Annealing furnace control method, system and equipment
By constructing the overall benefit model of the annealing furnace and adjusting the gas flow and waste heat exhaust gas flow at each stage, the problem that the existing annealing furnace fails to make full use of the thermal energy of high-temperature flue gas is solved, achieving a more efficient annealing process and a more significant energy-saving and cost-saving effect.
Patent Information
- Application Number
- CN202411848669.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2044-12-16
AI Technical Summary
When using the heat energy of high-temperature flue gas, existing annealing furnaces fail to fully consider the gas flow and waste heat and exhaust gas flow in each stage during the workpiece annealing process, resulting in the inability to obtain the maximum annealing benefits, and the energy saving and cost reduction results need to be improved.
By obtaining the current and target temperatures of the preheating section, heating section and insulation section, as well as the relationship model between the gas flow and waste heat exhaust gas flow in each stage, an annealing furnace overall benefit model is constructed, the benefit function of each stage is calculated, and the gas flow and waste heat exhaust gas flow are adjusted to obtain maximum benefits.
Comprehensive optimization of the gas flow rate and waste heat exhaust gas flow rate in each stage of the annealing furnace is achieved, which improves the annealing efficiency and enhances the effect of energy saving and cost reduction.
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Figure CN119307712B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of annealing furnaces, and in particular to an annealing furnace control method, system and equipment. Background Art
[0002] Annealing is to heat the workpiece to an appropriate temperature, use different holding times depending on the material, and then slowly cool it down. The purpose is to make the internal structure of the metal reach or approach a state of equilibrium and obtain good processing performance and performance.
[0003] The annealing furnace generally includes a preheating section, a heating section and a heat preservation section. In order to save energy and reduce production costs, the waste heat flue gas in the heating section can be transported to the preheating section and / or the heat preservation section to recover the heat energy of the high-temperature flue gas discharged from the heating section. For example, the Chinese utility model patent "An energy-saving annealing furnace" disclosed in application number CN201120050594.9, the Chinese utility model patent "Energy-saving annealing furnace" disclosed in application number CN202022199801.9, and the Chinese utility model patent "New waste heat utilization annealing furnace" disclosed in application number CN200720062563.9, all three of them preheat or keep the workpiece warm by recycling the heat energy of high-temperature flue gas, so as to achieve the purpose of energy saving and cost reduction.
[0004] However, the above-mentioned annealing furnace simply recycles the heat energy of high-temperature flue gas, and does not take into account factors such as the gas flow rate and waste heat exhaust gas flow rate required at different stages of the workpiece annealing process. It is unable to obtain the maximum annealing benefit based on the gas flow rate and waste heat exhaust gas flow rate required in the three stages of preheating, heating and insulation. Its energy-saving and cost-reduction effects need to be further improved. Summary of the invention
[0005] Based on this, in order to improve the energy saving and cost reduction effect of the annealing furnace, the present invention provides an annealing furnace control method, system and equipment, and its specific technical scheme is as follows:
[0006] An annealing furnace control method comprises the following steps:
[0007] Get the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section;
[0008] For the preheating section, a first relationship model between the preheating section temperature, the first fuel gas flow rate, and the first heating section waste heat exhaust gas flow rate is obtained;
[0009] For the insulation section, a second relationship model between the insulation section temperature, the second fuel gas flow rate, and the second heating section waste heat exhaust gas flow rate is obtained;
[0010] For the heating section, a third relationship model between the heating section temperature and the third gas flow rate is obtained;
[0011] Constructing an overall benefit model of an annealing furnace based on the first relationship model, the second relationship model and the third relationship model;
[0012] Calculate the maximum value of the overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section;
[0013] According to the maximum value of the overall benefit of the annealing furnace, the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate and the third gas flow rate are adjusted.
[0014] The annealing furnace control method constructs an overall benefit model of the annealing furnace by acquiring a first relationship model, a second relationship model, and a third relationship model, calculates the maximum overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section, and adjusts the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate, and the third gas flow rate according to the maximum overall benefit of the annealing furnace, which comprehensively considers the gas flow rate and waste heat exhaust gas flow rate required to be consumed in the three stages of the preheating section, the heating section, and the insulation section, can obtain the maximum annealing benefit, and improve the energy-saving and cost-reduction effect of the annealing furnace.
[0015] Preferably, for the preheating section, a specific method for constructing a first relationship model between the preheating section temperature, the first fuel gas flow rate, and the first heating section waste heat exhaust gas flow rate comprises the following steps:
[0016] Get the warm-up segment training samples;
[0017] Construct a neural network model for the preheating stage;
[0018] Training the preheating section neural network model based on the preheating section training samples, and using the trained preheating section neural network model as the first relationship model;
[0019] The preheating section training samples include a preheating section temperature data set, a first fuel gas flow data set, and a first heating section waste heat exhaust gas flow data set.
[0020] Preferably, for the insulation section, a specific method for obtaining a second relationship model between the insulation section temperature, the second fuel gas flow rate, and the second heating section waste heat exhaust gas flow rate comprises the following steps:
[0021] Obtain the insulation section training sample;
[0022] Construct a neural network model for the insulation section;
[0023] Training the insulation section neural network model based on the insulation section training samples, and using the trained insulation section neural network model as the second relationship model;
[0024] The insulation section training samples include an insulation section temperature data set, a second fuel gas flow data set, and a second heating section waste heat exhaust gas flow data set.
[0025] Preferably, for the heating section, a specific method for obtaining the third relationship model between the heating section temperature and the third gas flow rate comprises the following steps:
[0026] Obtain heating segment training samples;
[0027] Construct a neural network model for the heating section;
[0028] Training the heating section neural network model based on the heating section training samples, and using the trained heating section neural network model as the third relationship model;
[0029] The heating section training samples include a heating section temperature data set and a third gas flow data set.
