A tundish baking intelligent control method and device

Abstract

The embodiment of the present application provides a kind of intermediate package baking intelligent control method and device, by real-time obtaining the actual temperature and furnace temperature set value of current time, determine the furnace temperature deviation of current time, and the furnace temperature deviation of current time and the furnace temperature set value of current time are applied fuzzy processing and distributed processing, determine the initial control parameter of furnace temperature of current time, using the change rate of furnace temperature deviation of current time corrects the initial control parameter of furnace temperature of current time, obtains the furnace temperature control parameter of current time, and using the furnace temperature control parameter of current time adjusts intermediate package heating device, so that the temperature of intermediate package tracks the preset furnace temperature control curve is adjusted, not only solve the deviation problem that manual control intermediate package temperature faces, also improve the use efficiency of energy medium such as coal gas, for the energy-saving and efficiency-increasing production control target of steel enterprise plays an important role.

Description

Technical Field

[0001] This invention relates to the field of temperature control for baking intermediate bread in billets, and more particularly to an intelligent control method and apparatus for baking intermediate bread. Background Technology

[0002] Temperature control is a crucial parameter in modern industrial automation control. However, temperature control in industrial equipment control suffers from significant nonlinearity, time delay, and large inertia, especially in large industrial equipment where these nonlinearities and time delays amplify with equipment specifications. In the steel smelting industry, tundish baking requires preheating the tundish that receives molten steel. The preheating temperature is controlled by adjusting the gas flow, reaching 1200-1500 degrees Celsius. The tundish has a large volume, and the thickness of its inner wall material varies with production demands. Therefore, current tundish baking temperature control involves a complex process with multiple variables and time-varying parameters. Currently, in the billet tundish baking process, temperature control is manually adjusted, meaning the gas flow is adjusted based on temperature observation, thereby regulating the heat output.

[0003] In the process of developing this invention, the applicant discovered at least the following problems in the prior art:

[0004] Manual temperature control has low temperature accuracy and is complex to operate, which can easily lead to large temperature deviations in the tundish, resulting in a decrease in the refractory life of the tundish. Summary of the Invention

[0005] This invention provides an intelligent control method and device for baking intermediate bread, which solves the problems of low temperature accuracy and complex control in manual temperature control, which easily leads to large temperature deviations in the intermediate bread and reduces the service life of the intermediate bread's refractory material.

[0006] To achieve the above objectives, in one aspect, embodiments of the present invention provide an intelligent control method for baking intermediate bread, comprising:

[0007] The actual temperature of the sample intermediate package at the current moment;

[0008] Obtain the furnace temperature setpoint corresponding to the current moment from the preset furnace temperature control curve;

[0009] The furnace temperature deviation at the current moment is determined based on the actual temperature at the current moment and the furnace temperature setpoint at the current moment;

[0010] Based on the combination of fuzzy processing of the furnace temperature deviation at the current moment and distributed processing of the furnace temperature setpoint at the current moment, the coordinates of the initial control parameters of the furnace temperature at the current moment are determined. The preset furnace temperature control coefficient table is queried according to the coordinates of the initial control parameters of the furnace temperature at the current moment to obtain the furnace temperature control coefficient at the current moment. Based on the obtained furnace temperature control coefficient at the current moment, the initial control parameters of the furnace temperature at the current moment are determined.

[0011] The rate of change of the furnace temperature deviation at the current moment is determined based on the furnace temperature deviation at the previous moment and the furnace temperature deviation at the current moment.

[0012] Multiply the rate of change of the furnace temperature deviation at the current moment by the initial control parameter of the furnace temperature at the current moment to obtain the furnace temperature control parameter at the current moment.

[0013] The intermediate ladle heating device is adjusted by using the furnace temperature control parameters at the current moment to make the temperature of the intermediate ladle track the preset furnace temperature control curve.

[0014] The furnace temperature deviation at the previous moment is determined based on the actual temperature at the previous moment and the furnace temperature set value corresponding to the previous moment on the preset furnace temperature control curve; the preset furnace temperature control curve includes a furnace temperature rising segment and a furnace temperature holding segment following the furnace temperature rising segment.

[0015] On the other hand, embodiments of the present invention provide an intelligent control device for baking intermediate bread, comprising:

[0016] The current actual temperature acquisition unit is used to sample the actual temperature of the intermediate package at the current moment;

[0017] The current furnace temperature setpoint acquisition unit is used to acquire the furnace temperature setpoint corresponding to the current moment from the preset furnace temperature control curve;

[0018] The furnace temperature deviation determination unit is used to determine the furnace temperature deviation at the current moment based on the actual temperature at the current moment and the furnace temperature set value at the current moment.

[0019] The initial control parameter determination unit is used to determine the coordinates of the initial control parameters of the furnace temperature at the current moment based on a combination of fuzzy processing of the furnace temperature deviation at the current moment and distributed processing of the furnace temperature setpoint at the current moment; to query the preset furnace temperature control coefficient table according to the coordinates of the initial control parameters of the furnace temperature at the current moment to obtain the furnace temperature control coefficient at the current moment; and to determine the initial control parameters of the furnace temperature at the current moment based on the obtained furnace temperature control coefficient at the current moment.

[0020] The furnace temperature deviation change rate determination unit is used to determine the furnace temperature deviation change rate at the current moment based on the furnace temperature deviation at the current moment and the furnace temperature deviation at the previous moment.

[0021] The current furnace temperature control parameter determination unit is used to multiply the furnace temperature deviation change rate at the current moment by the initial furnace temperature control parameter at the current moment to obtain the furnace temperature control parameter at the current moment.

[0022] The furnace temperature regulation unit is used to adjust the intermediate ladle heating device according to the furnace temperature control parameters at the current moment, so that the temperature of the intermediate ladle tracks the preset furnace temperature control curve for adjustment.

[0023] The furnace temperature deviation at the previous moment is determined based on the actual temperature at the previous moment and the furnace temperature set value corresponding to the previous moment on the preset furnace temperature control curve; the preset furnace temperature control curve includes a furnace temperature rising segment and a furnace temperature holding segment following the furnace temperature rising segment.

