Intelligent control method for the lifting rate of the top rod in a vacuum isothermal forging furnace

Abstract

This application provides a method and apparatus for intelligent control of the riser rate of a mandrel in a vacuum isothermal forging billet heating furnace, relating to the field of high-end intelligent device manufacturing. The method includes: acquiring attribute information of the billet to be heated; determining a target riser rate corresponding to the billet based on the attribute information and a preset intelligent control model for the riser rate; wherein the intelligent control model for the riser rate is used to predict the riser rate when the mandrel drives the billet during lifting and lowering based on the billet's attribute information; and controlling the mandrel to drive the billet into the billet heating chamber according to the target riser rate. This method is applicable to the billet heating process in vacuum isothermal forging and is used to improve the intelligence level of the heating furnace.

Description

Technical Field

[0001] This application relates to the field of high-end intelligent device manufacturing, and in particular to an intelligent control method and device for the rising rate of the top rod of a vacuum isothermal forging billet heating furnace. Background Technology

[0002] Vacuum forging is a metal forging process performed in a vacuum environment. Because there is virtually no air or other impurities in a vacuum environment, reactions between the metal and gases such as oxygen and nitrogen are avoided during heating and forging, reducing defects such as oxidation and decarburization. It also helps remove gaseous impurities from the metal, improving the quality of the forgings.

[0003] In the vacuum forging solution provided by related technologies, the billet needs to be taken out of the heating furnace after being heated in the heating furnace, and then put back into the vacuum forging chamber for forging.

[0004] After being removed from the heating furnace, the billet temperature drops rapidly, which easily leads to the formation of coarse grains on the surface of the billet. This makes it difficult for the billet to achieve superplastic forming. Summary of the Invention

[0005] This application provides an intelligent control method and device for the lifting rate of the push rod in a vacuum isothermal forging billet heating furnace. The method allows for intelligent control of the lifting rate of the push rod in the furnace, enabling the furnace to heat billets in a vacuum environment. This facilitates docking with the vacuum forging chamber without breaking the vacuum and improves the level of intelligence of the furnace.

[0006] In a first aspect, this application provides an intelligent control method for the lifting rate of a push rod in a vacuum isothermal forging billet heating furnace. This method is applied to an intelligent control device for the vacuum isothermal forging billet heating furnace. The vacuum isothermal forging billet heating furnace further includes a billet placement chamber and a billet heating chamber disposed above the billet placement chamber. The billet heating chamber communicates with the billet placement chamber through a lower opening. A tray for placing billets is provided inside the billet placement chamber, and a liftable push rod is installed at the bottom of the tray. The push rod is used to lift and drive the billet placed in the tray to enter or leave the billet heating chamber through the lower opening. The billet heating chamber is used to heat the billet in a vacuum environment. The method includes: acquiring attribute information of the billet to be heated; determining a target lifting rate corresponding to the billet to be heated based on the attribute information and a preset intelligent control model for the lifting rate of the push rod; wherein the intelligent control model for the lifting rate of the push rod is used to predict the lifting rate of the billet when the push rod lifts and drives it according to the attribute information of the billet; and controlling the push rod to drive the billet to be heated into the billet heating chamber according to the target lifting rate.

[0007] The intelligent control method for the lifting rate of the push rod in the vacuum isothermal forging billet heating furnace provided in this application includes a billet placement chamber and a billet heating chamber disposed above the billet placement chamber. The push rod in the billet placement chamber can lift and lower to drive the billet placed in the tray through the lower port of the billet heating chamber into the billet heating chamber. The billet heating chamber can be used to heat the billet in a vacuum environment. This facilitates direct docking of the billet heating furnace with the vacuum forging chamber without breaking the vacuum, thereby improving transfer efficiency, preventing rapid temperature drop of the billet leading to the formation of coarse grains on the surface of the billet, and making the billet easier to achieve superplastic forming.

[0008] Furthermore, in the intelligent control method for the mandrel rising rate of the vacuum isothermal forging billet heating furnace provided in this application, the intelligent control device can determine the target rising rate corresponding to the billet to be heated based on attribute information and a preset intelligent control model for the mandrel rising rate, and control the mandrel to drive the billet to be heated into the billet heating chamber according to the target rising rate. Compared with the fixed rising rate in related technologies, this application can control the mandrel to rise according to different rising rates for billets with different attribute information. When the attribute information of the billet changes, the control strategy can be adaptively adjusted to adapt to different billet changes, thereby improving heating and forging efficiency.

[0009] Optionally, the attribute information includes: material, mass, size, first ratio, and second ratio; wherein, the first ratio is the ratio of the height of the billet to be heated to the area of ​​the bottom surface; the second ratio is the ratio of the size of the bottom surface of the billet in the first direction and the size in the second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated.

[0010] Optionally, based on attribute information and a preset intelligent control model for the riser rate, the target riser rate corresponding to the billet to be heated is determined, including: constructing attribute information for a new feature based on the attribute information of the billet to be heated, and obtaining attribute information for the new feature; inputting the attribute information for the new feature into the intelligent control model for the riser rate, and obtaining the target riser rate output by the intelligent control model for the riser rate.

