Labeling machine paper wheel pressure automatic adjusting method, device and storage medium
By acquiring the zeroing time series of the label printer's paper feed rollers and measuring rollers and performing dynamic averaging calculations, combined with photoelectric sensors and adaptive learning algorithms, the problem of inaccurate manual pressure adjustment in traditional label printers has been solved. This enables stable operation of the label printer under different material consumables and high-speed production environments, reducing equipment failure and maintenance costs.
Patent Information
- Application Number
- CN202510467602.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-14
- Publication Date
- 2026-02-17
- Estimated Expiration
- 2045-04-14
AI Technical Summary
Traditional label printers rely on manual experience to adjust the paper feed roller pressure, which is difficult to control precisely. This leads to unstable paper tension, affecting print quality, and makes them unsuitable for different consumable materials and high-speed production needs, which can easily cause equipment failure.
By acquiring the zeroing time series of the paper feed roller and the measuring roller, dynamic averaging calculation is performed to generate pressure adjustment commands. Phase signals are collected in real time using photoelectric sensors to establish a material-pressure correspondence database. An adaptive learning algorithm is used to optimize the adjustment process and set multiple alarm conditions to achieve automated and precise adjustment.
It enables precise adjustment of the paper feed roller pressure of the label printer, ensuring stable printing quality, adapting to different consumable materials, improving production efficiency, reducing the risk of equipment failure, and extending the service life of the equipment.
Smart Images

Figure CN120387292B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of label machine control technology, and more specifically, to a method, device and storage medium for automatic adjustment of the pressure of the paper feed rollers of a label machine. Background Technology
[0002] In modern label production and processing, the paper feeding accuracy of label machines has a crucial impact on production quality. Traditional label machines mostly rely on manual experience to adjust the paper feeding roller pressure, which has many drawbacks. First, manual adjustment makes it difficult to precisely control the pressure, leading to unstable paper tension during paper feeding and problems such as paper wrinkling, slippage, or tearing, which seriously affects the printing quality of labels and subsequent processing steps. Second, different paper materials have different pressure requirements, and manual adjustment cannot quickly adapt to the characteristics of different consumables. Each time consumables are changed, readjustment is required, which is time-consuming and labor-intensive. In addition, in high-speed production environments, the response speed of manual adjustment is far behind the machine's operating rhythm, and it is impossible to correct pressure deviations in real time, further aggravating quality problems. With the development of automation technology, although some semi-automatic adjustment methods have emerged, these methods can mostly only perform simple pressure increases and decreases, and cannot make dynamic and precise adjustments based on the real-time paper feeding status. They also lack effective feedback mechanisms and cannot provide timely warnings when pressure is abnormal, resulting in frequent equipment failures and low production efficiency.
[0003] Therefore, existing technologies suffer from inaccurate manual pressure adjustment, slow response, inability to adapt to different materials and high-speed production requirements, and are prone to quality problems and equipment failures. Summary of the Invention
[0004] In order to overcome the problems of inaccurate manual pressure adjustment, slow response, inability to adapt to different materials and high-speed production requirements, and easy quality problems and equipment failures in the existing technology, this invention discloses an automatic pressure adjustment method, equipment and storage medium for label machine paper feed rollers, which can effectively solve the above-mentioned technical problems.
[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:
[0006] A method for automatically adjusting the pressure of the paper feed rollers in a label printer includes the following steps:
[0007] Acquire the zero-reset trigger signals of the paper feed roller and the measuring roller, and acquire the zero-reset time sequence of both.
[0008] The zeroing time series of the paper feed roller and the measuring roller are dynamically averaged to generate the average time of the paper feed roller and the average time of the measuring roller.
[0009] Calculate the time difference between the average time of the paper feed roller and the average time of the measuring roller, and generate a pressure adjustment command based on the time difference;
[0010] According to the pressure adjustment command, control the paper feeding roller to apply dynamic pressure in the direction of the paper feeding roller until the time difference reaches the preset error threshold;
[0011] An alarm signal is triggered when the dynamic pressure reaches the preset maximum pressure value and the time difference does not reach the preset error threshold.
[0012] Preferably, obtaining the zero-return time series includes:
[0013] The rotational phase signals of the paper feed roller and the measuring roller are collected by photoelectric sensors;
[0014] Record the zeroing event when the phase signal is detected to have reset to the initial position;
[0015] Generate a time series by statistically analyzing the time intervals between zeroing events within a preset period.
