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

Abstract

This invention relates to the field of production control technology, and more particularly to a control system and method for a pressure-sensitive adhesive production line. The method includes the following steps: Independent mechanical segments are set along the width direction under the coating doctor blade, each segment equipped with a micro-eccentric adjustment component and an elastic fluid self-balancing unit; a thin-film acoustic resonance sensing strip is arranged on the doctor blade to detect the film thickness in real time and generate local indication signals. When the local film thickness deviates from the preset range, the micro-eccentric adjustment component is driven to perform angular displacement fine-tuning, and simultaneously the valve of the elastic fluid self-balancing unit is opened or closed to adjust the local pressure, forming composite compensation data. This process is repeated cyclically until all film thickness signals meet the preset range. This invention achieves high precision, uniformity, rapid response, and intelligent management of the coating film thickness in a pressure-sensitive adhesive production line through a composite closed-loop control of independent mechanical segments, micro-eccentric adjustment components, and an elastic fluid self-balancing unit, thereby improving product quality, production stability, and process controllability.

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 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 inability to achieve fine segmentation control in the width direction of the doctor blade, local over-thickness or under-thickness areas may occur 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:

[0005] Step S1: arranging 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;

[0006] Step S2: arranging at least one thin film acoustic resonance sensing strip on the doctor blade, and generating a local film thickness indication signal according to the film thickness detected by the thin film acoustic resonance sensing strip;

[0007] Step S3: when the local film thickness indication signal deviates from the preset range, driving the micro-eccentric adjustment component of the corresponding mechanical segment to perform angular displacement fine adjustment, and simultaneously opening or closing the valve of the corresponding elastic fluid self-balancing unit to adjust the local contact pressure, to obtain composite compensation data;

[0008] Step S4: repeating steps S2-S3 until all film thickness indication signals enter the preset range, and saving the corresponding composite compensation data for coating process control of the pressure-sensitive adhesive production line.

[0009] 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:

[0010] 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.

[0011] a signal acquisition module, 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;

[0012] a control optimization module, configured to drive the micro-eccentricity adjustment assembly of the corresponding mechanical segment to perform angular displacement fine adjustment, and simultaneously open or close the valve of the corresponding elastic fluid self-balancing unit to perform local contact pressure adjustment, when the local film thickness indication signal deviates from a preset range, to obtain composite compensation data;

[0013] a control cycle module, 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.

[0014] The present application has the following beneficial effects:

[0015] 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, make the film thickness distribution more uniform, significantly improve the coating quality of the pressure-sensitive adhesive product, and at the same time reduce the scrap rate and material waste caused by film thickness fluctuation.

[0016] II. Combined with real-time monitoring of film thickness data by the film acoustic resonance sensing belt, and closed-loop fine adjustment control of the dynamic deviation curve and the 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.

[0017] 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, and reliable composite compensation data is provided 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

[0018] Figure 1 is a step flowchart of a control method based on a pressure-sensitive adhesive production line;

[0019] Figure 2 is Figure 1 is a detailed implementation step flowchart of step S3 in the middle;

[0020] Figure 3 A mechanical structure schematic diagram of a control method based on a pressure-sensitive adhesive production line according to the present application;

[0021] The implementation, functional features and advantages of the present application will be further described with reference to the embodiments in conjunction with the accompanying drawings. DETAILED DESCRIPTION

[0022] The technical method of the present application will be described clearly and completely below in conjunction with 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.

[0023] In addition, the accompanying drawings are only schematic illustrations of the present application, and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus repeated description thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different network and / or processor methods and / or microcontroller methods.

[0024] 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, without departing from the scope of the exemplary embodiments, a first element can be referred to as a second element, and similarly a second element can be referred to as a first element. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0025] To achieve the above-mentioned purpose, please refer to Figures 1 to 3 A control method based on a pressure-sensitive adhesive production line, the method comprising the following steps:

[0026] Step S1: A plurality of independent mechanical segments are arranged along the width direction below the contact surface of 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;

[0027] 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 of 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.

