Full-automatic gluing system for aluminum profile door and window machining and using method of full-automatic gluing system

Abstract

The invention relates to the technical field of aluminum profile door and window machining, in particular to a full-automatic gluing system for aluminum profile door and window machining and a using method thereof.The system comprises a pressure compensation module, a temperature adaptation module, a viscosity self-adaptation module, a fluid conveying module, a metering control module and a back suction cut-off module; the pressure fluctuation and the viscosity change in the glue conveying process can be monitored and dynamically compensated in real time, stable glue discharging is achieved through the high-precision screw valve, automatic back suction is conducted after glue dispensing is finished, residues are removed, and dripping leakage and wire drawing are prevented. The using method comprises the steps of glue preparation, parameter setting, real-time monitoring, pressure and viscosity self-adaptive adjustment, accurate metering extrusion, back-suction truncation and the like, multi-parameter closed-loop control and historical data iterative optimization are combined, high stability, repeatability and adaptability of the gluing process are ensured, and the gluing quality and efficiency of aluminum profile doors and windows are effectively improved.

Description

Technical Field

[0001] This invention relates to the field of aluminum profile door and window processing technology, specifically to a fully automatic adhesive application system for aluminum profile door and window processing and its application method. Background Technology

[0002] In the assembly of aluminum profile doors and windows, adhesive application is a crucial process that directly affects the sealing performance, structural strength, and service life of the doors and windows. With the development of intelligent manufacturing technology, the adhesive application process for aluminum profile doors and windows is gradually evolving from traditional manual operation to semi-automatic and fully automated processes. Technological advancements in this field aim to solve the problem of unstable adhesive output caused by variations in adhesive viscosity, ambient temperature fluctuations, and pressure losses in the delivery pipeline through high-precision fluid control, stable pressure delivery, and adaptive parameter adjustment. This will meet the urgent demands of modern production for high consistency, high efficiency, and low cost.

[0003] Traditional glue application methods mainly rely on manual hand-held glue guns or semi-automatic equipment. These methods typically suffer from low precision in glue dispensing control, high dependence on operator skill, and inability to adapt to real-time changes in glue properties. Even some partially mechanized glue application devices generally lack closed-loop control of glue viscosity, temperature, and delivery pressure.

[0004] A search revealed that patent application number CN201220632671.6 provides an "automatic glue-applying device for processing aluminum profile doors and windows". This device, by setting up a worktable with movable and fixed support seats, and cooperating with a glue-applying mechanism, realizes mechanized glue application for aluminum profile doors and windows, which improves the stability of glue application and reduces labor intensity to a certain extent.

[0005] Although existing technologies such as patent CN201220632671.6 have improved the mechanization level of adhesive application to some extent, their functional design is relatively basic and does not cover the precise control of key variables throughout the adhesive application process, thus resulting in the following core defects:

[0006] Traditional devices, such as those mentioned in the patent, do not include a real-time pressure monitoring and compensation module, making it difficult to cope with pressure fluctuations caused by pipeline bends, length changes, or temperature variations, resulting in unstable adhesive dispensing pressure at the remote end. Furthermore, they lack real-time detection and feedback of adhesive viscosity, making it impossible to automatically adjust delivery parameters based on viscosity changes. Therefore, when the adhesive viscosity changes due to temperature or batch variations, it easily causes deviations in dispensing volume, affecting the uniformity of adhesive application.

[0007] Therefore, we propose a fully automated adhesive application system for aluminum profile door and window processing and its application method. Summary of the Invention

[0008] (a) Technical problems to be solved

[0009] The purpose of this invention is to provide a fully automatic adhesive application system and its application method for aluminum profile door and window processing, so as to solve the problems mentioned in the background art.

[0010] (II) Technical Solution

[0011] To achieve the above objectives, the present invention provides the following technical solution:

[0012] A fully automated adhesive application system for aluminum profile door and window processing includes:

[0013] The pressure compensation module is used to monitor pressure fluctuations in the fluid delivery pipeline in real time and dynamically adjust the output pressure of the glue pump or drive device through the feedback control unit to compensate for pressure loss caused by pipeline length, bends, temperature changes or glue viscosity differences, and ensure stable fluid delivery pressure.

[0014] The temperature adaptation module, located in the glue storage tank and delivery pipeline, includes a heating element and a temperature sensor to control the glue temperature, thereby offsetting the effect of ambient temperature fluctuations on the glue viscosity and maintaining the consistency of glue flowability.

[0015] The viscosity adaptive module is integrated into the glue delivery path. It collects glue viscosity data through the viscosity detection unit and transmits the data to the control system. The control system automatically adjusts the speed or pressure parameters of the drive device according to the viscosity change to match the delivery requirements of glues with different viscosities and avoids glue output deviation caused by viscosity differences.

[0016] The fluid delivery module includes a pressure-resistant glue pump and a flexible glue delivery pipeline. The pressure-resistant glue pump adopts a multi-stage pressure regulation structure, and the flexible glue delivery pipeline reduces local resistance through optimized bend radius design, ensuring stable delivery of glue in complex pipeline paths.