[0024] The above technical solution has the following beneficial effects: By obtaining the actual temperature and furnace temperature setpoint at the current moment in real time, the furnace temperature deviation at the current moment is determined. Fuzzy processing and distributed processing are applied to the furnace temperature deviation and the furnace temperature setpoint at the current moment to determine the initial control parameters of the furnace temperature at the current moment. The initial control parameters of the furnace temperature at the current moment are corrected using the rate of change of the furnace temperature deviation at the current moment to obtain the furnace temperature control parameters at the current moment. Furthermore, the furnace temperature control parameters at the current moment are used to adjust the tundish heating device (e.g., a gas regulating valve) so that the temperature of the tundish tracks the preset furnace temperature control curve. This not only solves the deviation problem faced by manually controlling the tundish temperature, but also improves the efficiency of energy media such as gas, playing an important role in the energy-saving and efficiency-enhancing production control goals of steel enterprises. This system enables automated baking of billet tundishes, controlling the temperature according to the refractory material requirements of the tundish. It achieves precise temperature control during the baking process, resolving the nonlinearity, time lag, and large inertia issues inherent in temperature control of large industrial equipment like tundishes. This results in stable and robust tundish temperature control, meeting the needs of steel plants to extend equipment lifespan and improve energy efficiency, and enhancing the automation of steelmaking equipment. Testing shows that the tundish temperature control process meets the continuous casting production process requirements with 100% accuracy. The accuracy of the entire control process for the refractory material temperature curve requirements of the tundish exceeds 90%. In particular, it solves the problem of explosiveness caused by rapid initial heating in manual baking. Furthermore, it significantly reduces gas consumption per baking cycle. In manual mode, the regulating valve remains at a fixed opening during baking, and each baker consumes only 70 km³ of coke oven gas during the entire 3-hour baking process. 3 (cubic kilometers), while in this embodiment of the invention, after the temperature is automatically controlled to adjust the gas valve flow rate, the gas volume decreases to 62 km³. 3 This represents a decrease of 11.43% compared to the previous figure. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 This is a flowchart of an intelligent control method for baking intermediate bread, one of the embodiments of the present invention;

[0027] Figure 2 This is an architectural diagram of an intelligent control device for baking intermediate bread, one of the embodiments of the present invention;

[0028] Figure 3 This is a schematic diagram illustrating the control principle of an intelligent control method for baking intermediate bread, one of the embodiments of the present invention.

[0029] Figure 4 This is a comparison chart of the temperature rise curves of manually controlled intermediate bread baking under existing technology;

[0030] Figure 5 This is a comparison chart of the heating curves of an intelligent control method for baking intermediate bread, one of the embodiments of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] The inventors discovered that conventional negative feedback closed-loop control systems in existing technologies struggle to effectively address the significant lag problem in temperature control. The increased temperature deviation caused by this lag can lead to equipment malfunction. For example, in continuous casting tundish baking, the temperature control is a continuous heating process. During this heating process, the negative temperature deviation due to temperature lag can reduce the output (valve opening), potentially causing a temperature drop. This affects the safety of the control system and can directly lead to production stoppage. Manual control of the tundish temperature requires a high level of proficiency, and such manual adjustments easily result in large temperature deviations, especially concerning the required temperature rise curve for the refractory lining. Manual adjustments are often insufficient to meet this requirement, leading to a decrease in the refractory lifespan of the tundish. To address the deviation problem encountered in manually controlling the tundish temperature, this invention provides an embodiment.

[0033] On the one hand, such as Figure 1As shown, this embodiment of the invention provides an intelligent control method for baking intermediate bread, including:

[0034] Step S10: Sample the actual temperature of the intermediate package at the current moment;

[0035] Step S11: Obtain the furnace temperature setpoint corresponding to the current moment from the preset furnace temperature control curve;

[0036] Step S12: Determine the furnace temperature deviation at the current moment based on the actual temperature at the current moment and the furnace temperature setpoint at the current moment;

[0037] Step S13: Based on the combination of fuzzy processing of the furnace temperature deviation at the current moment and distributed processing of the furnace temperature setpoint at the current moment, determine the coordinates of the initial control parameters of the furnace temperature at the current moment; query the preset furnace temperature control coefficient table according to the coordinates of the initial control parameters of the furnace temperature at the current moment to obtain the furnace temperature control coefficient at the current moment; and determine the initial control parameters of the furnace temperature at the current moment according to the obtained furnace temperature control coefficient at the current moment.

[0038] Step S14: Determine the rate of change of the furnace temperature deviation at the current moment based on the furnace temperature deviation at the current moment and the furnace temperature deviation at the previous moment.

[0039] Step S15: Multiply the rate of change of the furnace temperature deviation at the current moment by the initial control parameter of the furnace temperature at the current moment to obtain the furnace temperature control parameter at the current moment.

[0040] Step S16: Adjust the intermediate ladle heating device according to the furnace temperature control parameters at the current moment, so that the temperature of the intermediate ladle tracks the preset furnace temperature control curve.

[0041] The furnace temperature deviation at the previous moment is determined based on the actual temperature at the previous moment and the furnace temperature set value corresponding to the previous moment on the preset furnace temperature control curve; the preset furnace temperature control curve includes a furnace temperature rising segment and a furnace temperature holding segment following the furnace temperature rising segment.

[0042] In some embodiments, during the preset process of the intermediate package, it is necessary to control the intermediate package temperature to rise in accordance with a preset furnace temperature control curve. From the initial stage of heating, the actual temperature of the intermediate package is collected in real time at each moment. The furnace temperature setpoint corresponding to the current moment is obtained from the preset furnace temperature control curve. The furnace temperature deviation at the current moment is determined based on the actual temperature and the furnace temperature setpoint. A furnace temperature control coefficient table is pre-established. This table is a two-dimensional table. By fuzzy processing of the furnace temperature deviation at the current moment, instead of directly using the precise value, the initial furnace temperature control parameters at the current moment are determined using a fuzzy processing method based on the deviation value. Specifically, the furnace temperature deviation value at the current moment can be converted into a range interval. This range interval is used to query the furnace temperature control coefficient table. Since different furnace temperature deviation values ​​may fall within the same or different range intervals, a fuzzy query of the furnace temperature control coefficient table is achieved. When querying the furnace temperature control coefficient table, in addition to considering the furnace temperature deviation at the current moment, it is also necessary to consider the furnace temperature setpoint at the current moment. The furnace temperature setpoint comes from the values ​​corresponding to different moments on the preset furnace temperature control curve. The furnace temperature setpoint at the current moment can be processed in a distributed manner. Specifically, the intermediate ladle temperature needs to be continuously increased during the heating process. The temperature change range of the heating stage on the furnace temperature control curve can be continuously divided into at least one furnace temperature setpoint stage. Based on the furnace temperature setpoint stage where the current furnace temperature setpoint is located and the range obtained by converting the furnace temperature deviation value at the current moment, the furnace temperature control coefficient table is queried together to determine the initial furnace temperature control parameters at the current moment. In the above process, the heating stage on the furnace temperature control curve is divided, and each furnace temperature setpoint stage is controlled separately, achieving distributed control. Simultaneously, the furnace temperature control coefficient table does not directly use the furnace temperature setpoint and deviation value at a specific moment. Instead, it uses the furnace temperature setpoint stage and the range of the furnace temperature deviation value to determine the corresponding furnace temperature control coefficient. This applies fuzzy processing to both the furnace temperature setpoint and deviation value, making the control process more stable and robust. The furnace temperature control coefficient table can be used to match corresponding furnace temperature control coefficients to different heating stages, achieving more precise tracking of the furnace temperature control curve. The furnace temperature control parameters are obtained by multiplying the initial furnace temperature control parameters by the rate of change of the furnace temperature deviation. The rate of change of the furnace temperature deviation is less than 1 when the furnace temperature changes rapidly, and greater than 1 when the furnace temperature changes slowly. After obtaining the initial furnace temperature control parameters at the current moment, the initial furnace temperature control parameters are corrected according to the rate of change of the furnace temperature deviation to obtain the final furnace temperature control parameters. For example, if the temperature changes rapidly (furnace temperature deviation rate < 1), it means the adjustment rate is too fast, and the furnace temperature control parameters need to be reduced. Therefore, the furnace temperature control parameters are obtained by multiplying the initial furnace temperature control parameters by the furnace temperature deviation rate, ensuring that the most reasonable furnace temperature control parameters are obtained.By cyclically executing steps S10 to S16, the oven temperature is adjusted by tracking the oven temperature control curve. This invention can be implemented using a PLC, meaning it provides a PLC-based intelligent control method for baking intermediate bread.