[0011] In the intelligent control method for the riser rate of the ejector pin in the vacuum isothermal forging billet heating furnace provided in this application, the intelligent control device can perform feature engineering on the original features in the attribute information of the billet to be heated, extract meaningful new features that can help evaluate and predict the riser rate, and further improve the accuracy of the riser rate prediction.

[0012] Optionally, the newly created feature includes at least one of the following: the product of mass and a first ratio, the product of mass and a second ratio, a first irregularity coefficient, a second irregularity coefficient, and a dimensional difference rate; wherein, the first ratio is the ratio of the height of the billet to be heated to the area of ​​its bottom surface; the second ratio is the ratio of the dimension of the bottom surface of the billet to be heated in a first direction and the dimension in a second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated; when the first ratio is greater than a first ratio threshold, the first irregularity coefficient is 1; when the first ratio threshold is less than the first ratio threshold, the first irregularity coefficient is 0; when the second ratio is greater than the second ratio threshold, the second irregularity coefficient is 1; when the second ratio threshold is less than the second ratio threshold, the second irregularity coefficient is 0; the dimensional difference rate is determined based on the ratio of the first value to the second value; the first value is the absolute value of the difference between the dimension of the bottom surface of the billet to be heated in the first direction and the dimension in the second direction; the second value is the sum of the dimensions of the bottom surface of the billet to be heated in the first direction and the dimension in the second direction.

[0013] Optionally, the intelligent control model for the riser rate is trained in the following way: obtaining a training sample set; the training sample set includes multiple training samples; each training sample includes the attribute information of the training billet and the riser rate label; and training the initial model based on the training sample set to obtain the intelligent control model for the riser rate.

[0014] Optionally, the initial model is trained based on the training sample set to obtain the intelligent control model for the riser rate of the push rod, including: constructing new features based on the attribute information of the training samples and adding them to the training samples to obtain a training sample set with the new features; inputting the training samples in the training sample set with the new features into the initial model for training to obtain the intelligent control model for the riser rate of the push rod.

[0015] Secondly, this application provides an intelligent control device for a vacuum isothermal forging billet heating furnace. The vacuum isothermal forging billet heating furnace further includes a billet placement chamber and a billet heating chamber disposed above the billet placement chamber. The billet heating chamber is connected to the billet placement chamber through a lower opening. A tray for placing billets is disposed in the billet placement chamber, and a liftable push rod is installed at the bottom of the tray. The push rod is used to lift and drive the billet placed in the tray to enter or leave the billet heating chamber through the lower opening of the billet heating chamber. The billet heating chamber is used to heat the billet in a vacuum environment. The intelligent control device includes: an acquisition module and a processing module. The acquisition module is used to acquire the attribute information of the billet to be heated. The processing module is used to determine the target rising rate corresponding to the billet to be heated based on the attribute information and a preset push rod rising rate intelligent control model. The push rod rising rate intelligent control model is used to predict the rising rate when the push rod lifts and drives the billet according to the attribute information of the billet. The push rod is controlled to drive the billet to be heated into the billet heating chamber according to the target rising rate.

[0016] Optionally, the attribute information includes: material, mass, size, first ratio, and second ratio; wherein, the first ratio is the ratio of the height of the billet to be heated to the area of ​​the bottom surface; the second ratio is the ratio of the size of the bottom surface of the billet in the first direction and the size in the second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated.

[0017] Optionally, the processing module is specifically used to construct new feature addition attribute information based on the attribute information of the billet to be heated, and obtain the attribute information of the added new feature; input the attribute information of the added new feature into the intelligent control model of the push rod rising rate, and obtain the target rising rate output by the intelligent control model of the push rod rising rate.

[0018] Optionally, the newly created feature includes at least one of the following: the product of mass and a first ratio, the product of mass and a second ratio, a first irregularity coefficient, a second irregularity coefficient, and a dimensional difference rate; wherein, the first ratio is the ratio of the height of the billet to be heated to the area of ​​its bottom surface; the second ratio is the ratio of the dimension of the bottom surface of the billet to be heated in a first direction and the dimension in a second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated; when the first ratio is greater than a first ratio threshold, the first irregularity coefficient is 1; when the first ratio threshold is less than the first ratio threshold, the first irregularity coefficient is 0; when the second ratio is greater than the second ratio threshold, the second irregularity coefficient is 1; when the second ratio threshold is less than the second ratio threshold, the second irregularity coefficient is 0; the dimensional difference rate is determined based on the ratio of the first value to the second value; the first value is the absolute value of the difference between the dimension of the bottom surface of the billet to be heated in the first direction and the dimension in the second direction; the second value is the sum of the dimensions of the bottom surface of the billet to be heated in the first direction and the dimension in the second direction.

[0019] Optionally, the acquisition module is also used to acquire a training sample set; the training sample set includes multiple training samples; each training sample includes the attribute information of the training billet and the rising rate label; the processing module is also used to train the initial model based on the training sample set to obtain the intelligent control model of the riser rate of the push rod.

[0020] Optionally, the processing module is specifically used to construct new features based on the attribute information of the training samples and add them to the training samples to obtain a training sample set with the new features; and to input the training samples in the training sample set with the new features into the initial model for training to obtain the intelligent control model for the riser rate of the push rod.