[0028] In each independent mechanical segment, a micro- eccentricity adjusting assembly is equipped. The micro- eccentricity adjusting assembly includes an eccentric shaft, a stepping micro- motor and a precision adjusting 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 angular 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 can be realized.

[0029] 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.

[0030] The micro- eccentricity adjusting assembly and the elastic fluid self- balancing unit jointly act, so that each segment has controllable mechanical adjusting ability and self- adaptive buffering ability. Through this composite design, the partition accurate control of the coating pressure and the gap can be realized in the full width range, and the uniformity and yield of the coating can be effectively improved.

[0031] It should be noted that under different coating material systems, the segment width, eccentricity adjusting 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.

[0032] Step S2: at least one thin film acoustic resonance sensing strip is arranged on the scraper, and a local film thickness indication signal is generated according to the detection of the thin film acoustic resonance sensing strip;

[0033] In an embodiment, at least one thin film acoustic resonance sensing strip 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.

[0034] 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 strip, causing changes in the resonance frequency and amplitude. The thin film acoustic resonance sensing strip detects the acoustic characteristic changes caused by the film thickness in real time, and converts the change signal into an electrical signal output.

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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 adjust the angular displacement, and the valve of the corresponding elastic fluid self-balancing unit is opened or closed to adjust the local contact pressure, and the composite compensation data is obtained;

[0040] In an embodiment, the system receives the local film thickness indication signals output from the several 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.

[0041] In some embodiments, the system calculates the preliminary angular displacement command and the pressure adjustment command based on the film thickness deviation (taking a positive value indicates that the film thickness is too large, and a negative value indicates that the film thickness is too small) The angular displacement command is calculated according to the following formula: wherein is the angle gain coefficient, is the recommended micro- eccentricity angular displacement; the pressure adjustment command is calculated according to the following formula: wherein 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 excessive adjustment, the controller applies upper and lower limit constraints to and and introduces a rate limit to ensure smoothness.

[0042] 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 tuning dead zone threshold is exceeded, both are zero to avoid frequent perturbations; when the fine tuning 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.

[0043] 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 tuning; the solenoid or proportional valve of the elastic fluid self-balancing unit adjusts the opening 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.

[0044] For example, the execution sequence can be parallel or serial: the preferred parallel strategy is to simultaneously start the micro-eccentricity angular displacement and the valve adjustment to achieve faster local compensation; the serial strategy is to first perform the angular displacement fine tuning, 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.

[0045] 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.

[0046] 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.

[0047] Pressure adjustment range MPa, minimum adjustable step Reason: The elastic fluid self-balancing unit is usually sensitive to small pressure changes, 0.15 MPa is sufficient to produce a significant change in contact force, and step refinement can ensure smooth transition.

[0048] Fine-tuning dead zone Micron, trigger threshold Micron; Reason: There is noise and short-term fluctuation in film thickness measurement, setting a dead zone can avoid unnecessary micro-movement caused by noise, and the trigger threshold ensures that action is taken only when there is a significant deviation from the process target.

[0049] Steady-state waiting time , closed-loop sampling period Reason: The film thickness needs some time to reach a new steady state after fine-tuning, and sampling within 50 ms ensures that the response is observable and does not overload the controller's calculations.

[0050] 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 film thickness after adjustment has not returned to the target range within the steady-state time window, it is determined that the segment has entered an "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.

[0051] 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. minimizes the sum of squares of film thickness deviation within the future time window) to obtain the optimal and , thereby reducing oscillation and improving convergence speed.

[0052] 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 at the same time and the directions are opposite or the valve opening degree change is large, the controller reallocates the adjustment task according to priority or through a coordination algorithm to ensure the overall coating stability. The controller also records the energy consumption and execution time of each adjustment to optimize the trade-off between angular displacement and pressure dominance in subsequent adjustments.

[0053] 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 The input-output data estimation system is used to estimate the local response gain of the execution amount pair, so as to realize gain self-adaptation and improve long-term control accuracy.

[0054] 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.

[0055] 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 scraper, 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 for the segment where the measurement point is located again until the film thickness returns to the target range.

[0056] After each cycle, the film thickness deviation, angular displacement adjustment, valve opening adjustment, 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.