[0043] The embodiments of the present invention have the following technical effects: By obtaining the actual temperature and furnace temperature setpoint at the current moment in real time, the furnace temperature deviation at the current moment is determined, and fuzzy processing and distributed processing are applied to the furnace temperature deviation and the furnace temperature setpoint at the current moment to determine the initial control parameters of the furnace temperature at the current moment. The initial control parameters of the furnace temperature at the current moment are corrected using the rate of change of the furnace temperature deviation at the current moment to obtain the furnace temperature control parameters at the current moment. Furthermore, the furnace temperature control parameters at the current moment are used to adjust the tundish heating device (e.g., a gas regulating valve) so that the temperature of the tundish tracks the preset furnace temperature control curve for adjustment. This not only solves the deviation problem faced by manually controlling the tundish temperature, but also improves the efficiency of energy media such as gas, playing an important role in the energy-saving and efficiency-enhancing production control goals of steel enterprises. This system enables automated baking of billet tundishes, controlling the temperature according to the refractory material requirements of the tundish. It achieves precise temperature control during the baking process, resolving the nonlinearity, time lag, and large inertia issues inherent in temperature control of large industrial equipment like tundishes. This results in stable and robust tundish temperature control, meeting the needs of steel plants to extend equipment lifespan and improve energy efficiency, and enhancing the automation of steelmaking equipment. Testing shows that the tundish temperature control process meets the continuous casting production process requirements with 100% accuracy. The accuracy of the entire control process for the refractory material temperature curve requirements of the tundish exceeds 90%. In particular, it solves the problem of explosiveness caused by rapid initial heating in manual baking. Furthermore, it significantly reduces gas consumption per baking cycle. In manual mode, the regulating valve remains at a fixed opening during baking, and each baker consumes only 70 km³ of coke oven gas during the entire 3-hour baking process. 3 (cubic kilometers), while in this embodiment of the invention, after the temperature is automatically controlled to adjust the gas valve flow rate, the gas volume decreases to 62 km³. 3 This represents a decrease of 11.43% compared to the previous figure.

[0044] Furthermore, the furnace temperature holding section is preset with a corresponding target temperature range, and the method further includes:

[0045] Once the temperature of the tundish reaches the target holding temperature range corresponding to the furnace temperature holding section, the adjustment of the furnace temperature control parameters on the tundish heating device is stopped, and the preset furnace temperature holding control parameters are applied to the tundish heating device to keep the temperature of the tundish within the target holding temperature range.

[0046] In some embodiments, during the baking process of the intermediate bread, when transitioning from the oven temperature rise phase to the oven temperature holding phase, due to the system's large hysteresis and inertia, if only the control method of the oven temperature rise phase is followed, although the baking system has already transitioned to a holding temperature state, the temperature will continue to rise because the temperature rise control effect of the previous stage has not completely stopped. This will cause the actual temperature to first exceed the predetermined curve before slowly decreasing, resulting in poor final temperature control. Therefore, temperature changes should be reduced in advance. When entering the oven temperature holding phase, a fixed preset oven temperature holding control parameter should be directly provided. This preset oven temperature holding control parameter is derived from experimental analysis to obtain the optimal output value, thereby ensuring a smooth transition from the oven temperature rise phase to the oven temperature holding phase. Simultaneously, when transitioning from the furnace temperature rise stage to the furnace temperature holding stage, the furnace temperature setpoint corresponding to the holding stage can be reduced by a preset temperature value from the original furnace temperature setpoint to a new furnace temperature setpoint. For example, before entering the furnace temperature holding stage, the original furnace temperature setpoint corresponding to the holding stage is 1250 degrees Celsius. When transitioning from the furnace temperature rise stage to the furnace temperature holding stage, the original furnace temperature setpoint corresponding to the holding stage is reduced by 50 degrees Celsius (i.e., the preset temperature value) to a new furnace temperature setpoint of 1200 degrees Celsius. In this way, by reducing the furnace temperature setpoint in advance, the final temperature change curve is fitted, ensuring that in the initial part of entering the next stage, the optimized adjustment output value is directly entered, ensuring the accuracy of the entire temperature control.

[0047] The embodiments of the present invention have the following technical effects: when the furnace temperature changes from the furnace temperature rising stage to the furnace temperature holding stage, the preset furnace temperature holding control parameters are used instead of the furnace temperature control parameters used at the last moment in the furnace temperature rising stage, thereby avoiding overshoot and backtracking of the actual temperature, making the process of the furnace temperature changing from the furnace temperature rising stage to the furnace temperature holding stage smoother, and ensuring the accuracy of the entire temperature control.

[0048] Furthermore, based on a combination of fuzzy processing of the furnace temperature deviation at the current moment and distributed processing of the furnace temperature setpoint at the current moment, the coordinates of the initial furnace temperature control parameters at the current moment are determined. The preset furnace temperature control coefficient table is then queried based on these coordinates to obtain the furnace temperature control coefficients at the current moment. Finally, the initial furnace temperature control parameters at the current moment are determined based on these obtained coefficients, including:

[0049] Based on the current furnace temperature setting value, determine the furnace temperature setting value stage in which the current furnace temperature setting value is located from at least one preset furnace temperature setting value stage;

[0050] Multiply the furnace temperature deviation at the current moment by the first scaling factor to obtain the quantized furnace temperature deviation at the current moment;

[0051] The current quantized furnace temperature deviation is divided into segments of 10 degrees Celsius each, and the quantized furnace temperature deviation segment number of the current quantized furnace temperature deviation segment is determined.

[0052] The furnace temperature setpoint at the current moment and the quantized furnace temperature deviation segment number at the current moment are used as the initial control parameter coordinates of the furnace temperature at the current moment. The preset furnace temperature control coefficient table is queried according to the initial control parameter coordinates of the furnace temperature at the current moment to determine the furnace temperature control coefficient at the current moment.

[0053] Multiply the furnace temperature control coefficient at the current moment by the quantized furnace temperature deviation segment number of the quantized furnace temperature deviation segment at the current moment to obtain the initial furnace temperature control parameters at the current moment.

[0054] Specifically, the range of furnace temperature setpoints is pre-divided into at least one continuous furnace temperature setpoint stage; in the pre-set furnace temperature control coefficient table, a corresponding furnace temperature control coefficient is pre-set for the quantized furnace temperature deviation segment number corresponding to each quantized furnace temperature deviation segment of each furnace temperature setpoint stage.

