Program method for automatically laminating steel wire mesh cloth

Abstract

The invention relates to the technical field of industrial composite material manufacturing, and discloses a procedure method for automatically laminating a steel wire mesh, and the method comprises a material pretreatment module, a laminating execution module, a quality control module and a module cooperation mechanism; a dynamic activation unit is arranged, when steel wire mesh film coating pretreatment is carried out, a surface contact angle real-time monitoring standard is established, plasma treatment parameters are intelligently adjusted according to different base material characteristics, the surface energy control accuracy is guaranteed, and a base material pollution layer is dynamically eliminated based on plasma flow of a specific gas combination; an insufficient activation area is detected and corrected in real time, the bonding strength of a base material and an adhesive layer is enhanced, the demolding problem caused by a traditional process is solved, and the adhesive layer forming process parameters are monitored in real time by arranging a closed-loop adhesive coating unit and establishing a cooperative mechanism of a control model with the viscosity changing along with the temperature and a flow calculation formula. The problem that the thickness of a glue layer is out of control due to temperature fluctuation in a traditional process is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of industrial composite material manufacturing, in particular to a program method for automatic film covering of steel wire mesh cloth. BACKGROUND

[0002] Steel wire mesh is a general term for net-shaped materials woven and welded from low-carbon steel wire, medium-carbon steel wire, high-carbon steel wire, and stainless steel wire materials. The production process includes ordinary weaving type, embossed weaving type, and spot welding type. It is mainly made of steel wire and processed into a net shape by professional equipment, hence the name steel wire mesh. In the field of building reinforcement and protection engineering, the surface film covering process of steel wire mesh determines its weather resistance and mechanical properties.

[0003] The main defects of the existing program method for automatic film covering of steel wire mesh cloth include:

[0004] 1. Outdated surface pretreatment technology:

[0005] The surface pretreatment link generally uses chemical solvent scrubbing and mechanical polishing, resulting in unstable activation effect of the base material, large fluctuations in surface energy, and residual chemicals that can weaken the adhesive layer bonding force. Frequent film peeling occurs during production. The traditional process relies on operator experience to judge the activation effect and lacks quantitative control standards.

[0006] 2. Lack of dynamic compensation in glue application control:

[0007] The glue application process uses a fixed parameter control mode, which cannot adapt to changes in working conditions. When the environmental temperature fluctuates, the viscosity of the adhesive drifts, causing uneven distribution of the glue layer thickness. Production data shows that this link has become the main source of quality fluctuations, but the existing technology has not established a dynamic compensation mechanism.

[0008] 3. Insufficient composite precision:

[0009] The composite process has insufficient accuracy. The mechanical positioning method causes large deviation in film alignment, especially in areas with varying base material thickness, where poor adhesion is common. The current solution uses a constant pressure composite strategy, which cannot adapt to material thickness changes and causes local adhesion failure.

[0010] 4. Lack of quality traceability mechanism:

[0011] The quality control system has defects. The manual sampling inspection mode results in high abnormal thickness product leakage rate, and the dispersed storage of process data and quality information cannot be correlated, making it difficult to trace defective products to specific production links. This fragmented data state restricts the process optimization process.

[0012] Therefore, aiming at the above problems, the application provides a program method for automatic film covering of steel wire mesh cloth, which can fuse the innovative scheme of real-time parameter optimization, multi-factor collaborative control and full-link data tracing, and solves the key problems of uneven pretreatment, out-of-control glue layer, insufficient composite precision and quality tracing rupture. SUMMARY

[0013] (I) Technical problems solved

[0014] In view of the deficiencies in the prior art, the application provides a program method for automatic film covering of steel wire mesh cloth, which solves the problems raised in the background art.

