Thickness regulation and control method and system for tobacco sheets obtained through rolling method

Through real-time measurement and dynamic adaptive signal noise reduction processing, combined with servo motor adjustment, the accuracy problem of thickness control of tobacco sheets produced by roller pressing was solved, achieving more efficient thickness control and improving product quality.

CN120753423APending Publication Date: 2025-10-10SHANGHAI TOBACCO GROUP CO LTD +1
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Patent Information

Application Number
CN202511084376.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-04
Publication Date
2025-10-10

AI Technical Summary

Technical Problem

The existing roller-pressed tobacco sheet thickness control lacks self-control capability and poor thickness accuracy, resulting in the production of substandard products and heavy personnel burden.

Method used

The thickness of tobacco sheets is measured in real time and dynamic adaptive signal noise reduction processing is performed. The deviation value is calculated and transmitted to the servo motor for adjustment. Combined with sliding average, signal decomposition and delay compensation, precise control of thickness is achieved.

Benefits of technology

The timeliness and accuracy of thickness feedback control are improved, overshoot or undershoot problems are avoided, and product quality is improved.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention provides a method and system for regulating and controlling the thickness of a tobacco sheet through a rolling method, and the method comprises the steps: measuring the actual thickness of the tobacco sheet on a conveying belt in real time, and carrying out the dynamic self-adaptive signal noise reduction processing of the actual thickness, and obtaining the corrected thickness after correction; and calculating a deviation value between the corrected thickness and the target thickness of the tobacco sheet, and transmitting the deviation value to a corresponding servo motor, so that the servo motor adjusts the thickness of the tobacco sheet based on the deviation value. Therefore, timeliness and accuracy of sheet thickness feedback regulation are improved, the problem of overshoot or reverse regulation caused by large deviation of sheet thickness feedback regulation in a rolling method is avoided, and product quality is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of tobacco automation, and in particular to a thickness control method and system for tobacco sheets produced by a roller pressing method. Background Art

[0002] With the rapid development of new heat-not-burn (HBN) tobacco technologies, roll-pressed sheeting has gained widespread use as a primary component of heat-not-burn (HBN) cigarette cartridges due to its rapid drying and forming time, minimal nicotine and aroma loss, ability to retain the tobacco's natural flavor, and its strong carrying capacity and high density. It is essentially a mixture of tobacco powder, binder, water, atomizer, and other substances in specific proportions, followed by rolling, drying, and shredding. Sheet thickness is a key indicator in the production process of roll-pressed sheeting, impacting cigarette quality and puff feel. Therefore, feedback control of roll-pressed sheet thickness plays a crucial role in overall production line performance, as the timeliness and effectiveness of thickness control directly impact the quality of the finished product.

[0003] However, in the current reconstituted tobacco industry, the thickness control of roller-pressed sheets is generally based on manual experience, and the thickness is then adjusted by manually adjusting the gap between the rollers. This lacks the ability to automatically control the thickness, resulting in poor thickness accuracy, heavy labor burden, and large errors that lead to defective products. Summary of the Invention

[0004] In view of the problems existing in the prior art, the embodiments of the present invention provide a method and system for controlling the thickness of tobacco sheets produced by a roller pressing process.

[0005] An embodiment of the present invention provides a method for controlling the thickness of a tobacco sheet produced by a roller pressing process, the method comprising:

[0006] measuring the actual thickness of the tobacco sheets on the conveyor belt in real time, and performing dynamic adaptive signal noise reduction processing on the actual thickness to obtain a corrected thickness;

[0007] A deviation between the corrected thickness and the target thickness of the tobacco sheet is calculated, and the deviation is transmitted to a corresponding servo motor for the servo motor to adjust the thickness of the tobacco sheet based on the deviation.

[0008] In one embodiment, the method further comprises:

[0009] Performing sliding average processing on the actual thickness to obtain a preliminary smoothed thickness sequence;

[0010] Performing signal decomposition on the preliminarily smoothed thickness sequence to obtain a bottom layer profile and upper layer details of the signal, filtering the bottom layer profile through a preset amplitude threshold, and recombining the filtered bottom layer profile and upper layer details;

[0011] The position deviation between the thickness monitoring point and the pressing roller point is compared, and delay compensation is performed on the thickness sequence after signal recombination based on the position deviation.

