Hot rolling curling temperature control method and system
By combining the characteristics of rolling, strip and cooling system, adjusting the cooling system and rolling mill control values, the problem of inaccurate curling temperature in traditional methods is solved, high-precision curling temperature control is achieved, and strip quality and production efficiency are improved.
Patent Information
- Application Number
- CN202510693115.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-27
- Publication Date
- 2025-08-12
AI Technical Summary
The traditional hot rolling curling temperature control method relies on empirical formulas or offline mechanism models, resulting in inaccurate curling temperature, affecting the phase change behavior, grain size, tissue uniformity and surface quality of the strip. The rolling mill rolling speed is limited by the coil tension, which can easily lead to strip deformation or surface quality defects.
The curling temperature is determined based on the rolling characteristics, the strip physical characteristics and the cooling system characteristics, and the control values of the cooling system and the rolling mill are adjusted through the curling temperature control strategy, and the curling temperature control value of the rolling mill is considered to correct the curling temperature control value of the rolling mill to achieve multivariable coordinated control.
The accuracy of curling temperature control is improved, the contradiction between rolling mill control and coiler tension is solved, the strip quality is ensured and accurate curling temperature control is achieved.
Smart Images
Figure CN120460489A_ABST
Abstract
Description
Technical Field
[0001] The present application belongs to the technical field of coiling temperature control, and more specifically, relates to a hot rolling coiling temperature control method and system. Background Art
[0002] Coiling temperature is one of the most core control parameters in this process. It not only determines the phase change behavior of the strip during cooling, but also has a decisive effect on grain size, structural uniformity and surface quality.
[0003] Traditional hot rolling coil temperature control methods mainly rely on empirical formulas or offline mechanism models. The input control strategy is usually to adjust the rolling speed to adjust the cooling time in the cooling layer, and then adjust the coiling temperature. However, the rolling speed of the rolling mill is limited by the tension of the rear coiler. Excessive tension can cause strip deformation or surface quality defects, while too little tension can lead to loose coils or interlayer sliding, resulting in inaccurate coiling temperature.
[0004] Therefore, an accurate and reliable method for controlling the temperature of hot rolled coils is needed. Summary of the Invention
[0005] The purpose of this application is to provide a hot rolling coiling temperature control method and system to improve the accuracy of hot rolling coiling temperature control.
[0006] A first aspect of the embodiments of the present application provides a method for controlling the temperature of a hot rolled coil, comprising: determining a coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of the cooling system; In response to the curling temperature not meeting the preset temperature range, determining a curling temperature control strategy based on the curling temperature and the preset temperature range; the curling temperature control strategy including: a plurality of curling temperature control objects and their corresponding curling temperature control values; In response to the rolling mill not being included in the coiling temperature control object, controlling the corresponding coiling temperature control object based on the coiling temperature control value; In response to the fact that the curling temperature control object includes a rolling mill, the curling temperature control value corresponding to the rolling mill is corrected based on the tension of the coiler to obtain the curling temperature control value of the rolling mill; the rolling mill is controlled based on the curling temperature control value of the rolling mill; the curling temperature control values corresponding to the curling temperature control objects other than the rolling mill are corrected based on the corrected value of the curling temperature control value corresponding to the rolling mill; and the corresponding curling temperature control objects other than the rolling mill are controlled based on the corrected curling temperature control value.
[0007] A second aspect of the embodiments of the present application provides a hot rolling coiling temperature control system, comprising: a prediction module for determining a coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of a cooling system; a strategy output module for determining a curling temperature control strategy based on the curling temperature and the preset temperature range in response to the curling temperature not meeting the preset temperature range; the curling temperature control strategy including: a plurality of curling temperature control objects and their corresponding curling temperature control values; a first control module configured to control the corresponding coiling temperature control object based on the coiling temperature control value in response to the coiling temperature control object not including the rolling mill; The second control module is used to, in response to the curling temperature control object including a rolling mill, correct the curling temperature control value corresponding to the rolling mill based on the tension of the coiler to obtain the curling temperature control value of the rolling mill; control the rolling mill based on the curling temperature control value of the rolling mill; correct the curling temperature control value corresponding to the curling temperature control object other than the rolling mill based on the correction value of the curling temperature control value corresponding to the rolling mill; and control the corresponding curling temperature control object other than the rolling mill based on the corrected curling temperature control value.
[0008] A third aspect of an embodiment of the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of the above-mentioned hot rolling coil temperature control method are implemented.
[0009] In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the steps of the above-mentioned hot rolling coil temperature control method are implemented.
