Control system and method for float glass production

Abstract

The invention relates to the technical field of industrial management, in particular to a control system and method for float glass production, and the system comprises a raw material batching control module, a smelting process control module, a forming and cooling control module, a cutting and fragmenting module, a quality detection module, a data recording and analyzing module and a man-machine interaction module. Compared with the defects of complicated operation, insufficient proportioning precision and difficulty in accurate evaluation of mixing uniformity in the raw material proportioning process in the prior art, the scheme adopts the optimized raw material proportioning control module, and the module receives and reads production plan and formula data through the man-machine interaction module, accurately weighs various raw materials, and accurately evaluates the mixing uniformity. The raw materials are fully mixed in sequence through the premixing machine and the mixing machine, the density of each sample is subjected to spot check, and the mixing uniformity is calculated according to a specific formula, so that the raw material proportioning accuracy and the mixing uniformity are effectively improved, the high-quality preparation of the float glass production raw materials is ensured, and the production efficiency and the product quality are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial management, and in particular to a control system and method for float glass production. Background Art

[0002] In the float glass production process, the raw material batching process is crucial, which is directly related to the quality and production efficiency of the final glass product. However, the raw material batching process in the prior art has some significant deficiencies.

[0003] First, the operation process is relatively cumbersome. Traditional batching methods often require manual weighing, proportioning and mixing of raw materials, which not only increases the complexity of the operation, but is also easily affected by human factors, making it difficult to ensure the accuracy of the batching.

[0004] Secondly, the ratio accuracy is insufficient. Due to the limitations of manual operation, there is often a certain error in the ratio of raw materials, which not only affects the composition and performance of glass products, but also reduces the overall efficiency of the production line.

[0005] In addition, mixing uniformity is difficult to accurately assess. The uniformity of raw material mixing has a crucial impact on the quality of glass products, but the existing technology lacks effective means to accurately assess mixing uniformity, which increases the risk of product quality problems.

[0006] Therefore, in order to overcome the deficiencies of the raw material batching process in the prior art and improve the quality and efficiency of float glass production, it is necessary to develop a more accurate, efficient and reliable raw material batching control module and its corresponding control system and method. Summary of the invention

[0007] In order to overcome the problems mentioned in the above background technology, the present invention provides a control system and method for float glass production.

[0008] The technical solution of the present invention is: In one aspect, a control system for float glass production includes: The raw material batching control module is responsible for the precise proportioning and mixing of raw materials required for float glass production according to production requirements; A smelting process control module, used to monitor and control processing parameters in the melting furnace, wherein the processing parameters include the temperature and pressure in the melting furnace; Forming and cooling control module, used to control key parameters in the tin bath and annealing furnace, including temperature and atmosphere in the tin bath and annealing furnace; Cutting and slicing module, used to accurately cut and slice the glass ribbon according to production requirements; The quality inspection module is used to inspect the quality of the produced glass and conduct defect analysis, and then improve the production parameters according to the defect analysis results; Data recording and analysis module, responsible for recording and analyzing various data in the production process; The human-computer interaction module is used to provide a human-computer interaction interface, enabling operators to monitor production status, adjust production parameters and view alarm information in real time.

[0009] Preferably, the raw material batching control module includes an electronic scale, a quantitative water adding device, a premixer, a mixer and an automatic conveying system. The electronic scale is used to accurately weigh various glass production raw materials. The quantitative water adding device is used to add water to the raw materials in a quantitative manner according to the formula requirements to adjust the humidity and fluidity of the raw materials. The premixer is used to preliminarily mix the weighed raw materials. The mixer is used to fully mix the premixed raw materials.

[0010] Preferably, the raw material batching control module is responsible for the precise proportioning and mixing of raw materials required for float glass production according to production requirements, and includes the following steps: S11: receiving data, the operator enters the production plan and formula data through the human-computer interaction module, and the raw material batching control module receives and reads the entered data; S12: weighing raw materials, calculating the required amount of each raw material by reading the production plan and formula data, and weighing each raw material; S13: Raw material mixing, the weighed raw materials are first sent to a pre-mixer for preliminary mixing, and then sent to a mixer for mixing; S14: Raw material sampling: sampling the mixed raw materials, sampling the density of each part of the mixture, and calculating whether the raw materials are mixed evenly.

