Super-white rolled glass melting furnace temperature control system and method based on self-adaptive control

Abstract

The invention provides an ultra-white rolled glass melting furnace temperature control system and method based on adaptive control. The ultra-white rolled glass melting furnace temperature control system comprises a furnace body, a combustion module, a temperature measurement and data acquisition module, a control module and a cooling module, a plurality of small furnaces are arranged on the furnace body, and a plurality of small furnace flaming points are arranged in the furnace body; the combustion module is arranged on the furnace body, and a flow control valve for controlling fuel flow is arranged in the combustion module; the temperature measurement and data acquisition module is arranged on the furnace body, the temperature measurement and data acquisition module comprises a temperature measurement assembly and a data transmission assembly, and the temperature measurement assembly is arranged in the furnace body and used for collecting temperature parameters of the furnace body and feeding the temperature parameters back to the control module through the data transmission assembly. According to the method, the thermal dynamic model in the furnace body is constructed, the online parameter identification and the self-adaptive control algorithm are combined, the dynamic response characteristics of the system are optimized, and the temperature control precision and the energy efficiency utilization rate of the melting furnace are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of glass production equipment, and particularly to a temperature control system and method for an ultra-clear calendered glass melting furnace based on adaptive control. Background Art

[0002] The operating characteristics of a furnace are mainly reflected in its dynamic characteristics, non-linearity, and time-varying nature. First of all, the dynamic characteristics of the furnace are manifested in the transfer delay and inertial effect of temperature changes. Due to the slow speed of heat conduction and thermal radiation inside the furnace chamber, it takes a certain amount of time for the heat released by combustion at the flame injection point to cause a temperature change at the temperature measurement point. This transfer delay poses difficulties for the design of the control system. In addition, the furnace has a large thermal inertia, and the process of temperature change is often relatively slow, which requires the control system to comprehensively consider the dynamic process of temperature change during adjustment. Secondly, the furnace has significant non-linear characteristics. The relationship between the fuel combustion rate and temperature change is not linear. Especially in the high-temperature region, the changes in combustion efficiency and heat loss rate make the non-linear characteristics of the system more complex. Finally, the operating characteristics of the furnace also have strong time-varying nature. With the adjustment of the production process or the change of environmental conditions, the fuel composition, heat transfer efficiency, and cooling air speed may change significantly, requiring the system model and control parameters to be updated in real time.

[0003] The traditional PID controller is widely used in the hot-end process control of glass factories due to its simple implementation and reliable operation. However, in complex dynamic systems, its performance depends on precise adjustment of control parameters and it has insufficient response capabilities to the non-linear and time-varying characteristics of the system. Therefore, it is necessary to design a temperature control system and method for an ultra-clear calendered glass melting furnace based on adaptive control, which can accurately control the temperature of the furnace and improve the utilization rate of fuel. Summary of the Invention

[0004] In view of the above-mentioned disadvantages of the prior art, the purpose of the present invention is to provide a temperature control system and method for an ultra-clear calendered glass melting furnace based on adaptive control, which can realize dynamic adjustment of the fuel flow rate and cooling fans, keep the furnace temperature stable within the error range of the target value, optimize the dynamic response characteristics of the system by constructing a furnace thermal dynamics model and combining online parameter identification and adaptive control algorithms, thereby improving the temperature control accuracy of the furnace and the utilization rate of fuel, and solving the problems of low adjustment accuracy and insufficient adjustment response ability in the prior art.

