Dynamic feeding control method and system for glass kiln, medium and electronic equipment

By monitoring the liquid level of the glass liquid in real time and dynamically optimizing the feed rate and gas actuator power, the problem of insufficient accuracy of the feed control of the glass kiln in the prior art is solved, and more stable liquid level control and higher production stability are achieved.

CN120058215APending Publication Date: 2025-05-30CHINA TRIUMPH INT ENG CO LTD
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Patent Information

Application Number
CN202510255772.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-05
Publication Date
2025-05-30

AI Technical Summary

Technical Problem

Existing glass kiln dynamic feeding control technology is difficult to achieve high-precision feeding, especially when facing complex operating conditions and external disturbances.

Method used

By using a liquid level sensor to monitor the liquid level height of the glass liquid in real time, and dynamically optimize the feeding speed and gas actuator power are controlled based on preset thresholds to adapt to changes under different working conditions.

Benefits of technology

High-precision control of the feeding process of the glass kiln is achieved, the stability of the glass liquid level and the stability of the production process are improved, and the liquid level out of control caused by disturbances is reduced.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention provides a dynamic feeding control method and system for a glass kiln, a medium and electronic equipment. The dynamic feeding control method for the glass kiln comprises the following steps: monitoring the liquid level height of molten glass in real time by using a liquid level sensor to obtain the liquid level height of the molten glass; and judging the height of the glass liquid level based on a preset upper limit threshold value of the glass liquid level and a preset lower limit threshold value of the glass liquid level, and carrying out dynamic optimization control on the feeding speed and the power of a gas actuator in the feeding process of the glass kiln based on a judgment result. By means of the dynamic feeding control method for the glass kiln, high-precision feeding of the glass kiln can be achieved.
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Description

Technical Field

[0001] This application belongs to the technical field of glass production, and relates to a dynamic feeding control method, system, medium and electronic device for a glass furnace. Background Art

[0002] A glass furnace is an industrial furnace used for producing glass, which can melt raw materials and convert them into liquid glass. Glass furnaces are usually designed to withstand high temperatures and maintain a stable temperature for a long time. A glass furnace mainly consists of a melting tank, regenerators, a chimney and other related equipment. The melting tank is the part of the furnace that holds the molten glass. Dynamic feeding means that during the glass production process, raw materials are continuously or intermittently fed into the melting tank through a feeder. The raw materials gradually melt in the melting tank to form liquid glass. The entire production process requires precise temperature control and quality monitoring to ensure the quality of the final product. Therefore, how to accurately control the dynamic feeding of the glass furnace has become one of the problems that need to be solved urgently at present. Summary of the Invention

[0003] The purpose of this application is to provide a dynamic feeding control method, system, medium and electronic device for a glass furnace, which is used to achieve highly accurate feeding of the glass furnace.

[0004] In a first aspect, this application provides a dynamic feeding control method for a glass furnace. The dynamic feeding control method for the glass furnace includes: using a liquid level sensor to monitor the liquid level height of the glass liquid in real time to obtain the liquid level height of the glass liquid; judging the glass liquid level height based on a preset upper threshold value of the glass liquid level and a preset lower threshold value of the glass liquid level, and dynamically optimizing and controlling the feeding speed and the power of the gas actuator during the feeding process of the glass furnace based on the judgment result.

[0005] In an implementation manner of the first aspect, the dynamic feeding control method for the glass furnace further includes: monitoring external disturbance factors during the feeding process of the glass furnace to obtain an external disturbance monitoring result; dynamically optimizing and controlling the feeding speed and the power of the gas actuator during the feeding process of the glass furnace based on the external disturbance monitoring result.

[0006] In an implementation manner of the first aspect, the process of dynamically optimizing and controlling the feeding speed and the power of the gas actuator during the feeding process of the glass furnace based on the external disturbance monitoring result includes: obtaining the fluctuation magnitude of the external disturbance factor; comparing the fluctuation magnitude with a preset fluctuation threshold value to obtain a threshold comparison result and the fluctuation direction of the external disturbance factor; optimizing and controlling the feeding speed and the power of the gas actuator based on the threshold comparison result and the fluctuation direction.

[0007] In an implementation manner of the first aspect, the process of optimizing the control of the feeding speed and the gas actuator power based on the threshold comparison result and the fluctuation direction includes: obtaining a disturbance rate adjustment coefficient and a disturbance power adjustment coefficient, where the disturbance rate adjustment coefficient is the adjustment coefficient of the external disturbance factor for the feeding speed, and the disturbance power adjustment coefficient is the adjustment coefficient of the external disturbance factor for the gas actuator power; when the fluctuation magnitude is greater than the preset fluctuation threshold and the fluctuation direction is positive, reducing the feeding speed and the gas actuator power; when the fluctuation magnitude is greater than the preset fluctuation threshold and the fluctuation direction is negative, increasing the feeding speed and the gas actuator power.

