Laser printer paper jam prevention intelligent calibration method, system and terminal

Abstract

The present application relates to the field of laser printer technology, and in particular to a laser printer anti-paper jam intelligent calibration method, system and terminal, the method comprising: page end position monitoring, based on an optical sensor scanning the end position of each page of paper during continuous printing, to determine the real-time status of the current page spacing; wherein the scanning range covers the key area of ​​the paper conveying path; page spacing anomaly detection, based on comparing the current page spacing with a preset safety threshold, to determine whether there is a risk of paper stacking; when the current page spacing is less than the preset safety threshold, triggering the generation of an emergency stop signal; emergency stop pulse insertion, based on the time point of the emergency stop signal generation, inserting an emergency stop pulse in the paper conveying control logic to adjust the conveying speed of the next page of paper. The present application can improve printing efficiency, reduce the probability of paper jams, and enhance printing stability, while not requiring the addition of complex hardware structures, adapting to existing equipment, and having high practicality and economy.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent control of printing equipment, and in particular relates to an intelligent calibration method, system and terminal for preventing paper jams in laser printers. Background Art

[0002] The widespread adoption of laser printing technology has made laser printers an indispensable device in office and production environments. However, in actual use, paper jams remain a significant factor affecting printing efficiency and device stability. The frequency of paper jams increases significantly when paper becomes damp and deformed, or when waste paper contains foreign objects such as staples and paper clips. Therefore, effectively preventing and resolving paper jams has become a key research topic in laser printer technology.

[0003] A search revealed a laser printer paper jam prevention method that irons the paper during the paper feeding process, resolving paper jams caused by moisture and deformation. Specifically, the method uses an ironing board to apply pressure and iron the paper, thereby reducing the possibility of paper deformation and improving paper feeding smoothness.

[0004] Another anti-jam method for laser printers uses a heated roller and a pressure roller to automatically remove staples or paper clips from waste paper, thereby reducing paper jams caused by foreign matter. Specifically, it uses a temperature sensor to detect the temperature of the waste paper and removes foreign matter by heating and crushing it.

[0005] The above issues indicate that existing anti-paper jam technologies still have room for improvement in terms of comprehensiveness, adaptability, and intelligence. For example, existing technologies fail to comprehensively consider the coordinated optimization of paper status and foreign object removal, and lack the ability to intelligently identify and dynamically calibrate multiple paper jam triggers. Summary of the Invention

[0006] The first object of the present invention is to provide an intelligent calibration method for preventing paper jams in laser printers, which has the characteristics of improving printing efficiency and reducing the risk of paper jams.

[0007] The above-mentioned first object of the present invention is achieved through the following technical solutions: a laser printer anti-paper jam intelligent calibration method, including: page end position monitoring, scanning the tail position of each page of paper during continuous printing, and determining the real-time status of the current page spacing; wherein, the scanning range covers the key area of ​​the paper conveying path; page spacing abnormality detection, based on the comparison of the current page spacing with the preset safety threshold, judging whether there is a risk of paper stacking; when the current page spacing is less than the preset safety threshold, triggering the generation of an emergency stop signal; emergency stop pulse insertion, based on the time point of the emergency stop signal generation, inserting an emergency stop pulse in the paper conveying control logic to adjust the conveying speed of the subsequent page of paper.

[0008] By employing this technical solution, real-time monitoring of the paper's trailing edge allows for precise tracking of dynamic changes in the interpage gap. When the interpage gap falls below a safe threshold, an emergency stop pulse quickly intervenes, slowing the advancement of the following page and preventing stacking interference caused by the following page pushing the preceding one. This method significantly improves the stability and efficiency of the printing process by integrating intelligent algorithms with existing hardware without requiring additional complex mechanical structures.

[0009] Optionally, the specific method for monitoring the end-of-page position includes: determining a set of sampling points for the end position of each page of paper based on a scanning frequency setting; wherein the set of sampling points includes a plurality of position data points distributed along the paper conveying direction; constructing an end-of-page position curve based on the set of sampling points; wherein the end-of-page position curve is used to reflect the real-time position change of the end of the paper during the conveying process; determining the real-time status of the current page spacing based on the end-of-page position curve; wherein the current page spacing is the distance between the end position of the previous page of paper and the beginning position of the next page of paper.

