Control system and control method based on pressure-sensitive adhesive production line

Abstract

The invention relates to the technical field of production control, in particular to a control system and a control method based on a pressure-sensitive adhesive production line. The method comprises the following steps that independent mechanical segments are arranged below a coating scraper in the width direction, and each segment is provided with a micro-eccentricity adjusting assembly and an elastic fluid self-balancing unit; a film acoustic resonance sensing belt is arranged on the scraper to detect the film thickness in real time and generate a local indication signal, when the local film thickness deviates from a preset range, a micro-eccentricity adjusting assembly is driven to conduct angular displacement fine adjustment, meanwhile, an elastic fluid self-balancing unit valve is opened or closed to conduct local pressure adjustment, composite compensation data are formed, and the process is executed circularly. And all the film thickness signals meet the preset range. Through composite closed-loop control of independent mechanical segmentation, the micro-eccentricity adjusting assembly and the elastic fluid self-balancing unit, high-precision, homogenization, quick response and intelligent management of the coating film thickness of the pressure-sensitive adhesive production line are realized, so that the product quality, the production stability and the process controllability are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of production control, in particular to a control system and control method based on a pressure-sensitive adhesive production line. BACKGROUND

[0002] In the coating control of a traditional pressure-sensitive adhesive production line, the overall doctor blade or single mechanical segmentation is usually used for film thickness adjustment, the coating thickness is controlled by relying on fixed doctor blade pressure and preset speed, and the film thickness is detected and adjusted by manual or simple sensor. This method has the following specific defects: due to the fact that the doctor blade cannot be finely segmented in the width direction, local over-thickness or under-thickness areas may appear on the substrate, leading to inconsistent product performance, and there is a lack of local contact pressure adjustment mechanism for different width positions, and single pressure adjustment cannot adapt to different adhesive flow characteristics or slight unevenness of the substrate, resulting in film thickness fluctuation. SUMMARY

[0003] Therefore, it is necessary to provide a control system and control method based on a pressure-sensitive adhesive production line to solve at least one of the above technical problems.

[0004] To achieve the above-mentioned purpose, a control method based on a pressure-sensitive adhesive production line, the method comprising the following steps: Step S1: a plurality of independent mechanical segments are arranged along the width direction under the contact surface of the coating doctor blade and the substrate, wherein each segment is equipped with a micro-eccentric adjustment component and an elastic fluid self-balancing unit; Step S2: at least one thin film acoustic resonance sensing strip is arranged on the doctor blade, and a local film thickness indication signal is generated according to the film thickness detected by the thin film acoustic resonance sensing strip; Step S3: when the local film thickness indication signal deviates from the preset range, the micro-eccentric adjustment component of the corresponding mechanical segment is driven to adjust the angular displacement, and the corresponding elastic fluid self-balancing unit valve is opened or closed to adjust the local contact pressure, and the composite compensation data is obtained; Step S4: repeat steps S2-S3 until all film thickness indication signals enter the preset range, and save the corresponding composite compensation data for coating process control of the pressure-sensitive adhesive production line.

[0005] In this specification, a control system based on a pressure-sensitive adhesive production line is provided for executing the above-mentioned control method based on a pressure-sensitive adhesive production line, which comprises: The mechanism setting module is used to arrange a plurality of independent mechanical segments along the width direction under the contact surface of the coating doctor blade and the substrate, wherein each segment is equipped with a micro-eccentric adjustment component and an elastic fluid self-balancing unit; The signal acquisition module is configured to set at least one film acoustic resonance sensing belt on the doctor blade, and to generate a local film thickness indication signal according to the film acoustic resonance sensing belt detecting the coating film thickness; The control optimization module is configured to drive the angular displacement fine adjustment of the micro-eccentricity adjustment assembly corresponding to the mechanical segment when the local film thickness indication signal deviates from the preset range, and simultaneously open or close the local contact pressure adjustment of the valve of the elastic fluid self-balancing unit corresponding to the mechanical segment, to obtain composite compensation data. The control cycle module is configured to repeat the operation of the signal acquisition module and the control optimization module until all the film thickness indication signals enter the preset range, and save the corresponding composite compensation data for coating process control of the pressure-sensitive adhesive production line.

[0006] The present application has the following beneficial effects: I. By setting several independent mechanical segments along the width direction under the coating doctor blade, and equipping each segment with a micro-eccentricity adjustment assembly and an elastic fluid self-balancing unit, local support, angular displacement fine adjustment and local contact pressure control of the coating doctor blade are realized. This structure can accurately adjust the coating film thickness, making the film thickness distribution more uniform, significantly improving the coating quality of the pressure-sensitive adhesive product, while reducing the scrap rate and material waste caused by film thickness fluctuation.

[0007] II. Combined with real-time monitoring of film thickness data by the film acoustic resonance sensing belt, and closed-loop fine adjustment control of dynamic deviation curve and film thickness deviation inertia coefficient, rapid response and intelligent correction of film thickness deviation in the coating process are realized. Through the coordinated action of the micro-eccentricity adjustment assembly and the elastic fluid self-balancing unit, film thickness inertia lag and dynamic fluctuation can be effectively overcome, and the adaptability and stability of the production line to high-precision coating process can be improved.

[0008] III. Through real-time comparison of valve operation instructions and action feedback data, fine adjustment and control consistency verification of local contact pressure are realized, providing reliable composite compensation data for the pressure-sensitive adhesive production line. This control method can realize fully automated and intelligent coating process management, not only improving production efficiency and process stability, but also providing traceable data basis for production line operation, further supporting production optimization and equipment maintenance. BRIEF DESCRIPTION OF DRAWINGS

[0009] Figure 1 It is a step flowchart of a control method based on a pressure-sensitive adhesive production line; Figure 2 It is Figure 1 It is a detailed implementation step flowchart of step S3; Figure 3 It is a mechanical structure diagram of the control method based on the pressure-sensitive adhesive production line; The objectives, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0010] The technical method of the present application will be described clearly and completely below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by those skilled in the art without creative work fall within the scope of the present application.

[0011] In addition, the accompanying drawings are only schematic and are not necessarily drawn to scale. Like reference numerals designate like elements throughout the several views. Like elements are not necessarily depicted in all figures. Some of the blocks in the drawings are functional blocks that represent functional entities, which can be implemented in software, or in hardware, or in a combination of software and hardware, or in different network and / or processor methods and / or microcontroller methods.

[0012] It should be understood that, although the terms "first", "second" and the like can be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the example embodiments. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0013] To achieve the above object, please refer to Figures 1 to 3 A control method based on a pressure-sensitive adhesive production line, the method comprising the following steps: Step S1: A plurality of independent mechanical segments are arranged along the width direction below the contact surface between the coating doctor blade and the substrate, wherein each segment is equipped with a micro-eccentricity adjusting assembly and an elastic fluid self-balancing unit; In an embodiment, the overall doctor blade structure is divided into a plurality of independent mechanical segments along the coating width direction below the contact surface between the coating doctor blade and the substrate of the coating production line. The width range of each segment can be set to 50mm-150mm to adapt to the coating requirements of different width substrates.