[0016] Preferably, the pressure regulation command includes:
[0017] When the average time for the paper feed roller to return to zero is less than that for the measuring paper roller, the pressure value is increased incrementally according to the preset gradient.
[0018] When the average time for the paper feed roller to return to zero is greater than that for the measuring paper roller, the pressure value is decreased in reverse gradient.
[0019] After each adjustment, the difference value is recalculated until the shutdown conditions are met.
[0020] Preferably, the triggering conditions for the alarm signal include:
[0021] The number of pressure adjustments exceeded the preset safety threshold.
[0022] Or, if the detected difference value continuously exceeds the tolerance range for more than a preset time threshold;
[0023] Or, it may be detected that the speed deviation between the paper feed roller and the measuring roller exceeds the maximum design tolerance of the equipment.
[0024] Preferably, the dynamic pressure application method includes:
[0025] Axial displacement is adjusted by driving the pressure plate with a linear motor.
[0026] Alternatively, the pressure contact area can be changed by controlling the eccentric wheel mechanism with a stepper motor;
[0027] Alternatively, the magnetic adsorption strength can be adjusted in real time using an electromagnetic coil.
[0028] Preferably, it further includes:
[0029] Establish a material-pressure correspondence database based on historical adjustment data;
[0030] When a new consumable is detected, the initial pressure value of a similar material in the database is called first.
[0031] The optimal pressure parameters in the database are updated synchronously during the automatic adjustment process.
[0032] Preferably, the measuring wheel and the paper feeding wheel are coaxially mounted, and the measuring wheel is a driven wheel with the same surface friction coefficient as the paper feeding wheel.
[0033] Preferably, the dynamic process is performed using an adaptive learning algorithm:
[0034] Establish a nonlinear mapping model between pressure regulation and time difference;
[0035] The gradient descent method is used to optimize the adjustment step size parameter;
[0036] The model weight coefficients are continuously adjusted based on feedback data.
[0037] An electronic device includes: at least one processor; a memory storing executable instructions; wherein the processor executes the instructions to implement the steps of the adjustment method as described above.
[0038] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the adjustment method described above.
[0039] Compared with existing technologies, the advantages of this invention are as follows: Traditional manual pressure adjustment relies on operator experience, making precise control difficult and prone to uneven pressure or deviation. This solution acquires the zeroing time series of the paper feed roller and the measuring roller and performs dynamic averaging calculations to accurately calculate the average time difference between the two. The pressure adjustment command generated based on this time difference makes pressure adjustment more precise, thereby avoiding label printing quality problems such as wrinkles and misalignment caused by inaccurate pressure. Manual pressure adjustment has a slow response speed, making it difficult to meet the needs of high-speed production. This solution uses photoelectric sensors to collect phase signals in real time and quickly generates a time series after detecting a zeroing event. Once the time difference exceeds a preset threshold, the system immediately generates and executes a pressure adjustment command, accelerating the response speed and enabling timely pressure adjustment to ensure stable label output during high-speed production. Different consumable materials have different pressure requirements, which are difficult to adapt to manually. This solution establishes a material-pressure correspondence database, which can quickly call the initial pressure value of similar materials when a new consumable is detected. The system continuously updates optimal parameters during subsequent adjustments. This adaptive adjustment method allows the label printer to automatically adjust pressure according to different consumable materials, improving the equipment's versatility and flexibility, and reducing quality problems caused by material variations. Manual pressure adjustment can easily lead to improper operation causing pressure to exceed the equipment's tolerance range, resulting in equipment failure. This solution sets multiple alarm conditions, such as dynamic pressure reaching its maximum value but the time difference still not meeting the standard, excessive pressure adjustments, and differences continuously exceeding the tolerance range. Once an alarm is triggered, operators can take timely measures to prevent equipment damage due to abnormal pressure, extending equipment lifespan and reducing maintenance costs. The dynamic adjustment process of this solution uses an adaptive learning algorithm, which continuously optimizes the adjustment strategy based on feedback data. By establishing a nonlinear mapping model and using gradient descent to optimize the adjustment step size, the system continuously corrects the model weights based on actual operating data, further improving the accuracy and stability of pressure adjustment. This adaptive optimization capability allows the label printer to better adapt to various changes in the production process, ensuring long-term stable operation. Attached Figure Description
[0040] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other embodiments can be derived from the provided drawings without creative effort.
