Temperature gradient control method, device, equipment and medium for tempering heating section of colored glaze glass

Abstract

The present application provides a method, device, equipment and medium for controlling the temperature gradient of a tempered heating section of colored glaze glass. The method belongs to the field of electrical digital data processing and is used to control a preset tempering furnace; the method comprises: obtaining the colored glaze glass to be heated: measuring the glass parameters, color powder parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass respectively; obtaining the target information of the colored glaze glass to be tempered after tempering; the target information comprises the target flatness and the target glaze maturity; generating the production information corresponding to the colored glaze glass according to the glass parameters, color powder parameters, glass powder parameters and screen parameters; generating the control information corresponding to the tempering furnace according to the production information and the target information; the control information comprises the preheating control parameters, the heating control parameters and the equalizing control parameters; controlling the tempering furnace according to the preheating control parameters, the heating control parameters and the equalizing control parameters in turn to realize the temperature gradient control of the tempered heating section of the colored glaze glass.

Description

Technical Field

[0001] The invention relates to the technical field of temperature control, and in particular to a method, device, equipment and medium for controlling the temperature gradient of a tempered heating section of colored glaze glass. Background Art

[0002] Colored glaze glass is a highly decorative and functional glass material that is formed by coating glaze on the glass surface and undergoing high-temperature tempering. In recent years, colored glaze glass has been widely used in the field of building integrated photovoltaics (BIPV), especially in the exterior walls, skylights and curtain walls of high-end buildings. Since colored glaze glass not only has beautiful visual effects, but also can meet certain architectural functional requirements, such as sunshade, heat insulation and photovoltaic power generation, its market demand is growing.

[0003] However, there are some technical difficulties in the production process of colored glaze glass, especially in the tempering process. Glazes can be divided into high-temperature glazes and low-temperature glazes according to their sintering temperature. High-temperature glazes are more suitable for use in the field of photovoltaic building integration due to their excellent weather resistance and mechanical properties. At present, the following problems are prone to occur during high-temperature tempering:

[0004] 1. Glass warping and roller ripples: During the heating process of the tempering furnace, if the glass is heated too much or for too long, or the heating of different areas on the glass surface is uneven, it is easy to cause the glass to deform, produce warping, irregular arches and roller ripples. These problems not only affect the appearance quality of the colored glaze glass, but also reduce its mechanical strength and performance.

[0005] 2. The glaze is not fully sintered: If the tempering temperature is insufficient, the glaze cannot be fully sintered, resulting in poor weather resistance and possible color difference. This will not only affect the aesthetics of the colored glaze glass, but also reduce its long-term stability and functionality.

[0006] In order to solve the above problems, the existing glazed glass tempering technology usually adopts a single heating temperature and time setting, but this method is difficult to take into account the temperature distribution of different parts of the glass and the sintering requirements of the glaze. Therefore, a temperature gradient control method for the heating section of glazed glass tempering is urgently needed to solve at least one of the above problems. Summary of the invention

[0007] The present application provides a method, device, equipment and medium for controlling the temperature gradient of the tempered heating section of colored glaze glass, aiming to solve the following problems that are prone to occur during the current high-temperature tempering process: 1. Glass warping and roller corrugation: During the heating process of the tempering furnace, if the glass is heated too much or for too long, or different areas on the surface of the glass are heated unevenly, it is easy to cause the glass to deform, resulting in warping, irregular arches and roller corrugations. These problems not only affect the appearance quality of the colored glaze glass, but also reduce its mechanical strength and performance. 2. The glaze is not fully sintered: If the tempering temperature is insufficient, the glaze cannot be fully sintered, resulting in poor weather resistance and possible color difference. This will not only affect the aesthetics of the colored glaze glass, but also reduce its long-term stability and functionality.

[0008] In a first aspect, the present application provides a method for controlling the temperature gradient of a tempered heating section of a colored glaze glass, which is used to control a preset tempering furnace; the method comprises:

[0009] Obtaining colored enamel glass to be heated;

[0010] Measure the glass parameters, color powder parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass respectively;

[0011] Obtaining target information of the tempered colored glaze glass to be tempered; the target information includes target flatness and target glaze maturity;

[0012] Generate production information corresponding to colored glaze glass according to glass parameters, color powder parameters, glass powder parameters and screen parameters;

[0013] Generate control information corresponding to the tempering furnace according to the production information and the target information; the control information includes preheating control parameters, heating control parameters and soaking control parameters;

[0014] The tempering furnace is controlled in turn according to the preheating control parameters, the heating control parameters and the soaking control parameters to realize the temperature gradient control of the tempering heating section of the colored glaze glass.

[0015] In a second aspect, the present application provides a temperature gradient control device for a tempered heating section of a colored glaze glass, which is used to control a preset tempering furnace; the device comprises:

[0016] A glass obtaining unit, used for obtaining colored glaze glass to be heated;

[0017] Parameter measurement unit, used to measure glass parameters, color powder parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass;

[0018] An information acquisition unit is used to acquire target information of the colored glaze glass to be tempered after tempering; the target information includes target flatness and target glaze maturity;

[0019] An information generating unit, used for generating production information corresponding to the colored glaze glass according to glass parameters, color powder parameters, glass powder parameters and screen parameters;

[0020] A parameter generation unit, used to generate control information corresponding to the tempering furnace according to the production information and the target information; the control information includes preheating control parameters, heating control parameters and soaking control parameters;

[0021] The control completion unit is used to control the tempering furnace according to the preheating control parameters, the heating control parameters and the soaking control parameters in turn to achieve the temperature gradient control of the tempering heating section of the colored glaze glass.

[0022] In a third aspect, the present application further provides a computer device, including:

[0023] Memory and processor;

[0024] The memory is used to store computer programs;

[0025] The processor is used to execute the computer program and implement the steps of the temperature gradient control method of the tempered heating section of the colored glaze glass as described in the first aspect above when executing the computer program.

[0026] In a fourth aspect, the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the steps of the temperature gradient control method of the tempered heating section of the colored glaze glass as described in the first aspect above.

[0027] The embodiment of the present application provides a method, device, equipment and medium for controlling the temperature gradient of the tempered heating section of colored glaze glass, which is mainly aimed at the problems of glass warping, roller corrugation and insufficient sintering of glaze that are easy to occur during the high-temperature tempering process of colored glaze glass. The method accurately controls the temperature gradient of the tempering furnace at each heating stage to ensure that the temperature difference between the inside and outside of the glass is moderate during the heating process, and the glaze can be fully sintered, thereby improving the flatness, mechanical strength and weather resistance of the colored glaze glass.

[0028] Measure the glass parameters (such as thickness, material, etc.) corresponding to the colored glaze glass. Parameters of color powder (such as chemical composition, particle size, etc.). Parameters of glass powder (such as melting point, thermal expansion coefficient, etc.). Measure the screen parameters (such as mesh size, screen material, film thickness, etc.) corresponding to the screen. Determine the target flatness and target glaze maturity of the colored glaze glass after tempering. Generate the production information of the colored glaze glass based on the measured parameters. Generate the control information of the tempering furnace based on the production information and target information, including preheating control parameters, heating control parameters and soaking control parameters. Control the tempering furnace according to the preheating control parameters, heating control parameters and soaking control parameters in turn to achieve the temperature gradient control of the tempering heating section of the colored glaze glass.

[0029] The method provided thereby has at least the following beneficial effects:

[0030] 1. Improve the flatness of the glass: By precisely controlling the temperature gradient in the preheating, heating and soaking stages, the temperature difference between the inside and outside of the glass during the heating process is reduced, thereby effectively preventing the glass from warping and roller ripples and improving the flatness of the glass.

[0031] 2. Ensure that the glaze is fully sintered: By optimizing the heating control parameters, ensure that the glaze can be fully sintered at high temperature, improve the weather resistance and stability of the glaze, avoid the occurrence of color difference, and enhance the beauty and functionality of the colored glaze glass.

[0032] 3. Improve product quality: This method effectively solves common quality problems in the tempering process, improves the mechanical strength and performance of colored glaze glass, and ensures that the product meets high standards.

[0033] 4. Save energy: Through precise temperature gradient control, reduce unnecessary energy consumption, improve energy efficiency of the tempering process, and reduce production costs.