[0014] In each independent mechanical segment, a micro- eccentricity adjustment assembly is equipped. The micro- eccentricity adjustment assembly includes an eccentric shaft, a stepping micro- motor and a precision adjustment rod, which can realize the fine adjustment of the angular displacement in the range of 0.01mm-0.1mm under the control instruction. Through the independent angle adjustment of each segment, the contact pressure of the scraper and the base material in the width direction can be flexibly controlled, and the uniformity of the local coating thickness is realized.

[0015] In order to ensure the stable contact between the scraper and the base material in the dynamic coating process, each segment is also provided with an elastic fluid self- balancing unit. The unit includes a micro- hydraulic cavity, an elastic diaphragm and a fluid channel, and the cavity is filled with a compressible working fluid. When there is a local thickness fluctuation on the surface of the base material, the fluid cavity can absorb the local disturbance through the deformation of the elastic diaphragm, so as to maintain the dynamic balance of the segment pressure and avoid the coating stripe defects caused by local protrusions or depressions.

[0016] The micro- eccentricity adjustment assembly and the elastic fluid self- balancing unit work together to make each segment have controllable mechanical adjustment ability and self- adaptive buffering ability. Through this composite design, the partition precise control of the coating pressure and the gap in the full width range can be realized, and the uniformity and yield of the coating are effectively improved.

[0017] It should be noted that under different coating material systems, the segment width, eccentricity adjustment precision and working pressure of the fluid cavity can be adjusted according to the parameters such as the viscosity and surface tension of the material. For example, when coating pressure sensitive adhesive material, smaller segment width and higher fluid cavity pressure are preferred to offset the local flow unevenness caused by high viscosity of the material.

[0018] Step S2: at least one thin film acoustic resonance sensing belt is arranged on the scraper, and a local film thickness indication signal is generated according to the film acoustic resonance sensing belt detecting the coating film thickness; In an embodiment, at least one thin film acoustic resonance sensing belt is uniformly arranged on the scraping edge of the coating scraper in the width direction, which is composed of a piezoelectric film layer, a conductive electrode layer and a substrate support layer, and can produce acoustic resonance effect under the action of external coating liquid.

[0019] When the coating liquid forms a coating film layer through the scraper, the coating film thickness will affect the vibration characteristics of the surface of the sensing belt, causing changes in its resonance frequency and amplitude. The thin film acoustic resonance sensing belt detects the acoustic characteristic changes caused by the film thickness in real time, and converts the change signal into an electrical signal output.

[0020] The detection electrical signal is transmitted to the data processing module through the signal acquisition circuit integrated in the scraper, and the data processing module carries out Fourier spectrum analysis and amplitude correction on the electrical signal to obtain the real-time change information of the coating film thickness.

[0021] According to the requirements of different coating width ranges, multiple film acoustic resonance sensing strips can be arranged on the doctor blade in this embodiment to realize segmented detection of local areas. Each sensing strip outputs the film thickness detection result of the corresponding position, and the data processing module generates a local film thickness indication signal after normalization processing, and maps it into a film thickness distribution curve in real time.

[0022] In this embodiment, the detection accuracy of the film acoustic resonance sensing strip can reach ±1 μm, and the sampling frequency is set to 100 Hz-500 Hz, which can meet the requirements of high-speed dynamic film thickness detection during the coating process.

[0023] It should be noted that the installation position and number of the film acoustic resonance sensing strip can be flexibly configured according to the requirements of the substrate width and the film thickness control accuracy. For example, in a high-precision coating process, 5-10 sensing strips can be arranged along the width direction of the doctor blade to obtain a local film thickness indication signal with higher resolution.

[0024] Step S3: When the local film thickness indication signal deviates from the preset range, the micro- eccentricity adjustment component of the corresponding mechanical segment is driven to perform angular displacement fine adjustment, and the valve of the corresponding elastic fluid self-balancing unit is opened or closed to perform local contact pressure adjustment, and composite compensation data is obtained; In an embodiment, the system receives the local film thickness indication signals output by the film acoustic resonance sensing strips on the doctor blade in real time, and compares the real-time film thickness value of each measurement point with its corresponding preset target film thickness range. When the film thickness of a measurement point exceeds the upper limit or is lower than the lower limit, the control module maps the measurement point to the corresponding mechanical segment number and the corresponding elastic fluid self-balancing unit number to form a list of units to be adjusted.

[0025] In some embodiments, the system calculates the preliminary angular displacement command and pressure adjustment command based on the film thickness deviation (the positive value indicates that the film thickness is too large, and the negative value indicates that the film thickness is too small). The angular displacement command is calculated as follows: formula: , where is the angle gain coefficient, is the recommended micro- eccentricity angular displacement; the pressure adjustment command is calculated as follows: , where is the pressure gain coefficient. The above coefficients can be adaptively calibrated in the controller according to empirical data or online identification results. In order to avoid over-regulation, the controller applies upper and lower limit constraints to and , and introduces a rate limit to ensure smoothness.

[0026] For example, in some preferred embodiments, the angular displacement command and the pressure command are not simply linearly mapped, but rather a compensation function with a dead zone and a non-linear mapping is employed: when the fine adjustment dead zone threshold is exceeded, both are zero to avoid frequent perturbations; when the fine adjustment trigger threshold is exceeded, the command is calculated as a gain function and a second order filter is considered to smooth the output. This non-linear mapping can be expressed as: , where , is a monotonically increasing adjustment function.

[0027] In some embodiments, the control module will issue the calculated and to the corresponding segment's actuator and valve control unit: the micro- eccentricity adjustment assembly is driven by a micro-stepping motor or a piezoelectric driver, receives the angular displacement command and performs the angular displacement fine adjustment; the solenoid valve or proportional valve of the elastic fluid self-balancing unit adjusts the opening degree or sets the pressure according to the pressure command, thereby changing the local contact pressure between the doctor blade and the substrate. The system reads the feedback values of the position sensor and the pressure sensor at a fixed sampling period (e.g. 50 ms) during execution to form a closed-loop control.

[0028] For example, the execution sequence can be parallel or serial: the preferred parallel strategy is to simultaneously start the micro-eccentricity angular displacement and valve adjustment to achieve faster local compensation; the serial strategy is to first perform the angular displacement fine adjustment, wait for a short steady-state time t_s (e.g. 0.5 s ~ 2 s) to collect the film thickness feedback, and if the film thickness has not returned to the range, then perform the pressure adjustment or joint adjustment. The parallel or serial strategy can be dynamically selected according to the process response characteristics and the requirement for sensitivity to jitter.

[0029] In other embodiments, the composite compensation data consists of the following fields and is recorded: segment number, trigger timestamp, original film thickness value, target film thickness value, , actual angular displacement , , valve opening actual value, adjusted film thickness value, steady-state determination flag, and action confidence. This composite compensation data is used for both real-time closed-loop determination and subsequent offline process optimization and adaptive parameter calibration.