[0041] Figure 1 This is a schematic diagram of the paper feed roller pressure adjustment of the present invention;
[0042] Figure 2 This is a diagram illustrating the steps of the method of the present invention. Detailed Implementation
[0043] The accompanying drawings are for illustrative purposes only and should not be construed as limiting the scope of this patent.
[0044] To better illustrate this embodiment, some parts in the accompanying drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions;
[0045] It will be understood by those skilled in the art that certain well-known structures and their descriptions may be omitted in the accompanying drawings.
[0046] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.
[0047] Example
[0048] A method for automatically adjusting the pressure of the paper feed rollers in a label printer includes the following steps:
[0049] Acquire the zero-reset trigger signals of the paper feed roller and the measuring roller, and acquire the zero-reset time sequence of both.
[0050] The zeroing time series of the paper feed roller and the measuring roller are dynamically averaged to generate the average time of the paper feed roller and the average time of the measuring roller.
[0051] Calculate the time difference between the average time of the paper feed roller and the average time of the measuring roller, and generate a pressure adjustment command based on the time difference;
[0052] According to the pressure adjustment command, control the paper feeding roller to apply dynamic pressure in the direction of the paper feeding roller until the time difference reaches the preset error threshold;
[0053] An alarm signal is triggered when the dynamic pressure reaches the preset maximum pressure value and the time difference does not reach the preset error threshold.
[0054] Obtaining the zero-return time series includes:
[0055] The rotational phase signals of the paper feed roller and the measuring roller are collected by photoelectric sensors;
[0056] Record the zeroing event when the phase signal is detected to have reset to the initial position;
[0057] Generate a time series by statistically analyzing the time intervals between zeroing events within a preset period.
[0058] The pressure regulation command includes:
[0059] When the average time for the paper feed roller to return to zero is less than that for the measuring paper roller, the pressure value is increased incrementally according to the preset gradient.
[0060] When the average time for the paper feed roller to return to zero is greater than that for the measuring paper roller, the pressure value is decreased in reverse gradient.
[0061] After each adjustment, the difference value is recalculated until the shutdown conditions are met.
[0062] The triggering conditions for the alarm signal include:
[0063] The number of pressure adjustments exceeded the preset safety threshold.
[0064] Or, if the detected difference value continuously exceeds the tolerance range for more than a preset time threshold;
[0065] Or, it may be detected that the speed deviation between the paper feed roller and the measuring roller exceeds the maximum design tolerance of the equipment.
[0066] The dynamic pressure application methods include:
[0067] Axial displacement is adjusted by driving the pressure plate with a linear motor.
[0068] Alternatively, the pressure contact area can be changed by controlling the eccentric wheel mechanism with a stepper motor;
[0069] Alternatively, the magnetic adsorption strength can be adjusted in real time using an electromagnetic coil.
[0070] Also includes:
[0071] Establish a material-pressure correspondence database based on historical adjustment data;
[0072] When a new consumable is detected, the initial pressure value of a similar material in the database is called first.
[0073] The optimal pressure parameters in the database are updated synchronously during the automatic adjustment process.
[0074] The measuring wheel and the paper feeding wheel are coaxially mounted, and the measuring wheel is a driven wheel with the same surface friction coefficient as the paper feeding wheel.
[0075] The dynamic process is achieved through an adaptive learning algorithm:
[0076] Establish a nonlinear mapping model between pressure regulation and time difference;
[0077] The gradient descent method is used to optimize the adjustment step size parameter;
[0078] The model weight coefficients are continuously adjusted based on feedback data.
[0079] An electronic device includes: at least one processor; a memory storing executable instructions; wherein the processor executes the instructions to implement the steps of the adjustment method as described above.
[0080] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the adjustment method described above.
[0081] Please see Figure 1-2 A passive measuring wheel P with the same diameter as the paper feeding wheel X is installed between the paper feeding wheel Y and the paper feeding wheel X of the label printer. The measuring wheel P and the paper feeding wheel X are coaxially mounted, and the surface friction coefficient of both is set to 0.8. High-precision photoelectric sensors are installed on the Y-axis paper feeding wheel and the measuring wheel P as zero-reset trigger devices to detect the rotation phase signal of the wheel. The pressure adjustment device of the paper feeding wheel X uses a linear motor to drive the pressure plate to adjust the axial displacement, thereby changing the pressure of the paper feeding wheel X in the direction of the paper feeding wheel.