[0057] In a further embodiment, the system can be pre-set with an upper limit of the number of cycles, and when the film thickness signal 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.

[0058] 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.

[0059] In a preferred embodiment, the composite compensation data can also be uploaded to the central monitoring system of the pressure-sensitive adhesive production line, 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.

[0060] 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.

[0061] As an example of the present application, refer to Figure 2 In this example, the step S3 includes:

[0062] 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;

[0063] 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;

[0064] Step S33: Trigger each micro eccentric adjustment assembly to perform angular displacement fine-tuning action in sequence through the control instructions;

[0065] Step S34: Real-time acquisition of film thickness indication signal during fine-tuning process, confirmation of influence degree of angular displacement adjustment on film thickness deviation, and gradual correction of angular displacement of micro eccentric adjustment assembly according to influence degree, to obtain angular displacement adjustment control data;

[0066] 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.

[0067] 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).

[0068] 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 for the mechanical execution unit, including driving motor action direction, rotation angle and execution speed, etc.

[0069] After the control instruction is generated, the system triggers each micro-eccentricity adjusting component to perform an angular displacement fine-tuning action in sequence. During the fine-tuning process, the driving module slowly rotates the eccentric component at a set angular velocity, so that the contact height and pressure of the blade segments are gradually adjusted to avoid overshoot or oscillation of the film thickness.

[0070] At the same time of the angular displacement fine-tuning, the system collects the film thickness indication signal in real time to monitor the correction effect of the fine-tuning action on the film thickness deviation. The controller compares the film thickness value after each fine-tuning 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-tuning angle, adjustment step, film thickness change amount, and real-time correction record of each segment.

[0071] 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 blade segments in contact with the substrate, thereby further compensating for the film thickness deviation. Through the linkage of mechanical fine-tuning 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.

[0072] 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 multiple rounds of film thickness adjustment actions to ensure the stability of the blade segment adjustment and the uniformity of the film thickness, and to avoid the impact of local over-adjustment on the overall coating quality.

[0073] It should be noted that in actual application, the angular displacement fine-tuning 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 precision requirements to ensure precise and stable film thickness control under different production conditions.

[0074] Preferably, step S31 comprises the following steps:

[0075] Step S311: taking the signal waveform formed by the local film thickness indication signal within the continuous scanning time as an effective signal waveform;

[0076] 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;

[0077] Step S313: Obtain a dynamic deviation curve according to the deviation peak value and the cumulative deviation amount, and calculate the film thickness deviation inertia coefficient through the dynamic deviation curve;

[0078] Step S314: Confirm the local film thickness deviation amplitude of the effective signal waveform through the film thickness deviation inertia coefficient.

[0079] 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 a 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 belt, and performs filtering processing on each frame of signal to remove high-frequency noise and incidental abnormal points, thereby forming a smooth and reliable effective signal waveform.

[0080] 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 troughs, 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, thereby obtaining 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.

[0081] 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 with respect to 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 with respect to time. The calculation of the film thickness deviation inertia coefficient can adopt a weighted average method or a sliding window integration method, considering the deviation peak value and the cumulative deviation amount, thereby obtaining a comprehensive inertia index.

[0082] Finally, the local film thickness deviation amplitude of the effective signal waveform is confirmed through the film thickness deviation inertia coefficient. This amplitude is used for the calculation of the angular displacement of the subsequent 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 will record the film thickness deviation amplitude of each segment into the control database and update the display interface in real time, for the operator to monitor and verify.

[0083] 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, thereby ensuring that the dynamic deviation curve and the film thickness deviation inertia coefficient can truly reflect the actual film thickness change.

[0084] Preferably, the film thickness deviation inertia coefficient calculated by the dynamic deviation curve includes:

[0085] The continuous deviation segment data is extracted from the dynamic deviation curve generated from the local film thickness indication signal to form a first deviation subset;

[0086] For each deviation value in the first deviation subset, the deviation change rate between adjacent points is calculated to form a second deviation subset;

[0087] The deviation change rate in the second deviation subset is weighted and averaged in time sequence to obtain a deviation change trend value;

[0088] The deviation change trend value and the corresponding deviation amplitude are comprehensively mapped to obtain the 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.