[0030] Preferably, the specific method for constructing the overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model comprises the following steps:
[0031] According to the first relationship model, obtaining a preheating section benefit function;
[0032] According to the second relationship model, obtaining a benefit function of the heat preservation section;
[0033] According to the third relationship model, obtaining a heating section benefit function;
[0034] The overall benefit model of the annealing furnace is constructed according to the benefit function of the preheating section, the benefit function of the heat preservation section and the benefit function of the heating section.
[0035] Preferably, the preheating stage benefit function , the insulation section benefit function , the heating section benefit function , the overall benefit model of the annealing furnace ;
[0036] in, represents a natural constant, Indicates the warm-up time. Indicates the holding time. Indicates the heating time. represents the warm-up time benefit factor, It represents the efficiency factor of the waste heat exhaust gas in the first heating section, represents the first gas efficiency factor, represents the waste heat exhaust gas flow function of the first heating section, represents the first gas flow function, represents the insulation time benefit factor, Indicates the waste heat exhaust efficiency factor of the second heating section, represents the second gas efficiency factor, represents the waste heat exhaust gas flow function of the second heating section, represents the second gas flow function, represents the heating time benefit factor, represents the third gas efficiency factor, represents a third gas flow function, wherein the sum of the waste heat exhaust gas flow of the first heating section and the waste heat exhaust gas flow of the second heating section is equal to the total waste heat exhaust gas flow discharged from the heating section.
[0037] Preferably, the annealing furnace control method further comprises the following steps:
[0038] detecting a first carbon monoxide content of the waste heat exhaust gas in the first heating section, calculating a first optimal oxygen input amount according to the first carbon monoxide content, and inputting oxygen into the preheating section according to the first optimal oxygen input amount;
[0039] Calculate the first heating section waste heat exhaust gas efficiency factor according to the first heating section waste heat exhaust gas flow rate and the first optimal oxygen input ;
[0040] detecting a second carbon monoxide content of the waste heat exhaust gas in the second heating section, calculating a second optimal oxygen input amount according to the second carbon monoxide content, and inputting oxygen into the insulation section according to the second optimal oxygen input amount;
[0041] Calculate the waste heat exhaust gas efficiency factor of the second heating section according to the waste heat exhaust gas flow rate of the second heating section and the second optimal oxygen input .
[0042] Preferably, the first heating section waste heat exhaust gas efficiency factor , the efficiency factor of waste heat exhaust gas in the second heating section ;
[0043] in, represents the waste heat exhaust gas flow rate of the first heating section, represents the waste heat exhaust gas flow rate of the second heating section, represents the first optimal oxygen input, , , represents the first correction coefficient, the second correction coefficient and the third correction coefficient, represents the second optimal oxygen input, , , Indicates the fourth correction coefficient, the fifth correction coefficient, and the sixth correction coefficient.
[0044] The present invention also provides an annealing furnace control system, comprising:
[0045] The temperature acquisition module is used to obtain the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section;
[0046] a relationship model acquisition module, for acquiring, for the preheating section, a first relationship model between the preheating section temperature, the first gas flow rate, and the first heating section waste heat exhaust gas flow rate, for the insulation section, a second relationship model between the insulation section temperature, the second gas flow rate, and the second heating section waste heat exhaust gas flow rate, and for the heating section, a third relationship model between the heating section temperature and the third gas flow rate;
[0047] A benefit model building module, used to build an overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model;
[0048] an overall benefit calculation module, for calculating the maximum overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section;
[0049] The regulating module is used to regulate the first gas flow, the first heating section waste heat exhaust gas flow, the second gas flow, the second heating section waste heat exhaust gas flow and the third gas flow according to the maximum overall benefit of the annealing furnace.
[0050] The present invention also provides an annealing furnace control device, which includes:
[0051] Controller;
[0052] A memory storing executable instructions;
[0053] The executable instructions can be run on the controller and implement the annealing furnace control method. BRIEF DESCRIPTION OF THE DRAWINGS
[0054] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.
[0055] Figure 1 It is a schematic diagram of the overall flow of an annealing furnace control method in one embodiment of the present invention.
[0056] Figure 2 It is a flowchart of a specific method for constructing a first relationship model in one embodiment of the present invention.
[0057] Figure 3 It is a flow chart of a specific method for constructing an overall benefit model of an annealing furnace in one embodiment of the present invention.
[0058] Figure 4 It is a flow chart of an annealing furnace control method in another embodiment of the present invention. DETAILED DESCRIPTION
[0059] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with its embodiments. It should be understood that the specific implementation methods described herein are only used to explain the present invention and do not limit the protection scope of the present invention.
[0060] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and do not represent the only implementation method.
[0061] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.
[0062] The “first” and “second” mentioned in the present invention do not represent specific quantities and orders, but are merely used to distinguish names.
[0063] In the existing annealing furnace, in order to recycle the flue gas waste heat, improve resource utilization, and achieve the purpose of energy saving and cost reduction, the high-temperature flue gas generated during the combustion process of the heating section can be transported to the preheating section and / or the insulation section through a pipeline. The recycling of the high-temperature flue gas in the heating section of the existing annealing furnace is generally simply transported to the preheating section and / or the insulation section, and the flow of the high-temperature flue gas is adjusted, thereby adjusting the temperature of the preheating section and the insulation section. This simple high-temperature flue gas transportation and flow adjustment method does not take into account factors such as the gas flow rate and waste heat exhaust gas flow rate required for different stages of the workpiece annealing process, nor does it take into account the current temperature and target temperature of the preheating section, heating section and insulation section. It is impossible to obtain the maximum annealing benefit based on the gas flow rate, waste heat exhaust gas flow rate, current temperature and target temperature required for the three stages of the preheating section, heating section and insulation section. The utilization of high-temperature flue gas is relatively rough, and there is room for further improvement in energy saving and cost reduction.