[0030] Numerical range examples and setting reasons: in preferred embodiments, to balance the adjustment accuracy and system response stability, the following example limits and reasons are given: the upper and lower limits of the micro-eccentricity angular displacement degrees, the minimum resolvable angle Degree; Reason: This angular range can produce measurable local film thickness variation without damaging the scraper assembly or causing abnormal stress on the substrate; smaller resolution is used for high-precision fine-tuning.

[0031] Pressure adjustment range Megapascal (MPa), minimum adjustable step Reason: The elastomeric fluid self-balancing unit is usually sensitive to small pressure changes, 0.15 MPa is sufficient to produce a significant contact force change, and step refinement can ensure smooth transition.

[0032] Fine-tuning dead zone Micron, trigger threshold Micron; Reason: Film thickness measurement has noise and short-term fluctuations, setting a dead zone can avoid unnecessary micro-motions caused by noise, and the trigger threshold ensures that action is taken only when there is a significant deviation from the process target.

[0033] Steady-state waiting time , closed-loop sampling period Reason: Film thickness needs some time to reach a new steady state after fine-tuning, sampling within 50 ms ensures observability of the response and does not overload the controller's calculations.

[0034] In some embodiments, to improve compensation reliability, the system determines the film thickness feedback after N consecutive compensation actions (e.g., N = 3): if the adjusted film thickness does not return to the target range within the steady-state time window, it is determined that the segment enters the "invalid compensation" state, triggering higher-level handling procedures, including but not limited to: expanding the adjustment range, linking adjacent segments for joint adjustment, triggering manual alarms, or entering a global process re-planning mode.

[0035] In other embodiments, model predictive control or adaptive control algorithms can also be used instead of simple proportional mapping: the controller predicts the impact of angular displacement and pressure adjustment on future film thickness based on the dynamic response model of the segment, and solves the optimization problem (e.g., minimizing the sum of squares of film thickness deviations within the future time window) to obtain the optimal and , thereby reducing oscillation and improving convergence speed.

[0036] It should be noted that, to avoid mutual interference caused by concurrent action of multiple segments, the system imposes coupling constraints on adjacent segments during concurrent adjustment: when adjacent segments request angular displacement and the directions are opposite or the valve opening change amplitude is large, the controller reallocates the adjustment task according to priority or through a coordination algorithm to ensure overall coating stability. The controller also records the energy consumption and execution time of each adjustment to optimize the trade-off between angular displacement dominance and pressure dominance in subsequent adjustments.

[0037] In some embodiments, the system periodically analyzes the composite compensation data to update the gain coefficients With : By least square fitting or recursive least square online identification, the historical : input-output data of the system are used to estimate the local response gain, so as to realize gain self-adaptation and improve long-term control accuracy.

[0038] Step S4: Repeat steps S2-S3 until all film thickness indication signals enter the preset range, and save the corresponding composite compensation data for coating process control of the pressure-sensitive adhesive production line.

[0039] In an embodiment, after performing steps S2 and S3, the control module enters a global cycle determination process: the system scans and compares all film thickness indication signals output by the sensor strips in the width direction of the doctor blade, and generates a global film thickness state matrix. If the film thickness value of any measurement point in the matrix still deviates from the preset range, the system automatically returns to step S2 to perform film thickness detection, angular displacement fine adjustment, and local pressure adjustment again for the segment where the measurement point is located, until the film thickness returns to the target range.

[0040] After each cycle, the film thickness deviation, angular displacement adjustment amount, valve opening adjustment amount, film thickness values before and after adjustment, and steady state determination results involved in the cycle are saved, and these data are packaged to form composite compensation data, which are stored in a historical compensation database in chronological order for subsequent process statistics and optimization.

[0041] In a further embodiment, the system can be pre-set with an upper limit of the number of cycles, and when the film thickness signals still cannot enter the target range after a plurality of cycles, the control module triggers an abnormal processing mode, including expanding the adjustment range, coupling adjacent segments for coupled adjustment, or issuing an alarm to prompt manual intervention, to avoid the system from falling into an infinite loop or increasing unnecessary energy consumption.

[0042] In another embodiment, when the system confirms that all film thickness signals enter the preset range, the controller automatically enters a stable running stage, and uses the composite compensation data generated in the last cycle as the final process reference. This data can be used for subsequent real-time closed-loop maintenance, and can also be used as a basis for long-term process optimization and coating quality traceability.

[0043] In a preferred embodiment, the composite compensation data can also be uploaded to the central monitoring system of the pressure-sensitive adhesive production line, and associated with production batch, substrate parameters, and environmental temperature and humidity data to form a complete production quality file, which not only supports quality inspection and traceability in the later stage, but also provides data samples for the controller to optimize the initial control parameters of subsequent batches.

[0044] It should be noted that in actual application, the number of cycles and data storage strategy of step S4 can be adjusted according to different coating process scenarios: in the case of extremely high film thickness precision requirements, the cycle can be appropriately extended and more historical data can be saved to support deep optimization; in the case of higher production efficiency requirements, the number of cycles can be reduced, and stricter abnormal triggering conditions can be set, so as to improve the overall productivity while ensuring the uniformity of coating.

[0045] As an example of the present application, referring to Figure 2 In this example, the step S3 includes: Step S31: When the local film thickness indication signal deviates from the preset range, the local film thickness deviation is determined according to the local film thickness indication signal; Step S32: Determine the target angular displacement value of the micro eccentric adjustment assembly according to the local film thickness deviation, and convert the target angular displacement value into control instructions for the corresponding segmented mechanical structure; Step S33: Trigger each micro eccentric adjustment assembly to perform angular displacement fine adjustment action in sequence through the control instructions; Step S34: Real-time acquisition of film thickness indication signal during fine adjustment, confirming the influence degree of angular displacement adjustment on film thickness deviation, and gradually correcting the angular displacement of micro eccentric adjustment assembly according to the influence degree, to obtain angular displacement adjustment control data; Step S35: Based on the angular displacement adjustment control data, simultaneously open or close the corresponding elastic fluid self-balancing unit valve to adjust the local contact pressure, and obtain the composite compensation data.

[0046] In an embodiment, during the pressure-sensitive adhesive coating process, when the film thickness indication signal of any segment of the doctor blade in the width direction deviates from the preset range, the control system first determines the film thickness deviation of the segment. Specifically, the controller receives the real-time film thickness indication signal from the film acoustic resonance sensing tape, compares it with the preset target film thickness range, determines the deviation of the segment film thickness through difference operation, and records the deviation direction (thickness too large or too small).

[0047] After confirming the film thickness deviation, the system calculates the target angular displacement value of the micro eccentric adjustment assembly according to the deviation. The calculation process includes mapping the deviation to the corresponding mechanical angular displacement, and obtaining the target angle of each segmented micro eccentric adjustment assembly through table lookup or linear / non-linear mapping relationship. At the same time, the controller converts the target angular displacement into specific control instructions of the mechanical execution unit, including driving motor action direction, rotation angle and execution speed, etc.

[0048] After the control instruction is generated, the system triggers each micro-eccentricity adjusting component to perform an angular displacement fine adjustment action in sequence. During the fine adjustment, the driving module slowly rotates the eccentric component according to the set angular velocity, so that the contact height and pressure of the segmented doctor blade are gradually adjusted to avoid overshoot or oscillation of the film thickness.