[0089] In an embodiment, first, the continuous deviation segment data is extracted from the generated dynamic deviation curve. The continuous deviation segment data refers to the time period in which the film thickness deviation value continuously exceeds the preset threshold value within 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.

[0090] Subsequently, for each deviation value in the first deviation subset, the deviation change rate between 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.

[0091] Then, the deviation change rates in the second deviation subset are weighted and 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 weighted averaging is called the deviation change trend value, which reflects the overall change trend of the film thickness deviation in the time dimension.

[0092] Finally, the deviation change trend value and the corresponding deviation amplitude are comprehensively mapped 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 regulation 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.

[0093] 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.

[0094] Preferably, the step S35 comprises the following steps:

[0095] Step S351: obtaining the current actual angular displacement of the micro- eccentricity adjusting assembly; determining the target angular displacement value of each mechanical segment according to the angular displacement adjustment control data of the micro- eccentricity adjusting assembly;

[0096] Step S352: calculating the difference between the target angular displacement value and the current actual angular displacement to form an angular displacement error set;

[0097] Step S353: generating corresponding valve operation instructions according to the angular displacement error set, wherein the valve operation instructions include opening amount and closing amount;

[0098] Step S354: synchronously driving the corresponding elastic fluid self- balancing unit valve to perform operation through the corresponding valve operation instructions, and collecting the local contact pressure change in real time to form local pressure feedback data;

[0099] Step S355: fusing the angular displacement error data and the local pressure feedback data to generate composite compensation data.

[0100] 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, and simultaneously collects the film thickness indication signal in real time during the fine adjustment process, evaluates the correction effect of the angular displacement adjustment on the film thickness deviation, and gradually corrects 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, corrects the fine adjustment amplitude in combination with the film thickness deviation inertia coefficient, and thereby generates the 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 and confirms that the local film thickness has reached the preset range, if not, the above steps are repeated until all the film thickness deviations enter the standard range, and at the same time, a safety threshold is set 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.

[0101] Preferably, the synchronous driving of the corresponding elastic fluid self-balancing unit valve through the corresponding valve operation instruction includes:

[0102] 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;

[0103] Generating a control signal sequence of each valve according to the analysis result to form a synchronous control data set;

[0104] 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.

[0105] 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.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] Preferably, after realizing local contact pressure adjustment, it further comprises:

[0111] During valve execution, real-time acquisition of valve action feedback, including actual opening, execution speed and pressure change, forms a valve state data set;

[0112] Compare the valve state data with the valve operation instructions to confirm the consistency of valve action control.

[0113] 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, and a valve state data set is generated, including the number of each valve, the collection timestamp, the opening, the speed and the pressure information.

[0114] Subsequently, the system compares the real-time collected valve state data with the corresponding valve operation instructions. During the comparison process, the system first maps and matches the target opening, operation rate and action time specified in the valve operation instructions 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 precision requirement.

[0115] In a preferred embodiment, when the deviation exceeds a preset threshold, the system can trigger closed-loop control to dynamically correct the valve operation signal. Specifically, the valve control unit can automatically adjust the amplitude of the valve control signal or change the valve opening and closing rate according to the size of the deviation, so as to reduce the difference between the actual action and the target action. At the same time, the system can optimize the state data of multiple valves synchronously to avoid local pressure fluctuations caused by single valve compensation and ensure the uniformity of contact pressure in the entire coating area.

[0116] 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 instruction can be further optimized, for example, for valves with large response lag or pressure fluctuations, the operation parameters can be adjusted in advance to achieve early compensation.

[0117] 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 in the rapid response process 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 degree 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.

[0118] Preferably, comparing the valve state data with the valve operation instruction to confirm the valve action control consistency comprises:

[0119] Arranging the valve state data according to the valve number and timestamp into a state time sequence, and corresponding to the opening degree, execution speed and pressure target value in the valve operation instruction to form an instruction target time sequence;

[0120] Point-by-point comparison of the state time sequence and the instruction target time sequence, calculating the deviation value of each key indicator, and determining whether the valve action reaches the control target according to the preset tolerance threshold.