[0064] In order to improve the utilization efficiency of high-temperature flue gas in the heating section and improve the energy-saving and cost-reduction effect of the annealing furnace, Figure 1 As shown, the present invention provides an annealing furnace control method, comprising the following steps:
[0065] S1, obtaining the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section.
[0066] S2, for the preheating section, obtaining a first relationship model between the preheating section temperature, the first fuel gas flow rate, and the first heating section waste heat exhaust gas flow rate.
[0067] S3, for the insulation section, obtaining a second relationship model between the insulation section temperature, the second fuel gas flow rate, and the second heating section waste heat exhaust gas flow rate.
[0068] S4, for the heating section, obtaining a third relationship model between the heating section temperature and the third gas flow rate.
[0069] Preferably, in step S2, Figure 2 As shown, for the preheating section, a specific method for constructing a first relationship model between the preheating section temperature, the first fuel gas flow rate, and the first heating section waste heat exhaust gas flow rate includes the following steps:
[0070] S20, obtaining warm-up segment training samples.
[0071] S21, constructing a preheating segment neural network model.
[0072] S22, training the preheating section neural network model based on the preheating section training samples, and using the trained preheating section neural network model as the first relationship model.
[0073] The preheating section training samples include a preheating section temperature data set, a first fuel gas flow data set, and a first heating section waste heat exhaust gas flow data set.
[0074] The preheating section temperature data set, the first gas flow data set and the first heating section waste heat exhaust gas flow data set can be obtained through the historical preheating section temperature data, the historical first gas flow data and the historical first heating section waste heat exhaust gas flow data of the annealing furnace. The historical preheating section temperature data includes the preheating section initial temperature, the preheating section target temperature, the final preheating time and the workpiece initial preheating temperature (the temperature before the workpiece enters the preheating section) of the preheating section for preheating the workpiece in the past preset time period. The historical first gas flow data and the historical first heating section waste heat exhaust gas flow data both correspond to the historical preheating section temperature data.
[0075] The preheating section neural network model is trained by the preheating section temperature data set, the first gas flow data set, and the first heating section waste heat exhaust gas flow data set, and the trained preheating section neural network model is obtained and used as the first relationship model. Based on the first relationship model, the relevant parameters of the workpiece to be preheated, including the initial preheating temperature of the workpiece, the current temperature of the preheating section, the target temperature of the preheating section, the first gas flow, and the first heating section waste heat exhaust gas are input into the first relationship model to obtain the preheating time of the workpiece to be preheated. Here, the preheating section target temperature is preferably the target preheating temperature of the workpiece to be preheated.
[0076] Preferably, in step S3, for the insulation section, a specific method for obtaining a second relationship model between the insulation section temperature, the second fuel gas flow rate, and the second heating section waste heat exhaust gas flow rate comprises the following steps:
[0077] S30, obtaining a heat preservation section training sample.
[0078] S31, constructing a neural network model for the heat preservation section.
[0079] S32, training the heat preservation section neural network model based on the heat preservation section training samples, and using the trained heat preservation section neural network model as the second relationship model.
[0080] The insulation section training samples include an insulation section temperature data set, a second fuel gas flow data set, and a second heating section waste heat exhaust gas flow data set.
[0081] The insulation section temperature data set, the second gas flow data set and the second heating section waste heat exhaust gas flow data set can be obtained through the historical insulation section temperature data, the historical second gas flow data and the historical second heating section waste heat exhaust gas flow data of the annealing furnace. The historical insulation section temperature data includes the insulation section initial temperature, the insulation section target temperature, the final insulation time and the workpiece initial insulation temperature (the temperature before the workpiece enters the insulation section) of the insulation section for the past preset time period. The historical second gas flow data and the historical second heating section waste heat exhaust gas flow data both correspond to the historical insulation section temperature data.
[0082] The insulation section neural network model is trained through the insulation section temperature data set, the second gas flow data set, and the second heating section waste heat exhaust gas flow data set, and the trained insulation section neural network model is obtained and used as the second relationship model. Based on the second relationship model, the relevant parameters of the workpiece to be insulated, including the initial insulation temperature of the workpiece, the current temperature of the insulation section, the target temperature of the insulation section, the second gas flow, and the second heating section waste heat exhaust gas are input into the second relationship model to obtain the insulation time of the workpiece to be insulated. Here, the insulation section target temperature is preferably the target insulation temperature of the workpiece to be insulated, and the initial insulation temperature of the workpiece is the target heating temperature of the workpiece to be heated.
[0083] Preferably, in step S4, for the heating section, a specific method for obtaining a third relationship model between the heating section temperature and the third gas flow rate comprises the following steps:
[0084] S40, obtaining a heating segment training sample.
[0085] S41, constructing a neural network model for the heating section.
[0086] S42: training the heating section neural network model based on the heating section training samples, and using the trained heating section neural network model as the third relationship model.
[0087] The heating section training samples include a heating section temperature data set and a third gas flow data set.
[0088] The heating section temperature data set and the third gas flow data set can be obtained through the historical heating section temperature data and the historical third gas flow data of the annealing furnace. The historical heating section temperature data includes the heating section initial temperature, the heating section target temperature, the final heating time and the workpiece initial heating temperature (the temperature before entering the heating section) of the workpiece in the heating section during the past preset time period. The historical third gas flow data corresponds to the historical heating section temperature data.