[0015] (II) Technical solutions

[0016] To achieve the above object, the application provides the following technical solutions: a program method for automatic film covering of steel wire mesh cloth, which realizes automatic control of the whole film covering process through a central control unit coordinating an actuator, including the following steps:

[0017] S1, preparing steel wire mesh cloth substrate and film material, and assembling the coiled materials to the film covering production line through an automatic loading device;

[0018] S2, activating a unwinding mechanism to synchronously release the steel wire mesh cloth substrate and the film material;

[0019] S3, performing film covering pretreatment: performing plasma cleaning treatment on the surface of the steel wire mesh cloth and monitoring the surface energy parameter in real time to generate substrate activation data;

[0020] S4, dynamic glue coating treatment: adjusting the adhesive spraying parameters according to the substrate activation data to form a uniform glue layer on the surface of the steel wire mesh cloth and generating a glue coating thickness distribution map;

[0021] S5, precise composite treatment: combining the film with the glued steel wire mesh cloth through a high-precision alignment mechanism to generate composite pressure trajectory data;

[0022] S6, gradient curing treatment: 50 DEG C pre-curing for 30 seconds→70 DEG C final curing for 45 seconds;

[0023] S7, quality monitoring treatment: collecting the film layer thickness and adhesion defect data in real time through a thickness sensor and an infrared imager to generate quality feedback signals;

[0024] S8, dynamic regulation treatment: the central control unit corrects the glue coating flow, composite pressure and temperature parameters in real time based on the quality feedback signals;

[0025] S9, winding treatment: winding the film finished product at a constant tension through a tension closed-loop control system to generate coiled material tightness parameters;

[0026] S10, output the coating quality report: integrate the glue thickness distribution chart, the composite pressure trajectory data and the roll tightness parameter to generate the process traceability document.

[0027] Preferably, the S1 step specifically includes:

[0028] S11, read the material code and width parameter of the steel wire mesh cloth roll through the RFID identification device;

[0029] S12, the central control unit calls the corresponding film type and adhesive formula based on the material code;

[0030] S13, the automated guided vehicle transports the matched film roll to the coating production line loading station;

[0031] S14, the pneumatic clamp synchronously grabs the steel wire mesh cloth roll and the film roll to assemble to the double-station unwinding machine.

[0032] Preferably, the plasma cleaning treatment in the S3 step specifically includes:

[0033] S31, introduce the argon and oxygen mixed gas into the closed treatment cabin, and the gas ratio is 3:1;

[0034] S32, generate the plasma flow by applying the 15 kHz high-frequency electric field;

[0035] S33, obtain the substrate contact angle data θ in real time through the surface tension detector;

[0036] S34, when the contact angle θ is less than 35°, determine that the activation is qualified, and generate the substrate activation qualified signal.

[0037] Preferably, the dynamic glue coating treatment of the S4 step includes:

[0038] S41, build the adhesive viscosity-temperature control model:

[0039]

[0040] Wherein η is the real-time viscosity, η0 is the reference viscosity, T is the glue temperature, T0 is the reference temperature, and k is the correction coefficient;

[0041] S42, adjust the adhesive flow Q through the gear pump, which satisfies:

[0042]

[0043] Wherein Q is the adhesive spraying flow, v is the steel wire mesh cloth transmission speed, w is the substrate width, h is the target glue layer thickness, and ρ is the adhesive density;

[0044] S43, use the ultrasonic atomizing nozzle to spray the adhesive at 0.5 MPa pressure.

[0045] Preferably, the precise composite processing of the S5 step is specifically:

[0046] S51, capture the position deviation Δd of the film edge and the steel wire mesh cloth edge through the CCD vision system;

[0047] S52, trigger the correction mechanism when Δd is greater than 0.5mm, and the correction response time is less than 100ms;

[0048] S53, control the composite roller pressure P by gradient:

[0049]

[0050] Wherein P is the pressure applied by the composite roller, and δ is the thickness of the steel wire mesh cloth base material;

[0051] S54, generate a pressure function P(t) of the composite pressure changing with time.