[0010] By employing this technical solution, we collect data on the position of the end of a sheet of paper at a fixed frequency, forming a set of sampling points. By performing curve fitting on this set of sampling points, we can generate a smooth end-of-page position curve, accurately reflecting the real-time position changes of the end of the paper. Based on this end-of-page position curve, we can accurately calculate the distance between adjacent pages, providing reliable data support for subsequent risk assessment of paper stacking.

[0011] Optionally, before the page spacing anomaly detection, it also includes: paper stacking risk prediction, analyzing the changing trend of the current page spacing based on the LSTM model, and predicting the probability of paper stacking risk within the next N pages; page spacing compensation is started, and the subsequent page spacing is dynamically adjusted based on whether the paper stacking risk probability exceeds a preset threshold.

[0012] By adopting the above technical solution, the LSTM model can predict possible paper stacking risks in the future by analyzing historical page spacing data, and activate the page spacing compensation mechanism in advance, thereby effectively reducing the occurrence of paper jams.

[0013] Optionally, the specific method for predicting paper stacking risk includes: determining a characteristic vector of the page spacing change trend based on input feature selection of the LSTM model; wherein the characteristic vector includes the current page spacing, the historical page spacing change rate and the paper conveying speed; training the LSTM model based on the characteristic vector to obtain a paper stacking risk prediction model; wherein the paper stacking risk prediction model outputs the probability of paper stacking risk within the next N pages.

[0014] By adopting the above technical solution, the LSTM model can accurately predict the possible paper stacking risks in the future by learning the multi-dimensional features of the page spacing change trend.

[0015] Optionally, the specific method for starting the page spacing compensation includes: setting a dynamic compensation threshold based on the paper stacking risk probability; wherein the dynamic compensation threshold gradually decreases as the paper stacking risk probability decreases; based on the dynamic compensation threshold, determining a target value for page spacing compensation; wherein the target value is the sum of the dynamic compensation threshold and the current page spacing; based on the target value, adjusting the speed curve of the paper conveying motor; wherein the adjustment amplitude of the speed curve is proportional to the target value; based on the adjusted speed curve, recalculating the page spacing until the target value is reached.

[0016] By implementing this technical solution, the target value for interpage compensation is dynamically adjusted based on the probability of stacking risk, ensuring targeted and flexible compensation. By adjusting the paper feed motor's speed curve, the interpage gap is gradually increased to the target value, avoiding a decrease in printing efficiency due to excessive compensation or a residual risk of paper jams due to insufficient compensation. The introduction of a dynamic compensation threshold allows the system to flexibly adjust the interpage compensation strategy based on changes in the probability of stacking risk, thereby minimizing the risk of paper jams while maintaining printing efficiency.

[0017] Optionally, the specific method for predicting paper stacking risk further includes: updating weight parameters of the LSTM model based on historical data of the feature vector; and recalculating the paper stacking risk probability based on the updated weight parameters.

[0018] By adopting the above technical solution, introducing historical data of feature vectors and using them to update the weight parameters of the LSTM model, the prediction accuracy of the LSTM model can be greatly improved.

[0019] Optionally, the specific method of inserting the emergency stop pulse includes: determining the insertion position of the emergency stop pulse based on the time point when the emergency stop signal is generated; wherein, the duration of the emergency stop pulse is 5 milliseconds, and the insertion position is located at the starting point of the next cycle of the paper conveying control logic; based on the insertion position of the emergency stop pulse, adjusting the speed curve of the paper conveying motor; wherein, the adjustment range of the speed curve is limited to within 60% of the maximum speed of the motor to avoid mechanical shock caused by emergency stop.

[0020] By employing this technical solution, the precise placement and duration of the emergency stop pulses are designed to ensure rapid adjustments to paper feed speed without disrupting the overall printing process. By limiting the speed curve's adjustment range, excessive mechanical shock to the equipment caused by emergency stops is avoided while ensuring smooth paper feed.