[0021] Thirdly, this application provides a computer program product, comprising: computer instructions; when the computer instructions are executed on an intelligent control device, the intelligent control device performs the method described in the first aspect above.

[0022] Fourthly, this application provides an intelligent control device for a vacuum isothermal forging billet heating furnace, the intelligent control device comprising: a processor and a memory; the memory storing instructions executable by the processor; when the processor is configured to execute the instructions, the intelligent control device enables the intelligent control device to implement the method described in the first aspect above.

[0023] Fifthly, this application provides a readable storage medium comprising: software instructions; when the software instructions are executed in an intelligent control device, the intelligent control device causes the intelligent control device to implement the method described in the first aspect above.

[0024] The beneficial effects of the second to fifth aspects mentioned above can be referred to the first aspect, and will not be repeated here. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of this application 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 this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 A schematic diagram illustrating the composition of the intelligent control system for the vacuum isothermal forging billet heating furnace provided in the embodiments of this application;

[0027] Figure 2 A schematic diagram of the composition of the vacuum isothermal forging billet heating furnace 100 provided in the embodiments of this application;

[0028] Figure 3 A flowchart illustrating the intelligent control method for the top rod rising rate of a vacuum isothermal forging billet heating furnace provided in this application embodiment;

[0029] Figure 4 A schematic diagram of the intelligent control device for the vacuum isothermal forging billet heating furnace provided in the embodiments of this application;

[0030] Figure 5 A schematic diagram of the composition of an intelligent control device for a vacuum isothermal forging billet heating furnace provided in an embodiment of this application. Detailed Implementation

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

[0032] It should be noted that in the embodiments of this application, the words "exemplarily" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design scheme described as "exemplarily" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design schemes. Specifically, the use of the words "exemplarily" or "for example" is intended to present the relevant concepts in a specific manner.

[0033] To facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first" and "second" are used in the embodiments of this application to distinguish the same or similar items with essentially the same function and effect. Those skilled in the art can understand that the terms "first" and "second" are not intended to limit the quantity or execution order.

[0034] Vacuum forging is a metal forging process performed in a vacuum environment. Because there is virtually no air or other impurities in a vacuum environment, reactions between the metal and gases such as oxygen and nitrogen are avoided during heating and forging, reducing defects such as oxidation and decarburization. It also helps remove gaseous impurities from the metal, improving the quality of the forgings.

[0035] In the vacuum forging solution provided by related technologies, the billet needs to be taken out of the heating furnace after being heated in the heating furnace, and then put back into the vacuum forging chamber for forging.

[0036] After being removed from the heating furnace, the billet temperature drops rapidly, which easily leads to the formation of coarse grains on the surface of the billet. This makes it difficult for the billet to achieve superplastic forming.

[0037] Based on this, this application provides an intelligent control method for the rising rate of the top rod of a vacuum isothermal forging billet heating furnace. This method can provide a vacuum isothermal forging billet heating furnace that can heat the billet in a vacuum environment, which facilitates docking with the vacuum forging chamber without breaking the vacuum and improves the intelligence level of the vacuum isothermal forging billet heating furnace.

[0038] The following description is provided in conjunction with the accompanying drawings.

[0039] Figure 1 This is a schematic diagram illustrating the composition of the intelligent control system for the vacuum isothermal forging billet heating furnace provided in an embodiment of this application. Figure 1 As shown, the intelligent control system may include a vacuum isothermal forging furnace 100 and an intelligent control device 200. The intelligent control device 200 has a communication connection with the vacuum isothermal forging furnace 100 or specific components within the vacuum isothermal forging furnace 100.

[0040] Figure 2 This is a schematic diagram illustrating the composition of the vacuum isothermal forging furnace 100 provided in an embodiment of this application. Figure 2 As shown, the vacuum isothermal forging billet heating furnace 100 may include a billet placement chamber 10 and a billet heating chamber 20. The billet heating chamber 20 is disposed above the billet placement chamber 10 and is connected to the billet placement chamber through a lower opening.

[0041] The billet placement chamber 10 includes: a bottom plate 11, a furnace door 12, a vacuum gate 13, and a lower furnace shell. Figure 2 (Not shown in the image) The top of the billet placement chamber 10 is connected to the lower opening of the billet heating chamber 20. The billet placement chamber 10 and the vacuum forging chamber 19 can be sealed together by a vacuum gate 13.

[0042] A billet placement chamber 10 has a tray 14 for placing billets 30 located in the center. The tray 14 is supported by a bracket 15 on a base plate 11. A three-jaw chuck 16 for clamping and positioning the billets 30 is installed on the edge of the tray 14. A pallet 17 for supporting the bottom of the billets 30 (or for placing the billets) is fitted in the central through hole of the tray 14. A liftable push rod 18 is installed at the bottom of the pallet 17, extending out of the base plate 11 and sealingly engaging with it. The push rod 18 is used to lift and drive the billets 30 placed in the pallet 17 to enter or exit the billet heating chamber 20 through the lower opening of the billet heating chamber 20.