[0017] The metering control module uses a high-precision screw-type dispensing valve. The screw is driven to rotate by a servo motor, which pushes the glue from the feeding section to the metering chamber and extrudes it precisely. The glue output is directly proportional to the motor speed and is not affected by changes in glue density, viscosity and temperature, thus achieving reliable continuous operation.

[0018] The back suction and cut-off module, linked with the metering control module, drives the screw back to draw out the glue flow and remove needle residue after the dispensing operation is completed via a servo motor, preventing dripping or stringing. It also avoids fluctuations in glue dispensing volume during the next dispensing operation due to residual glue.

[0019] A method for using a fully automatic adhesive application system for aluminum profile door and window processing includes the following steps:

[0020] Step 1: Glue preparation and initial parameter settings

[0021] Before the glue application, the glue is injected into the glue storage tank in the system, and the glue is kept at a constant temperature by the temperature adaptation module. At the same time, the viscosity adaptation module detects the initial viscosity value of the glue, and the speed reference of the servo motor and the initial pressure value of the pressure compensation module are preset according to the detection results to ensure the basic stability of the glue in subsequent transportation.

[0022] Step 2: Real-time monitoring and dynamic pressure compensation

[0023] During the glue delivery process, the pressure compensation module continuously monitors the pressure changes in the fluid delivery pipeline. When pressure loss is detected due to pipeline bends, length changes, or ambient temperature fluctuations, the feedback control unit dynamically adjusts the output pressure of the anti-pressure glue pump based on the monitoring data to counteract external interference and maintain a constant delivery pressure.

[0024] Step 3: Viscosity Change Response and Driving Parameter Adjustment

[0025] The viscosity adaptive module continuously collects viscosity data in the glue delivery path and transmits the data to the control system. If the glue viscosity changes significantly due to temperature fluctuations or storage time, the control system automatically adjusts the speed of the servo motor or the pressure parameters of the anti-pressure glue pump according to the viscosity detection results to match the current viscosity state and ensure the accuracy of the glue dispensing amount.

[0026] Step 4: High-precision metering and stable extrusion

[0027] The metering control module performs quantitative glue dispensing operation through a high-precision screw-type dispensing valve. The servo motor drives the screw to rotate, pushing the glue from the feeding section to the metering chamber. The rotor and stator form a regular metering chamber through sealed meshing. The glue dispensing amount is precisely controlled according to the preset speed, and the glue is stably extruded to the position to be coated.

[0028] Step 5: Back-suction cut-off and residue removal

[0029] After dispensing is completed, the back suction and cut-off module is activated. The servo motor rotates in the opposite direction to drive the screw to back suction, cut off the glue flow path, and remove residual glue in the needle. At the same time, the back suction parameters are dynamically optimized according to the glue characteristics to ensure the accuracy of the back suction action and avoid fluctuations in the glue dispensing volume of the next dispensing due to residual glue.

[0030] Step 6: Data Recording and Parameter Iterative Optimization

[0031] The system records key parameters such as pressure compensation, viscosity adjustment, metering of glue dispensing, and back suction cutoff in each glue application operation. By analyzing historical data through the control system, it automatically iterates and optimizes the parameter settings for subsequent operations, further improving the long-term stability and repeatability of glue dispensing.

[0032] As a preferred technical solution, step 1 further includes the following refined process: After the adhesive is injected into the storage tank, the temperature adaptation module maintains the adhesive within the target constant temperature range through closed-loop control of the heating element and temperature sensor, so that the adhesive viscosity is in a controllable state; at the same time, the viscosity adaptation module detects the initial viscosity of the adhesive and inputs the detection result to the control system, which calculates and sets the reference value of the servo motor speed and the initial pressure value of the pressure compensation module; to achieve coordinated correction of viscosity, pressure and speed, the following parameter mapping relationship is adopted:

[0033]

[0034] in, This is the reference value for the servo motor's speed. The currently detected viscosity of the adhesive. For reference viscosity, This is the deviation between the glue temperature and the target constant temperature value. and This is the proportional coefficient obtained from system calibration; this formula enables precise setting of the initial motor speed under the combined influence of viscosity and temperature, ensuring that the adhesive has stable fluidity and controllability in the initial state. The initial pressure value of the pressure compensation module is set according to the following relationship:

[0035]

[0036] in, This is the initial compensation pressure value. For reference pressure, This is the pressure regulation coefficient. The formula, which combines viscosity deviation with pipeline length, corrects the initial pump output pressure and eliminates instability caused by viscosity differences and path resistance.