[0010] The beneficial effects of the hot rolling coiling temperature control method and system provided in the embodiments of the present application are: When the coiling temperature control object includes a rolling mill, the present application corrects the coiling temperature control value corresponding to the rolling mill based on the tension of the coiler to obtain the coiling temperature control value of the rolling mill, controls the rolling mill accordingly, and determines the control values of other coiling temperature control objects based on the correction value, thereby resolving the contradiction between the rolling mill control and the coiler tension. While ensuring the quality of the strip, effective control of the rolling mill is achieved, thereby ensuring accurate control of the coiling temperature. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.
[0012] Figure 1 A schematic flow chart of a hot rolling coil temperature control method provided in one embodiment of the present application; Figure 2 This is a structural block diagram of a hot rolling coiling temperature control system provided in one embodiment of the present application; Figure 3 A schematic block diagram of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION
[0013] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.
[0014] In order to make the purpose, technical solutions and advantages of this application clearer, specific embodiments will be described below with reference to the accompanying drawings.
[0015] Please refer to Figure 1 , Figure 1 A flow chart of a hot rolling coil temperature control method provided in one embodiment of the present application, the method being executed by an electronic device, includes: S101-S104.
[0016] S101: Determine the coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of a cooling system.
[0017] In this embodiment, the steel strip produced by the hot rolling process must first be cooled before it can be coiled. Excessively high or low temperatures can affect the quality of the steel strip during coiling. The cooling process is typically performed by laminar cooling or spraying cooling water. After cooling, the steel strip can be coiled by a coiler. Therefore, this application determines and predicts the coiling temperature of the steel strip to be coiled, i.e., the temperature of the steel strip during coiling, based on rolling characteristics, the physical characteristics of the steel strip to be coiled, and the cooling characteristics of the cooling system.
[0018] In this embodiment, the rolling characteristics may be the rolling speed of the rolling mill, the physical characteristics of the coiled steel strip may be the temperature and thickness of the coiled steel strip, and the cooling characteristics of the cooling system may be the temperature and flow rate of the cooling water. In this embodiment, the final coiling temperature of the coiled steel strip may be predicted based on a physical empirical model or a prediction model.
[0019] S102: In response to the curling temperature not meeting the preset temperature range, determining a curling temperature control strategy based on the curling temperature and the preset temperature range; the curling temperature control strategy includes: a plurality of curling temperature control objects and their corresponding curling temperature control values.
[0020] In this embodiment, if the curling temperature is not within the preset temperature range, it means that the current cooling process or rolling process needs to be adjusted to meet the conditions for suitable curling temperature. The preset temperature range can be set based on the commonly used temperatures in this field or adjusted based on the actual application scenario.
[0021] In this embodiment, a coiling temperature control strategy can be determined based on the degree and direction of deviation between the coiling temperature and a preset temperature range. The coiling temperature control target can be either the cooling system or the rolling mill. The cooling system can adjust the cooling water flow rate to control the cooling rate, thereby controlling the coiling temperature. The rolling mill can adjust the rolling speed to adjust the cooling time of the strip in the cooling system (i.e., the cooling layer), thereby adjusting the coiling temperature. The coiling temperature control value is the adjustment value corresponding to the corresponding coiling temperature control target. For example, for the cooling system, the corresponding coiling temperature control value can be the adjustment value of the cooling water flow rate. For the rolling mill, the corresponding coiling temperature control value can be the adjustment value of the rolling speed, which is essentially the rotational speed of the rollers.
[0022] The coiling temperature control target and coiling temperature control value can be determined based on the aforementioned deviation degree and deviation direction. For example, if the deviation degree is relatively small, only one adjustment method can be selected for adjustment to avoid the situation where multiple adjustments simultaneously cause the coiling temperature to change too quickly, leading to reverse deviation and further adjustment. For another example, if the deviation direction is that the coiling temperature exceeds the upper limit of the preset temperature range, the corresponding coiling temperature control value will reduce the coiling temperature, and theoretically, reduce it to at least the upper limit of the preset temperature range. However, to ensure the temperature reduction purpose, it is generally set to the middle value of the preset temperature range.
[0023] S103: In response to the rolling mill not being included in the coiling temperature control object, controlling the corresponding coiling temperature control object based on the coiling temperature control value.
[0024] In this embodiment, when the coiling temperature control target does not include the rolling mill, the corresponding coiling temperature control target can be controlled directly based on the previously determined coiling temperature control value. The cooling system is relatively independent of other systems in this process, and adjustments to the cooling water temperature or flow rate do not cause adjustments to other parameters in the entire coiling system. Therefore, direct control is possible.
