On-line deviation rectifying method and system for full-lamination production line

Abstract

The present application relates to full-lamination production line technical field, disclose a kind of online deviation rectification method and device of full-lamination production line.Method includes: setting breath capture film above the surface of material to be laminated, laser interferometer array is arranged between breath capture film and the surface of material to be laminated, the vibration response of breath capture film is collected, material quality set is calculated and sleep quality map is constructed, the best lamination opportunity is determined according to IK protection level set precision threshold, and stress pre-diagnosis data is generated;Formulate optimal lamination path and stress conduction path for sleep quality map, identify stress-sensitive area, establish root hair lamination point network to obtain risk area;Collect vibration data of risk area, identify core high-risk and low-risk area, implant micro acoustic structure and emit reverse vibration to offset residual vibration, the present application solves the problem of uneven internal stress, stress concentration causes warping and blistering, improves lamination quality and production efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of full-lamination production lines, and more particularly to an online deviation correction method and system for a full-lamination production line. BACKGROUND

[0002] In the field of full-lamination production lines, with the increasing demand for high-precision display panels, flexible electronic devices and other products and the increasing complexity of lamination processes, the problems of lagging static adjustment, lack of stress monitoring and insufficient risk area prediction in traditional processes have become prominent. Real-time stress monitoring, risk area early warning and residual vibration offsetting during the lamination process are still technical difficulties in the industry.

[0003] In the prior art, a patent application with publication number CN119029336A discloses an electrode sheet stacking method. The method provides a convex shaft through the revolution seat, and a supply machine set supplies a diaphragm and an electrode sheet. The material sheet is tensioned by the convex shaft during the turnover process, and the glue distribution wheel of the glue distribution machine set is elastically pressed to make the material sheet tightly wound, realizing tensioning throughout the winding core winding. Through the tensioning and pressing cooperative mechanism, the uniformity of the lamination stress inside the battery is improved, and a stress control scheme is provided for the lamination of the rolled material. A patent application with publication number CN119782497A discloses a RAG retrieval process optimization method and system based on fine-tuning embedded models, which is not a direct lamination process, but the dynamic window monitoring idea therein has reference value for industrial process analysis.

[0004] However, the above-mentioned prior art has certain value in stress control and data processing in specific scenarios, but it fails to solve the core pain points of online deviation correction in current full-lamination production lines. Among them, the CN119029336A patent focuses on mechanical tensioning of battery electrode sheet stacking, lacks real-time monitoring means such as laser interferometer arrays, cannot generate stress pre-diagnosis data, and does not build a sleep quality map and risk area identification mechanism; the CN119782497A patent focuses on text retrieval optimization and does not involve stress-sensitive area positioning and vibration offsetting in the lamination process. Both of them do not establish a residual stress processing scheme of micro-silencing structure and reverse vibration coordination, which cannot identify the warping and blistering risks caused by internal stress concentration in advance, and cannot realize dynamic deviation correction during the lamination process, and cannot meet the fine management needs of high-precision full-lamination production. SUMMARY

[0005] The present application is suitable for various full-lamination production lines with different IK protection levels, such as high-protection aerospace precision display panels, military-grade touch components, medium-protection commercial touch screens, industrial control touch screens, low-protection refrigerator display panels, and washing machine control screens, and can meet the lamination production requirements of different precision requirements; the sleep quality map is constructed by capturing the vibration response of the breathing capture film and the laser interferometer array, and the precision threshold is set according to the IK protection level to determine the best lamination opportunity, realize the visualization of the internal stress distribution of the material to be laminated and the precise quantification of the lamination node, and solve the problems of traditional process relying on experience judgment and uneven internal stress causing warping and blistering; the optimal lamination path and stress conduction path are determined, the risk area is determined by establishing the root and hair lamination point network, the whole process management from macro lamination path planning to micro local stress dispersion is realized, and the defects of traditional lamination path blindness and local stress concentration causing material damage are solved; the residual vibration is precisely eliminated by implanting a micro sound-absorbing structure and emitting a reverse vibration to offset the residual vibration, the problem of incomplete vibration elimination in traditional process and continuous vibration after lamination causing delamination is solved, and the full-lamination production quality and efficiency are comprehensively improved.

[0006] To achieve the above object, the present application provides the following technical scheme:

[0007] The online deviation correction method of the full-lamination production line comprises:

[0008] A breathing capture film is arranged, and a laser interferometer array is arranged to capture the vibration response of the breathing capture film; the vibration response is calculated to obtain a material quality set; and a sleep quality map is constructed by using the material quality set and the laser interferometer array;

[0009] An optimal lamination path is determined for the sleep quality map, a stress conduction path is determined on the optimal lamination path, a stress-sensitive area is identified, a root and hair lamination point network is established for the stress-sensitive area, the root and hair lamination point network is judged, and a risk area is obtained;

[0010] Vibration data of the risk area is collected, core high-risk areas and low-risk areas are identified by using the vibration data, residual vibration is recorded, and reverse vibration is emitted to offset the residual vibration amplitude.

[0011] Further, the method for collecting the vibration response of the breathing capture film comprises:

[0012] A breathing capture film is arranged above the surface of the material to be laminated, and the breathing capture film is used to capture the fine airflow formed on the surface of the material to be laminated due to stress release;

[0013] A laser interferometer array is arranged between the breathing capture film and the surface of the material to be laminated, and the laser interferometer array is arranged in the form of a plurality of grid areas to form an array;

[0014] The material breathing frequency, the material inhalation depth and the material exhalation time of the respiratory capture film are collected by the laser interferometer unit, the material breathing frequency, the material inhalation depth and the material exhalation time are combined, and the vibration response of the respiratory capture film is obtained.

[0015] Further, the method for calculating the vibration response to obtain the material quality set comprises:

[0016] The stress state of each grid area in the laser interferometer array is calculated by the breathing frequency;

[0017] The material inhalation depth and the material exhalation time are calculated to obtain the breathing depth ratio, and the stress release state of each grid area in the laser interferometer array is judged by the breathing depth ratio;

[0018] The stress state and the stress release state of a single grid area are associated, and the stress state and the stress release state of all grid areas are counted to obtain the material quality set.

[0019] Further, the method for constructing the sleep quality map comprises:

[0020] Each grid area of the laser interferometer array is numbered according to the division;

[0021] The sleep quality identifier is formulated for the grid area by the material quality set, and the sleep quality identifier comprises a conformable area, a single pretreatment conformable area and a double pretreatment conformable area;

[0022] The unique number of each grid area is associated with the sleep quality identifier, and the grid area is classified in a color coding manner to obtain the sleep quality map.

