CN116227198A - Device, method, equipment and medium for simulating casting temperature and tissue performance of rolled piece - Google Patents

Abstract

The invention provides a rolling piece casting temperature and tissue performance simulation device, a method, equipment and a medium, wherein the device comprises a data acquisition module, a data processing module, a prediction module and a display module, the prediction module comprises a first prediction sub-module and/or a second prediction sub-module, the data acquisition module acquires initial casting and rolling association parameters and initial tissue performance association parameters, the data processing module screens the initial casting and rolling association parameters and the initial tissue performance association parameters to obtain effective casting and rolling association parameters and effective tissue performance association parameters, and the first prediction sub-module inputs the effective casting and rolling association parameters and effective water tank parameters into a casting and rolling process evolution model to obtain a first prediction result: the second prediction submodule inputs the effective tissue performance related parameters and the effective steel grade parameters into a rolling tissue performance model to obtain a second prediction result: and organizing the performance data, and displaying the first prediction result and/or the second prediction result by the display module.

Description

Device, method, equipment and medium for simulating casting temperature and tissue performance of rolled piece

Technical Field

The invention relates to the technical field of steel rolling, in particular to a device and a method for simulating casting temperature and tissue performance of a rolled piece, electronic equipment and a storage medium.

Background

In recent years, with the continuous development of internet technology, the demand for informatization and intelligence in the industrial field is increasing, and simulation systems for the casting temperature or the tissue performance of wire rod rolled pieces are gradually emerging. The existing rolled piece casting temperature or organization performance simulation system is mostly a Client-Server (Server-Client) architecture, and the development architecture lacks versatility, so that the rolled piece casting temperature or organization performance simulation system developed based on the Client-Server architecture is poor in universality and cross-platform property, and needs redesign and development for system maintenance and upgrading, thereby increasing the difficulty of maintenance and management.

Disclosure of Invention

In view of the above-mentioned shortcomings of the prior art, the present invention provides a device, a method, a device and a medium for simulating casting temperature and tissue performance of a rolled piece, so as to solve the technical problem that the above-mentioned wire rod rolled piece casting temperature or tissue performance simulation system is poor in universality and cross-platform performance.

The invention provides a casting temperature and tissue performance simulation device for rolled pieces, which comprises: the system comprises a data acquisition module, a data processing module, a prediction module and a display module, wherein the prediction module comprises at least one of a first prediction sub-module and a second prediction sub-module; the data acquisition module is used for acquiring initial casting and rolling related parameters of rolled pieces at different positions on a rolling line and initial organization performance related parameters of the rolled pieces at different rolling mill positions; the data processing module is used for carrying out data screening on the initial casting-rolling association parameter and the initial organization performance association parameter to obtain an effective casting-rolling association parameter and an effective organization performance association parameter; the first prediction submodule is used for inputting the effective casting-rolling related parameters and the effective water tank parameters into a pre-trained casting-rolling process evolution model to predict, so that a first prediction result is obtained, wherein the first prediction result comprises temperature field distribution data and shape size data of rolling pieces at different positions on a rolling line, the effective water tank parameters are obtained based on the effective tissue performance related parameters, the casting-rolling process evolution model is obtained based on first training samples, and the first training samples comprise casting-rolling related parameter samples, water tank parameter samples, temperature field distribution actual data samples and shape size actual data samples; the second prediction submodule is used for inputting the effective tissue performance related parameters and the effective steel grade parameters into a pre-trained rolling tissue performance model to predict, so as to obtain a second prediction result, wherein the second prediction result comprises tissue performance data of rolled pieces at different rolling mill positions, the effective steel grade parameters are obtained based on the effective casting and rolling related parameters, the rolling tissue performance model is obtained based on second training samples, and the second training samples comprise tissue performance related parameter samples, steel grade parameter samples and tissue performance actual data samples; the display module is used for displaying at least one of the first prediction result and the second prediction result.

In an embodiment of the present invention, the data acquisition module includes at least one of a real-time data acquisition unit and a design parameter input unit, the initial casting-rolling association parameter includes at least one of an initial casting-rolling real-time association parameter and an initial casting-rolling design association parameter, and the initial organization performance association parameter includes at least one of an initial organization performance real-time association parameter and an initial organization performance design association parameter; the real-time data acquisition unit is used for acquiring the initial casting and rolling real-time associated parameters and the initial tissue performance real-time associated parameters; the design parameter input unit is used for collecting the initial casting and rolling design related parameters and the initial organization performance design related parameters.