[0034] 5. Improve production efficiency: Optimized heating parameters and temperature gradient control methods can shorten the tempering time, improve production efficiency and meet the needs of large-scale production.

[0035] 6. Adapt to a variety of products: This method can generate corresponding control parameters according to different colored glaze glass parameters and target information, and is suitable for colored glaze glass of different thickness, material and design, with high flexibility and adaptability.

[0036] In summary, this method effectively solves the common problems of colored glaze glass in the tempering process through precise temperature gradient control, improves product quality and production efficiency, and has significant practical value. It should be understood that the above general description and the detailed description below are only exemplary and explanatory and cannot limit this application.

[0037] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1This is a schematic flow chart of the steps of a method for controlling the temperature gradient of a tempered heating section of colored glaze glass provided in one embodiment of the present application;

[0040] Figure 2 It is a schematic diagram of a preheating temperature training result of a neural network model provided in one embodiment of the present application;

[0041] Figure 3 It is a schematic diagram of a warm-up time training result of a neural network model provided in one embodiment of the present application;

[0042] Figure 4 It is a schematic diagram of a heating temperature training result of a neural network model provided in one embodiment of the present application;

[0043] Figure 5 It is a schematic diagram of a heating time training result of a neural network model provided in one embodiment of the present application;

[0044] Figure 6 It is a schematic diagram of a heat averaging temperature training result of a neural network model provided in one embodiment of the present application;

[0045] Figure 7 It is a schematic diagram of a soaking time training result of a neural network model provided in one embodiment of the present application;

[0046] Figure 8 It is a structural schematic diagram of a temperature gradient control device for a tempered heating section of colored glaze glass provided in an embodiment of the present application;

[0047] Fig. 9 It is a schematic block diagram of the structure of a computer device provided in one embodiment of the present application.

[0048] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0050] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0051] It should be understood that, in order to facilitate the clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.

[0052] It should be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the application. As used in this application specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0053] It should also be understood that the term “and / or” used in the specification and appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0054] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0055] Colored glaze glass is a highly decorative and functional glass material that is formed by coating glaze on the glass surface and undergoing high-temperature tempering. In recent years, colored glaze glass has been widely used in the field of building integrated photovoltaics (BIPV), especially in the exterior walls, skylights and curtain walls of high-end buildings. Since colored glaze glass not only has beautiful visual effects, but also can meet certain architectural functional requirements, such as sunshade, heat insulation and photovoltaic power generation, its market demand is growing.

[0056] However, there are some technical difficulties in the production process of colored glaze glass, especially in the tempering process. Glazes can be divided into high-temperature glazes and low-temperature glazes according to their sintering temperature. High-temperature glazes are more suitable for use in the field of photovoltaic building integration due to their excellent weather resistance and mechanical properties. At present, the following problems are prone to occur during high-temperature tempering:

[0057] 1. Glass warping and roller ripples: During the heating process of the tempering furnace, if the glass is heated too much or for too long, or the heating of different areas on the glass surface is uneven, it is easy to cause the glass to deform, produce warping, irregular arches and roller ripples. These problems not only affect the appearance quality of the colored glaze glass, but also reduce its mechanical strength and performance.

[0058] 2. The glaze is not fully sintered: If the tempering temperature is insufficient, the glaze cannot be fully sintered, resulting in poor weather resistance and possible color difference. This will not only affect the aesthetics of the colored glaze glass, but also reduce its long-term stability and functionality.

[0059] In order to solve the above problems, the existing glazed glass tempering technology usually adopts a single heating temperature and time setting, but this method is difficult to take into account the temperature distribution of different parts of the glass and the sintering requirements of the glaze. Therefore, a temperature gradient control method for the heating section of glazed glass tempering is urgently needed to solve at least one of the above problems.

[0060] To solve the above problems, please refer to Figure 1 , Figure 1 The present invention is a schematic flow chart of a method for controlling the temperature gradient of a tempered heating section of a colored glaze glass provided in an embodiment of the present invention. The method is used to control a preset tempering furnace. The method for controlling the temperature gradient of a tempered heating section of a colored glaze glass can be implemented by a computer device, which can be deployed on a single server or a server cluster. It can also be deployed on a handheld terminal, a laptop computer, a wearable device, or a robot, etc.

[0061] To solve the above problems, please refer to Figure 1 Specifically, Figure 1 As shown, the provided method for controlling the temperature gradient of the tempered heating section of the colored glaze glass includes steps S101 to S106. The details are as follows:

[0062] Step S101: Obtain colored glaze glass to be heated.

[0063] Specifically, in this step, the enameled glass to be heated needs to be prepared, and the size, shape, thickness, distribution of color powder and glass powder on the surface, and the type of screen used need to be recorded. By clarifying the specific composition of the enameled glass, the accuracy of subsequent measurement and control is ensured. The accurate acquisition of basic data provides a reliable foundation for the optimization of the entire tempering process.

[0064] For example, colored glaze glass: a piece of colored glaze glass with a size of 1200mm × 1800mm, a thickness of 6mm, and a rectangular shape. Toner: The toner is distributed on one side of the glass, the color is blue, and the main component is cobalt oxide (CoO). Glass powder: The glass powder is distributed on the toner, the particle size is 10-50μm, and the main component is silicate (SiO2). Screen: A stainless steel screen is used, with a thickness of 0.5mm and good thermal conductivity.

[0065] Step S102: respectively measuring glass parameters, color powder parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass.

[0066] Specifically, glass parameters include glass thickness, composition, initial temperature, thermal expansion coefficient, thermal conductivity coefficient, etc. Color powder parameters include color powder particle size, proportion, chemical composition, sintering temperature range, volatility, etc. Glass powder parameters include glass powder particle size, proportion, main components, melting point, thermal expansion coefficient, thermal conductivity coefficient, etc. Screen parameters include screen material, thickness, thermal conductivity, temperature resistance, etc. Detailed measurement of each component can control the heating process more finely and reduce problems such as deformation and color difference. A detailed understanding of the characteristics of different materials enables the control method to adapt to different types of colored glaze glass.

[0067] For example, the glass parameters are thickness: 6mm, initial temperature: 20°C, thermal expansion coefficient: 9.0 × 10^-6 / °C, thermal conductivity: 1.0 W / m·K. The color powder parameters are particle size: 10-20μm, main component: cobalt oxide (CoO), sintering temperature range: 600-700°C, volatility: low. The glass powder parameters are particle size: 30-50μm, main component: silicate (SiO2), melting point: 1200°C, thermal expansion coefficient: 3.3 × 10^-6 / °C, thermal conductivity: 1.4 W / m·K. The screen parameters are material: stainless steel, thickness: 0.5mm, thermal conductivity: good, temperature resistance: 1000°C.

[0068] Step S103. Obtain target information of the tempered colored glaze glass to be tempered; the target information includes target flatness and target glaze maturity,

[0069] Specifically, the target performance indicators of tempered colored glaze glass are determined, including target flatness and target glaze maturity. Target flatness refers to the minimum warping and waviness that the glass should achieve after tempering; target glaze maturity refers to the sintering degree and stability that the glaze should achieve after tempering. Determining clear target information makes the entire control process more reliable and easier to achieve the expected results. By setting target parameters, it can be ensured that the tempered colored glaze glass achieves the required appearance quality and mechanical properties.

[0070] For example, the target flatness: after tempering, the warping of the glass should not exceed 0.5mm, and the waviness should not exceed 0.2mm. The target glaze maturity: after tempering, the glaze should be fully sintered, with a weather resistance of ≥1000 hours and a color difference of ≤0.5.

[0071] Step S104: Generate production information corresponding to the colored glaze glass according to the glass parameters, color powder parameters, glass powder parameters and screen parameters.

[0072] Specifically, the various parameters measured in step S102 are integrated to generate production information of colored glaze glass. This information includes the optimal heating time and temperature, cooling rate, furnace atmosphere, etc., to ensure that the target performance is achieved during the tempering process. The generation of production information is based on detailed measurement data, which provides a scientific basis for subsequent control parameters. By generating production information, the production process can be optimized and production efficiency and yield can be improved.