[0023] Further, the method for formulating the optimal conforming path for the sleep quality map comprises:

[0024] The continuous grid area with the most concentrated conformable area is selected from the sleep quality map;

[0025] The conforming starting point is determined in the continuous grid area with the most concentrated conformable area, and the path, i.e. the optimal conforming path, is generated according to the principle of continuous coverage from the center to the edge or adjacent grid.

[0026] Further, the method for formulating the stress conduction path on the optimal conforming path and identifying the stress sensitive area comprises:

[0027] The intersection point of the diagonal line of the first completed conforming grid area in the optimal conforming path is taken as the starting point of the stress conduction path, the anisotropy strength data of the material to be conformed is obtained, and the main extension direction of the stress conduction path is determined according to the anisotropy strength data;

[0028] The stress of the grid area on the stress conduction path is monitored in real time, the stress value of each grid area is obtained, the stress values are compared, and the grid area with the compared stress value is marked to obtain a stress sensitive area.

[0029] Further, the method for obtaining the risk area comprises:

[0030] A root hair fitting point network is established for the stress sensitive area, and the root hair fitting point network sets a plurality of fitting points in the stress sensitive area.

[0031] The local stress of the stress sensitive area is detected, the fitting points and the local stress are calculated, and the fitting bearing capacity of the fitting points is obtained.

[0032] The fitting bearing capacity of the fitting points is judged to obtain a risk area.

[0033] Further, the method for identifying the core high-risk area and the low-risk area comprises:

[0034] The diagonal intersection point of the risk area is taken as a node, the grid area where the node is located is uniformly knocked by an automatic knocking hammer, and vibration data of the risk area is obtained by sampling through a vibration sensor.

[0035] The vibration echo time is obtained through the vibration data, the vibration echo time is judged, and the grid area corresponding to the vibration echo time is marked as a strong area of the tuning fork effect.

[0036] The area with strong tuning fork effect is associated with the risk area and is screened to obtain the core high-risk area and the low-risk area.

[0037] Further, the method for emitting reverse vibration against the residual vibration to offset the residual vibration amplitude comprises:

[0038] The core high-risk area and the low-risk area are re-measured to obtain vibration characteristic parameters.

[0039] The vibration characteristic parameters are calculated to obtain reverse vibration control parameters.

[0040] A piezoelectric exciter is installed at a key position of the stress conduction path, the piezoelectric exciter emits reverse vibration to the core high-risk area and the low-risk area according to the reverse vibration control parameters, the reverse vibration refers to reverse vibration with a phase difference of 180° and frequency matching with the residual vibration of the core high-risk area and the low-risk area, and the effect of offsetting the residual vibration amplitude is achieved.

[0041] The online deviation rectifying device of the full fitting production line is used to realize the online deviation rectifying method of the full fitting production line, and the device comprises:

[0042] Breath sensing module: for setting up a breath capture film, and establishing a laser interferometer array to collect the vibration response of the breath capture film; calculating the vibration response to obtain a material mass set; using the material mass set and the laser interferometer array, a sleep quality map is constructed;

[0043] Path planning module: for formulating an optimal fitting path for the sleep quality map, formulating a stress conduction path on the optimal fitting path, and identifying a stress sensitive area, establishing a root hair fitting point network for the stress sensitive area, judging the root hair fitting point network to obtain a risk area;

[0044] Risk processing module: for collecting vibration data of the risk area, identifying core high-risk areas and low-risk areas using the vibration data and recording residual vibration, emitting reverse vibration to offset the residual vibration amplitude.

[0045] Compared with the prior art, the beneficial effects of the present application are:

[0046] The present application collects vibration response through breath capture film and laser interferometer array, generates stress pre-diagnosis data and constructs a sleep quality map, sets precision threshold according to IK protection level to determine the best fitting opportunity, realizes the visualization of internal stress distribution of the material to be fitted and the precise quantification of fitting nodes, solves the pain points of traditional process relying on experience judgment and uneven internal stress causing warping and blistering; by formulating an optimal fitting path and a stress conduction path to identify a stress sensitive area, establishing a root hair fitting point network to judge a risk area, realizing the whole process management from macroscopic fitting path planning to microscopic local stress dispersion, solving the problem of traditional fitting path blindness and local stress concentration causing material damage; by collecting vibration data of the risk area to identify core high / low risk areas, implanting microscopic sound-absorbing structures and emitting reverse vibration to offset residual vibration, realizing precise elimination of residual vibration, solving the defects of incomplete vibration elimination in traditional process and continuous vibration after fitting causing delamination, and comprehensively improving the production quality and efficiency of full fitting. BRIEF DESCRIPTION OF DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the following embodiment or prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0048] Figure 1 The method flowchart of the online deviation correction method of the full fitting production line provided by the embodiments of the present application;

[0049] Figure 2 The spatial relationship diagram of the laser interference array, the breath capture film and the surface of the material to be fitted provided by the embodiments of the present application;

[0050] Figure 3 The function module diagram of the online deviation rectifying device of the full-lamination production line provided by the embodiment of the present application is shown in the figure;

[0051] Figure 4 The function module diagram of the online deviation rectifying device of the full-lamination production line provided by the embodiment of the present application is shown in the figure; DETAILED DESCRIPTION

[0052] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. 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 protection scope of the present application.

[0053] Embodiment 1

[0054] Please refer to Figure 1 The embodiment provides an online deviation rectifying method of a full-lamination production line, which comprises the following steps:

[0055] In step S10, a breath capture film is set, and a laser interferometer array is established to collect the vibration response of the breath capture film. The vibration response is calculated to obtain a material quality set. The sleep quality map is constructed by using the material quality set and the laser interferometer array.

[0056] Further, step S10 comprises the following steps:

[0057] In step S11, a breath capture film is set, and a laser interferometer array is established to collect the vibration response of the breath capture film.

[0058] A breath capture film is arranged above the surface of the material to be attached. The breath capture film is an ultra-thin film, and the thickness of the film is set according to the mechanical principle of the surface of the material to be attached. If the film is too thick, the sensitivity to weak air flow will be reduced. If the film is too thin, it will be easily affected by the environment and misjudged. For example, a polymer film with a thickness of 0.01 mm to 0.05 mm is used. The breath capture film arranged above the surface of the material to be attached can be used as an auxiliary detection device, which can capture the fine air flow formed on the surface of the material to be attached due to stress release. It can also avoid directly attaching a sensor to the surface of the material to be attached, reducing damage or interference to the surface of the material to be attached. The perpendicular distance between the breath capture film and the surface of the material to be attached is set according to the surface of the material to be attached, so as to effectively capture the weak air flow changes generated on the surface of the material to be attached, and avoid the influence of the roughness of the surface of the material to be attached due to too close distance. For example, it is set to be 3 to 5 times the surface of the material to be attached. In order to ensure that the breath capture film is stably suspended and maintains the relative distance from the surface of the material to be attached, a support frame or a micro pillar is arranged at the edge of the breath capture film, and the breath capture film is fixed on the support structure.