[0055] In some embodiments, a preset furnace temperature control curve defines the range of furnace temperature setpoints. The range of furnace temperature setpoints is pre-divided into at least one preset furnace temperature setpoint stage. After obtaining the current furnace temperature setpoint, the furnace temperature setpoint stage in which the current furnace temperature setpoint belongs is determined, thereby blurring the specific furnace temperature setpoint at the current moment to its corresponding furnace temperature setpoint stage. The furnace temperature deviation at the current moment is multiplied by a first scaling factor to obtain the quantized furnace temperature deviation at the current moment. The furnace temperature deviation comes from the difference between the actual temperature and the furnace temperature setpoint. The furnace temperature deviation is scaled using the first scaling factor to scale it to a more suitable level for subsequent processing steps, thus obtaining the quantized furnace temperature deviation. The first scaling factor can be obtained statistically from multiple historical data collected during production. The furnace temperature deviation can be positive, negative, or 0. The current quantized furnace temperature deviation is divided into segments of 10 degrees Celsius each. The segment number of the current quantized furnace temperature deviation segment is determined, and this segment number can also be positive, negative, or 0. The furnace temperature control coefficient table is consulted to obtain the furnace temperature setpoint stage and the segment number of the current quantized furnace temperature deviation segment. The furnace temperature control coefficient at the corresponding cell position is then multiplied by the segment number of the current quantized furnace temperature deviation segment to obtain the initial furnace temperature control parameters for the current moment. In the furnace temperature control coefficient table, the same furnace temperature control coefficient can be used for all quantized furnace temperature deviation segment numbers corresponding to each furnace temperature setpoint stage, or different furnace temperature control coefficients can be used for each segment.

[0056] The embodiments of the present invention have the following technical effects: by looking up the furnace temperature control coefficient in the table, the furnace temperature control parameters can be obtained. The furnace temperature control coefficient in the table can be set in a targeted manner according to the specific site conditions. The furnace temperature control coefficient at any position in the table can be adjusted individually as needed, so as to achieve flexible and precise adjustment of the furnace temperature control process and achieve the purpose of precise furnace temperature control.

[0057] Further, based on the furnace temperature deviation at the current moment and the furnace temperature deviation at the previous moment, the rate of change of the furnace temperature deviation at the current moment is determined, including:

[0058] The change in furnace temperature deviation at the current moment is obtained by subtracting the furnace temperature deviation at the previous moment from the furnace temperature deviation at the current moment.

[0059] Multiply the current furnace temperature variation value by the second scaling factor to obtain the current quantized furnace temperature deviation value.

[0060] Divide the quantized furnace temperature deviation change value at the current moment by the time difference between the current moment and the previous moment to obtain the furnace temperature deviation change rate at the current moment.

[0061] In some embodiments, the rate of change of furnace temperature deviation at the current moment is obtained. The rate of change of furnace temperature deviation is less than 1 when the furnace temperature changes rapidly, and greater than 1 when the furnace temperature changes slowly. After obtaining the initial control parameters of the furnace temperature at the current moment, the initial control parameters of the furnace temperature are corrected according to the rate of change of furnace temperature deviation to obtain the furnace temperature control parameters. For example, if the temperature changes rapidly (rate of change of furnace temperature deviation < 1), it indicates that the adjustment rate is too fast, that is, the furnace temperature control parameters need to be reduced. Therefore, the initial control parameters of the furnace temperature are multiplied by the rate of change of furnace temperature deviation to obtain the furnace temperature control parameters, ensuring that the most reasonable furnace temperature control parameters are obtained.

[0062] The embodiments of the present invention have the following technical effects: The initial furnace temperature control parameters are corrected based on the rate of change of furnace temperature deviation to obtain the furnace temperature control parameters. This allows for timely detection of excessively fast or slow furnace temperature adjustment rates, and timely correction of the initial furnace temperature control parameters upon detection, ensuring that the furnace temperature control process conforms to the furnace temperature control curve.

[0063] Furthermore, when the current furnace temperature setpoint of the intermediate ladle is equal to the furnace temperature setpoint at the boundary between two adjacent furnace temperature setpoint stages, the intermediate ladle heating device is controlled using the preset furnace temperature control parameter corresponding to the furnace temperature setpoint at the boundary.

[0064] In some embodiments, at the junction (boundary) of adjacent furnace temperature setpoint stages, due to the different heating rates of each furnace temperature setpoint stage, the temperature control curves after the junction of each furnace temperature setpoint stage may exhibit over-adjustment or under-adjustment. Therefore, a suitable fixed output value (i.e., a preset furnace temperature control parameter corresponding to the furnace temperature setpoint at the boundary) is given to each junction point to prevent over-adjustment or under-adjustment when crossing furnace temperature setpoint stages.

[0065] Furthermore, the at least one furnace temperature setting stage specifically includes: a first furnace temperature setting stage of 0-100℃, a second furnace temperature setting stage of 100-580℃, a third furnace temperature setting stage of 580-1000℃, a fourth furnace temperature setting stage of 1000-1100℃, a fifth furnace temperature setting stage of 1100-1200℃, and a sixth furnace temperature setting stage of constant temperature at 1200℃;

[0066] The furnace temperature control coefficients for each furnace temperature setpoint stage are as follows: the furnace temperature control coefficient for the first furnace temperature setpoint stage is 0, the furnace temperature control coefficient for the second furnace temperature setpoint stage is 0.02, the furnace temperature control coefficient for the third furnace temperature setpoint stage is 0.01, the furnace temperature control coefficient for the fourth furnace temperature setpoint stage is 0.02, the furnace temperature control coefficient for the fifth furnace temperature setpoint stage is 0.03, and the furnace temperature control coefficient for the sixth furnace temperature setpoint stage is 0.01.

