Kiln liquid level control method, device, equipment, storage medium and product

Abstract

The invention discloses a kiln liquid level control method, device and equipment, a storage medium and a product, and relates to the technical field of glass production, and the kiln liquid level control method comprises the steps that the glass change amount of molten glass in a current kiln, the feeding weight of raw materials added into the kiln and the target discharging amount are obtained; on the basis of the glass variation and the feeding weight, determining the adjustment amplitude of the next feeding of the raw materials, and on the basis of the feeding weight and the target discharging amount, determining an adjustment scheme of the next feeding of the raw materials; and on the basis of the adjustment scheme and the adjustment amplitude, the upper limit and the lower limit of feeding the raw materials into the kiln at the next time are adjusted, so that the liquid level in the kiln is controlled. Namely, the upper limit and the lower limit of the raw materials needing to be fed next time are adjusted according to the adjustment scheme which is determined by adding the raw materials according to consumption, the adjustment amplitude, the feeding weight and the target discharging amount, and therefore accurate control over the liquid level of the kiln is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of glass production, and particularly to a method, device, equipment, storage medium and product for controlling the liquid level of a furnace. Background Art

[0002] During the glass production process, fluctuations in the glass liquid level in the furnace will cause defects in the glass. In order to reduce the defects in the glass, it is necessary to strictly control the change of the glass liquid level in the furnace.

[0003] Currently, the control of the glass liquid level is to adjust the output frequency of the liquid level in a timely manner according to the height of the glass liquid level, so that the feeding amount increases or decreases in a timely manner according to the liquid level. However, when the feeder is abnormal or the batch material changes, it will cause frequent fluctuations in the liquid level, making the furnace unable to accurately adjust the liquid level of the glass liquid, resulting in a decrease in the accuracy of the automatic control or process control of the furnace.

[0004] The above content is only used to assist in understanding the technical solution of the present application, and does not represent an admission that the above content is the prior art. Summary of the Invention

[0005] The main purpose of the present application is to provide a method for controlling the liquid level of a furnace, aiming to solve the technical problem of the decrease in the accuracy of the automatic control or process control of the furnace.

[0006] To achieve the above purpose, the present application proposes a method for controlling the liquid level of a furnace, and the method includes: Obtain the glass change amount of the glass liquid in the current furnace, the feeding weight of the raw materials added to the furnace, and the target discharge amount; Based on the glass change amount and the feeding weight, determine the adjustment range for the next input of the raw materials, and based on the feeding weight and the target discharge amount, determine the adjustment plan for the next input of the raw materials; Based on the adjustment plan and the adjustment range, adjust the upper and lower limits of the next input of the raw materials into the furnace to control the liquid level in the furnace.

[0007] In an embodiment, the step of determining the adjustment plan for the next input of the raw materials based on the feeding weight and the target discharge amount includes: Convert the feeding weight into the theoretical glass amount for producing glass based on the feeding weight; Determine the weight magnitude between the theoretical glass amount and the target discharge amount; Based on the weight magnitude and the liquid level in the furnace, determine the adjustment plan for the next input of the raw materials.

[0008] In one embodiment, the adjustment scheme includes the overall upward movement of the upper and lower limits of the raw materials, the overall downward movement of the upper and lower limits of the raw materials, and the PID adjustment of the upper and lower limits of the raw materials. The step of determining the adjustment scheme for the next raw material input based on the weight and the liquid level in the kiln includes: If the theoretical glass quantity is less than the target discharge quantity and the liquid level in the kiln is higher than the preset target value, it is determined that the upper and lower limits of the raw materials will be moved downward as a whole next time; If the theoretical glass quantity is less than the target discharge quantity and the liquid level is lower than the preset target value, it is determined that the upper and lower limits of the raw materials will be moved upward as a whole next time; If the theoretical glass quantity is greater than the target discharge quantity and the liquid level in the kiln is higher than the preset target value, it is determined that the upper and lower limits of the raw materials will be moved downward as a whole next time; If the theoretical glass quantity is greater than the target discharge quantity and the liquid level is lower than the preset target value, it is determined that the upper and lower limits of the raw materials will be moved upward as a whole next time; If the difference between the theoretical glass quantity and the target discharge quantity is within a preset ratio, it is determined that the next adjustment of the raw materials is based on the PID adjustment.

[0009] In one embodiment, before the step of converting the feeding weight into the theoretical glass quantity based on the feeding weight for producing glass, it includes: Obtain the attribute information of the raw materials and the processing information for processing the raw materials; Based on a preset conversion evaluation model, perform a correction evaluation process on the attribute information and the processing information to obtain the conversion rate for producing glass from the raw materials. The preset conversion evaluation model is obtained by training a model to be trained with the attribute information of historical processed raw materials and normal processing information as samples and the normal conversion rate corresponding to the attribute information and the normal processing information as labels; The step of converting the feeding weight into the theoretical glass quantity based on the feeding weight for producing glass includes: Perform a multiplication calculation on the feeding weight and the conversion rate to obtain the theoretical glass quantity for producing glass based on the feeding weight.

[0010] In one embodiment, the processing information at least includes the liquid level information and the temperature information of the kiln. Before the step of obtaining the attribute information of the raw materials and the processing information for processing the raw materials, it further includes: Obtain the attribute information of historical processed raw materials, the liquid level information and the temperature information of the kiln for historical processed raw materials in each processing time period, and the glass production in each time period; Screen out the abnormal liquid level information that does not meet the set liquid level from the liquid level information; Determine the corrected liquid level information corresponding to the abnormal liquid level information based on the glass production corresponding to the abnormal liquid level information; Train a first basic learning model based on the abnormal liquid level information and the corrected liquid level information to obtain a liquid level correction model; Train a second basic learning model based on the attribute information, the liquid level information satisfying the set liquid level, and the glass production corresponding to the liquid level information to obtain a production estimation model; Fuse the liquid level correction model and the production calculation model to obtain a preset conversion evaluation model.