[0073] For example, the production information should at least include: optimal heating time: 10 minutes, optimal heating temperature: preheating stage: 400°C, heating stage: 600-700°C, soaking stage: 650°C, cooling rate: 200°C / min, furnace atmosphere: air (oxygen content is about 21%).

[0074] Step S105: Generate control information corresponding to the tempering furnace according to the production information and the target information; the control information includes preheating control parameters, heating control parameters and soaking control parameters.

[0075] Specifically, specific tempering furnace control parameters are generated by combining the target information in step S103 and the production information in step S104. These control parameters include preheating control parameters, heating control parameters, and soaking control parameters to ensure accurate control of temperature and time in each stage. The generated control parameters can achieve accurate control of the tempering furnace to avoid problems caused by overheating or overcooling. By optimizing the control parameters, the efficiency of the tempering process can be improved, and energy consumption and production time can be reduced.

[0076] Step S106: Control the tempering furnace according to the preheating control parameters, the heating control parameters and the soaking control parameters in sequence to achieve temperature gradient control of the tempering heating section of the colored glaze glass.

[0077] Specifically, according to the generated preheating control parameters, heating control parameters and soaking control parameters, the various heating sections of the tempering furnace are controlled in turn to achieve temperature gradient control of the colored glaze glass. Specifically, it includes: preheating stage: make the glass evenly heated, reduce the temperature gradient, and ensure that the temperature on the surface and inside of the glass is consistent. Heating stage: reach high temperature to fully sinter the glaze. Soaking stage: adjust the temperature in the furnace to make the temperature on the surface and inside of the glass more uniform, reduce the temperature difference, and avoid deformation. By controlling the temperature gradient, the problems of glass warping and roller corrugation can be effectively reduced, and the appearance quality of the product can be improved. The glaze is fully sintered, ensuring the weather resistance and long-term stability of the colored glaze glass and improving its performance. Through soaking control, the temperature on the surface and inside of the glass can be guaranteed to be uniform, further improving the quality of tempering.

[0078] In summary, this method of controlling the temperature gradient of the tempered heating section of colored glaze glass achieves precise control of the tempering process through detailed parameter measurement and target setting, combined with scientific production information generation and control parameter optimization. This not only improves the appearance quality and mechanical properties of colored glaze glass, but also reduces energy consumption and time in production, and improves production efficiency.

[0079] In some embodiments, the glass parameters include at least glass size and glass thickness; the toner parameters include at least toner ratio and toner color; the glass powder parameters include at least glass powder ratio; the screen parameters include at least screen mesh count; and the glass parameters, toner parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass are measured respectively, including: using a preset laser ranging device to measure the colored glaze glass to obtain the glass size and glass thickness; using a preset laser particle size classification device to measure the colored glaze glass to obtain the toner ratio and glass powder ratio; using a preset color difference device to measure the colored glaze glass to obtain the toner color; using a preset microscope to measure the colored glaze glass to obtain the screen mesh count.

[0080] The use of laser distance measuring equipment and laser particle size analysis equipment ensures high-precision measurement and reduces human errors. The color difference equipment can accurately measure the color of the toner to ensure that the color difference is within a controllable range. The microscope equipment can accurately measure the mesh count of the screen to ensure that the structure of the screen meets the requirements.

[0081] By using high-precision measuring equipment, various parameters of enameled glass are recorded in detail, and scientific production information and control parameters are formulated. This not only improves the accuracy and reliability of the tempering process, but also optimizes production efficiency and ensures the appearance quality and mechanical properties of the enameled glass after tempering.

[0082] In some embodiments, production information corresponding to colored glaze glass is generated according to glass parameters, color powder parameters, glass powder parameters and screen parameters, including: dividing glass parameters, color powder parameters, glass powder parameters and screen parameters into quantifiable parameters and non-quantifiable parameters; for non-quantifiable parameters, generating quantization rules for non-quantifiable parameters according to parameter types corresponding to the non-quantifiable parameters; completing quantization of non-quantifiable parameters according to the quantization rules; and generating production information according to the quantifiable parameters and the quantized non-quantifiable parameters.

[0083] Quantifiable parameters are parameters that can be directly expressed by numerical values, such as glass size, thickness, toner particle size, glass powder particle size, screen mesh, etc. Non-quantifiable parameters are parameters that cannot be directly expressed by numerical values, such as toner color, glass powder sintering degree, screen thermal conductivity, etc.

[0084] For non-quantifiable parameters, quantification rules are generated according to their corresponding parameter types. For example, color can be quantified by color difference value, sintering degree can be quantified by sintering time, and thermal conductivity can be quantified by thermal conductivity coefficient.

[0085] According to the generated quantification rules, the non-quantifiable parameters are converted into quantifiable parameters. For example, the color of the toner is measured by the color difference value through the color difference device, the sintering degree of the glass powder is expressed by the sintering time, and the thermal conductivity of the screen is measured by the thermal conductivity coefficient through the microscope device.

[0086] The quantifiable parameters and the quantified non-quantifiable parameters are combined to generate the production information of colored glaze glass, including the best heating time and temperature, cooling rate, furnace atmosphere, etc.

[0087] Such as quantifiable parameters: glass size: 1200mm × 1800mm, glass thickness: 6mm, color powder particle size: 10-20μm, color powder ratio: 10%, glass powder particle size: 30-50μm, glass powder ratio: 5%, screen mesh: 100 mesh,

[0088] Non-quantifiable parameters: Color of toner: blue, Sintering degree of glass powder: unsintered, Thermal conductivity of screen: good,

[0089] Generate quantitative rules: Toner color: Use color difference equipment to measure the color difference value. A color difference value of ≤0.5 indicates that the color meets the requirements. Glass powder sintering degree: quantified by sintering time. For example, sintering time ≥8 minutes indicates complete sintering. Screen thermal conductivity: Use microscopic equipment to measure thermal conductivity. Thermal conductivity ≥1.4 W / m·K indicates good thermal conductivity.

[0090] Quantify the unquantifiable parameters: Toner color: color difference value ≤ 0.5 Glass powder sintering degree: sintering time = 8 minutes Screen thermal conductivity: thermal conductivity = 1.4 W / m·K.

[0091] In some embodiments, before generating control information corresponding to the tempering furnace according to production information and target information, it also includes: obtaining a preset flatness comparison table and a glaze maturity comparison table; the flatness comparison table includes a preset flatness and a first mapping value corresponding to the preset flatness, and the glaze maturity comparison table includes a preset glaze maturity and a second mapping value corresponding to the preset glaze maturity; a first target mapping value corresponding to the target flatness in the target information in the flatness comparison table; a second target mapping value corresponding to the target glaze maturity in the target information in the flatness comparison table; wherein, if the higher the first mapping value in the flatness comparison table, the flatter the corresponding preset flatness, then the higher the second mapping value in the glaze maturity comparison table, the higher the corresponding preset glaze maturity.

[0092] The flatness comparison table includes the preset flatness and the first mapping value corresponding to the preset flatness. For example: Warp ≤ 0.5 mm, waviness ≤ 0.2 mm -> the first mapping value is 80. Warp ≤ 1.0 mm, waviness ≤ 0.5 mm -> the first mapping value is 60.

[0093] The glaze maturity comparison table includes the preset glaze maturity and the second mapping value corresponding to the preset glaze maturity. For example: weather resistance ≥ 1000 hours, color difference ≤ 0.5 -> the second mapping value is 90. Weather resistance ≥ 800 hours, color difference ≤ 1.0 -> the second mapping value is 70.

[0094] By introducing preset flatness comparison tables and glaze maturity comparison tables, the target flatness and glaze maturity are converted into specific mapping values, which improves the accuracy of target setting and the scientific nature of control strategies. This not only ensures product quality and performance consistency during the production process, but also simplifies the operating process, improves production efficiency, and reduces production risks. This systematic control method has a significant beneficial effect on the tempered production of colored glaze glass.

[0095] Exemplarily, the flatness comparison table and the glaze maturity comparison table can be combined as shown in Table 1.