[0005] To achieve the above and other related objectives, the present invention provides a temperature control system for an ultra-clear calendered glass melting furnace based on adaptive control, which includes a furnace body, a combustion module, a temperature measurement and data acquisition module, a control module, and a cooling module; a plurality of small furnaces are provided on the furnace body, and a plurality of small furnace flame spraying points are provided inside the furnace body; the combustion module is arranged on the furnace body, and a flow control valve for controlling the fuel flow is arranged in the combustion module; the temperature measurement and data acquisition module is arranged on the furnace body, and the temperature measurement and data acquisition module includes a temperature measurement component and a data transmission component, the temperature measurement component is arranged inside the furnace body to collect the temperature parameters of the furnace body and feedback them to the control module through the data transmission component; the cooling module is arranged on the furnace body, and the combustion module, the temperature measurement and data acquisition module, and the cooling module are all connected to the control module; the temperature measurement and data acquisition module measures the temperature parameters inside the furnace body and transmits them to the control module, the control module receives the temperature parameters and processes them, and then issues corresponding control instructions to adjust the flow control valve and the cooling module to realize the adjustment of the temperature inside the furnace body.

[0006] Preferably, an algorithm model is set in the control module for converting the received temperature parameters into corresponding control instructions; the algorithm model includes a multivariable coupling model, and the formula of the multivariable coupling model is as follows:

[0007]

[0008] Among them, C i is the heat capacity of the i-th area; is the rate of change of temperature; η(T(t)) represents the combustion efficiency, which is non-linearly related to the furnace body temperature T(t); H is the lower calorific value of the fuel; F(t) is the instantaneous fuel flow; k is the thermal conductivity of the furnace wall material of the furnace body; A is the effective heat transfer area of the furnace wall; T amb is the ambient temperature; M ij represents the heat radiation or convection coupling coefficient between small furnace i and small furnace j; Q fan,i (t) represents the influence of the cooling module on the temperature of the furnace body area between small furnace i and small furnace j.

[0009] Preferably, the cooling module includes a cooling fan, and the calculation formula of Q fan,i (t) in the multivariable coupling model is as follows:

[0010] Q fan (t) = h·A fan ·(T(t) - T amb );

[0011] Among them, h is the convective heat transfer coefficient; A fan is the heat transfer area affected by the cooling fan, and the fan speed and air volume will directly affect the magnitude of h; Tamb is the ambient temperature.

[0012] Preferably, the algorithm model further includes a temperature dynamic differential equation of a variable coupling model, and the temperature dynamic differential equation is as follows:

[0013]

[0014] Wherein, is the rate of change of temperature with time; a(T(t)) is the combustion efficiency varying with temperature; F(t) is the instantaneous flow rate of fuel; b(T(t)) is the cooling air cooling efficiency coefficient varying with temperature; W(t) is the wind speed of the cooling fan; c(T(t)) is the heat radiation or convection coupling coefficient between small furnace i and small furnace j; T(t) is the furnace body temperature; d(t) is the total disturbance of the heat loss of the furnace wall of the furnace body.

[0015] Preferably, the algorithm model further includes a state space equation of the temperature dynamic differential equation, and the state space equation is as follows:

[0016]

[0017] Wherein, x(t) is the state variable, let x(t) = T(t); u(t) is the input variable, let c(T(t)) is the heat radiation or convection coupling coefficient between small furnace i and small furnace j; d(t) is the total disturbance of the heat loss of the furnace wall of the furnace body.

[0018] Preferably, the algorithm model further includes the design of adaptive laws for parameters a(T(t)), b(T(t)), and c(T(t)), so that the adaptive laws of parameters a(T(t)), b(T(t)), and c(T(t)) satisfy the stability of the ultra-white calendering glass melting furnace temperature control system with adaptive control.

[0019] Preferably, the design of the adaptive laws for parameters a(T(t)), b(T(t)), and c(T(t)) is based on the Lyapunov stability theory; wherein the adaptive law of parameter a(T(t)) is The adaptive law of parameter b(T(t)) is The adaptive law of parameter c(T(t)) is

[0020] are the estimated values of parameters a, b, and c respectively; γ a 、γ b 、γ c are all positive definite constants; e is the output error; F is the flow rate of fuel, W is the wind speed of the cooling fan, and T is the temperature inside the furnace body.