[0011] In one embodiment, the step of obtaining the glass change amount of the glass liquid in the current kiln includes: Obtain the first average liquid level of the glass liquid in the kiln at the current unit time, and the second average liquid level of the glass liquid in the kiln within the previous unit time unit; Based on the first average liquid level and the second average liquid level, perform a quality calculation on the consumed glass liquid to obtain the glass change amount of the glass liquid in the current kiln.

[0012] In addition, to achieve the above object, the present application also proposes a kiln liquid level control device, and the kiln liquid level control device includes: An acquisition module, configured to acquire the glass change amount of the glass liquid in the current kiln, the feeding weight of the raw materials added to the kiln, and the target discharge amount; A determination module, configured to determine the adjustment range of the next input of the raw materials based on the glass change amount and the feeding weight, and determine the adjustment plan for the next input of the raw materials based on the feeding weight and the target discharge amount; An adjustment module, configured to adjust the upper and lower limits of the next input of the raw materials into the kiln based on the adjustment plan and the adjustment range to control the liquid level in the kiln.

[0013] In addition, to achieve the above object, the present application also proposes a kiln liquid level control device, and the device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the kiln liquid level control method as described above.

[0014] In addition, to achieve the above object, the present application also proposes a storage medium, the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, it implements the steps of the kiln liquid level control method as described above.

[0015] In addition, to achieve the above object, the present application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the furnace liquid level control method described above.

[0016] One or more technical solutions proposed by the present application have at least the following technical effects: Obtain the glass change amount of the molten glass in the current furnace, the feeding weight of the raw materials added to the furnace, and the target discharge amount; based on the glass change amount and the feeding weight, determine the adjustment range for the next input of the raw materials, and based on the feeding weight and the target discharge amount, determine the adjustment plan for the next input of the raw materials; based on the adjustment plan and the adjustment range, adjust the upper and lower limits of the next input of the raw materials into the furnace to control the liquid level in the furnace. It is possible to determine the adjustment range for the next input of the raw materials according to the real-time changing glass change amount, avoid excessive or insufficient addition of raw materials, and achieve adding raw materials according to consumption. Then, according to the adjustment range and the adjustment plan determined based on the feeding weight and the target discharge amount, adjust the upper and lower limits of the raw materials that need to be input next time, thereby realizing precise control of the furnace liquid level. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings here are incorporated into the description and form a part of this description, showing embodiments consistent with the present application and used together with the description to explain the principles of the present application.

[0018] To more clearly illustrate the technical solutions in the embodiments of the present application or in the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a schematic flow chart provided for Embodiment 1 of the furnace liquid level control method of the present application; Figure 2 It is a schematic flow chart provided for Embodiment 2 of the furnace liquid level control method of the present application; Figure 3 It is a schematic flow chart provided for Embodiment 3 of the furnace liquid level control method of the present application; Figure 4 It is a schematic diagram of the furnace system of the furnace liquid level control system in the embodiment of the present application; Figure 5 It is a top view of the furnace system of the furnace liquid level control system in the embodiment of the present application; Figure 6 It is a schematic diagram of the module structure of the furnace liquid level control device in the embodiment of the present application; Figure 7This is a schematic diagram of the device structure of the hardware operating environment involved in the kiln liquid level control method in the embodiments of the present application.

[0020] The implementation, functional features, and advantages of the present application will be further described in conjunction with the embodiments with reference to the accompanying drawings. Specific embodiments

[0021] It should be understood that the specific embodiments described herein are only used to explain the technical solution of the present application and are not used to limit the present application.

[0022] To better understand the technical solution of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific embodiments.

[0023] The main solution of the embodiments of the present application is: the DCS controller obtains the glass change amount of the glass liquid in the current kiln, the feeding weight of the raw materials added to the kiln, and the target discharge amount; based on the glass change amount and the feeding weight, determines the adjustment range for the next input of the raw materials, and based on the feeding weight and the target discharge amount, determines the adjustment plan for the next input of the raw materials; based on the adjustment plan and the adjustment range, adjusts the upper and lower limits of the next input of the raw materials into the kiln to control the liquid level in the kiln.

[0024] In this embodiment, for the convenience of description, the DCS controller is used as the execution subject for elaboration below.

[0025] At present, the control of the glass liquid level is to adjust the liquid level output frequency in a timely manner according to the height of the glass liquid level, so that the feeding amount increases or decreases in a timely manner according to the liquid level. However, the kiln cannot accurately adjust the liquid level of the glass liquid, resulting in a decrease in the accuracy of the automatic control or process control of the kiln.

[0026] The present application provides a solution, which obtains the glass change amount of the glass liquid in the current kiln, the feeding weight of the raw materials added to the kiln, and the target discharge amount; based on the glass change amount and the feeding weight, determines the adjustment range for the next input of the raw materials, and based on the feeding weight and the target discharge amount, determines the adjustment plan for the next input of the raw materials; based on the adjustment plan and the adjustment range, adjusts the upper and lower limits of the next input of the raw materials into the kiln to control the liquid level in the kiln. It can determine the adjustment range for the next input of the raw materials according to the real-time changing glass change amount, avoid too much or too little addition of the raw materials, realize adding raw materials according to consumption, and then adjust the upper and lower limits of the raw materials to be input next according to the adjustment range and the adjustment plan determined according to the feeding weight and the target discharge amount, so as to achieve precise control of the kiln liquid level.