In an embodiment of the present invention, the data processing module includes at least one of a first data processing sub-module and a second data processing sub-module; the first data processing sub-module is used for carrying out data screening on the initial casting and rolling real-time associated parameters and the initial organization performance real-time associated parameters to obtain effective casting and rolling real-time associated parameters and effective organization performance real-time associated parameters; and the second data processing sub-module is used for carrying out data screening and data integration on the initial casting and rolling design association parameters and the initial organization performance design association parameters to obtain effective casting and rolling design association parameters and effective organization performance design association parameters.

In an embodiment of the present invention, the data processing module includes the first data processing sub-module and the second data processing sub-module; the first data processing sub-module is further configured to send the effective casting and rolling real-time associated parameter and the effective organization performance real-time associated parameter to a message queue; the second data processing sub-module is further configured to receive the effective casting and rolling real-time associated parameter and the effective organization performance real-time associated parameter from the message queue, and send the effective casting and rolling associated parameter and the effective organization performance associated parameter to at least one of the first prediction sub-module and the second prediction sub-module.

In an embodiment of the invention, the display module includes a rendering unit and a display unit, where the rendering unit includes at least one of a first rendering subunit and a second rendering subunit; the first rendering subunit is used for rendering the first prediction result to obtain a first prediction result rendering diagram, and the first prediction result rendering diagram comprises at least one of a rolling line whole-course temperature evolution diagram and a rolled piece shape and size change diagram; the second rendering subunit is used for rendering the second prediction result to obtain a second prediction result rendering diagram, and the second prediction result rendering diagram comprises at least one of a mechanical property diagram, a variable diagram of each pass parameter, a yield strength diagram and a tissue proportion diagram; the display unit is used for displaying at least one of the first prediction result rendering diagram and the second prediction result rendering diagram.

In an embodiment of the present invention, the apparatus further includes a first training module, where the first training module obtains the casting process evolution model through the following training process: collecting the casting-rolling association parameter sample, the water tank parameter sample, the temperature field distribution actual data sample and the shape and size actual data sample; inputting the casting-rolling association parameter sample and the water tank parameter sample into a first initial neural network model for prediction to obtain temperature field distribution prediction data and shape and size prediction data of rolled pieces at different positions on a rolling line; and training the first initial neural network model according to the temperature field distribution prediction data, the shape size prediction data, the temperature field distribution actual data sample and the shape size actual data sample to obtain the casting and rolling process evolution model.

In an embodiment of the present invention, the apparatus further includes a second training module, where the second training module obtains the rolling tissue performance model through the following steps: collecting the tissue performance related parameter sample, the steel grade parameter sample and the tissue performance actual data sample; inputting the tissue performance related parameter sample and the steel grade parameter sample into a second initial neural network model for prediction to obtain tissue performance prediction data of rolled pieces at different rolling mill positions; and training the second initial neural network model according to the tissue performance prediction data and the tissue performance actual data sample to obtain the rolling tissue performance model.

In an embodiment of the present invention, there is also provided a method for simulating casting temperature and tissue properties of a rolled piece, the method comprising: acquiring initial casting and rolling related parameters of rolled pieces at different positions on a rolling line and initial tissue performance related parameters of the rolled pieces at different rolling mill positions; processing the initial casting-rolling related parameters and the initial tissue performance related parameters to obtain effective casting-rolling related parameters and effective tissue performance related parameters; inputting the effective casting and rolling related parameters and the effective water tank parameters into a pre-trained casting and rolling process evolution model for prediction, obtaining a first prediction result and displaying the first prediction result, wherein the first prediction result comprises temperature field distribution data and shape size data of rolled pieces at different positions on a rolling line, the effective water tank parameters are obtained based on the effective tissue performance related parameters, the casting and rolling process evolution model is obtained based on first training samples, and the first training samples comprise casting and rolling related parameter samples, water tank parameter samples, temperature field distribution actual data samples and shape size actual data samples; inputting the effective tissue performance related parameters and the effective steel grade parameters into a pre-trained rolling tissue performance model for prediction, obtaining a second prediction result and displaying the second prediction result, wherein the second prediction result comprises tissue performance data of rolled pieces at different rolling mill positions, the effective steel grade parameters are obtained based on the effective casting and rolling related parameters, the rolling tissue performance model is obtained based on second training samples, and the second training samples comprise tissue performance related parameter samples, steel grade parameter samples and tissue actual data samples.

In an embodiment of the present invention, there is also provided an electronic device including: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic equipment realizes the rolling casting temperature and tissue performance simulation method of the rolled piece.

In one embodiment of the present invention, there is also provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the rolling stock casting temperature and tissue performance simulation method as described above.