[0008] In an implementation manner of the first aspect, the process of optimizing the control of the glass furnace feeding based on the judgment result includes: when the height of the glass liquid level is less than and / or equal to the preset lower threshold of the glass liquid level, starting feeding and executing at a first feeding speed; where the process of obtaining the first feeding speed includes: obtaining a feeding rate adjustment coefficient, the current melting furnace temperature, the liquid level difference between the height of the glass liquid level and the preset lower threshold of the glass liquid level; obtaining the first feeding speed based on the basic feeding speed, the feeding rate adjustment coefficient, the current melting furnace temperature, and the liquid level difference.

[0009] In an implementation manner of the first aspect, the process of optimizing the control of the glass furnace feeding based on the judgment result includes: when the height of the glass liquid level is greater than and / or equal to the preset upper threshold of the glass liquid level, stopping feeding and executing at a second gas actuator power; where the process of obtaining the second gas actuator power includes: obtaining a melting speed adjustment coefficient and the liquid level difference between the height of the glass liquid level and the preset upper threshold of the glass liquid level; obtaining the second gas actuator power based on the melting speed adjustment coefficient, the liquid level difference, and the normal gas actuator power.

[0010] In an implementation manner of the first aspect, the process of optimizing the control of the glass furnace feeding based on the judgment result further includes: obtaining the dynamic change trend of the glass liquid level in the normal state, where the normal state is that the glass liquid level is between the preset upper threshold and the preset lower threshold of the glass liquid level; judging the dynamic change trend of the glass liquid level based on the liquid level change rate to obtain a dynamic change result; based on the dynamic change result, finely adjusting the feeding speed by using a change adjustment coefficient.

[0011] In a second aspect, the present application provides a dynamic feeding control system for a glass furnace. The dynamic feeding control system for the glass furnace includes: a data acquisition module, configured to use a liquid level sensor to monitor the liquid level height of the molten glass in real time and obtain the liquid level height of the molten glass; a process control and execution module, configured to judge the liquid level height of the molten glass based on a preset upper threshold value of the molten glass liquid level and a preset lower threshold value of the molten glass liquid level, and perform dynamic optimization control on the feeding speed and the power of the gas actuator during the feeding process of the glass furnace.

[0012] In a third aspect, the present application provides an electronic device. The electronic device includes: a memory, on which a computer program is stored; a processor, communicatively connected to the memory, configured to execute the computer program to implement the above-mentioned glass furnace dynamic feeding control method.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by an electronic device, the above-mentioned glass furnace dynamic feeding control method is implemented.

[0014] As described above, the glass furnace dynamic feeding control method, system, medium and electronic device of the present application have the following beneficial effects:

[0015] According to the above description, it can be known that the glass furnace dynamic feeding control method provided by the present application can monitor the liquid level height of the molten glass in real time, and use the dynamic characteristics of the molten glass to optimize the control design of the liquid level adjustment of the molten glass. Through the glass furnace dynamic feeding control method provided by the present application, the accuracy of the feeding of the glass furnace can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It shows a schematic diagram of an application scenario of the glass furnace dynamic feeding control method described in an embodiment of the present application.

[0017] Figure 2 It shows a schematic diagram of the process of the optimization control described in an embodiment of the present application.

[0018] Figure 3 It shows a schematic diagram of the process of performing dynamic optimization control based on the external disturbance monitoring result described in an embodiment of the present application.

[0019] Figure 4 It shows a schematic diagram of the process of the optimization control described in an embodiment of the present application.

[0020] Figure 5 It shows a schematic diagram of the structure of the glass furnace dynamic feeding control system described in an embodiment of the present application.

[0021] Figure 6 It shows a schematic diagram of the structure of the electronic device described in an embodiment of the present application.

[0022] Description of Component Labels

[0023] 1 Glass Furnace

[0024] 11 Batch Charger

[0025] 12 Liquid Level Gauge

[0026] 13 Melting Tank

[0027] 14 Alarm

[0028] 15 Gas Actuator

[0029] 2 Control System

[0030] 3 Dynamic Batch Charging Control System for Glass Furnace

[0031] 31 Data Acquisition Module

[0032] 32 Process Control and Execution Module

[0033] 4 Electronic Equipment

[0034] 41 Memory

[0035] 42 Processor

[0036] 43 Display

[0037] Steps S21 - S23

[0038] Steps S31 - S33 Detailed Implementation Modes

[0039] The following uses specific specific examples to illustrate the implementation modes of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific implementation modes, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that, without conflict, the following embodiments and the features in the embodiments can be combined with each other.

[0040] It should be noted that the drawings provided in the following embodiments only illustrate the basic concept of the present application in a schematic manner. Therefore, only the components related to the present application are shown in the drawings, rather than being drawn according to the number, shape, and size of the components in actual implementation. The type, quantity, and ratio of each component in actual implementation can be arbitrarily changed, and the component layout type may also be more complex.