[0021] Optionally, the specific method for determining the insertion position of the emergency stop pulse also includes: determining the priority of the emergency stop pulse based on the time point when the emergency stop signal is generated; wherein, the priority is dynamically adjusted according to the degree to which the current page spacing is lower than the preset safety threshold; and adjusting the insertion position of the emergency stop pulse based on the priority.

[0022] By adopting the above technical solutions, the introduction of a priority mechanism can ensure that high-risk events are handled first, and insertion point adjustments (such as advance or delay) can optimize system response efficiency.

[0023] The second object of the present invention is to provide an intelligent calibration system for preventing paper jams in laser printers, which has the characteristics of improving printing efficiency and reducing the risk of paper jams.

[0024] The second object of the present invention is achieved through the following technical solutions: a laser printer anti-paper jam intelligent calibration system, comprising: a page end position monitoring module, used to scan the tail position of each page of paper during continuous printing to determine the real-time status of the current page spacing; wherein the scanning range covers the key area of ​​the paper conveying path; a page spacing abnormality detection module, used to compare the current page spacing with a preset safety threshold to determine whether there is a risk of paper stacking; when the current page spacing is less than the preset safety threshold, an emergency stop signal is triggered to be generated; an emergency stop pulse insertion module, used to insert an emergency stop pulse in the paper conveying control logic based on the time point of the emergency stop signal generation to adjust the conveying speed of the subsequent page of paper.

[0025] The third object of the present invention is to provide an intelligent terminal that has the characteristics of improving printing efficiency and reducing the risk of paper jams.

[0026] The third object of the present invention is achieved through the following technical solution: an intelligent terminal, including a memory and a processor, the memory storing a computer program that can be loaded by the processor and execute the above-mentioned laser printer anti-paper jam intelligent calibration method. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of the calibration method in the embodiment of this application.

[0028] Figure 2 This is a block diagram of the calibration system in an embodiment of the present application. DETAILED DESCRIPTION

[0029] This embodiment provides a specific implementation of a laser printer anti-paper jam intelligent calibration method, system and terminal. Figure 1 The calibration method flow chart and attached Figure 2 The calibration system block diagram shown is used to describe the specific implementation of this embodiment in detail.

[0030] like Figure 1 As shown, the present application provides an intelligent calibration method for preventing paper jams in laser printers, including: page end position monitoring, scanning the tail position of each page of paper during continuous printing, and determining the real-time status of the current page spacing; wherein the scanning range covers the key area of ​​the paper conveying path; page spacing anomaly detection, based on comparing the current page spacing with a preset safety threshold, judging whether there is a risk of paper stacking; when the current page spacing is less than the preset safety threshold, triggering the generation of an emergency stop signal; emergency stop pulse insertion, based on the time point of the emergency stop signal generation, inserting an emergency stop pulse in the paper conveying control logic to adjust the conveying speed of the subsequent page of paper.

[0031] It is understandable that, in actual applications, the paper conveying path of a laser printer is usually completed by the cooperation of multiple mechanical components, including key areas such as a paper feeding device, a conveying roller, and a paper outlet.

[0032] In order to realize the intelligent calibration function of anti-paper jam, this embodiment can collect the position data of the tail of the paper by reusing the optical sensor in the existing hardware module. The optical sensor uses the principle of reflected light or transmitted light to capture the position of the tail of the paper; in other embodiments of the present application, the sensor can also adopt infrared, laser or CCD type, and the scanning frequency can be adjusted (such as 50-200Hz) to adapt to different paper materials (such as plain paper or glossy paper). The real-time status of the current page spacing reflects the change in the gap between the papers. The page spacing anomaly detection is based on the physical mechanism that a small gap may cause paper stacking. The preset safety threshold can be dynamically adjusted according to environmental factors (such as humidity or temperature) rather than a fixed value to enhance adaptability. The emergency stop pulse buffers the conveying speed by briefly interrupting the motor drive. The emergency stop pulse can also be integrated into the closed-loop control system and combined with the feedback mechanism (such as encoder signal) to achieve more accurate speed adjustment.