[0037] As a preferred technical solution, step 2 further includes the following refined process: Pressure compensation module deploys pressure sensors at multiple monitoring points along the delivery pipeline to form a distributed real-time acquisition network. The acquired pressure signals are dynamically analyzed by the control system. When the actual pressure value is detected to be lower than the reference pressure value, the feedback control unit triggers the multi-stage adjustment mechanism of the anti-pressure glue pump, and performs real-time compensation for the pump output through a nonlinear correction strategy. The pressure correction adopts the following calculation relationship:

[0038]

[0039] in, To compensate for pressure increases in real time, Set pressure on the goal. To monitor pressure in real time, This is the proportional adjustment coefficient. As the dynamic response coefficient, this formula achieves dual correction by combining static deviation and pressure change rate, ensuring pressure stability even in the presence of sudden disturbances or complex pipeline structures. To avoid the cumulative effect of pressure loss due to pipeline length and number of bends, the system introduces a distributed correction function based on the pipeline resistance coefficient:

[0040]

[0041] in, The corrected dynamic target pressure, For reference pressure, For the first Local resistance factor of pipeline section This is the resistance weighting coefficient. To monitor the number of segments, this function corrects the global pressure distribution by accumulating the resistance effects of each local segment, thereby maintaining uniform dispensing pressure under different pipeline structures and ambient temperature conditions.

[0042] As a preferred technical solution, step 3 further includes the following refined process: The viscosity adaptive module collects the glue viscosity value in real time at key nodes of the conveying path through a high-precision detection unit, and dynamically compares it with the reference viscosity. When the detection result shows that the glue viscosity deviates, the control system simultaneously links the servo motor and the anti-pressure glue pump, and synchronously corrects the output speed and pressure by constructing a viscosity-driven coupling function. The adjustment relationship is as follows:

[0043]

[0044] in, The corrected servo motor speed. The speed reference value is preset in step 1, and η is the real-time detected viscosity. For reference viscosity, This is the viscosity sensitivity coefficient. This function achieves dynamic matching of motor speed by proportionally correcting the viscosity deviation.

[0045] As a preferred technical solution, step 4 further includes the following refined process: When the metering control module performs the dispensing operation, the rotational speed signal of the servo motor is compared with the feedback signal of the screw displacement sensor in real time to form a closed-loop control to ensure that the screw rotation angle is completely consistent with the pushing volume. The meshing structure between the screw and the metering cavity converts the continuous rotational motion into a stable volumetric flow rate, so that each rotation angle corresponds to a fixed dispensing volume. In order to achieve high-precision metering and stable extrusion, the system adopts the following volumetric metering function:

[0046]

[0047] in, This refers to the glue flow rate per unit time. To compensate for the correction factor, which is used to correct flow deviations caused by sealing gaps or slight rebound. The effective metering cavity volume formed per screw revolution. The corrected servo motor speed in step 3 is used. This function combines mechanical structure parameters with dynamic speed to directly map the screw rotation action to a stable glue output. It also compensates for errors caused by fluid properties and mechanical micro-differences in real time, thereby ensuring the metering uniformity and coating consistency of the glue at any time interval.

[0048] As a preferred technical solution, step 5 further includes the following refined process: After dispensing is completed, the back suction cut-off module is triggered by the control system, the servo motor performs a reverse rotation action, and the screw is precisely displaced in the opposite direction to generate a negative pressure zone. This negative pressure draws the residual glue in the needle back to the metering chamber, avoiding dripping or stringing. To achieve dynamic optimization, the system corrects the back suction speed and displacement based on the real-time viscosity of the glue and the residual amount in the previous cycle, using the following back suction control function:

[0049]

[0050] in, This is the corrected volume for this reabsorption. To detect viscosity in real time, For reference viscosity, For the back suction reference volume, As the backflow correction factor, this function adjusts the backflow volume based on the viscosity ratio. When the viscosity increases, it automatically increases the backflow amount to ensure that the glue in the needle is completely removed. When the viscosity decreases, it reduces the backflow amount to avoid air entrapment, thereby maintaining the flow rate stability for the next dispensing.

[0051] As a preferred technical solution, in step 5, the system also applies dynamic constraints to the reverse speed of the servo motor to ensure that the pull-back process is completed quickly without generating pressure oscillations. The constraint relationship is as follows:

[0052]

[0053] in, This refers to the reverse suction speed of the servo motor. This refers to the corrected forward operating speed from step 3. As a safety proportional coefficient, which is less than 1, this formula limits the rate of back suction action to avoid excessive pressure fluctuations in the cavity caused by excessively rapid instantaneous reverse action, thereby ensuring the stability of the needle fluid boundary and the balance of pipeline pressure.

[0054] As a preferred technical solution, step 6 further includes the following refined process: In each round of adhesive application, the control system records core parameters such as pressure compensation value, viscosity correction amount, metered adhesive flow rate, and backflow volume to the database in real time. The data is then used for time series modeling, and a parameter optimization function is established through comprehensive analysis of deviation residuals and historical trends. This enables dynamic correction across batches, and the calculation relationship is as follows:

[0055]

[0056] in, For the first The set of parameters for this task. The iteration step size, The gradient direction is calculated based on historical glue output deviations. This formula converges the parameters to the optimal point through successive iterations, thereby maintaining stable glue output and reducing batch-to-batch differences during long-term operation.