[0059] When there is stress concentration inside the surface of the material to be attached, periodic micro deformation will occur at the position of stress concentration. During the deformation process, the fluctuation movement of the surface of the material to be attached drives the surrounding air to produce weak flow. After the breath capture film senses the air flow change, it produces a corresponding vibration response. In order to accurately measure the vibration response of the breath capture film, a laser interferometer array is arranged between the breath capture film and the surface of the material to be attached, such as Figure 2The space relationship between the breath capturing film, the laser interferometer array and the surface of the material to be attached is shown. The specific position of the laser interferometer array is set according to the vertical distance between the breath capturing film and the surface of the material to be attached, to ensure that the breath capturing film can be accurately measured and at the same time avoid the breath capturing film being affected by the micro-roughness of the surface of the material to be attached. For example, it is set between 30% and 50% of the vertical distance between the breath capturing film and the surface of the material to be attached. The laser interferometer array is a measurement system composed of a plurality of independent laser interferometer units. The laser interferometer units are arranged in the form of an MxN grid area to form an array, which is the laser interferometer array. Among them, M and N represent the number of horizontal and vertical grids of the laser interferometer array, respectively. The number of laser interferometer units is set according to the IK protection level of the product. The higher the IK protection level, the greater the arrangement density of the laser interferometer units. According to the impact energy of the IK protection level itself, the IK protection level is divided into protection levels. The IK protection levels of IK00~IK06 are divided into low protection levels, the IK protection levels of IK07~IK08 are divided into medium protection levels, and the IK protection levels of IK09~IK10 are divided into high protection levels. For example, the arrangement density of the laser interferometer units in the high protection level is set to 4~6 per square centimeter, the arrangement density of the laser interferometer units in the medium protection level is set to 2~4 per square centimeter, and the arrangement density of the laser interferometer units in the low protection level is set to 1~2 per square centimeter. L represents the length of each grid in the laser interferometer array. It is set according to the smallest key dimension in the internal structure of the surface of the material to be attached, such as the line width or line spacing of the PCB, to avoid being unable to capture the micro-local vibration due to too large spacing, and to increase the number of array units and the measurement complexity due to too small spacing. For example, it is set to 0.5~2 times the smallest key dimension in the internal structure of the surface of the material to be attached.

[0060] The vibration response of the breath capturing film is collected by the laser interferometer unit, which includes the material breathing frequency F, the material inhalation depth D, and the material exhalation time T. Among them, the material breathing frequency represents the speed of the periodic micro-vibration of the stress concentration unit on the surface of the material to be attached; the material inhalation depth represents the maximum displacement of the breath capturing film in one vibration period; and the material exhalation time represents the time required for the breath capturing film to recover from the maximum displacement to the static position when it is not affected by the micro-vibration of the surface of the material to be attached.

[0061] In the traditional detection method, either a sensor is directly attached to the surface of the material, which may cause surface damage or interfere with the stress state, or a single detection device is used, which is difficult to capture weak stress airflow vibration, resulting in a lack of reliable raw data for subsequent stress analysis. Step S11 solves the technical problems of damaging the material to be attached, being easily disturbed by the environment and lacking data accuracy when collecting material micro-vibration in the full-attachment production line through the cooperative detection of the breath capturing film and the laser interferometer array.

[0062] Step S12, the vibration response is calculated to obtain the material quality set.

[0063] As Figure 3 shown, is a flow chart of obtaining the material quality set by calculating the vibration response. The stress state of each grid area in the laser interferometer array is calculated by the breathing frequency, when , it indicates that the stress of the grid area is in an active state, and the molecular chain inside the material to be fitted is frequently vibrated under the action of a large external force. Among them, is the urgent breathing threshold, which is set according to the statistical analysis of the vibration characteristics of the material to be fitted under different stress states; when , it indicates that the stress of the grid area is in a moderate state, and the internal structure of the material to be fitted is relatively stable. Among them, is the lower limit of normal breathing, which is set according to the statistical analysis of the vibration characteristics of the material to be fitted under the stress fully released state; when , it indicates that the stress of the grid area is in a sleep state, and the internal stress of the material to be fitted is fully released, which provides an ideal condition for the fitting operation.

[0064] The breathing depth ratio R is calculated by the material inspiration depth and the material expiration time, and the breathing depth ratio represents the stress bearing capacity and release efficiency of the surface of the material to be fitted, . The stress release state of each grid area in the laser interferometer array is judged by the breathing depth ratio.

[0065] When , it indicates that the release is difficult, and pretreatment such as heating and pre-stretching is needed, wherein, is the difficult release threshold, which is set according to the statistical analysis of the breathing depth ratio of the material to be fitted under high stress state; when , it indicates that the state is good, and the fitting operation can be directly performed. Among them, is the lower limit of good state, which is set according to the statistical analysis of the breathing depth ratio of the material to be fitted under the stress moderate or release smooth state; when , it indicates that it is too relaxed, and the pre-tensioning force needs to be appropriately increased to ensure the fitting quality.

[0066] The stress state and stress release state of a single grid area are associated, and the stress state and stress release state of all grid areas are counted to obtain the material quality set.

[0067] In the traditional process, the operator can only make a simple observation on the vibration data, and cannot associate the stress distribution and the release efficiency, so it is difficult to accurately identify local stress abnormalities and determine whether pretreatment is needed, which may lead to over-treatment or insufficient treatment. Step S12 solves the technical problem of stress judgment relying on experience and strong subjectivity by converting the collected vibration signals into concrete stress information.

[0068] Step S13, using the material quality set and the laser interferometer array, a sleep quality map is constructed.

[0069] Each grid area of the laser interferometer array is assigned a unique number according to the division Where i and j represent the indices of the number of horizontal and vertical grid of the laser interferometer array, respectively.

[0070] The sleep quality identifier for the grid area is determined by the material quality set, including the conformable area, the single pretreatment conformable area, and the double pretreatment conformable area. The conformable area means that direct conforming is possible, the single pretreatment conformable area means that direct conforming is not possible and one pretreatment is needed before conforming, and the double pretreatment conformable area means that direct conforming is not possible and two pretreatments are needed before conforming.