[0027] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device, a DCS controller, etc. that can implement the above functions. Hereinafter, taking the DCS controller as an example, this embodiment and the following embodiments will be described.

[0028] Based on this, an embodiment of the present application provides a method for controlling the liquid level of a kiln furnace. Refer to Figure 1 , Figure 1 which is a schematic flowchart of the first embodiment of the method for controlling the liquid level of the kiln furnace in the present application.

[0029] In this embodiment, the method for controlling the liquid level of the kiln furnace includes steps S10 to S40: Step S10, obtaining the glass change amount of the glass liquid in the current kiln furnace, the feeding weight of the raw materials added to the kiln furnace, and the target discharge amount. It should be noted that a kiln furnace is an industrial device for melting glass raw materials at high temperature, usually composed of refractory materials, and internally provided with a melting pool for heating the glass raw materials to a molten state to form glass liquid; controlling the liquid level of the kiln furnace means controlling the glass liquid in the kiln furnace. Glass liquid is the glass raw materials melted in the kiln furnace, in a liquid form, with good fluidity. The glass change amount is the change situation of the liquid level of the glass liquid in the kiln furnace within a unit time, usually calculated by measuring the difference between the average liquid level in the current unit time and the average liquid level in the previous unit time; the glass change amount reflects the consumption speed of the glass liquid and is an important parameter for liquid level control. Raw materials are materials for producing glass, for example, silica sand, quartzite, limestone, soda ash, or feldspar, etc. The feeding weight is the weight of the glass raw materials added to the kiln furnace each time, and the accuracy of the feeding weight directly affects the generation amount of the glass liquid and the liquid level change. The target discharge amount is, in the process of glass production, according to the production plan and product quality requirements, that is, the target weight of the glass liquid that the kiln furnace needs to output within a unit time.

[0030] In specific implementation, a liquid level measurement sensor is used to monitor the liquid level of the glass liquid in the kiln furnace in real time; a weighing sensor or other metering devices are used to accurately measure the weight of the raw materials added to the kiln furnace each time; according to the production plan and product quality requirements, the target weight of the glass liquid that the kiln furnace needs to output within a unit time is set, and by receiving or reading the detection data of the liquid level measurement sensor, the difference between the average liquid level in the current unit time and the average liquid level in the previous unit time is calculated, so as to obtain the consumption amount (glass change amount) of the glass liquid, and by receiving or reading the detection data of the weighing sensor, the feeding weight is obtained, and the target discharge amount is screened from the input data of the user to facilitate the subsequent steps.

[0031] Furthermore, step S10 may further include: Obtain the first average liquid level of the molten glass in the furnace at the current unit time, and the second average liquid level of the molten glass in the furnace within the previous unit time unit; Based on the first average liquid level and the second average liquid level, calculate the quality of the consumed molten glass to obtain the glass change amount in the current furnace.

[0032] In a specific implementation, the liquid level data adopts the average value of the collected data within the unit time (h average). The unit time can be set according to the production situation (such as 1 - 600S, during which the liquid level values h1, h2, h3 ··· hn are measured). Single values are not used to avoid output fluctuations caused by instantaneous changes in single - value data collection. The liquid level target value is h0. According to the change amount of the liquid level height within the unit time and the change amount of the liquid level height within the previous unit time (such as changing from h1 to hn), the furnace area (S), and the glass density (ρ), calculate the corresponding glass change amount (ΔQ1), ΔQ1 = ρS(hn - h1).

[0033] Step S20: Based on the glass change amount and the feeding weight, determine the adjustment range for the next input of the raw materials, and based on the feeding weight and the target discharge amount, determine the adjustment plan for the next input of the raw materials; It should be noted that the adjustment range is the range of the raw material weight that needs to be adjusted during the next feeding, calculated based on the glass change amount and the feeding weight. The adjustment range is used to dynamically adjust the feeding amount to adapt to the actual consumption situation of the molten glass. The adjustment plan is the specific strategy for the next feeding determined according to the relationship between the feeding weight and the target discharge amount, including the overall upward or downward movement of the upper and lower limits of the feeding amount or the adjustment based on PID control, so as to optimize the feeding process, avoid over - feeding or under - feeding, and ensure the accuracy of liquid level control.

[0034] It can be understood that by determining the adjustment range for the next input of raw materials according to the glass change amount and the feeding weight, the amount of the next feeding can be determined according to the actual consumption situation, avoiding fixed feeding according to the set feeding standard, realizing dynamic feeding according to the actual consumption situation, and ensuring the stability of the liquid level in the furnace.

[0035] It can be understood that by determining the adjustment plan for the next input of raw materials based on the feeding weight and the target discharge amount, when adjusting the weight of the next input of raw materials, it can be ensured that the target discharge amount is met, realizing the guarantee of production efficiency while controlling the liquid level to be normal, avoiding the decrease in production efficiency caused by controlling the liquid level to be normal, and by analyzing the difference between the theoretical glass amount and the target discharge amount, combined with the real - time state of the furnace liquid level, optimizing the feeding strategy, the stability and accuracy of the liquid level can also be ensured.

[0036] In a specific implementation, by analyzing the relationship between the change in glass and the feeding weight, the range of the raw material weight that needs to be adjusted for the next feeding is calculated. For example, if the change in glass is large, it indicates that the glass melt is consumed quickly, and it may be necessary to increase the feeding amount; conversely, it may be necessary to decrease the feeding amount, and the calculation of the adjustment range can dynamically adapt to the actual consumption of the glass melt. According to the actual consumption of the glass melt, the weight of the raw materials to be input next time can be dynamically adjusted to promptly return the glass melt to the standard liquid level and reduce the fluctuation of the glass melt; and according to the relationship between the feeding weight and the target discharge amount, combined with the real-time state of the furnace liquid level, a specific adjustment strategy is determined. The adjustment plan may include overall upward or downward movement of the upper and lower limits of feeding or adjustment based on PID control, etc.

