Float glass product quality optimization method and system, medium and product

Abstract

The invention provides a float glass product quality optimization method and system, a medium and a product, and relates to the technical field of automatic control. Comprising the following steps: comparing a real-time transverse thickness distribution curve with a standard datum line to screen abnormal areas; tracing and positioning a target thermal control partition and a component according to the pulling speed; generating a mechanical stretching and temperature adjusting instruction based on the thickness out-of-tolerance quantity; when the temperature of the tin liquid does not reach the standard, mechanical stretching is executed, and temperature is increased synchronously; in the process, the difference value between the stretching speed and the glass flow speed is dynamically adjusted according to the temperature closeness degree until the temperature reaches the standard, and synchronous operation of the edge roller is recovered. According to the process, a non-response dead zone in a traditional single temperature control mode is eliminated, a long-distance waste strip generated by waiting for temperature rise is avoided, and the extremely short-term response speed and the long-term steady-state control precision in the float glass forming process are improved.

Description

Technical Field

[0001] This application relates to the field of automatic control technology, and in particular to a method, system, medium, and product for optimizing the quality of float glass products. Background Technology

[0002] The float glass forming process involves floating molten glass on the surface of molten tin, using the gravity and surface tension of the glass, along with the mechanical force of a drawing machine, to flatten and stretch it into a glass strip of a specific thickness. The tin bath is the core area determining the final flatness and thickness uniformity of the glass; its complex internal temperature and flow fields directly influence the forming quality.

[0003] Traditional methods typically involve comparing the actual thickness of the glass strip detected online with the target thickness to obtain a thickness deviation value. When a local thickness deviation (excessive thickness) of the glass strip is detected, the controller calculates the required temperature compensation based on this deviation value and outputs a command to increase the heating power of the corresponding temperature zone.

[0004] However, due to the enormous heat capacity of the solder bath, temperature regulation exhibits a significant thermal inertia lag. When the thickness gauge detects a thickness deviation and instructs the heater to heat up, it takes several minutes for the molten solder and protective gas to reach the set temperature, and further time is required to change the glass viscosity. During this long response cycle, tens of meters of glass strip have already flowed through the forming zone. This results in the control action always being half a beat too late, not only failing to correct the current thickness defect, but the delayed heating can also cause subsequent normally functioning glass sections to become too thin, thus triggering oscillations in thickness parameters and making it impossible to achieve high-precision steady-state quality control. Summary of the Invention

[0005] This application provides a method, system, medium, and product for optimizing the quality of float glass products, which is used to solve the problem of delayed response in thickness adjustment caused by the large thermal inertia of the tin bath during the float glass forming process, and to achieve rapid real-time compensation and high-precision steady-state repair of abnormal thickness areas of the glass strip.

[0006] Firstly, this application provides a method for optimizing the quality of float glass products, applied to a glass quality optimization system. The system includes at least multiple thermal control zones distributed sequentially according to the glass flow direction. Each thermal control zone is equipped with a heating component and an edge-pulling machine component. An online thickness measuring device is installed at the system's outlet. The method includes: acquiring the transverse thickness distribution curve output by the online thickness measuring device in real time; comparing the transverse thickness distribution curve with a preset standard thickness baseline to filter out abnormal thickness regions where the thickness value exceeds the allowable deviation range; tracing and locating the target thermal control zone that generates the abnormal thickness region based on the glass strip's pulling speed, and identifying the target heating component and target edge-pulling machine component within the target thermal control zone; and targeting the target... The thermal control zone generates a mechanical stretching command containing stretching operation parameters and a temperature adjustment command containing the target temperature, based on the thickness deviation of the abnormal thickness area. It acquires the actual temperature of the molten solder within the target thermal control zone. When the actual temperature does not match the target temperature, the mechanical stretching command is executed to adjust the stretching operation parameters of the target edge-pulling machine assembly. Simultaneously, the temperature adjustment command is executed to adjust the target heating assembly to approach the target temperature at a preset rate. During the execution of the temperature adjustment command, the speed difference between the stretching speed and the glass flow rate in the stretching operation parameters is adjusted according to the closeness between the actual temperature and the target temperature, until the actual temperature reaches the target. Then, the target edge-pulling machine assembly is restored to a state of synchronous operation with the glass strip.

[0007] By adopting the above technical solution, the problem of control lag caused by the huge thermal inertia of the tin bath is solved by leveraging the complementary characteristics of fast mechanical action response and strong thermal regulation. Specifically, at the moment an abnormal thickness is detected, the system prioritizes the activation of the edge-pulling machine component to perform mechanical stretching or blocking actions. The physical stress generated by changing the pulling speed is used to immediately correct the rheological state of the molten glass, compensating for the thickness deviation during the thermal inertia lag period. As the heating component power increases and the molten glass temperature gradually approaches the target value, the glass viscosity undergoes a substantial change. At this point, the system dynamically cancels the mechanical intervention, achieving a seamless transition between the two control methods. This process not only eliminates the unresponsive dead zone in the traditional single temperature control mode and avoids long-distance scrap bands caused by waiting for heating, but also effectively suppresses repeated oscillations in thickness parameters caused by temperature control lag, thereby significantly improving the extremely short-term response speed and long-term steady-state control accuracy of the float glass forming process.

[0008] In conjunction with some embodiments of the first aspect, in some embodiments, the step of tracing and locating the target thermal control zone that generates the abnormal thickness region based on the glass strip's pulling speed, and determining the target heating component and target edge-pulling machine component within the target thermal control zone, specifically includes: obtaining the physical distance between the online thickness measuring device and each thermal control zone on the glass transport path; calculating the process transfer lag time required for the glass strip to flow from each thermal control zone to the online thickness measuring device based on the current pulling speed of the glass strip and the physical distance data; and retrospectively deducting the process transfer lag time based on the detection time of the online thickness measuring device. The time is used to estimate the historical forming time of each thermal control zone; the longitudinal extension characteristics and lateral offset position of the abnormal thickness area are analyzed based on the lateral thickness distribution curve; the forming process stage to which the abnormal thickness area belongs is determined according to the longitudinal extension characteristics, and the corresponding historical forming time is used as the time reference benchmark. The thermal control zone that matches the forming process stage is selected from each thermal control zone as the target thermal control zone; within the target thermal control zone, a heating component and an edge-pulling machine component corresponding to the same side position are selected according to the lateral offset position, and are respectively determined as the target heating component and the target edge-pulling machine component.