[0012] In one embodiment, the method further comprises:

[0013]

[0014] in, is the thickness of tobacco sheets after sliding average processing, h i is the real-time tobacco sheet thickness, n is the current signal number, and m is the number of data processed by sliding smoothing average.

[0015] In one embodiment, the method further comprises:

[0016] Defines the adjustment interval of the servo motor, including:

[0017] T≥(S1+0.5S2) / v

[0018] Where T is the adjustment interval, S1 is the distance between the thickness gauge and the pressure roller, S2 is the circumference of the pressure roller, and v is the conveyor belt speed;

[0019] During the adjustment interval, adjusting the degree of correction of the actual thickness by a preset progressive coefficient includes:

[0020]

[0021]

[0022] Among them, h0 is the current thickness deviation value, h m is the target thickness, h is the corrected thickness deviation value, h1 is the thickness deviation value calculated for the first time, and t is the progressive coefficient during the thickness adjustment process.

[0023] In one embodiment, the method further comprises:

[0024] Compare the distance between the thickness gauge that measures the actual thickness and the pressure roller, and calculate the transmission delay time based on the production line speed;

[0025] Determining whether the deviation value reaches an adjustment threshold, and determining an adjustment scheme of a corresponding level when the thickness difference reaches the adjustment threshold;

[0026] A compensation coefficient is determined based on the corresponding level of the adjustment scheme and the state of the production line, and correction data of the servo motor is determined in combination with the compensation coefficient, the transmission delay time and the deviation value.

[0027] An embodiment of the present invention provides a thickness control system for roller-pressed tobacco sheets, the system comprising:

[0028] A correction module is used to measure the actual thickness of the tobacco sheets on the conveyor belt in real time and perform dynamic adaptive signal noise reduction processing on the actual thickness to obtain a corrected thickness;

[0029] The adjustment module is used to calculate the deviation between the corrected thickness and the target thickness of the tobacco sheet, and transmit the deviation to the corresponding servo motor so that the servo motor adjusts the thickness of the tobacco sheet based on the deviation.

[0030] In one embodiment, the system further comprises:

[0031] A sliding average processing module, configured to perform sliding average processing on the actual thickness to obtain a preliminary smoothed thickness sequence;

[0032] a signal filtering module, configured to perform signal decomposition on the preliminarily smoothed thickness sequence to obtain a bottom-layer profile and upper-layer details of the signal, filter the bottom-layer profile through a preset amplitude threshold, and reconstruct the filtered bottom-layer profile and upper-layer details;

[0033] The delay compensation module is used to compare the position deviation between the thickness monitoring point and the pressure roller point, and perform delay compensation on the thickness sequence after signal recombination based on the position deviation.

[0034] In one embodiment, the system further comprises:

[0035] A calculation module is used to compare the distance between the thickness gauge that measures the actual thickness and the pressure roller, and calculate the transmission delay time based on the production line speed;

[0036] a judgment module, configured to judge whether the deviation value reaches an adjustment threshold, and determine an adjustment scheme of a corresponding level when the thickness difference value reaches the adjustment threshold;

[0037] The compensation module is used to determine a compensation coefficient based on the corresponding level of the adjustment scheme and the production line status, and determine correction data of the servo motor in combination with the compensation coefficient, the transmission delay time and the deviation value.

[0038] An embodiment of the present invention provides an electronic device, including a processor and a memory;

[0039] The processor is connected to the memory;

[0040] The memory is used to store executable program code;

[0041] The processor reads the executable program code stored in the memory to run a program corresponding to the executable program code, so as to execute the method described in one or more embodiments.

[0042] An embodiment of the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method for controlling the thickness of tobacco sheets by the roller pressing method are implemented.