[0037] Step S30: Based on the adjustment plan and the adjustment range, adjust the upper and lower limits of the raw materials to be input into the furnace next time to control the liquid level in the furnace.

[0038] It should be noted that the liquid level is the liquid surface height of the glass melt in the furnace, and the stability and accuracy of the liquid level are key indicators in the glass production process, directly affecting the quality and production efficiency of glass products.

[0039] It can be understood that according to the adjustment plan and the adjustment range, the upper and lower limits of the raw materials to be input into the furnace next time are dynamically adjusted, that is, through real-time feedback and dynamic adjustment, it is ensured that the furnace liquid level is always within the preset target value range, thereby reducing the fluctuation of the furnace liquid level and achieving precise control of the glass melt liquid level.

[0040] It can be understood that during the glass production process, the stability of the furnace liquid level is crucial for production. When the glass liquid level fluctuates, glass defects such as stones, nodules, and bubbles will also fluctuate accordingly, which has an adverse impact on glass quality and good products. Precise liquid level control can reduce production interruptions or defective product rates caused by liquid level fluctuations, thereby improving the overall efficiency of glass production. At the same time, dynamically adjusting the feeding amount can optimize the use of raw materials according to actual needs, reduce waste, and further improve production efficiency.

[0041] It can be understood that since too high a liquid level will cause more heat in the furnace to be absorbed by the upper-layer glass melt, more energy is required to maintain the temperature in the furnace to ensure the normal melting and shaping of the glass. Therefore, by precisely controlling the liquid level, the increase in energy consumption caused by too high or too low a liquid level is also avoided. For example, too high a liquid level will increase the energy consumption during the melting process, while too low a liquid level may cause the glass melt to cool and solidify, affecting production efficiency. By optimizing the liquid level control, energy consumption can be effectively reduced and energy utilization efficiency can be improved.

[0042] This embodiment provides a method for controlling the liquid level of a kiln. The method includes obtaining the glass change amount of the glass liquid in the current kiln, the feeding weight of the raw materials added to the kiln, and the target discharge amount. Based on the glass change amount and the feeding weight, the adjustment range for the next addition of the raw materials is determined, and based on the feeding weight and the target discharge amount, the adjustment plan for the next addition of the raw materials is determined. Based on the adjustment plan and the adjustment range, the upper and lower limits for the next addition of the raw materials to the kiln are adjusted to control the liquid level in the kiln. It is possible to determine the adjustment range for the next addition of the raw materials according to the real-time changing glass change amount, avoiding excessive or insufficient addition of raw materials, achieving the addition of raw materials according to consumption, and then adjusting the upper and lower limits of the raw materials to be added next according to the adjustment range and the adjustment plan determined based on the feeding weight and the target discharge amount, thereby realizing precise control of the liquid level in the kiln.

[0043] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar content as in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 2 , step S20 further includes steps S21 to S23: Step S21, convert the feeding weight into the theoretical glass amount for producing glass based on the feeding weight; Step S22, determine the weight relationship between the theoretical glass amount and the target discharge amount; Step S23, determine the adjustment plan for the next addition of the raw materials based on the weight relationship and the liquid level in the kiln.

[0044] It should be noted that the glass amount conversion is to calculate the theoretical weight of the glass that can be produced under ideal processing conditions based on the feeding weight. The theoretical glass amount is the theoretical weight of the glass that can be produced under ideal processing conditions calculated based on the feeding weight, the properties of the raw materials, the temperature information in the kiln, etc. The weight relationship is the weight difference relationship between the theoretical glass amount and the target discharge amount, that is, the theoretical glass amount is greater than, less than, or equal to the target discharge amount.

[0045] It can be understood that during the glass production process, the feeding weight of the raw materials cannot be directly equal to the weight of the finally produced glass liquid because chemical reactions, volatilization, or other physical changes may occur during the melting process of the raw materials. Therefore, it is necessary to calculate the theoretical weight of the glass that can be produced under ideal processing conditions through glass amount conversion.

[0046] It can be understood that by converting the feeding weight into the theoretical glass amount, the weight of the molten glass that can be produced under ideal processing conditions can be predicted in advance, so as to more accurately evaluate whether the feeding amount meets the production requirements. When there is a deviation between the theoretical glass amount and the target discharge amount, the feeding amount can be adjusted in advance, thereby optimizing the production process and reducing large fluctuations in the molten glass in the furnace caused by insufficient or excessive feeding.

[0047] It can be understood that since the physical and chemical properties of the raw materials may vary due to different batches, through the conversion of the feeding weight to the glass amount, the theoretical glass amount can also be flexibly predicted according to the characteristics of different raw materials, improving the flexibility and adaptability of determining the theoretical glass amount, and further improving the accuracy of obtaining the theoretical glass amount.

[0048] It can be understood that by comparing the weight of the theoretical glass amount with the target discharge amount, it can be quickly determined whether the current production state meets the expectations. Moreover, since the theoretical glass amount is flexibly predicted according to the characteristics of different raw materials, the comparison accuracy between the theoretical glass amount and the target discharge amount is improved, making the finally determined adjustment plan more capable of accurately controlling the liquid level in the furnace.