[0009] By employing the aforementioned technical solution, the system can penetrate the fog of time and accurately pinpoint the specific thermal control zone and its internal hardware components that cause the current defect. This targeted positioning avoids disrupting the normal glass flow field by blindly adjusting the temperature of the entire zone, ensuring that control commands act only on the physical root cause of the defect. This achieves precise, minimally invasive point-to-point repair of the formed flow field and significantly reduces the interference of the adjustment process on the surrounding stable flow field.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, for the target thermal control zone, based on the thickness deviation of the abnormal thickness region, the steps of generating a mechanical stretching command containing stretching operation parameters and a temperature adjustment command containing the target temperature respectively include: retrieving a preset thickness correction-temperature change compensation mapping relationship, calculating the corresponding temperature adjustment compensation value according to the thickness deviation; superimposing the temperature adjustment compensation value onto the actual temperature to obtain the target temperature, and generating the temperature adjustment command; obtaining the main drive speed of the production line as a reference value, determining the linear speed adjustment amount according to the thickness deviation and the thickness correction-speed compensation mapping relationship, and generating the mechanical stretching command in combination with the reference value: when the thickness deviation indicates that the glass strip thickness exceeds the upper limit, setting the linear speed of the target edge-pulling machine higher than the reference value, so as to apply a stretching force along the flow direction to the glass liquid using the speed difference for thinning; when the thickness deviation indicates that the glass strip thickness exceeds the lower limit, setting the linear speed of the target edge-pulling machine lower than the reference value, so as to use the physical obstruction of the glass liquid to form a compression accumulation for thickening.

[0011] By adopting the above technical solution, complex fluid viscosity control is transformed into instantaneously executable mechanical kinematic control, providing a means to directly intervene in thickness without altering the thermophysical properties of the molten glass. Its value lies in providing the system with an adjustment dimension independent of the temperature field, enabling the system to possess millisecond-level powerful correction capabilities when facing sudden thickness fluctuations, significantly improving the robustness of the forming process.

[0012] In some embodiments of the first aspect, the step of generating the mechanical stretching command based on the reference value further includes: estimating the lateral shrinkage stress of the glass strip caused when the linear speed adjustment is performed based on the thickness deviation; calculating a deflection angle compensation value to offset the force based on the lateral shrinkage stress; and adding the deflection angle compensation value to the mechanical stretching command to instruct the target edge-pulling machine assembly to simultaneously adjust the head swing angle when performing the linear speed adjustment.

[0013] By adopting the above technical solution and synchronously driving the machine head to swing, the resultant force vector direction applied by the edge-pulling machine always maintains the optimal angle with the ideal glass rheological path. This dynamic torque balance mechanism ensures that the width of the glass strip remains constant when making significant thickness corrections, avoiding secondary forming defects such as edge shrinkage and flared edges caused by "robbing Peter to pay Paul," and ensuring that the geometric appearance quality of the product is not sacrificed while optimizing the thickness indicators.

[0014] In conjunction with some embodiments of the first aspect, in some embodiments, during the execution of the temperature adjustment command, the step of adjusting the speed difference between the stretching speed and the glass flow rate in the stretching operation parameters based on the proximity of the actual temperature to the target temperature specifically includes: calling a preset temperature-speed sensitivity correlation model, which records the equivalent amount of edge-pulling machine linear speed adjustment replaced by a unit temperature change in different temperature ranges; calculating the temperature completion degree of the actual temperature relative to the target temperature in real time; matching the corresponding current sensitivity coefficient from the temperature-speed sensitivity correlation model based on the current actual temperature; calculating the speed compensation value to be revoked based on the temperature completion degree and the current sensitivity coefficient, and subtracting the speed compensation value to be revoked from the current stretching operation parameters.

[0015] By employing the above technical solution, during the heating process, the system calculates and precisely deducts excess mechanical speed compensation values ​​in real time based on the actual temperature completion. This dynamic compensation mechanism prevents "overcompensation" during the overlapping period of simultaneous temperature and mechanical force action, i.e., it prevents the glass from becoming too thin due to the originally appropriate tensile force as the glass softens. Its core value lies in ensuring the smoothness of the transition from "strong mechanical control" to "strong thermal control," eliminating abrupt thickness changes caused by the control mode switching, and maintaining the consistency of glass ribbon forming quality.

[0016] In some embodiments of the first aspect, after generating the mechanical stretching command based on the reference value, the method further includes: determining whether the linear speed adjustment exceeds a preset single-machine safety adjustment threshold; if it exceeds, determining that execution by a single target edge-pulling machine assembly will cause stress concentration at the edge of the glass strip; defining the portion exceeding the single-machine safety adjustment threshold as an overflow adjustment amount; and while the target edge-pulling machine assembly performs the action corresponding to the single-machine safety adjustment threshold, distributing the overflow adjustment amount to the upstream and downstream adjacent auxiliary edge-pulling machine assemblies of the target edge-pulling machine assembly in a decreasing proportion to generate an auxiliary coordination command.

[0017] By adopting the above technical solution, when the calculated correction amount exceeds the physical or process safety threshold of a single device, the system intelligently distributes the overflow adjustment load to adjacent upstream and downstream auxiliary edge-pulling machine components in a decreasing proportion. This strategy based on flexible load balancing transforms the intense mechanical shear force originally concentrated at a single point into a gentle stress gradient over a region. Its value lies in greatly expanding the system's ability to repair severe thickness defects. While ensuring that the glass strip is not broken and optical distortion (ripples) is not generated, it achieves safe correction of large-deviation thickness anomalies, significantly improving the safety operating coefficient and yield rate of the production line.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, during the execution of the temperature adjustment command, after adjusting the speed difference between the stretching speed and the glass flow rate in the stretching operation parameters according to the closeness between the actual temperature and the target temperature until the actual temperature reaches the target, and then restoring the target edge-pulling machine assembly to a state of synchronous operation with the glass strip, the method further includes: after the new glass strip flows through the online thickness measuring device, determining the final residual thickness deviation of the new glass strip; determining whether the final residual thickness deviation still exceeds the allowable deviation range; if it does, it indicates that there is a model mismatch in the preset thickness correction-temperature change compensation mapping relationship; calculating the model correction coefficient according to the ratio of the final residual thickness deviation to the initial thickness deviation; and updating the preset thickness correction-temperature change compensation mapping relationship using the model correction coefficient.