The invention has the beneficial effects that: the invention provides a rolling piece casting temperature and tissue performance simulation device, a method, equipment and a medium, wherein the rolling piece casting temperature and tissue performance simulation device screens initial casting and rolling related parameters and initial tissue performance related parameters to obtain effective casting and rolling related parameters and effective tissue performance related parameters by acquiring the initial casting and rolling related parameters and initial tissue performance related parameters, predicts temperature field distribution data and shape and size data of rolling pieces at different positions on a rolling line and tissue performance data of the rolling pieces at different rolling mill positions based on the effective casting and rolling related parameters and the effective tissue performance related parameters, and carries out corresponding display to guide on-site production.

Drawings

FIG. 1 is a schematic view of an exemplary embodiment of the present invention showing an environment for implementing a rolling temperature and tissue performance simulation apparatus for a rolled piece;

FIG. 2 is a block diagram of a rolling stock casting temperature and tissue performance simulation apparatus according to an exemplary embodiment of the present invention;

FIG. 3 is a block diagram of a rolling stock casting temperature simulation apparatus shown in another exemplary embodiment of the present invention;

FIG. 4 is a block diagram of a rolling stock tissue performance simulation apparatus according to another exemplary embodiment of the present invention;

FIG. 5 is a graph showing the global temperature evolution of a rolling line according to an embodiment of the present invention;

FIG. 6 is a graph of mechanical properties illustrating an embodiment of the present invention;

FIG. 7 is a graph showing recrystallization ratios according to an embodiment of the present invention;

FIG. 8 is a graph of yield strength illustrating an embodiment of the present invention;

FIG. 9 is a diagram of an organization chart illustrating an embodiment of the present invention.

Detailed Description

Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.

It should be noted that the illustrations provided in the following embodiments merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.

It should be noted that, in the present invention, "first", "second", and the like are merely distinguishing between similar objects, and are not limited to the order or precedence of similar objects. The description of variations such as "comprising," "having," etc., means that the subject of the word is not exclusive, except for the examples shown by the word.

It should be understood that the various numbers and steps described in this disclosure are for convenience of description and are not to be construed as limiting the scope of the invention. The magnitude of the present invention reference numerals does not mean the order of execution, and the order of execution of the processes should be determined by their functions and inherent logic.

In the following description, numerous details are set forth in order to provide a more thorough explanation of embodiments of the present invention, it will be apparent, however, to one skilled in the art that embodiments of the present invention may be practiced without these specific details, in other embodiments, well-known structures and devices are shown in block diagram form, rather than in detail, in order to avoid obscuring the embodiments of the present invention.

It should be noted that most of the existing casting temperature or organization performance simulation technologies of rolled pieces are developed by adopting a Client-Server architecture, and because of the lack of universality of the architecture, the universality and cross-platform performance of a casting temperature or organization performance simulation system of rolled pieces based on the Client-Server architecture are poor, the system maintenance and upgrading are required to be redesigned and developed, the difficulty of maintenance and management is increased, and the difficulty of further expanding data is also high. In addition, the existing casting temperature or tissue performance simulation system or method of the rolled piece is narrow in application range and is only suitable for being used by designers in the design stage of a production line.

To solve the above problems, embodiments of the present invention respectively provide a rolling temperature and tissue performance simulation apparatus, a rolling temperature and tissue performance simulation method, an electronic device, a computer-readable storage medium, and a computer program product, and these embodiments will be described in detail below.

Referring to fig. 1, fig. 1 is a schematic view of an embodiment environment of a rolling temperature and tissue performance simulation apparatus for rolling stock according to an exemplary embodiment of the present invention.

As shown in fig. 1, an implementation environment may include a sensing device 101 and a computer device 102. The computer device 102 may be at least one of a microcomputer, an embedded computer, a neural network computer, and the like. The computer device 102 may obtain the initial casting and rolling association parameters and initial tissue performance association parameters through the sensing device 101, or may manually input the initial casting and rolling association parameters and initial tissue performance association parameters into the computer device 102, which is not limited herein. The computer device 102 screens the obtained initial casting and rolling association parameters and initial organization performance association parameters to obtain effective casting and rolling association parameters and effective organization performance association parameters, predicts temperature field distribution data and shape size data of the rolled piece at different positions on a rolling line based on the effective casting and rolling association parameters and the effective organization performance association parameters, and organizes performance data of the rolled piece at different rolling mill positions and displays the data correspondingly.