[0082] The electronic control motherboard integrates a high-performance processor connected to a memory containing executable instructions for automatically adjusting the pressure of the paper feed rollers. The motherboard also connects to various photoelectric sensors, linear motors, and a buzzer for alarm purposes.
[0083] In practice, when the label printer is turned on and ready to print, the electronic control motherboard starts the data acquisition program, and the photoelectric sensor begins to collect the rotation phase signal of the paper feed roller X and the paper measuring roller P. Whenever the phase signal is detected to be reset to the initial position (i.e., the roller rotates one revolution and returns to the starting position), the time of the zeroing event is recorded.
[0084] The acquisition period is set to 30 seconds. Within these 30 seconds, the time interval of the zeroing event is continuously counted to generate the zeroing time sequence of the paper feed roller X and the measuring roller P respectively. For example, in the first 30 seconds, the zeroing time interval of the paper feed roller X is 1.2 seconds, 1.15 seconds, 1.22 seconds... and the zeroing time interval of the measuring roller P is 1.3 seconds, 1.35 seconds, 1.28 seconds...
[0085] The electronic control motherboard dynamically averages the zeroing time series of the paper feed roller X and the measuring roller P. Assuming the average time of the paper feed roller X is 1.2 seconds and the average time of the measuring roller P is 1.3 seconds, the time difference between the two is calculated to be 0.1 seconds, and the preset error threshold is 0.05 seconds. 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 feed roller is less than that of the measuring roller, according to the adjustment rules, the electronic control motherboard sends a command to the linear motor to increase the pressure value of the paper feed roller X in the direction of the paper release roller according to the preset gradient (increasing the pressure by 0.5N each time). The linear motor drives the pressure plate to move axially, so that the paper feed roller X applies greater pressure to the label paper.
[0086] After each pressure adjustment, the electronic control motherboard re-acquires the zeroing time sequence of the paper feed roller X and the measuring roller P within 30 seconds, and recalculates the average time and time difference. Assuming that after the first pressure adjustment, the average time of the paper feed roller X becomes 1.22 seconds, the average time of the measuring roller P remains 1.3 seconds, and the time difference becomes 0.08 seconds, which is still greater than the preset error threshold, the pressure continues to increase according to the preset gradient, and this cycle continues until the time difference reaches the preset error threshold range.
[0087] During pressure regulation, the electronic control motherboard simultaneously monitors multiple alarm triggering conditions. For example, the preset safety threshold is 20 times. When the number of pressure regulation times exceeds 20, an alarm signal is triggered. Suppose that the number of pressure regulation times reaches 25 during the regulation process, but the time difference still does not reach the preset error threshold, the motherboard immediately controls the buzzer to sound an alarm, prompting the operator to inspect the equipment.
[0088] The preset time threshold is 60 seconds. If the time difference is detected to exceed the tolerance range for more than 60 seconds, an alarm will also be triggered. If the speed deviation between the paper feed roller and the measuring roller is detected to exceed the maximum design tolerance of the equipment, such as 5%, an alarm will also be triggered.
[0089] During long-term use, the electronic control motherboard of the label printer establishes a database of material-pressure correspondence based on historical adjustment data. For example, for common coated paper label consumables, the corresponding optimal pressure value is recorded as 3N; for PET material labels, the optimal pressure value is 3.5N, etc.
[0090] When a new consumable is detected, the electronic control motherboard first obtains some characteristic information of the consumable through sensors, such as thickness and surface roughness, and matches it with data in the database. It prioritizes calling the initial pressure value of similar materials in the database. For example, if the characteristics of the newly loaded consumable are similar to those of coated paper labels, the initial pressure value of the paper feed roller is set to 3N, and then automatic adjustment is performed.
[0091] During the automatic adjustment process, if a better pressure parameter is found, the electronic control motherboard will synchronously update the data in the database. For example, if after adjusting the coated paper label, it is found that a pressure of 3.2N can improve the paper feeding effect, the pressure value corresponding to the coated paper label in the database will be updated to 3.2N.