[0019] By adopting the above technical solution, the system continuously monitors the final residual thickness deviation of newly produced glass ribbons to evaluate the actual implementation effect of the current control strategy. If the deviation is not eliminated, it is determined that the preset mapping model has an error. Subsequently, the system uses the ratio between the residual deviation and the initial deviation to calculate the correction coefficient in reverse and automatically updates the mapping relationship between thickness correction and temperature change compensation. This closed-loop iterative mechanism enables the system to automatically adapt to environmental changes caused by uncontrollable factors such as solder bath aging, thermocouple drift, or solder oxidation, ensuring that the predictive accuracy of the control algorithm remains optimal as production time progresses, achieving high-precision adaptive control throughout the entire life cycle.

[0020] In a second aspect, this application provides a glass quality optimization system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, which includes computer instructions, and the one or more processors call the computer instructions to cause the glass quality optimization system to perform the method described in the first aspect and any possible implementation thereof.

[0021] Thirdly, this application provides a computer-readable storage medium including instructions that, when executed on a glass quality optimization system, cause the glass quality optimization system to perform the method described in the first aspect and any possible implementation thereof.

[0022] Fourthly, this application provides a computer program product, including a computer program that, when run on a glass quality optimization system, causes the glass quality optimization system to perform the methods described in the first aspect and any possible implementation thereof.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. By employing a closed-loop control strategy based on the synergy of temperature control and mechanical stretching, when an anomaly is detected, the edge-pulling machine is prioritized to instantly correct the thickness using the physical stress generated by the speed difference. During the subsequent thermal response period, the mechanical intervention is dynamically withdrawn based on the degree of temperature approach. Therefore, this effectively solves the technical problem in existing float glass processes where the significant thermal inertia of the tin bath leads to a severe lag in the response of simple temperature control, resulting in the inability to promptly repair thickness defects in long-distance glass strips. This achieves seamless integration of millisecond-level rapid correction of sudden thickness deviations with long-term thermal steady-state control, eliminating control dead zones and significantly improving the control accuracy of forming quality.

[0024] 2. By employing differentiated mechanical command generation technology based on the main drive speed reference, the linear speed of the edge-pulling machine is set higher or lower than the reference value according to the thickness deviation direction. This allows for direct application of flow-oriented tensile force to the molten glass using the speed difference for thinning or extrusion thickening using physical barriers. Therefore, it effectively solves the technical problem of traditional methods relying on temperature changes to adjust fluid viscosity, which is time-consuming and unable to meet the forming requirements of rapid rheological changes. Furthermore, it establishes an instantaneous adjustment dimension independent of the temperature field, giving the system a robust ability to immediately repair thickness defects without altering the thermophysical properties of the glass.

[0025] 3. Due to the adoption of a dynamic decoupling adjustment mechanism based on a temperature-velocity sensitivity correlation model, during the execution of the heating command, the stretching efficiency increased due to the decrease in viscosity is quantitatively calculated in real time based on the degree of completion of the actual temperature relative to the target temperature. Based on this, redundant speed compensation values ​​in the mechanical parameters are eliminated simultaneously, thereby achieving the constantness of the glass rheological rate during the transition from strong mechanical intervention to thermodynamic steady-state control, preventing thickness parameter oscillations, and ensuring the consistency of the final molding quality. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of a system framework for the glass quality optimization system in an embodiment of this application; Figure 2 This is a flowchart illustrating a method for optimizing the quality of float glass products in an embodiment of this application. Figure 3 This is another flowchart illustrating the float glass product quality optimization method in this application embodiment; Figure 4 This is a schematic diagram of the physical device structure of a glass quality optimization system in the embodiments of this application. Detailed Implementation

[0027] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification and appended claims of this application, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to and includes any or all possible combinations of one or more of the listed items.

[0028] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0029] For ease of understanding, the system framework of the glass quality optimization system in the embodiments of this application will be described below. Please refer to... Figure 1 This is a schematic diagram of a system framework for the glass quality optimization system in an embodiment of this application.

[0030] exist Figure 1 In this system, the glass quality optimization system is divided into multiple independent thermal control zones along the process flow of the float glass production line, with each zone logically defined by dashed lines. Within each specific thermal control zone, heating components and edge-pulling machine components are symmetrically arranged on both sides of the glass strip. The heating components are represented by rectangular symbols, and the edge-pulling machine components by circular symbols. They are distributed adjacently to coordinate local temperature control and mechanical stretching. At the end of the system's production flow, i.e., the exit position, an online thickness measuring device is installed to perform real-time thickness measurement across the entire width of the glass strip after temperature control and stretching treatment.

[0031] The following describes the process of the method provided in this implementation. Please refer to [link / reference]. Figure 2 This is a flowchart illustrating a method for optimizing the quality of float glass products in an embodiment of this application.

[0032] S201. Real-time acquisition of the transverse thickness distribution curve output by the online thickness measuring device; Among them, the online thickness measuring device refers to the non-contact inspection equipment installed at the back end of the annealing furnace or the outlet of the tin bath in the float glass production line. It usually uses the principle of X-ray or laser triangular reflection to scan the full width of the glass strip in motion. The transverse thickness distribution curve refers to the data set of the thickness value of each point on the cross section perpendicular to the running direction of the glass strip at a certain moment, which varies with the transverse position. The shape of this curve intuitively reflects the flatness and thickness difference distribution of the glass plate surface.

[0033] During the continuous production and transport of glass strips, the system periodically reads the raw detection data uploaded by the online thickness measuring device through the communication interface. The system filters and smooths the raw data to eliminate environmental noise interference, thereby constructing a high-precision lateral thickness distribution curve. This step is the perception foundation of the entire closed-loop control logic. By frequently refreshing this curve, the system ensures that it can capture the dynamic changes in the thickness of the glass strip.

[0034] S202. Compare the transverse thickness distribution curve with the preset standard thickness baseline to screen out abnormal thickness areas where the thickness value exceeds the allowable deviation range. The standard thickness baseline represents the distribution trajectory of the ideal thickness value set according to the process specifications of the current product in the horizontal width.

[0035] The system uses an algorithm to perform point-by-point difference calculations between the real-time acquired lateral thickness distribution curve and the standard thickness baseline. During the calculation, the system determines whether the absolute value of the thickness deviation at each sampling point exceeds a preset tolerance threshold. Once multiple consecutive sampling points are found to have deviations exceeding the limit, the system locks the corresponding lateral coordinate ranges of these points, marks them as abnormal thickness regions, and simultaneously records the start coordinates, end coordinates, and extreme point locations of these regions. This step can isolate extremely small thickness fluctuations from massive amounts of data, enabling automatic identification and quantification of quality defects.