[0011] Preferably, the raw material batching control module performs random inspection on the mixed raw materials, checks the density of each part of the mixture, and calculates whether the raw materials are mixed evenly. The principle formula for calculating whether the raw materials are mixed evenly is: ; Where n is the number of samples, is the density of the ith sample, is the set threshold, is the theoretical density of the mixture, where , where m is the number of raw material types, is the volume fraction of the pth raw material, is the density of the pth raw material.

[0012] Preferably, the smelting process control module includes the following steps when monitoring and controlling the processing parameters in the melting furnace: S21: Start the melting furnace and adjust the temperature and atmosphere in the furnace to predetermined values; S22: feeding the prepared glass raw materials into a melting furnace for melting, while monitoring the temperature and atmosphere changes in the melting furnace; S23: By adjusting the heating power and atmosphere control device of the melting furnace, it is ensured that the glass raw materials are fully melted and form a uniform glass liquid, wherein the principle formula of the adjustment algorithm used is: ; in, To control the output, is the deviation at the current moment, Proportional gain determines the strength of the control effect. is the integral gain, used to eliminate static error, is the differential gain; S24: Monitor the quality of molten glass and the stability of the melting process in the furnace in real time, and adjust production parameters in time to deal with abnormal situations.

[0013] Preferably, the cutting and slicing module includes the following steps when accurately cutting and slicing the glass ribbon according to production requirements: S31: Cutting parameter setting: setting cutting parameters according to the production plan and recipe data, wherein the cutting parameters include cutting length, width, thickness and cutting speed; S32: Positioning and conveying of glass ribbon, real-time monitoring of the moving speed and position of the glass ribbon through sensors and control systems; S33: Cutting execution, starting the cutting equipment, cutting according to the set parameters, and detecting the cutting quality and progress in real time; S34: Slicing and stacking. After the cutting is completed, the cut glass sheets are separated by a slicing device. The separated glass sheets are sent to a stacking device and stacked according to a set order and quantity.

[0014] Preferably, the quality inspection module includes a high-definition camera, a laser transmitter, a gloss meter and a laser rangefinder. The high-definition camera is used to capture images of the glass, the laser transmitter is used to emit a set laser grid on the glass surface, the gloss meter is used to measure the gloss of the glass, and the laser rangefinder is used to measure the size of the glass.

[0015] Preferably, the quality inspection module includes the following steps when inspecting the quality of the produced glass, performing defect analysis, and improving the production parameters according to the defect analysis results: S41: Collect glass quality indicators through high-definition cameras, laser transmitters, gloss meters and laser rangefinders; S42: Compare and analyze the test data with the preset quality standard to determine whether the glass quality is qualified, and extract specific defect data; S43: Collect statistics on defect data of the same batch of products, analyze the defect data, identify shortcomings of the glass formula, and adjust the glass formula parameters.

[0016] Preferably, when the quality detection module detects the quality of the glass through a high-definition camera and a laser transmitter, the quality detection module includes the following steps: S51: using a laser rangefinder to measure the position of the glass, and when it is detected that the glass reaches a specified position, using a laser transmitter to emit a specific laser grid on the glass surface; S52: using a high-definition camera to collect images of the glass surface; S53: Processing and analyzing the collected images, identifying the degree of deformation of the laser grid image therein, and detecting the surface quality of the glass; S54: Turn off the laser rangefinder, further collect images of the glass, and process and analyze the collected images to identify defects inside the glass and defects in shape.