[0043] In view of the above, in one or more embodiments of this specification, the actual thickness of the tobacco sheet on the conveyor belt is measured in real time, and dynamic adaptive signal noise reduction processing is performed on the actual thickness to obtain a corrected thickness. The deviation between the corrected thickness and the target thickness of the tobacco sheet is calculated, and the deviation value is transmitted to the corresponding servo motor, so that the servo motor can adjust the thickness of the tobacco sheet based on the deviation value. In this way, by performing noise reduction processing on the sheet thickness data detected by the thickness gauge, the actual thickness of the sheet using the roller pressing method can be better predicted, the fluctuation trend of the sheet thickness can be quickly discovered, and timely feedback can be provided to the servo motor for interventional control based on the interventional control thickness determination method. This improves the timeliness and accuracy of the feedback control of the sheet thickness, avoids overshoot or undershoot caused by large deviations in the feedback control of the sheet thickness using the roller pressing method, and improves product quality. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0045] Figure 1 This is a flow chart of a method for controlling the thickness of tobacco sheets produced by a roller pressing process, provided in one embodiment of this specification.

[0046] Figure 2 This is a thickness curve diagram before smoothing and at different smoothing intensities provided by an embodiment of this specification.

[0047] Figure 3 This is a feedback adjustment curve diagram provided by an embodiment of the present specification when the thickness deviation response threshold of tobacco sheet produced by roller pressing exceeds 1 / 2 of the tolerance.

[0048] Figure 4 This is a feedback adjustment curve diagram provided by an embodiment of the present specification when the thickness deviation response threshold of tobacco sheet produced by roller pressing exceeds 1 / 4 of the tolerance.

[0049] Figure 5 This is a schematic structural diagram of a thickness control system for roller-pressed tobacco sheets provided in one embodiment of this specification.

[0050] Figure 6 This is a structural diagram of an electronic device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0051] The subject matter described herein will now be discussed with reference to example embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and implement the subject matter described herein, and are not intended to limit the scope of protection, applicability, or examples set forth in the claims. The functions and arrangements of the elements discussed may be changed without departing from the scope of protection of this specification. Various examples may omit, replace, or add various processes or components as needed. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted, or combined. In addition, features described relative to some examples may also be combined in other examples.

[0052] As used herein, the term "including" and its variations are open terms meaning "including but not limited to". The term "based on" means "based at least in part on". The terms "one embodiment" and "an embodiment" mean "at least one embodiment". The term "another embodiment" means "at least one other embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other definitions may be included below, whether explicit or implicit. Unless the context clearly indicates otherwise, the definition of a term is consistent throughout the specification.

[0053] like Figure 1 As shown, an embodiment of the present invention provides a method for controlling the thickness of a tobacco sheet produced by a roller pressing process, comprising:

[0054] Step S102 , measuring the actual thickness of the tobacco sheet on the conveyor belt in real time, and performing dynamic adaptive signal noise reduction processing on the actual thickness to obtain a corrected thickness.

[0055] Specifically, on the tobacco sheet production line, the actual thickness of the tobacco sheets on the conveyor belt is measured in real time. The actual thickness of the tobacco sheets can be measured using a thickness gauge, which can be ultrasonic, radiographic, laser, infrared, or mechanical, with infrared being preferred. The thickness gauge can be positioned at a suitable location on the production line, such as a location where it can be detected immediately after rolling, thereby providing timely feedback on the rolling effect. For example, it can be installed 1.5 meters behind the roller outlet (away from the vibration zone).

[0056] Furthermore, after the actual thickness of the tobacco sheet is measured by a thickness gauge, dynamic adaptive signal noise reduction is performed on the actual thickness to eliminate the data error measured by the thickness gauge to obtain a corrected thickness. The adaptive signal noise reduction process includes three steps: smoothing noise reduction (sliding average), wavelet noise reduction, and dynamic prediction. The smoothing noise reduction step specifically includes:

[0057] Smoothing and denoising the tobacco sheet thickness data measured by the thickness gauge can be performed. During the denoising process, a window m can be introduced. m represents the intensity of the smoothing and denoising, indicating the number of data points adjacent to the actual thickness data that are used in the smoothing operation. The sliding window m ranges from 1 to 40, preferably 5 to 30. When the current number of data points is less than m, the denoising result is the average of all previous values. When the current number of data points is greater than m, the result is the average of the previous m values. In practice, the smoothing intensity should be determined based on the total number of data points. Figure 2 The following are examples of signals before smoothing and at different smoothing intensities. The curves in the figure are when m is 0 (before smoothing), 10, and 30, respectively, as shown in the following formula:

[0058]

[0059] in, is the thickness of tobacco sheets after sliding average processing, h i is the real-time tobacco sheet thickness, n is the current signal number, and m is the number of data processed by sliding smoothing average.