[0036] S203. Based on the pulling speed of the glass strip, trace and locate the target thermal control zone that produces the abnormal thickness area, and determine the target heating component and the target edge-pulling machine component in the target thermal control zone. The drawing speed refers to the linear speed at which the glass ribbon moves along the process flow direction on the production line, and is usually obtained from the encoder feedback of the main drive motor.

[0037] This step is executed after the system has identified areas of abnormal thickness. Its core function is to accurately trace the source of thickness anomalies and clarify the responsible areas and control targets for quality problems. During execution, the system first retrieves pre-stored physical distance parameters between each thermal control zone and the online thickness measuring device. These parameters are calibrated and entered into the system database during the production line debugging phase using a laser rangefinder. Then, based on the real-time collected glass ribbon pulling speed, the system calculates the lag time corresponding to each thermal control zone using the formula "Process transfer lag time = Physical distance ÷ Pulling speed". For example, if the physical distance between a thermal control zone and the thickness measuring device is 50 meters and the glass ribbon pulling speed is 2 meters per minute, the corresponding process transfer lag time is 25 minutes. Next, using the moment the online thickness measuring device detects the abnormal thickness area as a baseline, the system retrospectively deducts the process transfer lag time of each thermal control zone to calculate the historical forming time of the glass ribbon cross-section corresponding to the abnormal area in each thermal control zone. The system then integrates and analyzes the lateral thickness distribution curve and multiple sets of continuous detection data to determine the longitudinal extension characteristics and lateral offset position of the abnormal thickness area. If the longitudinal extension length is 5 meters, combined with the pulling speed, the duration of the abnormality can be determined to be 2.5 minutes, corresponding to the processing time of a certain thermal control zone. Next, based on the longitudinal extension characteristics, the forming process stage to which the abnormality belongs is determined. For example, thickness abnormalities in the high-temperature forming stage usually have a longer longitudinal extension, while those in the low-temperature setting stage have a shorter longitudinal extension. The determined process stage is matched with the function of each thermal control zone to select the target thermal control zone. Finally, within the target thermal control zone, based on the lateral offset position of the abnormal thickness area, the heating component and edge-pulling machine component corresponding to the same side are selected as the target components. For example, if the abnormal area is biased to the left of the glass strip, the heating component and edge-pulling machine component on the left side of the target thermal control zone are selected. This step, through a combination of temporal backtracking and spatial positioning, solves the problems of difficulty in tracing the source of thickness abnormalities and poor targeting of control in float glass production. It provides a clear target for subsequent precise control, avoiding product quality fluctuations and energy waste caused by blind control.

[0038] S204. For the target thermal control zone, based on the thickness deviation of the abnormal thickness area, generate a mechanical stretching command containing stretching operation parameters and a temperature adjustment command containing the target temperature. Among them, the mechanical stretching command refers to the control signal sent to the edge-pulling machine control system, which includes action parameters such as linear speed, machine head angle, and pressing depth; the temperature adjustment command refers to the control signal sent to the temperature control system, which includes a new temperature setpoint or power output percentage.

[0039] The specific generation instructions will be described in detail in subsequent steps S301-S305, and will not be repeated here.

[0040] S205. Obtain the actual temperature of the molten tin in the target thermal control zone; The actual temperature refers to the temperature value of the molten tin or protective gas collected in real time by thermocouples or infrared thermometers installed in the target thermal control zone; the molten tin refers to the molten metallic tin that serves as the supporting medium for the glass strip in the float glass forming process, and its temperature directly determines the viscosity characteristics and spreading performance of the molten glass.

[0041] The system polls the temperature sensor data of the target thermal control zone in real time via a fieldbus, and performs analog-to-digital conversion and temperature compensation correction on the collected analog signals. To prevent misjudgments caused by local disturbances, the system typically performs weighted averaging of multiple sampled values ​​within a short period of time to obtain the current true thermodynamic state data of the zone.

[0042] S206. When the actual temperature does not match the target temperature, execute the mechanical stretching command and adjust the stretching operation parameters of the target edge-pulling machine component. Mismatch indicates that the actual temperature has not yet reached the target value set in the temperature adjustment command, and the difference between the two exceeds the preset dead zone range.

[0043] Due to the significant thermal inertia of the tin bath, it takes a considerable amount of physical time for the temperature to rise from the actual value to the target value. During this period, thickness deviations cannot be immediately corrected by simply relying on temperature regulation. Therefore, the system determines that as long as the temperature does not meet the target, it immediately issues a mechanical stretching command to drive the target edge-pulling machine assembly. For example, when a localized area of ​​the glass strip is excessively thick and the temperature has not yet reached the required level, resulting in high glass viscosity that prevents it from naturally thinning, the system commands the edge-pulling machine to accelerate, using physical traction to forcibly thin the molten glass in that area. This step utilizes the fast response and direct execution of mechanical actions to fill the control gap before thermal regulation takes effect, thereby quickly suppressing the continued generation of thickness defects and significantly reducing the scrap rate during the transition period.

[0044] S207. Simultaneously execute the temperature adjustment command to adjust the target heating component to approach the target temperature at a preset rate; The preset rate refers to the temperature rise limit per unit time set to avoid drastic temperature changes that could cause the glass strip to crack or the refractory material to be damaged.

[0045] Simultaneously with initiating mechanical compensation, the system sends a temperature adjustment command to the temperature control unit. The temperature control unit adjusts the conduction angle of the thyristor power regulator according to the command, increasing the output power of the target heating component. The system monitors the slope of temperature change to ensure that the heating process complies with process safety specifications. This process fundamentally corrects the rheological properties of glass forming. As the temperature rises, the surface tension and viscosity of the molten glass change, giving it the physical basis to naturally level or reach the target thickness. This step is not only to complement the current thickness correction but also to restore the forming environment to an ideal state that does not rely on additional mechanical intervention, thus fundamentally solving the problem of uneven thickness.

[0046] S208. During the execution of the temperature adjustment command, the speed difference between the stretching speed and the glass flow rate in the stretching operation parameters is adjusted according to the closeness between the actual temperature and the target temperature, until the actual temperature reaches the target, and the target edge-pulling machine component is restored to the state of synchronous operation with the glass strip.