[0017] On the other hand, a control method for float glass production includes the following steps: S61: Raw material preparation, selecting raw materials, accurately measuring and proportioning the raw materials, and mixing the raw materials; S62: Melting, by adjusting the temperature and atmosphere of the melting furnace, the melting speed and quality of the glass are controlled, and during the melting process, bubbles and impurities in the glass are removed through physical and chemical effects; S63: Molding: After the glass liquid flows out of the melting furnace, it is molded through a tin bath, and the thickness, flatness and optical properties of the glass are controlled by adjusting the temperature of the tin bath, the thickness of the tin liquid and the flow rate of the glass liquid; S64: Cutting and processing: the formed glass sheet enters the annealing furnace to eliminate internal stress at a gradually decreasing temperature, and the annealed glass sheet undergoes cutting, edge grinding and cleaning processes; S65: Quality inspection and analysis: conduct quality inspection on the produced glass and conduct defect analysis, and then improve the production parameters based on the defect analysis results.

[0018] Beneficial effects of the present invention: 1. Compared with the shortcomings of the raw material batching process in the prior art, such as cumbersome operation, insufficient ratio accuracy and difficulty in accurately evaluating the mixing uniformity, this solution adopts an optimized raw material batching control module, which receives and reads the production plan and formula data through the human-computer interaction module, accurately weighs various raw materials, and mixes them fully in the pre-mixer and mixer in turn, and calculates the mixing uniformity by sampling the density of each sample and according to a specific formula, which effectively improves the accuracy of the raw material ratio and the mixing uniformity, ensures the high-quality preparation of raw materials for float glass production, and significantly improves production efficiency and product quality; 2. Compared with the shortcomings of the existing technology in the melting process control, such as response lag, inaccurate temperature and atmosphere control, and unstable glass liquid quality in the melting furnace, this solution adopts an optimized melting process control module. This module accurately starts the melting furnace and presets the initial conditions, monitors and adjusts the temperature and atmosphere in the melting furnace in real time, and uses advanced adjustment algorithms to ensure that the glass raw materials are fully melted and form uniform glass liquid. At the same time, it monitors the quality of glass liquid and the stability of the melting process in real time, responds to abnormal situations in a timely manner and adjusts production parameters, effectively improving the control accuracy and stability of the melting process, ensuring the high-quality output of glass liquid, and significantly improving the production efficiency and product quality of float glass; 3. Compared with traditional detection methods, this preferred solution realizes dual fine detection of glass surface and internal quality by combining laser ranging positioning, laser grid projection and high-definition camera technology. First, laser ranging ensures the accuracy of the detection position, laser grid helps to identify small surface deformations, and high-definition camera captures these detailed changes; then, further images are collected without laser interference to deeply analyze the internal structural defects and shape flaws of the glass. This process not only improves the detection accuracy and efficiency, but also ensures the comprehensive control of glass quality, providing a reliable basis for the immediate adjustment of production parameters. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 Shown is a schematic diagram of the structure of a control system for float glass production of the present invention; Figure 2 Shown is a schematic flow chart of the control method for float glass production of the present invention. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] See also Figure 1 The present invention provides an embodiment: a control system for float glass production, comprising: The raw material batching control module is responsible for the precise proportioning and mixing of raw materials required for float glass production according to production requirements; A smelting process control module, used to monitor and control processing parameters in the melting furnace, wherein the processing parameters include the temperature and pressure in the melting furnace; Forming and cooling control module, used to control key parameters in the tin bath and annealing furnace, including temperature and atmosphere in the tin bath and annealing furnace; Cutting and slicing module, used to accurately cut and slice the glass ribbon according to production requirements; The quality inspection module is used to inspect the quality of the produced glass and conduct defect analysis, and then improve the production parameters according to the defect analysis results; Data recording and analysis module, responsible for recording and analyzing various data in the production process; The human-computer interaction module is used to provide a human-computer interaction interface, enabling operators to monitor production status, adjust production parameters and view alarm information in real time.

[0022] As mentioned above, the control system for float glass production realizes precise control, real-time monitoring and intelligent management of the production process by integrating modules such as raw material batching, melting process, forming and cooling, cutting and slicing, quality inspection, data recording and analysis, and human-computer interaction. It effectively improves the quality stability of glass products and optimizes production efficiency. At the same time, it facilitates operators to flexibly adjust parameters and respond to production abnormalities in a timely manner, significantly enhancing the flexibility and automation level of production management.