[0049] At the same time of the angular displacement fine adjustment, the system collects the film thickness indication signal in real time to monitor the correction effect of the fine adjustment action on the film thickness deviation. The controller compares the film thickness value after each fine adjustment with the preset target value, and determines whether the adjustment achieves the expected effect according to the deviation change trend. If the deviation correction is insufficient, the controller dynamically adjusts the angular displacement of the micro-eccentricity adjusting component to gradually approach the target range of the film thickness. The entire process forms angular displacement adjustment control data, including the fine adjustment angle, adjustment step, film thickness change amount and real-time correction record of each segment.

[0050] At the same time, based on the angular displacement adjustment control data, the system controls the valve of the corresponding elastic fluid self-balancing unit. Specifically, according to the film thickness deviation direction and the angular displacement adjustment amount, the controller opens or closes the corresponding valve to adjust the local pressure of the segmented doctor blade in contact with the base material, thereby further compensating for the film thickness deviation. Through the linkage of mechanical fine adjustment and local pressure adjustment, the final composite compensation data is generated, including the angular displacement adjustment amount, the valve opening degree, the film thickness correction amount and the final film thickness value after correction.

[0051] In the preferred embodiment, the composite compensation data can be used as the reference data for this coating cycle, and the system stores it in the process database for closed-loop control and process optimization in subsequent coating processes. At the same time, the controller can perform cumulative analysis on continuous multiple rounds of film thickness adjustment actions to ensure the adjustment stability of the segmented doctor blade and the uniformity of the film thickness, and to avoid the impact of local excessive adjustment on the overall coating quality.

[0052] It should be noted that in actual application, the angular displacement fine adjustment speed, the film thickness sampling frequency and the valve opening and closing response time can be adjusted according to the coating machine running speed and the coating film thickness accuracy requirement to ensure accurate and stable film thickness control under different production conditions.

[0053] Preferably, step S31 comprises the following steps: Step S311: taking the signal waveform formed by the local film thickness indication signal within the continuous scanning time as an effective signal waveform; Step S312: confirming the deviation peak value and the cumulative deviation amount of the effective signal waveform based on the waveform extreme value and the waveform inflection point of the effective signal waveform; Step S313: obtaining a dynamic deviation curve according to the deviation peak value and the cumulative deviation amount, and calculating the film thickness deviation inertia coefficient through the dynamic deviation curve; Step S314: confirming the local film thickness deviation amplitude of the effective signal waveform by the film thickness deviation inertia coefficient.

[0054] In an embodiment, during the pressure-sensitive adhesive coating process, when the film thickness indication signal of a certain segment deviates from the preset range, the continuous scanning signal of the segment is first processed. In the preferred embodiment, the signal waveform formed by the local film thickness indication signal within the continuous scanning time is regarded as the effective signal waveform. Specifically, the controller obtains the film thickness signal in continuous time sequence from the film acoustic resonance sensing tape, and filters each frame of signal to remove high-frequency noise and occasional abnormal points, thereby forming a smooth and reliable effective signal waveform.

[0055] Subsequently, the system analyzes based on the waveform extreme value and the waveform inflection point of the effective signal waveform. By identifying the positions of the peaks and valleys, the deviation peak value of the signal waveform within the scanning period is extracted, and the cumulative amount of deviation from the target film thickness value at each time point is calculated to obtain the cumulative deviation amount data. The cumulative deviation amount can reflect the accumulation trend of the film thickness deviation in the time dimension, providing a basis for subsequent dynamic adjustment.

[0056] According to the deviation peak value and the cumulative deviation amount, the controller generates a dynamic deviation curve. The dynamic deviation curve reflects the deviation degree and trend of the film thickness over time within the scanning period. Based on the curve, the film thickness deviation inertia coefficient is further calculated, which is used to quantify the inertia effect of the film thickness deviation, i.e., the delayed reaction and fluctuation amplitude of the film thickness deviation over time. The calculation of the film thickness deviation inertia coefficient can use the weighted average method or the sliding window integration method, considering the deviation peak value and the cumulative deviation amount, thereby obtaining a comprehensive inertia index.

[0057] Finally, the local film thickness deviation amplitude of the effective signal waveform is confirmed by the film thickness deviation inertia coefficient. This amplitude is used for the subsequent calculation of the angular displacement of the micro- eccentricity adjustment assembly and the valve control of the elastic fluid self-balancing unit, providing accurate input for the generation of the composite compensation data. In specific operations, the system records each segment film thickness deviation amplitude to the control database and updates the display interface in real time for the operator to monitor and verify.

[0058] It should be noted that, in order to ensure the accuracy of the deviation amplitude calculation, the continuous scanning time and the signal sampling frequency should be set according to the coating speed and the film thickness uniformity requirements. For example, the scanning time can be set to 0.5 to 2 seconds, and the sampling frequency is 200 to 500 Hz, so as to ensure that the dynamic deviation curve and the film thickness deviation inertia coefficient can truly reflect the actual film thickness change.

[0059] Preferably, the calculation of the film thickness deviation inertia coefficient by the dynamic deviation curve includes: extracting continuous deviation segment data from the dynamic deviation curve generated by the local film thickness indication signal to form a first deviation subset; for each deviation value in the first deviation subset, calculate the deviation change rate between its adjacent points, forming a second deviation subset; weight average the deviation change rates in the second deviation subset in time sequence, obtaining a deviation change trend value; map the deviation change trend value and the corresponding deviation amplitude comprehensively, obtaining a film thickness deviation inertia coefficient, wherein the film thickness deviation inertia coefficient is used to reflect the comprehensive characteristics of the amplitude and change trend of the film thickness deviation.

[0060] In an embodiment, first, continuous deviation segment data is extracted from the generated dynamic deviation curve. The continuous deviation segment data refers to the time period during which the film thickness deviation value continuously exceeds the preset threshold value in the scanning period. After extraction, a first deviation subset is formed, which can reflect the concentration trend of the film thickness deviation in time and provide basic data for deviation inertia analysis.

[0061] Subsequently, for each deviation value in the first deviation subset, the deviation change rate between its adjacent time points is calculated. The deviation change rate can be obtained by dividing the difference between adjacent deviation values by the time interval, thereby forming a second deviation subset. The second deviation subset can reflect the instantaneous change rate of the film thickness deviation and provide input for subsequent trend analysis.

[0062] Then, the deviation change rates in the second deviation subset are weight averaged in time sequence. The weight can be set according to the time sequence, for example, giving higher weight to recent deviation changes to highlight the importance of the current film thickness deviation trend. The value obtained by weight averaging is called the deviation change trend value, which reflects the overall change trend of the film thickness deviation in the time dimension.

[0063] Finally, the deviation change trend value and the corresponding deviation amplitude are mapped comprehensively to obtain the film thickness deviation inertia coefficient. This inertia coefficient is used to comprehensively reflect the amplitude and change trend characteristics of the film thickness deviation, and can be directly used for angular displacement calculation of the micro eccentricity adjustment assembly and local contact pressure adjustment of the elastic fluid self-balancing unit valve. Through this coefficient, the system can achieve dynamic, real-time, and fine compensation control of the coating film thickness deviation.