[0067] In some embodiments of the present invention, the intermediate packaging material mainly includes two types: insulation board and coating; the insulation board material includes at least one or more of magnesium silicate, aluminum magnesium spinel mixture, phosphate and cement; the coating includes at least one or more of magnesium calcium and anti-oxidation material raw clay. The specific specifications of the ladle are: a capacity of 68 tons or more of molten steel, a volume of 11 cubic meters, and a height of 1.2 meters; at least one preset furnace temperature setting stage is included, specifically: the first furnace temperature setting stage is 0-100℃, the second furnace temperature setting stage is 100-580℃, the third furnace temperature setting stage is 580-1000℃, the fourth furnace temperature setting stage is 1000-1100℃, the fifth furnace temperature setting stage is 1100-1200℃, and the sixth furnace temperature setting stage is a constant temperature of 1200℃; the preset furnace temperature control coefficients for each furnace temperature setting stage are as follows: the furnace temperature control coefficient for the first furnace temperature setting stage is 0, the furnace temperature control coefficient for the second furnace temperature setting stage is 0.02, the furnace temperature control coefficient for the third furnace temperature setting stage is 0.01, the furnace temperature control coefficient for the fourth furnace temperature setting stage is 0.02, the furnace temperature control coefficient for the fifth furnace temperature setting stage is 0.03, and the furnace temperature control coefficient for the sixth furnace temperature setting stage is 0.01.In the first furnace temperature setting stage (0-100℃), the actual temperature is between room temperature and 100℃. Due to the short temperature range, traditional feedback control is ineffective. Therefore, in this embodiment, the furnace temperature control coefficient is set to 0 during the first furnace temperature setting stage (0-100℃), and a fixed opening output is used. The initial fixed output is a small opening value to ensure a slow temperature rise in the furnace, solving the problem of rapid temperature rise at low temperatures. In the second furnace temperature setting stage (100-580℃), which is a medium-low temperature stage, the refractory material properties are greatly affected by temperature changes. Temperature changes have a significant impact on the material's service life and performance. Large temperature deviations during this stage can lead to negative effects such as material breakage and poor service life. In this embodiment, based on the refractory characteristics of the tundish lining, the furnace temperature is kept to rise linearly, i.e., a control coefficient of 0.02 is given to avoid the explosiveness caused by a rapid temperature rise, which could affect the refractory life of the tundish lining material. The third furnace temperature setting stage (580-1000℃) is the main heating stage. During this stage, the baking time is relatively long and the temperature rise is slow, so a lower temperature control coefficient of 0.01 is used. The fourth furnace temperature setting stage (1000-1100℃) is the continuous heating stage. As the temperature gradually increases, the temperature change inside the furnace slows down in the high-temperature stage, meaning the temperature rise rate slows. To maintain a normal adjustment speed, the temperature control coefficient is gradually increased from 0.01 in the previous stage to 0.02. The fifth furnace temperature setting stage (1100-1200℃) is the final continuous heating stage. Similar to the fourth furnace temperature setting stage, the temperature change inside the furnace slows down in the high-temperature stage, meaning the temperature rise rate slows. To maintain a normal adjustment speed, the temperature control coefficient is gradually increased from 0.02 in the previous stage to 0.03. The sixth furnace temperature setting stage is the constant temperature stage. This stage is a stable control stage, where slow adjustment is used to ensure a constant temperature effect.

[0068] The embodiments of the present invention have the following technical advantages: In the prior art, during manual baking, the gas regulating valve (intermediate ladle heating device) maintains an average opening of 18%, and outputs baking at 20% opening during the heat preservation stage, with a baking time of 3 hours; in contrast, the embodiments of the present invention initially set at 9%, then automatically adjust and control, especially at approximately 16% during the final heat preservation stage, with an average automatic baking opening of 15.7%. Figure 4 The actual temperature curves (solid lines represent the actual temperature curves, and dashed lines represent the preset furnace temperature control curves) also show that, under manual conditions, the furnace temperature rises rapidly, the opening is too large, and energy is wasted. Under manual conditions, the regulating valve remains at a fixed opening during baking, and each oven consumes 70 km³ of coke oven gas during the entire 3-hour baking process. 3 (cubic kilometers), while in this embodiment of the invention, after the temperature is automatically controlled to adjust the gas valve flow rate, the gas volume decreases to 62 km³. 3 This represents a decrease of 11.43% compared to the previous figure.

[0069] On the other hand, such as Figure 2 As shown, an embodiment of the present invention provides an intelligent control device for baking intermediate bread, comprising:

[0070] The current actual temperature acquisition unit 200 is used to sample the actual temperature of the intermediate package at the current moment;

[0071] The current furnace temperature setpoint acquisition unit 201 is used to acquire the furnace temperature setpoint corresponding to the current moment from the preset furnace temperature control curve;

[0072] The furnace temperature deviation determination unit 202 is used to determine the furnace temperature deviation at the current moment based on the actual temperature at the current moment and the furnace temperature set value at the current moment.

[0073] The initial control parameter determination unit 203 is used to determine the coordinates of the initial control parameters of the furnace temperature at the current moment based on a combination of fuzzy processing of the furnace temperature deviation at the current moment and distributed processing of the furnace temperature setpoint at the current moment; to query the preset furnace temperature control coefficient table according to the coordinates of the initial control parameters of the furnace temperature at the current moment to obtain the furnace temperature control coefficient at the current moment; and to determine the initial control parameters of the furnace temperature at the current moment based on the obtained furnace temperature control coefficient at the current moment.

[0074] The furnace temperature deviation change rate determination unit 204 is used to determine the furnace temperature deviation change rate at the current moment based on the furnace temperature deviation at the current moment and the furnace temperature deviation at the previous moment.

[0075] The current furnace temperature control parameter determination unit 205 is used to multiply the furnace temperature deviation change rate at the current moment by the initial furnace temperature control parameter at the current moment to obtain the furnace temperature control parameter at the current moment.

[0076] The furnace temperature adjustment unit 206 is used to adjust the intermediate ladle heating device according to the furnace temperature control parameters at the current moment, so that the temperature of the intermediate ladle tracks the preset furnace temperature control curve for adjustment.

[0077] The oven temperature deviation at the previous moment is determined based on the actual temperature at the previous moment and the oven temperature setpoint corresponding to the previous moment on the preset oven temperature control curve. The preset oven temperature control curve includes an oven temperature rise segment and an oven temperature holding segment following the oven temperature rise segment. This embodiment of the invention can be implemented based on a PLC, that is, this embodiment of the invention can provide a PLC-based intelligent control device for intermediate bread baking.

[0078] Furthermore, the furnace temperature holding section is preset with a corresponding target temperature range, and the device further includes:

[0079] The furnace temperature holding control unit is used to stop adjusting the furnace temperature control parameters on the tundish heating device when the temperature of the tundish reaches the target holding temperature range corresponding to the furnace temperature holding section, and to apply preset furnace temperature holding control parameters to the tundish heating device so that the temperature of the tundish is maintained within the target holding temperature range.

[0080] Furthermore, the initial control parameter determination unit 203 includes:

[0081] The furnace temperature setpoint stage determination module is used to determine the furnace temperature setpoint stage in which the current furnace temperature setpoint is located from at least one preset furnace temperature setpoint stage based on the current furnace temperature setpoint.

[0082] The quantization deviation determination module is used to multiply the furnace temperature deviation at the current moment by a first scaling factor to obtain the quantized furnace temperature deviation at the current moment.

[0083] The quantitative furnace temperature deviation segment determination module is used to divide the quantitative furnace temperature deviation at the current moment into segments of 10 degrees Celsius each, and determine the quantitative furnace temperature deviation segment number of the quantitative furnace temperature deviation segment to which the quantitative furnace temperature deviation at the current moment belongs.

[0084] The furnace temperature initial control parameter determination module is used to take the furnace temperature setpoint stage where the current furnace temperature setpoint is located and the quantized furnace temperature deviation segment number of the quantized furnace temperature deviation segment where the current quantized furnace temperature deviation is located as the coordinates of the furnace temperature initial control parameters at the current time, and to query the preset furnace temperature control coefficient table based on the coordinates of the furnace temperature initial control parameters at the current time to determine the furnace temperature control coefficient at the current time.

[0085] Multiply the furnace temperature control coefficient at the current moment by the quantized furnace temperature deviation segment number of the quantized furnace temperature deviation segment at the current moment to obtain the initial furnace temperature control parameters at the current moment.