[0049] Furthermore, step S23 further includes: If the theoretical glass amount is less than the target discharge amount and the liquid level in the furnace is higher than the preset target value, determine the upper and lower limits for the next overall downward movement of the raw materials; If the theoretical glass amount is less than the target discharge amount and the liquid level is lower than the preset target value, determine the upper and lower limits for the next overall upward movement of the raw materials; If the theoretical glass amount is greater than the target discharge amount and the liquid level in the furnace is higher than the preset target value, determine the upper and lower limits for the next overall downward movement of the raw materials; If the theoretical glass amount is greater than the target discharge amount and the liquid level is lower than the preset target value, determine the upper and lower limits for the next overall upward movement of the raw materials; If the difference between the theoretical glass amount and the target discharge amount is within the preset ratio, determine that the next adjustment of the raw materials is based on the PID adjustment.

[0050] It should be noted that the preset ratio is the allowable deviation range between the theoretical glass amount and the target discharge amount, usually expressed as a percentage. The PID adjustment is a control algorithm based on proportional (P), integral (I), and derivative (D) used to dynamically adjust the feeding amount to achieve precise control of the liquid level. The PID adjustment can make fine adjustments according to the real-time changes of the liquid level to ensure the stability of the liquid level. The overall upward / downward movement is a strategy for uniformly adjusting the upper and lower limits of the feeding amount. The overall upward movement means increasing the feeding amount, and the overall downward movement means reducing the feeding amount.

[0051] It can be understood that by adjusting the overall input of raw materials, the upper or lower limit of the input of raw materials can be prevented from exceeding the normal liquid level, so as to ensure that after the feeding weight of the raw materials to be input next time is adjusted, the fluctuation of the molten glass in the furnace is within the normal fluctuation range, thereby realizing the precise control of the furnace liquid level.

[0052] In specific implementation, if the difference between the theoretical glass amount and the target discharge amount is within 1%, the upper and lower limits of the feeder output remain A 上 and A 下 unchanged, and the feeder output is adjusted according to PID between A 上 and A 下 to make the liquid level gradually approach the target value; if the theoretical glass amount of the discharge amount converted from the feeding amount is greater than the target discharge amount and the liquid level is on the high side (higher than the target value h0), the upper and lower limits of the feeder output A 上 and A 下 will be moved down as a whole, that is: A 上 -a and A 下 -a, and timely remind that the actual discharge amount of forming may be small; if the theoretical glass amount of the discharge amount converted from the feeding amount is greater than the target discharge amount and the liquid level is on the low side (lower than the target value h0), the upper and lower limits of the feeder output A 上 and A 下 will be moved up as a whole, that is: A 上 +a and A 下 +a, and timely remind that the actual discharge amount of forming may be large; if the theoretical glass amount of the discharge amount converted from the feeding amount is less than the target discharge amount and the liquid level is on the high side (higher than the target value h0), the upper and lower limits of the feeder output A 上 and A 下 will be moved down as a whole, that is: A 上 -a and A 下 -a, and timely remind that the actual discharge amount of forming may be small; if the theoretical glass amount of the discharge amount converted from the feeding amount is less than the target discharge amount and the liquid level is on the low side (lower than the target value h0), the upper and lower limits of the feeder output A 上 and A 下 will be moved up as a whole, that is: A 上 +a and A 下 +a, and timely remind that the actual discharge amount of forming may be large. Wherein, a is the adjustment range.

[0053] Based on the first embodiment and the second embodiment of the present application, in the third embodiment of the present application, the same or similar content as the above embodiments can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 3 , before step S21, the furnace liquid level control method further includes steps S01~S02: Step S01, obtaining the attribute information of the raw material and the processing information for processing the raw material; Step S02: Based on a preset conversion evaluation model, perform a correction evaluation process on the attribute information and processing information to obtain the conversion rate of producing glass from the raw materials. The preset conversion evaluation model is obtained by training a model to be trained with the attribute information of historical processed raw materials and normal processing information as samples and the normal conversion rate corresponding to the attribute information and normal processing information as labels.

[0054] It should be noted that the attribute information is the physical and chemical properties of the raw materials, including but not limited to composition, purity, particle size, melting point, etc. These information are the basic data for evaluating the performance of the raw materials during the processing. The processing information is the relevant parameters during the processing of the raw materials in the furnace, including temperature information, time, liquid level information, atmosphere, etc. These information reflect the environment and conditions during the actual processing of the raw materials. The preset conversion evaluation model is a mathematical model trained based on historical data, used to evaluate the influence of raw material attributes and processing conditions on the glass production volume. This model predicts the conversion rate of the current raw materials under specific processing conditions by analyzing historical processing data. The conversion rate is the efficiency of the raw materials being converted into glass liquid during the processing, usually expressed as a percentage, and the conversion rate reflects the actual utilization rate of the raw materials. The normal processing information is the typical parameters during the processing of the raw materials under standard process conditions, such as temperature, time, etc. The normal conversion rate is the standard efficiency of the raw materials being converted into glass liquid under normal processing conditions.

[0055] It can be understood that the preset conversion evaluation model is a model trained based on historical data, used to evaluate the conversion rate of raw materials under specific processing conditions. By inputting the attribute information and processing information of the current raw materials into the preset conversion evaluation model, the preset conversion evaluation model will perform a correction evaluation on the abnormal data in the processing information according to historical data, and output the conversion rate of the raw materials corresponding to the normal data equivalent to the abnormal data, avoiding obtaining an incorrect theoretical glass volume due to an incorrect conversion rate.

[0056] Since determining the weight of the raw materials to be input next time is based on the theoretical glass volume, that is, determining the adjustment range is based on the theoretical glass volume, and selecting the adjustment plan is also based on the theoretical glass volume. Therefore, accurately obtaining the conversion rate of the current raw materials being converted into glass through the preset conversion evaluation model further improves the accuracy of the liquid level control in the furnace.