[0052] Preferably, the curing treatment of the S6 step adopts a zoning temperature control strategy:

[0053] S61, set three groups of infrared heating plates in the pre-curing zone, and the temperature difference between the plates is less than 2℃;

[0054] S62, adopt a hot air circulation system in the final curing zone, and the wind speed is controlled at 2.5m / s;

[0055] S63, set a curing degree detector at the outlet of the curing zone, and trigger the winding instruction when the crosslinking degree is greater than 85%.

[0056] Preferably, the quality monitoring process of the S7 step includes:

[0057] S71, obtain the film thickness sequence {δ1, δ2,..., δ n} through the β-ray thickness sensor with a sampling frequency of 100Hz;

[0058] S72, mark as thickness defect points when there is δ i less than 0.15mm, and δ i greater than 0.25mm;

[0059] S73, detect the air bubble defects of the adhesive layer through the infrared imager, and generate the defect coordinate data when the air bubble diameter is greater than 0.3mm.

[0060] Preferably, the dynamic regulation process of the S8 step is implemented as:

[0061] S81, establish a PID control model to adjust the glue coating flow:

[0062]

[0063] wherein u(t) is the glue coating flow adjustment amount, e(t) is the deviation between the glue layer thickness set value and the measured value, K p is the proportional gain coefficient, K i is the integral gain coefficient, K d is the differential gain coefficient, and t is the time variable;

[0064] S82, when the bubble defect is detected, the composite pressure is automatically increased by 15%;

[0065] S83, when the substrate transmission speed changes by more than 20%, the curing zone temperature set value is adjusted synchronously.

[0066] Preferably, the winding process of the S9 step comprises:

[0067] S91, the winding tension value F is fed back in real time through the tension sensor;

[0068] S92, the servo motor adjusts the torque according to the tension deviation ΔF:

[0069] ΔT=k·ΔF·R

[0070] wherein k is the gain coefficient 0.8, R is the winding radius, ΔF is the deviation between the tension set value and the measured value, and ΔT is the servo motor torque adjustment amount;

[0071] S93, the calculation formula of the winding tightness parameter C is:

[0072]

[0073] When C is less than 5%, it is determined to be qualified;

[0074] wherein C is the winding tightness parameter, n is the total number of sampling points, F i is the tension measured value of the i-th sampling point, and F net is the tension set value.

[0075] Preferably, the S10 step further comprises:

[0076] S101, a process parameter relationship matrix is constructed:

[0077]

[0078] wherein R is the process parameter relationship matrix, P is the composite pressure, T is the curing temperature, v is the transmission speed, Q is the glue coating flow, δ is the film thickness, Δd is the alignment deviation, C is the winding tightness, and η is the adhesive viscosity;

[0079] S102, the relationship matrix and the quality data are written into the tamper-proof storage module through the block chain technology;

[0080] S103, generate a three-level traceability report containing the material batch number, process parameter chain, and quality score.

[0081] (III) Beneficial Effects

[0082] Compared with the prior art, the present application provides a program method for automatic film covering of steel wire mesh cloth, which has the following beneficial effects:

[0083] 1. In the present application, by setting a dynamic activation unit, when carrying out steel wire mesh cloth film coating pretreatment, a real-time monitoring standard of surface contact angle is established, plasma treatment parameters are intelligently adjusted according to different substrate characteristics, the accuracy of surface energy control is ensured, the substrate pollution layer is dynamically eliminated based on the plasma flow of a specific gas combination, the insufficient activation area is detected and corrected in real time, the bonding strength of the substrate and the adhesive layer is enhanced, and the demolding problem caused by traditional process is solved.

[0084] 2. In the present application, by setting a closed-loop gluing unit, when carrying out adhesive spraying, a control model of viscosity change with temperature and a collaborative mechanism of flow calculation formula are established, the adhesive layer formation process parameters are monitored in real time, the spraying parameters are automatically adjusted when the environmental conditions change, the uniformity of the adhesive layer distribution is ensured, and the problem of adhesive layer thickness out of control caused by temperature fluctuation in traditional process is overcome.