[0096] Table 1

[0097]

[0098] In some embodiments, control information corresponding to the tempering furnace is generated according to production information and target information, including: inputting the production information and target information into a pre-trained neural network model, the neural network model parsing the production information and target information, and outputting control information; wherein the neural network model includes at least a first convolutional layer, a second convolutional layer, a pooling layer, and a fully connected layer connected in sequence, the structure of the convolution kernel of the first convolutional layer is the same as the convolution kernel structure of the second convolutional layer and the pooling size of the pooling layer, and the number of output channels of the first convolutional layer is less than the number of output channels of the second convolutional layer.

[0099] like Figures 2 to 7 As shown (where Figure 2 (a) is a schematic diagram of a comparison of the prediction results of the preheating temperature training set of a neural network model provided in one embodiment of the present application; Figure 2 (b) is a schematic diagram of a comparison of the prediction results of a preheating temperature test set of a neural network model provided in an embodiment of the present application; Figure 3 (a) is a schematic diagram showing a comparison of prediction results of a warm-up time training set of a neural network model provided in an embodiment of the present application; Figure 3 (b) is a schematic diagram of a comparison of prediction results of a warm-up time test set of a neural network model provided in an embodiment of the present application; Figure 4(a) is a schematic diagram of a comparison of prediction results of a heating temperature training set of a neural network model provided in an embodiment of the present application; Figure 4 (b) is a schematic diagram of a comparison of prediction results of a heating temperature test set of a neural network model provided in an embodiment of the present application; Figure 5 (a) is a schematic diagram showing the comparison of prediction results of a heating time training set of a neural network model provided in one embodiment of the present application; Figure 5 (b) is a schematic diagram of a comparison of prediction results of a heating time test set of a neural network model provided in an embodiment of the present application; Figure 6 (a) is a schematic diagram showing the comparison of prediction results of a training set of average heat temperature of a neural network model provided in an embodiment of the present application; Figure 6 (b) is a schematic diagram of a comparison of prediction results of a soaking temperature test set of a neural network model provided in an embodiment of the present application; Figure 7 (a) is a schematic diagram showing a comparison of prediction results of a soaking time training set of a neural network model provided in an embodiment of the present application; Figure 7 (b) is a schematic diagram of the comparison of the prediction results of the soaking time test set of a neural network model provided in one embodiment of the present application), and the temperature and time of each stage of preheating, heating and soaking are obtained through the neural network model. The use of the neural network model can more finely analyze the production information and target information and generate accurate control parameters. Through multi-layer convolution and pooling operations, the model can extract and process complex features to ensure the scientificity and accuracy of the control information.

[0100] The pre-trained neural network model can automatically parse input data and generate control information, reducing human intervention and errors and improving the automation level of the production process. The fully connected layer further processes features and generates specific control parameters, making the control strategy more intelligent and flexible.

[0101] The structural design of the convolutional layer and the pooling layer enables the model to efficiently process a large amount of input data. The first convolutional layer has a small number of output channels, while the second convolutional layer has a large number of output channels. This design helps to gradually extract and refine features. The control information generated by the neural network model can achieve precise control of each heating section of the tempering furnace, optimizing the entire production process.

[0102] Precise control information ensures more accurate temperature and time control at each stage, thus achieving the desired target flatness and glaze maturity. The use of neural network models makes the control of the production process more scientific, reduces product defects, and improves product quality and performance.

[0103] The uniform heating in the preheating stage reduces the temperature gradient of the glass and effectively prevents the generation of warping and ripples. The precise control in the heating stage ensures the full sintering of the glaze and improves the weather resistance and stability of the glaze. The further temperature uniformity in the soaking stage eliminates the temperature difference and ensures the flatness and mechanical properties of the glass.

[0104] The optimization of the optimal heating time and cooling rate shortens the time of the entire tempering process and improves production efficiency. The control of the furnace atmosphere ensures that the heating process is carried out in an ideal environment and reduces unnecessary energy consumption. The neural network model is trained based on a large amount of historical data and can generate the best control strategy based on the current production information and target information. The data-driven approach makes the production process more scientific and reliable, reduces the reliance on human experience, and improves the modernization level of production management.

[0105] By introducing a pre-trained neural network model, production information and target information are converted into specific control information, which improves the accuracy and scientificity of control. This automated and intelligent control method not only optimizes the production process and improves production efficiency, but also ensures product quality and performance and reduces production risks. Data-driven decision-making makes the production process more reliable and modern, and is suitable for large-scale and high-precision tempered enameled glass production.

[0106] Exemplarily, before inputting production information and target information into the pre-trained neural network model, it also includes: obtaining historical production information, historical control information and historical tempering effects corresponding to the tempered colored glaze glass; the historical production information includes at least historical glass parameters, historical color powder parameters, historical glass powder parameters and historical screen parameters, the historical control information includes at least historical preheating control parameters, historical heating control parameters and historical equalization control parameters, and the historical tempering effects include at least historical flatness and historical glaze maturity; generating training samples based on the historical production information, historical control information and historical tempering effects; and completing the training of the neural network model to be trained based on the training samples.

[0107] The use of historical data enables the neural network model to be trained based on a large amount of actual production data, improving the model's ability to parse production information and target information. During the model training process, the parameters are optimized through the back-propagation algorithm, making the generated control information more accurate and reliable. The neural network model can automatically parse the input data and generate control information, reducing human intervention and errors, and improving the automation and intelligence level of the production process. The data-driven approach makes the production process more scientific and reduces dependence on experience and subjective judgment. The generation of training samples and the training of the model enable the model to better adapt to different production conditions and optimize the entire production process. The structural design of the convolutional layer and the pooling layer enables the model to efficiently process a large amount of input data and gradually extract and refine features.

[0108] By generating precise control information, the temperature and time control at each stage is more accurate, thus achieving the desired target flatness and glaze maturity. Data-driven control strategies reduce product defects and improve product quality and performance.

[0109] The uniform heating in the preheating stage reduces the temperature gradient of the glass and effectively prevents the generation of warping and ripples. The precise control in the heating stage ensures the full sintering of the glaze and improves the weather resistance and stability of the glaze. The further temperature homogenization in the soaking stage eliminates the temperature difference and ensures the flatness and mechanical properties of the glass. The optimization of the optimal heating time and cooling rate shortens the time of the entire tempering process and improves production efficiency. The control of the atmosphere in the furnace ensures that the heating process is carried out in an ideal environment and reduces unnecessary energy consumption.

[0110] The continuous accumulation of historical data and continuous training of the model enable the model to be continuously optimized and improved to adapt to new production conditions and requirements. The data feedback mechanism can further enhance the robustness and adaptability of the model and ensure the continuous optimization of the production process.

[0111] In summary, by introducing the historical data of tempered colored glaze glass, generating training samples and training the neural network model, the accuracy and scientificity of the control information are improved. This data-driven method not only improves the intelligence level of the production process and optimizes the production process, but also ensures the quality and performance of the product, reduces production risks, and improves production efficiency. At the same time, the continuous training and optimization of the model enables the production process to be continuously improved and adapted to new production requirements. This has a significant beneficial effect on the tempered production of colored glaze glass. The content corresponding to the historical production information can be shown in Table 2. After obtaining the training samples, the training set and the validation set can be divided according to the ratio of 7:3, with 156 groups of training set data and 68 groups of validation set data.

[0112] Table 2

[0113]

[0114] It should be noted that, in some embodiments, training of the neural network model to be trained is completed according to the training samples, including: starting iterative training of the neural network model according to a preset maximum number of training times, a preset activation function and a preset learning rate; wherein, after each iterative training is completed, the training samples are randomly sorted; the learning rate is adjusted according to the number of training times corresponding to the iterative training to avoid rapid convergence of the neural network model; wherein the learning rate after each adjustment is less than the learning rate before the adjustment.

[0115] Initialize training parameters such as maximum number of training times: the preset maximum number of training times, for example, 1000. Activation function: the preset activation function, for example, ReLU. Learning rate: the preset initial learning rate, for example, 0.01.

[0116] Iterative training of the neural network model is started according to the preset maximum number of training times, the preset activation function, and the preset learning rate. After each iteration, the training samples are randomly sorted to prevent the model from overfitting due to the fixed sample order. The learning rate is adjusted according to the number of training times corresponding to the iterative training to avoid rapid convergence of the model and ensure that the model can fully learn the complex features in the data. The learning rate after each adjustment is less than the learning rate before adjustment, for example, the learning rate gradually decreases from 0.01 to 0.001.