[0089] The heating section neural network model is trained by the heating section temperature data set and the third gas flow data set, and the trained heating section neural network model is obtained and used as the third relationship model. Based on the third relationship model, the relevant parameters of the workpiece to be heated, including the initial heating temperature of the workpiece, the current temperature of the heating section, the target temperature of the heating section, and the third gas flow, are input into the third relationship model to obtain the heating time of the workpiece to be heated. Preferably, the heating section target temperature is the target heating temperature of the workpiece to be heated, and the workpiece initial heating temperature is the target preheating temperature of the workpiece to be preheated.
[0090] In order to enhance the preheating section training samples, the holding section training samples and the heating section training samples, the annealing furnace can also be simulated by a finite element analysis method to obtain a richer preheating section temperature data set, a first gas flow data set, a first heating section waste heat exhaust gas flow data set, a holding section temperature data set, a second gas flow data set, a second heating section waste heat exhaust gas flow data set, a heating section data set and a third gas flow data set.
[0091] S5: construct an overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model.
[0092] Preferably, if Figure 3 As shown, the specific method for constructing the overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model includes the following steps:
[0093] S50: Obtain a preheating section benefit function according to the first relationship model.
[0094] The preheating section benefit function is a function of the preheating time, the first heating section waste heat exhaust gas flow rate and the first gas flow rate. The preheating time, the first heating section waste heat exhaust gas flow rate and the first gas flow rate are all provided with corresponding benefit factors. The preheating section benefit function obtains the preheating section benefit by calculating the sum of the benefit values of the preheating time, the first heating section waste heat exhaust gas flow rate and the first gas flow rate.
[0095] The waste heat exhaust gas flow rate and the first fuel gas flow rate of the first heating section are set according to the initial preheating temperature of the workpiece to be heated, the current temperature of the preheating section, and the target temperature of the preheating section. The overall idea is to heat the preheating section based on the current temperature of the preheating section by adjusting the waste heat exhaust gas flow rate and the first fuel gas flow rate of the first heating section, so that the current temperature of the preheating section is equal to the target temperature of the preheating section, or the current temperature of the preheating section is within the range of [preheating section target temperature [1-x], preheating section target temperature * (1+x)], where x is greater than 0 and is set by technical personnel, and the value is preferably 0.08, 0.09 or 0.1.
[0096] S51, obtaining a heat preservation section benefit function according to the second relationship model.
[0097] The insulation section benefit function is a function of the insulation time, the second heating section waste heat exhaust gas flow rate and the second gas flow rate. The insulation time, the second heating section waste heat exhaust gas flow rate and the second gas flow rate are all provided with corresponding benefit factors. The insulation section benefit function obtains the insulation section benefit by calculating the sum of the benefit values of the insulation time, the second heating section waste heat exhaust gas flow rate and the second gas flow rate.
[0098] The waste heat exhaust gas flow rate of the second heating section and the second fuel gas flow rate are set according to the initial insulation temperature of the workpiece to be heated, the current temperature of the insulation section, and the target temperature of the insulation section. The overall idea is to heat the insulation section based on the current temperature of the insulation section by adjusting the waste heat exhaust gas flow rate of the second heating section and the second fuel gas flow rate, so that the current temperature of the insulation section is equal to the target temperature of the insulation section, or the current temperature of the insulation section is within the range of [insulation section target temperature [1-x], insulation section target temperature * (1+x)], where x is greater than 0 and is set by technical personnel, and the value is preferably 0.08, 0.09 or 0.1.
[0099] S52: Obtain a heating section benefit function according to the third relationship model.
[0100] The heating section benefit function is a function of the heating time and the third gas flow rate. The heating time and the third gas flow rate are both provided with corresponding benefit factors. The heating section benefit function obtains the heating section benefit by calculating the sum of the benefit values of the heating time and the third gas flow rate.
[0101] The third gas flow rate is set according to the initial heating temperature of the workpiece to be heated, the current temperature of the heating section, and the target temperature of the heating section. The general idea is to heat the heating section based on the current temperature of the heating section by adjusting the third gas flow rate so that the current temperature of the heating section is equal to the target temperature of the heating section, or the current temperature of the heating section is within the range of [target temperature of the heating section [1-x], target temperature of the heating section * (1+x)], where x is greater than 0 and is set by technical personnel, and the value is preferably 0.08, 0.09 or 0.1.
[0102] S53, constructing an overall benefit model of the annealing furnace according to the preheating section benefit function, the insulation section benefit function and the heating section benefit function.
[0103] S6, calculating the maximum value of the overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section and the target temperature of the heating section.
[0104] S7, adjusting the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate and the third gas flow rate according to the maximum overall efficiency of the annealing furnace.
[0105] The overall benefit model of the annealing furnace can be understood as a curve function composed of the preheating section benefit function, the insulation section benefit function and the heating section benefit function, which includes multiple variables such as the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate and the second heating section waste heat exhaust gas flow rate. The maximum value of the overall benefit of the annealing furnace can be obtained by solving the maximum value of the curve function. After calculating the maximum value of the overall benefit of the annealing furnace, the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate and the third gas flow rate can be adjusted according to the specific variable parameters corresponding to the maximum value of the overall benefit of the annealing furnace.