[0085] 3. In the present application, by setting an intelligent composite unit, when carrying out the film composite process, the vision system continuously scans the substrate edge position, the film alignment deviation value is calculated in real time, the high-precision correction mechanism is triggered when the position deviation is found, and the composite pressure parameters are automatically switched combined with the substrate thickness change, the alignment accuracy is improved, and the problems of film deviation and poor adhesion caused by mechanical positioning are solved.

[0086] 4. In the present application, by setting a full-process traceability unit, a binding mechanism of process parameters and quality indicators is established in the production process, the material characteristics, production parameters and test results are associated in real time, when quality defects are found, the specific production link is quickly traced back, the process optimization efficiency is improved, and the problem of difficult traceability caused by data fragmentation in traditional mode is solved. BRIEF DESCRIPTION OF DRAWINGS

[0087] Figure 1 The method flowchart of the present application. DETAILED DESCRIPTION

[0088] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0089] Please refer to Figure 1 The automatic film coating process of the steel mesh cloth, the method realizes the automatic control of the whole process of film coating through the central control unit and the actuator, and comprises the following steps:

[0090] S1, preparing the steel mesh cloth substrate and film material, and assembling the roll material to the film coating production line through the automatic loading device;

[0091] S2, activating the unwinding mechanism to synchronously release the steel mesh cloth substrate and the film material;

[0092] S3, performing film coating pretreatment: performing plasma cleaning treatment on the surface of the steel mesh cloth and monitoring the surface energy parameters in real time to generate substrate activation data;

[0093] S4, dynamic glue coating treatment: adjusting the adhesive spraying parameters according to the substrate activation data to form a uniform glue layer on the surface of the steel mesh cloth and generating a glue coating thickness distribution map;

[0094] S5, precise compounding treatment: compounding the film and the glued steel mesh cloth through a high-precision alignment mechanism to generate composite pressure trajectory data;

[0095] S6, gradient curing treatment: 50°C pre-curing for 30 seconds→70°C final curing for 45 seconds;

[0096] S7, quality monitoring treatment: collecting the film layer thickness and adhesion defect data in real time through the thickness sensor and the infrared imager to generate quality feedback signals;

[0097] S8, dynamic regulation treatment: the central control unit corrects the glue flow, compounding pressure and temperature parameters in real time based on the quality feedback signals;

[0098] S9, winding treatment: winding the film product with constant tension through the tension closed-loop control system to generate roll tightness parameters;

[0099] S10, output film quality report: integrating the glue coating thickness distribution map, composite pressure trajectory data and roll tightness parameters to generate process traceability documents.

[0100] The S1 step specifically comprises:

[0101] S11, reading the material code and width parameters of the steel mesh cloth roll through the RFID identification device;

[0102] S12, the central control unit calls the corresponding film type and adhesive formula based on the material code through the database matching;

[0103] S13, the automatic guided vehicle transports the matched film roll to the film coating production line loading station;

[0104] S14, the pneumatic clamp synchronously grabs the steel wire mesh cloth roll and the film roll and is assembled to the double-station unwinding machine.

[0105] The plasma cleaning treatment in S3 is specifically:

[0106] S31, a mixed gas of argon and oxygen is introduced into the closed treatment cabin, and the gas ratio is 3:1;

[0107] S32, a high-frequency electric field of 15 kHz is applied to generate a plasma flow;

[0108] S33, the contact angle data θ of the substrate is obtained in real time by a surface tension detector;

[0109] S34, when the contact angle θ is less than 35°, it is determined that the activation is qualified, and a substrate activation qualified signal is generated.