[0121] In an embodiment, the real-time collected valve state data is arranged according to the valve number and collection timestamp to form a state time sequence for each valve. The state time sequence includes valve number, collection time, actual opening degree, actual execution speed and actual fluid pressure, etc. In order to ensure the accuracy and continuity of the data, data filtering or interpolation method can be used to process the missing or abnormal sampling points during the state data collection process to generate a complete state time sequence.

[0122] Meanwhile, the preset opening, execution speed and pressure target value in the valve operation instruction are arranged according to the same time reference to form an instruction target time sequence. Each operation instruction contains a valve number, an expected action start time, an expected opening, an expected execution speed and a pressure target value. By one-to-one correspondence of the state time sequence and the instruction target time sequence at time points, the actual state at each sampling time point can be accurately aligned with the target instruction.

[0123] Subsequently, the system compares the state value at each time point with the instruction target value point by point. Specifically:

[0124] The deviation of the actual opening at each time point from the target opening is calculated to generate an opening deviation sequence;

[0125] The deviation of the actual execution speed at each time point from the target speed is calculated to generate a speed deviation sequence;

[0126] The deviation of the actual pressure at each time point from the target pressure is calculated to generate a pressure deviation sequence.

[0127] In the preferred embodiment, preset tolerance thresholds are set for the opening, speed and pressure deviations, for example, the opening deviation is not more than 0.5% of the full opening, the speed deviation is not more than 5%, and the pressure deviation is not more than 1 kPa. The system compares each deviation value with the corresponding threshold to determine whether each valve reaches the control target at each time point and generates a valve action consistency determination result. The determination result can be represented in Boolean value or grade form, such as consistent, slight deviation or significant deviation.

[0128] Further, the system can calculate the average deviation, maximum deviation and deviation duration of each valve during the entire action period based on the deviation statistical analysis of the time sequence to 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 the continuous action sequence to ensure that the overall valve action meets the control requirements.

[0129] 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 of the valve fast response. At the same time, the deviation determination can be combined with a moving average or weighted filtering method to avoid false judgments due to short-term disturbances. 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.

[0130] Preferably, the plurality of independent mechanical segments in step S1 are arranged along the width direction below the contact surface between the coating blade and the substrate, and the plurality of independent mechanical segments comprise:

[0131] A plurality of independent mechanical segments are arranged along the width direction of the contact surface of the coating blade and the substrate according to the coating width and the preset number of segments, and each segment has a width of 30-100 mm.

[0132] 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- eccentricity adjusting assembly is installed on each mechanical segment, the rotation adjusting angle range of the micro- eccentricity adjusting assembly is ±2°-±10°, and the micro- eccentricity adjusting assembly is fixed by a bolt or an embedded support, so that it can be finely adjusted in angular displacement along the rotation axis.

[0133] An elastic fluid self-balancing unit is arranged in each mechanical segment, the working pressure of the liquid or gas is 0.05-0.5 MPa, and the elastic fluid self-balancing unit is connected by a pipeline or integrated into the mechanical segment.

[0134] 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, so as to ensure that the blade can uniformly apply pressure in each segment area and adapt to the slight height change of the substrate. 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.

[0135] 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 and realize independent adjusting ability between segments. The micro- eccentricity adjusting assembly on the mechanical segment is used for fine adjustment in angular displacement, the rotation angle range of each micro- eccentricity adjusting assembly is set to ±2°-±10°, and the micro- eccentricity adjusting assembly is fixed by a bolt or an embedded support, so that the assembly can realize accurate angular displacement adjustment along the rotation axis, so as to compensate for the uneven film thickness or the thickness deviation of the substrate.

[0136] An elastic fluid self-balancing unit is arranged in each mechanical segment, the working medium can be liquid or gas, and the working pressure is set to be in the range of 0.05-0.5 MPa. The elastic fluid self-balancing unit is connected by a pipeline or integrated into the mechanical segment, and is used for automatic adjustment according to the contact pressure of the blade and the substrate during coating, so as to realize self- adaptive adjustment of local contact pressure and improve the film thickness uniformity of coating.