[0043] The billet heating chamber 20 can be used to heat the billet 30 in a vacuum environment.

[0044] For example, the vacuum isothermal forging furnace 100 may also include a vacuum pumping unit ( Figure 2 (Not shown in the diagram), the vacuum unit may include a Roots pump and an expansion pump, and is connected to the billet placement chamber 10 and / or the billet heating chamber 20 via vacuum pipes. The vacuum unit can be used to evacuate the billet placement chamber 10 and / or the billet heating chamber 20.

[0045] The process of heating billet 30 using the above-mentioned vacuum isothermal forging billet heating furnace 100 is as follows: The furnace door 12 is opened, and the billet 30 is held by a robotic arm and placed in the center of the material tray 14 in the billet placement chamber 10. Then, the three-jaw chuck 16 clamps the billet 30 in the center of the material tray 14 or pallet 17 (or, in other words, the center of the billet 30 is the same as the center of the pallet 17). The furnace door 12 is closed, and the vacuum isothermal forging billet heating furnace 100 is evacuated. After the vacuum degree reaches the preset vacuum degree threshold, the three-jaw chuck 16 is released, and the push rod 18 pushes against the pallet 17 and the billet 30 on the pallet 17, rising into the billet heating chamber 20. The billet 30 is completely placed in the billet heating chamber 20 for heating. After the billet 30 is heated to the required heating temperature, the push rod 18 descends, returning the billet 30 to its original position on the material tray 14. The vacuum gate 13 is opened, and the billet 30 is fed by a feeding robotic arm in the billet placement chamber 10. Figure 2 (Not shown in the image) The billet 30 is fed into the vacuum forging chamber 19 for forging.

[0046] The intelligent control device 200 can be an electronic device with computing and processing functions, such as a computer or server, that is wirelessly connected to the vacuum isothermal forging furnace 100; alternatively, the intelligent control device 200 can also be a control unit installed on the vacuum isothermal forging furnace 100 and wiredly connected to specific components of the vacuum isothermal forging furnace 100. This application does not impose any limitations on this.

[0047] The intelligent control device 200 can be used to control the rising rate of the ejector pin in the vacuum isothermal forging billet heating furnace 100. The specific process can be found in the section on the intelligent control method for the rising rate of the ejector pin in the vacuum isothermal forging billet heating furnace provided in the following embodiment, and will not be repeated here.

[0048] The intelligent control method for the riser rate of the ejector pin in the vacuum isothermal forging furnace provided in this application embodiment is executed by an intelligent control device (such as the intelligent control device 200 described above). Optionally, the intelligent control method for the riser rate of the ejector pin in the vacuum isothermal forging furnace may also be the processor (e.g., a central processing unit, CPU) in the aforementioned intelligent control device; or, the execution subject may also be a software system installed in the aforementioned intelligent control device for executing the intelligent control method; or, the execution subject may also be a functional module in the aforementioned intelligent control device for executing the intelligent control method, etc. This application embodiment does not impose any limitations on this.

[0049] For simplicity, the following description will use the intelligent control device as the execution subject of the intelligent control method for the rise rate of the top rod of the vacuum isothermal forging billet heating furnace provided in the embodiments of this application.

[0050] Figure 3 A schematic flowchart illustrating the intelligent control method for the top rod rising rate of a vacuum isothermal forging billet heating furnace provided in this application embodiment. Figure 3 As shown, the method includes the following steps:

[0051] S101. Obtain the property information of the billet to be heated.

[0052] The properties of the billet to be heated include: material, mass, dimensions, a first ratio, and a second ratio. The first ratio is the ratio of the height of the billet to the area of ​​its bottom surface (or the surface in contact with the tray). The second ratio is the ratio of the dimensions of the bottom surface of the billet in a first direction to the dimensions in a second direction. The first and second directions are perpendicular to each other, and their intersection is the center of the bottom surface of the billet. For example, if the bottom surface of the billet is rectangular, the first and second directions can be understood as the length and width directions of the bottom surface of the billet.

[0053] As an example, the intelligent control device may include an input / output interface that can be connected to a mouse, keyboard, or touch screen, etc. The intelligent control device can receive the attribute information of the billet to be heated by the operator through the input / output interface via the mouse, keyboard, or touch screen.

[0054] As another example, the intelligent control device can communicate with a device or platform that stores the property information of the billet, and the intelligent control device can receive the property information of the billet to be heated sent from these devices or platforms.

[0055] S102. Based on attribute information and a preset intelligent control model for the rising rate of the top rod, determine the target rising rate corresponding to the billet to be heated.

[0056] The intelligent control model for the riser rate is used to predict the riser rate of the billet when the riser drives the billet upward based on the billet's property information. The specific training process for the intelligent control model for the riser rate can be referred to in the following embodiments, and will not be repeated here.

[0057] S103. Control the top rod to drive the billet to be heated into the billet heating chamber according to the target rising rate.

[0058] As an example, the push rod can be specifically driven to rise or fall by a drive motor. In this case, the intelligent control device can specifically control the rising rate of the push rod by changing the control signal of the drive motor.