[0057] As a preferred technical solution, in step 6, the control system further performs weighted smoothing processing on the parameter fluctuations across cycles to avoid iterative offsets caused by single abnormal data. Specifically, the following smoothing optimization function is adopted:

[0058]

[0059] in, The optimized set of target parameters, For the first time in history Sub-operation parameters. Its weighting factor, The function uses a weighted average of data from multiple rounds of operations to give more weight to recent, highly relevant data in the iterations, thereby improving the real-time performance and stability of parameter correction.

[0060] (III) Beneficial Effects

[0061] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0062] 1. Through the combined control of the pressure compensation module, viscosity adaptive module and temperature adaptive module, a constant flow rate of adhesive is achieved under different pipeline structures, temperature conditions and viscosity changes, ensuring that the amount of adhesive dispensed in each dispensing operation is accurate and uniform.

[0063] 2. The screw-type dispensing valve and back suction cut-off module are adopted. Through dynamic adjustment of rotation speed and back suction volume, stable extrusion of the metering chamber and efficient removal of residual glue from the needle are achieved, avoiding dripping, stringing or fluctuation of the next dispensing volume.

[0064] 3. The system can collect viscosity, pressure and flow data in real time, and automatically adjust the servo motor speed and anti-pressure pump pressure through control algorithms to achieve rapid response to changes in adhesive properties and environmental interference, ensuring the reliability of continuous operation.

[0065] 4. The system records the core parameters of each operation, uses historical data for gradient iteration and weighted smoothing optimization, and forms a self-learning mechanism to continuously optimize the glue output parameters in long-term operation, thereby improving repeatability and long-term stability.

[0066] 5. Through full-process automated control and multi-module collaborative linkage, the entire process from glue preparation, conveying, metering to back suction and cutting is fully automated, reducing manual intervention, improving processing efficiency and reducing operational risks. Attached Figure Description

[0067] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0068] Figure 1 This is a diagram showing the overall system structure of the present invention;

[0069] Figure 2 This is a flowchart of the pressure compensation control process of the present invention;

[0070] Figure 3 This is a flowchart of the viscosity adaptive control process of the present invention;

[0071] Figure 4 This is a schematic diagram of the working principle of the metering control module of the present invention;

[0072] Figure 5 This is a flowchart illustrating the operation of the back suction cutoff module of the present invention. Detailed Implementation

[0073] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0074] According to the appendix Figure 1-5 As shown, this embodiment of the invention provides a fully automatic adhesive application system for aluminum profile door and window processing, comprising:

[0075] The pressure compensation module is used to monitor pressure fluctuations in the fluid delivery pipeline in real time and dynamically adjust the output pressure of the glue pump or drive device through the feedback control unit to compensate for pressure loss caused by pipeline length, bends, temperature changes or glue viscosity differences, and ensure stable fluid delivery pressure.

[0076] The temperature adaptation module, located in the glue storage tank and delivery pipeline, includes a heating element and a temperature sensor to control the glue temperature, thereby offsetting the effect of ambient temperature fluctuations on the glue viscosity and maintaining the consistency of glue flowability.

[0077] The viscosity adaptive module is integrated into the glue delivery path. It collects glue viscosity data through the viscosity detection unit and transmits the data to the control system. The control system automatically adjusts the speed or pressure parameters of the drive device according to the viscosity change to match the delivery requirements of glues with different viscosities and avoids glue output deviation caused by viscosity differences.

[0078] The fluid delivery module includes a pressure-resistant glue pump and a flexible glue delivery pipeline. The pressure-resistant glue pump adopts a multi-stage pressure regulation structure, and the flexible glue delivery pipeline reduces local resistance through optimized bend radius design, ensuring stable delivery of glue in complex pipeline paths.

[0079] The metering control module uses a high-precision screw-type dispensing valve. The screw is driven to rotate by a servo motor, which pushes the glue from the feeding section to the metering chamber and extrudes it precisely. The glue output is directly proportional to the motor speed and is not affected by changes in glue density, viscosity and temperature, thus achieving reliable continuous operation.

[0080] The back suction and cut-off module, linked with the metering control module, drives the screw back to draw out the glue flow and remove needle residue after the dispensing operation is completed via a servo motor, preventing dripping or stringing. It also avoids fluctuations in glue dispensing volume during the next dispensing operation due to residual glue.

[0081] A method for using a fully automatic adhesive application system for aluminum profile door and window processing includes the following steps:

[0082] Step 1: Glue preparation and initial parameter settings

[0083] Before the glue application, the glue is injected into the glue storage tank in the system, and the glue is kept at a constant temperature by the temperature adaptation module. At the same time, the viscosity adaptation module detects the initial viscosity value of the glue, and the speed reference of the servo motor and the initial pressure value of the pressure compensation module are preset according to the detection results to ensure the basic stability of the glue in subsequent transportation.

[0084] Step 2: Real-time monitoring and dynamic pressure compensation

[0085] During the glue delivery process, the pressure compensation module continuously monitors the pressure changes in the fluid delivery pipeline. When pressure loss is detected due to pipeline bends, length changes, or ambient temperature fluctuations, the feedback control unit dynamically adjusts the output pressure of the anti-pressure glue pump based on the monitoring data to counteract external interference and maintain a constant delivery pressure.