[0064] It should be noted that, in order to ensure the accuracy of the inertia coefficient calculation, the minimum length of the continuous deviation segment can be set to 0.5 to 2 seconds, and the calculation time interval of the deviation change rate is recommended to be in the range of 50 to 200 milliseconds to adapt to the requirements of coating speed and sensor sampling frequency.

[0065] Preferably, step S35 comprises the following steps: Step S351: obtaining the current actual angular displacement of the micro eccentricity adjustment assembly; determining the target angular displacement value of each mechanical segment according to the angular displacement adjustment control data of the micro eccentricity adjustment assembly; Step S352: difference calculation is performed on the target angular displacement value and the current actual angular displacement to form an angular displacement error set; Step S353: a corresponding valve operation instruction is generated according to the angular displacement error set, wherein the valve operation instruction includes an opening amount and a closing amount; Step S354: the corresponding valve operation instruction is used to synchronously drive the corresponding elastic fluid self-balancing unit valve to perform operation, and local contact pressure changes are collected in real time to form local pressure feedback data; Step S355: the angular displacement error data and the local pressure feedback data are fused to generate composite compensation data.

[0066] In an embodiment, to achieve accurate compensation of local film thickness deviation, first, the signal waveform formed by the local film thickness indication signal within a continuous scanning time is effectively extracted, and the deviation peak value and cumulative deviation amount are confirmed through the waveform extreme value and inflection point to obtain a dynamic deviation curve; based on the dynamic deviation curve, the deviation change rate of the continuous deviation section is calculated and weightedly averaged to form a film thickness deviation inertia coefficient, which is used to reflect the amplitude and change trend of the film thickness deviation, thereby determining the local film thickness deviation amplitude. On this basis, the target angular displacement value of each micro-eccentricity adjusting component is determined according to the deviation amplitude, and the target angular displacement is converted into a control instruction corresponding to the mechanical segment; the system triggers the micro-eccentricity adjusting component to perform angular displacement fine adjustment action in sequence through the control instruction, while collecting the film thickness indication signal in real time during the fine adjustment process, evaluating the correction effect of the angular displacement adjustment on the film thickness deviation, and gradually correcting the angular displacement of the micro-eccentricity adjusting component according to the influence degree to obtain angular displacement adjustment control data. Further, the operation instruction of the corresponding elastic fluid self-balancing unit valve is generated based on the angular displacement adjustment control data, the operation instruction includes the opening amount and the closing amount, and the valve is synchronously driven to perform local contact pressure adjustment; during the execution process, the system collects the local contact pressure change and the micro-eccentricity component angular displacement data in real time, fuses and calculates the angular displacement error and the pressure feedback data, and corrects the fine adjustment amplitude in combination with the film thickness deviation inertia coefficient, thereby generating final composite compensation data, including the fine adjustment angle of each mechanical segment, the valve opening / closing amount, the execution time and the compensation priority. After the compensation is completed, the system re-samples the film thickness to confirm, and if the local film thickness still does not reach the preset range, the above steps are repeated until all the film thickness deviations enter the standard range, while setting a safety threshold during the operation process, when the angular displacement or the pressure exceeds the limit value, the fine adjustment is immediately stopped and an alarm is given to ensure the safety of the equipment and the product. The data of the whole process, including the angular displacement change, the pressure feedback and the film thickness change curve, are saved to the production line control system for quality tracking, process optimization and subsequent algorithm tuning. The preferred settings include that the angular displacement sampling interval is 50 to 200 milliseconds, the valve execution period is 100 to 300 milliseconds, the pressure sensor measurement range is 0 to 5 megapascals, the film thickness deviation inertia coefficient weight is 0.6 to 0.8, and the maximum angular displacement fine adjustment amplitude is ±3 degrees, thereby ensuring the accuracy and stability of the compensation action.

[0067] Preferably, the synchronous driving of the corresponding elastic fluid self-balancing unit valve through the corresponding valve operation instruction includes: inputting the valve operation instruction into the valve control unit to obtain an analysis result of the valve number and operation amplitude corresponding to each instruction; generating a control signal sequence of each valve according to the analysis result to form a synchronous control data set; The synchronization control data set is sent to the actuators of the elastic fluid self-balancing unit valves to drive the valves to open or close according to the control signal sequence, adjust the fluid passage pressure, and realize local contact pressure regulation.

[0068] In an embodiment, the system inputs valve operation instructions from the central controller or coating process control module to the valve control unit. After receiving the instructions, the valve control unit parses each instruction to identify the specific valve number and the required operation amplitude, including the proportion, speed, and duration of opening or closing. During the parsing process, the system can use a valve number mapping table and a valve type database to map logical instructions to physical valve control parameters to ensure that the actions performed by each valve accurately correspond to the instruction requirements. After parsing is complete, the valve control unit generates a parsing result, including information such as the number of each valve, the target opening degree, the operation rate, and the operation time.

[0069] Next, the valve control unit generates control signal sequences for each valve based on the parsing result. The control signal sequence includes opening signals, closing signals, holding signals, and timing information for signal switching to ensure that multiple valves can respond synchronously. To ensure synchronization, the control unit can mark each control action in the signal sequence with a timestamp, or use a group control method to send valve signals for the same operation batch within the same time window. The generated control signal sequence ultimately forms a synchronization control data set that records the action state, amplitude, and action sequence of all valves and is verified in real time to ensure there are no logical conflicts or timing errors.

[0070] Subsequently, the valve control unit sends the synchronization control data set to the actuators of the elastic fluid self-balancing unit valves through the communication interface. After receiving the control signals, the actuators drive the corresponding valves to act according to the signal sequence, including opening or closing by the specified amplitude, adjusting the opening degree at the set speed, and maintaining the stability of the valve position after the operation is completed. The precise opening and closing control of the valves causes the fluid passage pressure to change accordingly, thereby realizing local contact pressure regulation and ensuring that the pressure distribution between the coating blade and the substrate is uniform and meets the preset process requirements.

[0071] In a further preferred embodiment, the valve control unit can monitor the valve execution state in real time and feed back the actual opening degree of the valve, the fluid pressure, and the response delay to the central controller. The system makes closed-loop corrections to the control signals based on the feedback data to ensure the accuracy of valve opening and closing and can automatically compensate for errors caused by valve response lag or fluid pressure fluctuations, thereby improving the accuracy and stability of local contact pressure regulation.

[0072] It should be noted that in actual operation, the action amplitude and rate of each valve can be optimized according to different coating film thickness, doctor blade width and substrate rigidity. For example, for areas with large variation in film thickness, the valve opening adjustment amplitude can be appropriately increased; for sensitive areas, slow opening and closing can be used to avoid pressure fluctuations. Through the above method, the system can realize the synchronous cooperation of multiple valves, form precise local pressure control, and realize closed-loop optimization of the coating process.