[0106] It should be noted that when obtaining the maximum value of the overall benefit of the annealing furnace, there may be multiple function solutions, that is, there may be two or more maximum points on the curve function corresponding to the overall benefit model of the annealing furnace. In this case, the first gas flow, the first heating section waste heat exhaust gas flow, the second gas flow, the second heating section waste heat exhaust gas flow and the third gas flow can be adjusted according to the variable parameters corresponding to one of the randomly selected maximum points of the overall benefit of the annealing furnace; of course, the first gas flow, the first heating section waste heat exhaust gas flow, the second gas flow, the second heating section waste heat exhaust gas flow and the third gas flow can also be adjusted according to the variable parameters of the maximum point of the overall benefit of the annealing furnace corresponding to the maximum value of a certain variable parameter selected in advance. For example, when there are three maximum points of the overall benefit of the annealing furnace, if the maximum value of the third gas flow is pre-selected as the basis for selecting the maximum point of the overall benefit of the annealing furnace, the first gas flow, the first heating section waste heat exhaust gas flow, the second gas flow, the second heating section waste heat exhaust gas flow and the third gas flow can be adjusted according to the variable parameters of the maximum point of the overall benefit of the annealing furnace corresponding to the maximum value of the third gas flow.
[0107] The overall benefit model of the annealing furnace is a benefit function of preheating time, holding time, heating time, first gas flow, waste heat exhaust gas flow of the first heating section, second gas flow, waste heat exhaust gas flow of the second heating section and third gas flow. The overall benefit model of the annealing furnace determines the optimal adjustment parameters of the annealing furnace by obtaining the maximum value of the benefit function, and adjusts the first gas flow, waste heat exhaust gas flow of the first heating section, the second gas flow, waste heat exhaust gas flow of the second heating section and the third gas flow according to the optimal adjustment parameters, so as to maximize the utilization efficiency of the high-temperature waste heat exhaust gas of the heating furnace, balance the preheating time, holding time, heating time and total gas flow, take into account factors such as gas flow and waste heat exhaust gas flow required for different stages of the workpiece annealing process, and obtain the maximum annealing benefit according to the gas flow and waste heat exhaust gas flow required for the three stages of the preheating section, the heating section and the holding section.
[0108] That is to say, the annealing furnace control method constructs an overall benefit model of the annealing furnace by acquiring the first relationship model, the second relationship model and the third relationship model, calculates the maximum overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section and the target temperature of the heating section, and adjusts the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate and the third gas flow rate according to the maximum overall benefit of the annealing furnace, which comprehensively considers the gas flow rate and waste heat exhaust gas flow rate required to be consumed in the three stages of the preheating section, the heating section and the insulation section, can obtain the maximum annealing benefit, and improve the energy saving and cost reduction effect of the annealing furnace.
[0109] As a preferred technical solution, the preheating section benefit function , the insulation section benefit function , the heating section benefit function , the overall benefit model of the annealing furnace ;
[0110] in, represents a natural constant, Indicates the warm-up time. Indicates the holding time. Indicates the heating time. represents the warm-up time benefit factor, It represents the efficiency factor of the waste heat exhaust gas in the first heating section, represents the first gas efficiency factor, represents the waste heat exhaust gas flow function of the first heating section, represents the first gas flow function, represents the insulation time benefit factor, Indicates the waste heat exhaust efficiency factor of the second heating section, represents the second gas efficiency factor, represents the waste heat exhaust gas flow function of the second heating section, represents the second gas flow function, represents the heating time benefit factor, represents the third gas efficiency factor, represents a third gas flow function, wherein the sum of the waste heat exhaust gas flow of the first heating section and the waste heat exhaust gas flow of the second heating section is equal to the total waste heat exhaust gas flow discharged from the heating section.
[0111] The first gas flow function is a function of the waste heat exhaust gas flow of the first heating section and the target temperature of the preheating section. Specifically, ;in, Indicates the target temperature of the preheating stage. Indicates the initial temperature of the preheating section, Indicates the preset preheating temperature decay coefficient, It indicates the flow adjustment coefficient of waste heat exhaust gas in the first heating stage, which is set by technical personnel.
[0112] The second gas flow function is a function of the waste heat exhaust gas flow of the second heating section and the target temperature of the insulation section. Specifically, ;in, Indicates the target temperature of the insulation section. Indicates the initial temperature of the insulation hot section, Indicates the preset insulation temperature decay coefficient, Indicates the waste heat exhaust gas flow adjustment coefficient of the second heating stage, which is set by technical personnel.
[0113] The third gas flow function is a function of the target temperature of the heating section. Specifically, ;in, Indicates the target temperature of the heating section. Indicates the preset heating temperature decay coefficient, which is set by the technician.
[0114] Combining the preheating section benefit function, the heating section benefit function and the holding section benefit function, it can be seen that the overall benefit model of the annealing furnace not only takes into account the gas flow rate and waste heat exhaust gas flow rate required to be consumed in the preheating section, the heating section and the holding section, but also takes into account the workpiece annealing time factor, balances the preheating time, the holding time, the heating time and the total gas flow rate, and takes into account factors such as the gas flow rate and waste heat exhaust gas flow rate required to be consumed in different stages of the workpiece annealing process, and obtains the maximum annealing benefit based on the gas flow rate and waste heat exhaust gas flow rate required to be consumed in the preheating section, the heating section and the holding section.
[0115] In addition, by adjusting the preheating time benefit factor, the first heating section waste heat exhaust gas benefit factor, the first fuel gas benefit factor, the insulation time benefit factor, the second heating section waste heat exhaust gas benefit factor, the second fuel gas benefit factor, the heating time benefit factor and the third fuel gas benefit factor, the annealing furnace control method can also adjust the focus of workpiece annealing according to actual conditions. For example, on the basis of energy saving and cost reduction, if you want to improve the working efficiency of the annealing furnace, you can appropriately increase the preheating time benefit factor, the heating time benefit factor and the insulation time benefit factor, so as to enhance flexibility and intelligence.