[0047] Among them, the degree of proximity indicates the percentage of the current actual temperature relative to the target temperature or the remaining temperature difference; the speed difference indicates the difference between the edge speed of the edge-pulling machine wheel and the flow speed of the glass belt body, and this difference determines the strength of the mechanical stretching or blocking effect; the synchronous operation state indicates that the speed of the edge-pulling machine is basically the same as the speed of the glass belt, and no longer applies active stretching or stacking force, but only plays a clamping and guiding role.

[0048] This is a dynamic process of trade-offs and transitions. As the heating components continue to operate, the temperature of the molten tin gradually increases, the viscosity of the molten glass decreases, and its natural thinning ability is enhanced. At this point, the dependence on mechanical forced stretching decreases accordingly. The system calculates the temperature accuracy in real time and, based on a preset temperature and speed sensitivity correlation model, linearly or non-linearly reduces the speed compensation of the edge-pulling machine.

[0049] Specifically, this needs to be synchronized with the temperature control of the target heating component. Its core function is to achieve dynamic coordination between thermal control and mechanical stretching control, avoiding over-correction of thickness caused by the superposition of the two control methods. During execution, the glass quality optimization system first calls the temperature-speed sensitivity correlation model pre-stored in the system database. This model divides the molten tin temperature into multiple intervals, each interval corresponding to a unique sensitivity coefficient. For example, in the 800℃-900℃ interval, the sensitivity coefficient is 0.6m / (min・℃), meaning that for every 1℃ increase in molten tin temperature within this interval, it is equivalent to a thickness correction effect equivalent to an increase of 0.6m / min in the edge-drawing machine's linear speed. Subsequently, the system collects the actual molten tin temperature of the target thermal control zone in real time and calculates the current temperature completion rate based on the formula "Temperature Completion Rate = (Actual Temperature - Initial Temperature) ÷ (Target Temperature - Initial Temperature) × 100%". The initial temperature is the molten tin temperature at the time the temperature adjustment command is executed. Then, the system matches the corresponding temperature interval based on the current actual temperature and extracts the sensitivity coefficient for that interval from the model. Finally, the system calculates the speed compensation value to be revoked by combining the temperature completion rate and the sensitivity coefficient. The calculation formula is "Speed ​​compensation value to be revoked = Temperature completion rate × Sensitivity coefficient × (Target temperature - Initial temperature)". This value is then deducted from the linear speed adjustment of the current stretching operation parameters, gradually reducing the difference between the stretching speed of the edge-pulling machine and the glass flow rate. This step establishes an equivalent relationship between temperature and speed, achieving precise matching of the two control methods, improving the consistency and stability of thickness correction, and reducing the probability of glass strip thickness exceeding tolerance.

[0050] In the above embodiment, by employing spatiotemporal backtracking positioning technology based on process transfer lag time, the target thermal control zone and specific execution components causing defects are accurately located. Combining the instantaneous response advantage of mechanical stretching with the fundamental rheological characteristics of thermal regulation, a dual-modal control strategy of mechanical compensation and thermal correction is constructed. Therefore, when facing the huge thermal inertia of the tin bath, the rapid mechanical action of the edge-pulling machine can quickly fill the control gap before the temperature regulation takes effect. As the thermal environment is optimized, the control is smoothly transferred from mechanical forced intervention to natural thermal forming. This effectively solves the problems of spatiotemporal mapping disconnect caused by "inspection after, control before" in float glass production, long-term scrap production caused by large lag of single temperature control, and stress concentration at the edge of the glass strip caused by long-term reliance on mechanical hard stretching. Thus, precise closed-loop correction of thickness deviation across time periods is achieved, significantly improving the float glass production line's rapid self-healing ability to quality fluctuations and the overall stability of the forming process.

[0051] In some embodiments, after the adjusted new glass strip completes online thickness detection, a closed-loop feedback mechanism for the thickness correction effect can be established to dynamically optimize the preset model and improve the accuracy of subsequent thickness control. During execution, the glass quality optimization system first acquires the transverse thickness distribution curve of the new glass strip detected by the online thickness measuring device, compares it point-by-point with the standard thickness baseline, calculates the thickness difference at each detection point, and takes the maximum value of the difference as the final residual thickness deviation. The system then determines whether this final residual thickness deviation exceeds the allowable deviation range. If it does not exceed the allowable range, the current thickness correction-temperature compensation mapping relationship is deemed to be compatible with production requirements and requires no adjustment; if it exceeds the allowable range, the model is deemed to have a mismatch problem.

[0052] The system further retrieves the initial thickness deviation corresponding to the new glass strip and calculates the correction coefficient using the formula "Model Correction Coefficient = 1 - (Final Residual Thickness Deviation ÷ Initial Thickness Deviation)". This coefficient reflects the degree of deviation between the current model output value and the actual required value. Finally, the system uses the model correction coefficient to globally update the preset thickness correction-temperature compensation mapping relationship. That is, for each thickness deviation in the mapping relationship, the temperature adjustment compensation value is multiplied by the model correction coefficient to obtain the updated temperature adjustment compensation value, forming an optimized mapping relationship. The effect of this step is to construct a closed-loop optimization system for thickness control, solve the problem of decreased model adaptability caused by fluctuations in production conditions, achieve continuous improvement in thickness correction accuracy, and ensure the stability of float glass product quality.

[0053] Following the above embodiments, the method provided in this embodiment will now be described in more detail. Please refer to [link / reference]. Figure 3 This is another flowchart illustrating the float glass product quality optimization method in this application embodiment.

[0054] S301. Retrieve the preset thickness correction-temperature change compensation mapping relationship, and calculate the corresponding temperature adjustment compensation value based on the thickness deviation. This step is executed after the system determines the target thermal control zone and target components, but before generating temperature adjustment commands. During execution, the glass quality optimization system retrieves a preset thickness correction-temperature compensation mapping relationship from the local database. This mapping relationship is calibrated through numerous orthogonal experiments and covers the corresponding data of thickness deviation and temperature adjustment compensation values ​​for different product specifications and different forming stages. For example, for 3mm float glass, when the thickness deviation is +0.3mm (exceeding the upper limit), the corresponding temperature adjustment compensation value is +8℃; when the thickness deviation is -0.2mm (exceeding the lower limit), the corresponding temperature adjustment compensation value is +5℃. The system uses the thickness deviation of the abnormal thickness area calculated in the previous step as an input parameter, substitutes it into this mapping relationship, and calculates the corresponding temperature adjustment compensation value by looking up a table or model. If the thickness deviation is between two calibrated values ​​in the mapping relationship, a linear interpolation method is used to calculate a precise temperature adjustment compensation value to ensure the accuracy of temperature control. The purpose of this step is to provide a scientific basis for determining the target temperature, to achieve a precise match between the temperature adjustment amount and the thickness deviation, and to avoid glass quality defects caused by blindly increasing the temperature.