[0041] A glass furnace is an industrial furnace used for glass production. It can melt raw materials and convert them into liquid glass. Glass furnaces are usually designed to withstand high temperatures and maintain a stable temperature over a long period. A glass furnace mainly consists of a melting tank, regenerators, a chimney, and other related equipment. The melting tank is the part of the furnace that holds the molten glass. Dynamic feeding refers to the process in glass production where raw materials are continuously or intermittently fed into the melting tank through a feeder. The raw materials gradually melt in the melting tank to form liquid glass. Precise temperature control and quality monitoring are required throughout the production process to ensure the quality of the final product.

[0042] There is a complex coupling relationship between variables such as the height of the glass liquid in the furnace, the feeding rate, the melting speed, and the temperature. It is difficult for traditional PID control to achieve high-precision liquid level control in the case of multiple variables and multiple constraints. In addition, the physical properties of the glass liquid (such as viscosity and fluidity) change significantly with temperature fluctuations. This dynamic characteristic requires the control system to have strong adaptability to cope with changes under different production conditions.

[0043] Secondly, the unpredictability of external disturbances brings additional complexity to liquid level control. For example, temperature fluctuations inside the furnace and changes in ambient air pressure, etc., will all disturb the liquid level. The randomness and nonlinearity of these factors exacerbate the difficulty of liquid level control, requiring the system to be able to monitor in real time and respond quickly to avoid the phenomenon of out-of-control liquid level caused by disturbances. In addition, measurement errors and data transmission delays of sensors may also have an adverse impact on the control effect and must be effectively compensated through system design.

[0044] Another technical difficulty is the real-time and precision of dynamic feeding control. The response speed of the feeding equipment directly affects the accuracy of liquid level regulation, while the thermal inertia of the glass liquid melting tank and the liquid diffusion characteristics make the impact of feeding on the liquid level have a lag. How to design a reasonable feeding strategy so that the system can quickly respond to liquid level changes and avoid secondary fluctuations caused by over-fast or over-slow feeding is an important challenge in the design of the control system.

[0045] At least for the above problems, the following embodiments of this application provide a method for dynamic feeding control of a glass furnace.

[0046] Next, the technical solutions in the embodiments of this application will be described in detail with reference to the accompanying drawings in the embodiments of this application.

[0047] Figure 1 Shown is a schematic diagram of an application scenario of the method for dynamic feeding control of a glass furnace in an embodiment of this application. As Figure 1As shown, the glass furnace 1 produces the liquid level of molten glass by feeding glass raw materials. The liquid level gauge 12 in the glass furnace 1 can collect the liquid level height of the molten glass, send the feeding data to the control system 2. The control system processes and analyzes the feeding data, generates an optimized control design strategy for feeding, and generates a control strategy instruction based on the optimized control design strategy for feeding to send to the glass furnace to control the feeder 11 and the gas actuator 15 of the glass furnace. At the same time, the real-time monitoring data of the temperature fluctuation in the melting tank of the glass furnace 1 is sent to the control system 2 for optimized decision-making. An alarm 14 is also provided in the glass furnace 1, which can perform operations such as alarming when the limit is exceeded.

[0048] In an embodiment of the present application, the dynamic feeding control method for the glass kiln includes the following steps S11 to S12.

[0049] Step S11, using a liquid level sensor to monitor the liquid level height of the molten glass in real time to obtain the liquid level height of the molten glass;

[0050] Step S12, judging the liquid level height of the glass based on a preset upper threshold value of the molten glass liquid level and a preset lower threshold value of the molten glass liquid level, and dynamically optimizing and controlling the feeding speed and the power of the gas actuator during the feeding process of the glass kiln based on the judgment result.

[0051] According to the above description, it can be seen that the dynamic feeding control method for the glass kiln provided by the present application can monitor the liquid level height of the molten glass in real time, and use the dynamic characteristics of the molten glass to optimize the control design of the liquid level adjustment of the molten glass. Through the dynamic feeding control method for the glass furnace provided by the present application, the accuracy of feeding the glass furnace can be improved.

[0052] In an embodiment of the present application, the process of optimizing and controlling the feeding process of the glass kiln based on the judgment result includes: when the liquid level height of the molten glass is less than and / or equal to the preset lower threshold value of the molten glass liquid level, start feeding and execute at a first feeding speed.

[0053] Exemplarily, when the liquid level of the molten glass is too low, it will affect the thermal balance of the melting tank and the continuity of the subsequent production process. At this time, it is necessary to start the feeding operation and adjust the feeding speed according to parameters such as the liquid level height of the molten glass, the preset lower threshold value of the molten glass liquid level, and the temperature of the melting tank.