[0021] Preferably, the algorithm model further includes the design of a control law; according to the identification result obtained from the adaptation law, the formula of the control law is designed as:

[0022]

[0023] where F(t) is the instantaneous fuel flow rate; is the combustion efficiency of the fuel varying with temperature; is the cooling air cooling efficiency coefficient varying with temperature; W(t) is the wind speed of the cooling fan; is the heat radiation or convection coupling coefficient between small furnace i and small furnace j; T(t) is the furnace body temperature; d(t) is the total disturbance of the furnace wall heat loss of the furnace body.

[0024] To achieve the above object or other objects, the present invention also discloses a method for controlling the temperature of an ultra-clear calendering glass melting furnace based on adaptive control. Using the above-mentioned temperature control system for an ultra-clear calendering glass melting furnace based on adaptive control, the steps are as follows:

[0025] S1: Install the combustion module, the temperature measurement and data acquisition module, and the cooling module on the furnace body, and communicatively connect the combustion module, the temperature measurement and data acquisition module, and the cooling module to the control module;

[0026] S2: The fuel is ignited in the furnace body through the combustion module and the small furnace spout, and the temperature measurement and data acquisition module real-time collects the temperature parameters in the furnace body and feeds the temperature parameters back to the control module;

[0027] S3: After receiving the temperature parameters fed back by the temperature measurement and data acquisition module, the control module processes the temperature parameters and compares them with the set temperature parameters, and issues an instruction command according to the comparison result to adjust the working states of the flow control valve and the cooling module, so as to realize the adjustment of the temperature in the furnace body.

[0028] Preferably, a multivariable coupling model is set in the control module in step S3. The control law for the fuel flow rate is deduced through the multivariable coupling model, and the control module adjusts the opening degree of the flow control valve according to the control law of the fuel flow rate, so as to realize the adjustment of the temperature in the furnace body.

[0029] As described above, the temperature control system and method for an ultra-clear calendering glass melting furnace based on adaptive control according to the present invention have the following beneficial effects:

[0030] 1. The present invention can realize the dynamic adjustment of the fuel flow rate and the cooling module, so that the temperature in the furnace body is stabilized at the target value (1700 °C). By constructing a thermodynamics model in the furnace body, combining online parameter identification and an adaptive control algorithm, the dynamic response characteristics of the system are optimized, and the temperature control accuracy and energy efficiency utilization rate of the melting furnace are improved.

[0031] 2. By identifying the dynamic characteristics of the control system in real time, the present invention can effectively address the challenges of parameter changes in the furnace body temperature control. Compared with traditional control strategies, adaptive control has significant advantages. Adaptive control does not rely on an accurate prior model and can dynamically adjust the parameters in the control module according to the actual working conditions during operation, so as to maintain good control performance even when the system parameters change greatly. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 FIG. is a schematic structural diagram of the furnace body of the ultra-white calendering glass melting furnace temperature control system based on adaptive control according to the present invention;

[0033] Figure 2 FIG. is a schematic diagram of the furnace body temperature simulation of the ultra-white calendering glass melting furnace temperature control system based on adaptive control according to the present invention.

[0034] DESCRIPTION OF THE REFERENCE NUMERALS:

[0035] 1. Furnace body; 2. Burner port; 3. Burner firing point. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The following specific embodiments illustrate the implementation manners of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification.

[0037] It should be noted that the structures, ratios, sizes, etc. shown in the drawings of this specification are only used to cooperate with the content disclosed in the specification for those skilled in the art to understand and read, and are not used to limit the limiting conditions under which the present invention can be implemented. Therefore, they do not have any technical essence. Any modification of the structure, change of the proportional relationship or adjustment of the size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should still fall within the scope covered by the technical content disclosed in the present invention. At the same time, the terms such as "upper", "lower", "left", "right", "middle" and "one" cited in this specification are only for the convenience of description and are not used to limit the scope under which the present invention can be implemented. The change or adjustment of their relative relationships, without substantial change in the technical content, should also be regarded as the scope within which the present invention can be implemented.