[0055] S302. The temperature adjustment compensation value is superimposed on the actual temperature to obtain the target temperature, and the temperature adjustment command is generated. This step is executed after the temperature adjustment compensation value calculation is completed and the actual temperature of the molten tin in the target thermal control zone is obtained. During execution, the system first obtains the real-time actual temperature of the molten tin in the target thermal control zone, and then adds this actual temperature to the temperature adjustment compensation value calculated by S301, i.e., target temperature = actual temperature + temperature adjustment compensation value, to obtain the target temperature. Subsequently, the system generates a corresponding temperature adjustment command based on the target temperature. In addition to specifying the target temperature, the command must also include a preset temperature adjustment rate parameter. This rate is set according to the viscosity characteristics of the molten glass and the requirements of the forming process. The heating rate is typically 1~3℃ / min, and the cooling rate is typically 0.5~1℃ / min, to avoid sudden temperature changes that could cause localized overheating or undercooling of the molten glass, resulting in defects such as bubbles and cracks. Simultaneously, the command must also include temperature feedback interval requirements during the heating or cooling process to ensure that the system can monitor temperature changes in real time.

[0056] S303. Obtain the main drive speed of the production line as a reference value. Based on the thickness deviation and the thickness correction-speed compensation mapping relationship, determine the linear speed adjustment amount and generate the mechanical stretching command in combination with the reference value. This step is executed synchronously with S301, after the target thermal control zone and target component are determined, and before the mechanical stretching command is generated. During execution, the system obtains the real-time main drive speed through the speed sensor of the production line's main drive system, using it as the reference value for linear speed adjustment. Then, it retrieves the preset thickness correction-speed compensation mapping relationship, which is calibrated based on tensile test data for different glass specifications. For example, for 5mm float glass, when the thickness deviation is +0.4mm, the corresponding linear speed adjustment is +1.2m / min; when the thickness deviation is -0.3mm, the corresponding linear speed adjustment is -0.8m / min. The system substitutes the thickness deviation into this mapping relationship to calculate the corresponding linear speed adjustment. If the thickness deviation is a non-calibrated value, a precise adjustment is calculated using quadratic interpolation. Finally, the system combines the baseline value with the linear speed adjustment to generate a mechanical stretching command. The command specifies the target linear speed of the edge-pulling machine (baseline value ± linear speed adjustment), the linear speed adjustment rate (usually 0.2~0.5m / min・s), and the corresponding clamping force parameters to ensure a smooth stretching process.

[0057] The effect of this step is to transform the thickness correction requirement into specific mechanical stretching control commands, achieving precise matching between mechanical control and thickness deviation, and providing a basis for the precise adjustment of the subsequent edge-pulling machine.

[0058] In some embodiments, after the system generates the linear speed adjustment amount but before finally determining the mechanical stretching command, the sway angle of the edge-pulling machine head can be adjusted synchronously to counteract the lateral shrinkage stress caused by the linear speed adjustment and avoid secondary defects in the glass strip.

[0059] During execution, the glass quality optimization system first calculates the transverse shrinkage stress based on the thickness deviation and linear speed adjustment, combined with a pre-set stress prediction model. This stress prediction model was established through numerous process experiments, covering transverse shrinkage stress data corresponding to different thickness specifications and different linear speed adjustments. For example, for a 3mm glass strip, when the linear speed adjustment is +1m / min, the predicted transverse shrinkage stress is 2.5MPa. Subsequently, the system calculates the deflection angle compensation value based on the magnitude and direction of the transverse shrinkage stress: based on the principle of mechanical equilibrium, the width component force generated after the edge-pulling machine head deflects must be equal in magnitude and opposite in direction to the transverse shrinkage stress. This is calculated using the formula "Deflection angle compensation value = arcsin(transverse shrinkage stress ÷ edge-pulling machine clamping force)," where the edge-pulling machine clamping force is a preset process parameter. Finally, the system adds the calculated deflection angle compensation value to the mechanical stretching command, so that the command simultaneously includes both the linear speed adjustment requirement and the machine head swing angle adjustment requirement. For example, if the estimated lateral shrinkage stress is 2 MPa and the clamping force of the edge-pulling machine is 5 MPa, then the deflection angle compensation value is approximately 23.6°. The system adds the parameter "increase the head swing angle by 23.6°" to the mechanical stretching command. After receiving the command, the target edge-pulling machine component adjusts the head swing angle simultaneously while adjusting the linear speed, thereby balancing the lateral shrinkage stress through the resulting offsetting force. The effect of this step is to achieve stress balance control during the mechanical stretching process, avoid edge defects in the glass strip caused by linear speed adjustments, and improve the stability of the glass product forming quality.

[0060] S304. When the thickness deviation indicator glass strip thickness exceeds the upper limit, the linear speed of the target edge-pulling machine is set to be higher than the reference value. The system first determines the positive or negative attribute of the thickness deviation. When the deviation is positive, it is determined to be a thickness exceeding the upper limit. Since the glass ribbon thickness exceeding the upper limit originates from excessive local accumulation during the glass melt flow, a greater tensile force needs to be applied by the edge-pulling machine to stretch and thin the glass ribbon along the conveying direction. Therefore, the system sets the linear speed adjustment to a positive value, and the target edge-pulling machine's linear speed = baseline value + linear speed adjustment. For example, if the baseline value is 5 m / min and the linear speed adjustment is +1 m / min, then the target edge-pulling machine's linear speed is set to 6 m / min. When the edge-pulling machine operates at a speed higher than the glass ribbon's conveying speed, it generates a greater traction force on the glass ribbon's edge, stretching the entire glass ribbon cross-section along the conveying direction, thereby reducing the local thickness and correcting the thickness exceeding the upper limit. The effect of this step is to formulate a precise mechanical stretching strategy for the thickness exceeding the upper limit scenario. By increasing the edge-pulling machine's linear speed to apply tensile force, it quickly corrects the thickness deviation and prevents overly thick glass products from flowing into the next process.

[0061] S305. When the thickness of the glass strip exceeds the lower limit, the linear speed of the target edge-pulling machine is set to be lower than the reference value.