[0054] Among them, the process of obtaining the first feeding speed includes:

[0055] Step S201, obtaining a feeding rate adjustment coefficient, the current temperature of the melting tank, and the liquid level difference between the liquid level height of the molten glass and the preset lower threshold value of the molten glass liquid level.

[0056] Exemplarily, the current melting pool temperature is T, the current height of the molten glass level is H, and the preset lower threshold of the molten glass level is H min , so the current liquid level difference is ΔH = H min -H, and the feeding rate adjustment coefficient k f can be expressed as:

[0057] k f (T, ΔH) = k f1 (T) × k f2 (ΔH)

[0058] wherein, k f1 (T) represents the influence function of temperature on the feeding speed adjustment, and k f2 (ΔH) represents the influence function of the liquid level difference on the feeding rate adjustment. In particular, the feeding rate adjustment coefficient k f can construct a specific functional relationship according to empirical data or experimental results, and this application is not limited thereto.

[0059] Step S202, obtain the first feeding speed based on the basic feeding speed, the feeding rate adjustment coefficient, the current melting pool temperature, and the liquid level difference.

[0060] Exemplarily, based on the basic feeding speed v feed0 , the feeding rate adjustment coefficient k f , the current melting pool temperature T, and the liquid level difference ΔH = H min -H, the first feeding speed v feed can be expressed as:

[0061] When H ≤ H min , v feed = v feed0 + k f (T, ΔH)

[0062] In an embodiment of the present application, the process of optimizing the control of the glass furnace feeding based on the judgment result includes: when the height of the molten glass level is greater than and / or equal to the preset upper threshold of the molten glass level, stop feeding and execute with the second gas actuator power.

[0063] Exemplarily, when the molten glass level is too high, there is a risk of molten glass overflow. Therefore, to ensure production safety, the feeding operation should be stopped immediately. At the same time, corresponding emergency measures are started to slow down the consumption of glass raw materials by adjusting the gas actuator power.

[0064] Among them, the process of obtaining the second gas actuator power includes:

[0065] Step S211, obtain the melting speed adjustment coefficient and the liquid level difference between the height of the molten glass liquid level and the upper threshold value of the preset molten glass liquid level.

[0066] Exemplarily, the current height of the molten glass liquid level is H, and the upper threshold value of the preset molten glass liquid level is H max , so the current liquid level difference is H - H max . The melting speed adjustment coefficient is k m , which can be determined according to the actual situation.

[0067] Step S212, based on the melting speed adjustment coefficient, the liquid level difference, and the normal gas actuator power, obtain the second gas actuator power.

[0068] Exemplarily, based on the melting speed adjustment coefficient k m , the liquid level difference H - H max , and the normal gas actuator power p melt0 , the second gas actuator power p melt can be expressed as:

[0069] p melt = p melt0 - k m (H - H max )

[0070] Figure 2 Shown is a schematic diagram of the optimization control process in an embodiment of the present application. As Figure 2 shown, the process of optimizing the control of the glass furnace feeding based on the judgment result further includes the following steps S21 to S23.

[0071] Step S21, obtain the dynamic change trend of the molten glass liquid level in the normal state, where the normal state is that the molten glass liquid level is between the upper threshold value and the lower threshold value of the preset molten glass liquid level.

[0072] Exemplarily, when the height of the molten glass liquid level is between the upper threshold value and the lower threshold value of the preset molten glass liquid level, the height of the molten glass liquid level is within the normal range, and at this time, fine-tuning control still needs to be performed according to the change trend of the liquid level.

[0073] Step S22, based on the liquid level change rate, judge the dynamic change trend of the molten glass liquid level to obtain a dynamic change result. Among them, the liquid level change rate reflects the change rate of the molten glass liquid level.

[0074] Exemplarily, the liquid level change rate of the molten glass liquid can be expressed as:

[0075]

[0076] Predict the change trend of the molten glass level in advance through the change rate of the molten glass level, judge the dynamic change trend of the molten glass level to obtain the dynamic change result of the molten glass level, and fine-tune actions such as the feeding speed according to the dynamic change result. Specifically, it is shown as follows:

[0077] If That is, when the molten glass level shows an upward trend, it means that the feeding rate can be appropriately reduced.

[0078] If That is, when the molten glass level shows a downward trend, it means that the feeding rate can be appropriately increased.

[0079] Step S23, based on the dynamic change result, fine-tune the feeding speed by using the change adjustment coefficient.

[0080] Exemplarily, when fine-tuning the feeding speed for the dynamic change trend when the molten glass level is within the normal range, its optimized control of the feeding speed can be expressed as:

[0081] When H min <H < H max And At this time,

[0082] When H min <H < H max And At this time,

[0083] Among them, k adj Represents the change adjustment coefficient.