[0033] In one embodiment of the present application, a laser printer is equipped with an infrared optical sensor that scans key areas of the paper conveying path (e.g., an area approximately 50 mm wide at the roller exit) at a frequency of 100 Hz. The scanned data is used to determine the current page spacing: for example, the position of the tail of the previous page is X = 150 mm (from the reference point), and the position of the head of the next page is calculated based on the paper length (standard A4 paper is 297 mm), and the current page spacing is 5.5 mm. The preset safety threshold is set to 5 mm; when it is detected that the page spacing drops to 4.8 mm, a stacking risk signal is triggered. After the emergency stop signal is generated, a 5 ms emergency stop pulse is inserted at the start point of the next cycle of the control logic (e.g., the system clock cycle is 1 ms). The pulse causes the conveying motor speed to drop instantly from the normal value of 1200 rpm to 960 rpm (adjustment range of 20%), thereby increasing the page spacing to a safe range.

[0034] It can be understood that in the embodiment of the present application, the specific method of monitoring the end-of-page position includes: determining a set of sampling points for the end position of each page of paper based on a scanning frequency setting; wherein, the sampling point set includes a plurality of position data points distributed along the paper conveying direction, and the scanning frequency can be adaptively adjusted according to the paper speed (such as 50 Hz at low speed and 200 Hz at high speed) to optimize the data density; constructing an end-of-page position curve based on the sampling point set; wherein, the end-of-page position curve is used to reflect the real-time position change of the end of the paper during the conveying process, and the construction of the end-of-page position curve can adopt different algorithms (such as sliding window averaging or Kalman filtering) to enhance the noise suppression capability; determining the real-time state of the current page spacing based on the end-of-page position curve; wherein, the current page spacing is the distance between the end position of the previous page of paper and the beginning position of the next page of paper; the beginning position of the next page of paper is obtained by calculating the end position of the next page of paper and the paper length. Of course, the beginning position of the next page of paper can also be directly measured by a sensor or the paper size is queried from a database, rather than relying solely on calculation.

[0035] In one embodiment of the present application, the optical sensor scans at a constant 120Hz frequency, collecting 15 position data points (at 2mm intervals) along the paper feed direction (Y-axis). The sampling point set is input into the processor, and a linear interpolation algorithm is used to construct a page end position curve (for example, the curve equation is fitted as Y = 0.5T + 0.1T², where T is time). Based on the page end position curve, the current page spacing is calculated as: the position of the end of the previous page Y1 = 200mm, the position of the end of the next page Y2 = 502mm (paper length 297mm), so the position of the beginning of the next page = Y2 - 297mm = 205mm, and the current page spacing = 205mm - 200mm = 5.0mm. This process is completed within each scanning cycle (8.3ms), ensuring real-time status updates.

[0036] In an embodiment of the present application, before the page spacing anomaly detection, it also includes: paper stacking risk prediction, analyzing the changing trend of the current page spacing based on the LSTM model (long short-term memory network model), and predicting the paper stacking risk probability within the next N pages, wherein the N value is configurable (such as 3-10 pages) to adapt to different printing task lengths; page spacing compensation is started, and the subsequent page spacing is dynamically adjusted based on whether the paper stacking risk probability exceeds a preset threshold, wherein the preset threshold can be based on learning and optimization of historical fault data rather than manual preset.

[0037] It can be understood that the LSTM model processes time series data (changes in page spacing over a time series), capturing long-term dependencies to predict risks. The compensation mechanism proactively prevents paper jams by adjusting conveying parameters rather than passively responding. In addition, the compensation mechanism can also combine with other sensors (such as tension sensors) to provide multi-source input.

[0038] In one embodiment of the present application, an LSTM model inputs the current page spacing sequence (e.g., the most recent 10 pages of data) and analyzes the trend (e.g., average rate of change -0.2mm / page). The LSTM model outputs the stacking risk probability for the next five pages. If the probability exceeds a preset threshold of 0.6 (indicating high risk), page spacing compensation is initiated. For example, if the current page spacing is 3.0mm and the risk probability is 0.8, the compensation mechanism dynamically adjusts the subsequent page spacing to 5.0mm.