[0116] The high-temperature waste heat exhaust gas in the heating section contains a certain concentration of carbon monoxide and a low oxygen content. If it is directly introduced into the preheating section and / or the insulation section, it will affect the full combustion of carbon monoxide and the preheating section and insulation section gas, and the combustion efficiency of the gas (including carbon monoxide in the waste heat exhaust gas and the gas burned by the burner) cannot be guaranteed. As a preferred technical solution, Figure 4 As shown, the annealing furnace control method also includes the following steps:
[0117] S8, detecting a first carbon monoxide content of the waste heat exhaust gas in the first heating section, calculating a first optimal oxygen input amount according to the first carbon monoxide content, and inputting oxygen into the preheating section according to the first optimal oxygen input amount. For the convenience of calculation, the first optimal oxygen input amount is half of the first carbon monoxide content.
[0118] S9, calculating the first heating section waste heat exhaust gas efficiency factor according to the first heating section waste heat exhaust gas flow rate and the first optimal oxygen input .
[0119] S10, detecting a second carbon monoxide content of the waste heat exhaust gas in the second heating section, calculating a second optimal oxygen input amount according to the second carbon monoxide content, and inputting oxygen into the insulation section according to the second optimal oxygen input amount. For the convenience of calculation, the second optimal oxygen input amount is half of the second carbon monoxide content.
[0120] S11, calculating the waste heat exhaust efficiency factor of the second heating section according to the waste heat exhaust flow of the second heating section and the second optimal oxygen input .
[0121] The first heating section waste heat exhaust gas efficiency factor , the efficiency factor of waste heat exhaust gas in the second heating section ;
[0122] in, represents the waste heat exhaust gas flow rate of the first heating section, represents the waste heat exhaust gas flow rate of the second heating section, represents the first optimal oxygen input, , , represents the first correction coefficient, the second correction coefficient and the third correction coefficient, represents the second optimal oxygen input, , , Indicates the fourth correction coefficient, the fifth correction coefficient, and the sixth correction coefficient.
[0123] , , The values are 103.25, 6.24 and 3.63 respectively. , , The values are 91.37, 6.18 and 2.47 respectively.
[0124] Through the above method, the first heating section waste heat waste gas benefit factor is associated with the amount of oxygen introduced into the preheating section and the waste heat waste gas flow rate of the first heating section, and the second heating section waste heat waste gas benefit factor is associated with the amount of oxygen introduced into the insulation section and the waste heat waste gas flow rate of the second heating section, so that the first heating section waste heat waste gas benefit factor and the second heating section waste heat waste gas benefit factor are more in line with the actual situation. In addition, by introducing the first optimal oxygen input into the preheating section and the second optimal oxygen input into the insulation section, it is also possible to ensure the full combustion of carbon monoxide and the preheating section and insulation section gas, thereby improving the combustion efficiency of the gas (including carbon monoxide in the waste heat waste gas and the gas burned by the burner).
[0125] The present invention also provides an annealing furnace control system, which includes a temperature acquisition module, a relationship model acquisition module, a benefit model construction module, an overall benefit calculation module and an adjustment module.
[0126] The temperature acquisition module is used to obtain the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section and the target temperature of the heating section; the relationship model acquisition module is used to obtain, for the preheating section, a first relationship model between the preheating section temperature, the first gas flow rate and the first heating section waste heat exhaust gas flow rate, for the insulation section, to obtain a second relationship model between the insulation section temperature, the second gas flow rate and the second heating section waste heat exhaust gas flow rate, and for the heating section, to obtain a third relationship model between the heating section temperature and the third gas flow rate.
[0127] The benefit model construction module is used to construct an overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model; the overall benefit calculation module is used to calculate the maximum overall benefit of the annealing furnace based on the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section and the target temperature of the heating section.
[0128] The regulating module is used to regulate the first gas flow, the first heating section waste heat exhaust gas flow, the second gas flow, the second heating section waste heat exhaust gas flow and the third gas flow according to the maximum overall benefit of the annealing furnace.
[0129] Specifically, the heating furnace includes a preheating section, a heating section and a heat preservation section. The waste heat exhaust gas in the heating section is transported to the preheating section and the heat preservation section through a pipeline. The preheating section, the heating section and the heat preservation section are all provided with burners, and each burner is equipped with a corresponding gas flow meter. Electric regulating valves and gas flow meters are respectively installed on the pipeline from the heating section to the preheating section and on the pipeline from the heating section to the heat preservation section. The flow rate of the waste heat exhaust gas generated by the heating section to the preheating section and the heat preservation section is controlled by controlling the electric regulating valve, and the flow rate of the waste heat exhaust gas is collected by the gas flow meter.
[0130] For the preheating section, a first temperature acquisition unit such as a temperature sensor is provided for acquiring the temperature of the preheating section, and the first gas flow rate can be acquired by a gas flow meter.
[0131] For the insulation section, a second temperature acquisition unit such as a temperature sensor is provided for acquiring the temperature of the insulation section, and the second gas flow rate can be acquired by a gas flow meter.
[0132] For the heating section, a third temperature acquisition unit such as a temperature sensor is provided for acquiring the temperature of the heating section, and the third gas flow rate can be acquired by a gas flow meter.
[0133] The first heating waste heat exhaust gas flow rate and the second heating section waste heat exhaust gas flow rate are controlled and regulated by controlling the electric regulating valve.
[0134] In order to ensure the complete combustion of the fuel gas, the preheating section, the heating section and the heat preservation section are each provided with an oxygen input mechanism for inputting oxygen.