[0025] S104: In response to the fact that the coiling temperature control object includes a rolling mill, the coiling temperature control value corresponding to the rolling mill is corrected based on the tension of the coiler to obtain the coiling temperature control value of the rolling mill; the rolling mill is controlled based on the coiling temperature control value of the rolling mill; the coiling temperature control values corresponding to the coiling temperature control objects other than the rolling mill are corrected based on the corrected value of the coiling temperature control value corresponding to the rolling mill; and the corresponding coiling temperature control objects other than the rolling mill are controlled based on the corrected coiling temperature control value.
[0026] In this embodiment, if the coiling temperature control object includes the rolling mill, the coiling temperature control value corresponding to the rolling mill should be corrected based on the tension of the coiler. The coiling temperature control value corresponding to the rolling mill is the rolling speed, but the function of the coiler is to ensure that the strip is tightly coiled. Too much tension of the coiler will cause strip defects, strip breakage or equipment overload, and too little tension will cause loose coiling, etc. Therefore, unlike the cooling system, the adjustment of the rolling speed of the rolling mill cannot rely solely on the coiling temperature to control the rolling speed of the rolling mill. The tension of the coiler should also be taken into account. For example, the initial calculation requires a speed reduction of 2m / s, but due to the tension constraint, the speed can only be reduced by 1.5m / s, so the correction value is 0.5m / s.
[0027] Secondly, considering that the corrected rolling mill temperature control value cannot meet the established target, it is also necessary to correct the temperature control values of other coiling temperature control objects and control the corresponding coiling temperature control objects based on the final corrected coiling temperature control value.
[0028] From the above, it can be concluded that when the coiling temperature control object includes a rolling mill, the present application corrects the coiling temperature control value corresponding to the rolling mill based on the tension of the coiler to obtain the coiling temperature control value of the rolling mill, and controls the rolling mill accordingly, and determines the control values of other coiling temperature control objects based on the correction value, thereby solving the contradiction between the rolling mill control and the coiler tension, and realizing effective control of the rolling mill while ensuring the quality of the strip, thereby ensuring accurate control of the coiling temperature.
[0029] In one embodiment of the present application, determining the coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of a cooling system includes: constructing at least two of the rolling characteristics, the physical characteristics of the steel strip to be coiled, and the cooling characteristics of the cooling system based on the target construction mode to obtain a plurality of target construction characteristics; The rolling characteristics, the physical characteristics of the steel strip to be coiled, the cooling characteristics of the cooling system and several target structural characteristics are input into the target prediction model to obtain the coiling temperature of the steel strip to be coiled.
[0030] In this embodiment, considering that the data predicted based on only the above-mentioned features may be biased, the embodiment of the present application considers improving the accuracy of the prediction by constructing a part of the features to make the input more representative. The target construction method is a determined construction method, and its essence can be understood as mathematically transforming or combining the original features, mining hidden physical relationships, and generating new features with more predictive power. For example, it can be a ratio relationship, a product relationship, or an exponential transformation. The target construction feature is a new feature determined based on the target construction method.
[0031] In this embodiment, the target prediction model can be a random forest model. It should be noted that the target prediction model must be a trained prediction model, and its training dataset must include at least historical rolling characteristics, historical physical characteristics of the coiled strip, historical cooling characteristics of the cooling system, historical target configuration data constructed from these three historical characteristics based on the target configuration method, and the corresponding coiling temperature. The specific annotations and model training process are not detailed in this embodiment.
[0032] In this embodiment, the target construction mode can be determined based on the following methods: The process of determining the target construction method includes: For each set of historical features in the historical data set of the steel strip to be coiled, the correlation between each historical feature in the set of historical features is calculated; Determine the comprehensive correlation between the historical features based on the correlation between the historical features in each group of historical features, and take the feature pair with the comprehensive correlation higher than the first correlation as the target feature pair; For each set of historical features in the data set of the historical strip to be curled, a target feature pair in the set of historical features is constructed based on a plurality of preset construction methods to obtain a construction feature corresponding to the set of historical features; the construction feature and the construction method have a one-to-one correspondence; Inputting the structural features corresponding to each group of historical features in the data set of the historical strip to be coiled into the first random forest model, obtaining the importance of each structural feature; The construction mode corresponding to the construction feature with a higher importance than the first importance among the construction features is taken as the target construction mode.
[0033] In this embodiment, each set of data in the historical data set of the strip to be curled includes: historical rolling characteristics, historical physical characteristics of the strip to be curled, and historical cooling characteristics of the cooling system; it can also be understood as the historical rolling speed, historical temperature and thickness of the strip to be curled, and the historical cooling water temperature and flow corresponding to the cooling system. In addition, it should also include the curling temperature corresponding to this set of data.