[0117] Randomly sorting the training samples after each iteration of training can prevent the model from overfitting due to fixed sample order and improve the generalization ability of the model. Random sorting enables the model to better adapt to different data distributions during training and improves the model's adaptability to new data.

[0118] As the number of training times increases, gradually reducing the learning rate can prevent the model from converging quickly at the beginning of training due to too high a learning rate, thus missing out on a better solution. Gradually reducing the learning rate allows the model to converge more stably during training, ensuring that the model can fully learn the complex features in the data.

[0119] Presetting the maximum number of training times can prevent the model training time from being too long and improve training efficiency. Using efficient activation functions such as ReLU can speed up the model training and improve training efficiency.

[0120] Through the training of a large amount of historical data, the neural network model can more accurately analyze production information and target information and generate scientific control strategies. Training based on historical data makes the control strategy more scientific and reduces the influence of human experience and subjective judgment.

[0121] The fully trained neural network model can generate more accurate control information, ensuring more accurate temperature and time control at each stage, so as to achieve the desired target flatness and glaze maturity. The precise control strategy reduces product defects and improves product quality and performance.

[0122] By randomly sorting training samples and gradually adjusting the learning rate, the training process of the neural network model is optimized, and the generalization ability and convergence stability of the model are improved. This data-driven training method not only improves the scientific nature of the control strategy, but also ensures the quality and performance of the product, reduces production risks, and improves production efficiency. Through continuous data accumulation and model training, the production process can be continuously improved to adapt to new production requirements. This has a significant beneficial effect on the tempered production of colored glaze glass.

[0123] For example, when constructing a convolutional neural network, the first convolution layer uses a 2x1 convolution kernel and sets 8 output channels to perform preliminary feature extraction on the input data. Subsequently, the second convolution layer also uses a 2x1 convolution kernel, but the number of output channels is increased to 16 to further enhance the feature expression capability. In order to reduce the feature dimension and reduce the amount of calculation, the model introduces a maximum pooling layer with a pooling size of 2x1 and a step size of 2. Finally, a fully connected layer is used to map the features to 6 output nodes to meet the needs of the task.

[0124] During the training process, the model adopted a stochastic gradient descent strategy with a batch size of 64, and set the maximum number of training times to 200. The initial learning rate was set to 0.001 to promote rapid convergence of the model. In order to prevent the model from converging prematurely during training, a piecewise learning rate adjustment strategy was adopted, and the learning rate will be adjusted by 0.1 after every 150 training times. In addition, the data set was shuffled before each training to ensure the generalization ability and robustness of the model. Relu was used as the activation function.

[0125] In some embodiments, the glass parameters include at least the thermal expansion coefficient of the glass and the glass thickness; the color powder parameters include at least the thermal expansion coefficient of the color powder; the glass powder parameters include at least the thermal expansion coefficient of the glass powder, and the screen parameters include at least the thermal expansion coefficient of the screen; the control information corresponding to the tempering furnace is generated according to the production information and the target information, including: calculating the average thermal expansion coefficient according to the thermal expansion coefficient of the glass, the thermal expansion coefficient of the color powder, the thermal expansion coefficient of the glass powder and the thermal expansion coefficient of the screen; obtaining the initial temperature of the colored glaze glass; generating preheating control parameters according to the average thermal expansion coefficient, the glass thickness and the initial temperature; calculating the heating control parameters according to the preheating control parameters, the target flatness, the average thermal expansion coefficient, the target glaze maturity, the glass thermal expansion coefficient, the color powder thermal expansion coefficient, the glass powder thermal expansion coefficient and the screen thermal expansion coefficient; calculating the equalization control parameters according to the heating control parameters, the target flatness, the target glaze maturity, the thermal expansion coefficient of the glass, the color powder thermal expansion coefficient, the glass powder thermal expansion coefficient and the screen thermal expansion coefficient.

[0126] By specifically measuring and calculating the thermal expansion coefficients of glass, color powder, glass powder and screen, and combining the initial temperature and target information of the colored glaze glass, accurate preheating control parameters, heating control parameters and heat-saturation control parameters are generated. The advantage of this method is that by calculating the average thermal expansion coefficient, the thermal expansion of the glass caused by the temperature change during the heating process of the tempering furnace is ensured to be uniform, and the temperature difference between the surface and the inside of the glass is reduced, thereby effectively preventing the glass from warping and roller ripples.

[0127] At the same time, according to the average thermal expansion coefficient and the thermal expansion coefficient of various materials, accurate heating control parameters and heat-averaging control parameters are calculated to ensure that the glaze can be fully sintered at high temperature, improve the weather resistance and stability of the glaze, and avoid color difference problems. The generated control parameters not only take into account the thermal expansion characteristics of the material, but also combine the target flatness and target glaze maturity to ensure that the final tempered colored glaze glass meets the predetermined quality standards. Through specific parameter calculation and control, the heating process of each production batch is more consistent and reliable, reducing uncertainty and errors in production and improving product stability and consistency. Accurate preheating control parameters can heat the glass to the appropriate temperature faster, reduce heating time, and thus save energy. At the same time, the heat-averaging control parameters ensure uniform heating, avoid local overheating or underheating, and further improve energy efficiency.

[0128] In summary, the method can generate corresponding control parameters according to different glass parameters, color powder parameters, glass powder parameters and screen parameters, which is suitable for colored glaze glass of different thickness, material and design, and has high flexibility and adaptability. Through precise parameter measurement and calculation, the method generates optimized preheating, heating and soaking control parameters, effectively solves the deformation of colored glaze glass during tempering and the problem of insufficient sintering of glaze, improves product quality and production efficiency, and has significant practical value and technical advantages.

[0129] Exemplarily, the preheating control parameters include preheating temperature and preheating time; generating the preheating control parameters according to the average thermal expansion coefficient, glass thickness and initial temperature includes: generating the preheating temperature according to the average thermal expansion coefficient, glass thickness and initial temperature; the expression of the preheating control temperature includes:

[0130] ;

[0131] in, is the preheating temperature, is the average thermal expansion coefficient, is the glass thickness, is the initial temperature; obtain the preheating heat conduction rate, and calculate the preheating time according to the preheating heat conduction rate, the initial temperature and the preheating temperature; the expression of the preheating time includes:

[0132] ;

[0133] in, For the warm-up time, is the preheating temperature, is the preheating heat transfer rate, is the initial temperature.

[0134] The preheating temperature formula generates the preheating temperature based on the average thermal expansion coefficient, glass thickness and initial temperature. This formula ensures that the preheating temperature can effectively reduce the internal stress generated in the glass during the subsequent heating process, preventing the occurrence of warping and roller ripples. The preheating time formula calculates the preheating time based on the preheating heat transfer rate, initial temperature and preheating temperature. This formula ensures that the preheating time can fully and evenly heat the enameled glass, avoid local temperature unevenness, and further reduce the possibility of deformation.

[0135] Then, the preheating temperature and time are accurately calculated through specific formulas, which significantly improves the temperature control accuracy and time optimization in the preheating stage. This method not only effectively reduces the deformation problem of colored glaze glass during the tempering process, but also improves the sintering quality of the glaze, saves energy, and improves production efficiency. It has obvious practical value and technical advantages.

[0136] Exemplarily, the heating control parameters include heating temperature and heating time; calculating the heating control parameters according to the preheating control parameters, target flatness, target glaze maturity, glass thermal expansion coefficient, toner thermal expansion coefficient, glass powder thermal expansion coefficient and screen thermal expansion coefficient includes: calculating the heating temperature according to the preheating control parameters, target flatness, target glaze maturity, glass thermal expansion coefficient, toner thermal expansion coefficient, glass powder thermal expansion coefficient and screen thermal expansion coefficient; the expression of the heating temperature includes:

[0137] ;

[0138] in, is the heating temperature, is the preheating temperature corresponding to the preheating control parameter, is the glass thickness, is the target glaze maturity, is the target flatness, is the thermal expansion coefficient of glass, is the thermal expansion coefficient of the toner, is the thermal expansion coefficient of glass powder, is the thermal expansion coefficient of the screen;

[0139] The heating heat conduction rate is obtained, and the heating time is calculated according to the heating heat conduction rate, the heating temperature and the preheating temperature; the expression of the heating time includes:

[0140] ;

[0141] in, is the heating time, is the heating temperature, is the heating heat transfer rate, is the preheating temperature.