[0086] Step 3: Viscosity Change Response and Driving Parameter Adjustment

[0087] The viscosity adaptive module continuously collects viscosity data in the glue delivery path and transmits the data to the control system. If the glue viscosity changes significantly due to temperature fluctuations or storage time, the control system automatically adjusts the speed of the servo motor or the pressure parameters of the anti-pressure glue pump according to the viscosity detection results to match the current viscosity state and ensure the accuracy of the glue dispensing amount.

[0088] Step 4: High-precision metering and stable extrusion

[0089] The metering control module performs quantitative glue dispensing operation through a high-precision screw-type dispensing valve. The servo motor drives the screw to rotate, pushing the glue from the feeding section to the metering chamber. The rotor and stator form a regular metering chamber through sealed meshing. The glue dispensing amount is precisely controlled according to the preset speed, and the glue is stably extruded to the position to be coated.

[0090] Step 5: Back-suction cut-off and residue removal

[0091] After dispensing is completed, the back suction and cut-off module is activated. The servo motor rotates in the opposite direction to drive the screw to back suction, cut off the glue flow path, and remove residual glue in the needle. At the same time, the back suction parameters are dynamically optimized according to the glue characteristics to ensure the accuracy of the back suction action and avoid fluctuations in the glue dispensing volume of the next dispensing due to residual glue.

[0092] Step 6: Data Recording and Parameter Iterative Optimization

[0093] The system records key parameters such as pressure compensation, viscosity adjustment, metering of glue dispensing, and back suction cutoff in each glue application operation. By analyzing historical data through the control system, it automatically iterates and optimizes the parameter settings for subsequent operations, further improving the long-term stability and repeatability of glue dispensing.

[0094] Furthermore, step 1 further includes the following refined process: After the adhesive is injected into the storage tank, the temperature adaptation module maintains the adhesive within the target constant temperature range through closed-loop control of the heating element and temperature sensor, ensuring that the adhesive viscosity is controllable; simultaneously, the viscosity adaptation module detects the initial viscosity of the adhesive and inputs the detection result to the control system, which calculates and sets the reference value of the servo motor speed and the initial pressure value of the pressure compensation module; to achieve coordinated correction of viscosity, pressure, and speed, the following parameter mapping relationship is adopted:

[0095]

[0096] in, This is the reference value for the servo motor's speed. The currently detected viscosity of the adhesive. For reference viscosity, This is the deviation between the glue temperature and the target constant temperature value. and This is the proportional coefficient obtained from system calibration; this formula enables precise setting of the initial motor speed under the combined influence of viscosity and temperature, ensuring that the adhesive has stable fluidity and controllability in the initial state. The initial pressure value of the pressure compensation module is set according to the following relationship:

[0097]

[0098] in, This is the initial compensation pressure value. For reference pressure, This is the pressure regulation coefficient. The formula, which combines viscosity deviation with pipeline length, corrects the initial pump output pressure and eliminates instability caused by viscosity differences and path resistance.

[0099] Furthermore, step 2 further includes the following refined process: The pressure compensation module deploys pressure sensors at multiple monitoring points along the delivery pipeline, forming a distributed real-time acquisition network. The acquired pressure signals are dynamically analyzed by the control system. When the actual pressure value is detected to be lower than the reference pressure value, the feedback control unit triggers the multi-stage adjustment mechanism of the anti-pressure glue pump, and performs real-time compensation on the pump output through a nonlinear correction strategy. The pressure correction adopts the following calculation relationship:

[0100]

[0101] in, To compensate for pressure increases in real time, Set pressure on the goal. To monitor pressure in real time, This is the proportional adjustment coefficient. As the dynamic response coefficient, this formula achieves dual correction by combining static deviation and pressure change rate, ensuring pressure stability even in the presence of sudden disturbances or complex pipeline structures. To avoid the cumulative effect of pressure loss due to pipeline length and number of bends, the system introduces a distributed correction function based on the pipeline resistance coefficient:

[0102]

[0103] in, The corrected dynamic target pressure, For reference pressure, For the first Local resistance factor of pipeline section This is the resistance weighting coefficient. To monitor the number of segments, this function corrects the global pressure distribution by accumulating the resistance effects of each local segment, thereby maintaining uniform dispensing pressure under different pipeline structures and ambient temperature conditions.

[0104] Furthermore, step 3 further includes the following refined process: the viscosity adaptive module collects the glue viscosity value in real time at key nodes of the conveying path through a high-precision detection unit, and dynamically compares it with the reference viscosity. When the detection result shows that the glue viscosity deviates, the control system simultaneously links the servo motor and the anti-pressure glue pump, and synchronously corrects the output speed and pressure by constructing a viscosity-driven coupling function. The adjustment relationship is as follows:

[0105]

[0106] in, The corrected servo motor speed. The preset speed reference value in step 1, To detect viscosity in real time, For reference viscosity, This is the viscosity sensitivity coefficient. This function achieves dynamic matching of motor speed by proportionally correcting the viscosity deviation.