[0034] In this embodiment, considering the correlation between each data, the data with strong correlation is constructed, and the obtained constructed data is more valuable for reference to the prediction model. Therefore, the embodiment of the present application first determines the correlation between each historical feature in each group, and then determines a comprehensive correlation based on the correlation between the historical features obtained in each group. In this embodiment, it can be an average value. For example, in the historical data group A, the correlation between a1 and a2 is 0.8, and in the group B data, the correlation between a1 and a2 is 0.6, then the comprehensive correlation between a1 and a2 is 0.7. It should be noted that each group of data contains the same historical features, the difference is the different numerical values. Finally, the feature pair with a comprehensive correlation higher than the first correlation is used as the target feature pair, and each target feature pair contains two features.
[0035] In this embodiment, after obtaining the target feature pairs, the target feature pairs in the dataset are constructed based on a preset construction method to obtain the construction features corresponding to each construction method. However, considering that not every constructed data may have a significant impact on the determination of the curling temperature, this embodiment of the present application inputs this data into a first random forest model. It should be noted that this data is also input along with the curling temperature corresponding to the set of construction data. The first random forest model can output the degree of influence of each construction data on the curling temperature, that is, the importance level. Finally, the construction method corresponding to the construction feature with a higher importance level than the first importance level among the construction features is selected as the target construction method.
[0036] From the above, it can be concluded that the traditional method simply predicts the curling temperature based on the rolling characteristics, the physical characteristics of the strip to be curled, and the cooling characteristics of the cooling system, and the data may be biased. This embodiment constructs at least two of the above characteristics through a target construction method to obtain a number of target construction features, and inputs the original features together with the construction features into the target prediction model to predict the curling temperature. The aforementioned method of constructing features mines the hidden physical relationship between the original features, generates new features, and makes the input data more representative, thereby effectively improving the accuracy of the curling temperature prediction. The present application selects feature pairs with strong correlation for construction, because the construction data obtained after the combination of data with strong correlation is more valuable for reference to the prediction model, avoids blind construction features, and improves the quality and effectiveness of subsequent construction features. The present application uses a method of evaluating and screening target construction methods through a model, which can accurately judge the degree of influence of different construction methods on the curling temperature prediction, and only retains construction methods that have an important impact on the prediction, further optimizes the target construction method, and ensures that the constructed features can effectively improve the performance of the prediction model.
[0037] In one embodiment of the present application, in response to the curling temperature not meeting the preset temperature range, determining a curling temperature control strategy based on the curling temperature and the preset temperature range includes: In response to a degree of deviation between the curling temperature and the preset temperature range being greater than or equal to a first degree of deviation and less than a second degree of deviation, determining the curling temperature control target as the cooling system, and determining a curling temperature control value corresponding to the cooling system based on a difference between the curling temperature and a boundary value of the preset temperature range; In response to a degree of deviation between the coiling temperature and the preset temperature range being greater than a second degree of deviation and less than a third degree of deviation, determining the coiling temperature control object as a rolling mill, and determining a coiling temperature control value corresponding to the rolling mill based on a difference between the coiling temperature and a boundary value of the preset temperature range; In response to the degree of deviation of the curling temperature from the preset temperature range being greater than the third deviation degree, the curling temperature control objects are determined as the rolling mill and the cooling system, and the curling temperature control value corresponding to the rolling mill and the curling temperature control value corresponding to the cooling system are determined based on the difference between the curling temperature and the boundary value of the preset temperature range.
[0038] In this embodiment, the degree of deviation between the curling temperature and the preset temperature range is divided. The degree of deviation between the curling temperature and the preset temperature range can be determined based on a first formula. The first formula is: ,in, Indicates the degree of deviation, Indicates the midpoint of the preset temperature range. Indicates the length of the preset temperature range, The first deviation degree, the second deviation degree, and the third deviation degree can be set based on actual application scenarios or based on experience.
[0039] In this embodiment, small deviations can be quickly addressed by the cooling system, preventing mill adjustments from impacting production. However, medium deviations require greater control capability. Adjusting the cooling water flow rate cannot meet the required coiling temperature. Therefore, the mill can be slowed down to extend the cooling time, thus exceeding the cooling system's upper limit. Large deviations require multivariable coordinated control, leveraging the combined control capabilities of the mill and cooling system.