[0062] This step is executed at the same time as S304, during the generation of the mechanical stretching command, and is applicable to abnormal scenarios where the thickness exceeds the lower limit. During execution, if the system determines that the thickness deviation is negative, it indicates that the thickness exceeds the lower limit, meaning the glass strip is too thin. Excessive glass strip thickness is due to overstretching of the molten glass. In this case, the stretching force needs to be reduced, and the thickness is increased through the natural accumulation of the molten glass. Therefore, the system sets the linear speed adjustment to a negative value; the target edge-pulling machine's linear speed = reference value - linear speed adjustment. For example, if the reference value is 5 m / min and the linear speed adjustment is -0.8 m / min, then the target edge-pulling machine's linear speed is set to 4.2 m / min. When the edge-pulling machine operates at a speed lower than the glass strip's conveying speed, it will create some obstruction at the edge of the glass strip, slowing down its conveying speed and causing the subsequently flowing molten glass to accumulate appropriately in that area, thereby increasing the local thickness and correcting the thickness exceeding the lower limit. The effect of this step is to develop a differentiated mechanical stretching strategy for scenarios where the thickness exceeds the lower limit. By reducing the linear speed of the edge-pulling machine, a stacking effect is created to precisely thicken the glass strip and ensure that the product thickness meets the specifications.

[0063] In this embodiment, by retrieving a preset mapping relationship, the temperature adjustment compensation value and the linear speed adjustment amount are calculated respectively, generating temperature adjustment commands and mechanical stretching commands. For two different scenarios of thickness exceeding the upper and lower limits, the relative magnitude of the edge-pulling machine's linear speed and the reference value are precisely set, achieving coordinated matching of thermal control and mechanical control. Therefore, a targeted correction strategy can be formulated according to the specific situation of thickness deviation, effectively solving the problems of single thickness correction methods, low control accuracy, and easy secondary defects caused by over-correction in float glass production. This achieves accurate and efficient correction of glass strip thickness, improving the thickness consistency and pass rate of float glass products.

[0064] In some embodiments, after calculating the linear speed adjustment amount but before issuing the mechanical stretching command, the system distributes the linear speed adjustment load through multi-machine coordinated adjustment to avoid glass strip edge defects caused by single-machine overload. During execution, the glass quality optimization system first retrieves the pre-stored single-machine safety adjustment threshold, which is calibrated according to different specifications of glass strips. For example, the single-machine safety adjustment threshold for 3mm thin glass is ±1m / min, and the single-machine safety adjustment threshold for 8mm thick glass is ±1.5m / min. Subsequently, the system compares the calculated linear speed adjustment amount with the single-machine safety adjustment threshold. If the linear speed adjustment amount does not exceed the threshold, the command is directly issued for the target edge-pulling machine component to execute independently; if the linear speed adjustment amount exceeds the threshold, it is determined that the execution of a single edge-pulling machine will cause stress concentration at the edge of the glass strip, and then the overflow adjustment amount is calculated.

[0065] The system distributes the overflow adjustment amount to the upstream and downstream adjacent auxiliary edge-pulling machine components of the target edge-pulling machine component according to a preset decreasing ratio. For example, if the decreasing ratio is set to 60% for the upstream component and 40% for the downstream component, and the overflow adjustment amount is 1 m / min, then the upstream auxiliary edge-pulling machine will receive an adjustment amount of 0.6 m / min, and the downstream auxiliary edge-pulling machine will receive an adjustment amount of 0.4 m / min. Finally, the system generates auxiliary coordination instructions containing the adjustment amounts of the target edge-pulling machine component and the upstream and downstream auxiliary edge-pulling machine components, clarifying the adjustment sequence and rate of each edge-pulling machine, ensuring synchronous execution of multiple machines and uniform stress distribution.

[0066] The effect of this step is to overcome the limitations of single-machine adjustment capabilities, achieve efficient correction of large thickness deviations, and at the same time avoid secondary defects such as warping and cracking at the edges of the glass strip due to stress concentration, thus ensuring the stability and safety of the glass forming process.

[0067] The glass quality optimization system in the embodiments of this invention is described below from the perspective of hardware processing. Please refer to [link / reference]. Figure 4 This is a schematic diagram of a physical device structure of the glass quality optimization system in the embodiments of this application.

[0068] It should be noted that, Figure 4 The structure of the glass quality optimization system shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0069] like Figure 4 As shown, the glass quality optimization system includes a Central Processing Unit (CPU) 401, which can perform various appropriate actions and processes based on a program stored in Read-Only Memory (ROM) 402 or a program loaded from storage section 408 into Random Access Memory (RAM) 403, such as performing the methods described in the above embodiments. The RAM 403 also stores various programs and data required for system operation. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An Input / Output (I / O) interface 405 is also connected to the bus 404.

[0070] The following components are connected to I / O interface 405: input section 406 including audio input devices, push-button switches, etc.; output section 407 including a liquid crystal display (LCD) and audio output devices, indicator lights, etc.; storage section 408 including a hard disk, etc.; and communication section 409 including a network interface card such as a LAN (Local Area Network) card, modem, etc. Communication section 409 performs communication processing via a network such as the Internet. Drive 410 is also connected to I / O interface 405 as needed. Removable media 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 410 as needed so that computer programs read from them can be installed into storage section 408 as needed.

[0071] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit (CPU) 401, it performs the various functions defined in the present invention.

[0072] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0073] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, program segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those shown in the drawings.

[0074] Specifically, the glass quality optimization system of this embodiment includes a processor and a memory. The memory stores a computer program, and when the computer program is executed by the processor, it implements the float glass product quality optimization method provided in the above embodiment.

[0075] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the glass quality optimization system described in the above embodiments; or it may exist independently and not assembled into the glass quality optimization system. The storage medium carries one or more computer programs that, when executed by a processor of the glass quality optimization system, cause the glass quality optimization system to implement the float glass product quality optimization method provided in the above embodiments.