[0038] Such as Figure 1 、 Figure 2As shown in the figure, the present invention provides a temperature control system for an ultra-clear calendered glass melting furnace based on adaptive control (hereinafter referred to as the melting furnace temperature control system), which includes a furnace body 1, a combustion module, a temperature measurement and data acquisition module, a control module, and a cooling module; several small furnaces 2 are arranged on the furnace body 1, and several small furnace flame spraying points 3 are arranged inside the furnace body 1; the combustion module is arranged on the furnace body 1, and a flow control valve for controlling the fuel flow is arranged in the combustion module; the temperature measurement and data acquisition module is arranged on the furnace body 1, and the temperature measurement and data acquisition module includes a temperature measurement component and a data transmission component. The temperature measurement component is arranged inside the furnace body 1 to collect the temperature parameters of the furnace body 1 and feedback them to the control module through the data transmission component; the cooling module is arranged on the furnace body 1, and the combustion module, the temperature measurement and data acquisition module, and the cooling module are all communicatively connected to the control module; the temperature measurement and data acquisition module measures the temperature parameters inside the furnace body 1 and transmits them to the control module. The control module receives the temperature parameters and processes them, and then issues corresponding control instructions to adjust the flow control valve and the cooling module to realize the regulation of the temperature inside the furnace body 1.

[0039] The temperature control system for the ultra-clear calendered glass melting furnace based on adaptive control involved in the present invention detects the temperature parameters inside the furnace body 1 in real time through the temperature measurement and data acquisition module and transmits them to the control module. The control module receives the temperature parameters and processes them, and then issues corresponding control instructions to adjust the flow control valve and the cooling module to realize the regulation of the temperature inside the furnace body 1.

[0040] In this embodiment, the furnace body 1 is the core part of the kiln, usually composed of high-temperature resistant materials, which can effectively resist thermal stress and chemical corrosion in a high-temperature environment. A plurality of small furnace flame spraying points 3 are arranged inside the furnace body 1, and these small furnace flame spraying points 3 are symmetrically distributed, and can work independently or cooperatively to ensure uniform temperature distribution inside the furnace body 1.

[0041] The combustion module is the main source of temperature inside the furnace body 1, and its fuel is usually gas, natural gas or a mixture of the two, and releases heat energy through combustion to maintain a high-temperature environment. The fuel supply of the combustion module is precisely adjusted by the flow control valve to achieve dynamic temperature control.

[0042] During the operation of the furnace body 1, accurate temperature measurement is the basis for realizing temperature control. The temperature measurement component is a thermocouple, which has high sensitivity, good high-temperature resistance performance and fast response speed. When selecting a suitable thermocouple, the thermocouple needs to be able to work stably in the high-temperature environment of the furnace body 1, and be able to accurately measure the temperatures at the top and bottom of the furnace body 1 located at the center line of the small furnace 2. At the same time, the thermocouple can transmit the measurement information to the control module through the data transmission component.

[0043] The control module is the core control platform of the furnace body 1, responsible for receiving temperature measurement signals, processing data, and executing corresponding control instructions. During actual operation, the control module achieves precise temperature regulation by adjusting the flow control valve of the small furnace flame spraying point 3 and controlling the air volume of the cooling fan in the cooling module. In this embodiment, the control module adopts distributed control (DCS).

[0044] Preferably, in this embodiment, an algorithm model is set in the control module for converting the received temperature parameters into corresponding control instructions. The design process of the algorithm model in this application is as follows:

[0045] The dynamic characteristics of the ultra-white calendering glass melting furnace temperature control system based on adaptive control involved in this application are manifested in the transmission delay and thermal inertia of temperature changes. Inside the furnace body 1, the transfer of heat mainly occurs through the combined action of three mechanisms: heat conduction, heat convection, and heat radiation. The heat released during the combustion process is transferred from the small furnace flame spraying point 3 to the surrounding materials and the furnace wall of the furnace body 1 through radiation, and then gradually diffuses throughout the furnace body 1 via heat conduction and convection. Due to the limited heat transfer rate, there is usually a certain time delay from the release of heat by fuel combustion to the change in temperature at the temperature measurement point. This transfer delay causes hysteresis in the control system, resulting in a lag in the response of the control system to real-time temperature changes. In addition, the thermal inertia of the furnace body 1 is mainly determined by the heat storage capacity of the furnace wall material and the heat capacity of the materials. The furnace body 1 usually uses refractory materials, and its high specific heat capacity and thermal conductivity cause the temperature inside the furnace body 1 to change slowly after being heated, thus showing a large thermal inertia. This inertial characteristic makes the dynamic response of temperature changes relatively smooth, but at the same time, it also increases the difficulty of achieving rapid adjustment of the temperature control system. According to the heat transfer mechanism inside the furnace body 1, the change in the temperature inside the furnace body 1 can be described by the law of conservation of energy:

[0046] Assume that the average temperature of a certain area inside the furnace body 1 is T(t), the heat released by the combustion of the small furnace flame spraying point 3 is Q in (t), and the heat lost through the furnace wall and the cooling module is Q out (t). Then the heat balance equation for this area can be expressed as:

[0047]

[0048] Among them, C represents the heat capacity of this area in the furnace body 1, which is mainly determined by the heat storage capacity of the refractory material and the heat capacity of the internal materials; is the rate of change of temperature, reflecting the dynamic characteristics of the system.

[0049] The heat Q in (t) released by the combustion of the small furnace flame spraying point 3 has a non-linear relationship with the fuel flow rate F(t), which can be expressed as:

[0050] Qin q(t) = η(T(t))·H·F(t)

[0051] Among them, η(T(t)) represents the combustion efficiency, which is non-linearly related to the temperature T(t) of the furnace body 1 and usually gradually tends to saturation under high-temperature conditions; H is the lower calorific value of the fuel, and F(t) is the instantaneous fuel flow rate.

[0052] The heat Q lost through the furnace wall and the cooling module out q(t) includes the heat dissipation Q wall (t) of the furnace wall, and the heat dissipation Qf an (t) of the cooling module.

[0053] Among them, the heat dissipation Q wall (t) of the furnace wall can be approximately expressed by the heat conduction formula as: Q wall (t) = k·A·(T(t) - T amb ); among them, k is the thermal conductivity of the furnace wall material, A is the effective heat transfer area of the furnace wall, and T amb is the ambient temperature.

[0054] Among them, the heat dissipation Q fan (t) of the cooling module is mainly achieved by the convective heat transfer of the cooling fan, and the heat carried away by the cooling fan can be expressed as: Q fan (t) = h·A fan ·(T(t) - T amb ); among them, h is the convective heat transfer coefficient, and A fan is the heat transfer area affected by the cooling fan, and the fan speed and air volume will directly affect the value of h.

[0055] In summary, the heat balance equation of a certain area inside the furnace body 1 can be further integrated as:

[0056]

[0057] The above equation describes the variation law of the temperature of a certain area inside the furnace body 1 with time, considering the combined effects of fuel combustion, heat loss, and the cooling fan.

[0058] Since there are several small furnace spraying points 3 in the furnace body 1, the combustion heat and temperature distribution inside the furnace body 1 have a coupling characteristic. Assume that there are seven small furnace spraying points 3 inside the furnace body 1, and the fuel flow rates of each small furnace spraying point 3 are F i (t), and the temperature of the area corresponding to this small furnace spraying point 3 is T i (t), then the multivariable coupling model of the temperature inside the furnace body 1 can be expressed as:

[0059]

[0060] Among them, Ci is the heat capacity of the i-th region, M ij represents the heat radiation or convection coupling coefficient between the i-th and j-th small furnaces, Q fan,i (t) represents the influence of the cooling fan on this region.