[0060] Furthermore, when the thickness is corrected and controlled, the scale of the control needs to be controlled by a standard. For example, when the current sheet thickness deviates from the target center value to a certain extent, the thickness feedback control is enabled. Therefore, an intervention threshold M can be defined. s , M s It can be more than the tolerance range, more than 1 / 2 of the tolerance, more than 1 / 4 of the tolerance, preferably more than 1 / 4 of the tolerance. In addition, the adjustment interval T is defined to avoid overshoot or undershoot caused by large deviation of the feedback adjustment of the sheet thickness in the roller pressing method.

[0061] T≥(S1+0.5S2) / v

[0062] Where T is the adjustment interval, S1 is the distance between the thickness gauge and the pressure roller, S2 is the circumference of the pressure roller, and v is the conveyor belt speed.

[0063] Furthermore, the thickness correction value should be the difference between the smoothed sheet thickness and the set target value. To prevent overshoot or undershoot of sheet thickness and to avoid overly aggressive thickness control due to accidental factors, the intervention asymmetry coefficient t is introduced to represent the aggressiveness of thickness feedback control. The calculated thickness adjustment value is asymptotically calculated using the following formula, which stabilizes thickness feedback control and avoids overshoot or undershoot caused by large deviations in sheet thickness feedback control using the roller pressing method, thereby improving product quality.

[0064]

[0065]

[0066] Among them, h0 is the current thickness deviation value, h m is the target thickness, h is the corrected thickness deviation value, h1 is the thickness deviation value calculated for the first time, and t is the progressive coefficient during the thickness adjustment process

[0067] The thickness setting value of the sheet can be 0.16±0.02mm. In the intervention control thickness determination method, the thickness deviation response threshold is more than 1 / 2 of the tolerance, and the adjustment interval time T is 10s. The thickness feedback control process example is shown in Figure 3 .like Figure 3 As shown, the controller performs smoothing and noise reduction processing on the tobacco sheet thickness data measured by the thickness gauge to obtain the corrected thickness data. When the corrected thickness data exceeds the tolerance of 0.01mm and shows a thickening trend, it begins to intervene in the regulation to compensate for the trend of thicker sheet thickness and restore the thickness to normal levels.

[0068] On the other hand, the thickness setting value of the sheet is 0.16±0.02mm. In the intervention control thickness determination method, the thickness deviation response threshold is 1 / 4 of the tolerance, and the adjustment interval time T is 10s. The thickness feedback control process example is shown in Figure 4 .like Figure 4 As shown, the controller performs smoothing and noise reduction processing on the tobacco sheet thickness data measured by the thickness gauge to obtain corrected thickness data. When the corrected thickness data exceeds the tolerance of 0.01 mm and shows a thinning trend, it begins to intervene and control to compensate for the trend of thinner sheet thickness and restore the thickness to normal levels.

[0069] Furthermore, after completing the sliding average processing, in order to preserve the true thickness mutation and eliminate instantaneous interference, the initially smoothed thickness sequence undergoes secondary processing and signal decomposition to obtain the underlying signal profile (approximate low-frequency components) and upper-layer details (high-frequency components). The underlying profile is then filtered using a preset amplitude threshold, and the filtered underlying profile and upper-layer details are recombined.