[0023] Preferably, the raw material batching control module includes an electronic scale, a quantitative water adding device, a premixer, a mixer and an automatic conveying system. The electronic scale is used to accurately weigh various glass production raw materials. The quantitative water adding device is used to add water to the raw materials in a quantitative manner according to the formula requirements to adjust the humidity and fluidity of the raw materials. The premixer is used to preliminarily mix the weighed raw materials. The mixer is used to fully mix the premixed raw materials.

[0024] As mentioned above, the raw material batching control module realizes the precise measurement, humidity adjustment, preliminary premixing and full mixing of glass production raw materials by integrating electronic scales, quantitative water adding devices, premixers, mixers and automatic conveying systems, effectively ensuring the accuracy of raw material proportions and mixing uniformity, and laying a solid foundation for the high-quality production of float glass.

[0025] Preferably, the raw material batching control module is responsible for the precise proportioning and mixing of raw materials required for float glass production according to production requirements, and includes the following steps: S11: receiving data, the operator enters the production plan and formula data through the human-computer interaction module, and the raw material batching control module receives and reads the entered data; S12: weighing raw materials, calculating the required amount of each raw material by reading the production plan and formula data, and weighing each raw material; S13: Raw material mixing, the weighed raw materials are first sent to a pre-mixer for preliminary mixing, and then sent to a mixer for mixing; S14: Raw material sampling: sampling the mixed raw materials, sampling the density of each part of the mixture, and calculating whether the raw materials are mixed evenly.

[0026] Preferably, the raw material batching control module performs random inspection on the mixed raw materials, checks the density of each part of the mixture, and calculates whether the raw materials are mixed evenly. The principle formula for calculating whether the raw materials are mixed evenly is: ; Where n is the number of samples, is the density of the ith sample, is the set threshold, is the theoretical density of the mixture, where , where m is the number of raw material types, is the volume fraction of the pth raw material, is the density of the pth raw material.

[0027] As described above, compared with the shortcomings of the raw material batching process in the prior art, such as cumbersome operation, insufficient proportioning accuracy and difficulty in accurately evaluating mixing uniformity, the present solution adopts an optimized raw material batching control module, which receives and reads the production plan and formula data through the human-computer interaction module, accurately weighs various raw materials, and mixes them fully in turn through the premixer and mixer, and calculates the mixing uniformity by spot checking the density of each sample and according to a specific formula, thereby effectively improving the accuracy of the raw material proportion and the mixing uniformity, ensuring the high-quality preparation of raw materials for float glass production, and significantly improving production efficiency and product quality.

[0028] Preferably, the smelting process control module includes the following steps when monitoring and controlling the processing parameters in the melting furnace: S21: Start the melting furnace and adjust the temperature and atmosphere in the furnace to predetermined values; S22: feeding the prepared glass raw materials into a melting furnace for melting, while monitoring the temperature and atmosphere changes in the melting furnace; S23: By adjusting the heating power and atmosphere control device of the melting furnace, it is ensured that the glass raw materials are fully melted and form a uniform glass liquid, wherein the principle formula of the adjustment algorithm used is: ; in, To control the output, is the deviation at the current moment, Proportional gain determines the strength of the control effect. is the integral gain, used to eliminate static error, is the differential gain; S24: Monitor the quality of molten glass and the stability of the melting process in the furnace in real time, and adjust production parameters in time to deal with abnormal situations.

[0029] As described above, compared with the shortcomings of the prior art in the control of the melting process, such as response lag, inaccurate temperature and atmosphere control, and unstable quality of the glass liquid in the melting furnace, the present solution adopts an optimized melting process control module. The module accurately starts the melting furnace and presets the initial conditions, monitors and adjusts the temperature and atmosphere in the melting furnace in real time, and uses advanced adjustment algorithms to ensure that the glass raw materials are fully melted and form uniform glass liquid. At the same time, it monitors the quality of the glass liquid and the stability of the melting process in real time, responds to abnormal situations in a timely manner and adjusts the production parameters, effectively improving the control accuracy and stability of the melting process, ensuring the high-quality output of the glass liquid, and significantly improving the production efficiency and product quality of float glass.