[0057] It can be understood that through model evaluation, the conversion rate of the raw materials under the current processing conditions can be accurately predicted, avoiding production deviations caused by changes in raw material characteristics or processing conditions, and avoiding the influence on the current conversion rate when the feeder is abnormal or the batch changes.

[0058] It can be understood that although a higher melting temperature can accelerate the melting of raw materials and the reaction rate, an excessively high temperature may cause the volatilization of raw materials and the crystallization of glass, thereby affecting the quality and output of glass. Therefore, when correcting the attribute information and processing information, the temperature information during processing is used as a reference for correction to avoid inaccurate conversion rates caused by temperature.

[0059] Further, the step S21 includes: Multiply the feeding weight by the conversion rate to obtain the theoretical glass amount for producing glass based on the feeding weight.

[0060] In a specific implementation, the weight change amount per unit time of the discharge bin (such as from 1 to 600S, during which the bin values Q1, Q2, Q3... Qn are measured, and according to the glass yield α, the theoretical glass amount ΔQ2 corresponding to the feeding amount is calculated. The weight statistics time of the bin and the level gauge statistics time can be set to be synchronous or asynchronous (such as setting a difference of 5 minutes between the two).

[0061] Further, before the step S21, it further includes: Obtain the attribute information of historical processed raw materials, the liquid level information and temperature information of the furnace during each processing time period of the historical processed raw materials, and the glass output during each time period; Screen out abnormal liquid level information that does not meet the set liquid level from the liquid level information; Based on the glass output corresponding to the abnormal liquid level information, determine the corrected liquid level information corresponding to the abnormal liquid level information; Train a first basic learning model based on the abnormal liquid level information and the corrected liquid level information to obtain a liquid level correction model; Train a second basic learning model based on the attribute information, the liquid level information that meets the set liquid level, and the glass output corresponding to the liquid level information to obtain a production estimation model; Fuse the liquid level correction model and the production calculation model to obtain a preset conversion evaluation model.

[0062] It should be noted that the liquid level information and temperature information during the historical processing period are the data of the kiln liquid level and temperature recorded in the past production process, which reflect the changes in the liquid level and temperature during the processing. The glass output is the weight of the glass liquid actually produced by the kiln within a specific period. The abnormal liquid level information is the liquid level data when the liquid level exceeds the preset range (higher or lower than the set value) during the production process. The corrected liquid level information is the liquid level target value determined through the analysis of the abnormal liquid level information, which can restore the production to the normal state. The first basic learning model is a machine learning model trained based on the abnormal liquid level information and the corresponding corrected liquid level information, which is used to predict and correct the liquid level deviation. The second basic learning model is a machine learning model trained based on the raw material attribute information, normal liquid level information, and the corresponding glass output, which is used to predict the output of the glass liquid under specific conditions. The liquid level correction model is a model obtained by training the first basic learning model, which is used to correct the liquid level deviation in real time. The output prediction model is a model obtained by training the second basic learning model, which is used to predict the output of the glass liquid under specific raw material attributes and liquid level conditions.

[0063] It can be understood that by screening the abnormal liquid level information and the corrected liquid level information corresponding to the abnormal liquid level information, training the first basic learning model, and obtaining the liquid level correction model, the preset conversion evaluation model can be made to have the correction ability, so that the preset conversion evaluation model can correct the processing information when processing the raw materials, thereby ensuring the accurate acquisition of the conversion rate.

[0064] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the kiln liquid level control method of the present application. Based on this technical concept, more forms of simple transformations are within the protection scope of the present application.

[0065] The present application also provides a kiln liquid level control system. Please refer to Figure 4 , the kiln liquid level control system includes: a bin weighing system, a feeding system, and a DCS control system (not shown in the figure). The bin weighing system is installed in the bin, and the raw materials in the bin are put into the kiln through the feeder (feeding system); refer to Figure 5 , the kiln liquid level control system further includes a liquid level measurement system arranged in the kiln, and the DCS control system is communicatively connected to the feeder, the bin weighing system, and the liquid level measurement system; The bin weighing system is used to measure the feeding amount in real time; The liquid level gauge is responsible for measuring the actual value of the liquid level in real time; The feeding system is responsible for continuously feeding the kiln; The DCS control system is responsible for controlling the kiln liquid level.

[0066] The furnace liquid level control system provided by this application adopts the furnace liquid level control method in the above-mentioned embodiment, which can solve the technical problem of the decline in the accuracy of automatic control or process control of the furnace. Compared with the prior art, the beneficial effects of the furnace liquid level control system provided by this application are the same as those of the furnace liquid level control method provided by the above-mentioned embodiment, and other technical features in the furnace liquid level control system are the same as those disclosed in the method of the above-mentioned embodiment, which will not be elaborated here.

[0067] This application also provides a furnace liquid level control device. Please refer to Figure 6 , the furnace liquid level control device includes: An acquisition module 10 for acquiring the glass change amount of the glass liquid in the current furnace, the feeding weight of the raw materials added to the furnace, and the target discharge amount. A determination module 20 for determining the adjustment range of the next input of the raw materials based on the glass change amount and the feeding weight, and determining the adjustment plan for the next input of the raw materials based on the feeding weight and the target discharge amount. An adjustment module 30 for adjusting the upper and lower limits of the next input of the raw materials into the furnace based on the adjustment plan and the adjustment range to control the liquid level in the furnace.

[0068] Optionally, the determination module 20 is further configured to perform glass amount conversion on the feeding weight to obtain the theoretical glass amount of producing glass based on the feeding weight; determine the weight relationship between the theoretical glass amount and the target discharge amount; and determine the adjustment plan for the next input of the raw materials based on the weight relationship and the liquid level in the furnace.