[0137] During installation, the height of each mechanical segment and the micro- eccentricity adjusting assembly need to be calibrated in advance, so as to ensure that the blade is approximately parallel to the substrate surface along the width direction in the initial state. After installation is completed, the micro- eccentricity adjusting assembly can be preliminarily adjusted in angular displacement by teaching or automatic calibration, and the elastic fluid self-balancing unit is calibrated in pressure, so as to ensure the synchronism and controllability of each segment when a process load is applied.

[0138] In this way, each mechanical segment can independently adjust the local angular displacement of the doctor blade and optimize the local pressure through the self-balancing unit, thereby providing a basis 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.

[0139] Importantly, generating the control signal sequence for each valve based on the analysis result further includes:

[0140] Preliminary numbering and sequencing of the action requirements of each valve in the analysis result to generate a valve action mapping table;

[0141] Generating a preliminary draft of the valve control signal time sequence based on the valve action mapping table;

[0142] Fine-tuning the preliminary draft control signal to obtain a fine-tuned signal sequence;

[0143] Integrating the fine-tuned signal sequence to generate the control signal sequence for each valve.

[0144] In an embodiment, the action requirements of each valve in the analysis result are preliminarily numbered and sequenced. The valve number can be determined according to the installation order in the production line or the physical position of the valve, for example, numbered from left to right or from front to back, to generate a valve action mapping table. The mapping table records the number, action type (opening or closing), target opening degree, and action priority of each valve, so as to reference the sequence and dependency relationship for subsequent control signal generation.

[0145] Then, a preliminary draft of the valve control signal time sequence is generated based on 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 action start and end time, and the interval 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 time sequence preliminary draft can also adjust the signal order according to the valve action priority to ensure that critical valves are executed first to maintain system stability.

[0146] Next, the preliminary draft control signal is fine-tuned for adjacent valves. Adjacent valves refer to valves that are adjacent in physical position or fluid passage, to avoid fluid impact or pressure fluctuations caused by simultaneous opening or closing. 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, historical sensor feedback data can also be combined to preventively adjust valve actions that may cause interference.

[0147] Finally, the fine-tuning signal sequence is integrated to generate the control signal sequence of each valve. During the integration process, the fine-tuning signals of all valves are arranged in chronological order to ensure signal continuity and system response synchronization, while labeling each signal corresponding valve number, action amplitude and target pressure to achieve controllable, coordinated and synchronous driving of each valve. The final control signal sequence can be directly issued to the valve actuator to achieve the action of each valve according to the preset strategy and sequence.

[0148] Especially important is that the fine-tuning of the initial draft control signal by the adjacent valve exclusion also includes:

[0149] Obtain the spatial topology and fluid pipeline layout of each valve, and identify the adjacent valve set of each valve to generate an adjacent relationship mapping table;

[0150] For adjacent valves that are simultaneously opened or closed in the initial draft control signal, calculate the action time overlap and mark it as a conflict control section;

[0151] For the conflict control section, adjust the valve control signal micro-time offset according to the adjacent relationship mapping table to obtain the fine-tuning signal sequence.

[0152] In an embodiment, the spatial topology and fluid pipeline layout information of each valve in the production line are obtained. The valve spatial topology includes the installation position coordinates and relative position relationship of the valve in the coating doctor blade or mechanical segmentation system, and the fluid pipeline layout includes the pipeline, fluid passage connected by the valve and the fluid communication relationship between them. Based on this information, the adjacent valve set of each valve is identified, i.e. the valve set that may interfere with each other in space or fluid passage, forming an adjacent relationship mapping table. The mapping table records each valve number and its corresponding adjacent valve number set for subsequent control signal fine-tuning reference.

[0153] Secondly, for adjacent valves that are simultaneously opened or closed in the initial draft control signal, calculate the action time overlap. The action time overlap is the length of time that adjacent valves perform opening or closing action in the same time period. If the overlap exceeds a predetermined threshold, for example, 10 to 50 milliseconds, it is determined as a conflict control section and marked in the signal sequence. The mark is used to prompt the signal segment that needs to be fine-tuned to avoid fluid pressure fluctuations or abnormal local contact pressure caused by simultaneous valve action.