[0040] Secondly, the curling temperature control value is determined based on the difference between the curling temperature and the boundary value of the preset temperature range. It should be noted that there are two boundary values in the preset temperature range. In this application, the difference between the two boundary values and the curling temperature can be calculated separately and the average can be taken. Its essence is the difference between the curling temperature and the midpoint of the preset temperature range, or it can be the difference between the curling temperature and the boundary value in the preset temperature range that is closer to the curling temperature. This is not limited in the embodiments of this application, but different calculation methods should correspond to different calculation formulas to determine the curling temperature control value.
[0041] In this embodiment, the coiling temperature control value can be determined based on a preset correspondence between control values and temperatures. This correspondence can be determined based on physical a priori knowledge or historical control feedback. For example, based on historical experience, it is determined that each time the cooling water flow rate increases by C, the coiling temperature correspondingly decreases by D, and each time the rolling mill's rolling speed decreases by E, the coiling temperature decreases by F. In this embodiment, the desired temperature (both positive and negative) can be determined based on the difference between the coiling temperature and the boundary value of a preset temperature range. Based on this preset correspondence between control values and temperatures, the coiling temperature control value for the rolling mill and the coiling temperature control value for the cooling system can be determined.
[0042] As can be seen from the above, this embodiment categorizes the degree of deviation of the curling temperature from the preset temperature range and determines different curling temperature control targets based on the different deviation ranges. This hierarchical control strategy enables the most appropriate control measures to be taken for different degrees of temperature deviation, avoiding blind adjustments to all control targets and improving control efficiency.
[0043] In one embodiment of the present application, the coiling temperature control value corresponding to the rolling mill is the rolling adjustment speed corresponding to the rolling mill; Correcting the coiling temperature control value corresponding to the rolling mill based on the tension of the coiler to obtain the coiling temperature control value of the rolling mill includes: Determine the rolling speed range of the rolling mill based on the tension of the coiler; In response to the rolling adjustment speed corresponding to the rolling mill exceeding the upper limit of the rolling speed interval, the rolling adjustment speed corresponding to the rolling mill is corrected to the upper limit of the rolling speed interval; In response to the rolling adjustment speed corresponding to the rolling mill being lower than the lower limit of the rolling speed interval, the rolling adjustment speed corresponding to the rolling mill is corrected to the lower limit of the rolling speed interval; In response to the rolling adjustment speed corresponding to the rolling mill being within the rolling speed range, no correction is performed.
[0044] In this embodiment, the rolling speed range is the allowable range of rolling speed determined by the coiler tension limit. The speed boundary can be inferred by the tension-speed model to ensure that the tension is maintained in a safe range. For example, the rolling speed range is , the safe range of tension is ,but , ,in, Indicates the minimum rolling speed, Indicates the maximum rolling speed, Indicates the current rolling speed, Indicates the minimum value of tension, Indicates the maximum value of tension, Indicates the tension-velocity coefficient (unit: ), The speed is determined by the strip material and thickness, and can be set based on experience. If the rolling adjustment speed corresponding to the rolling mill exceeds the upper limit (is lower than the lower limit), it should be corrected to the upper limit (lower limit).
[0045] On this basis, it is also considered that even if the temperature adjustment value is set to the middle value of the preset temperature range, if the correction value of the coiling temperature control value corresponding to the rolling mill is too large, that is, greater than the first correction value, then the original temperature requirement cannot be met, and the coiling temperature will still increase or decrease as the coiling proceeds. Therefore, when the correction value of the coiling temperature control value corresponding to the rolling mill is greater than the first correction value, the cooling system should be controlled regardless of whether the coiling control object includes a cooling system, and its corresponding coiling temperature control value should be determined based on the correction value of the coiling temperature control value corresponding to the rolling mill. Specifically, the coiling temperature control value of the cooling system is corrected based on the correction value of the coiling temperature control value corresponding to the rolling mill, including: determining a temperature to be compensated based on a correction value of a coiling temperature control value corresponding to the rolling mill; determining a correction value for a curling temperature control value of the cooling system based on the temperature to be compensated; The curling control value of the cooling system is corrected based on the correction value of the curling temperature control value of the cooling system.
[0046] In this embodiment, the temperature to be compensated can be determined based on the correspondence between the aforementioned preset control value and the temperature, and then the correction value of the curling temperature control value of the cooling system can be determined based on the temperature to be compensated. The above processes are all simple calculations based on the correspondence and will not be repeated in the embodiments of this application.
[0047] It should be noted that in this embodiment, “correction” means “setting”. Even if there is no cooling system in the original curling temperature control target, it will be forcibly set and controlled to control the curling temperature.