[0061] For the convenience of subsequent control algorithm design, the above multivariable coupling model can be discretized. Assuming the discrete time step is Δt, the discretized temperature dynamic equation can be expressed as:

[0062]

[0063] In the actual application of the above discretized temperature dynamic equation, z is several discrete points after discretization, and its parameters (such as C i , k, M ij , h, etc.) can be obtained through system identification of experimental data or estimated through theoretical derivation and empirical formulas.

[0064] Among them, the discretized temperature dynamic equation represents the dynamic behavior of the temperature inside Furnace 1, including the influence of nonlinearity, time-variation, multivariable coupling, and external disturbances.

[0065] Furthermore, for the convenience of describing the state space of the glass melting furnace temperature control system, the above multivariable coupling model is transformed into a temperature dynamic differential equation, in the following form:

[0066]

[0067] Among them, is the rate of change of temperature with time; a(T(t)) is the combustion efficiency of the fuel varying with temperature; F(t) is the instantaneous fuel flow rate; b(T(t)) is the cooling air cooling efficiency coefficient varying with temperature; W(t) is the wind speed of the cooling fan; c(T(t)) is the heat radiation or convection coupling coefficient between the i-th and j-th small furnaces; T(t) is the temperature of Furnace 1; d(t) is the total disturbance of the heat loss of the furnace wall of Furnace 1.

[0068] The above temperature dynamic differential equation is transformed into a state space equation, and the state space equation is as follows:

[0069]

[0070] Among them, x(t) is the state variable, let x(t) = T(t); u(t) is the input variable, let c(T(t)) is the heat radiation or convection coupling coefficient between the 2i-th and 2j-th small furnaces; d(t) is the total disturbance of the heat loss of the furnace wall of Furnace 1.

[0071] Furthermore, after obtaining the state space equation of the temperature dynamic differential equation, it is also necessary to design the adaptive laws for the parameters a(T(t)), b(T(t)), and c(T(t)) so as to achieve the adaptive regulation function of the glass furnace temperature control system.

[0072] The adaptive laws for the parameters a(T(t)), b(T(t)), and c(T(t)) are designed based on the Lyapunov stability theory. Define the output error e(t) = T d (t) - T(t), the parameter estimation error and (where and are the estimated values of a, b, and c). Select the Lyapunov function (γ a , γ b , γ c are positive definite constants). Take the time derivative of V to obtain From e = T d -T, we can get Also, because So Substitute into and organize to get Substitute and into to further obtain

[0073] Let the adaptive laws and At this time Substitute it into the corresponding formula in to obtain Substitute into and organize to get Since T, F, and W are bounded, when e approaches 0, satisfies Therefore, the system is stable. So, the adaptive laws and designed by the present invention can satisfy the system stability.

[0074] Furthermore, it is also necessary to design the control law for the fuel flow rate. The identification results obtained according to the above adaptive laws are and The control law for the fuel flow rate is designed as:

[0075]

[0076] At this time, through the design of the above parameter update rules, the stability and control accuracy of the control system under multi-condition conditions can be ensured.

[0077] To achieve the above object or other objects, the present invention also discloses a temperature control method for an ultra-white calendered glass melting furnace based on adaptive control, adopting the above temperature control system for an ultra-white calendered glass melting furnace based on adaptive control, and the steps are as follows:

[0078] S1: Install the combustion module, the temperature measurement and data acquisition module, and the cooling module on the furnace body 1, and communicatively connect the combustion module, the temperature measurement and data acquisition module, and the cooling module to the control module;

[0079] S2: The fuel is ignited in the furnace body 1 through the combustion module and the small furnace spouting point 3, and the temperature measurement and data acquisition module real-time collects the temperature parameters in the furnace body 1 and feeds the temperature parameters back to the control module;

[0080] S3: After the control module receives the temperature parameters fed back by the temperature measurement and data acquisition module, processes the temperature parameters and compares them with the set temperature parameters, and issues an instruction command to adjust the working states of the flow control valve and the cooling module according to the comparison result, so as to realize the adjustment of the temperature in the furnace body 1.