[0071] When the conforming quality of the grid area is in a good state and the stress state of the grid area is in a sleep state or a moderate state, it belongs to the conformable area; when the conforming quality of the grid area is in a difficult release state and the stress state of the grid area is in a moderate state, the conforming quality of the grid area is in a good state and the stress state of the grid area is in an active state, the conforming quality of the grid area is in an overly relaxed state and the stress state of the grid area is in a sleep state, it belongs to the single pretreatment conformable area, and when the conforming quality of the grid area is in a difficult release state and the stress state of the grid area is in an active state, it belongs to the double pretreatment conformable area.

[0072] The unique number of each grid area is associated with the sleep quality identifier, and the grid areas are classified using color coding. For example, the grid areas of the conformable area are colored green, the grid areas of the single pretreatment conformable area are colored yellow, and the grid areas of the double pretreatment conformable area are colored red. All color-coded grid areas are combined to obtain a sleep quality map.

[0073] The best conforming opportunity is determined for different IK protection levels, which represents the golden time in full conforming production when the overall state of the material is the best and quality problems such as warping, blistering, and delamination are unlikely to occur after conforming.

[0074] For high protection level IK protection level, the determination of the best bonding opportunity: the grid area ratio of the bondable area in the sleep quality map is greater than the high precision threshold. Among them, the high precision threshold is set according to the high precision bonding requirement of the high protection level IK protection level and the material stress uniformity control standard. For example, the high precision threshold is set to 95%, the purpose is to meet the high precision application scene requirement of the high protection level IK protection level. For example, aerospace precision display panel, military level touch component, etc., to minimize the risk of local stress, and ensure the uniform distribution of the overall stress of the material.

[0075] For medium protection level IK protection level, the determination of the best bonding opportunity: the grid area ratio of the bondable area in the sleep quality map is greater than the medium precision threshold. Among them, the medium precision threshold is set according to the high precision bonding requirement of the medium protection level IK protection level and the material stress fluctuation setting. For example, the high precision threshold is set to 85%, the purpose is to meet the high precision application scene requirement of the medium protection level IK protection level, for example, commercial touch screen, industrial control touch screen, which can not only ensure the quality stability of direct bonding in most areas, but also reduce the efficiency loss caused by excessive preprocessing, and realize the balance between quality and production capacity.

[0076] For low protection level IK protection level, the determination of the best bonding opportunity: the grid area ratio of the bondable area in the sleep quality map is greater than the general precision threshold. Among them, the general precision threshold is set according to the high precision bonding requirement of the low protection level IK protection level and the product quality fault tolerance setting. For example, the high precision threshold is set to 75%, the purpose is to meet the high precision application scene requirement of the low protection level IK protection level, for example, refrigerator display panel, washing machine control screen, which can maximize the production efficiency on the premise of ensuring the basic quality, and meet the production logic of general precision product cost priority and efficiency orientation.

[0077] Step S10 solves the technical problems in full bonding production line that cannot predict the surface internal stress distribution of the material to be bonded, depends on experience judgment and lacks scientific quantitative evaluation means, internal stress uneven causes warping and blistering and other quality defects, and collecting micro vibration easily damages the material or is disturbed, vibration signal is difficult to convert to concrete stress information, lack of global visualization of quality distribution and accurate determination of bonding node according to product precision requirement. The breath capture film can avoid direct contact with the material while capturing the weak airflow generated by stress release. The material quality set converts abstract vibration data into quantitative stress information. The sleep quality map realizes global visualization of material quality distribution, determines the best bonding opportunity for different IK protection levels, and balances the quality requirements and production efficiency of different precision products.

[0078] Step S20, an optimal fitting path is formulated for the sleep quality map, a stress conduction path is formulated on the optimal fitting path, and a stress sensitive area is identified, a root hair fitting point network is established for the stress sensitive area, the root hair fitting point network is judged, and a risk area is obtained.

[0079] Further, step S20 includes:

[0080] Step S21, an optimal fitting path is formulated for the sleep quality map.

[0081] The optimal fitting path preferentially selects a continuous grid area with the most concentrated fitting area in the sleep quality map, selects a grid area with the smallest absolute value of the difference between the material breathing frequency F and the lower limit of normal breathing as the fitting starting point, and generates the optimal fitting path according to the principle of continuous coverage from the center to the edge or adjacent grid, thereby reducing the invalid movement distance of the fitting device; the path needs to avoid the grid area that has been fitted to avoid secondary stress interference, preferentially connects the single pretreatment fitting area and the double pretreatment fitting area whose pretreatment has been completed, ensures the continuity of the path from the pretreatment completed area to the fitting area, and reduces the time consumption of device switching.

[0082] Step S22, using the optimal fitting path, a stress conduction path is formulated, the stress conduction path is monitored, and a stress sensitive area is identified.

[0083] The stress conduction path includes a main root starting point and a main extension direction. The stress conduction path refers to the path of the main root starting point extending along the main extension direction. The main root starting point is the intersection point of the diagonal line of the first grid area that is completed fitting in the optimal fitting path as the main root starting point of the stress conduction path. The main root starting point is located at the geometric center of the grid area, which can provide a stable reference for path extension without relying on external boundaries, thereby avoiding the uncertainty caused by the randomness of the starting position of the path, and improving the accuracy and stability of the calculation of the main extension direction. The main extension direction of the stress conduction path is obtained by acquiring the anisotropic strength data of the material to be fitted, identifying the direction with the highest strength as the main extension direction of the stress conduction path. The anisotropic strength data includes longitudinal tensile strength value , transverse tensile strength value , and shear strength value . The longitudinal tensile strength value represents the tensile carrying capacity of the material in the longitudinal direction, which aims to depict the main strength direction performance of the material. The transverse tensile strength value represents the tensile carrying capacity of the material in the vertical direction, which aims to reflect the stress characteristics of the material in the weak direction. The shear strength value represents the shear resistance of the material in a certain direction, which aims to represent the damage resistance of the material under complex stress.

[0084] Cutting the to-be-fitted material into a plurality of sample blocks along the longitudinal direction, the transverse direction and the specific direction respectively, and the number of sample blocks in the three directions is consistent, for example, the number of sample blocks is ten, and the cross-sectional area of each sample block, i.e. the longitudinal cross-sectional area, is measured manually , the vertical cross-sectional area , the shear cross-sectional area , the maximum load of each sample block, i.e. the longitudinal load , the transverse load , the shear load , the maximum load cross-sectional area of the sample block is calculated to obtain the strength value corresponding to the plurality of sample blocks in the three directions, , , . The average strength value of all sample blocks in each direction of the three directions is calculated, and the direction with the maximum strength value in the three directions is taken as the main extension direction of the stress conduction path.