[0048] As can be seen from the above, this embodiment determines the rolling speed range of the rolling mill based on the coiler tension and makes corrections based on the relationship between the rolling mill's corresponding rolling adjustment speed and this range. Since the rolling speed range is the allowable range determined by the coiler tension limit, this correction method ensures that the tension of the rolling mill is always maintained within the safe range during operation. While considering the correction of the rolling mill's coiling temperature control value, it is further noted that if the correction value of the coiling temperature control value corresponding to the rolling mill is too large, it may not meet the original temperature requirement, thereby affecting the coiling temperature. In this case, regardless of whether the coiling control object includes a cooling system, the cooling system is controlled, and the correction value of the cooling system's coiling temperature control value is determined based on the correction value of the coiling temperature control value corresponding to the rolling mill. This multivariable coordinated control method can fully utilize the joint adjustment capabilities of the rolling mill and the cooling system, more accurately controlling the coiling temperature, bringing it closer to the preset temperature range, thereby improving product quality and reducing the defective rate caused by excessive temperature deviation.
[0049] A hot rolling coiling temperature control method corresponding to the above embodiment, Figure 2 This is a structural block diagram of a hot rolling coil temperature control system provided by an embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 2 The hot rolling coil temperature control system 20 includes: a prediction module 21, a strategy output module 22, a first control module 23 and a second control module 24.
[0050] The prediction module 21 is used to determine the coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of the cooling system; a strategy output module 22 for determining a curling temperature control strategy based on the curling temperature and the preset temperature range in response to the curling temperature not conforming to the preset temperature range; the curling temperature control strategy including: a plurality of curling temperature control objects and their corresponding curling temperature control values; a first control module 23 for controlling the corresponding coiling temperature control object based on the coiling temperature control value in response to the coiling temperature control object not including the rolling mill; The second control module 24 is used to, in response to the curling temperature control object including a rolling mill, correct the curling temperature control value corresponding to the rolling mill based on the tension of the coiler to obtain the curling temperature control value of the rolling mill; control the rolling mill based on the curling temperature control value of the rolling mill; correct the curling temperature control value corresponding to the curling temperature control object other than the rolling mill based on the corrected value of the curling temperature control value corresponding to the rolling mill; and control the corresponding curling temperature control object other than the rolling mill based on the corrected curling temperature control value.
[0051] In one embodiment of the present application, the prediction module 21 is specifically configured to construct at least two of the rolling characteristics, the physical characteristics of the steel strip to be coiled, and the cooling characteristics of the cooling system based on the target construction mode to obtain a plurality of target construction characteristics; The rolling characteristics, the physical characteristics of the steel strip to be coiled, the cooling characteristics of the cooling system and several target structural characteristics are input into the target prediction model to obtain the coiling temperature of the steel strip to be coiled.
[0052] In one embodiment of the present application, the hot rolling coiling temperature control system 20 further includes: a target configuration mode determination module for calculating, for each set of historical features in a data set of historical strips to be coiled, a correlation between the individual historical features in the set of historical features; Determine the comprehensive correlation between the historical features based on the correlation between the historical features in each group of historical features, and take the feature pair with the comprehensive correlation higher than the first correlation as the target feature pair; For each set of historical features in the data set of the historical strip to be curled, a target feature pair in the set of historical features is constructed based on a plurality of preset construction methods to obtain a construction feature corresponding to the set of historical features; the construction feature and the construction method have a one-to-one correspondence; Inputting the structural features corresponding to each group of historical features in the data set of the historical strip to be coiled into the first random forest model, obtaining the importance of each structural feature; The construction mode corresponding to the construction feature with a higher importance than the first importance among the construction features is taken as the target construction mode.
[0053] In one embodiment of the present application, the strategy output module 22 is specifically configured to, in response to a deviation between the curling temperature and the preset temperature range being greater than or equal to a first deviation and less than a second deviation, determine the curling temperature control target as the cooling system, and determine a curling temperature control value corresponding to the cooling system based on a difference between the curling temperature and a boundary value of the preset temperature range; In response to a degree of deviation between the coiling temperature and the preset temperature range being greater than a second degree of deviation and less than a third degree of deviation, determining the coiling temperature control object as a rolling mill, and determining a coiling temperature control value corresponding to the rolling mill based on a difference between the coiling temperature and a boundary value of the preset temperature range; In response to the degree of deviation of the curling temperature from the preset temperature range being greater than the third deviation degree, the curling temperature control objects are determined as the rolling mill and the cooling system, and the curling temperature control value corresponding to the rolling mill and the curling temperature control value corresponding to the cooling system are determined based on the difference between the curling temperature and the boundary value of the preset temperature range.