[0059] As another example, the push rod can also be driven to rise or fall by a hydraulic system. In this case, the intelligent control device can specifically control the rising rate of the push rod by adjusting the flow rate of hydraulic oil entering the hydraulic cylinder by changing the opening of the regulating valve.

[0060] The intelligent control method for the lifting rate of the push rod in the vacuum isothermal forging billet heating furnace provided in this application embodiment includes a billet placement chamber and a billet heating chamber disposed above the billet placement chamber. The push rod in the billet placement chamber can lift and lower to drive the billet placed in the tray through the lower port of the billet heating chamber into the billet heating chamber. The billet heating chamber can be used to heat the billet in a vacuum environment. This facilitates direct docking of the billet heating furnace with the vacuum forging chamber without breaking the vacuum, thereby improving transfer efficiency, preventing rapid temperature drop of the billet leading to the formation of coarse grains on the surface of the billet, and making the billet easier to achieve superplastic forming.

[0061] Furthermore, in the intelligent control method for the riser rate of the vacuum isothermal forging billet heating furnace provided in this application embodiment, the intelligent control device can determine the target riser rate corresponding to the billet to be heated based on attribute information and a preset intelligent control model for the riser rate, and control the riser to drive the billet to be heated into the billet heating chamber according to the target riser rate. Compared with the fixed riser rate in related technologies, this application can control the riser to rise according to different riser rates for billets with different attribute information. When the attribute information of the billet changes, the control strategy can be adaptively adjusted to adapt to different billet changes, thereby improving heating and forging efficiency.

[0062] The specific process of S102 described above is described below.

[0063] In some possible embodiments, the intelligent control device can input the original features in the attribute information into the intelligent control model of the push rod rising rate to obtain the target rising rate output by the intelligent control model of the push rod rising rate.

[0064] In other possible embodiments, the intelligent control device may also perform feature engineering on the features in the attribute information, and then input the feature-engineered features into the intelligent control model for the riser rate of the push rod to obtain the target riser rate output by the intelligent control model for the riser rate of the push rod. In this case, the above S102 may specifically include the following steps:

[0065] Step 1a: Construct new feature and add attribute information based on the attribute information of the billet to be heated, and obtain the attribute information of the new feature.

[0066] Optionally, the newly created feature may include at least one of the following: the product of mass and a first ratio, the product of mass and a second ratio, a first irregularity coefficient, a second irregularity coefficient, and a size difference rate.

[0067] The first ratio is the ratio of the height of the billet to be heated to the area of ​​its bottom surface.

[0068] The second ratio is the ratio of the dimension of the bottom surface of the billet to be heated in the first direction to the dimension in the second direction. The first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated.

[0069] When the first ratio is greater than a first ratio threshold, the first irregularity coefficient is 1; when the first ratio threshold is less than the first ratio threshold, the first irregularity coefficient is 0. The first ratio threshold can be preset in the intelligent control device. For example, the first ratio threshold can be set to 1.5, 2, 2.5, or 3, etc. The embodiments of this application do not limit the specific value of the first ratio threshold.

[0070] When the second ratio is greater than the second ratio threshold, the second irregularity coefficient is 1; when the second ratio threshold is less than the second ratio threshold, the second irregularity coefficient is 0. The second ratio threshold can be preset in the intelligent control device. For example, the second ratio threshold can be set to 5, 6, 7, or 8, etc. The embodiments of this application do not limit the specific value of the second ratio threshold.

[0071] The dimensional difference rate is determined based on the ratio of a first value to a second value. The first value is the absolute value of the difference between the dimension (or length) of the bottom surface of the billet to be heated in the first direction and the dimension (or length) in the second direction. The second value is the sum of the dimension of the bottom surface of the billet to be heated in the first direction and the dimension in the second direction.

[0072] For example, the dimensional difference rate can be calculated using the following formula:

[0073] Formula (1)

[0074] In formula (1), This indicates the dimensional variation rate. This indicates the dimension of the bottom surface of the blank to be heated in the first direction. This indicates the dimension of the bottom surface of the billet to be heated in the second direction.

[0075] Step 2a: Input the attribute information of the newly added feature into the intelligent control model of the push rod rising rate to obtain the target rising rate output by the intelligent control model of the push rod rising rate.

[0076] In the intelligent control method for the riser rate of the ejector pin in the vacuum isothermal forging billet heating furnace provided in this application embodiment, the intelligent control device can perform feature engineering on the original features in the attribute information of the billet to be heated, extract meaningful new features that can help evaluate and predict the riser rate of the ejector pin, and further improve the accuracy of the riser rate prediction.

[0077] In some embodiments, prior to S102 described above, the intelligent control device may also acquire the trained intelligent control model of the push rod rising rate.

[0078] In one possible implementation, the intelligent control device can directly obtain the trained intelligent control model of the push rod's ascent rate from other devices.

[0079] For example, the intelligent control device can obtain the trained intelligent control model of the push rod rising rate from other devices by downloading or transferring it through an intermediate medium.

[0080] In another possible implementation, the intelligent control device can also train itself to obtain an intelligent control model for the rise rate of the push rod. In this case, before S102 above, the method may further include the following steps:

[0081] Step 1b: Obtain the training sample set.