[0030] Preferably, the cutting and slicing module includes the following steps when accurately cutting and slicing the glass ribbon according to production requirements: S31: Cutting parameter setting: setting cutting parameters according to the production plan and recipe data, wherein the cutting parameters include cutting length, width, thickness and cutting speed; S32: Positioning and conveying of glass ribbon, real-time monitoring of the moving speed and position of the glass ribbon through sensors and control systems; S33: Cutting execution, starting the cutting equipment, cutting according to the set parameters, and detecting the cutting quality and progress in real time; S34: Slicing and stacking. After the cutting is completed, the cut glass sheets are separated by a slicing device. The separated glass sheets are sent to a stacking device and stacked according to a set order and quantity.

[0031] As mentioned above, compared with the shortcomings of traditional cutting and slicing methods, such as inflexible parameter setting, low cutting accuracy, inaccurate glass ribbon positioning, and low efficiency in slicing and stacking, this solution adopts a highly automated cutting and slicing module. By accurately setting cutting parameters, real-time monitoring of the position and speed of the glass ribbon, precise execution of cutting operations, and efficient slicing and stacking, it significantly improves the cutting accuracy and efficiency, ensures the quality consistency of the glass sheets, optimizes the stacking process, and improves the overall operating efficiency and flexibility of the production line.

[0032] Preferably, the quality inspection module includes a high-definition camera, a laser transmitter, a gloss meter and a laser rangefinder. The high-definition camera is used to capture images of the glass, the laser transmitter is used to emit a set laser grid on the glass surface, the gloss meter is used to measure the gloss of the glass, and the laser rangefinder is used to measure the size of the glass.

[0033] Preferably, the quality inspection module includes the following steps when inspecting the quality of the produced glass, performing defect analysis, and improving the production parameters according to the defect analysis results: S41: Collect glass quality indicators through high-definition cameras, laser transmitters, gloss meters and laser rangefinders; S42: Compare and analyze the test data with the preset quality standard to determine whether the glass quality is qualified, and extract specific defect data; S43: Collect statistics on defect data of the same batch of products, analyze the defect data, identify shortcomings of the glass formula, and adjust the glass formula parameters.

[0034] As mentioned above, compared with the shortcomings of traditional quality inspection methods, such as incomplete inspection, inaccurate defect identification and delayed adjustment of production parameters, this solution adopts an advanced quality inspection module that integrates high-definition camera, laser grid projection, gloss measurement and laser ranging. By comprehensively collecting glass quality indicators, accurately comparing and analyzing defect data and quickly providing feedback to adjust formula parameters, it achieves refined management of glass quality and instant optimization of production parameters, effectively improving the qualification rate of glass products and the overall quality control capability of the production line.

[0035] Preferably, when the quality detection module detects the quality of the glass through a high-definition camera and a laser transmitter, the quality detection module includes the following steps: S51: using a laser rangefinder to measure the position of the glass, and when it is detected that the glass reaches a specified position, using a laser transmitter to emit a specific laser grid on the glass surface; S52: using a high-definition camera to collect images of the glass surface; S53: Processing and analyzing the collected images, identifying the degree of deformation of the laser grid image therein, and detecting the surface quality of the glass; S54: Turn off the laser rangefinder, further collect images of the glass, and process and analyze the collected images to identify defects inside the glass and defects in shape.

[0036] As mentioned above, compared with traditional detection methods, this preferred solution achieves dual fine detection of glass surface and internal quality by combining laser ranging positioning, laser grid projection and high-definition camera technology. First, laser ranging ensures the accuracy of the detection position, laser grid helps to identify small surface deformations, and high-definition camera captures these detailed changes; then, further images are collected without laser interference to deeply analyze the internal structural defects and shape flaws of the glass. This process not only improves the detection accuracy and efficiency, but also ensures comprehensive control of glass quality, providing a reliable basis for the immediate adjustment of production parameters.