[0085] The stress monitoring mechanism is used to monitor the stress of the grid area on the stress conduction path in real time. The specific implementation method is as follows: stress sensors are arranged in the main extension direction of the stress conduction path, the stress values of each grid area in the main extension direction of the stress conduction path are monitored in real time, if the stress value in the grid area in the main extension direction of the stress conduction path is greater than the stress threshold value, it is determined that the grid area has a stress accumulation risk, and a branch is generated at the position of the grid area with the stress accumulation risk for dispersing local stress. The stress threshold value is set according to the real bearing capacity of the to-be-fitted material itself and a safety margin is reserved, the branch is taken as the diagonal intersection point of the grid area with the stress accumulation risk as the branch starting point, the main extension direction of the branch is determined by the same method of comparing the strength values in the three directions, the branch extends from the branch starting point to the main extension direction of the branch, and stress sensors are arranged and the stress value is monitored in real time. If the stress value of the grid area in the main extension direction of the branch is still greater than the stress threshold value, a new branch is generated in the corresponding grid area to realize the step-by-step dispersion of stress. As the main root starting point extends along the main extension direction, when it reaches the boundary of the to-be-fitted material and cannot extend, a new branch is generated in the grid area at the boundary and a new extension direction is selected until the coverage of the overall path network and the stress balance are realized.

[0086] All grid areas in the main extension direction and the main extension direction of the branch where the stress value is greater than the stress threshold value are marked as stress-sensitive areas, and the stress-sensitive area is a grid unit with high local stress, which is easy to cause material damage or fitting defects.

[0087] Step 23, establishing a root hair fitting point network for the stress-sensitive area, judging the root hair fitting point network to obtain a risk area.

[0088] A root hair fitting point network is established for the stress-sensitive area to reduce the risk of local high stress area and realize smooth transformation from point stress to surface stress.

[0089] The root hair fitting point network uses the Poisson disc sampling method to set multiple fitting points in the stress-sensitive area. The fitting points are uniformly distributed in the stress-sensitive area and maintain a minimum spacing. Among them, the fitting point is a micro-scale fitting unit, such as a micro-structure adhesive, a micro-sphere glue point, and a conductive glue ball. By increasing the fitting points in the stress-sensitive area, the stress distribution of the stress-sensitive area can be improved to avoid local peeling or damage. The number of fitting points is set according to the size of the stress-sensitive area, the local stress level, and the IK protection level, for example, for stress-sensitive areas of the same size, the higher the local stress value or the higher the IK protection level requirement, the more fitting points are generated to ensure that the fitting points can sufficiently disperse the local stress and will not cause resource waste or increase the complexity of operation; the minimum spacing is set according to the precision requirement of the material to be fitted and the IK protection level. The higher the IK protection level, the more precise the requirement, the stricter the stress dispersion, and the smaller the minimum spacing of the fitting points, which ensures that the fitting points can effectively disperse the stress and avoid excessive density to increase the complexity of operation. Exemplarily, for high protection level, the minimum spacing is set to 0.1-0.2 mm, for medium protection level, the minimum spacing is set to 0.2-0.4 mm, and for low protection level, the minimum spacing is set to 0.4-0.8 mm.

[0090] The fitting point is a fixed geometric shape, and the contact area C of the fitting point and the stress-sensitive area is calculated by the major axis length C1 and the minor axis length C2 or the radius C3 of the fitting point and the geometric shape of the fitting point. Exemplarily, if the fitting point is circular, then , if the fitting point is elliptical, then .

[0091] The local stress of the stress-sensitive area is detected by a stress sensor , and the contact area of the fitting point and the stress-sensitive area is calculated to calculate the fitting load P of the fitting point, C; the fitting load and the contact area of the fitting point and the stress-sensitive area are calculated to obtain the fitting bearing capacity of the fitting point , , wherein T is a shape correction coefficient, which is set according to the actual shape of the fitting point. The purpose is to convert the average contact pressure into the local maximum stress, so that the calculation result is closer to the upper limit of the actual bearing capacity, and the safety is guaranteed. Exemplarily, for a circular fitting point, T is 1.5, for an elliptical shape, T is 1.6-1.8, and for other irregular shapes, T is 1.5-2.0. If , it indicates that the fitting point is safe in bearing. Among them, is a safety stress threshold value, which is set according to the fatigue strength of the material to be laminated and with a safety margin, and the purpose is to prevent local material overload or damage; if , it indicates that the laminating point is overloaded, which may cause local damage to the material to be laminated and plastic deformation, thereby affecting the local or overall stress distribution.

[0092] The grid area where the laminating point is safely loaded is marked as a normal area, and the grid area where the laminating point is overloaded is marked as a risk area. When the laminating point is overloaded, a local stress dispersion strategy is triggered, that is, based on the original number of laminating points in the risk area, laminating points are added to make the density of laminating points greater, and the load of the overloaded laminating points is shared to the surrounding healthy laminating points, thereby reducing the local stress peak and preventing local damage to the material. Among them, the number of newly added laminating points in the high-risk area is set according to the size of the high-risk area and the size of the safety stress threshold value. The greater the size of the safety stress threshold value, the more laminating points are added.

[0093] Step S20 solves the technical problems of uneven stress, high risk of local damage, blind laminating path, operation relying on experience, lack of scientific and quantitative evaluation, etc. in the traditional laminating process through the optimal laminating path, stress conduction path, stress sensitive area, root hair laminating point network and risk area; through the stress conduction path and the root hair laminating point network, the whole process stress management from macro laminating path planning to micro local stress dispersion is realized, avoiding local stress concentration in the traditional laminating process, reducing the risk of material warping, blistering or delamination; the sleep quality map and the stress sensitive area realize the visual monitoring of the laminating path and the local stress, so that the laminating operation is no longer dependent on experience. The root hair laminating point network ensures that the stress bearing of the risk area is within the safe range through real-time monitoring and local stress dispersion strategy, and improves the laminating reliability.

[0094] Step S30, collect vibration data of the risk area, and identify core high-risk areas and low-risk areas from the vibration data, and in

[0095] Further, step S30 includes:

[0096] Step S31, collect vibration data of the risk area, and identify core high-risk areas and low-risk areas from the vibration data.

[0097] The intersection of the diagonal lines of the risk area is taken as a node, and the position of the node can reflect the local stress change of the whole risk grid, and the number of nodes is reduced without losing monitoring accuracy.