[0082] The training sample set includes multiple training samples, each of which includes the attribute information and rise rate label of the training billet.

[0083] Step 2b: Train the initial model based on the training sample set to obtain the intelligent control model for the lifting rate of the top rod.

[0084] Optionally, the initial model can be a multilayer perceptron (MLP) model or a convolutional neural network (CNN) model, etc. This application does not limit the specific type of the initial model.

[0085] As an example, an MLP model can consist of an input layer, multiple hidden layers, and an output layer. By performing nonlinear transformations on neurons through activation functions, it can learn the complex mapping relationship between features in the attribute information and the rise rate of the top rod.

[0086] As another example, the intelligent control device can use an encoder to encode features in the attribute information to obtain a feature matrix. Then, it can use convolution kernels in a CNN model to perform convolution operations on the feature matrix, automatically extracting features from the feature matrix. Pooling layers in the CNN model can downsample the features extracted by the convolutional layers. After feature extraction and compression by multiple convolutional and pooling layers, the features can enter a fully connected layer. The fully connected layer can integrate all the previously extracted features and map these features to the output space through the fully connected relationships between neurons to obtain the predicted value of the rise rate of the push rod.

[0087] Alternatively, the intelligent control device can directly input the original features of the training samples into the initial model for training.

[0088] For example, as mentioned above, the training sample set can include multiple training samples. The intelligent control device can input one or more training samples into the initial model each time to obtain the predicted rise rate output by the initial model. Then, it compares the predicted rise rate with the rise rate labels in the training samples, calculates the loss function, and then adjusts the parameters in the initial model according to the loss function until the model convergence condition is met, thus obtaining the intelligent control model for the rise rate of the push rod.

[0089] Optionally, the model convergence condition may include: the number of times the training samples are input into the initial model reaches a threshold, and / or the prediction error of the initial model is less than an error threshold.

[0090] The number of attempts threshold can be preset in the intelligent control device. For example, the number of attempts threshold can be set to 500, 1000, or 10000. This application embodiment does not limit the specific value of the number of attempts threshold. The error threshold can also be preset in the intelligent control device. For example, the error threshold can be set to 3%, 5%, or 8%. This application embodiment does not limit the specific value of the error threshold.

[0091] Optionally, the intelligent control device can also perform feature engineering on the original features in the training samples and then input them into the initial model for training. In this case, step 2b above can specifically include the following steps:

[0092] Step 2.1b: Construct new features based on the attribute information of the training samples and add them to the training samples to obtain a training sample set with the new features added.

[0093] Step 2.1b can refer to the above-mentioned intelligent control device to perform feature engineering processing on the features in the attribute information, and then input the feature-engineered features into the intelligent control model of the push rod rising rate to obtain the target rising rate output by the intelligent control model of the push rod rising rate. The process will not be repeated here.

[0094] Step 2.2b: Input the training samples from the training sample set with newly added features into the initial model for training to obtain the intelligent control model for the riser rate of the push rod.

[0095] The specific process of step 2.2b can be referred to the process of directly inputting training samples into the initial model for training, as described above, and will not be repeated here.

[0096] The foregoing mainly describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, the intelligent control device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0097] In an exemplary embodiment, this application also provides an intelligent control device for a vacuum isothermal forging billet heating furnace. Figure 4 A schematic diagram illustrating the composition of the intelligent control device for the vacuum isothermal forging billet heating furnace provided in this application embodiment. Figure 4 As shown, the intelligent control device includes an acquisition module 401 and a processing module 402.

[0098] The acquisition module 401 is used to acquire the attribute information of the billet to be heated.

[0099] The processing module 402 is used to determine the target rising rate of the billet to be heated based on attribute information and a preset intelligent control model for the rising rate of the push rod; wherein, the intelligent control model for the rising rate of the push rod is used to predict the rising rate of the billet when the push rod lifts and lowers based on the attribute information of the billet; and to control the push rod to drive the billet to be heated into the billet heating chamber according to the target rising rate.

[0100] In some possible embodiments, the attribute information includes: material, mass, size, a first ratio, and a second ratio; wherein, the first ratio is the ratio of the height of the billet to be heated to the area of ​​its bottom surface; the second ratio is the ratio of the size of the bottom surface of the billet in a first direction to the size in a second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated.

[0101] In other possible embodiments, the processing module 402 is specifically used to construct new feature addition attribute information based on the attribute information of the billet to be heated, and obtain the attribute information of the added new feature; input the attribute information of the added new feature into the intelligent control model of the riser rate of the push rod, and obtain the target riser rate output by the intelligent control model of the riser rate of the push rod.

[0102] In some other possible embodiments, the newly created feature includes at least one of the following: the product of mass and a first ratio, the product of mass and a second ratio, a first irregularity coefficient, a second irregularity coefficient, and a dimensional difference rate; wherein the first ratio is the ratio of the height of the billet to be heated to the area of ​​its bottom surface; the second ratio is the ratio of the dimension of the bottom surface of the billet to be heated in a first direction and the dimension in a second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated; when the first ratio is greater than a first ratio threshold, the first irregularity coefficient is 1; when the first ratio threshold is less than the first ratio threshold, the first irregularity coefficient is 0; when the second ratio is greater than the second ratio threshold, the second irregularity coefficient is 1; when the second ratio threshold is less than the second ratio threshold, the second irregularity coefficient is 0; the dimensional difference rate is determined based on the ratio of the first value to the second value; the first value is the absolute value of the difference between the dimension of the bottom surface of the billet to be heated in the first direction and the dimension in the second direction; the second value is the sum of the dimension of the bottom surface of the billet to be heated in the first direction and the dimension in the second direction.