[0073] Preferably, after realizing local contact pressure adjustment, it further comprises: During valve execution, real-time acquisition of valve action feedback, including actual opening, execution speed and pressure change, forms a valve state data set; Compare the valve state data with the valve operation instruction to confirm the consistency of valve action control.

[0074] In an embodiment, during valve execution, the system acquires real-time feedback information of each valve through sensors installed on the elastic fluid self-balancing unit valve. The feedback information includes the actual opening of the valve, the execution speed of the valve and the pressure change of the fluid channel where the valve is located. The actual opening of the valve can be obtained through a position sensor or an encoder, the execution speed can be calculated by the derivative of the valve opening with respect to time, and the pressure change can be measured in real time by a fluid pressure sensor. All collected data form a valve state data in time sequence and are stored in the cache of the valve control unit, while a valve state data set is generated, including the number of each valve, the collection timestamp, the opening, the speed and the pressure information.

[0075] Subsequently, the system compares the real-time acquired valve state data with the corresponding valve operation instruction. During the comparison process, the system first maps and matches the target opening, operation rate and action time specified in the valve operation instruction with the valve state data, ensuring that each feedback data corresponds to the correct operation instruction. Then, by calculating the deviation of the actual opening from the target opening, the deviation of the actual speed from the target speed, and the deviation of the actual pressure from the expected pressure, a valve action consistency evaluation index is generated. The evaluation index can include deviation amplitude, deviation rate and duration, etc., which is used to judge whether the valve execution meets the preset accuracy requirement.

[0076] In a preferred embodiment, when the deviation exceeds the preset threshold, the system can trigger closed-loop control and dynamically modify the valve operation signal. Specifically, the valve control unit can automatically adjust the amplitude of the valve control signal or change the opening and closing rate of the valve according to the deviation size, so as to reduce the difference between the actual action and the target action. At the same time, the system can optimize multiple valves synchronously to avoid local pressure fluctuations caused by single valve compensation and ensure the uniformity of the contact pressure in the entire coating area.

[0077] In addition, the system can periodically record and statistically analyze the valve state data to generate a valve execution performance curve. Through trend analysis of historical data, the valve operation instructions can be further optimized, for example, for valves with large response lags or pressure fluctuations, the operation parameters can be adjusted in advance to achieve early compensation.

[0078] It should be noted that in actual operation, the sampling frequency of valve state data can be set according to the requirements of the coating process, for example, collecting once every 50 to 200 milliseconds to ensure that subtle changes during the rapid response of the valve can be captured. The valve action consistency evaluation threshold can be set according to the film thickness control accuracy requirements, for example, the opening deviation is not more than 0.5%, the execution speed deviation is not more than 5%, and the pressure deviation is not more than 1 kilopascal. Through the above steps, the system can monitor the valve execution in real time, ensure the local contact pressure regulation accuracy, and realize the closed-loop control of the coating process.

[0079] Preferably, comparing the valve state data with the valve operation instructions to confirm the valve action control consistency includes: arranging the valve state data according to the valve number and time stamp into a state time sequence, and corresponding to the opening, execution speed and pressure target values in the valve operation instructions to form an instruction target time sequence; point-by-point comparing the state time sequence with the instruction target time sequence, calculating the deviation values of each key indicator, and determining whether the valve action reaches the control target according to the preset tolerance threshold.

[0080] In an embodiment, the real-time collected valve state data is arranged according to the valve number and collection time stamp to form a state time sequence for each valve. The state time sequence includes valve number, collection time, actual opening, actual execution speed, and actual fluid pressure information. In order to ensure the accuracy and continuity of the data, data filtering or interpolation methods can be used during the state data collection process to process missing or abnormal sampling points and generate a complete state time sequence.

[0081] At the same time, the opening, execution speed and pressure target values in the valve operation instructions are arranged according to the same time reference to form an instruction target time sequence. Each operation instruction contains valve number, expected action start time, expected opening, expected execution speed and pressure target value. By one-to-one corresponding the state time sequence and the instruction target time sequence at each time point, the actual state and the target instruction at each sampling time point can be accurately aligned.

[0082] Subsequently, the system point-by-point compares the state value and the instruction target value at each time point. Specifically: calculating the deviation of the actual opening and the target opening at each time point to generate an opening deviation sequence; Calculate the deviation of actual execution speed from target speed at each time point, and generate a speed deviation sequence; Calculate the deviation of actual pressure from target pressure at each time point, and generate a pressure deviation sequence.

[0083] In the preferred embodiment, preset tolerance thresholds are set for opening, speed and pressure deviations, for example: opening deviation not exceeding 0.5% of full opening, speed deviation not exceeding 5%, and pressure deviation not exceeding 1 kPa. The system compares each deviation value with the corresponding threshold to determine whether each valve meets the control target at each time point, and generates a valve action consistency judgment result. The judgment result can be represented in Boolean or ranking form, such as consistent, slight deviation or significant deviation.

[0084] Further, the system can calculate the average deviation, maximum deviation and deviation duration of each valve during the entire action period based on time series deviation statistical analysis, and generate a valve action performance report. For valves with deviations exceeding the tolerance threshold, a closed-loop control strategy can be triggered, such as automatically adjusting the control signal amplitude, changing the opening and closing rate, or compensating for continuous action sequences to ensure that the overall valve action meets the control requirements.

[0085] It should be noted that, in order to ensure the accuracy of the valve action comparison, the state data and the instruction target data should be sampled in the same time interval, for example, collected once every 50 to 200 milliseconds, to capture the subtle changes in the rapid response of the valve. At the same time, the deviation judgment can be combined with moving average or weighted filtering method to avoid false judgment caused by short-term disturbance. Through the above steps, it can be confirmed in real time whether the valve action control is consistent, and a reliable basis is provided for the subsequent closed-loop control of the coating process.

[0086] Preferably, the plurality of independent mechanical segments in step S1 are arranged along the width direction below the contact surface of the coating blade and the substrate, comprising: According to the coating width and the preset number of segments, a plurality of independent mechanical segments are evenly or as needed arranged along the width direction below the contact surface of the coating blade and the substrate, and each segment has a width of 30 to 100 mm. Each mechanical segment is installed below the blade by a fixed support or a guide mechanism, so that it can independently support the contact surface of the blade; a micro-eccentric adjustment assembly is installed on each mechanical segment, wherein the rotation adjustment angle range of the micro-eccentric adjustment assembly is ±2° to ±10°, and it is fixed by a bolt or an embedded support to allow angular displacement fine adjustment along the rotation axis. An elastic fluid self-balancing unit is arranged in each mechanical segment, and the working pressure of the liquid or gas is 0.05 to 0.5 MPa, which is connected by a pipeline or integrated into the mechanical segment.

[0087] In an embodiment, a plurality of independent mechanical segments are arranged along the width direction of the coating blade according to the coating width and the preset number of segments. The width of each mechanical segment can be 30-100 mm to ensure that the blade can uniformly apply pressure and adapt to the slight height variations of the substrate in each segment area. The number of segments can be set according to the coating width, the film thickness uniformity requirement, and the process precision, for example, 10-20 segments can be arranged on a blade with a width of 1 m.