[0107] Furthermore, step 4 further includes the following refined process: When the metering control module performs the dispensing operation, the rotational speed signal of the servo motor is compared in real time with the feedback signal of the screw displacement sensor to form a closed-loop control to ensure that the screw rotation angle is completely consistent with the dispensing volume. The meshing structure between the screw and the metering cavity converts the continuous rotational motion into a stable volumetric flow rate, so that each rotation angle corresponds to a fixed dispensing volume. In order to achieve high-precision metering and stable extrusion, the system adopts the following volumetric metering function:

[0108]

[0109] in, This refers to the glue flow rate per unit time. To compensate for the correction factor, which is used to correct flow deviations caused by sealing gaps or slight rebound. The effective metering cavity volume formed per screw revolution. The corrected servo motor speed in step 3 is used. This function combines mechanical structure parameters with dynamic speed to directly map the screw rotation action to a stable glue output. It also compensates for errors caused by fluid properties and mechanical micro-differences in real time, thereby ensuring the metering uniformity and coating consistency of the glue at any time interval.

[0110] Furthermore, step 5 further includes the following refined process: After dispensing is completed, the back-suction cut-off module is triggered by the control system, the servo motor performs a reverse rotation action, and the screw precisely displaces in the opposite direction to generate a negative pressure zone. This negative pressure draws the residual glue in the needle back to the metering chamber, avoiding dripping or stringing. To achieve dynamic optimization, the system corrects the back-suction speed and displacement based on the real-time viscosity of the glue and the residual amount in the previous cycle, using the following back-suction control function:

[0111]

[0112] in, This is the corrected volume for this reabsorption. To detect viscosity in real time, For reference viscosity, For the back suction reference volume, As the backflow correction factor, this function adjusts the backflow volume based on the viscosity ratio. When the viscosity increases, it automatically increases the backflow amount to ensure that the glue in the needle is completely removed. When the viscosity decreases, it reduces the backflow amount to avoid air entrapment, thereby maintaining the flow rate stability for the next dispensing.

[0113] Furthermore, in step 5, the system also applies dynamic constraints to the reverse speed of the servo motor to ensure that the pull-back process is completed quickly without causing pressure oscillations. The constraint relationship is as follows:

[0114]

[0115] in, This refers to the reverse suction speed of the servo motor. This refers to the corrected forward operating speed from step 3. As a safety proportional coefficient, which is less than 1, this formula limits the rate of back suction action to avoid excessive pressure fluctuations in the cavity caused by excessively rapid instantaneous reverse action, thereby ensuring the stability of the needle fluid boundary and the balance of pipeline pressure.

[0116] Furthermore, step 6 further includes the following refined process: In each round of adhesive application, the control system records core parameters such as pressure compensation value, viscosity correction amount, metered adhesive flow rate, and backflow volume to the database in real time. Time series modeling is performed on the data, and a parameter optimization function is established using a comprehensive analysis of deviation residuals and historical trends. This enables dynamic correction across batches, and the calculation relationship is as follows:

[0117]

[0118] in, Let k be the set of parameters for the k-th operation. The iteration step size, The gradient direction is calculated based on historical glue output deviations. This formula converges the parameters to the optimal point through successive iterations, thereby maintaining stable glue output and reducing batch-to-batch differences during long-term operation.

[0119] Furthermore, in step 6, the control system also performs weighted smoothing on the parameter fluctuations across cycles to avoid iterative offsets caused by single abnormal data. Specifically, the following smoothing optimization function is used:

[0120]

[0121] in, The optimized set of target parameters, For the first time in history Sub-operation parameters. Its weighting factor, The function uses a weighted average of data from multiple rounds of operations to give more weight to recent, highly relevant data in the iterations, thereby improving the real-time performance and stability of parameter correction.

[0122] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A fully automatic adhesive application system for processing aluminum profile doors and windows, characterized in that, include: The pressure compensation module is used to monitor pressure fluctuations in the fluid delivery pipeline in real time and dynamically adjust the output pressure of the glue pump or drive device through the feedback control unit to compensate for pressure loss caused by pipeline length, bends, temperature changes or glue viscosity differences, and ensure stable fluid delivery pressure. The temperature adaptation module, located in the glue storage tank and delivery pipeline, includes a heating element and a temperature sensor to control the glue temperature, thereby offsetting the effect of ambient temperature fluctuations on the glue viscosity and maintaining the consistency of glue flowability. The viscosity adaptive module is integrated into the glue delivery path. It collects glue viscosity data through the viscosity detection unit and transmits the data to the control system. The control system automatically adjusts the speed or pressure parameters of the drive device according to the viscosity change to match the delivery requirements of glues with different viscosities and avoids glue output deviation caused by viscosity differences. The fluid delivery module includes a pressure-resistant glue pump and a flexible glue delivery pipeline. The pressure-resistant glue pump adopts a multi-stage pressure regulation structure, and the flexible glue delivery pipeline reduces local resistance through optimized bend radius design, ensuring stable delivery of glue in complex pipeline paths. The metering control module uses a high-precision screw-type dispensing valve. The screw is driven to rotate by a servo motor, which pushes the glue from the feeding section to the metering chamber and extrudes it precisely. The glue output is directly proportional to the motor speed and is not affected by changes in glue density, viscosity and temperature, thus achieving reliable continuous operation. The back suction and cut-off module, linked with the metering control module, drives the screw back to draw out the glue flow and remove needle residue after the dispensing operation is completed via a servo motor, preventing dripping or stringing. It also avoids fluctuations in glue dispensing volume during the next dispensing operation due to residual glue.