[0103] In some other possible embodiments, the acquisition module 401 is further configured to acquire a training sample set; the training sample set includes multiple training samples; each training sample includes attribute information of the training billet and a rising rate label; the processing module 402 is further configured to train the initial model based on the training sample set to obtain an intelligent control model for the rising rate of the push rod.

[0104] In some other possible embodiments, the processing module 402 is specifically used to construct new features based on the attribute information of the training samples and add them to the training samples to obtain a training sample set with the new features added; and to input the training samples in the training sample set with the new features added into the initial model for training to obtain an intelligent control model for the riser rate of the push rod.

[0105] It should be noted that, Figure 4 The module division shown is illustrative and represents only one logical functional division; in actual implementation, other division methods are possible. For example, two or more functions can be integrated into a single processing module. These integrated modules can be implemented either in hardware or as software functional modules.

[0106] In an exemplary embodiment, this application also provides an intelligent control device for a vacuum isothermal forging billet heating furnace in the form of a physical device. Figure 5 This is a schematic diagram illustrating the composition of an intelligent control device for another vacuum isothermal forging billet heating furnace provided in an embodiment of this application. Figure 5 As shown, the intelligent control device includes: a processor 40, a memory 50, a communication line 60, a communication interface 70, and an input / output interface 80.

[0107] The processor 40, memory 50, communication interface 70, and input / output interface 80 can be connected via communication line 60.

[0108] The processor 40 is used to execute instructions stored in the memory 50 to implement the intelligent control method for the top rod rising rate of the vacuum isothermal forging billet heating furnace provided in the above embodiments of this application. The processor 40 can be a CPU, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller (MCU) / single-chip microcomputer / microcontroller, a programmable logic device (PLD), or any combination thereof. The processor 40 can also be any other device with processing capabilities, such as a circuit, device, or software module; this application embodiment does not limit this. In one example, the processor 40 may include one or more CPUs, for example... Figure 4 CPU0 and CPU1 are included. As an optional implementation, the intelligent control device may include multiple processors; for example, in addition to processor 40, it may also include processor 90. Figure 4 (The example shown is a dashed line).

[0109] The memory 50 is used to store instructions. For example, the instructions may be computer programs. Optionally, the memory 50 may be a read-only memory (ROM) or other types of static storage devices that can store static information and / or instructions; it may also be a random access memory (RAM) or other types of dynamic storage devices that can store information and / or instructions; it may also be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, etc. The embodiments of this application do not limit this.

[0110] It should be noted that the memory 50 can exist independently of the processor 40, or it can be integrated with the processor 40. The memory 50 can be located inside or outside the intelligent control device, and this application embodiment does not impose any restrictions on this.

[0111] Communication line 60 is used to transmit information between the various components included in the intelligent control device.

[0112] Communication interface 70 is used to communicate with other devices or other communication networks. These other communication networks can be Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc. Communication interface 70 can be a module, circuit, transceiver, or any device capable of enabling communication.

[0113] Input / output interface 80 is used to realize human-machine interaction between the user and the intelligent control device. For example, it enables action interaction or information exchange between the user and the intelligent control device.

[0114] For example, the input / output interface 80 can be a mouse, keyboard, display screen, or touch screen. The mouse, keyboard, display screen, or touch screen can enable action interaction or information exchange between the user and the intelligent control device.

[0115] It should be noted that, Figure 5 The structure shown does not constitute a limitation on the intelligent control device, except Figure 5 In addition to the components shown, the intelligent control device may include more or fewer components than illustrated, or combinations of certain components, or different arrangements of components.

[0116] In an exemplary embodiment, this application also provides a computer program product including computer instructions that, when executed in an intelligent control device, cause the intelligent control device to implement the method described in the foregoing method embodiment.

[0117] In an exemplary embodiment, this application also provides a readable storage medium including software instructions that, when executed in an intelligent control device, cause the intelligent control device to implement the methods described in the foregoing method embodiments. The computer-readable storage medium can be a non-transitory computer-readable storage medium, such as a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device.

[0118] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software programs, implementation can be, in whole or in part, in the form of a computer program product. This computer program product includes one or more computer-executable instructions. When these computer-executable instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer-executable instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer-executable instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means.