[0069] Optionally, the adjustment plan includes the overall upward movement of the upper and lower limits of the raw materials, the overall downward movement of the upper and lower limits of the raw materials, and the PID adjustment of the upper and lower limits of the raw materials. The determination module 20 is further configured to, if the theoretical glass amount is less than the target discharge amount and the liquid level in the furnace is higher than the preset target value, determine to overall downward move the upper and lower limits of the raw materials next time; if the theoretical glass amount is less than the target discharge amount and the liquid level is lower than the preset target value, determine to overall upward move the upper and lower limits of the raw materials next time; if the theoretical glass amount is greater than the target discharge amount and the liquid level in the furnace is higher than the preset target value, determine to overall downward move the upper and lower limits of the raw materials next time; if the theoretical glass amount is greater than the target discharge amount and the liquid level is lower than the preset target value, determine to overall upward move the upper and lower limits of the raw materials next time; if the difference between the theoretical glass amount and the target discharge amount is within the preset ratio, determine that the next adjustment of the raw materials is based on the PID adjustment.

[0070] Optionally, the determination module 20 is further configured to obtain the attribute information of the raw material and the processing information for processing the raw material; perform a correction evaluation process on the attribute information and the processing information based on a preset conversion evaluation model to obtain a conversion rate for producing glass from the raw material. The preset conversion evaluation model is obtained by training a model to be trained with the attribute information of historical processed raw materials and normal processing information as samples and the normal conversion rate corresponding to the attribute information and the normal processing information as labels.

[0071] Optionally, the determination module 20 is further configured to multiply the feeding weight by the conversion rate to obtain a theoretical glass amount for producing glass based on the feeding weight.

[0072] Optionally, the processing information at least includes the liquid level information and the temperature information of the kiln. The determination module 20 is further configured to obtain the attribute information of historical processed raw materials, the liquid level information and the temperature information of the kiln during each processing time period of the historical processed raw materials, and the glass production amount during each time period; screen out abnormal liquid level information that does not meet the set liquid level from the liquid level information; determine the corrected liquid level information corresponding to the abnormal liquid level information based on the glass production amount corresponding to the abnormal liquid level information; train a first basic learning model based on the abnormal liquid level information and the corrected liquid level information to obtain a liquid level correction model; train a second basic learning model based on the attribute information, the liquid level information that meets the set liquid level, and the glass production amount corresponding to the liquid level information to obtain a production estimation model; fuse the liquid level correction model and the production calculation model to obtain a preset conversion evaluation model.

[0073] Optionally, the acquisition module 10 is further configured to obtain a first average liquid level of the glass liquid in the kiln in the current unit time and a second average liquid level of the glass liquid in the kiln in the previous unit time; calculate the quality of the consumed glass liquid based on the first average liquid level and the second average liquid level to obtain a glass change amount of the glass liquid in the current kiln.

[0074] The kiln liquid level control device provided by the present application adopts the kiln liquid level control method in the above embodiment, and can solve the technical problem of the decrease in the accuracy of the automatic control or process control of the kiln. Compared with the prior art, the beneficial effects of the kiln liquid level control device provided by the present application are the same as those of the kiln liquid level control method provided by the above embodiment, and the other technical features in the kiln liquid level control device are the same as the features disclosed in the method of the above embodiment, and will not be described in detail here.

[0075] The present application provides a kiln furnace liquid level control device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the kiln furnace liquid level control method in the first embodiment above.

[0076] Refer to the following Figure 7 , which shows a schematic structural diagram of a kiln furnace liquid level control device suitable for implementing the embodiments of the present application. The kiln furnace liquid level control device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The shown kiln furnace liquid level control device is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.

[0077] As Figure 7As shown, the kiln furnace liquid level control device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the kiln furnace liquid level control device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the kiln furnace liquid level control device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows a kiln furnace liquid level control device having various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems may be implemented or had alternatively.

[0078] Specifically, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device, or installed from the storage device 1003, or installed from the ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.

[0079] The kiln furnace liquid level control device provided by the present application adopts the kiln furnace liquid level control method in the above-mentioned embodiment, and can solve the technical problem of the decrease in the accuracy of the automatic control or process control of the kiln furnace. Compared with the prior art, the beneficial effects of the kiln furnace liquid level control device provided by the present application are the same as those of the kiln furnace liquid level control method provided by the above-mentioned embodiment, and other technical features in the kiln furnace liquid level control device are the same as those disclosed in the method of the previous embodiment, and will not be elaborated here.

[0080] It should be understood that each part disclosed in this application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0081] As described above, the above are only specific embodiments of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0082] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the kiln furnace liquid level control method in the above embodiments.

[0083] The computer-readable storage medium provided by this application can be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in conjunction with an instruction execution system, device, or device. The program code contained on the computer-readable storage medium can be transmitted by any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0084] The above computer-readable storage medium can be included in the kiln furnace liquid level control device; or it can exist separately without being assembled into the kiln furnace liquid level control device.

[0085] The above computer-readable storage medium carries one or more programs, which, when executed by the furnace liquid level control device, cause the furnace liquid level control device to: obtain the glass change amount of the molten glass in the current furnace, the feeding weight of the raw materials added to the furnace, and the target discharge amount; based on the glass change amount and the feeding weight, determine the adjustment range for the next input of the raw materials, and based on the feeding weight and the target discharge amount, determine the adjustment plan for the next input of the raw materials; based on the adjustment plan and the adjustment range, adjust the upper and lower limits of the next input of the raw materials into the furnace to control the liquid level in the furnace.

[0086] Computer program code for performing the operations of the present application may be written in one or more programming languages or combinations thereof. The programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., by connecting through an Internet service provider using the Internet).