[0086] Specifically, the range of furnace temperature setpoints is pre-divided into at least one continuous furnace temperature setpoint stage; in the pre-set furnace temperature control coefficient table, a corresponding furnace temperature control coefficient is pre-set for the quantized furnace temperature deviation segment number corresponding to each quantized furnace temperature deviation segment of each furnace temperature setpoint stage.

[0087] Furthermore, the furnace temperature deviation change rate determination unit 204 is specifically configured as follows: subtracting the furnace temperature deviation of the previous moment from the furnace temperature deviation at the current moment to obtain the furnace temperature deviation change value at the current moment; multiplying the furnace temperature deviation change value at the current moment by a second scaling factor to obtain the quantized furnace temperature deviation change value at the current moment; and dividing the quantized furnace temperature deviation change value at the current moment by the time difference between the current moment and the previous moment to obtain the furnace temperature deviation change rate at the current moment.

[0088] Furthermore, the device also includes: an inter-stage control unit, used to control the intermediate ladle heating device using a preset furnace temperature control parameter corresponding to the furnace temperature setting value at the boundary between two adjacent furnace temperature setting value stages when the current furnace temperature setting value of the intermediate ladle is equal to the furnace temperature setting value at the boundary between two adjacent furnace temperature setting value stages.

[0089] Furthermore, the at least one furnace temperature setting stage specifically includes: a first furnace temperature setting stage of 0-100℃, a second furnace temperature setting stage of 100-580℃, a third furnace temperature setting stage of 580-1000℃, a fourth furnace temperature setting stage of 1000-1100℃, a fifth furnace temperature setting stage of 1100-1200℃, and a sixth furnace temperature setting stage of constant temperature at 1200℃;

[0090] The furnace temperature control coefficients for each furnace temperature setpoint stage are as follows: the furnace temperature control coefficient for the first furnace temperature setpoint stage is 0, the furnace temperature control coefficient for the second furnace temperature setpoint stage is 0.02, the furnace temperature control coefficient for the third furnace temperature setpoint stage is 0.01, the furnace temperature control coefficient for the fourth furnace temperature setpoint stage is 0.02, the furnace temperature control coefficient for the fifth furnace temperature setpoint stage is 0.03, and the furnace temperature control coefficient for the sixth furnace temperature setpoint stage is 0.01.

[0091] The embodiments of the present invention are device embodiments corresponding to the foregoing method embodiments. The embodiments of the present invention can be understood based on the foregoing method embodiments, and will not be repeated here.

[0092] The technical solutions of the present invention will be described in detail below with reference to specific application examples. For technical details not described in the implementation process, please refer to the relevant descriptions above.

[0093] This invention, based on a PLC control system, achieves automatic output control of the gas regulating valve. It is both an intelligent control method and device for tundish baking and a PLC-based intelligent control method and device for tundish baking. It achieves continuous temperature measurement and real-time communication transmission with the baking PLC. According to production requirements and safety needs, a manual / automatic baking mode switching control function is designed to ensure pre-planned operation of multiple control modes. Distributed deviation control technology and intelligent fuzzy control technology are used to achieve real-time control of the continuous casting tundish temperature. The fuzzy algorithm is integrated into the PLC system software, and combined with temperature deviation analysis collected by the PLC equipment control system, the gas flow rate is adjusted in real time to achieve temperature control. For the inflection point problem in the heating process (the boundary of each furnace temperature setpoint stage), an optimized gas valve regulating valve output value is directly given at this inflection point to compensate for the deviation in the fuzzy control algorithm process, ensuring the smoothness of the temperature curve throughout the baking process.

[0094] Figure 3This is a schematic diagram of the control principle of an intelligent control method for intermediate batch baking, and also a schematic diagram of the system's distributed fuzzy control structure. Here, r is the current oven temperature setpoint, y is the measured temperature of the controlled object, i.e., the current actual temperature of the intermediate batch, and a two-dimensional fuzzy controller is used (the two-dimensional fuzzy controller considers both the deviation and the change in deviation). The inputs are the temperature error (i.e., the current oven temperature deviation) e = ry and the change in error (i.e., the rate of change of the current oven temperature deviation) ec. E is the quantized oven temperature deviation obtained after correcting the temperature error e by the first proportional scaling factor k1, and ED is the quantized oven temperature deviation change value obtained after correcting the change in error ec by the second proportional scaling factor k2. The output uc is the opening degree of the gas regulating valve, which is obtained by multiplying the oven temperature control parameter UC by the third proportional scaling factor k3. The baking process of a billet tundish according to an embodiment of the present invention is as follows: After the tundish car is in place, the baking process of the tundish can begin; nitrogen purging, the baking arm lowered into position, the blower turned on, and the gas shut-off valve opened and ignited; then the baking process is a four-stage temperature adjustment process: the first stage is the initial baking stage, where the gas regulating valve output is controlled to ensure that the actual output fire is "small fire" for baking, and the temperature is controlled from room temperature to about 700℃; the second stage is the "medium fire" temperature control stage, where the opening of the gas regulating valve is gradually increased based on the "small fire" to complete the increase of "fire" control, and the temperature is controlled from 700℃ to 1000℃ for operation; the third stage is the baking "high fire" stage, where the gas regulating valve output is further increased to ensure that the baking temperature rises to 1200℃; the fourth stage is the heat preservation stage, where the gas regulating valve output is flexibly adjusted after the temperature rises to 1250℃ in the third stage, and the tundish temperature is kept constant at about 1250℃. In another production process of this invention embodiment, the fuzzy set corresponding to the furnace temperature setpoint is six (i.e., six furnace temperature setpoint stages): the first furnace temperature setpoint stage (0-100℃) is EC1, the second furnace temperature setpoint stage (100-580℃) is EC2, the third furnace temperature setpoint stage (580-1000℃) is EC3, the fourth furnace temperature setpoint stage (1000-1100℃) is EC4, the fifth furnace temperature setpoint stage (1100-1200℃) is EC5, and the sixth furnace temperature setpoint stage (constant) is EC6. The temperature of 1200℃ is EC6; at the same time, in order to ensure control accuracy, the fuzzy set of E is defined as E with a subset of 10℃, that is, En (the nth fuzzy subset, where n = E / 10, and n is the quantized furnace temperature deviation segment number of the quantized furnace temperature deviation segment at the current moment); the composite control is specifically implemented as UC = ED * UCn - m, that is, multiplying the furnace temperature deviation change rate at the current moment by the initial furnace temperature control parameter at the current moment to obtain the furnace temperature control parameter at the current moment.The fuzzy rules of the system (i.e., the furnace temperature control coefficient table) are shown in Table 1. In Table 1, the furnace temperature control coefficient is 0 for stage EC1, 0.02 for stage EC2, 0.01 for stage EC3, 0.02 for stage EC4, 0.03 for stage EC5, and 0.01 for stage EC6. The value of the initial furnace temperature control parameter UCn-m at the current moment is obtained by looking up the table. For example, if the furnace temperature setpoint at the current moment is 1050 degrees Celsius (within stage EC4), and the quantized furnace temperature deviation at the current moment is 12 degrees Celsius (where n=1, meaning the quantized furnace temperature deviation segment number of the segment to which the quantized furnace temperature deviation is located is 1), then looking up the table, the furnace temperature control coefficient for stage EC4 is 0.02, and the value of UCn-m is equal to 0.02n = 0.02 * 1 = 0.02.