[0081] Preferably, a multivariable coupling model is set in the control module of step S3, and the control law for the fuel flow is deduced through the multivariable coupling model, and the control module adjusts the opening of the flow control valve according to the control law of the fuel flow, so as to realize the adjustment of the temperature in the furnace body 1.

[0082] The temperature control system and method for an ultra-white calendered glass melting furnace based on adaptive control involved in the present invention can effectively cope with the challenges of parameter changes in the temperature control of the furnace body 1 by real-time identifying the dynamic characteristics of the control system. Compared with the traditional PID control, the present application has significant advantages. The present application does not need to rely on an accurate prior model and can dynamically adjust the control system parameters according to the actual working conditions during operation, so that good control performance can still be maintained under the condition of large parameter changes in the system.

[0083] Therefore, the present invention effectively overcomes various shortcomings in the prior art and has high industrial utilization value.

[0084] The above embodiments are only illustrative of the principles and effects of the present invention and are not intended to limit the present invention. Any person familiar with this technology can modify or change the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical idea disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A temperature control system for an ultra-clear calendered glass melting furnace based on adaptive control, characterized in that: It includes a furnace body (1), a combustion module, a temperature measurement and data acquisition module, a control module, and a cooling module; A number of small furnaces (2) are arranged on the furnace body (1), and a number of small furnace flame spraying points (3) are arranged inside the furnace body (1); the combustion module is arranged on the furnace body (1), and a flow control valve for controlling the fuel flow is arranged in the combustion module; The temperature measurement and data acquisition module is arranged on the furnace body (1), and the temperature measurement and data acquisition module includes a temperature measurement component and a data transmission component. The temperature measurement component is arranged inside the furnace body (1) to collect the temperature parameters of the furnace body (1) and feedback them to the control module through the data transmission component; The cooling module is arranged on the furnace body (1), and the combustion module, the temperature measurement and data acquisition module, and the cooling module are all connected to the control module; The temperature measurement and data acquisition module measures the temperature parameters inside the furnace body (1) and transmits them to the control module. The control module receives the temperature parameters, processes them, and then issues corresponding control instructions to adjust the flow control valve and the cooling module to realize the adjustment of the temperature inside the furnace body (1).

2. The temperature control system for an ultra-white calendered glass melting furnace based on adaptive control according to claim 1, wherein: An algorithm model is arranged in the control module for converting the received temperature parameters into corresponding control instructions; the algorithm model includes a multivariable coupling model, and the formula of the multivariable coupling model is as follows: Among them, C i is the heat capacity of the i-th region; is the rate of change of temperature; η(T(t)) represents the combustion efficiency, which is non-linearly related to the temperature T(t) of the furnace body (1); H is the lower calorific value of the fuel; F(t) is the instantaneous fuel flow rate; k is the thermal conductivity of the furnace wall material of the furnace body (1); A is the effective heat transfer area of the furnace wall; T amb is the ambient temperature; M ij represents the heat radiation or convection coupling coefficient between the small furnace (2)i and the small furnace (2)j; Q fan,i (t) represents the influence of the cooling module on the temperature of the furnace body (1) region between the small furnace (2)i and the small furnace (2)j.

3. The temperature control system for an ultra-white calendered glass melting furnace based on adaptive control according to claim 2, wherein: The cooling module includes a cooling fan, and the calculation formula for Q fan,i (t) in the multivariable coupling model is as follows: Q fan q(t) = h·A fan ·(T(t) - T amb ); Among them, h is the convective heat transfer coefficient; A fan is the heat transfer area affected by the cooling fan, and the fan speed and air volume will directly affect the magnitude of h; T amb is the ambient temperature.