[0098] Vibration data from the risk area is collected using vibration sensors. This data includes local stress loads and vibration signals. Local stress loads represent the overall stress level within the grid area where the node is located, used to verify and correct the accuracy and rationality of the stress transmission path and bonding point layout. Vibration signals represent the micro-vibrations at the node location; these are time-varying waveforms reflecting the local micro-deformation characteristics of the material to be bonded. Vibration signals are acquired using an automated hammer. Fixed intervals and forces are set according to the thickness and hardness of the material to be bonded, and the grid area where the node is located is uniformly struck before being collected by the vibration sensor. This method generates sufficient excitation energy without damaging the material surface. The timestamp of each sampling point and the corresponding vibration acceleration of the material at the striking location are recorded after the striking begins. By integrating the timestamps and acceleration data of each sampling point in chronological order, the real-time change relationship of the material's vibration amplitude is obtained, and the vibration echo time is extracted from this relationship. The vibration echo time refers to the timestamp corresponding to the point where the acceleration data obtained from subsequent impacts is less than the percentage of the acceleration data obtained from the initial impact on the material. For example, the percentage of the initial impact acceleration data is set to 5% to avoid interference from minor residual vibrations while still capturing the slow decay process of the material. Only grid areas with vibration echo times greater than the echo threshold are marked as areas with strong tuning fork effects. The echo threshold is set based on the type of material to be bonded and the bonding quality requirements. For example, the threshold is set to 3 seconds for thin film materials and 5 seconds for thick plate materials to ensure accurate identification of areas with slow vibration decay and strong tuning fork effects.

[0099] By associating areas with strong tuning fork effects with risk areas, grid areas that simultaneously meet the criteria for both risk areas and areas with strong tuning fork effects are identified as core high-risk areas, and grid areas that simultaneously meet the criteria for both normal areas and areas with strong tuning fork effects are identified as low-risk areas.

[0100] Step S32: Implant micro-silencing structures in the core high-risk area and low-risk area and record residual vibrations.

[0101] By using ultraviolet laser etching technology to implant microscopic noise-absorbing structures in the core high-risk and low-risk areas, the problems of stress overload and strong tuning fork effect at the bonding point are solved. The aim is to eliminate the interference of continuous vibration on bonding quality from the root, change the local stress transmission path, and reduce costs.

[0102] The micro sound attenuation structure parameters are designed, and the sound attenuation structure parameters include a structure type, a structure depth, a structure diameter, a structure density, and an arrangement manner. The structure type represents a micro sound attenuation structure implanted on the breath capturing membrane, and the purpose is to passively absorb vibration energy of the core high-risk area and the low-risk area and disperse local stress, so as to suppress the tuning fork effect and avoid the fitting defect. The structure depth represents the vertical depth of the micro sound attenuation structure in the breath capturing membrane. The structure diameter represents the cross-sectional diameter of the micro sound attenuation structure. The structure density represents the number of the micro sound attenuation structure in the breath capturing membrane. The arrangement manner represents the distribution form of the micro sound attenuation structure in the breath capturing membrane. For example, the micro sound attenuation structure is set as a circular micro cavity, the structure depth is set according to the breath capturing membrane, and the structure depth is one quarter of the breath capturing membrane to avoid damaging the membrane structure. The structure diameter is kept the same as the diameter of the breath capturing membrane to avoid space interference between the sound attenuation structure and the fitting point. The structure density is set according to the IK protection level accuracy. The low protection level is set as one micro sound attenuation structure per square millimeter, the medium protection level is set as three micro sound attenuation structures per square millimeter, and the high protection level is set as five micro sound attenuation structures per square millimeter. The arrangement manner adopts a square distribution, and the interval is 2 times the structure. A detector is used to synchronously record residual vibration, and the residual vibration includes an amplitude peak value, a vibration duration, and a phase. The amplitude peak value represents the maximum displacement of the risk area from the equilibrium position during the vibration after the micro sound attenuation structure is implanted. The vibration duration represents the time required for the residual vibration to decay to the quiet standard after the risk area is subjected to external force. The phase refers to the position relationship of the residual vibration signal in time or space.

[0103] In step S33, a reverse vibration is emitted to the residual vibration to offset the residual vibration amplitude.

[0104] A piezoelectric exciter is installed at a key position of the stress conduction path. The piezoelectric exciter emits a reverse vibration with a phase difference of 180° and a frequency matched with the residual vibration of the core high-risk area and the low-risk area to offset the residual vibration amplitude through destructive interference. The piezoelectric exciter also blocks the spread of resonance along the stress conduction path, makes up for the deficiency that the micro sound attenuation structure cannot eliminate stubborn resonance, and avoids the stress accumulation caused by vibration to cause material warping, blistering and other failure problems. The key position refers to the branch starting point of the main extension direction and the branch of the stress conduction path and the concentrated distribution point of the root hair fitting point in the stress sensitive area covered by the branch. The installation density of the piezoelectric exciter is set according to the IK protection level. For example, the interval is set to 10-20 mm for the high protection level, the interval is set to 20-30 mm for the medium protection level, and the interval is set to 30-50 mm for the low protection level. The piezoelectric exciter is installed to avoid direct contact with the surface of the material to be fitted.

[0105] The automatic hammer and the vibration sensor are reused to repeatedly measure the core high-risk area and the low-risk area, and to obtain the vibration characteristic parameters. The difference between the reused automatic hammer and the vibration sensor and step S31 is that a dynamic adjustment of the excitation frequency in a certain frequency range is adopted, and the core high-risk area and the low-risk area are traversed at a grid spacing of 5-20 mm to ensure that all resonance sensitive points are covered, and the sampling target is to collect the vibration response signal after knocking. The dynamic adjustment of the excitation frequency in a certain frequency range means that the frequency of the knocking excitation is gradually adjusted at a set frequency interval in a preset frequency range to realize full coverage collection of the vibration response of the material at different frequencies; the preset frequency range is determined according to the resonance frequency band that may appear in the material to be attached, for example, 10-50 Hz for a thin film material and 50-200 Hz for a thick plate material. The set frequency interval is set according to the accuracy requirement of the natural frequency of the material to be attached and the resonance frequency band range, for example, 0.1 Hz / step. The vibration response signal includes vibration acceleration data with a time stamp and real-time vibration amplitude change relationship, and the vibration acceleration peak value is recorded, that is, the maximum value of the vibration acceleration of the material to be attached due to residual vibration in the monitoring period. The vibration characteristic parameters are obtained by denoising and Fourier transform of the vibration response signal, and the vibration characteristic parameters include the material natural frequency and the vibration mode. The material natural frequency represents the vibration frequency and material quality characteristics of the material to be attached, and the purpose is to ensure that the reverse vibration emitted by the piezoelectric exciter is accurately matched with the residual vibration frequency of the material to be attached. The vibration mode represents the concentrated position, amplitude strength distribution and vibration propagation direction of the vibration energy in space when the material to be attached vibrates, and the purpose is to guide the layout of the piezoelectric exciter, develop a regional neutralization strategy, and ensure that all vibration areas are covered.