[0070] Further, the data is processed in three levels, the purpose of three-level processing is to make up for the transmission error of the conveying belt, such as the transmission of 0.3 seconds (example value) from the compression roller to the detection point, and the adjustment will have a 0.3 second lag after the deviation is measured, and the data of the above 0.3 second lag is compensated for error. Including the distance between the thickness gauge and the compression roller compared to the actual thickness, and combining the production line speed to calculate the transmission delay time; such as the distance from the thickness gauge to the compression roller (example: 1.5 meters), divided by the real-time speed of the production line (example: 2 meters / second) → get the delay time 0.75 seconds. Then judge whether the thickness deviation value reaches the adjustment threshold, wherein the deviation value at this time can be the difference between the thickness value after the secondary processing and the target thickness value, and the adjustment threshold can be divided into several threshold levels, including: when the thickness deviation is ≤±0.05mm, it can be within the process range and can not be processed; 0.05mm<thickness deviation≤0.1mm, and the deviation value is greater than 2 seconds; adjust to prevent false triggering caused by temporary interference; thickness deviation>0.1mm, indicating that the deviation is large and needs to be adjusted immediately. When compensating, the compensation coefficient can be determined based on the corresponding level of the adjustment scheme and the production line state, and the compensation coefficient can be, for example, the compensation coefficient of normal adjustment is 1.0, that is, the deviation 0.1mm corresponds to the adjustment of 0.1mm; when the deviation deteriorates rapidly, such as the thickness deviation value changes at a rate of a certain threshold in a short time, such as the thickness from 1.06→1.12mm only in 0.5 seconds, it is predicted that there is a risk of losing control, and the corresponding compensation coefficient can be 1.2; when the production line accelerates, it can be adjusted to 1.1 to improve the response speed.

[0071] Step S104, calculate the deviation value between the corrected thickness and the target thickness of the tobacco sheet, and transmit the deviation value to the corresponding servo motor for the servo motor to adjust the thickness of the tobacco sheet based on the deviation value.

[0072] Specifically, after the thickness is corrected by dynamic adaptive signal noise reduction processing, the deviation value between the corrected thickness and the target thickness of the tobacco sheet is compared to determine the difference between the current sheet thickness and the target. And the deviation value is transmitted to the corresponding servo motor, wherein the full stroke adjustment time of the servo motor should be less than the time of the production line passing through one sheet length, so as to ensure that the actuator quickly and accurately executes the adjustment instruction according to the deviation value. The servo motor adjusts the gap width between the compression rollers to realize feedback adjustment of the thickness of the tobacco sheet until the detected thickness of the tobacco sheet reaches the target thickness requirement.

[0073] An embodiment of the present invention provides a thickness control method for tobacco sheets produced using a roller-pressing process. The method measures the actual thickness of tobacco sheets on a conveyor belt in real time, performs dynamic adaptive signal noise reduction on the actual thickness, and obtains a corrected thickness. The method also calculates the deviation between the corrected thickness and the target thickness of the tobacco sheets, and transmits the deviation to a corresponding servo motor, which then adjusts the thickness of the tobacco sheets based on the deviation. By performing noise reduction on the sheet thickness data detected by the thickness gauge, the actual thickness of the sheets produced using the roller-pressing process can be better predicted, and fluctuation trends in the sheet thickness can be quickly identified. Based on an intervention control thickness determination method, timely feedback is provided to the servo motor for intervention control, improving the timeliness and accuracy of sheet thickness feedback control, avoiding overshoot or undershoot problems caused by large deviations in thickness feedback control of the sheets produced using the roller-pressing process, and improving product quality.

[0074] See Figure 5 , Figure 5 This is a schematic diagram of the structure of a thickness control system for roller-pressed tobacco sheets provided in an embodiment of the present application. Figure 5 As shown, the system includes:

[0075] Correction module S502 is used to measure the actual thickness of the tobacco sheet on the conveyor belt in real time and perform dynamic adaptive signal noise reduction processing on the actual thickness to obtain a corrected thickness;

[0076] The adjustment module S504 is configured to calculate a deviation between the corrected thickness and the target thickness of the tobacco sheet, and transmit the deviation to a corresponding servo motor, so that the servo motor adjusts the thickness of the tobacco sheet based on the deviation.

[0077] In another embodiment, a thickness control system for roller-pressed tobacco sheets further comprises:

[0078] A sliding average processing module, configured to perform sliding average processing on the actual thickness to obtain a preliminary smoothed thickness sequence;

[0079] a signal filtering module, configured to perform signal decomposition on the preliminarily smoothed thickness sequence to obtain a bottom-layer profile and upper-layer details of the signal, filter the bottom-layer profile through a preset amplitude threshold, and reconstruct the filtered bottom-layer profile and upper-layer details;

[0080] The delay compensation module is used to compare the position deviation between the thickness monitoring point and the pressure roller point, and perform delay compensation on the thickness sequence after signal recombination based on the position deviation.