[0039] In an embodiment of the present application, a specific method for predicting paper stacking risk includes: selecting input features based on an LSTM model to determine a feature vector representing the trend of page spacing changes; wherein the feature vector includes the current page spacing, the historical rate of change of page spacing, and the paper feed speed. In other embodiments of the present application, the feature vector may also include environmental variables (such as temperature or humidity); training the LSTM model based on the feature vector to obtain a paper stacking risk prediction model; wherein the paper stacking risk prediction model outputs the probability of paper stacking risk within the next N pages. The structure of the LSTM model can be set to be adjustable (such as the number of layers or neurons) to accommodate different computing resources. It is understood that the training data can come from simulated or actual printer logs, and cross-validation is used to prevent overfitting.

[0040] In an embodiment of the present application, a specific method for activating interpage compensation includes: setting a dynamic compensation threshold based on the stacking risk probability; wherein the dynamic compensation threshold gradually decreases as the stacking risk probability decreases, and the dynamic compensation threshold function can be designed to have a linear or exponential decay (e.g., dynamic compensation threshold = maximum dynamic compensation threshold × stacking risk probability); determining a target value for interpage compensation based on the dynamic compensation threshold; wherein the target value is the sum of the dynamic compensation threshold and the current interpage compensation; adjusting the speed curve of the paper feed motor based on the target value; wherein the adjustment amplitude of the speed curve is proportional to the target value, and the speed curve adjustment can include a ramp or step change to reduce mechanical shock; and recalculating the interpage compensation based on the adjusted speed curve until the target value is reached. It will be understood that the dynamic compensation threshold ensures that the compensation strength matches the risk level, and the target value guides closed-loop control, recalculating the interpage compensation to achieve convergence.

[0041] In an embodiment of the present application, the specific method for predicting stacking risk further includes: updating the weight parameters of the LSTM model based on the historical data of the feature vector; and recalculating the stacking risk probability based on the updated weight parameters. The weight parameter updates enable online model learning, adapting to printer degradation or paper changes. The update cycle can be periodic (e.g., every 50 or 100 pages) or triggered by an event (e.g., when a prediction error is detected).

[0042] In an embodiment of the present application, a specific method for inserting an emergency stop pulse includes: determining an insertion position of the emergency stop pulse based on the time point when the emergency stop signal is generated; wherein, the duration of the emergency stop pulse is 5 milliseconds, and the insertion position is located at the starting point of the next cycle of the paper conveying control logic, wherein, the duration can also be set to be adjustable (for example, 3-10ms) to adapt to different printer models, and the insertion position can be offset to the midpoint of the cycle to optimize real-time performance; based on the insertion position of the emergency stop pulse, adjusting the speed curve of the paper conveying motor; wherein, the adjustment range of the speed curve is limited to within 60% of the maximum speed of the motor.

[0043] In one embodiment of the present application, the emergency stop signal is generated at time T = 100ms, the control logic cycle is 2ms, and the insertion position is T = 102ms (the start of the next cycle). The emergency stop pulse lasts for 5ms (until T = 107ms). Based on this, the speed curve is adjusted: the normal motor speed of 1200rpm is reduced to 960rpm (a 20% reduction).

[0044] In an embodiment of the present application, a specific method for determining the insertion position of the emergency stop pulse further includes: determining a priority of the emergency stop pulse based on the time at which the emergency stop signal is generated; wherein the priority is dynamically adjusted according to the extent to which the current page spacing is below a preset safety threshold; and adjusting the insertion position of the emergency stop pulse based on the priority. A priority mechanism ensures that high-risk events are handled first. Priorities can be graded (e.g., high / medium / low) and correspond to different insertion offsets (e.g., 1-3 cycles in advance). For example, priority = (safety threshold - current page spacing) / safety threshold. A larger value indicates a higher priority, and insertion is preferred earlier.

[0045] In one embodiment of the present application, assuming the preset safety threshold is 5.0mm, the current page spacing is 4mm, the deviation degree = (5.0 - 4) / 5.0 = 0.2, and the priority is set to 0.2 (medium). The control cycle is 2ms, and the normal insertion point is the starting point of the next cycle (for example, T = 102ms). Based on the priority, the insertion position is advanced by 0.2 cycles to T = 101.6ms.

