to adapt to manual adjustment. By establishing a material-pressure correspondence database, this solution can quickly call the initial pressure value of similar materials when detecting new consumables and continuously update the optimal parameters during subsequent adjustments. This adaptive adjustment method enables the label machine to automatically adjust the pressure according to different materials of consumables, improving the versatility and flexibility of the equipment and reducing quality problems caused by material changes. When manually adjusting the pressure, it is easy to cause the pressure to exceed the equipment's tolerance range due to improper operation, resulting in equipment failure. This solution sets multiple alarm conditions, such as when the dynamic pressure reaches the maximum value but the time difference still does not meet the standard, the number of pressure adjustments is too large, and the difference value continuously exceeds the tolerance range. Once the alarm is triggered, the operator can take timely measures to avoid equipment damage caused by abnormal pressure, extending the service life of the equipment and reducing the maintenance cost. The dynamic adjustment process of this solution uses an adaptive learning algorithm, which can continuously optimize the adjustment strategy according to the feedback data. By establishing a non-linear mapping model and optimizing the adjustment step size using the gradient descent method, the system will continuously correct the model weights according to the actual operation data, further improving the accuracy and stability of pressure adjustment. This adaptive optimization ability enables the label machine to better adapt to various changes in the production process and ensure long-term stable operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] 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 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 according to the provided drawings.

[0041] Figure 1 Schematic diagram of the pressure debugging of the paper feeding wheel of the present invention;

[0042] Figure 2 Method step diagram of the present invention. Detailed implementation manners

[0043] The accompanying drawings are only for illustrative purposes and should not be construed as limitations on this patent;

[0044] To better illustrate this embodiment, some components in the accompanying drawings are omitted, enlarged or reduced, and do not represent the dimensions of the actual product;

[0045] For those skilled in the art, it is understandable that some well-known structures and their descriptions in the accompanying drawings may be omitted.

[0046] The technical solutions of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0047] Embodiment

[0048] An automatic pressure adjustment method for the paper feeding wheel of a label printer, comprising the following steps:

[0049] Obtain the zeroing trigger signals of the paper feeding wheel and the paper measuring wheel, and obtain their zeroing time series;

[0050] Perform a dynamic averaging operation on the zeroing time series of the paper feeding wheel and the paper measuring wheel to generate the average time of the paper feeding wheel and the average time of the paper measuring wheel;

[0051] Calculate the time difference between the average time of the paper feeding wheel and the average time of the paper measuring wheel, and generate a pressure adjustment command based on the time difference;

[0052] According to the pressure adjustment command, control the paper feeding wheel to apply a dynamic pressure towards the paper discharging wheel until the time difference reaches a preset error threshold;

[0053] When the dynamic pressure reaches the preset maximum pressure value and the time difference does not reach the preset error threshold, trigger an alarm signal.

[0054] Obtaining the zeroing time series includes:

[0055] Collect the rotation phase signals of the paper feeding wheel and the paper measuring wheel through a photoelectric sensor;

[0056] Record the zeroing event when the phase signal is detected to reset to the initial position;

[0057] Statistically generate the time series of the zeroing event time intervals within a preset period.

[0058] The pressure adjustment command includes:

[0059] When the average zeroing time of the paper feeding wheel is less than that of the paper measuring wheel, increase the pressure value in a preset gradient;

[0060] When the average zeroing time of the paper feeding wheel is greater than that of the paper measuring wheel, decrease the pressure value in the reverse gradient;

[0061] Recalculate the difference value after each adjustment until the shutdown condition is met.

[0062] The triggering conditions of the alarm signal include:

[0063] It is detected that the number of pressure adjustments exceeds the preset safety number threshold;

[0064] Or it is detected that the difference value continuously exceeds the tolerance range for more than the preset duration threshold;

[0065] Or it is detected that the rotational speed deviation between the paper feeding wheel and the paper measuring wheel exceeds the maximum design tolerance of the device.

[0066] The dynamic pressure application method includes:

[0067] Drive the pressure plate to perform axial displacement adjustment through a linear motor;

[0068] Or control the eccentric wheel mechanism through a stepper motor to change the pressure contact area;

[0069] Or adjust the magnetic adsorption strength in real time through an electromagnetic coil.

[0070] It also includes:

[0071] Establish a material-pressure correspondence database based on historical adjustment data;

[0072] When a newly installed consumable is detected, preferentially call the initial pressure value of similar materials in the database;

[0073] Synchronously update the optimal pressure parameters in the database during the automatic adjustment process.

[0074] The paper measuring wheel and the paper feeding wheel are coaxially installed, and the paper measuring wheel is a passive wheel, and its surface friction coefficient is the same as that of the paper feeding wheel.

[0075] The dynamic process adopts an adaptive learning algorithm:

[0076] Establish a non-linear mapping model between the pressure adjustment amount and the time difference value;

[0077] Adopt the gradient descent method to optimize the adjustment step size parameter;

[0078] Continuously correct the model weight coefficient through feedback data.