[0081] In another embodiment, a thickness control system for roller-pressed tobacco sheets further comprises:

[0082] A calculation module is configured to calculate a transmission delay duration by comparing the distance between the thickness gauge and the compression roller and combining the speed of the production line.

[0083] A judgment module is configured to judge whether the deviation value reaches an adjustment threshold, and determine an adjustment scheme of a corresponding level when the thickness difference reaches the adjustment threshold.

[0084] A compensation module is configured to determine a compensation coefficient based on the corresponding level of the adjustment scheme and the state of the production line, and determine the correction data of the servo motor by combining the compensation coefficient, the transmission delay duration and the deviation value.

[0085] Those skilled in the art can clearly understand that the technical solutions of the embodiments of the present application can be implemented by means of software and / or hardware. The "unit" and "module" in the specification refer to software and / or hardware that can independently complete or cooperate with other components to complete a specific function, and the hardware may, for example, be a field programmable gate array (FPGA), an integrated circuit (IC), etc.

[0086] The various processing units and / or modules of the embodiments of the present application can be implemented by means of analog circuits that implement the functions described in the embodiments of the present application, or by means of software that implements the functions described in the embodiments of the present application.

[0087] Referring to Figure 6 , a structural schematic diagram of an electronic device related to the embodiments of the present application is shown, which can be used to implement the method in the embodiments shown in Figure 1 . As shown in Figure 6 , the electronic device 600 can include at least one processor 601, at least one network interface 604, a user interface 603, a memory 605, and at least one communication bus 602.

[0088] The communication bus 602 is used to realize the connection and communication between the components.

[0089] The user interface 603 can include a display screen (Display) and a camera (Camera), and the optional user interface 603 can further include a standard wired interface and a wireless interface.

[0090] The network interface 604 can optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0091] The processor 601 may include one or more processing cores. The processor 601 utilizes various interfaces and circuits to connect various components within the electronic device 600. It executes instructions, programs, code sets, or instruction sets stored in the memory 605 and accesses data stored in the memory 605 to perform various functions and process data within the electronic device 600. Optionally, the processor 601 may be implemented in hardware using at least one of a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 601 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing content displayed on the display; and the modem handles wireless communications. It is understood that the modem may also be implemented independently of the processor 601 and implemented on a separate chip.

[0092] Among them, the memory 605 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 605 includes a non-transitory computer-readable storage medium. The memory 605 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 605 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 605 may also be optionally at least one storage device located away from the aforementioned processor 601. As Figure 6 As shown, the memory 605 as a computer storage medium may include an operating system, a network communication module, a user interface module, and program instructions.

[0093] exist Figure 6In the electronic device 600 shown, the user interface 603 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 601 can be used to call the image-generated interactive application stored in the memory 605, and specifically perform the following operations: real-time measurement of the actual thickness of the tobacco sheet on the conveyor belt, and dynamic adaptive signal noise reduction processing of the actual thickness to obtain a corrected thickness; calculation of the deviation value between the corrected thickness and the target thickness of the tobacco sheet, and transmission of the deviation value to the corresponding servo motor, so that the servo motor adjusts the thickness of the tobacco sheet based on the deviation value.

[0094] The present application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above method. The computer-readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a microdrive, a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.

[0095] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0096] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0097] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely 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 through some service interface, and the indirect coupling or communication connection of the device or unit can be electrical or other forms.

[0098] 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.

[0099] 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.

[0100] 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 memory. 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. The computer software product is stored in a memory and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, magnetic disk, or optical disk, etc., various media that can store program code.

[0101] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program. The program may be stored in a computer-readable memory, which may include a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0102] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for controlling the thickness of a roll-pressed tobacco sheet, the method comprising: measuring the actual thickness of the tobacco sheets on the conveyor belt in real time, and performing dynamic adaptive signal noise reduction processing on the actual thickness to obtain a corrected thickness; A deviation between the corrected thickness and the target thickness of the tobacco sheet is calculated, and the deviation is transmitted to a corresponding servo motor for the servo motor to adjust the thickness of the tobacco sheet based on the deviation.