[0110] The dynamic gluing process of S4 includes:

[0111] S41, a glue viscosity-temperature control model is constructed:

[0112]

[0113] Wherein η is the real-time viscosity, η0 is the reference viscosity, T is the glue temperature, T0 is the reference temperature, and k is the correction coefficient;

[0114] S42, the glue flow Q is adjusted by a gear pump, and the following formula is satisfied:

[0115]

[0116] Wherein Q is the glue spraying flow, v is the steel wire mesh cloth transmission speed, w is the substrate width, h is the target glue layer thickness, and ρ is the glue density;

[0117] S43, the glue is sprayed by an ultrasonic atomizing nozzle at a pressure of 0.5 MPa.

[0118] The precise compounding process of S5 is specifically:

[0119] S51, the position deviation Δd of the film edge and the steel wire mesh cloth edge is captured by a CCD vision system;

[0120] S52, when Δd is greater than 0.5 mm, the correction mechanism is triggered, and the correction response time is less than 100 ms;

[0121] S53, the compounding roller pressure P is controlled according to the gradient:

[0122]

[0123] Wherein P is the compounding roller applied pressure, and δ is the steel wire mesh cloth substrate thickness;

[0124] S54, generating a pressure function P(t) of the composite pressure change over time.

[0125] The curing process of step S6 adopts a zoning temperature control strategy:

[0126] S61, three groups of infrared heating plates are arranged in the pre-curing zone, and the temperature difference between the plates is less than 2℃;

[0127] S62, a hot air circulation system is used in the final curing zone, and the wind speed is controlled at 2.5m / s;

[0128] S63, a curing degree detector is arranged at the outlet of the curing zone, and when the crosslinking degree is greater than 85%, a winding instruction is triggered.

[0129] The quality monitoring process of step S7 includes:

[0130] S71, a β-ray thickness sensor is used to obtain a film layer thickness sequence {δ1, δ2,..., δ n} with a sampling frequency of 100Hz;

[0131] S72, when δ i is less than 0.15mm, and δ i is greater than 0.25mm, it is marked as a thickness defect point;

[0132] S73, an infrared imager is used to detect the air bubble defects of the adhesive layer, and when the air bubble diameter is greater than 0.3mm, defect coordinate data is generated.

[0133] The dynamic regulation process of step S8 is implemented as follows:

[0134] S81, a PID control model is established to adjust the glue coating flow:

[0135]

[0136] Where u(t) is the glue coating flow adjustment amount, e(t) is the deviation between the set value and the measured value of the adhesive layer thickness, K p is the proportional gain coefficient, K i is the integral gain coefficient, and K d is the differential gain coefficient, and t is the time variable;

[0137] S82, when air bubble defects are detected, the composite pressure is automatically increased by 15%;

[0138] S83, when the substrate transmission speed changes by more than 20%, the curing zone temperature set value is adjusted synchronously.

[0139] The winding process of step S9 includes:

[0140] S91, the tension sensor is used to feed back the winding tension value F in real time;

[0141] S92, the servo motor adjusts the torque according to the tension deviation AF:

[0142] AF = k DR

[0143] Wherein k is the gain coefficient 0.8, R is the radius of the coil; AF is the tension set value and the measured value deviation, AT is the servo motor torque adjustment amount;

[0144] S93, the calculation formula of the coil tightness parameter C is:

[0145]

[0146] When C is less than 5%, it is determined to be qualified;

[0147] Wherein C is the coil tightness parameter, n is the total number of sampling points, F i is the measured value of the i-th sampling point tension, F net is the tension set value.

[0148] S10 step also includes:

[0149] S101, the process parameter relationship matrix is constructed:

[0150]

[0151] Wherein R is the process parameter relationship matrix, P is the composite pressure, T is the curing temperature, v is the transmission speed, Q is the glue flow, δ is the film thickness, Δd is the alignment deviation, C is the coil tightness, η is the adhesive viscosity;

[0152] S102, the relationship matrix and quality data are written into the tamper-proof storage module through the block chain technology;

[0153] S103, a three-level traceability report containing material batch number, process parameter chain and quality score is generated.