[0079] An electronic device includes: at least one processor; a memory storing executable instructions; wherein when the processor executes the instructions, the steps of the adjustment method as described above are implemented.

[0080] A computer-readable storage medium stores a computer program, and when the program is executed by a processor, the steps of the adjustment method as described above are implemented.

[0081] Please refer to Figure 1-2 , between the paper feed wheel Y and the paper transport wheel X of the label printer, install a passive paper measurement wheel P with the same diameter as the paper transport wheel X, and the paper measurement wheel P is coaxially installed with the paper transport wheel X. The surface friction coefficients of both are set to 0.8. High-precision photoelectric sensors are installed on the Y-axis paper transport wheel and the paper measurement wheel P respectively as zeroing trigger devices to detect the rotation phase signals of the wheels. The pressure adjustment device of the paper transport wheel X uses a linear motor to drive the pressure plate for axial displacement adjustment, so as to change the pressure of the paper transport wheel X towards the paper feed wheel direction.

[0082] The electronic control main board integrates a high-performance processor, which is connected to a memory. The memory stores executable instructions for implementing the method of automatically adjusting the pressure of the paper transport wheel. The main board is also connected to each photoelectric sensor, linear motor, and a buzzer for alarming.

[0083] In a specific implementation, when the label printer is turned on and ready to print, the electronic control main board starts a data acquisition program, and the photoelectric sensors start to acquire the rotation phase signals of the paper transport wheel X and the paper measurement wheel P. Whenever the phase signal is detected to reset to the initial position (i.e., the wheel rotates one week and returns to the starting position), the time when the zeroing event occurs is recorded once.

[0084] Set the acquisition period to 30 seconds. Within these 30 seconds, continuously count the time intervals of the zeroing events to generate the zeroing time series of the paper transport wheel X and the paper measurement wheel P respectively. For example, within the first 30 seconds, the zeroing time intervals of the paper transport wheel X are 1.2 seconds, 1.15 seconds, 1.22 seconds... respectively, and the zeroing time intervals of the paper measurement wheel P are 1.3 seconds, 1.35 seconds, 1.28 seconds... respectively.

[0085] The electronic control main board performs a dynamic averaging operation on the zeroing time series of the paper transport wheel X and the paper measurement wheel P. Assume that after the operation, the average time of the paper transport wheel X is 1.2 seconds, and the average time of the paper measurement wheel P is 1.3 seconds. Calculate the time difference between the two as 0.1 second. The preset error threshold is 0.05 second. Since the current time difference is greater than the preset error threshold, the pressure adjustment process is triggered. Because the average zeroing time of the paper transport wheel is less than that of the paper measurement wheel, according to the adjustment rule, the electronic control main board sends an instruction to the linear motor to increase the pressure value of the paper transport wheel X towards the paper feed wheel direction in a preset gradient (increasing the pressure by 0.5N each time). The linear motor drives the axial displacement of the pressure plate to make the paper transport wheel X apply a greater pressure to the label paper.

[0086] After each pressure adjustment, the electronic control main board re-collects the zeroing time series of the paper feed wheel X and the paper measurement wheel P within 30 seconds, and recalculates the average time and the time difference. Suppose that after the first pressure adjustment, the average time of the paper feed wheel X becomes 1.22 seconds, the average time of the paper measurement wheel P remains 1.3 seconds, and the time difference becomes 0.08 seconds, which is still greater than the preset error threshold. The pressure is continuously increased according to the preset gradient in such a cycle until the time difference reaches within the preset error threshold range.

[0087] During the pressure adjustment process, the electronic control main board simultaneously monitors multiple alarm trigger conditions. For example, the preset safety number threshold is 20 times. When it is detected that the number of pressure adjustments exceeds 20 times, an alarm signal is triggered. Suppose that during the adjustment process, the number of pressure adjustments reaches 25 times, but the time difference still does not reach the preset error threshold. The main board immediately controls the buzzer to emit an alarm sound to prompt the operator to repair the equipment.

[0088] The preset duration threshold is 60 seconds. If it is detected that the time difference continuously exceeds the tolerance range for more than 60 seconds, an alarm will also be triggered. If it is detected that the rotational speed deviation between the paper feed wheel and the paper measurement wheel exceeds the maximum design tolerance of the equipment, such as 5%, an alarm will also be triggered.

[0089] During the long-term use of the label printer, the electronic control main board establishes a material-pressure correspondence relationship database based on historical adjustment data. For example, for common coated paper label consumables, the recorded optimal pressure value is 3N; for PET material labels, the optimal pressure value is 3.5N, etc.

[0090] When it is detected that new consumables are loaded, the electronic control main board first obtains some characteristic information of the consumables, such as thickness, surface roughness, etc., through sensors, and matches the data with the data in the database, and preferentially calls the initial pressure value of similar materials in the database. For example, if the characteristics of the newly loaded consumables are similar to those of coated paper labels, the initial pressure value of the paper feed wheel is set to 3N, and then automatic adjustment is carried out.