[0142] The heating temperature is generated based on the preheating temperature, target flatness, target glaze maturity, glass thermal expansion coefficient, color powder thermal expansion coefficient, glass powder thermal expansion coefficient and screen thermal expansion coefficient. The heating temperature formula ensures that the heating temperature can effectively achieve the target flatness and glaze maturity, reduce internal stress and prevent glass deformation. At the same time, the heating time is calculated based on the preheating temperature, heating temperature and heating heat conduction rate. The heating time formula ensures that the heating time can fully and evenly heat the colored glaze glass, avoid local overheating or underheating, and further reduce the possibility of deformation.

[0143] Then, the heating temperature and time are accurately calculated through specific formulas, which significantly improves the temperature control accuracy and time optimization of the heating stage. This method not only effectively reduces the deformation problem of colored glaze glass during the tempering process, but also improves the sintering quality of the glaze, saves energy, and improves production efficiency. It has significant practical value and technical advantages.

[0144] Exemplarily, the soaking control parameters include soaking temperature and soaking time; the soaking control parameters are calculated according to the heating control parameters, target flatness, average thermal expansion coefficient, target glaze maturity, glass thermal expansion coefficient, color powder thermal expansion coefficient, glass powder thermal expansion coefficient and screen thermal expansion coefficient, including:

[0145] The soaking temperature is calculated based on the heating control parameters, target flatness, average thermal expansion coefficient, target glaze maturity, glass thermal expansion coefficient, color powder thermal expansion coefficient, glass powder thermal expansion coefficient and screen thermal expansion coefficient; the expressions for the soaking temperature include:

[0146] ;

[0147] in, is the average temperature, is the heating temperature corresponding to the heating control parameter, is the glass thickness, is the target glaze maturity, is the target flatness, is the thermal expansion coefficient of glass, is the thermal expansion coefficient of the toner, is the thermal expansion coefficient of glass powder, is the thermal expansion coefficient of the screen;

[0148] Obtain the soaking heat conduction rate, and calculate the soaking time according to the soaking heat conduction rate, soaking temperature and heating temperature; the soaking time expression includes:

[0149] ;

[0150] in, is the soaking time, is the average temperature, is the average heat transfer rate, For heating temperature.

[0151] The formula of soaking time and temperature ensures that the soaking process can effectively reduce the internal stress of the glass during heating and prevent the generation of warping and roller ripples. At the same time, the generation of soaking temperature and time not only takes into account the heating temperature, thermal expansion coefficient of glass, thermal expansion coefficient of color powder, thermal expansion coefficient of glass powder and thermal expansion coefficient of screen, but also combines the target flatness and target glaze maturity to ensure that the final tempered colored glaze glass meets the predetermined quality standards.

[0152] The above example uses a specific formula to accurately calculate the soaking temperature and time, significantly improving the temperature control accuracy and time optimization of the soaking stage. This method not only effectively reduces the deformation problem of colored glaze glass during the tempering process, but also improves the sintering quality of the glaze, saves energy, and improves production efficiency. It has significant practical value and technical advantages. Through scientific control methods, the stability of the production process and the consistency of product quality are ensured.

[0153] In some embodiments, the tempering furnace includes a preheating zone, a heating zone and a soaking zone; the tempering furnace is controlled in turn according to the preheating control parameters, the heating control parameters and the soaking control parameters to achieve temperature gradient control of the tempered heating section of the colored glaze glass, including: placing the colored glaze glass in the preheating zone, generating a first power control signal corresponding to the preheating zone according to the preheating control parameters, so as to gradually increase the temperature of the colored glaze glass in the preheating zone to avoid stress concentration on the colored glaze glass caused by sudden temperature change; after the preheating is completed, placing the colored glaze glass in the heating zone, generating a second power control signal corresponding to the heating zone according to the heating control parameters, so as to make the colored glaze glass in the heating zone Reaching the softening point is convenient for tempering the colored glaze glass; after the heating is completed, the colored glaze glass is placed in the heat-averaging zone, and a third power control signal corresponding to the heat-averaging zone is generated according to the heat-averaging control parameter, so as to keep the colored glaze glass at a constant temperature in the heat-averaging zone, so as to ensure that the temperature of the colored glaze glass is evenly distributed to avoid local overheating or overcooling; wherein, the preheating temperature corresponding to the preheating control parameter is less than the heat-averaging temperature corresponding to the heat-averaging control parameter, and the heat-averaging temperature is less than the heating temperature corresponding to the heating control parameter; the preheating time corresponding to the preheating control parameter is less than the heat-averaging time corresponding to the heat-averaging control parameter, and the heat-averaging time is less than the heating time corresponding to the heating control parameter.

[0154] By gradually heating up the preheating zone, stress concentration caused by sudden temperature changes is avoided, reducing the risk of deformation of the enameled glass during the preheating process. The temperature gradient control in the preheating stage makes the stress distribution inside the glass more uniform, providing a good foundation for the subsequent heating and soaking stage processing.

[0155] Through precise control of the heating zone, the enameled glass reaches the softening point, which is convenient for tempering. This process ensures that the glass is deformed and tempered at the appropriate temperature, improving the treatment effect. The temperature control and time optimization of the heating zone ensure that the glass is fully heated, providing the necessary conditions for subsequent tempering treatment.

[0156] The constant temperature control of the soaking zone ensures that the temperature of the enameled glass is evenly distributed to avoid local overheating or overcooling. This step further reduces the risk of deformation and improves the flatness and uniformity of the glass.

[0157] Precise control of the three stages of preheating, heating and soaking ensures that the temperature change and time control of the enameled glass during the entire tempering process are optimal, improving the tempering quality of the final product.

[0158] Through formula control at each stage, human error is reduced, the consistency and repeatability of production are improved, and the quality of each batch of products is ensured to be stable. Precise temperature and time control avoids unnecessary overheating, reduces energy waste and improves energy efficiency. By optimizing the time of each stage, the heating process is ensured to be fast and effective, which further saves energy.

[0159] By optimizing the time control of the three stages of preheating, heating and soaking, the total processing time of the entire tempering process can be effectively shortened and the production schedule can be accelerated. The control parameters of each stage have been accurately calculated, which reduces the time for adjustment in actual production and further improves production efficiency.

[0160] In summary, the temperature control accuracy and time optimization of the tempering process of colored glaze glass are significantly improved through staged temperature gradient control. This method not only effectively reduces the deformation and stress concentration problems of glass at various stages, but also improves the sintering quality of glaze, saves energy, and improves production efficiency. It has significant practical value and technical advantages. Through a scientific multi-stage control method, the stability of the production process and the consistency of product quality are ensured.

[0161] See also Figure 8 As shown, Figure 8 1 is a schematic diagram of the structure of the temperature gradient control device 200 for the tempered heating section of the colored glaze glass provided in the embodiment of the present application. The temperature gradient control device 200 for the tempered heating section of the colored glaze glass is used to execute the steps of the temperature gradient control method for the tempered heating section of the colored glaze glass shown in the above embodiments. The temperature gradient control device 200 for the tempered heating section of the colored glaze glass can be a single server or a server cluster, or the temperature gradient control device 200 for the tempered heating section of the colored glaze glass can be a terminal, which can be a handheld terminal, a laptop computer, a wearable device or a robot, etc.

[0162] like Figure 8 As shown, the temperature gradient control device 200 for the tempered heating section of the colored glaze glass comprises:

[0163] The glass acquisition unit 201 is used to acquire the colored glaze glass to be heated: the surface of the colored glaze glass at least includes color powder, glass powder and screen:

[0164] The parameter measuring unit 202 is used to respectively measure the glass parameters corresponding to the colored glaze glass, the toner parameters corresponding to the toner, the glass powder parameters corresponding to the glass powder and the screen parameters corresponding to the screen;

[0165] The information acquisition unit 203 is used to acquire target information of the colored glaze glass to be tempered after tempering; the target information includes target flatness and target glaze maturity;

[0166] An information generating unit 204 is used to generate production information corresponding to the colored glaze glass according to glass parameters, color powder parameters, glass powder parameters and screen parameters;

[0167] The parameter generating unit 205 is used to generate control information corresponding to the tempering furnace according to the production information and the target information; the control information includes preheating control parameters, heating control parameters and soaking control parameters;

[0168] The control completion unit 206 is used to control the tempering furnace according to the preheating control parameters, the heating control parameters and the soaking control parameters in sequence to achieve temperature gradient control of the tempering heating section of the colored glaze glass.