2. A method for using a fully automatic adhesive application system for aluminum profile door and window processing, characterized in that, Includes the following steps: Step 1: Glue preparation and initial parameter settings Before the glue application, the glue is injected into the glue storage tank in the system, and the glue is kept at a constant temperature by the temperature adaptation module. At the same time, the viscosity adaptation module detects the initial viscosity value of the glue, and the speed reference of the servo motor and the initial pressure value of the pressure compensation module are preset according to the detection results to ensure the basic stability of the glue in subsequent transportation. Step 2: Real-time monitoring and dynamic pressure compensation During the glue delivery process, the pressure compensation module continuously monitors the pressure changes in the fluid delivery pipeline. When pressure loss is detected due to pipeline bends, length changes, or ambient temperature fluctuations, the feedback control unit dynamically adjusts the output pressure of the anti-pressure glue pump based on the monitoring data to counteract external interference and maintain a constant delivery pressure. Step 3: Viscosity Change Response and Driving Parameter Adjustment The viscosity adaptive module continuously collects viscosity data in the glue delivery path and transmits the data to the control system. If the glue viscosity changes significantly due to temperature fluctuations or storage time, the control system automatically adjusts the speed of the servo motor or the pressure parameters of the anti-pressure glue pump according to the viscosity detection results to match the current viscosity state and ensure the accuracy of the glue dispensing amount. Step 4: High-precision metering and stable extrusion The metering control module performs quantitative glue dispensing operation through a high-precision screw-type dispensing valve. The servo motor drives the screw to rotate, pushing the glue from the feeding section to the metering chamber. The rotor and stator form a regular metering chamber through sealed meshing. The glue dispensing amount is precisely controlled according to the preset speed, and the glue is stably extruded to the position to be coated. Step 5: Back-suction cut-off and residue removal After dispensing is completed, the back suction and cut-off module is activated. The servo motor rotates in the opposite direction to drive the screw to back suction, cut off the glue flow path, and remove residual glue in the needle. At the same time, the back suction parameters are dynamically optimized according to the glue characteristics to ensure the accuracy of the back suction action and avoid fluctuations in the glue dispensing volume of the next dispensing due to residual glue. Step 6: Data Recording and Parameter Iterative Optimization The system records key parameters such as pressure compensation, viscosity adjustment, metering of glue dispensing, and back suction cutoff in each glue application operation. By analyzing historical data through the control system, it automatically iterates and optimizes the parameter settings for subsequent operations, further improving the long-term stability and repeatability of glue dispensing.

3. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 2, characterized in that: Step 1 further includes the following refined process: After the adhesive is injected into the storage tank, the temperature adaptation module maintains the adhesive within the target constant temperature range through closed-loop control of the heating element and temperature sensor, keeping the adhesive viscosity under control; simultaneously, the viscosity adaptation module detects the initial viscosity of the adhesive and inputs the detection result to the control system, which calculates and sets the reference value of the servo motor speed and the initial pressure value of the pressure compensation module; to achieve coordinated correction of viscosity, pressure, and speed, the following parameter mapping relationship is adopted: in, This is the reference value for the servo motor's speed. The currently detected viscosity of the adhesive. For reference viscosity, This is the deviation between the glue temperature and the target constant temperature value. and This is the proportional coefficient obtained from system calibration; this formula enables precise setting of the initial motor speed under the combined influence of viscosity and temperature, ensuring that the adhesive has stable fluidity and controllability in the initial state. The initial pressure value of the pressure compensation module is set according to the following relationship: in, This is the initial compensation pressure value. For reference pressure, Where L is the pressure regulation coefficient and L is the length of the delivery pipeline; this formula corrects the initial pressure of the pump output by combining viscosity deviation with pipeline length, eliminating instability caused by viscosity differences and path resistance.

4. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 2, characterized in that: Step 2 further includes the following refined process: The pressure compensation module deploys pressure sensors at multiple monitoring points along the delivery pipeline to form a distributed real-time acquisition network. The acquired pressure signals are dynamically analyzed by the control system. When the actual pressure value is detected to be lower than the reference pressure value, the feedback control unit triggers the multi-stage adjustment mechanism of the anti-pressure glue pump. The pump output is compensated in real time through a nonlinear correction strategy. The pressure correction adopts the following calculation relationship: in, To compensate for pressure increases in real time, Set pressure on the goal. To monitor pressure in real time, β is the proportional adjustment coefficient and γ is the dynamic response coefficient. This formula achieves dual correction by combining static deviation and pressure change rate, ensuring pressure stability even in the presence of sudden disturbances or complex pipeline structures. To avoid the cumulative effect of pressure loss due to pipeline length and number of bends, the system introduces a distributed correction function based on the pipeline resistance coefficient. in, The corrected dynamic target pressure. For reference pressure, For the first Local resistance factor of pipeline section This is the resistance weighting coefficient. To monitor the number of segments, this function corrects the global pressure distribution by accumulating the resistance effects of each local segment, thereby maintaining uniform dispensing pressure under different pipeline structures and ambient temperature conditions.

5. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 2, characterized in that: Step 3 further includes the following refined process: The viscosity adaptive module collects the glue viscosity value in real time at key nodes of the delivery path through a high-precision detection unit and dynamically compares it with the reference viscosity. When the detection result shows that the glue viscosity deviates, the control system simultaneously links the servo motor and the anti-pressure glue pump, and synchronously corrects the output speed and pressure by constructing a viscosity-driven coupling function. The adjustment relationship is as follows: in, The corrected servo motor speed. The preset speed reference value in step 1, To detect viscosity in real time, For reference viscosity, This is the viscosity sensitivity coefficient. This function achieves dynamic matching of motor speed by proportionally correcting the viscosity deviation.

6. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 2, characterized in that: Step 4 further includes the following refined process: When the metering control module performs the dispensing operation, the rotational speed signal of the servo motor is compared with the feedback signal of the screw displacement sensor in real time to form a closed-loop control to ensure that the screw rotation angle is completely consistent with the dispensing volume. The meshing structure between the screw and the metering cavity converts the continuous rotational motion into a stable volumetric flow rate, so that each rotation angle corresponds to a fixed dispensing volume. In order to achieve high-precision metering and stable extrusion, the system adopts the following volumetric metering function: Where Q is the glue flow rate per unit time. To compensate for the correction factor, which is used to correct flow deviations caused by sealing gaps or slight rebound. The effective metering cavity volume formed per screw revolution. The corrected servo motor speed in step 3 is used. This function combines mechanical structure parameters with dynamic speed to directly map the screw rotation action to a stable glue output. It also compensates for errors caused by fluid properties and mechanical micro-differences in real time, thereby ensuring the metering uniformity and coating consistency of the glue at any time interval.

7. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 2, characterized in that: Step 5 further includes the following refined process: After dispensing is completed, the back suction cut-off module is triggered by the control system, the servo motor performs a reverse rotation action, and the screw precisely displaces in the opposite direction to generate a negative pressure zone. This negative pressure draws the residual glue in the needle back to the metering chamber, avoiding dripping or stringing. To achieve dynamic optimization, the system corrects the back suction speed and displacement based on the real-time viscosity of the glue and the residual amount in the previous cycle, using the following back suction control function: in, This is the corrected volume for this reabsorption. To detect viscosity in real time, For reference viscosity, For the back suction reference volume, As the back suction correction factor, the above function adjusts the back suction volume based on the viscosity ratio. When the viscosity increases, the back suction amount is automatically increased to ensure that the glue in the needle is completely removed. When the viscosity decreases, the back suction amount is reduced to avoid air entrapment, thereby maintaining the flow stability of the next dispensing.

8. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 7, characterized in that: In step 5, the system also applies dynamic constraints to the reverse speed of the servo motor to ensure that the pull-back process is completed quickly without causing pressure oscillations. The constraint relationship is as follows: in, This refers to the reverse suction speed of the servo motor. This refers to the corrected forward operating speed from step 3. As a safety proportional coefficient, which is less than 1, this formula limits the rate of back suction action to avoid excessive pressure fluctuations in the cavity caused by excessively rapid instantaneous reverse action, thereby ensuring the stability of the needle fluid boundary and the balance of pipeline pressure.

9. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 2, characterized in that: Step 6 further includes the following refined process: In each round of adhesive application, the control system records core parameters such as pressure compensation value, viscosity correction amount, metered adhesive flow rate, and backflow volume to the database in real time. Time series modeling is performed on the data, and a parameter optimization function is established using a comprehensive analysis of deviation residuals and historical trends. This enables dynamic correction across batches, and the calculation relationship is as follows: in, For the first Sub-task parameter set The iteration step size, The gradient direction is calculated based on historical glue output deviation. The above formula converges the parameters to the optimal point through successive iterations, thereby maintaining stable glue output and reducing batch-to-batch differences during long-term operation.

10. The method of using the fully automatic adhesive application system for aluminum profile door and window processing according to claim 9, characterized in that: In step 6, the control system further performs weighted smoothing on the parameter fluctuations across cycles to avoid iterative offsets caused by single abnormal data. Specifically, the following smoothing optimization function is used: in, The optimized set of target parameters, These are the parameters for the i-th historical task. Its weighting factor, Given the number of historical samples, the above function uses a weighted average of data from multiple rounds of operations to give more weight to recent, highly relevant data in the iterations.

Images