The computer device 102 obtains initial casting and rolling association parameters of different positions of the rolled piece on the rolling line and initial organization performance association parameters of the rolled piece at different rolling mill positions, screens the initial casting and rolling association parameters and the initial organization performance association parameters to obtain effective casting and rolling association parameters and effective organization performance association parameters, inputs effective water tank parameters in the effective casting and rolling association parameters and the effective organization performance association parameters into a pre-trained casting and rolling process evolution model to predict, obtains temperature field distribution data and shape size data of the rolled piece at different positions of the rolling line, displays the temperature field distribution data and the shape size data, and inputs effective steel grade parameters in the effective organization performance association parameters and the effective casting and rolling association parameters into a pre-trained rolling organization performance model to predict, and obtains organization performance data of the rolled piece at different rolling mill positions and displays the organization performance data. Therefore, the device can predict temperature field distribution data and shape and size data of rolled pieces at different positions on a rolling line and tissue performance data of the rolled pieces at different rolling mill positions according to casting and rolling related parameters and tissue performance related parameters so as to guide on-site production, and the device has strong universality and cross-platform property and can meet the use requirements of different users only by one-time deployment.

It should be noted that the device for simulating casting temperature and tissue performance of a rolled piece according to the embodiment of the present invention is generally disposed in the computer device 102, and the method for simulating casting temperature and tissue performance of a rolled piece is generally executed by the computer device 102.

The device for simulating the casting temperature and the tissue performance of the rolled piece provided by the embodiment of the invention comprises the following components:

the system comprises a data acquisition module, a data processing module, a prediction module and a display module, wherein the prediction module comprises at least one of a first prediction sub-module and a second prediction sub-module; the data acquisition module is used for acquiring initial cast-rolling related parameters of rolled pieces at different positions on a rolling line and initial tissue performance related parameters of the rolled pieces at different rolling mill positions; the data processing module is used for carrying out data screening on the initial casting-rolling association parameters and the initial organization performance association parameters to obtain effective casting-rolling association parameters and effective organization performance association parameters; the first prediction submodule is used for inputting effective casting-rolling association parameters and effective water tank parameters into a pre-trained casting-rolling process evolution model to predict, so that a first prediction result is obtained, wherein the first prediction result comprises temperature field distribution data and shape size data of rolled pieces at different positions on a rolling line, the effective water tank parameters are obtained based on the effective tissue performance association parameters, the casting-rolling process evolution model is obtained based on first training samples, and the first training samples comprise casting-rolling association parameter samples, water tank parameter samples, temperature field distribution actual data samples and shape size actual data samples; the second prediction submodule is used for inputting the effective tissue performance related parameters and the effective steel grade parameters into a pre-trained rolling tissue performance model to predict, so as to obtain a second prediction result, wherein the second prediction result comprises tissue performance data of rolled pieces at different rolling mill positions, the effective steel grade parameters are obtained based on the effective casting and rolling related parameters, the rolling tissue performance model is obtained based on a second training sample, and the second training sample comprises a tissue performance related parameter sample, a steel grade parameter sample and a tissue performance actual data sample; the display module is used for displaying at least one of the first prediction result and the second prediction result.

In one embodiment of the present invention, various sensors may be disposed at different positions on the rolling line (rolling line), where the positions include positions of rolling mills, and other positions other than the positions of rolling mills, and the data acquisition module acquires, in real time, initial casting-rolling related parameters of the rolled piece at different positions on the rolling line and initial tissue performance related parameters of the rolled piece at different rolling mill positions through the various sensors, and may also manually input the initial casting-rolling related parameters and the initial tissue performance related parameters, which are not limited herein. The rolling stock in this embodiment is a wire rod rolling stock.

Illustratively, the initial casting and rolling associated parameters include an initial calculation grid and step size parameter, an initial steel grade parameter, an initial casting blank parameter, and an initial casting and rolling spacing parameter. Specifically, the initial calculation grid and step size parameters comprise the number of intercept grids, the number of axial grids and the air cooling calculation step size; the initial steel grade parameters comprise steel grade classification, steel grade grades and ambient temperature; the initial casting blank parameters comprise casting blank shape, casting blank size, casting blank surface center temperature, casting blank corner temperature, casting blank center temperature, casting blank chamfer angle, casting blank density and continuous casting drawing speed; the initial casting-rolling interval parameters comprise casting-rolling total length, conveying distance of each conveying section, conveying speed of each conveying section, correction coefficient of each conveying section, absolute position of a heat compensating section, heat compensating length, average speed of a roller way, temperature of a heat compensating outlet, water quantity or water pressure of a descaling box, heat exchange coefficient or heat exchange model of the descaling box, absolute position of the descaling box, length of the descaling box, average speed of the roller way of the descaling box, absolute position of a waiting temperature section and waiting time.