[0154] Subsequently, the micro-time offset of the valve control signals is adjusted according to the adjacent relationship mapping table for the marked conflict control section. The specific operation includes delaying or advancing the action start time of some valves in the conflict section by 5 to 20 milliseconds, or making a micro adjustment to the action amplitude, so as to reduce the interference caused by simultaneous action. Through the adjusted control signal, an adjusted signal sequence is generated, wherein each signal contains information such as valve number, adjusted action start and end time, target opening degree and action amplitude, so as to ensure that the adjacent valve actions do not interfere with each other during system execution.

[0155] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting, the scope of the application being defined by the appended claims and not by the above description, and it is intended to include all variations falling within the meaning and scope of the equivalent elements of the application file.

[0156] The above description is only a specific implementation of the present application, enabling 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 for a pressure-sensitive adhesive production line, characterized by, The method comprises the following steps: Step S1: A plurality of independent mechanical segments are arranged along the width direction below the contact surface of the coating blade and the substrate, wherein each segment is equipped with a micro- eccentricity adjusting assembly and an elastic fluid self-balancing unit; the micro- eccentricity adjusting assembly comprises an eccentric shaft, a stepping micro- motor, and a precision adjusting rod; the elastic fluid self-balancing unit comprises a micro- hydraulic cavity, an elastic diaphragm, and a fluid channel; Step S2: At least one thin film acoustic resonance sensing strip is arranged on the blade, and a local film thickness indication signal is generated according to the detection of the thin film acoustic resonance sensing strip; Step S3: When the local film thickness indication signal deviates from the preset range, the micro- eccentricity adjusting assembly 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, thereby obtaining composite compensation data; wherein step S3 specifically comprises: Step S31: When the local film thickness indication signal deviates from the preset range, the local film thickness deviation amplitude is confirmed according to the local film thickness indication signal; Step S32: The target angular displacement value of the micro- eccentricity adjusting assembly is determined according to the local film thickness deviation amplitude, and the target angular displacement value is converted into a control instruction of the corresponding segmented mechanical structure; Step S33: The angular displacement fine adjustment action of each micro- eccentricity adjusting assembly is triggered in sequence through the control instruction; Step S34: The film thickness indication signal is collected in real time during the fine adjustment process, the influence degree of the angular displacement adjustment on the film thickness deviation is confirmed, and the angular displacement of the micro- eccentricity adjusting assembly is gradually corrected according to the influence degree, thereby obtaining angular displacement adjustment control data; Step S35: Based on the angular displacement adjustment control data, the valve of the corresponding elastic fluid self-balancing unit is opened or closed to perform local contact pressure adjustment, thereby obtaining composite compensation data; Step S4: Steps S2-S3 are repeated until all film thickness indication signals enter the preset range, and the corresponding composite compensation data is saved for coating process control of the pressure sensitive adhesive production line.

2. The control method of a pressure-sensitive adhesive production line according to claim 1, wherein Step S31 comprises the following steps: Step S311: The signal waveform formed by the local film thickness indication signal within the continuous scanning time is taken as an effective signal waveform; Step S312: The deviation peak value and the cumulative deviation amount of the effective signal waveform are confirmed based on the waveform extreme value and the waveform inflection point of the effective signal waveform; Step S313: A dynamic deviation curve is obtained according to the deviation peak value and the cumulative deviation amount, and a film thickness deviation inertia coefficient is calculated through the dynamic deviation curve; wherein the calculation of the film thickness deviation inertia coefficient through the dynamic deviation curve comprises: Extracting continuous deviation segment data from the dynamic deviation curve generated from the local film thickness indication signal to form a first deviation subset; For each deviation value in the first deviation subset, the deviation change rate between adjacent points is calculated to form a second deviation subset; The deviation change rate in the second deviation subset is weighted and averaged in time sequence to obtain a deviation change trend value; The deviation change trend value and the corresponding deviation amplitude are comprehensively mapped to obtain a film thickness deviation inertia coefficient, wherein the film thickness deviation inertia coefficient is used to reflect the comprehensive characteristics of the amplitude and the change trend of the film thickness deviation; Step S314: The local film thickness deviation amplitude of the effective signal waveform is confirmed through the film thickness deviation inertia coefficient.