4. The temperature control system for an ultra-white calendered glass melting furnace based on adaptive control according to claim 3, characterized in that: The algorithm model also includes the temperature dynamic differential equation of the multivariable coupling model, and the temperature dynamic differential equation is as follows: wherein, is the change rate of temperature with time; a(T(t)) is the combustion efficiency varying with temperature; F(t) is the instantaneous flow rate of fuel; b(T(t)) is the cooling air cooling efficiency coefficient varying with temperature; W(t) is the wind speed of the cooling fan; c(T(t)) is the heat radiation or convection coupling coefficient between the small furnace (2)i and the small furnace (2)j; T(t) is the temperature of the furnace body (1); d(t) is the total disturbance of the furnace wall heat loss of the furnace body (1).

5. The temperature control system for an ultra-clear calendered glass melting furnace based on adaptive control according to claim 4, characterized in that: The algorithm model also includes the state space equation of the temperature dynamic differential equation, and the state space equation is as follows: where x(t) is the state variable, and let x(t) = T(t); u(t) is the input variable, and let c(T(t)) is the thermal radiation or convection coupling coefficient between the small furnaces (2) i and (2) j; d(t) is the total disturbance of the furnace wall heat loss of the furnace body (1).

6. The temperature control system for an ultra-clear calendered glass melting furnace based on adaptive control according to claim 4, wherein: The algorithm model also includes the adaptive law design of parameters a(T(t)), b(T(t)), and c(T(t)) to make the adaptive laws of parameters a(T(t)), b(T(t)), and c(T(t)) satisfy the stability of the ultra-clear calendered glass melting furnace temperature control system with adaptive control.

7. The temperature control system for the ultra-white calendered glass melting furnace based on adaptive control according to claim 6, wherein: The adaptive law design of parameters a(T(t)), b(T(t)), and c(T(t)) is based on the Lyapunov stability theory; The adaptive law of the parameter a(T(t)) is as follows The adaptive law of parameter b(T(t)) is The adaptation law of parameter c(T(t)) is are the estimated values of parameters a, b, and c; γ a , γ b , γ c are all positive definite constants; e is the output error; F is the flow rate of fuel, W is the wind speed of the cooling fan, and T is the temperature inside the furnace body (1).

8. The temperature control system for an ultra-white calendered glass melting furnace based on adaptive control according to claim 7, wherein: The algorithm model also includes the design of the control law; according to the identification result obtained from the adaptive law, the formula of the control law is designed as: Among them, F(t) is the instantaneous flow rate of the fuel; is the combustion efficiency of the fuel varying with temperature; is the cooling efficiency coefficient of the cooling air varying with temperature; W(t) is the wind speed of the cooling fan; is the heat radiation or convection coupling coefficient between the small furnace (2)i and the small furnace (2)j; T(t) is the temperature of the furnace body (1); d(t) is the total disturbance of the heat loss of the furnace wall of the furnace body (1).

9. A temperature control method for an ultra-clear calendered glass melting furnace based on adaptive control, characterized in that: The steps of adopting the above ultra-clear calendered glass melting furnace temperature control system based on adaptive control are as follows: S1: Install the combustion module, the temperature measurement and data acquisition module, and the cooling module on the furnace body (1), and communicate the combustion module, the temperature measurement and data acquisition module, and the cooling module with the control module; S2: The fuel is ignited in the furnace body (1) through the combustion module and the small furnace flame spraying point (3), and the temperature measurement and data acquisition module continuously collects the temperature parameters inside the furnace body (1) and feeds back the temperature parameters to the control module; S3: After the control module receives the temperature parameters fed back by the temperature measurement and data acquisition module, it processes the temperature parameters and compares them with the set temperature parameters, and issues an instruction command according to the comparison result to adjust the working states of the flow control valve and the cooling module to realize the adjustment of the temperature inside the furnace body (1).

10. The method for controlling the temperature of an ultra-white calendered glass melting furnace based on adaptive control according to claim 9, wherein: A multivariable coupling model is set in the control module of step S3. The control law for the fuel flow is deduced through the multivariable coupling model. The control module adjusts the opening of the flow control valve according to the control law of the fuel flow to achieve the regulation of the temperature in the furnace body (1).

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