[0119] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, disclosure, and appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0120] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

[0121] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for intelligent control of the top rod rising rate in a vacuum isothermal forging billet heating furnace, characterized in that, The method is applied to an intelligent control device for a vacuum isothermal forging billet heating furnace; the vacuum isothermal forging billet heating furnace further includes a billet placement chamber and a billet heating chamber disposed above the billet placement chamber; the billet heating chamber is connected to the billet placement chamber through a lower opening; The billet placement chamber is equipped with a tray for placing billets, and a liftable top rod is installed at the bottom of the tray; the top rod is used to lift and drive the billet placed in the tray to enter or leave the billet heating chamber through the lower opening of the billet heating chamber. The billet heating chamber is used to heat the billet in a vacuum environment; The method includes: Obtain the attribute information of the billet to be heated; the attribute information includes: material, mass, size, first ratio, and second ratio; wherein, the first ratio is the ratio of the height of the billet to be heated to the bottom area; the second ratio is the ratio of the size of the bottom surface of the billet in a first direction and the size in a second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated; Based on the attribute information and the preset intelligent control model for the riser rate, the target riser rate corresponding to the billet to be heated is determined, including: Based on the attribute information of the billet to be heated, a new feature is constructed and the attribute information is added to obtain the attribute information of the newly added feature; The attribute information of the newly added feature is input into the intelligent control model of the push rod rising rate to obtain the target rising rate output by the intelligent control model of the push rod rising rate. The intelligent control model for the lifting rate of the push rod is used to predict the target lifting rate of the billet when the push rod lifts and drives the billet based on the billet's property information. The push rod is controlled to drive the billet to be heated into the billet heating chamber at the target rising rate.

2. The method according to claim 1, characterized in that, The newly created feature includes at least one of the following: the product of mass and a first ratio, the product of mass and a second ratio, a first irregularity coefficient, a second irregularity coefficient, and a dimensional difference rate; When the first ratio is greater than the first ratio threshold, the first irregularity coefficient is 1; when the first ratio is less than the first ratio threshold, the first irregularity coefficient is 0. When the second ratio is greater than the second ratio threshold, the second irregularity coefficient is 1; When the second ratio is less than the second ratio threshold, the second irregularity coefficient is 0; The dimensional difference rate is determined based on the ratio of a first value to a second value; the first value is the absolute value of the difference between the dimensions in the first direction and the dimensions in the second direction of the bottom surface of the billet to be heated; the second value is the sum of the dimensions in the first direction and the dimensions in the second direction of the bottom surface of the billet to be heated.

3. The method according to claim 1, characterized in that, The intelligent control model for the lifting rate of the push rod is trained in the following way: Obtain a training sample set; the training sample set includes multiple training samples; each training sample includes attribute information and rise rate label of the training billet; The initial model is trained based on the training sample set to obtain the intelligent control model for the lifting rate of the push rod.

4. The method according to claim 3, characterized in that, The process of training the initial model based on the training sample set to obtain the intelligent control model for the lifting rate of the push rod includes: Based on the attribute information of the training samples, new features are constructed and added to the training samples to obtain a training sample set with the new features added. The training samples from the training sample set with newly added features are input into the initial model for training to obtain the intelligent control model for the riser rate of the push rod.

5. An intelligent control device for a vacuum isothermal forging billet heating furnace, characterized in that, The vacuum isothermal forging billet heating furnace further includes a billet placement chamber and a billet heating chamber disposed above the billet placement chamber; the billet heating chamber communicates with the billet placement chamber through a lower opening; The billet placement chamber is equipped with a tray for placing billets, and a liftable top rod is installed at the bottom of the tray; the top rod is used to lift and drive the billet placed in the tray to enter or leave the billet heating chamber through the lower opening of the billet heating chamber; the billet heating chamber is used to heat the billet in a vacuum environment; The intelligent control device includes: an acquisition module and a processing module; The acquisition module is used to acquire attribute information of the billet to be heated; the attribute information includes: material, mass, size, first ratio, and second ratio; wherein, the first ratio is the ratio of the height of the billet to be heated to the bottom area; the second ratio is the ratio of the size of the bottom surface of the billet in a first direction and the size in a second direction; the first direction and the second direction are perpendicular to each other, and the intersection of the first direction and the second direction is the center of the bottom surface of the billet to be heated; The processing module is used to determine the target rising rate of the billet to be heated based on the attribute information and a preset intelligent control model for the rising rate of the push rod. This includes: constructing a new feature based on the attribute information of the billet to be heated and adding it to the attribute information to obtain attribute information with the added new feature; inputting the attribute information with the added new feature into the intelligent control model for the rising rate of the push rod to obtain the target rising rate output by the intelligent control model for the rising rate of the push rod; wherein the intelligent control model for the rising rate of the push rod is used to predict the target rising rate when the push rod lifts and drives the billet according to the attribute information of the billet; and controlling the push rod to drive the billet to be heated into the billet heating chamber according to the target rising rate.

6. An intelligent control device for a vacuum isothermal forging billet heating furnace, characterized in that, include: Processor and memory; The memory stores instructions that the processor can execute; When the processor is configured to execute the instructions, the intelligent control device implements the method as described in any one of claims 1-4.

7. A readable storage medium, characterized in that, include: Software instructions; When the software instructions are executed in the intelligent control device, the intelligent control device causes the intelligent control device to implement the method as described in any one of claims 1-4.

8. A computer program product, characterized in that, include: Computer instructions; When the computer instructions are executed in the intelligent control device, the intelligent control device causes the intelligent control device to perform the method as described in any one of claims 1-4.

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