[0088] Each mechanical segment is installed below the blade through a fixed support or a guide mechanism, which can independently support the contact surface of the blade and realize independent adjustment between segments. The micro-eccentric adjustment assembly on the mechanical segment is used for angular displacement fine adjustment, and the rotation angle range of each micro-eccentric adjustment assembly is set to ±2°-±10°. The assembly is fixed through a bolt or an embedded support, and can realize accurate angular displacement adjustment along the rotation axis to compensate for film thickness unevenness or substrate thickness deviation.

[0089] Inside each mechanical segment, an elastic fluid self-balancing unit is arranged, and the working medium can be a liquid or a gas. The working pressure is set in the range of 0.05-0.5 MPa. The elastic fluid self-balancing unit is connected through a pipeline or integrated inside the mechanical segment, which is used to automatically adjust according to the contact pressure between the blade and the substrate during coating, realize self-adaptive adjustment of local contact pressure, and improve the coating film thickness uniformity.

[0090] During installation, the height of each mechanical segment and the micro-eccentric adjustment assembly need to be calibrated in advance to ensure that the blade is approximately parallel to the substrate surface in the initial state. After installation, the micro-eccentric adjustment assembly can be set for initial angular displacement through teaching or automatic calibration, and the elastic fluid self-balancing unit can be calibrated for pressure to ensure the synchronicity and controllability of each segment under process load.

[0091] In the above manner, each mechanical segment can independently adjust the local angular displacement of the blade and realize local pressure optimization through the self-balancing unit, thereby providing a basic condition for subsequent real-time detection and fine adjustment of the coating film thickness, and ensuring the overall uniformity and stability of the coating film thickness.

[0092] Especially important is that generating the control signal sequence of each valve according to the analysis result further includes: preliminarily numbering and sorting the action requirements of each valve in the analysis result to generate a valve action mapping table; generating a preliminary draft of the time sequence of the valve control signal according to the valve action mapping table; fine-tuning the preliminary draft control signal to obtain a fine-tuned signal sequence; integrating the fine-tuned signal sequence to generate the control signal sequence of each valve.

[0093] In an embodiment, the action requirements of each valve in the analysis result are initially numbered and sequenced. The valve numbers can be determined according to the installation order in the production line or the physical position of the valve, for example, numbered in order from left to right or from front to back, to generate a valve action mapping table. The mapping table records the number of each valve, the action type (opening or closing), the target opening degree, and the action priority, so as to reference the sequence and dependency when generating subsequent control signals.

[0094] Then, a preliminary draft of the time sequence of valve control signals is generated according to the valve action mapping table. In the preliminary draft of the time sequence, each signal corresponds to the target opening degree of the valve and the start and end times of the action, and the intervals between signals can be set according to the valve response time, for example, a delay of 50 to 200 milliseconds for each action, to ensure that the valve actuator can fully respond to the control signal. The preliminary draft of the time sequence can also adjust the signal order according to the valve action priority to ensure that critical valves are executed first to maintain system stability.

[0095] Next, the preliminary draft control signal is fine-tuned for mutual exclusion of adjacent valves. Adjacent valves refer to valves that are adjacent in physical position or fluid channel, and simultaneous opening or closing is avoided to generate fluid impact or pressure fluctuation. Fine-tuning includes slightly staggering the start and end times of adjacent valve actions, for example, a delay of 5 to 20 milliseconds, or fine-tuning the action amplitude, to generate a fine-tuned signal sequence. During the fine-tuning process, sensor feedback historical data can also be combined to preventively adjust valve actions that may cause interference.

[0096] Finally, the fine-tuned signal sequence is integrated into a sequence to generate a control signal sequence for each valve. During the integration process, the fine-tuned signals of all valves are arranged in chronological order to ensure signal continuity and system response synchronization, while labeling each signal with the corresponding valve number, action amplitude, and target pressure, to achieve controllable, coordinated, and synchronized driving of each valve. The final control signal sequence can be directly issued to the valve actuator to achieve the completion of actions by each valve according to the preset strategy and order.

[0097] Especially important is that fine-tuning of the preliminary draft control signal for mutual exclusion of adjacent valves also includes: Obtain the spatial topology and fluid pipe layout of each valve, and identify the set of adjacent valves for each valve to generate an adjacent relationship mapping table; For adjacent valves that are simultaneously opened or closed in the preliminary draft control signal, calculate the amount of action time overlap and mark them as conflict control sections; For the conflict control sections, adjust the micro-time offset of the valve control signal according to the adjacent relationship mapping table to obtain a fine-tuned signal sequence.

[0098] In one embodiment, the spatial topology of each valve in the production line and the fluid piping layout information are acquired. The valve spatial topology includes the installation position coordinates and relative position relationship of the valve in the coating blade or mechanical segment system, and the fluid piping layout includes the pipes connected to the valve, the fluid passages and the fluid communication relationship therebetween. Based on these information, the neighboring valve set of each valve, i.e. the valve set that can cause interference in space or fluid passage, is identified, and a neighboring relationship mapping table is formed. The mapping table records each valve number and its corresponding neighboring valve number set, which is used for subsequent control signal fine-tuning reference.

[0099] Secondly, the action time overlap amount of the adjacent valves simultaneously opened or closed in the preliminary draft control signal is calculated. The action time overlap amount is the time length of the adjacent valves performing the opening or closing action in the same time period. If the overlap amount exceeds a preset threshold, for example, 10 to 50 milliseconds, it is determined as a conflict control section, and is marked in the signal sequence. The marking is used to prompt the signal section that needs to be fine-tuned, so as to avoid the fluid pressure fluctuation or local contact pressure abnormality caused by the simultaneous action of the valves.

[0100] Subsequently, for the marked conflict control section, the fine time offset of the valve control signal is adjusted according to the neighboring relationship mapping table. The specific operation includes delaying or advancing the action start time of certain valves in the conflict section by 5 to 20 milliseconds, or performing a fine adjustment on the action amplitude, so as to reduce the interference caused by the simultaneous action. Through the fine-tuned control signal, a fine-tuned signal sequence is generated, wherein each signal contains the valve number, the adjusted action start and end time, the target opening degree and the action amplitude, etc., so as to ensure that the adjacent valves do not interfere with each other during the system execution.

[0101] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, the scope of the present application being defined by the appended claims and not by the above description, so as to intend to include all the variations falling within the meaning and scope of the equivalent elements of the application file.

[0102] The above description is merely one specific implementation of the present application, which enables those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A control method based on a pressure-sensitive adhesive production line, characterized in that, Includes the following steps: Step S1: Several independent mechanical segments are set along the width direction below the contact surface between the coating blade and the substrate, and each segment is equipped with a micro-eccentric adjustment component and an elastic fluid self-balancing unit; Step S2: Set at least one thin-film acoustic resonance sensing strip on the scraper, and generate a local film thickness indication signal based on the detection of the coating film thickness by the thin-film acoustic resonance sensing strip. Step S3: When the local film thickness indication signal deviates from the preset range, drive the micro-eccentric adjustment component of the corresponding mechanical segment to make angular displacement fine adjustment, and at the same time open or close the valve of the corresponding elastic fluid self-balancing unit to adjust the local contact pressure, so as to obtain composite compensation data. Step S4: Repeat steps S2-S3 until all film thickness indication signals are within the preset range, and save the corresponding composite compensation data for coating process control of the pressure-sensitive adhesive production line.