[0084] Through the optimized control design of the molten glass level height, the safe range [H min , H max of the liquid level H and the feeding speed adjustment logic in different states are defined, realizing the dynamic response in different liquid level states. When the molten glass level approaches the preset upper threshold H max of the molten glass, the feeding speed v feed is gradually reduced according to the optimized design of the height control to avoid overshoot of the liquid level; when the molten glass level approaches the preset lower threshold H min of the molten glass, the system gradually increases v feed to ensure that the molten glass level in the melting tank is maintained within a stable range. This control strategy based on the optimized design can dynamically adjust the feeding behavior, reduce the amplitude of the liquid level fluctuation, and improve the liquid level stability.

[0085] In addition to directly controlling the molten glass level, the optimized design adjustment also considers the power v melt of the gas actuator and its influencing factors. For example, the melting speed v meltSignificantly affected by the temperature change of the molten glass. When the sensor monitors an increase in the temperature of the melting tank, the system determines an increase in the melting rate through optimized control design and automatically reduces the feeding rate v feed ; conversely, when the temperature decreases, the system increases the feeding rate to maintain the liquid level balance. In addition, in view of the time lag of the feeding adjustment, the optimized control design system further optimizes by combining the change rate of the molten glass liquid level ΔH / Δt, predicts the liquid level trend in advance and takes corresponding feeding actions, thereby effectively alleviating the liquid level fluctuation problem caused by the lag.

[0086] In the feeding control of the glass furnace, the external disturbance factors are essentially multi-dimensional, time-varying, and non-linear disturbance sources, which will affect the molten glass liquid level through multiple paths such as thermodynamics, fluid mechanics, and chemical reactions. When the influence caused by the external disturbance exceeds the process allowable range, it will cause losses to the feeding production process of the glass furnace.

[0087] In an embodiment of the present application, the dynamic feeding control method of the glass furnace further includes the following steps S301 to step S302.

[0088] Step S301, monitor the external disturbance factors during the feeding process of the glass furnace to obtain the external disturbance monitoring results. The external disturbance factors are, for example, temperature fluctuations in the glass furnace.

[0089] Step S302, based on the external disturbance monitoring results, perform dynamic optimization control on the feeding rate and the power of the gas actuator during the feeding process of the glass furnace.

[0090] Figure 3 Shown is a schematic diagram of the process of dynamic optimization control based on the external disturbance monitoring results in an embodiment of the present application. As Figure 3 shown, the process of performing dynamic optimization control on the feeding rate and the power of the gas actuator during the feeding process of the glass furnace based on the external disturbance monitoring results includes the following steps S31 to step S33.

[0091] Step S31, obtain the fluctuation magnitude of the external disturbance factor.

[0092] Exemplarily, use a monitoring device to monitor the temperature in the glass furnace, and obtain the temperature of the glass furnace during normal operation as T 0 , when fluctuations occur, the temperature fluctuation magnitude is ΔT.

[0093] Step S32, compare the fluctuation magnitude with a preset fluctuation threshold to obtain the threshold comparison result and the fluctuation direction of the external disturbance factor.

[0094] Exemplarily, the preset fluctuation threshold set for temperature fluctuations is ΔT max, compare the magnitude of the fluctuation ΔT with the preset fluctuation threshold ΔT max to obtain the fluctuation direction of the temperature based on the magnitude of the current temperature fluctuation.

[0095] Step S33, optimize and control the feeding speed and the power of the gas actuator based on the threshold comparison result and the fluctuation direction.

[0096] Figure 4 Shown is a schematic diagram of the optimization control process in an embodiment of the present application. As Figure 4 shown, the process of optimizing and controlling the feeding speed and the power of the gas actuator based on the threshold comparison result and the fluctuation direction includes the following steps S41 to S43.

[0097] Step S41, obtain a disturbance rate adjustment coefficient and a disturbance power adjustment coefficient. The disturbance rate adjustment coefficient is the adjustment coefficient of the external disturbance factor to the feeding speed, and the disturbance power adjustment coefficient is the adjustment coefficient of the external disturbance factor to the power of the gas actuator.

[0098] Step S42, when the magnitude of the fluctuation is greater than the preset fluctuation threshold and the fluctuation direction is positive, reduce the feeding speed and the power of the gas actuator.

[0099] Step S43, when the magnitude of the fluctuation is greater than the preset fluctuation threshold and the fluctuation direction is negative, increase the feeding speed and the power of the gas actuator.

[0100] Exemplarily, when the absolute value |ΔT| of the magnitude of the fluctuation exceeds the preset fluctuation threshold ΔT max , optimize and control the feeding speed and the power of the gas actuator according to the fluctuation direction of the temperature. Specifically, when the fluctuation direction is positive, i.e., ΔT>0, in order to prevent the liquid level from rising too fast due to the enhanced fluidity caused by the temperature increase, appropriately reduce the feeding speed and the power of the gas actuator. When the fluctuation direction is negative, i.e., ΔT<0, appropriately increase the feeding speed and the power of the gas actuator.