[0095] UCn-m <![CDATA[E -k ]]> ...... <![CDATA[E -3 ]]> <![CDATA[E -2 ]]> <![CDATA[E -1 ]]> <![CDATA[E0]]> <![CDATA[E1]]> <![CDATA[E2]]> <![CDATA[E3]]> ...... <![CDATA[E n ]]> EC1 0 ...... 0 0 0 0 0 0 0 ...... 0 EC2 -0.02k ...... -0.06 -0.04 -0.02 0 0.02 0.04 0.06 ...... 0.02n EC3 -0.01k ...... -0.03 -0.02 -0.01 0 0.01 0.02 0.03 ...... 0.01n EC4 -0.02k ...... -0.06 -0.04 -0.02 0 0.02 0.04 0.06 ...... 0.02n EC5 -0.03k ...... -0.09 -0.06 -0.03 0 0.03 0.06 0.09 ...... 0.03n EC6 -0.01k ...... -0.03 -0.02 -0.01 0 0.01 0.02 0.03 ...... 0.01n

[0096] Table 1 Furnace Temperature Control Coefficients

[0097] The rate of change of furnace temperature deviation ec at the current moment is calculated according to the following steps: subtract the furnace temperature deviation at the previous moment from the furnace temperature deviation at the current moment to obtain the furnace temperature deviation change value at the current moment; multiply the furnace temperature deviation change value at the current moment by the second scaling factor to obtain the quantized furnace temperature deviation change value at the current moment; divide the quantized furnace temperature deviation change value at the current moment by the time difference between the current moment and the previous moment to obtain the rate of change of furnace temperature deviation at the current moment.

[0098] To ensure system control accuracy, corresponding system parameters are matched when the temperature error falls within different oven temperature setpoint stages. That is, the system output is jointly determined by the temperature error and the matching parameters for each oven temperature setpoint stage: the larger the temperature error within the same setpoint stage, the greater the output change; the corresponding matching parameters (oven temperature control coefficients) for temperature errors in different setpoint stages are determined by the temperature characteristics of that stage. For example, in the first setpoint stage, the temperature changes drastically, representing the stage with the greatest temperature lag in the entire baking process. To ensure control accuracy, the matching parameters must not be too large to avoid over-adjustment, while simultaneously ensuring the fit of the control curve, so the matching parameters cannot be too small. Furthermore, open-loop experiments are conducted using empirical parameters to obtain preliminary output values ​​for each stage. This is because in actual baking systems, the final control valve output value is generally slightly smaller than the limit value, and the smaller the absolute value of the error, the smaller the preheating output value. This ensures that the baking system error does not experience significant pullback after crossing zero and also prevents large changes in the system's output amplitude range within a short period, demonstrating its effectiveness in actual baking control. The temperature control algorithm described above mainly focuses on the control design method during the heating phase. However, in actual baking, the control method during the final heat preservation stage has some unique aspects. When transitioning from heating to heat preservation (constant temperature 1250℃), due to the system's large hysteresis and inertia, if only the control method used in the heating phase is applied, although the baking system has transitioned to a constant temperature state, the heating control effect from the previous stage (1100-1250℃) has not completely ceased. This will cause the temperature to continue to rise, resulting in the actual temperature exceeding the predetermined curve before slowly decreasing, leading to poor temperature control in the final stage. Therefore, temperature variations should be minimized beforehand. When entering the constant temperature stage, a fixed output should be directly provided, with the optimal output value determined through experimental analysis, thus ensuring the smoothness of the heat preservation stage. Meanwhile, the set temperature for the constant temperature stage can be set from 1250℃ to 1200℃. By lowering the set value in advance, the final temperature change curve can be fitted, ensuring that the optimized adjustment output value is directly entered in the initial part of the next stage, thus ensuring the accuracy of the entire temperature control. Figure 4 This is a graph showing the temperature curves between manually controlled conditions and the set preparation temperature during the baking of medium-sized bread. The solid line represents the actual temperature curve, and the dashed line represents the preset oven temperature control curve. Figure 4 It is evident that the required temperature curve (furnace temperature control curve) deviates significantly from the actual temperature curve, especially the temperature difference during the early and middle stages of baking, which is a large and positive deviation. The rapid temperature increase of the lining in the intermediate ladle, leading to bursting, does not meet the baking requirements of the refractory material, easily causing material collapse and uninterrupted production. Simultaneously, it damages the refractory material of the intermediate ladle, reducing its service life. Figure 5The image shows a comparison between the modified intelligent baking curve and the actual curve. The solid line represents the actual temperature curve, and the dashed line represents the preset oven temperature control curve. The overall curve fitting is significantly improved compared to manual adjustment. A slightly larger temperature deviation exists in the initial stage, mainly due to the gas output regulation of the baker being affected by the interlocking of its induced draft fan (when the gas output is too low, the fan's airflow causes flame dispersion, failing to achieve the desired baking effect). However, even at the minimum gas output opening allowed by the interlocking conditions, the output flame is still slightly high, causing the initial temperature to rise slightly faster. Excluding the influence of the induced draft fan interlocking limitation, the overall temperature control effect is satisfactory, meeting the requirements of the temperature control system and achieving the baking curve requirements for production. This intelligent baking control system employs various intelligent processing methods, greatly improving control accuracy and making it widely applicable to large industrial equipment with large delays and pure time lags.

[0099] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0100] In the above detailed description, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features of the single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, wherein each claim stands alone as a preferred embodiment of the invention.

[0101] The disclosed embodiments have been described above to enable any person skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be applied to other embodiments without departing from the spirit and scope of this disclosure. Therefore, this disclosure is not limited to the embodiments given herein, but is consistent with the broadest scope of the principles and novel features disclosed in this application.

[0102] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations falling within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is covered in a manner similar to the term "including". Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or".

[0103] Those skilled in the art will also understand that the various illustrative logical blocks, units, and steps listed in the embodiments of the present invention can be implemented by electronic hardware, computer software, or a combination of both. To clearly demonstrate the interchangeability of hardware and software, the functions of the various illustrative components, units, and steps described above have been generally described. Whether such functionality is implemented through hardware or software depends on the specific application and the overall system design requirements. Those skilled in the art can implement the described functions using various methods for each specific application, but such implementation should not be construed as exceeding the scope of protection of the embodiments of the present invention.

[0104] The various illustrative logic blocks or units described in the embodiments of this invention can be implemented or operate the described functions using a general-purpose processor, digital signal processor, application-specific integrated circuit (ASIC), field-programmable gate array or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. The general-purpose processor can be a microprocessor; alternatively, it can be any conventional processor, controller, microcontroller, or state machine. The processor can also be implemented using a combination of computing devices, such as a digital signal processor and a microprocessor, multiple microprocessors, one or more microprocessors combined with a digital signal processor core, or any other similar configuration.