[0154] Including the following functional modules:

[0155] Material pretreatment module:

[0156] Coil identification unit: obtain the steel wire mesh material code through RFID reader, call the database to match the film type and adhesive formula;

[0157] Plasma activation unit: including argon-oxygen mixed gas path control valve, high-frequency electric field generator and contact angle detector; base material transmission unit: double-station unwinding machine driven by servo motor, transmission speed control precision 0.05 meters / second; film coating execution module:

[0158] Dynamic gluing unit: including viscosity temperature controller, gear metering pump and ultrasonic atomizing nozzle group;

[0159] High-precision composite unit: integrated CCD vision correction system, hydraulic composite roller;

[0160] Gradient curing unit: configure partition temperature control infrared heating plate and hot air circulation system;

[0161] Quality control module:

[0162] Online monitoring unit: contains beta-ray thickness sensor, infrared defect scanner and tension feedback device;

[0163] Dynamic control unit: built-in PID controller and parameter optimization algorithm library;

[0164] Data traceability unit: process database and three-level report generator based on blockchain;

[0165] Module coordination mechanism:

[0166] The output end of the material pretreatment module is connected to the input end of the film coating execution module, and the activation qualified signal is transmitted to the gluing unit;

[0167] The output end of the film coating execution module is connected to the quality control module through the industrial bus, and the composite pressure and temperature gradient data are transmitted in real time;

[0168] The quality feedback signal generated by the quality control module is transmitted reversely to the film coating execution module, triggering the dynamic adjustment of the gluing flow and the composite pressure.

[0169] Example 1: carbon steel wire mesh film coating:

[0170] In the production of 1.2 mm thick carbon steel wire mesh film, the system first identifies the material code by RFID, automatically matches 0.25 mm polyethylene film and water-based polyurethane adhesive. The plasma activation link uses argon-oxygen mixed gas and 14 kHz high frequency electric field treatment for 40 seconds, which reduces the contact angle to 28° and generates qualified signals. When the substrate is transmitted at 3 meters per minute, the viscosity controller detects that the glue temperature rises to 38°C, and immediately starts the cooling unit to stabilize the temperature at 25°C. The gear pump calculates the required flow of 52 ml / min for the target glue layer of 0.2 mm. The CCD vision system finds that the film is left 0.7 mm, and the correction mechanism corrects it to 0.08 mm within 70 ms. The hydraulic compound roller automatically switches the pressure to 1.0 MPa according to the thickness of the substrate. The gradient curing stage maintains 65°C / 35 seconds in the pre-curing area and 85°C / 50 seconds in the final curing area. When the beta ray sensor detects 0.12 mm ultra-thin points, the system synchronously executes threefold regulation of flow increase by 8 ml / min, pressure increase to 1.1 MPa, and curing temperature increase by 2°C, which stabilizes the glue layer thickness to 0.22 mm for the next 300 meters. The winding tension is closed-loop controlled at 180 N, and the tightness of the roll is 2.3%. The blockchain system generates a traceability report containing material batch, process parameters and quality indicators, showing that the thickness qualification rate is 99.5%, the activation qualification rate is increased to 99.8%, and the alignment accuracy is controlled within 0.1 mm.

[0171] Example 2: Zinc-aluminum alloy mesh film:

[0172] For the ultra-thin film of 0.8 mm zinc-aluminum alloy mesh, the system identifies the material code and intelligently matches 0.12 mm fluorocarbon film and silane-modified adhesive. The plasma treatment innovation uses argon, nitrogen mixed gas and 10 kHz high frequency electric field, which reduces the contact angle to 36° within 45 seconds. Under the condition of 4 meters per minute high-speed transmission, the viscosity controller automatically prolongs the glue flow casting time by 15% according to the environmental humidity rising to 60%, the CCD vision system opens the high sensitivity mode, successfully eliminates the 0.3 mm alignment deviation at the joint of the substrate, and the compound pressure executes dynamic slope control. After artificially introducing dust pollution, the infrared imager locks the coordinates of the 0.4 mm diameter bubble within 2 seconds, the traceability unit immediately correlates the process parameters of this section and reversely corrects the pretreatment gas ratio. After cutting the defective section, the system automatically compensates 3 meters of production. The winding tension is dynamically adjusted with the roll diameter, and the tightness is stabilized at 4.2%. The blockchain report generates a complete traceability chain within 4 seconds, records the material batch, dust pollution event location and compensation measures, and compresses the thickness range to 0.04 mm.

[0173] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; it is not intended to exclude myriad other embodiments of the present application that other inventors can develop based on the same general inventive concepts embodied by the described embodiments. That is, although the present application is described in terms of particular embodiments and implementations, it is to be understood that the terminology used is for the purpose of descriptive clarity and that it should be taken in a descriptive sense and not a limiting sense.

[0174] While the embodiments of the application have been shown and described herein, it is to be understood that the application is not limited to these embodiments. Rather, many modifications, changes, substitutions, and alterations can be made to the embodiments of the application without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.

Claims

1. A procedure for automatic film covering of wire cloth, characterized by, The method realizes automatic control of the whole process of film covering through a central control unit coordinating actuators, and comprises the following steps: S1, preparing a steel wire mesh cloth substrate and a film material, and assembling the coiled materials to a film covering production line through an automatic loading device; S2, activating a unwinding mechanism to synchronously release the steel wire mesh cloth substrate and the film material; S3, performing film covering pretreatment: performing plasma cleaning treatment on the surface of the steel wire mesh cloth and monitoring the surface energy parameter in real time to generate substrate activation data; S4, dynamic glue coating treatment: adjusting the adhesive spraying parameter according to the substrate activation data to form a uniform glue layer on the surface of the steel wire mesh cloth and generating a glue coating thickness distribution map; S5, precise compounding treatment: compounding the film and the glue coated steel wire mesh cloth through a high-precision alignment mechanism to generate compounding pressure trajectory data; S6, gradient curing treatment: 50℃ pre-curing for 30 seconds→70℃ final curing for 45 seconds; S7, quality monitoring treatment: collecting the film layer thickness and adhesion defect data in real time through a thickness sensor and an infrared imager to generate quality feedback signals; S8, dynamic regulation treatment: the central control unit corrects the glue coating flow, compounding pressure and temperature parameter in real time based on the quality feedback signals; S9, winding treatment: winding the film product with constant tension through a tension closed-loop control system to generate coiled material tightness parameter; S10, outputting a film quality report: integrating the glue coating thickness distribution map, compounding pressure trajectory data and coiled material tightness parameter to generate a process traceability document.

2. A method for automatically laminating a steel mesh cloth according to claim 1, characterized in that, The S1 step specifically comprises: S11, reading the material code and width parameter of the steel wire mesh cloth coiled material through an RFID identification device; S12, the central control unit calls the corresponding film type and adhesive formula from the database based on the material code; S13, an automatic guided vehicle transports the matched film coiled material to a film covering production line loading station; S14, a pneumatic clamp synchronously grabs the steel wire mesh cloth roll and the film roll to assemble to a double-station unwinding machine.

3. A method for automatically laminating a steel mesh cloth according to claim 1, characterized in that, The plasma cleaning treatment in the S3 step specifically comprises: S31, a mixture of argon and oxygen gas is introduced into a closed treatment cabin, and the gas ratio is 3:1; S32, a 15kHz high-frequency electric field is applied to generate a plasma flow; S33, the substrate contact angle data θ is obtained in real time through a surface tension detector; S34, when the contact angle θ is less than 35°, it is determined that the activation is qualified, and a substrate activation qualified signal is generated.