[0101] Specifically, the adjustment coefficient of the temperature disturbance to the feeding speed can be expressed as k Tf , and the adjustment coefficient of the temperature disturbance to the power of the gas actuator can be expressed as k Tm . Therefore, the adjustment of the feeding speed and the power of the gas actuator based on the temperature disturbance can be expressed as:

[0102] When |ΔT|>ΔT max and ΔT>0, v feed =v feed0 -k Tf ΔT, p melt =p melt0 -kTm ΔT

[0103] When |ΔT| > ΔT max and ΔT < 0, v feed = v feed0 + k Tf |ΔT|, p melt = p melt0 + k Tm |ΔT|

[0104] In an embodiment of the present application, the process of dynamically optimizing and controlling the feeding speed and the power of the gas actuator during the feeding process of the glass furnace further includes: optimizing the feeding degree and the power of the gas actuator during the feeding process of the glass furnace by using a multi-level priority sorting mechanism.

[0105] Exemplarily, when the glass liquid exceeds the upper and lower limit thresholds of the preset glass liquid level, the liquid level height of the glass liquid is preferentially controlled to ensure production safety. On the premise that the requirement of the glass liquid level height is met, the feeding speed and the power of the gas actuator are adjusted according to the change of the temperature of the glass liquid in the melting tank. The robustness in the multi-variable dynamic control process is enhanced through the multi-level optimization design. At the same time, the optimization process is improved by continuously updating and analyzing the historical data, increasing the adaptability and effectiveness of the control strategy.

[0106] In an embodiment of the present application, the instruction generated after optimizing the control of the feeding process of the glass furnace is mapped to the feeding equipment, and the feeding equipment makes a dynamic response according to different working conditions.

[0107] Exemplarily, when the fluctuation of the glass liquid level is small, the feeding equipment makes small adjustments to maintain stability; while in the case of external disturbances or rapid changes in the melting speed, the system quickly adjusts the feeding speed according to the optimized control design to avoid the liquid level deviating too much from the target range. The feeding system after the optimized control design can realize the real-time adjustment of the feeding speed and the precise dynamic response under different working conditions.

[0108] In an embodiment of the present application, the dynamic feeding control method for the glass furnace of the present application integrates hardware configuration and software. The hardware configuration includes a liquid level gauge, a controller, a feeder, and a gas actuator. The liquid level gauge is used to measure and collect the liquid level of the glass melt, the feeder is used to feed glass raw materials into the furnace, and the gas actuator is used to adjust the melting speed. Through a high-performance analog-to-digital converter and a controller, high-sampling-rate and low-latency data transmission are achieved, and combined with an optimized circuit design and a high-speed communication interface, the data is uploaded to the controller. The feeding equipment adopts a precisely designed adjustable speed device to ensure the dynamic response and precise adjustment of the feeding process. At the same time, the present application is also provided with an alarm mechanism, which is connected to the control module through a reliable communication protocol and has functions of fault detection and audible and visual alarms, providing guarantee for the safety of the system operation.

[0109] The software part is developed based on the Python programming language and is responsible for the implementation of the optimized control design and the design of the operation interface. The data structure of Python is used to store and manage the optimized control design strategy. By logical reasoning and algorithm analysis of sensor data, decisions on the optimization control of the feeding and the power of the gas actuator are intelligently generated. The control algorithm is based on the real-time input of liquid level and temperature data, and combines the logical processing of external disturbances in the optimized design rule base to achieve precise regulation. The human-machine interaction interface is developed using the Python graphics library and has functions of real-time displaying key parameters, setting control thresholds, viewing historical data and alarm records, and at the same time supports manual intervention operations in case of emergencies, greatly improving the practicability and operation convenience of the system.

[0110] In summary, the dynamic feeding control method for the glass furnace provided by the present application can optimize the control design of the feeding process of the glass furnace to dynamically adjust the control strategy to adapt to complex working condition changes. According to the dynamic characteristics of the glass melt and the process requirements, the key parameters in the liquid level adjustment process are optimized in real time, thus overcoming the deficiencies of the traditional PID control in nonlinear systems. At the same time, through the analysis and optimization update of historical data, the system has the ability of learning and improvement, and can continuously improve the robustness to disturbances and the adaptability to multi-variable dynamic changes. Through the above optimized design of liquid level monitoring and control, the dynamic optimization control of process parameters such as the feeding speed and the power of the gas actuator can be realized according to the real-time state, change trend of the glass melt liquid level and external disturbance conditions, so as to ensure the stability of the glass melt liquid level in a complex production environment and improve the stability of the glass production process and the product quality.

[0111] The protection scope of the dynamic feeding control method for the glass furnace described in the embodiment of the present application is not limited to the execution order of the steps listed in this embodiment. Any scheme realized by adding or reducing steps of the prior art and replacing steps according to the principle of the present application is included in the protection scope of the present application.