[0046] like Figure 2As shown, the present application also provides a laser printer anti-paper jam intelligent calibration system, including: a page end position monitoring module 1, used to scan the tail position of each page of paper during continuous printing to determine the real-time status of the current page spacing; wherein the scanning range covers the key area of ​​the paper conveying path; a page spacing anomaly detection module 2, used to compare the current page spacing with a preset safety threshold to determine whether there is a risk of paper stacking; when the current page spacing is less than the preset safety threshold, an emergency stop signal is triggered; an emergency stop pulse insertion module 3, used to insert an emergency stop pulse in the paper conveying control logic based on the time point of the emergency stop signal generation to adjust the conveying speed of the subsequent page of paper.

[0047] Specifically, the end-of-page position monitoring module 1 is located in a key area of ​​the paper conveyance path, and its scanning range covers the entire paper conveyance process, from paper feed to paper exit. This module can reuse the optical sensor in the printer to sample the position of the paper end at a fixed frequency, forming multiple position data points distributed along the paper conveyance direction. These data points are further processed into a set of sampling points, and based on this, an end-of-page position curve is constructed. The end-of-page position curve can reflect the real-time position changes of the paper end during conveyance, providing data support for the subsequent calculation of the distance between adjacent pages. The collaborative relationship between the above modules determines the overall operating mechanism of this embodiment. During actual printing, the scanning resolution of the optical sensor must be set to match the paper conveyance speed to ensure that sufficient data points are obtained for fitting the end-of-page position curve even in high-speed printing scenarios. For example, when the paper conveyance speed is high, the density of the sampling point set is correspondingly increased to ensure that the fitting accuracy meets the requirements. The fitting accuracy is evaluated using the mean square error metric. If the fitting accuracy does not meet the standard, the end-of-page position monitoring module 1 will dynamically adjust the scanning frequency of the optical sensor. The adjustment range of the scanning frequency is limited to 100 Hz to 500 Hz to balance data acquisition efficiency and hardware resource consumption.

[0048] Page Gap Anomaly Detection Module 2 compares the calculated current page spacing with a preset safety threshold to determine whether there is a risk of paper stacking. If the current page spacing is less than the preset safety threshold, Page Gap Anomaly Detection Module 2 generates an emergency stop signal and transmits it to Emergency Stop Pulse Insertion Module 3. Based on the time the received emergency stop signal is generated, Emergency Stop Pulse Insertion Module 3 inserts a 5-millisecond emergency stop pulse into the paper feed control logic. The emergency stop pulse is inserted at the start of the next cycle of the paper feed control logic, intervening in the subsequent paper feed speed by adjusting the paper feed motor speed curve. The emergency stop pulse insertion position must ensure that the paper feed speed can be quickly adjusted without affecting the overall printing process. For example, if the emergency stop signal is generated at the 100th millisecond, Emergency Stop Pulse Insertion Module 3 inserts an emergency stop pulse at the 105th millisecond and adjusts the paper feed motor speed curve. This adjusted speed curve reduces the speed of the subsequent page, thereby avoiding paper stacking interference caused by the subsequent page pushing the previous page.

[0049] In addition, this embodiment also relates to an intelligent terminal, comprising a memory and a processor. The memory stores a computer program that can be loaded by the processor and execute the aforementioned intelligent calibration method for preventing paper jams in laser printers. The intelligent terminal communicates with the laser printer's control system to achieve coordinated control of the aforementioned modules. For example, the intelligent terminal can receive paper tail position data collected by an optical sensor wirelessly or wiredly and transmit it to the end-of-page position monitoring module 1 for processing. At the same time, the intelligent terminal can also dynamically adjust the page spacing compensation strategy based on the output results of the paper stacking risk prediction, thereby further improving the stability and efficiency of the printing process.

[0050] In actual application scenarios, the technical solution of this embodiment can significantly reduce the paper jam phenomenon that occurs during the continuous printing process of a laser printer. For example, in a certain corporate office environment, a laser printer needs to process thousands of pages of documents every day. Due to the large amount of printing tasks and the uneven quality of paper, traditional printing equipment is prone to paper stacking problems due to insufficient page spacing. By applying the technical solution of this embodiment, the company has achieved real-time monitoring and dynamic adjustment of page spacing during continuous printing, reducing the frequency of paper jams by more than 90%, and significantly improving printing efficiency. At the same time, since this embodiment does not require the addition of complex mechanical structures, the anti-paper jam function can be achieved only through the combination of intelligent algorithms and existing hardware, so it has high economy and practicality.