[0135] The annealing furnace control system constructs an overall benefit model of the annealing furnace by acquiring the first relationship model, the second relationship model and the third relationship model, calculates the maximum overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section and the target temperature of the heating section, and adjusts the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate and the third gas flow rate according to the maximum overall benefit of the annealing furnace, which comprehensively considers the gas flow rate and waste heat exhaust gas flow rate required to be consumed in the three stages of the preheating section, the heating section and the insulation section, can obtain the maximum annealing benefit, and improve the energy-saving and cost-reduction effect of the annealing furnace.
[0136] The present invention also provides an annealing furnace control device, which includes: a controller; a memory storing executable instructions; wherein the executable instructions can be run on the controller and implement the annealing furnace control method.
[0137] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0138] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.
Claims
1. An annealing furnace control method, characterized in that: The annealing furnace control method comprises the following steps: Get the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section; For the preheating section, a first relationship model between the preheating section temperature, the first fuel gas flow rate, and the first heating section waste heat exhaust gas flow rate is obtained; For the insulation section, a second relationship model between the insulation section temperature, the second fuel gas flow rate, and the second heating section waste heat exhaust gas flow rate is obtained; For the heating section, a third relationship model between the heating section temperature and the third gas flow rate is obtained; Constructing an overall benefit model of an annealing furnace based on the first relationship model, the second relationship model and the third relationship model; Calculate the maximum value of the overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section; According to the maximum value of the overall benefit of the annealing furnace, adjusting the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate and the third gas flow rate; The specific method for constructing the overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model comprises the following steps: According to the first relationship model, obtaining a preheating section benefit function; According to the second relationship model, obtaining a benefit function of the heat preservation section; According to the third relationship model, obtaining a heating section benefit function; Constructing an overall benefit model of the annealing furnace according to the preheating section benefit function, the insulation section benefit function and the heating section benefit function; The preheating phase benefit function , the insulation section benefit function , the heating section benefit function , the overall benefit model of the annealing furnace ; in, represents a natural constant, Indicates the warm-up time. Indicates the holding time. Indicates the heating time. represents the warm-up time benefit factor, It represents the efficiency factor of the waste heat exhaust gas in the first heating section, represents the first gas efficiency factor, represents the waste heat exhaust gas flow function of the first heating section, represents the first gas flow function, represents the insulation time benefit factor, It represents the efficiency factor of waste heat exhaust gas in the second heating section, represents the second gas efficiency factor, represents the waste heat exhaust gas flow function of the second heating section, represents the second gas flow function, represents the heating time benefit factor, represents the third gas efficiency factor, represents a third gas flow function, wherein the sum of the waste heat exhaust gas flow of the first heating section and the waste heat exhaust gas flow of the second heating section is equal to the total waste heat exhaust gas flow discharged from the heating section; The annealing furnace control method further comprises the following steps: detecting a first carbon monoxide content of the waste heat exhaust gas in the first heating section, calculating a first optimal oxygen input amount according to the first carbon monoxide content, and inputting oxygen into the preheating section according to the first optimal oxygen input amount; Calculate the first heating section waste heat exhaust gas efficiency factor according to the first heating section waste heat exhaust gas flow rate and the first optimal oxygen input ; detecting a second carbon monoxide content of the waste heat exhaust gas in the second heating section, calculating a second optimal oxygen input amount according to the second carbon monoxide content, and inputting oxygen into the insulation section according to the second optimal oxygen input amount; Calculate the waste heat exhaust gas efficiency factor of the second heating section according to the waste heat exhaust gas flow rate of the second heating section and the second optimal oxygen input ; The first heating section waste heat exhaust gas efficiency factor , the efficiency factor of waste heat exhaust gas in the second heating section ; in, represents the waste heat exhaust gas flow rate of the first heating section, represents the waste heat exhaust gas flow rate of the second heating section, represents the first optimal oxygen input, represents the first correction coefficient, the second correction coefficient and the third correction coefficient, represents the second optimal oxygen input, represents the fourth correction coefficient, the fifth correction coefficient and the sixth correction coefficient; The first gas flow function is a function of the waste heat exhaust gas flow of the first heating section and the target temperature of the preheating section. ;in, Indicates the target temperature of the preheating stage. Indicates the initial temperature of the preheating section, Indicates the preset preheating temperature decay coefficient, Indicates the flow rate adjustment coefficient of the waste heat exhaust gas in the first heating section, which is set by the technicians; The second gas flow function is a function of the waste heat exhaust gas flow of the second heating section and the target temperature of the insulation section. ;in, Indicates the target temperature of the insulation section. Indicates the initial temperature of the insulation hot section, Indicates the preset insulation temperature decay coefficient, Indicates the flow rate adjustment coefficient of waste heat exhaust gas in the second heating section, which is set by the technicians; The third gas flow function is a function of the target temperature of the heating section. ;in, Indicates the target temperature of the heating section. Indicates the preset heating temperature decay coefficient, which is set by the technician.
2. An annealing furnace control method according to claim 1, characterized in that: For the preheating section, a specific method for constructing a first relationship model between the preheating section temperature, the first fuel gas flow rate, and the first heating section waste heat exhaust gas flow rate includes the following steps: Get the warm-up segment training samples; Construct a neural network model for the preheating stage; Training the preheating section neural network model based on the preheating section training samples, and using the trained preheating section neural network model as the first relationship model; The preheating section training samples include a preheating section temperature data set, a first fuel gas flow data set, and a first heating section waste heat exhaust gas flow data set.