[0112] The embodiment of the present application further provides a dynamic feeding control system for a glass furnace. The dynamic feeding control system for the glass furnace can implement the dynamic feeding control method for the glass furnace described in the present application. However, the implementation devices of the dynamic feeding control method for the glass furnace described in the present application include, but are not limited to, the structures of the dynamic feeding control system for the glass furnace listed in this embodiment. Any structural deformation and replacement of the prior art made according to the principle of the present application are included in the protection scope of the present application.

[0113] Figure 5 It is shown as the structural schematic diagram of the dynamic feeding control system for a glass furnace in an embodiment of the present application. As Figure 5 shown, the dynamic feeding control system 3 for the glass furnace includes: a data acquisition module 31 and a process control and execution module 32. Among them, the data acquisition module 31 is used to monitor the liquid level height of the glass liquid in real time by using a liquid level sensor to obtain the liquid level height of the glass liquid. The process control and execution module 32 is used to judge the glass liquid level height based on a preset upper threshold value of the glass liquid level and a preset lower threshold value of the glass liquid level, and perform dynamic optimization control on the feeding speed and the power of the gas actuator during the feeding process of the glass furnace.

[0114] It should be noted that Figure 5 each module in the shown dynamic feeding control system 3 for the glass furnace corresponds one by one to steps S11 to S12 in the dynamic feeding control method for the glass furnace, which will not be elaborated here.

[0115] In several embodiments provided by the present application, it should be understood that the disclosed system, device or method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of modules / units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of devices or modules or units can be in an electrical, mechanical or other forms.

[0116] The module / unit described as a separate component may or may not be physically separated. The component shown as a module / unit may or may not be a physical module, that is, it may be located in one place or distributed across multiple network units. Some or all of the modules / units can be selected according to actual needs to achieve the objectives of the embodiments of the present application. For example, in various embodiments of the present application, each functional module / unit can be integrated into a processing module, or each module / unit can exist physically alone, or two or more modules / units can be integrated into one module / unit.

[0117] Those of ordinary skill in the art should further realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. To clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described according to functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present application.

[0118] The embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the dynamic feeding control method for a glass furnace provided by the embodiments of the present application. Those of ordinary skill in the art can understand that all or part of the steps in the methods of the above embodiments can be completed by instructing a processor through a program. The program can be stored in a computer-readable storage medium. The storage medium is a non-transitory medium, such as a random access memory, a read-only memory, a flash memory, a hard disk, a solid-state drive, a magnetic tape, a floppy disk, an optical disc, and any combination thereof. The above storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that includes one or more integrated available media. The available medium can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a digital video disc (DVD)), or a semiconductor medium (such as a solid-state disk (SSD)), etc.

[0119] The embodiments of the present application can also provide an electronic device. Figure 6 Shown is a schematic structural diagram of the electronic device 4 in an embodiment of the present application. As Figure 6 shown, in this embodiment, the electronic device 4 includes a memory 41 and a processor 42.

[0120] The memory 41 is used to store computer programs. In some possible implementation manners, the memory 41 may include various media capable of storing program codes, such as ROM, RAM, magnetic disks, USB flash drives, memory cards, or optical discs.

[0121] In the embodiments of the present application, the memory 41 may include a computer system-readable medium in the form of volatile memory, such as RAM and / or cache memory. The electronic device 4 may further include other removable / non-removable, volatile / non-volatile computer system storage media. The memory 41 may include at least one program product having a set (for example, at least one) of program modules configured to perform the functions of the embodiments of the present application.

[0122] The processor 42 is connected to the memory 41 and is configured to execute the computer program stored in the memory 41, so that the electronic device 4 executes the dynamic feeding control method for the glass furnace.

[0123] Exemplarily, the processor 42 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc. In other embodiments, the processor 42 may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0124] In some implementation manners, the electronic device 4 provided in the embodiments of the present application may further include a display 43. The display 43 is communicatively connected to the memory 41 and the processor 42 and is configured to display a relevant graphical user interface (GUI) of the dynamic feeding control method for the glass furnace.

[0125] In the embodiments of the present application, the display 43 may include a display screen (display panel). In some implementations, the display panel may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), etc. In addition, the display 43 may also be a touch panel (touch screen, touch display screen), and the touch panel may include a display screen and a touch-sensitive surface. When the touch-sensitive surface detects a touch operation on or near it, it is transmitted to the processor 42 to determine the type of touch event, and then the processor 42 provides a corresponding visual output on the display device according to the type of touch event.

[0126] The descriptions of the processes or structures corresponding to the above respective drawings have different focuses. For parts not detailed in a certain process or structure, reference may be made to the relevant descriptions of other processes or structures.