[0054] In one embodiment of the present application, the coiling temperature control value corresponding to the rolling mill is the rolling adjustment speed corresponding to the rolling mill; the second control module 24 is used to determine the rolling speed range of the rolling mill based on the tension of the coiler; In response to the rolling adjustment speed corresponding to the rolling mill exceeding the upper limit of the rolling speed interval, the rolling adjustment speed corresponding to the rolling mill is corrected to the upper limit of the rolling speed interval; In response to the rolling adjustment speed corresponding to the rolling mill being lower than the lower limit of the rolling speed interval, the rolling adjustment speed corresponding to the rolling mill is corrected to the lower limit of the rolling speed interval; In response to the rolling adjustment speed corresponding to the rolling mill being within the rolling speed range, no correction is performed.
[0055] In one embodiment of the present application, the coiling temperature control objects include: a rolling mill and a cooling system; The second control module 24 is further configured to correct the coiling temperature control value of the cooling system based on the correction value of the coiling temperature control value corresponding to the rolling mill in response to the correction value of the coiling temperature control value corresponding to the rolling mill being greater than the first correction value; In response to the correction value of the coil temperature control value corresponding to the rolling mill being less than or equal to the first correction value, no correction is performed.
[0056] In one embodiment of the present application, the second control module 24 is further configured to determine the temperature to be compensated based on the correction value of the coiling temperature control value corresponding to the rolling mill; determining a correction value for a curling temperature control value of the cooling system based on the temperature to be compensated; The curling control value of the cooling system is corrected based on the correction value of the curling temperature control value of the cooling system.
[0057] See also Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided in one embodiment of the present application. Figure 3 The electronic device 300 in the embodiment shown may include: one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules in the above-mentioned system embodiments, such as Figure 2 The functions of the prediction module 21 , the strategy output module 22 , the first control module 23 and the second control module 24 are shown.
[0058] It should be understood that in the embodiment of the present application, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.
[0059] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.
[0060] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store a preset temperature range.
[0061] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiment of the present application can execute the implementation method described in an embodiment of a hot rolling curling temperature control method provided in the embodiment of the present application, and can also execute the implementation method of the electronic device described in the embodiment of the present application, which will not be repeated here.
[0062] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium.
[0063] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as a hard disk or memory of the electronic device. The computer-readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs and other programs and data required by the electronic device. The computer-readable storage medium can also be used to temporarily store data that has been output or is about to be output.
[0064] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.
[0065] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.
[0066] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or can be an electrical, mechanical or other form of connection.
[0067] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.
[0068] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.
[0069] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or replacements within the technical scope disclosed in this application, and such modifications or replacements should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.
Claims
1. A hot rolling coil temperature control method, characterized in that: include: determining a coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of the cooling system; In response to the curling temperature not conforming to a preset temperature range, determining a curling temperature control strategy based on the curling temperature and the preset temperature range; The curling temperature control strategy includes: a plurality of curling temperature control objects and their corresponding curling temperature control values; In response to the rolling mill not being included in the coiling temperature control object, controlling the corresponding coiling temperature control object based on the coiling temperature control value; In response to the fact that the curling temperature control object includes a rolling mill, the curling temperature control value corresponding to the rolling mill is corrected based on the tension of the coiler to obtain the curling temperature control value of the rolling mill; the rolling mill is controlled based on the curling temperature control value of the rolling mill; the curling temperature control values corresponding to the curling temperature control objects other than the rolling mill are corrected based on the corrected value of the curling temperature control value corresponding to the rolling mill; and the corresponding curling temperature control objects other than the rolling mill are controlled based on the corrected curling temperature control value.
2. A hot rolling coil temperature control method according to claim 1, characterized in that: The step of determining the coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of the cooling system comprises: constructing at least two of the rolling characteristics, the physical characteristics of the steel strip to be coiled, and the cooling characteristics of the cooling system based on a target construction method to obtain a plurality of target construction characteristics; The rolling characteristics, the physical characteristics of the steel strip to be coiled, the cooling characteristics of the cooling system and the plurality of target structural characteristics are input into a target prediction model to obtain a coiling temperature of the steel strip to be coiled.
3. A hot rolling coil temperature control method according to claim 2, characterized in that: The process of determining the target construction method includes: For each set of historical features in the historical data set of the steel strip to be coiled, the correlation between each historical feature in the set of historical features is calculated; Determine the comprehensive correlation between the historical features based on the correlation between the historical features in each group of historical features, and use the feature pair with the comprehensive correlation higher than the first correlation as the target feature pair; For each set of historical features in a historical data set of steel strips to be curled, constructing a target feature pair in the set of historical features based on a plurality of preset construction methods to obtain construction features corresponding to the set of historical features; the construction features correspond to the construction methods in a one-to-one manner; Inputting the structural features corresponding to each group of historical features in the data set of the historical strip to be coiled into the first random forest model, obtaining the importance of each structural feature; The construction mode corresponding to the construction feature with a higher importance than the first importance among the construction features is taken as the target construction mode.