[0169] It should be noted that technical personnel in the relevant field can clearly understand that, for the convenience and simplicity of description, the specific working process of the temperature gradient control device of the tempered heating section of the colored glaze glass and each module described above can refer to the corresponding process in the embodiment of the temperature gradient control method of the tempered heating section of the colored glaze glass described in the above embodiments, and will not be repeated here.

[0170] The above-mentioned temperature gradient control method of the tempered heating section of the colored enamel glass can be realized in the form of a computer program. The computer program can be used in Figure 8 Run on the device shown.

[0171] See also Fig. 9 , Fig. 9 1 is a schematic block diagram of the structure of a computer device provided in an embodiment of the present application. The computer device includes a processor, a memory and a network interface connected via a device bus, wherein the memory may include a storage medium and an internal memory.

[0172] The storage medium can store operating equipment and computer programs. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any one of the temperature gradient control methods for the tempered heating section of colored glaze glass.

[0173] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0174] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any temperature gradient control method for the tempered heating section of the colored glaze glass.

[0175] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present application, and does not constitute a limitation on the terminal to which the scheme of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0176] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0177] In one embodiment, the processor is used to run a computer program stored in the memory to implement the following steps:

[0178] Obtain the colored glaze glass to be heated: the surface of the colored glaze glass at least includes color powder, glass powder and screen:

[0179] Measure the glass parameters corresponding to the colored glaze glass, the color powder parameters corresponding to the color powder, the glass powder parameters corresponding to the glass powder and the screen parameters corresponding to the screen respectively;

[0180] Obtaining target information of the tempered colored glaze glass to be tempered; the target information includes target flatness and target glaze maturity;

[0181] Generate production information corresponding to colored glaze glass according to glass parameters, color powder parameters, glass powder parameters and screen parameters;

[0182] Generate control information corresponding to the tempering furnace according to the production information and the target information; the control information includes preheating control parameters, heating control parameters and soaking control parameters;

[0183] The tempering furnace is controlled in turn according to the preheating control parameters, the heating control parameters and the soaking control parameters to realize the temperature gradient control of the tempering heating section of the colored glaze glass.

[0184] The present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the processor implements the steps of the temperature gradient control method of the tempered heating section of the colored glaze glass as described in the first aspect above.

[0185] The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as a hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc., equipped on the computer device.

[0186] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for controlling the temperature gradient of a tempered heating section of colored glaze glass, characterized in that: Used to control a preset tempering furnace; the method comprises: Obtaining colored enamel glass to be heated; The glass parameters, toner parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass are measured respectively; the glass parameters include at least the glass size and glass thickness; the toner parameters include at least the toner ratio and toner color; the glass powder parameters include at least the glass powder ratio; the screen parameters include at least the screen mesh number; the said measuring the glass parameters, toner parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass respectively include: using a preset laser distance measuring device to measure the colored glaze glass to obtain the glass size and glass thickness; using a preset laser particle size measuring device to measure the colored glaze glass to obtain the toner ratio and glass powder ratio; using a preset color difference device to measure the colored glaze glass to obtain the toner color; using a preset microscope to measure the colored glaze glass to obtain the screen mesh number; Obtaining target information of the colored glaze glass to be tempered after tempering; the target information includes target flatness and target glaze maturity; Generate production information corresponding to the colored glaze glass according to the glass parameters, color powder parameters, glass powder parameters and screen parameters; Generate control information corresponding to the tempering furnace according to the production information and the target information; the control information includes preheating control parameters, heating control parameters and soaking control parameters; The tempering furnace is controlled in sequence according to the preheating control parameters, the heating control parameters and the soaking control parameters to realize the temperature gradient control of the tempered heating section of the colored glaze glass; the tempering furnace includes a preheating zone, a heating zone and a soaking zone; the control of the tempering furnace in sequence according to the preheating control parameters, the heating control parameters and the soaking control parameters to realize the temperature gradient control of the tempered heating section of the colored glaze glass comprises: placing the colored glaze glass in the preheating zone, generating a first power control signal corresponding to the preheating zone according to the preheating control parameters, so as to gradually increase the temperature of the colored glaze glass in the preheating zone to avoid stress concentration on the colored glaze glass caused by sudden temperature change; after the preheating is completed, placing the colored glaze glass in the heating zone, generating a first power control signal corresponding to the preheating zone according to the heating control parameters A second power control signal corresponding to the heating zone is generated to make the colored glaze glass reach the softening point in the heating zone, so as to facilitate the tempering of the colored glaze glass; after the heating is completed, the colored glaze glass is placed in the equalizing zone, and a third power control signal corresponding to the equalizing zone is generated according to the equalizing control parameter to keep the colored glaze glass at a constant temperature in the equalizing zone, so as to ensure that the temperature of the colored glaze glass is evenly distributed to avoid local overheating or overcooling; wherein, the preheating temperature corresponding to the preheating control parameter is less than the equalizing temperature corresponding to the equalizing control parameter, and the equalizing temperature is less than the heating temperature corresponding to the heating control parameter; the preheating time corresponding to the preheating control parameter is less than the equalizing time corresponding to the equalizing control parameter, and the equalizing time is less than the heating time corresponding to the heating control parameter.

2. The method according to claim 1, characterized in that The generating of the production information corresponding to the colored glaze glass according to the glass parameters, the color powder parameters, the glass powder parameters and the screen parameters includes: Dividing the glass parameters, toner parameters, glass powder parameters and screen parameters into quantifiable parameters and non-quantifiable parameters; For the non-quantifiable parameter, generating a quantization rule for the non-quantifiable parameter according to a parameter type corresponding to the non-quantifiable parameter; completing quantization of the non-quantifiable parameter according to the quantization rule; The production information is generated according to the quantifiable parameter and the quantified non-quantifiable parameter.

3. The method according to claim 1, characterized in that Before generating the control information corresponding to the tempering furnace according to the production information and the target information, the method further includes: Obtaining a preset flatness comparison table and a glaze maturity comparison table; the flatness comparison table includes a preset flatness and a first mapping value corresponding to the preset flatness, and the glaze maturity comparison table includes a preset glaze maturity and a second mapping value corresponding to the preset glaze maturity; A first target mapping value corresponding to the target flatness in the target information in the flatness comparison table; A second target mapping value corresponding to the target glaze maturity in the target information in the flatness comparison table; Among them, if the higher the first mapping value in the flatness comparison table is, the higher the corresponding preset flatness is, then the higher the second mapping value in the glaze maturity comparison table is, the higher the corresponding preset glaze maturity is.

4. The method according to claim 1, characterized in that: The step of generating control information corresponding to the tempering furnace according to the production information and the target information includes: Inputting the production information and target information into a pre-trained neural network model, the neural network model parses the production information and target information, and outputs the control information; Among them, the neural network model includes at least a first convolutional layer, a second convolutional layer, a pooling layer and a fully connected layer connected in sequence, the structure of the convolution kernel of the first convolutional layer is the same as the convolution kernel structure of the second convolutional layer and the pooling size of the pooling layer, and the number of output channels of the first convolutional layer is less than the number of output channels of the second convolutional layer.

5. The method according to claim 4, characterized in that Before inputting the production information and target information into the pre-trained neural network model, the method further includes: Obtaining historical production information, historical control information and historical tempering effects corresponding to the tempered colored glaze glass; the historical production information at least includes historical glass parameters, historical color powder parameters, historical glass powder parameters and historical screen parameters; the historical control information at least includes historical preheating control parameters, historical heating control parameters and historical soaking control parameters; the historical tempering effects at least include historical flatness and historical glaze maturity; generating training samples according to the historical production information, historical control information and historical tempering effects; The training of the neural network model to be trained is completed according to the training samples.