[0092] The electronic control motherboard uses an adaptive learning algorithm to optimize the pressure regulation process. It establishes a nonlinear mapping model between the pressure regulation amount and the time difference value to describe the complex relationship between the two. For example, the model can be expressed as: pressure regulation amount = f (time difference value), where f is a nonlinear function.
[0093] The gradient descent method is used to optimize the adjustment 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 model output, making the adjustment process more efficient and accurate.
[0094] By continuously refining the model weight coefficients through feedback data, and continuously feeding new time difference values and corresponding pressure adjustment effects into the model as the adjustment process progresses, the weight coefficients are recalculated to make the model more closely reflect the actual situation, thereby further improving the accuracy and efficiency of the adjustment.
[0095] The same or similar labels correspond to the same or similar parts;
[0096] The terms used to describe positional relationships in the accompanying drawings are for illustrative purposes only and should not be construed as limiting 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 of the present invention. For those skilled in the art, other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all implementation methods here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the claims of the present invention.
Claims
1. A method for automatically adjusting the pressure of a paper wheel of a labeler, characterized in that, The method comprises the following steps: obtaining the zero-return trigger signals of the paper feed wheel and the paper measuring wheel, and obtaining the zero-return time sequences of the two wheels; performing dynamic average operation on the zero-return time sequences of the paper feed wheel and the paper measuring wheel to generate the average time of the paper feed wheel and the average time of the paper measuring wheel; calculating the time difference between the average time of the paper feed wheel and the average time of the paper measuring wheel, and generating a pressure adjustment instruction based on the time difference; controlling the paper feed wheel to apply a dynamic pressure to the paper feed direction according to the pressure adjustment instruction until the time difference reaches a preset error threshold; triggering an alarm signal when the dynamic pressure reaches a preset maximum pressure value and the time difference does not reach the preset error threshold; The dynamic pressure application mode includes: adjusting the axial displacement of the pressure plate by a linear motor; or changing the pressure contact area by a stepper motor controlled eccentric wheel mechanism; or adjusting the magnetic attraction strength in real time by an electromagnetic coil; The pressure adjustment instruction includes: when the average zero-return time of the paper feed wheel is less than that of the paper measuring wheel, increasing the pressure value at a preset gradient; when the average zero-return time of the paper feed wheel is greater than that of the paper measuring wheel, decreasing the pressure value at a reverse gradient; recalculating the difference value after each adjustment until the stop condition is met.
2. The conditioning method of claim 1, wherein, Further comprising: establishing a material-pressure correspondence database according to historical adjustment data; when a new consumable is detected, preferentially calling the initial pressure value of similar materials in the database; updating the optimal pressure parameters in the database synchronously during automatic adjustment.
3. The conditioning method of claim 1, wherein, The zero-return time sequence acquisition includes: collecting the rotation phase signals of the paper feed wheel and the paper measuring wheel by photoelectric sensors; recording the zero-return event when detecting that the phase signal resets to the initial position; generating a time sequence by counting the zero-return event time intervals within a preset period.
4. The conditioning method of claim 1, wherein, The triggering conditions of the alarm signal include: detecting that the number of pressure adjustments exceeds a preset safety number threshold; or detecting that the difference value continuously exceeds the tolerance range for more than a preset time threshold; or detecting that the speed deviation of the paper feed wheel and the paper measuring wheel exceeds the maximum design tolerance of the equipment.
5. The conditioning method of claim 1, wherein, The paper measuring wheel and the paper feed wheel are coaxially installed, and the paper measuring wheel is a passive wheel with a surface friction coefficient consistent with that of the paper feed wheel.
6. The conditioning method of claim 1, wherein, The adjustment process of the dynamic pressure uses an adaptive learning algorithm: establishing a nonlinear mapping model of the pressure adjustment amount and the time difference value; using gradient descent method to optimize the adjustment step parameter; continuously correcting the model weight coefficient through feedback data.
7. An electronic device, comprising: It includes: at least one processor; a memory storing executable instructions; wherein the processor executes the instructions to implement the steps of the adjustment method of any one of claims 1-6.
8. A computer readable storage medium storing a computer program, characterized in that, The program is executed by the processor to implement the steps of the adjustment method of any one of claims 1-6.
Citation Information
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