[0106] The vibration characteristic parameters are calculated to obtain the reverse vibration control parameters. The reverse vibration control parameters include phase difference, duration and amplitude. The phase difference represents the phase difference between the reverse vibration output by the piezoelectric exciter and the residual vibration in the core high-risk area and the low-risk area, which is 180°, and is calculated by using wave equation analysis; to ensure that the reverse vibration reaches the target area and accurately forms destructive interference with the residual vibration; the duration represents the duration of the reverse vibration output by the piezoelectric exciter; and the amplitude represents the vibration intensity of the reverse vibration, which is determined according to the purpose of enabling the reverse vibration to have enough energy to offset the residual vibration while avoiding damage to the material or micro-silencing structure due to high intensity.

[0107] The piezoelectric exciter emits reverse vibration based on the reverse vibration control parameters. For the core high-risk area, a point excitation mode is used, with the piezoelectric exciter emitting reverse vibration at the nodes of the risk area. For the low-risk area, a line excitation mode is used, with multiple piezoelectric exciters arranged along the branch extension direction. The automated hammer and vibration sensor are reused to remeasure the vibration acceleration peak values ​​of the core high-risk and low-risk areas. The vibration acceleration peak values ​​obtained from the second reuse are compared with those obtained before the reuse. If the reduction in vibration acceleration peak values ​​in the core high-risk and low-risk areas is less than a preset proportion for reuse detection, it is marked as a silent zone. Otherwise, the reverse vibration control parameters are recalculated and reverse vibration is emitted again, performing a third reuse until the reduction is less than a preset proportion for reuse detection. The preset proportion represents the ratio of the vibration acceleration peak value obtained from the second, third, or multiple reuses to the vibration acceleration peak value obtained from the first reuse in step S33, with an exemplary setting range of 80% to 90%.

[0108] Step S30 addresses the technical challenges in fully bonded production lines: the difficulty in accurately quantifying and identifying vibrations in high-risk areas, incomplete suppression of the tuning fork effect, and lack of closed-loop control for residual vibration elimination. These challenges lead to material warping, blistering, or delamination after bonding due to continuous vibration. Furthermore, traditional processes rely on experience-based vibration damping and cannot adapt to vibration control requirements of different IK protection levels. Specifically, the synergy between vibration sensors and automated hammers accurately collects vibration responses and identifies areas with strong tuning fork effects, providing a quantitative basis for risk level classification. Differential identification of high-risk and low-risk areas allows for targeted treatment rather than a one-size-fits-all approach, avoiding resource waste and improving vibration damping efficiency. Microscopic noise-absorbing structures alter local stress transmission paths, absorbing vibration energy at its source and effectively suppressing the tuning fork effect. Reverse vibration specifically counteracts stubborn residual vibrations that microscopic noise-absorbing structures cannot eliminate, blocking resonance diffusion along the stress transmission path. Multiple reuse detection by automated hammers and vibration sensors ensures that both high-risk and low-risk areas meet noise reduction standards.

[0109] Example 2

[0110] This embodiment, based on Embodiment 1, provides an online deviation correction device for a fully laminating production line, such as... Figure 4 As shown, it includes:

[0111] Breathing Sensing Module: Used to set up the breathing capture membrane and establish a laser interferometer array to collect the vibration response of the breathing capture membrane; calculate the vibration response to obtain the material mass set; and use the material mass set and the laser interferometer array to construct a sleep quality map.

[0112] The path planning module is configured to formulate an optimal fitting path for the sleep quality map, formulate a stress conduction path on the optimal fitting path, identify a stress sensitive area, establish a root hair fitting point network for the stress sensitive area, judge the root hair fitting point network, and obtain a risk area.

[0113] The risk processing module is configured to collect vibration data of the risk area, identify a core high-risk area and a low-risk area using the vibration data and record residual vibration, emit reverse vibration to the residual vibration, and offset the residual vibration amplitude.

[0114] In the respiration sensing module, a respiration capturing membrane is provided, vibration responses of the respiration capturing membrane are collected, and a laser interferometer array is established; the vibration responses are calculated to obtain a material quality set; the sleep quality map is constructed using the material quality set and the laser interferometer array, including:

[0115] Step S11, a respiration capturing membrane is provided, and a laser interferometer array is established to collect vibration responses of the respiration capturing membrane;

[0116] Step S12, the vibration responses are calculated to obtain a material quality set;

[0117] Step S13, the sleep quality map is constructed using the material quality set and the laser interferometer array.

[0118] In the path planning module, an optimal fitting path is formulated for the sleep quality map, a stress conduction path is formulated on the optimal fitting path, a stress sensitive area is identified, a root hair fitting point network is established for the stress sensitive area, the root hair fitting point network is judged, and a risk area is obtained, including:

[0119] Step S21, an optimal fitting path is formulated for the sleep quality map;

[0120] Step S22, a stress conduction path is formulated using the optimal fitting path, the stress conduction path is monitored, a stress sensitive area is identified;

[0121] Step 23, a root hair fitting point network is established for the stress sensitive area, the root hair fitting point network is judged, and a risk area is obtained.

[0122] In the risk processing module, vibration data of the risk area is collected, a core high-risk area and a low-risk area are identified using the vibration data and residual vibration is recorded, reverse vibration is emitted to the residual vibration, and the residual vibration amplitude is offset, including:

[0123] Step S31, vibration data of the risk area is collected, a core high-risk area and a low-risk area are identified using the vibration data;

[0124] Step S32, implanting micro-damping structure to the core high-risk area and low-risk area and recording residual vibration;

[0125] Step S33, emitting reverse vibration to the residual vibration to offset the residual vibration amplitude.

[0126] The methods and systems of this application can be implemented in a number of ways. For example, the methods and systems of this application can be implemented via software, hardware, firmware, or any combination of software, hardware, and / or firmware. The above-described order of steps for the methods is merely illustrative, and the steps of the methods of this application are not limited to the specific order described above unless otherwise specifically stated.

[0127] In addition, parts of the above technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of corresponding technical solutions in the prior art are not described in detail to avoid excessive repetition.