4. The method according to claim 1, wherein, The dynamic glue coating treatment of the S4 step comprises: S41, a glue viscosity-temperature control model is constructed: Wherein η is the real-time viscosity, η0 is the reference viscosity, T is the glue temperature, T0 is the reference temperature, and k is the correction coefficient; S42, the glue flow Q is adjusted through a gear pump to meet: Wherein Q is the glue spraying flow, v is the steel wire mesh cloth transmission speed, w is the substrate width, h is the target glue layer thickness, and ρ is the glue density; S43, the glue is sprayed by an ultrasonic atomizing nozzle at a pressure of 0.5MPa.

5. The method according to claim 1, wherein, The precise compounding treatment of the S5 step specifically comprises: S51, the position deviation Δd of the film edge and the steel wire mesh cloth edge is captured through a CCD vision system; S52, when Δd is greater than 0.5mm, the correction mechanism is triggered, and the correction response time is less than 100ms; S53, the compounding roller pressure P is controlled in a gradient manner: Wherein P is the composite roller pressure, δ is the steel wire mesh substrate thickness; S54, generate a composite pressure function P(t) that changes with time.

6. A method for automatically laminating a steel mesh cloth according to claim 1, characterized in that, The curing process of the S6 step adopts a zoning temperature control strategy: S61, set three infrared heating plates in the pre-curing zone, with a temperature difference between plates less than 2℃; S62, use a hot air circulation system in the final curing zone, with an air speed controlled at 2.5m / s; S63, set a curing degree detector at the exit of the curing zone, and trigger the winding instruction when the crosslinking degree is greater than 85%.

7. The method according to claim 1, wherein the method is characterized by, The quality monitoring process of the S7 step includes: S71, obtain a film layer thickness sequence {δ1, δ2,..., δ n} through the beta ray thickness sensor at a sampling frequency of 100 Hz. S72, when delta i less than 0.15 mm, delta i greater than 0.25 mm is marked as a thickness defect point; S73, use an infrared imager to detect air bubble defects in the glue layer, and generate defect coordinate data when the air bubble diameter is greater than 0.3mm.

8. The method according to claim 1, wherein the method is characterized by, The dynamic regulation process of the S8 step is implemented as follows: S81, establish a PID control model to adjust the glue application flow rate: where u(t) is the glue flow adjustment amount, e(t) is the deviation between the glue layer thickness set value and the measured value, K p is the proportional gain coefficient, K i is the integral gain coefficient, K d is the differential gain coefficient, and t is the time variable. S82, when air bubble defects are detected, automatically increase the composite pressure by 15%; S83, when the substrate transmission speed changes by more than 20%, synchronously adjust the curing zone temperature set value.

9. A method for automatically laminating a wire mesh cloth according to claim 1, characterized in that, The winding process of the S9 step includes: S91, use a tension sensor to real-time feedback the coiled material tension value F; S92, the servo motor adjusts the torque according to the tension deviation ΔF: ΔT=k·ΔF·R Wherein k is the gain coefficient 0.8, R is the coiled material radius; ΔF is the tension set value and measured value deviation, ΔT is the servo motor torque adjustment amount; S93, the calculation formula of the coiled material tightness parameter C is: When C is less than 5%, it is determined to be qualified; where C is the coil tightness parameter, n is the total number of sampling points, F i is the measured value of the tension at the i sampling point, F net is the set value of the tension.

10. The method according to claim 1, wherein, The S10 step further includes: S101, construct a process parameter relationship matrix: Wherein R is the process parameter relationship matrix, P is the composite pressure, T is the curing temperature, v is the transmission speed, Q is the glue application flow rate, δ is the film thickness, Δd is the alignment deviation, C is the coiled material tightness, and η is the adhesive viscosity; S102, write the relationship matrix and quality data into the tamper-proof storage module through blockchain technology; S103, generate a three-level traceability report containing the material batch number, process parameter chain, and quality score.

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