[0037] See also Figure 2 The present invention provides an embodiment: a control method for float glass production, comprising the following steps: S61: Raw material preparation, selecting raw materials, accurately measuring and proportioning the raw materials, and mixing the raw materials; S62: Melting, by adjusting the temperature and atmosphere of the melting furnace, the melting speed and quality of the glass are controlled, and during the melting process, bubbles and impurities in the glass are removed through physical and chemical effects; S63: Molding: After the glass liquid flows out of the melting furnace, it is molded through a tin bath, and the thickness, flatness and optical properties of the glass are controlled by adjusting the temperature of the tin bath, the thickness of the tin liquid and the flow rate of the glass liquid; S64: Cutting and processing: the formed glass sheet enters the annealing furnace to eliminate internal stress at a gradually decreasing temperature, and the annealed glass sheet undergoes cutting, edge grinding and cleaning processes; S65: Quality inspection and analysis: conduct quality inspection on the produced glass and conduct defect analysis, and then improve the production parameters based on the defect analysis results.

[0038] As described above, the float glass production control method ensures that every link of glass production can meet high quality standards through precise raw material preparation, meticulous melting control, precise molding control, systematic cutting process and strict quality inspection and analysis. This method not only improves the melting speed and quality of glass, optimizes the thickness, flatness and optical properties during the molding process, but also effectively eliminates internal stress, and through fine post-processing and strict quality inspection, timely discovery and parameter adjustment of glass product defects are achieved, thereby significantly improving the production efficiency and product quality of float glass.

[0039] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. A control system for float glass production, characterized in that: Included are: The raw material batching control module is responsible for the precise proportioning and mixing of raw materials required for float glass production according to production requirements; A smelting process control module, used to monitor and control processing parameters in the melting furnace, wherein the processing parameters include the temperature and pressure in the melting furnace; Forming and cooling control module, used to control key parameters in the tin bath and annealing furnace, including temperature and atmosphere in the tin bath and annealing furnace; Cutting and slicing module, used to accurately cut and slice the glass ribbon according to production requirements; The quality inspection module is used to inspect the quality of the produced glass and conduct defect analysis, and then improve the production parameters according to the defect analysis results; Data recording and analysis module, responsible for recording and analyzing various data in the production process; The human-computer interaction module is used to provide a human-computer interaction interface, enabling operators to monitor production status, adjust production parameters and view alarm information in real time.

2. A control system for float glass production according to claim 1, characterized in that: The raw material batching control module includes an electronic scale, a quantitative water adding device, a premixer, a mixer and an automatic conveying system. The electronic scale is used to accurately weigh various glass production raw materials. The quantitative water adding device is used to add water to the raw materials in a quantitative manner according to the formula requirements to adjust the humidity and fluidity of the raw materials. The premixer is used to preliminarily mix the weighed raw materials, and the mixer is used to fully mix the premixed raw materials.

3. A control system for float glass production according to claim 2, characterized in that: The raw material batching control module is responsible for the precise proportioning and mixing of raw materials required for float glass production according to production requirements, including the following steps: S11: receiving data, the operator enters the production plan and formula data through the human-computer interaction module, and the raw material batching control module receives and reads the entered data; S12: weighing raw materials, calculating the required amount of each raw material by reading the production plan and formula data, and weighing each raw material; S13: Raw material mixing, the weighed raw materials are first sent to a pre-mixer for preliminary mixing, and then sent to a mixer for mixing; S14: Raw material sampling: sampling the mixed raw materials, sampling the density of each part of the mixture, and calculating whether the raw materials are mixed evenly.

4. A control system for float glass production according to claim 3, characterized in that: The raw material batching control module performs random inspections on the mixed raw materials, checks the density of each part of the mixture, and calculates whether the raw materials are mixed evenly. The principle formula for calculating whether the raw materials are mixed evenly is: ； Where n is the number of samples, is the density of the ith sample, is the set threshold, is the theoretical density of the mixture, where , where m is the number of raw material types, is the volume fraction of the pth raw material, is the density of the pth raw material.