[0128] The specific embodiments described above are further explained with reference to the accompanying drawings. The purpose of this description is to illustrate the inventive aspects of this application and not to limit the scope of the application. Any modifications made to the above-described embodiments should be considered within the scope of the present application.

Claims

1. An online correction method for a fully laminating production line, characterized in that, The method includes: A breathing trap membrane is set up, and a laser interferometer array is established to collect the vibration response of the breathing trap membrane; the vibration response is calculated to obtain the material mass set; using the material mass set and the laser interferometer array, a sleep quality map is constructed. The optimal fitting path is determined for the sleep quality map, the stress transmission path is determined on the optimal fitting path, and the stress-sensitive area is identified. A root hair fitting point network is established for the stress-sensitive area, and the root hair fitting point network is judged to obtain the risk area. Collect vibration data from the risk area, use the vibration data to identify the core high-risk area and low-risk area and record residual vibration, and emit reverse vibration to cancel out the residual vibration amplitude. The method for collecting the vibration response of the respiratory capture membrane includes: A breathable membrane is placed above the surface of the material to be bonded, which captures the fine airflow formed on the surface of the material to be bonded due to stress release. A laser interferometer array is arranged between the breath-capturing membrane and the surface of the material to be bonded. The laser interferometer array is an array formed by multiple grid regions. The material breathing frequency, material inhalation depth, and material exhalation time of the breathing capture membrane are collected by a laser interferometer unit. The material breathing frequency, material inhalation depth, and material exhalation time are combined to obtain the vibration response of the breathing capture membrane. The method for calculating the vibration response to obtain the material mass set includes: The stress state of each grid region in the laser interferometer array is calculated using the breathing frequency. The inhalation depth and exhalation time of the material are calculated to obtain the breathing depth ratio. The stress release state of each grid region in the laser interferometer array is determined by the breathing depth ratio. By correlating the stress state and stress release state of a single grid region and statistically analyzing the stress state and stress release state of all grid regions, a set of material mass values ​​is obtained. The method for constructing a sleep quality map includes: Each grid region of the laser interferometer array is uniquely numbered according to its division; Sleep quality labels are defined for grid areas based on material quality sets. Sleep quality labels include bonding areas, single pre-treated bonding areas, and double pre-treated bonding areas. When the bonding quality of the mesh area is good and the stress state of the mesh area is dormant or moderate, it belongs to the bonding zone; when the bonding quality of the mesh area is difficult to release and the stress state of the mesh area is moderate, when the bonding quality of the mesh area is good and the stress state of the mesh area is active, when the bonding quality of the mesh area is too loose and the stress state of the mesh area is dormant, it belongs to the single pre-treatment bonding zone; when the bonding quality of the mesh area is difficult to release and the stress state of the mesh area is active, it belongs to the double pre-treatment bonding zone. Each grid area is uniquely assigned a sleep quality identifier, and the grid areas are categorized using color coding to create a sleep quality map. The method for determining the optimal fitting path for a sleep quality map includes: Prioritize selecting continuous grid areas with the highest concentration of fitable regions from the sleep quality map; The optimal fitting path prioritizes the continuous grid area with the most concentrated fitable area in the sleep quality map. From the most concentrated continuous grid area, the grid area with the smallest absolute value of the difference between the material's respiratory rate and the lower limit of normal breathing is selected as the fitting starting point. In the continuous grid area where the bonding area is most concentrated, the bonding starting point is determined, and the optimal bonding path is generated according to the principle of continuous coverage from the center to the edge or adjacent grid. The method for determining the stress transmission path on the optimal bonding path and identifying stress-sensitive areas includes: The diagonal intersection of the first mesh region that has completed bonding in the optimal bonding path is taken as the starting point of the stress transmission path. The anisotropic strength data of the material to be bonded is obtained, and the main extension direction of the stress transmission path is determined based on the anisotropic strength data. The stress conditions of the grid regions along the stress transmission path are monitored in real time to obtain the stress value of each grid region. The stress values ​​are compared and the grid regions with the compared stress values ​​are marked to obtain the stress-sensitive regions. The method for obtaining the risk area includes: A root hair bonding point network is established for the stress-sensitive area, and multiple bonding points are set in the stress-sensitive area. Local stress in stress-sensitive areas is detected, and the bonding load-bearing capacity of the bonding point is calculated based on the bonding point and local stress. The bonding load-bearing capacity of the bonding points is assessed to identify the risk areas.

2. The online correction method for a fully laminating production line according to claim 1, characterized in that, The method for identifying core high-risk areas and low-risk areas includes: The intersection of the diagonals of the risk area is taken as a node. The grid area where the node is located is uniformly tapped by an automated hammer, and the vibration data of the risk area is obtained by sampling through a vibration sensor. Vibration echo time is obtained from vibration data. The vibration echo time is judged, and the grid area corresponding to the vibration echo time is marked as a strong tuning fork effect area. By associating and filtering areas with strong tuning fork effects with risk areas, core high-risk areas and low-risk areas are obtained.

3. The online correction method for a fully laminating production line according to claim 2, characterized in that, The method of emitting a reverse vibration to cancel out the amplitude of the residual vibration includes: The vibration characteristic parameters were obtained by re-measuring the core high-risk area and low-risk area. The vibration characteristic parameters are calculated to obtain the reverse vibration control parameters; Piezoelectric exciters are installed at key locations along the stress transmission path. Based on the reverse vibration control parameters, the piezoelectric exciters emit reverse vibrations to the core high-risk and low-risk areas. The reverse vibrations refer to the reverse vibrations that are 180° out of phase and have the same frequency as the residual vibrations in the core high-risk and low-risk areas, thus achieving the effect of offsetting the amplitude of the residual vibrations.

4. An online web guiding device for a fully laminating production line, used to implement the online web guiding method for a fully laminating production line as described in any one of claims 1-3, characterized in that, The device includes: Breathing Sensing Module: Used to set up the breathing capture membrane and establish a laser interferometer array to collect the vibration response of the breathing capture membrane; calculate the vibration response to obtain the material mass set; and use the material mass set and the laser interferometer array to construct a sleep quality map. Path planning module: Used to determine the optimal fitting path for the sleep quality map, determine the stress transmission path on the optimal fitting path, identify stress-sensitive areas, establish a root hair fitting point network for stress-sensitive areas, and judge the root hair fitting point network to obtain risk areas. Risk processing module: Used to collect vibration data of risk areas, identify core high-risk areas and low-risk areas using vibration data and record residual vibrations, and emit reverse vibrations to cancel out the residual vibration amplitude.

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