4. A hot rolling coil temperature control method according to claim 1, characterized in that: In response to the curling temperature not meeting a preset temperature range, determining a curling temperature control strategy based on the curling temperature and the preset temperature range includes: In response to a degree of deviation between the curling temperature and the preset temperature range being greater than or equal to a first degree of deviation and less than a second degree of deviation, determining the curling temperature control target as a cooling system, and determining a curling temperature control value corresponding to the cooling system based on a difference between the curling temperature and a boundary value of the preset temperature range; In response to a degree of deviation between the coiling temperature and the preset temperature range being greater than a second degree of deviation and less than a third degree of deviation, determining the coiling temperature control object as a rolling mill, and determining a coiling temperature control value corresponding to the rolling mill based on a difference between the coiling temperature and a boundary value of the preset temperature range; In response to the degree of deviation of the curling temperature from the preset temperature range being greater than a third degree of deviation, the curling temperature control objects are determined to be the rolling mill and the cooling system, and the curling temperature control value corresponding to the rolling mill and the curling temperature control value corresponding to the cooling system are determined based on the difference between the curling temperature and the boundary value of the preset temperature range.
5. A hot rolling coil temperature control method according to claim 1, characterized in that: The coiling temperature control value corresponding to the rolling mill is the rolling adjustment speed corresponding to the rolling mill; The method of correcting the coiling temperature control value corresponding to the rolling mill based on the tension of the coiler to obtain the coiling temperature control value of the rolling mill includes: Determine the rolling speed range of the rolling mill based on the tension of the coiler; In response to the rolling adjustment speed corresponding to the rolling mill exceeding the upper limit of the rolling speed range, correcting the rolling adjustment speed corresponding to the rolling mill to the upper limit of the rolling speed range; In response to the rolling adjustment speed corresponding to the rolling mill being lower than the lower limit of the rolling speed range, correcting the rolling adjustment speed corresponding to the rolling mill to the lower limit of the rolling speed range; In response to the rolling adjustment speed corresponding to the rolling mill being within the rolling speed range, no correction is performed.
6. A hot rolling coil temperature control method according to claim 5, characterized in that: The coiling temperature control objects include: rolling mill and cooling system; The step of correcting the coiling temperature control value corresponding to the coiling temperature control object other than the rolling mill based on the correction value of the coiling temperature control value corresponding to the rolling mill includes: In response to a correction value of the coiling temperature control value corresponding to the rolling mill being greater than a first correction value, correcting the coiling temperature control value of the cooling system based on the correction value of the coiling temperature control value corresponding to the rolling mill; In response to the correction value of the coil temperature control value corresponding to the rolling mill being less than or equal to the first correction value, no correction is performed.
7. A hot rolling coil temperature control method according to claim 6, characterized in that: The step of correcting the coiling temperature control value of the cooling system based on the correction value of the coiling temperature control value corresponding to the rolling mill includes: determining a temperature to be compensated based on a correction value of a coiling temperature control value corresponding to the rolling mill; determining a correction value of a curling temperature control value of the cooling system based on the temperature to be compensated; The curling control value of the cooling system is corrected based on the correction value of the curling temperature control value of the cooling system.
8. A hot rolling coil temperature control system, characterized in that: include: a prediction module for determining a coiling temperature of the steel strip to be coiled based on rolling characteristics, physical characteristics of the steel strip to be coiled, and cooling characteristics of a cooling system; a strategy output module for determining a curling temperature control strategy based on the curling temperature and the preset temperature interval in response to the curling temperature not conforming to the preset temperature interval; The curling temperature control strategy includes: a plurality of curling temperature control objects and their corresponding curling temperature control values; a first control module configured to control the corresponding coiling temperature control object based on the coiling temperature control value in response to the coiling temperature control object not including the rolling mill; The second control module is used to respond to the fact that the curling temperature control object includes a rolling mill, correct the curling temperature control value corresponding to the rolling mill based on the tension of the coiler, and obtain the curling temperature control value of the rolling mill; control the rolling mill based on the curling temperature control value of the rolling mill; correct the curling temperature control value corresponding to the curling temperature control object other than the rolling mill based on the corrected value of the curling temperature control value corresponding to the rolling mill; and control the corresponding curling temperature control object other than the rolling mill based on the corrected curling temperature control value.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.