3. The control method of a pressure sensitive adhesive production line according to claim 1, wherein Step S35 comprises the following steps: Step S351: Obtain the current actual angular displacement of the micro- eccentricity adjustment assembly; determine 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: 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 corresponding valve operation instructions according to the angular displacement error set, wherein the valve operation instructions include opening amount and closing amount; Step S354: Synchronously drive the corresponding elastic fluid self- balancing unit valve to perform operations through the corresponding valve operation instructions, and collect the local contact pressure changes in real time to form local pressure feedback data; Step S355: Fuse the angular displacement error data and the local pressure feedback data to generate composite compensation data.

4. The control method of a pressure-sensitive adhesive production line according to claim 3, wherein Synchronously driving the corresponding elastic fluid self- balancing unit valve to perform operations through the corresponding valve operation instructions includes: Input the valve operation instructions into the valve control unit to analyze the valve number and operation amplitude corresponding to each instruction to obtain an analysis result; Generate control signal sequences for each valve according to the analysis result to form a synchronous control data set; Distribute the synchronous control data set to the actuators of each elastic fluid self- balancing unit valve to drive the valves to open or close according to the control signal sequences, adjust the fluid passage pressure, and realize local contact pressure regulation.

5. The control method of a pressure-sensitive adhesive production line according to claim 4, wherein After realizing local contact pressure regulation, it further includes: During valve execution, collect the action feedback of each valve in real time, including actual opening degree, execution speed, and pressure change, to form a valve state data set; Compare the valve state data with the valve operation instructions to confirm the consistency of valve action control.

6. The control method of a pressure-sensitive adhesive production line according to claim 5, wherein Comparing the valve state data with the valve operation instructions to confirm the consistency of valve action control includes: Organize the valve state data into a state time sequence according to the valve number and time stamp, and form an instruction target time sequence corresponding to the preset opening degree, execution speed, and pressure target value in the valve operation instructions; Point by point compare the state time sequence with the instruction target time sequence, calculate the deviation value of each key indicator, and determine whether the valve action reaches the control target according to the preset tolerance threshold.

7. The control method of a pressure sensitive adhesive production line according to claim 1, wherein In step S1, a plurality of independent mechanical segments are arranged along the width direction below the contact surface of the coating doctor blade and the substrate, which includes: Along the width direction below the contact surface of the coating doctor blade and the substrate, a plurality of independent mechanical segments are arranged along the width direction at equal intervals or as needed according to the coating width and the preset number of segments, and each segment has a width of 30-100 mm; Each mechanical segment is installed below the doctor blade through a fixed support or a guide mechanism, so that it can independently support the doctor blade contact surface; a micro- eccentricity adjustment assembly is installed on each mechanical segment, wherein the rotation adjustment angle range of the micro- eccentricity adjustment assembly is ± 2°-± 10°, and it is fixed through 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 liquid or gas working pressure is 0.05-0.5 MPa, which is connected through a pipeline or integrated into the mechanical segment.

8. A control system for a pressure sensitive adhesive production line, characterized by A control method for a pressure sensitive adhesive production line based on the control system of claim 1, the pressure sensitive adhesive production line based on the control system includes: The mechanism setting module is configured to set a plurality of independent mechanical segments along the width direction below the contact surface of the coating blade and the substrate, wherein each segment is equipped with a micro- eccentricity adjusting assembly 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 blade, and to detect the coating film thickness according to the film acoustic resonance sensing belt to generate a local film thickness indication signal; The control optimization module is configured to drive the micro- eccentricity adjusting assembly of the corresponding mechanical segment to perform angular displacement fine adjustment when the local film thickness indication signal deviates from the preset range, and to simultaneously open or close the valve of the corresponding elastic fluid self-balancing unit to perform local contact pressure adjustment, thereby obtaining 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 to save the corresponding composite compensation data for coating process control of the pressure-sensitive adhesive production line.

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