[0105] The steps of the methods or algorithms described in the embodiments of this invention can be directly embedded in hardware, a software module executed by a processor, or a combination of both. The software module can be stored in RAM, flash memory, ROM, EPROM, EEPROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium in the art. Exemplarily, the storage medium can be connected to the processor so that the processor can read information from and write information to the storage medium. Optionally, the storage medium can also be integrated into the processor. The processor and storage medium can be housed in an ASIC, which can be housed in a user terminal. Optionally, the processor and storage medium can also be housed in different components of the user terminal.

[0106] In one or more exemplary designs, the functions described in the embodiments of the present invention can be implemented in hardware, software, firmware, or any combination of these three. If implemented in software, these functions can be stored on a computer-readable medium or transmitted on a computer-readable medium in the form of one or more instructions or code. Computer-readable media include computer storage media and communication media that facilitate the transfer of computer programs from one place to another. Storage media can be any available media that can be accessed by a general-purpose or special-purpose computer. For example, such computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store program code in the form of instructions or data structures and other forms that can be read by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Furthermore, any connection can be suitably defined as a computer-readable medium, for example, if the software is transmitted from a website, server or other remote resource via a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wirelessly, such as infrared, wireless and microwave, it is also included in the defined computer-readable medium. The disks and discs mentioned include compressed disks, laser discs, optical discs, DVDs, floppy disks, and Blu-ray discs. Disks typically copy data magnetically, while disks typically copy data optically using lasers. Combinations of the above can also be contained in computer-readable media.

[0107] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for intelligent control of intermediate bread baking, characterized in that, include: The actual temperature of the sample intermediate package at the current moment; Obtain the furnace temperature setpoint corresponding to the current moment from the preset furnace temperature control curve; The furnace temperature deviation at the current moment is determined based on the actual temperature at the current moment and the furnace temperature setpoint at the current moment; Based on the combination of fuzzy processing of the furnace temperature deviation at the current moment and distributed processing of the furnace temperature setpoint at the current moment, the coordinates of the initial control parameters of the furnace temperature at the current moment are determined. The preset furnace temperature control coefficient table is queried according to the coordinates of the initial control parameters of the furnace temperature at the current moment to obtain the furnace temperature control coefficient at the current moment. Based on the obtained furnace temperature control coefficient at the current moment, the initial control parameters of the furnace temperature at the current moment are determined. It includes: Based on the current furnace temperature setting value, determine the furnace temperature setting value stage in which the current furnace temperature setting value is located from at least one preset furnace temperature setting value stage; Multiply the furnace temperature deviation at the current moment by the first scaling factor to obtain the quantized furnace temperature deviation at the current moment; The current quantized furnace temperature deviation is divided into segments of 10 degrees Celsius each, and the quantized furnace temperature deviation segment number of the current quantized furnace temperature deviation segment is determined. The furnace temperature setpoint at the current moment and the quantized furnace temperature deviation segment number at the current moment are used as the initial control parameter coordinates of the furnace temperature at the current moment. The preset furnace temperature control coefficient table is queried according to the initial control parameter coordinates of the furnace temperature at the current moment to determine the furnace temperature control coefficient at the current moment. Multiply the furnace temperature control coefficient at the current moment by the quantized furnace temperature deviation segment number of the quantized furnace temperature deviation segment at the current moment to obtain the initial furnace temperature control parameters at the current moment. Specifically, the range of furnace temperature setpoints is pre-divided into at least one continuous furnace temperature setpoint stage; in the pre-set furnace temperature control coefficient table, a corresponding furnace temperature control coefficient is pre-set for the quantized furnace temperature deviation segment number corresponding to each quantized furnace temperature deviation segment of each furnace temperature setpoint stage. The at least one furnace temperature setting stage specifically includes: a first furnace temperature setting stage of 0-100℃, a second furnace temperature setting stage of 100-580℃, a third furnace temperature setting stage of 580-1000℃, a fourth furnace temperature setting stage of 1000-1100℃, a fifth furnace temperature setting stage of 1100-1200℃, and a sixth furnace temperature setting stage of constant temperature at 1200℃; The furnace temperature control coefficients corresponding to each furnace temperature setpoint stage are as follows: the furnace temperature control coefficient for the first furnace temperature setpoint stage is 0, the furnace temperature control coefficient for the second furnace temperature setpoint stage is 0.02, the furnace temperature control coefficient for the third furnace temperature setpoint stage is 0.01, the furnace temperature control coefficient for the fourth furnace temperature setpoint stage is 0.02, the furnace temperature control coefficient for the fifth furnace temperature setpoint stage is 0.03, and the furnace temperature control coefficient for the sixth furnace temperature setpoint stage is 0.

01. The rate of change of the furnace temperature deviation at the current moment is determined based on the furnace temperature deviation at the previous moment and the furnace temperature deviation at the current moment. Multiply the rate of change of the furnace temperature deviation at the current moment by the initial control parameter of the furnace temperature at the current moment to obtain the furnace temperature control parameter at the current moment. The intermediate ladle heating device is adjusted by using the furnace temperature control parameters at the current moment to make the temperature of the intermediate ladle track the preset furnace temperature control curve. The furnace temperature deviation at the previous moment is determined based on the actual temperature at the previous moment and the furnace temperature set value corresponding to the previous moment on the preset furnace temperature control curve; the preset furnace temperature control curve includes a furnace temperature rising segment and a furnace temperature holding segment following the furnace temperature rising segment.

2. The intelligent control method for baking intermediate bread as described in claim 1, characterized in that, The furnace temperature holding section is preset with a corresponding target temperature range, and the method further includes: Once the temperature of the tundish reaches the target holding temperature range corresponding to the furnace temperature holding section, the adjustment of the furnace temperature control parameters on the tundish heating device is stopped, and the preset furnace temperature holding control parameters are applied to the tundish heating device to keep the temperature of the tundish within the target holding temperature range.

3. The intelligent control method for baking intermediate bread as described in claim 1, characterized in that, Based on the current furnace temperature deviation and the previous furnace temperature deviation, the rate of change of the current furnace temperature deviation is determined, including: The change in furnace temperature deviation at the current moment is obtained by subtracting the furnace temperature deviation at the previous moment from the furnace temperature deviation at the current moment. Multiply the current furnace temperature variation value by the second scaling factor to obtain the current quantized furnace temperature deviation value. Divide the quantized furnace temperature deviation change value at the current moment by the time difference between the current moment and the previous moment to obtain the furnace temperature deviation change rate at the current moment.

4. The intelligent control method for intermediate bread baking as described in claim 1, characterized in that, When the current furnace temperature setpoint of the intermediate ladle is equal to the furnace temperature setpoint at the boundary between two adjacent furnace temperature setpoint stages, the intermediate ladle heating device is controlled using the preset furnace temperature control parameter corresponding to the furnace temperature setpoint at the boundary.

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