5. A control system for float glass production according to claim 4, characterized in that: The smelting process control module includes the following steps when monitoring and controlling the processing parameters in the melting furnace: S21: Start the melting furnace and adjust the temperature and atmosphere in the furnace to predetermined values; S22: feeding the prepared glass raw materials into a melting furnace for melting, while monitoring the temperature and atmosphere changes in the melting furnace; S23: By adjusting the heating power and atmosphere control device of the melting furnace, it is ensured that the glass raw materials are fully melted and form a uniform glass liquid, wherein the principle formula of the adjustment algorithm used is: ; in, To control the output, is the deviation at the current moment, Proportional gain determines the strength of the control effect. is the integral gain, used to eliminate static error, is the differential gain; S24: Monitor the glass liquid quality and melting process stability in the melting furnace in real time, and adjust production parameters in time to deal with abnormal situations.

6. A control system for float glass production according to claim 5, characterized in that: The cutting and slicing module includes the following steps when accurately cutting and slicing the glass ribbon according to production requirements: S31: Cutting parameter setting: setting cutting parameters according to the production plan and recipe data, wherein the cutting parameters include cutting length, width, thickness and cutting speed; S32: Positioning and conveying of glass ribbon, real-time monitoring of the moving speed and position of the glass ribbon through sensors and control systems; S33: Cutting execution, starting the cutting equipment, cutting according to the set parameters, and detecting the cutting quality and progress in real time; S34: Slicing and stacking. After the cutting is completed, the cut glass sheets are separated by a slicing device. The separated glass sheets are sent to a stacking device and stacked according to a set order and quantity.

7. A control system for float glass production according to claim 6, characterized in that: The quality inspection module includes a high-definition camera, a laser transmitter, a gloss meter and a laser rangefinder. The high-definition camera is used to capture images of the glass, the laser transmitter is used to emit a set laser grid on the glass surface, the gloss meter is used to measure the gloss of the glass, and the laser rangefinder is used to measure the size of the glass.

8. A control system for float glass production according to claim 7, characterized in that: The quality inspection module performs quality inspection on the produced glass, conducts defect analysis, and then improves the production parameters based on the defect analysis results, including the following steps: S41: Collect glass quality indicators through high-definition cameras, laser transmitters, gloss meters and laser rangefinders; S42: Compare and analyze the test data with the preset quality standard to determine whether the glass quality is qualified, and extract specific defect data; S43: Collect statistics on defect data of the same batch of products, analyze the defect data, identify shortcomings of the glass formula, and adjust the glass formula parameters.

9. A control system for float glass production according to claim 8, characterized in that: The quality inspection module uses a high-definition camera and a laser transmitter to inspect the quality of the glass, including the following steps: S51: using a laser rangefinder to measure the position of the glass, and when it is detected that the glass reaches a specified position, using a laser transmitter to emit a laser grid on the surface of the glass; S52: using a high-definition camera to collect images of the glass surface; S53: Processing and analyzing the collected images, identifying the degree of deformation of the laser grid image therein, and detecting the surface quality of the glass; S54: Turn off the laser rangefinder, further collect images of the glass, and process and analyze the collected images to identify defects inside the glass and defects in shape.

10. A control method for float glass production, characterized in that: The following steps are included: S61: Raw material preparation, selecting raw materials, accurately measuring and proportioning the raw materials, and mixing the raw materials; S62: Melting, by adjusting the temperature and atmosphere of the melting furnace, the melting speed and quality of the glass are controlled, and during the melting process, bubbles and impurities in the glass are removed through physical and chemical effects; S63: Molding: After the glass liquid flows out of the melting furnace, it is molded through a tin bath, and the thickness, flatness and optical properties of the glass are controlled by adjusting the temperature of the tin bath, the thickness of the tin liquid and the flow rate of the glass liquid; S64: Cutting and processing: the formed glass sheet enters the annealing furnace to eliminate internal stress at a gradually decreasing temperature, and the annealed glass sheet undergoes cutting, edge grinding and cleaning processes; S65: Quality inspection and analysis: conduct quality inspection on the produced glass and conduct defect analysis, and then improve the production parameters based on the defect analysis results.

Images