[0076] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0077] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as meaning "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as meaning "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0078] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for optimizing the quality of float glass products, applied to a glass quality optimization system, the system comprising at least a plurality of thermal control zones distributed sequentially according to the glass flow direction, each of the thermal control zones being equipped with a heating component and an edge-pulling machine component, and the system's outlet being equipped with an online thickness measuring device, characterized in that... The method includes: The transverse thickness distribution curve output by the online thickness measuring device is acquired in real time. The transverse thickness distribution curve is compared with a preset standard thickness baseline to filter out abnormal thickness areas whose thickness values ​​exceed the allowable deviation range. Based on the pulling speed of the glass strip, the target thermal control zone that generates the abnormal thickness area is traced and located, and the target heating component and the target edge-pulling machine component in the target thermal control zone are identified. For the target thermal control zone, based on the thickness deviation of the abnormal thickness region, a mechanical stretching command containing stretching operation parameters and a temperature adjustment command containing the target temperature are generated respectively. Obtain the actual temperature of the molten tin within the target thermal control zone; When the actual temperature does not match the target temperature, the mechanical stretching command is executed to adjust the stretching operation parameters of the target edge-pulling machine component; The temperature adjustment command is executed synchronously to adjust the target heating component to approach the target temperature at a preset rate. During the execution of the temperature adjustment command, the speed difference between the stretching speed and the glass flow rate in the stretching operation parameters is adjusted according to the closeness between the actual temperature and the target temperature, until the actual temperature reaches the target, and then the target edge-pulling machine assembly is restored to a state of synchronous operation with the glass strip.

2. The method according to claim 1, characterized in that, Based on the glass ribbon's drawing speed, the steps of tracing and locating the target thermal control zone that generates the abnormal thickness region, and determining the target heating component and target edge-pulling machine component within the target thermal control zone, specifically include: Obtain the physical distance between the online thickness measurement device and each thermal control zone on the glass transmission path; Based on the current pulling speed of the glass strip and the physical distance data, calculate the process transfer lag time required for the glass strip to flow from each thermal control zone to the online thickness measurement device; Based on the detection time of the online thickness measuring device, the historical forming time of each thermal control zone is calculated by retrospectively deducting the process transfer lag time. Based on the lateral thickness distribution curve, the longitudinal extension characteristics and lateral offset position of the abnormal thickness region are analyzed. Based on the longitudinal extension characteristics, the molding process stage to which the abnormal thickness region belongs is determined, and the corresponding historical molding time is used as a time sequence reference benchmark. From each thermal control zone, the thermal control zone that matches the molding process stage is selected as the target thermal control zone. Within the target thermal control zone, based on the lateral offset position, a heating component and an edge-pulling machine component corresponding to the same side position are selected and respectively determined as the target heating component and the target edge-pulling machine component.

3. The method according to claim 1, characterized in that, For the target thermal control zone, based on the thickness deviation of the abnormal thickness region, the steps of generating a mechanical stretching command containing stretching operation parameters and a temperature adjustment command containing the target temperature are specifically included: Retrieve the preset thickness correction-temperature change compensation mapping relationship, and calculate the corresponding temperature adjustment compensation value based on the thickness deviation. The temperature adjustment compensation value is superimposed on the actual temperature to obtain the target temperature, and the temperature adjustment command is generated. The main drive speed of the production line is obtained as a reference value. Based on the thickness deviation and the thickness correction-speed compensation mapping relationship, the linear speed adjustment amount is determined, and the mechanical stretching command is generated in combination with the reference value. When the thickness deviation indicates that the glass strip thickness exceeds the upper limit, the linear speed of the target edge-pulling machine is set to be higher than the reference value, so as to apply a tensile force along the flow direction to the molten glass to reduce its thickness by utilizing the speed difference. When the thickness deviation indicates that the glass strip thickness is below the lower limit, the linear speed of the target edge-pulling machine is set to be lower than the reference value, so as to increase the thickness by forming a compression accumulation through physical obstruction of the molten glass.

4. The method according to claim 3, characterized in that, The step of generating the mechanical stretching command based on the reference value further includes: Based on the thickness deviation, the lateral shrinkage stress of the glass strip caused when the linear speed adjustment is performed is estimated. The deflection angle compensation value that counteracts the component force is calculated based on the lateral contraction stress. The deflection angle compensation value is added to the mechanical stretching command to instruct the target edge-pulling machine assembly to simultaneously adjust the head swing angle when performing linear speed adjustment.

5. The method according to claim 1, characterized in that, During the execution of the temperature adjustment command, the step of adjusting the speed difference between the stretching speed and the glass flow rate in the stretching operation parameters according to the closeness between the actual temperature and the target temperature specifically includes: calling a preset temperature-speed sensitivity correlation model, which records the equivalent adjustment amount of the edge-pulling machine linear speed replaced by a unit temperature change in different temperature ranges. Real-time calculation of the temperature accuracy of the actual temperature relative to the target temperature; Based on the current actual temperature, the corresponding current sensitivity coefficient is matched from the temperature-velocity sensitivity correlation model; Based on the temperature completion rate and the current sensitivity coefficient, calculate the speed compensation value to be revoked, and subtract the speed compensation value to be revoked from the current tensile operation parameters.

6. The method according to claim 3, characterized in that, After the step of generating the mechanical stretching command based on the reference value, the method further includes: Determine whether the linear velocity adjustment exceeds a preset single-machine safety adjustment threshold; If the number exceeds this limit, it is determined that execution by a single target edge-pulling machine assembly will result in stress concentration at the glass strip edge. The portion exceeding the single-machine safety adjustment threshold is defined as the overflow adjustment amount. While the target edge-pulling machine component performs the action corresponding to the single-machine safety adjustment threshold, the overflow adjustment amount is distributed to the upstream and downstream adjacent auxiliary edge-pulling machine components in a decreasing proportion to generate auxiliary coordination instructions.

7. The method according to claim 3, characterized in that, During the execution of the temperature adjustment command, after adjusting the speed difference between the stretching speed and the glass flow rate in the stretching operation parameters according to the closeness between the actual temperature and the target temperature, until the actual temperature reaches the target, and then restoring the target edge-pulling machine assembly to a state of synchronous operation with the glass strip, the process further includes: After the new glass strip passes through the online thickness measuring device, the final residual thickness deviation of the new glass strip is determined. Determine whether the final residual thickness deviation still exceeds the allowable deviation range; If it exceeds the limit, it indicates that there is a model mismatch in the preset thickness correction-temperature change compensation mapping relationship; The model correction coefficient is calculated based on the ratio between the final residual thickness deviation and the initial thickness deviation. The preset thickness correction-temperature compensation mapping relationship is updated using the model correction coefficients.

8. A glass quality optimization system, characterized in that, The glass quality optimization system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code including computer instructions, and the one or more processors call the computer instructions to cause the glass quality optimization system to perform the method as described in any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that, When the instructions are executed on the glass quality optimization system, the glass quality optimization system performs the method as described in any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is run on the glass quality optimization system, the glass quality optimization system performs the method as described in any one of claims 1-7.

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