6. The method according to claim 5, characterized in that The training of the neural network model to be trained is completed according to the training sample, including: Starting iterative training of the neural network model according to a preset maximum number of training times, a preset activation function and a preset learning rate; wherein, after each iteration of the training is completed, the training samples are randomly sorted; Adjusting the learning rate according to the number of training times corresponding to the iterative training to avoid rapid convergence of the neural network model; The learning rate after each adjustment is smaller than the learning rate before the adjustment.

7. The method according to claim 1, characterized in that The glass parameters at least include the glass thermal expansion coefficient and the glass thickness; the toner parameters at least include the toner thermal expansion coefficient; the glass powder parameters at least include the glass powder thermal expansion coefficient, and the screen parameters at least include the screen thermal expansion coefficient; the control information corresponding to the tempering furnace generated according to the production information and the target information includes: Calculating an average thermal expansion coefficient based on the thermal expansion coefficient of the glass, the thermal expansion coefficient of the toner, the thermal expansion coefficient of the glass powder and the thermal expansion coefficient of the screen; Obtaining the initial temperature of the colored glaze glass; generating the preheating control parameter according to the average thermal expansion coefficient, the glass thickness and the initial temperature; Calculating the heating control parameter according to the preheating control parameter, the target flatness, the average thermal expansion coefficient, the target glaze maturity, the glass thermal expansion coefficient, the color powder thermal expansion coefficient, the glass powder thermal expansion coefficient and the screen thermal expansion coefficient; The heat-saturation control parameter is calculated according to the heating control parameter, the target flatness, the target glaze maturity, the thermal expansion coefficient of glass, the thermal expansion coefficient of color powder, the thermal expansion coefficient of glass powder and the thermal expansion coefficient of screen.

8. The method according to claim 7, characterized in that The preheating control parameters include preheating temperature and preheating time; the preheating control parameters are generated according to the average thermal expansion coefficient, glass thickness and the initial temperature, including: The preheating temperature is generated according to the average thermal expansion coefficient, the glass thickness and the initial temperature; the expression of the preheating temperature includes: ； in, is the preheating temperature, is the average thermal expansion coefficient, is the glass thickness, is the initial temperature; The preheating heat conduction rate is obtained, and the preheating time is calculated according to the preheating heat conduction rate, the initial temperature and the preheating temperature; the expression of the preheating time includes: ； in, is the preheating time, is the preheating temperature, is the preheating heat transfer rate, is the initial temperature.

9. The method according to claim 7, characterized in that: The heating control parameters include heating temperature and heating time; the heating control parameters are calculated according to the preheating control parameters, the target flatness, the target glaze maturity, the glass thermal expansion coefficient, the color powder thermal expansion coefficient, the glass powder thermal expansion coefficient and the screen thermal expansion coefficient, including: The heating temperature is calculated according to the preheating control parameter, the target flatness, the target glaze maturity, the thermal expansion coefficient of glass, the thermal expansion coefficient of color powder, the thermal expansion coefficient of glass powder and the thermal expansion coefficient of screen; the expression of the heating temperature includes: ； in, is the heating temperature, is the preheating temperature corresponding to the preheating control parameter, is the glass thickness, is the target glaze maturity, is the target flatness, is the thermal expansion coefficient of the glass, is the thermal expansion coefficient of the toner, is the thermal expansion coefficient of the glass powder, is the thermal expansion coefficient of the screen; The heating heat conduction rate is obtained, and the heating time is calculated according to the heating heat conduction rate, the heating temperature and the preheating temperature; the expression of the heating time includes: ； in, is the heating time, is the heating temperature, is the heating heat transfer rate, is the preheating temperature.

10. The method according to claim 7, characterized in that The soaking control parameters include soaking temperature and soaking time; the soaking control parameters are calculated according to the heating control parameters, the target flatness, the average thermal expansion coefficient, the target glaze maturity, the glass thermal expansion coefficient, the color powder thermal expansion coefficient, the glass powder thermal expansion coefficient and the screen thermal expansion coefficient, including: The soaking temperature is calculated according to the heating control parameters, the target flatness, the average thermal expansion coefficient, the target glaze maturity, the glass thermal expansion coefficient, the color powder thermal expansion coefficient, the glass powder thermal expansion coefficient and the screen thermal expansion coefficient; the expression of the soaking temperature includes: ； in, is the soaking temperature, is the heating temperature corresponding to the heating control parameter, is the glass thickness, is the target glaze maturity, is the target flatness, is the thermal expansion coefficient of the glass, is the thermal expansion coefficient of the toner, is the thermal expansion coefficient of the glass powder, is the thermal expansion coefficient of the screen; The soaking heat conduction rate is obtained, and the soaking time is calculated according to the soaking heat conduction rate, the soaking temperature and the heating temperature; the expression of the soaking time includes: ； in, is the soaking time, is the soaking temperature, is the uniform heat transfer rate, is the heating temperature.

11. A temperature gradient control device for a tempered heating section of colored glaze glass, characterized in that: Used to control a preset tempering furnace; the device comprises: A glass obtaining unit, used for obtaining colored glaze glass to be heated; A parameter measuring unit, used to measure the glass parameters, toner parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass respectively; the glass parameters at least include glass size and glass thickness; the toner parameters at least include toner ratio and toner color; the glass powder parameters at least include glass powder ratio; the screen parameters at least include screen mesh count; the respectively measuring the glass parameters, toner parameters, glass powder parameters and screen parameters corresponding to the colored glaze glass comprises: using a preset laser distance measuring device to measure the colored glaze glass to obtain the glass size and glass thickness; using a preset laser particle size classification device to measure the colored glaze glass to obtain the toner ratio and glass powder ratio; using a preset color difference device to measure the colored glaze glass to obtain the toner color; using a preset microscope to measure the colored glaze glass to obtain the screen mesh count; An information acquisition unit is used to acquire target information of the colored glaze glass to be tempered after tempering; the target information includes target flatness and target glaze maturity; An information generating unit, used for generating production information corresponding to the colored glaze glass according to the glass parameters, color powder parameters, glass powder parameters and screen parameters; A parameter generating unit, configured to generate control information corresponding to the tempering furnace according to the production information and the target information; the control information includes preheating control parameters, heating control parameters and soaking control parameters; A control completion unit is used to control the tempering furnace according to the preheating control parameters, the heating control parameters and the soaking control parameters in turn to achieve temperature gradient control of the tempered heating section of the colored glaze glass; the tempering furnace includes a preheating zone, a heating zone and a soaking zone; the control of the tempering furnace according to the preheating control parameters, the heating control parameters and the soaking control parameters in turn to achieve temperature gradient control of the tempered heating section of the colored glaze glass includes: placing the colored glaze glass in the preheating zone, generating a first power control signal corresponding to the preheating zone according to the preheating control parameters, so as to gradually increase the temperature of the colored glaze glass in the preheating zone to avoid stress concentration on the colored glaze glass due to sudden temperature change; after the preheating is completed, placing the colored glaze glass in the heating ... and generating a first power control signal corresponding to the preheating zone according to the preheating control parameters The control parameter generates a second power control signal corresponding to the heating zone, so that the colored glaze glass reaches the softening point in the heating zone, which is convenient for tempering the colored glaze glass; after the heating is completed, the colored glaze glass is placed in the heat equalizing zone, and a third power control signal corresponding to the heat equalizing zone is generated according to the heat equalizing control parameter, so that the colored glaze glass maintains a constant temperature in the heat equalizing zone, so as to ensure that the temperature of the colored glaze glass is evenly distributed to avoid local overheating or overcooling; wherein, the preheating temperature corresponding to the preheating control parameter is less than the heat equalizing temperature corresponding to the heat equalizing control parameter, and the heat equalizing temperature is less than the heating temperature corresponding to the heating control parameter; the preheating time corresponding to the preheating control parameter is less than the heat equalizing time corresponding to the heat equalizing control parameter, and the heat equalizing time is less than the heating time corresponding to the heating control parameter.

12. A computer device, characterized in that: The computer device includes a memory and a processor; The memory is used to store computer programs; The processor is configured to execute the computer program and implement the method according to any one of claims 1 to 10 when executing the computer program.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to implement the method according to any one of claims 1 to 10.

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