2. The control method based on a pressure-sensitive adhesive production line according to claim 1, characterized in that, Step S3 includes the following steps: Step S31: When the local film thickness indication signal deviates from the preset range, confirm the local film thickness deviation range based on the local film thickness indication signal; Step S32: Determine the target angular displacement value of the micro-eccentricity adjustment component based on the local film thickness deviation, and convert the target angular displacement value into control commands for the corresponding segmented mechanical structure; Step S33: The micro-eccentricity adjustment components are triggered sequentially by control commands to perform angular displacement fine-tuning actions; Step S34: During the fine-tuning process, the film thickness indication signal is collected in real time to confirm the degree of influence of the angular displacement adjustment on the film thickness deviation, and the angular displacement of the micro-eccentric adjustment component is gradually corrected according to the degree of influence to obtain the angular displacement adjustment control data. Step S35: Based on the angular displacement adjustment control data, simultaneously open or close the corresponding elastic fluid self-balancing unit valve to adjust the local contact pressure and obtain composite compensation data.

3. The control method based on a pressure-sensitive adhesive production line according to claim 2, characterized in that, Step S31 includes the following steps: Step S311: The signal waveform formed by the local film thickness indication signal during the continuous scanning time is taken as the effective signal waveform; Step S312: Based on the waveform extreme values ​​and waveform inflection points of the valid signal waveform, confirm the deviation peak value and cumulative deviation of the valid signal waveform; Step S313: Obtain the dynamic deviation curve based on the deviation peak and the cumulative deviation, and calculate the film thickness deviation inertia coefficient through the dynamic deviation curve; Step S314: Confirm the local film thickness deviation amplitude of the effective signal waveform by measuring the film thickness deviation from the inertia coefficient.

4. The control method based on a pressure-sensitive adhesive production line according to claim 3, characterized in that, The film thickness deviation inertia coefficient is calculated using the dynamic deviation curve, including: Continuous deviation segment data are extracted from the dynamic deviation curve generated by the local film thickness indication signal to form the first deviation subset; For each deviation value in the first deviation subset, calculate the rate of change of deviation between its adjacent points to form the second deviation subset; The deviation change rate within the second deviation subset is weighted and averaged in time order to obtain the deviation change trend value. By mapping the deviation trend value to the corresponding deviation magnitude, the film thickness deviation inertia coefficient is obtained. The film thickness deviation inertia coefficient is used to reflect the comprehensive characteristics of the magnitude and trend of film thickness deviation.

5. The control method based on a pressure-sensitive adhesive production line according to claim 2, characterized in that, Step S35 includes the following steps: Step S351: Obtain the current actual angular displacement of the micro-eccentricity adjustment component; determine the target angular displacement value of each mechanical segment based on the angular displacement adjustment control data of the micro-eccentricity adjustment component. Step S352: Calculate the difference between the target angular displacement value and the current actual angular displacement to form an angular displacement error set; Step S353: Generate the corresponding valve operation command based on the angular displacement error set, wherein the valve operation command includes opening amount and closing amount; Step S354: Synchronously drive the corresponding elastic fluid self-balancing unit valve to perform operation through the corresponding valve operation command, and collect local contact pressure changes in real time to form local pressure feedback data; Step S355: Fuse the angular displacement error data with the local pressure feedback data to generate composite compensation data.

6. The control method based on a pressure-sensitive adhesive production line according to claim 5, characterized in that, The corresponding valve operation command synchronously drives the corresponding elastic fluid self-balancing unit valve to perform the following operations: The valve operation command is input into the valve control unit to parse the valve number and operation range corresponding to each command and obtain the parsing result; Based on the analysis results, a control signal sequence for each valve is generated, forming a synchronous control dataset. The synchronous control dataset is sent to the actuators of the valves in each elastic fluid self-balancing unit to drive the valves to open or close according to the control signal sequence, adjust the fluid channel pressure, and achieve local contact pressure regulation.

7. The control method based on a pressure-sensitive adhesive production line according to claim 6, characterized in that, After achieving local contact pressure regulation, it also includes: During valve operation, the action feedback of each valve is collected in real time, including the actual opening degree, execution speed and pressure changes, to form a valve status dataset; The valve status data is compared with the valve operation commands to confirm the consistency of valve action control.

8. The control method based on a pressure-sensitive adhesive production line according to claim 7, characterized in that, Comparing valve status data with valve operation commands to confirm the consistency of valve action control includes: The valve status data is organized into a status time series according to the valve number and timestamp, and then matched with the preset opening degree, execution speed and pressure target values ​​in the valve operation command to form a command target time series; The system compares the state time series with the command target time series point by point, calculates the deviation value of each key indicator, and determines whether the valve action has achieved the control target based on the preset tolerance threshold.

9. The control method based on a pressure-sensitive adhesive production line according to claim 1, characterized in that, Step S1 involves setting several independent mechanical segments along the width direction below the contact surface between the coating blade and the substrate, including: Along the width direction below the contact surface between the coating blade and the substrate, several independent mechanical segments are set evenly or as needed, depending on the coating width and the preset number of segments. Each segment has a width of 30 to 100 mm. Each mechanical segment is mounted below the scraper via a fixed bracket or guide mechanism, enabling it to independently support the scraper contact surface. A micro-eccentricity adjustment component is installed on each mechanical segment, wherein the rotation adjustment angle range of the micro-eccentricity adjustment component is ±2°~±10°, and it is fixed by bolts or embedded support, allowing it to be finely adjusted in angular displacement along the rotation axis. An elastic fluid self-balancing unit is arranged in each mechanical section. The working pressure of the liquid or gas is 0.05 to 0.5 MPa. It is connected to or integrated into the mechanical section through pipelines.

10. A control system based on a pressure-sensitive adhesive production line, characterized in that, For executing the control method based on a pressure-sensitive adhesive production line as described in claim 1, the control system based on the pressure-sensitive adhesive production line includes: The mechanism setting module is used to set several independent mechanical segments along the width direction below the contact surface between the coating blade and the substrate, wherein each segment is equipped with a micro-eccentric adjustment component and an elastic fluid self-balancing unit; The signal acquisition module is used to set at least one thin-film acoustic resonance sensing strip on the scraper and generate a local film thickness indication signal based on the detection of the coating film thickness by the thin-film acoustic resonance sensing strip. The control optimization module is used to drive the micro-eccentric adjustment component of the corresponding mechanical segment to make angular displacement fine adjustment when the local film thickness indication signal deviates from the preset range, and at the same time open or close the valve of the corresponding elastic fluid self-balancing unit to adjust the local contact pressure, so as to obtain composite compensation data. The control loop module is used to repeat the operation of the signal acquisition module and the control optimization module until all film thickness indication signals have entered the preset range, and save the corresponding composite compensation data for coating process control of the pressure-sensitive adhesive production line.

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