[0087] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, may be implemented by a dedicated hardware-based system for performing the specified functions or operations, or may be implemented by a combination of dedicated hardware and computer instructions.

[0088] The modules involved in the embodiments of the present application can be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the unit itself.

[0089] The readable storage medium provided by the present application is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned kiln liquid level control method, which can solve the technical problem of the decline in the accuracy of kiln automatic control or process control. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as those of the kiln liquid level control method provided by the above embodiment, and will not be elaborated here.

[0090] The present application also provides a computer program product, including a computer program, and the steps of the above-mentioned kiln liquid level control method are implemented when the computer program is executed by a processor.

[0091] The computer program product provided by the present application can solve the technical problem of the decline in the accuracy of kiln automatic control or process control. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the kiln liquid level control method provided by the above embodiment, and will not be elaborated here.

[0092] The above are only some embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structural transformation made by using the content of the specification and drawings of the present application under the technical concept of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. A kiln liquid level control method, characterized in that: The method includes: Obtain the glass change of the glass liquid in the current kiln, the weight of the raw materials added to the kiln and the target discharge amount; Based on the glass change amount and the input weight, determine the adjustment range of the raw material input next time, and based on the input weight and the target output amount, determine the adjustment plan of the raw material input next time; Based on the adjustment scheme and the adjustment range, the upper limit and the lower limit of the raw material to be fed into the kiln next time are adjusted to control the liquid level in the kiln.

2. The method according to claim 1, characterized in that The step of determining an adjustment plan for the next input of the raw material based on the input weight and the target output volume comprises: Converting the feed weight into glass quantity to obtain a theoretical glass quantity to be produced based on the feed weight; Determine the weight difference between the theoretical glass amount and the target discharge amount; Based on the weight and the liquid level in the kiln, an adjustment plan for the next input of the raw materials is determined.

3. The method according to claim 2, characterized in that The adjustment scheme includes overall upward movement of the upper and lower limits of the raw materials, overall downward movement of the upper and lower limits of the raw materials, and PID adjustment of the upper and lower limits of the raw materials. The step of determining the adjustment scheme for the next input of the raw materials based on the weight and the liquid level in the kiln includes: If the theoretical glass amount is less than the target discharge amount and the liquid level in the kiln is higher than the preset target value, then determine the upper and lower limits of the next overall downward movement of the raw materials; If the theoretical glass amount is less than the target discharge amount and the liquid level is lower than the preset target value, the upper and lower limits of the next overall upward movement of the raw material are determined; If the theoretical glass amount is greater than the target discharge amount and the liquid level in the kiln is higher than the preset target value, the upper and lower limits of the next overall downward movement of the raw materials are determined; If the theoretical glass amount is greater than the target discharge amount and the liquid level is lower than the preset target value, then determine the upper and lower limits of the next overall upward movement of the raw material; If the difference between the theoretical glass amount and the target output amount is within a preset ratio, it is determined that the next adjustment of the raw material is based on the PID adjustment.

4. The method according to claim 2, characterized in that Before the step of converting the feed weight into glass quantity to obtain the theoretical glass quantity of glass produced based on the feed weight, the method comprises: Acquiring the property information of the raw material and the processing information of the raw material; The property information and processing information are corrected and evaluated based on a preset conversion evaluation model to obtain a conversion rate of producing glass according to the raw materials, wherein the preset conversion evaluation model is obtained after training a model to be trained, using the property information and normal processing information of historically processed raw materials as samples and the normal conversion rate corresponding to the property information and the normal processing information as a marker; The step of converting the feed weight into glass quantity to obtain the theoretical glass quantity of glass produced based on the feed weight comprises: The theoretical amount of glass produced based on the feed weight is obtained by multiplying the feed weight by the conversion rate.

5. The method according to claim 4, characterized in that The processing information at least includes the liquid level information and temperature information of the kiln, and before the step of obtaining the attribute information of the raw material and the processing information of processing the raw material, the step further includes: Obtain the attribute information of historically processed raw materials, the liquid level information and temperature information of the kiln in each processing time period, and the glass output in each time period; Filtering abnormal liquid level information that does not meet the set liquid level from the liquid level information; Determining corrected liquid level information corresponding to the abnormal liquid level information based on the glass output corresponding to the abnormal liquid level information; Training a first basic learning model based on the abnormal liquid level information and the corrected liquid level information to obtain a liquid level correction model; Based on the attribute information, the liquid level information satisfying the set liquid level, and the glass yield corresponding to the liquid level information, a second basic learning model is trained to obtain a yield estimation model; The liquid level correction model is integrated with the yield calculation model to obtain a preset conversion evaluation model.

6. The method according to claim 1, characterized in that The step of obtaining the glass change amount of the glass liquid in the current furnace comprises: Obtaining a first average liquid level of the glass liquid in the furnace in the current unit time, and a second average liquid level of the glass liquid in the furnace in the previous unit time; Based on the first average liquid level and the second average liquid level, the mass of the consumed glass is also calculated to obtain the glass change amount of the glass liquid in the current furnace.

7. A kiln liquid level control device, characterized in that: The device comprises: The acquisition module is used to obtain the glass change amount of the glass liquid in the current kiln, the weight of the raw materials added to the kiln and the target discharge amount; A determination module, used to determine the adjustment range of the raw material input next time based on the glass change amount and the input weight, and to determine the adjustment plan of the raw material input next time based on the input weight and the target output amount; The adjustment module is used to adjust the upper limit and the lower limit of the next raw material input into the kiln based on the adjustment scheme and the adjustment range, so as to control the liquid level in the kiln.

8. A kiln liquid level control device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the furnace liquid level control method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the kiln liquid level control method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the furnace liquid level control method according to any one of claims 1 to 6 are implemented.

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