[0127] The above embodiments are only illustrative of the principles and effects of the present application, and are not used to limit the present application. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed in the present application should still be covered by the claims of the present application.

Claims

1. A dynamic feeding control method for a glass furnace, characterized in that: The glass furnace dynamic feeding control method comprises: The liquid level sensor is used to monitor the liquid level of the glass liquid in real time to obtain the liquid level of the glass liquid; The glass liquid level height is judged based on a preset glass liquid level upper limit threshold and a preset glass liquid level lower limit threshold, and the feeding speed and gas actuator power during the glass furnace feeding process are dynamically optimized and controlled based on the judgment result.

2. The dynamic feeding control method for a glass furnace according to claim 1, characterized in that: The glass furnace dynamic feeding control method also includes: Monitor external disturbance factors during the glass furnace charging process to obtain external disturbance monitoring results; Based on the external disturbance monitoring results, the feeding speed and gas actuator power in the glass furnace feeding process are dynamically optimized and controlled.

3. The dynamic feeding control method for a glass furnace according to claim 2, characterized in that: The process of dynamically optimizing the feeding speed and gas actuator power during the feeding process of the glass furnace based on the external disturbance monitoring result includes: Obtain the fluctuation size of external disturbance factors; Comparing the fluctuation magnitude with a preset fluctuation threshold, obtaining a threshold comparison result and a fluctuation direction of the external disturbance factor; The feeding speed and the gas actuator power are optimally controlled based on the threshold comparison result and the fluctuation direction.

4. The dynamic feeding control method for a glass furnace according to claim 3, characterized in that: The process of optimizing the feeding speed and the gas actuator power based on the threshold comparison result and the fluctuation direction includes: Obtaining a disturbance rate adjustment coefficient and a disturbance power adjustment coefficient, wherein the disturbance rate adjustment coefficient is an adjustment coefficient of the external disturbance factor on the feeding speed, and the disturbance power adjustment coefficient is an adjustment coefficient of the external disturbance factor on the power of the gas actuator; When the fluctuation magnitude is greater than the preset fluctuation threshold and the fluctuation direction is positive, reducing the feeding speed and the gas actuator power; When the fluctuation magnitude is greater than the preset fluctuation threshold and the fluctuation direction is negative, the feeding speed and the gas actuator power are increased.

5. The dynamic feeding control method for a glass furnace according to claim 1, characterized in that: The process of optimizing and controlling the feeding process of the glass furnace based on the judgment results includes: When the height of the glass liquid level is less than and / or equal to the preset glass liquid level lower limit threshold, starting feeding and executing at a first feeding speed; The process of obtaining the first feeding speed includes: Obtaining a feed rate adjustment coefficient, a current melting pool temperature, and a level difference between the glass liquid level height and a preset glass liquid level lower limit threshold; The first feeding speed is obtained based on the basic feeding speed, the feeding rate adjustment coefficient, the current melting pool temperature, and the liquid level difference.

6. The dynamic feeding control method for a glass furnace according to claim 1, characterized in that: The process of optimizing and controlling the feeding process of the glass furnace based on the judgment results includes: When the height of the glass liquid level is greater than and / or equal to the preset glass liquid level upper limit threshold, the feeding is stopped and the second gas actuator power is used for execution; The process of obtaining the power of the second gas actuator includes: Obtaining a melting speed adjustment coefficient and a level difference between the glass liquid level height and the preset glass liquid level upper limit threshold; The second gas actuator power is obtained based on the melting speed adjustment coefficient, the liquid level difference, and the normal gas actuator power.

7. The dynamic feeding control method for a glass furnace according to claim 1, characterized in that: The process of optimizing and controlling the glass furnace charging process based on the judgment results also includes: Acquire a dynamic change trend of the glass liquid level in a normal state, wherein the normal state is that the glass liquid level is between the preset glass liquid level upper limit threshold and the preset glass liquid level lower limit threshold; Judging the dynamic change trend of the glass liquid level based on the liquid level change rate to obtain a dynamic change result; Based on the dynamic change result, the feeding speed is fine-tuned using the change adjustment coefficient.

8. A dynamic feeding control system for a glass furnace, characterized in that: The glass furnace dynamic feeding control system comprises: A data acquisition module is used to monitor the liquid level of the glass liquid in real time using a liquid level sensor to obtain the liquid level of the glass liquid; The process control and execution module is used to judge the glass liquid level based on a preset glass liquid level upper limit threshold and a preset glass liquid level lower limit threshold, and dynamically optimize the feeding speed and gas actuator power during the glass furnace feeding process based on the judgment result.

9. An electronic device, characterized in that: The electronic device comprises: a memory having a computer program stored thereon; A processor is communicatively connected to the memory and is used to execute the computer program to implement the dynamic feeding control method for a glass furnace according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by an electronic device, the dynamic feeding control method for a glass furnace according to any one of claims 1 to 7 is implemented.