[0051] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0052] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0053] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0054] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0055] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk, or an optical disk.

[0056] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise specified, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise specified, each feature is merely an example of a series of equivalent or similar features.

Claims

1. A laser printer anti-paper jam intelligent calibration method, characterized in that: include: End-of-page position monitoring: Scans the end of each page during continuous printing to determine the real-time status of the current page spacing; the scanning range covers the key areas of the paper conveyance path; Page spacing anomaly detection, based on the comparison of the current page spacing with the preset safety threshold, determines whether there is a risk of paper stacking; when the current page spacing is less than the preset safety threshold, triggers the generation of an emergency stop signal; Emergency stop pulse insertion: based on the time point when the emergency stop signal is generated, an emergency stop pulse is inserted into the paper conveying control logic to adjust the conveying speed of the next page of paper; Wherein, before the page spacing abnormality detection, the method further includes: Paper stacking risk prediction: Analyze the changing trend of the current page spacing based on the LSTM model and predict the probability of paper stacking risk within the next N pages; Page spacing compensation is activated, and subsequent page spacing is dynamically adjusted based on whether the stacking risk probability exceeds a preset threshold; The specific method of paper stacking risk prediction includes: Based on the input feature selection of the LSTM model, a feature vector of the page spacing change trend is determined; wherein the feature vector includes the current page spacing, the historical page spacing change rate, and the paper conveying speed; The LSTM model is trained based on the feature vector to obtain a paper stacking risk prediction model; wherein the paper stacking risk prediction model outputs the probability of paper stacking risk within the next N pages; The specific method of inserting the emergency stop pulse includes: Based on the time point when the emergency stop signal is generated, determining the insertion position of the emergency stop pulse; wherein the duration of the emergency stop pulse is 5 milliseconds, and the insertion position is located at the starting point of the next cycle of the paper conveying control logic; Based on the insertion position of the emergency stop pulse, the speed curve of the paper conveying motor is adjusted; wherein the adjustment range of the speed curve is limited to within 60% of the maximum speed of the motor.

2. The laser printer anti-paper jam intelligent calibration method according to claim 1, characterized in that: The specific method of monitoring the page footer position includes: Determine a sampling point set at the tail end of each sheet of paper based on the scanning frequency setting; wherein the sampling point set includes a plurality of position data points distributed along the paper conveying direction; Constructing a page end position curve based on the sampling point set; wherein the page end position curve is used to reflect the real-time position change of the paper end during the conveying process; The real-time state of the current page spacing is determined based on the page end position curve; wherein the current page spacing is the distance between the end position of the previous page and the beginning position of the next page.

3. The laser printer anti-paper jam intelligent calibration method according to claim 1, characterized in that: The specific method for starting the page spacing compensation includes: Setting a dynamic compensation threshold based on the paper stacking risk probability; wherein the dynamic compensation threshold gradually decreases as the paper stacking risk probability decreases; Determining a target value for page spacing compensation based on the dynamic compensation threshold; wherein the target value is the sum of the dynamic compensation threshold and the current page spacing; Adjusting a speed curve of a paper conveying motor based on the target value; wherein the adjustment range of the speed curve is proportional to the target value; Based on the adjusted rotation speed curve, the page spacing is recalculated until the target value is reached.

4. The laser printer anti-paper jam intelligent calibration method according to claim 1, characterized in that: The specific method of paper stacking risk prediction also includes: Based on the historical data of the feature vector, the weight parameters of the LSTM model are updated; The paper stack risk probability is recalculated based on the updated weight parameter.

5. The laser printer anti-paper jam intelligent calibration method according to claim 1, characterized in that: The specific method for determining the insertion position of the emergency stop pulse also includes: Determining the priority of the emergency stop pulse based on the time point when the emergency stop signal is generated; wherein the priority is dynamically adjusted according to the degree to which the current page spacing is lower than the preset safety threshold; An insertion position of the emergency stop pulse is adjusted based on the priority.

6. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the laser printer anti-paper jam intelligent calibration method according to any one of claims 1 to 5.

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