2. The method according to claim 1, characterized in that The dynamic adaptive signal noise reduction processing for the actual thickness includes: Performing sliding average processing on the actual thickness to obtain a preliminary smoothed thickness sequence; Performing signal decomposition on the preliminarily smoothed thickness sequence to obtain a bottom layer profile and upper layer details of the signal, filtering the bottom layer profile through a preset amplitude threshold, and recombining the filtered bottom layer profile and upper layer details; The position deviation between the thickness monitoring point and the pressing roller point is compared, and delay compensation is performed on the thickness sequence after signal recombination based on the position deviation.

3. The method according to claim 2, characterized in that The sliding average processing of the actual thickness includes: ; in, is the thickness of tobacco sheets after sliding average processing, h i is the real-time tobacco sheet thickness, n is the current signal number, and m is the number of data processed by sliding smoothing average.

4. The method according to claim 3, characterized in that Correcting the actual thickness to obtain a corrected thickness includes: Defines the adjustment interval of the servo motor, including: T≥(S1+0.5S2) / v Where T is the adjustment interval, S1 is the distance between the thickness gauge and the pressure roller, S2 is the circumference of the pressure roller, and v is the conveyor belt speed; During the adjustment interval, adjusting the degree of correction of the actual thickness by a preset progressive coefficient includes: , , Among them, h0 is the current thickness deviation value, h m is the target thickness, h is the corrected thickness deviation value, h1 is the thickness deviation value calculated for the first time, and t is the progressive coefficient during the thickness adjustment process.

5. The method according to claim 2, characterized in that The method further comprises: Compare the distance between the thickness gauge that measures the actual thickness and the pressure roller, and calculate the transmission delay time based on the production line speed; Determining whether the deviation value reaches an adjustment threshold, and determining an adjustment scheme of a corresponding level when the thickness difference reaches the adjustment threshold; A compensation coefficient is determined based on the corresponding level of the adjustment scheme and the state of the production line, and correction data of the servo motor is determined in combination with the compensation coefficient, the transmission delay time and the deviation value.

6. A thickness control system for roller-pressed tobacco sheets, characterized in that: The system comprises: A correction module is used to measure the actual thickness of the tobacco sheets on the conveyor belt in real time and perform dynamic adaptive signal noise reduction processing on the actual thickness to obtain a corrected thickness; The adjustment module is used to calculate the deviation between the corrected thickness and the target thickness of the tobacco sheet, and transmit the deviation to the corresponding servo motor so that the servo motor adjusts the thickness of the tobacco sheet based on the deviation.

7. The system according to claim 6, characterized in that The system further comprises: A sliding average processing module, configured to perform sliding average processing on the actual thickness to obtain a preliminary smoothed thickness sequence; a signal filtering module, configured to perform signal decomposition on the preliminarily smoothed thickness sequence to obtain a bottom-layer profile and upper-layer details of the signal, filter the bottom-layer profile through a preset amplitude threshold, and reconstruct the filtered bottom-layer profile and upper-layer details; The delay compensation module is used to compare the position deviation between the thickness monitoring point and the pressure roller point, and perform delay compensation on the thickness sequence after signal recombination based on the position deviation.

8. The system according to claim 7, characterized in that The system further comprises: A calculation module is used to compare the distance between the thickness gauge that measures the actual thickness and the pressure roller, and calculate the transmission delay time based on the production line speed; a judgment module, configured to judge whether the deviation value reaches an adjustment threshold, and determine an adjustment scheme of a corresponding level when the thickness difference value reaches the adjustment threshold; The compensation module is used to determine a compensation coefficient based on the corresponding level of the adjustment scheme and the production line status, and determine correction data of the servo motor in combination with the compensation coefficient, the transmission delay time and the deviation value.

9. An electronic device comprising a processor and a memory; The processor is connected to the memory; The memory is used to store executable program code; The processor reads the executable program code stored in the memory to run a program corresponding to the executable program code, so as to execute the method according to any one of claims 1 to 5.

10. A computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the method according to any one of claims 1 to 5 when executed by a processor.