[0091] During the automatic adjustment process, if better pressure parameters are found, the electronic control main board synchronously updates the data in the database. Suppose that after adjusting the coated paper labels, it is found that a pressure of 3.2N can make the paper feeding effect better, and the pressure value corresponding to the coated paper labels in the database is updated to 3.2N.

[0092] The electronic control main board adopts an adaptive learning algorithm to optimize the pressure adjustment process. By establishing a non-linear mapping model between the pressure adjustment amount and the time difference value, it describes the complex relationship between the two. For example, the model can be expressed as: pressure adjustment amount = f(time difference value), where f is a non-linear function.

[0093] The gradient descent method is used to optimize and adjust the step size parameter. When adjusting the pressure each time, the optimal adjustment step size is calculated based on the current time difference value and the output of the model, making the adjustment process more efficient and accurate.

[0094] The model weight coefficients are continuously corrected through feedback data. As the adjustment process progresses, new time difference values and corresponding pressure adjustment effects are continuously fed back into the model, and the weight coefficients are recalculated to make the model more in line with the actual situation, further improving the accuracy and efficiency of the adjustment.

[0095] The same or similar reference numerals correspond to the same or similar components;

[0096] The terms used to describe the positional relationship in the drawings are for illustrative purposes only and should not be construed as a limitation of this patent;

[0097] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention and are not intended to limit the implementation manners of the present invention. For those of ordinary skill in the art, based on the above description, other different forms of changes or modifications can be made. 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 shall be included in the protection scope of the claims of the present invention.

Claims

1. An automatic pressure adjustment method for the paper feed wheel of a label printer, characterized in that, It includes the following steps: Obtain the zeroing trigger signals of the paper feed wheel and the paper detection wheel, and obtain their zeroing time series; Perform dynamic averaging operations on the zeroing time series of the paper feed wheel and the paper detection wheel to generate the average time of the paper feed wheel and the average time of the paper detection wheel; Calculate the time difference between the average time of the paper feed wheel and the average time of the paper detection wheel, and generate a pressure adjustment command based on the time difference; According to the pressure adjustment command, control the paper feed wheel to apply dynamic pressure towards the paper release wheel until the time difference reaches a preset error threshold; When the dynamic pressure reaches the preset maximum pressure value and the time difference does not reach the preset error threshold, trigger an alarm signal.

2. The adjustment method according to claim 1, wherein Obtaining the zeroing time series includes: Collect the rotation phase signals of the paper feed wheel and the paper detection wheel through a photoelectric sensor; Record the zeroing event when it is detected that the phase signal resets to the initial position; Statistically calculate the time intervals of the zeroing events within a preset period to generate a time series.

3. The adjustment method according to claim 2, characterized in that The pressure adjustment command includes: When the average zeroing time of the paper feed wheel is less than that of the paper detection wheel, increase the pressure value in a preset gradient; When the average zeroing time of the paper feed wheel is greater than that of the paper detection wheel, decrease the pressure value in the reverse gradient; Recalculate the difference value after each adjustment until the stop condition is met.

4. The adjustment method according to claim 3, characterized in that The triggering conditions of the alarm signal include: Detect that the number of pressure adjustments exceeds the preset safety number threshold; Or detect that the difference value continuously exceeds the tolerance range for more than the preset duration threshold; Or detect that the rotational speed deviation between the paper feed wheel and the paper detection wheel exceeds the maximum design tolerance of the device.

5. The adjustment method according to claim 1, characterized in that The dynamic pressure application methods include: Drive the pressure plate to perform axial displacement adjustment through a linear motor; Or control the eccentric wheel mechanism through a stepping motor to change the pressure contact area; Or adjust the magnetic adsorption intensity in real time through an electromagnetic coil.

6. The adjustment method according to claim 1, characterized in that, It also includes: Establish a material-pressure correspondence database based on historical adjustment data; When it is detected that new consumables are loaded, preferentially call the initial pressure value of similar materials in the database; Synchronously update the optimal pressure parameters in the database during the automatic adjustment process.

7. The adjustment method according to claim 1, characterized in that, The paper detection wheel and the paper feed wheel are coaxially installed, and the paper detection wheel is a passive wheel, and its surface friction coefficient is the same as that of the paper feed wheel.

8. The method according to claim 7, wherein The dynamic process adopts an adaptive learning algorithm: Establish a non-linear mapping model between the pressure adjustment amount and the time difference value; Adopt the gradient descent method to optimize the adjustment step size parameter; Continuously correct the model weight coefficient through feedback data.

9. An electronic device, characterized in that, It includes: At least one processor; A memory storing executable instructions; Wherein when the processor executes the instructions, it implements the steps of the adjustment method as described in any one of claims 1-8.

10. A computer-readable storage medium storing a computer program, characterized in that, When the program is executed by the processor, it implements the steps of the adjustment method as described in any one of claims 1-8.

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