3. An annealing furnace control method as claimed in claim 2, characterized in that: For the insulation section, a specific method for obtaining a second relationship model between the insulation section temperature, the second fuel gas flow rate, and the second heating section waste heat exhaust gas flow rate includes the following steps: Obtain the insulation section training sample; Construct a neural network model for the insulation section; Training the insulation section neural network model based on the insulation section training samples, and using the trained insulation section neural network model as the second relationship model; The insulation section training samples include an insulation section temperature data set, a second fuel gas flow data set, and a second heating section waste heat exhaust gas flow data set.
4. An annealing furnace control method as claimed in claim 3, characterized in that: For the heating section, a specific method for obtaining a third relationship model between the heating section temperature and the third gas flow rate includes the following steps: Obtain heating segment training samples; Construct a neural network model for the heating section; Training the heating section neural network model based on the heating section training samples, and using the trained heating section neural network model as the third relationship model; The heating section training samples include a heating section temperature data set and a third gas flow data set.
5. An annealing furnace control system, used to implement the annealing furnace control method according to any one of claims 1 to 4, characterized in that: The annealing furnace control system comprises: The temperature acquisition module is used to obtain the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section; a relationship model acquisition module, for acquiring, for the preheating section, a first relationship model between the preheating section temperature, the first gas flow rate, and the first heating section waste heat exhaust gas flow rate, for the insulation section, a second relationship model between the insulation section temperature, the second gas flow rate, and the second heating section waste heat exhaust gas flow rate, and for the heating section, a third relationship model between the heating section temperature and the third gas flow rate; A benefit model building module, used to build an overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model; an overall benefit calculation module, for calculating the maximum overall benefit of the annealing furnace according to the overall benefit model of the annealing furnace, the current temperature of the preheating section, the target temperature of the preheating section, the current temperature of the insulation section, the target temperature of the insulation section, the current temperature of the heating section, and the target temperature of the heating section; A regulating module, configured to regulate the first gas flow rate, the first heating section waste heat exhaust gas flow rate, the second gas flow rate, the second heating section waste heat exhaust gas flow rate and the third gas flow rate according to the maximum value of the overall benefit of the annealing furnace; The specific method for constructing the overall benefit model of the annealing furnace based on the first relationship model, the second relationship model and the third relationship model comprises the following steps: According to the first relationship model, obtaining a preheating section benefit function; According to the second relationship model, obtaining a benefit function of the heat preservation section; According to the third relationship model, obtaining a heating section benefit function; Constructing an overall benefit model of the annealing furnace according to the preheating section benefit function, the insulation section benefit function and the heating section benefit function; The preheating phase benefit function , the insulation section benefit function , the heating section benefit function , the overall benefit model of the annealing furnace ; in, represents a natural constant, Indicates the warm-up time. Indicates the holding time. Indicates the heating time. represents the warm-up time benefit factor, It represents the efficiency factor of the waste heat exhaust gas in the first heating section, represents the first gas efficiency factor, represents the waste heat exhaust gas flow function of the first heating section, represents the first gas flow function, represents the insulation time benefit factor, It represents the efficiency factor of waste heat exhaust gas in the second heating section, represents the second gas efficiency factor, represents the waste heat exhaust gas flow function of the second heating section, represents the second gas flow function, represents the heating time benefit factor, represents the third gas efficiency factor, represents a third gas flow function, wherein the sum of the waste heat exhaust gas flow of the first heating section and the waste heat exhaust gas flow of the second heating section is equal to the total waste heat exhaust gas flow discharged from the heating section; The annealing furnace control method further comprises the following steps: detecting a first carbon monoxide content of the waste heat exhaust gas in the first heating section, calculating a first optimal oxygen input amount according to the first carbon monoxide content, and inputting oxygen into the preheating section according to the first optimal oxygen input amount; Calculate the first heating section waste heat exhaust gas efficiency factor according to the first heating section waste heat exhaust gas flow rate and the first optimal oxygen input ; detecting a second carbon monoxide content of the waste heat exhaust gas in the second heating section, calculating a second optimal oxygen input amount according to the second carbon monoxide content, and inputting oxygen into the insulation section according to the second optimal oxygen input amount; Calculate the waste heat exhaust gas efficiency factor of the second heating section according to the waste heat exhaust gas flow rate of the second heating section and the second optimal oxygen input ; The first heating section waste heat exhaust gas efficiency factor , the efficiency factor of waste heat exhaust gas in the second heating section ; in, represents the waste heat exhaust gas flow rate of the first heating section, represents the waste heat exhaust gas flow rate of the second heating section, represents the first optimal oxygen input, represents the first correction coefficient, the second correction coefficient and the third correction coefficient, represents the second optimal oxygen input, represents the fourth correction coefficient, the fifth correction coefficient and the sixth correction coefficient; The first gas flow function is a function of the waste heat exhaust gas flow of the first heating section and the target temperature of the preheating section. ;in, Indicates the target temperature of the preheating stage. Indicates the initial temperature of the preheating section, Indicates the preset preheating temperature decay coefficient, Indicates the flow rate adjustment coefficient of the waste heat exhaust gas in the first heating section, which is set by the technicians; The second gas flow function is a function of the waste heat exhaust gas flow of the second heating section and the target temperature of the insulation section. ;in, Indicates the target temperature of the insulation section. Indicates the initial temperature of the insulation hot section, Indicates the preset insulation temperature decay coefficient, Indicates the flow rate adjustment coefficient of waste heat exhaust gas in the second heating section, which is set by the technicians; The third gas flow function is a function of the target temperature of the heating section. ;in, Indicates the target temperature of the heating section. Indicates the preset heating temperature decay coefficient, which is set by the technician.
6. An annealing furnace control device, characterized in that: The annealing furnace control device comprises: Controller; A memory storing executable instructions; The executable instructions can be run on the controller and implement the annealing furnace control method according to any one of claims 1 to 4.
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