Exemplary initial tissue performance related parameters include initial heating parameters, initial process parameters, initial rolling table parameters, and initial water tank parameters. Specifically, the initial heating parameters comprise a heating system working condition, a casting blank temperature and each section of heating system; the initial technological parameters comprise steel type, steel grade, carbon equivalent, chemical composition mass fraction, casting blank size, rolling specification, negative deviation rate and rolling temperature of each rolling mill position; the initial rolling table parameters comprise the splitting number, splitting frame times, finishing rolling frame speed and the elongation of each frame; the initial water tank parameters comprise the temperature of the high-pressure turbid circulating water supply pipeline, the water quantity and the water pressure of each water tank.

Because the obtained initial casting and rolling association parameters and initial organization performance association parameters may have empty data, abnormal data and the like, the data processing module is required to perform data screening on the initial casting and rolling association parameters and the initial organization performance association parameters, including the processes of filtering the empty data, removing the abnormal data and the like, so that effective casting and rolling association parameters and effective organization performance association parameters are obtained, and the prediction accuracy is improved. Correspondingly, the effective casting and rolling related parameters comprise effective calculation grid and step parameters, effective steel grade parameters, effective casting blank parameters and effective casting and rolling interval parameters, and the effective organization performance related parameters comprise effective heating parameters, effective process parameters, effective rolling table parameters and effective water tank parameters.

The first prediction submodule inputs the effective casting-rolling related parameters and the effective water tank parameters into a pre-trained casting-rolling process evolution model to conduct prediction, and a first prediction result is obtained, namely temperature field distribution data and shape and size data of rolled pieces at different positions on a rolling line. The temperature field distribution data illustratively includes surface temperatures, core temperatures, and average temperatures of the rolled piece at different locations of the mill train.

The second prediction submodule inputs the effective tissue performance related parameters and the effective steel grade parameters into a pre-trained rolling tissue performance model to conduct prediction, and a second prediction result is obtained, namely tissue performance data of the rolled piece at different rolling mill positions. Illustratively, the organization performance data includes at least one of: rheological stress prediction data of each pass of rolled piece, recrystallization ratio prediction data of each pass of rolled piece, grain size prediction data of each pass of rolled piece, residual strain ratio prediction data of each pass of rolled piece, yield strength prediction data of a finished product, mechanical property parameter prediction data of the finished product and structure component proportion prediction data of the finished product.

The display module displays at least one of the first predicted result and the second predicted result.

The prediction module may include both the first prediction sub-module and the second prediction sub-module, or may include only any one of the first prediction sub-module and the second prediction sub-module.

Referring to fig. 2, fig. 2 is a block diagram illustrating a rolling temperature and tissue performance simulator for rolling stock according to an exemplary embodiment of the present invention. The apparatus may be applied in the implementation environment shown in fig. 1 and is specifically configured in the computer device 102. The apparatus may also be adapted to other exemplary implementation environments and may be specifically configured in other devices, and the present embodiment is not limited to the implementation environments to which the apparatus is adapted. As shown in fig. 2, the exemplary rolling temperature and tissue performance simulation device for rolling stock comprises a data acquisition module, a data processing module, a prediction module and a display module, wherein the prediction module comprises a first prediction sub-module and a second prediction sub-module. The specific functions of the data acquisition module, the data processing module, the first prediction sub-module and the second prediction sub-module are described in the above embodiments, and are not described in detail herein; the display module is used for displaying the first prediction result and the second prediction result.

Referring to fig. 3, fig. 3 is a block diagram illustrating a rolling casting temperature simulation apparatus for rolling stock according to another exemplary embodiment of the present invention. The apparatus may be applied in the implementation environment shown in fig. 1 and is specifically configured in the computer device 102. The apparatus may also be adapted to other exemplary implementation environments and may be specifically configured in other devices, and the present embodiment is not limited to the implementation environments to which the apparatus is adapted. As shown in fig. 3, the exemplary rolling casting temperature simulation device for the rolled piece comprises a data acquisition module, a data processing module, a prediction module and a display module, wherein the prediction module comprises a first prediction sub-module. The specific functions of the data acquisition module, the data processing module and the first prediction submodule are described in the above embodiments, and are not repeated here; the display module is used for displaying the first prediction result.

Referring now to fig. 4, fig. 4 is a block diagram illustrating a rolling stock tissue performance simulation apparatus according to another exemplary embodiment of the present invention. The apparatus may be applied in the implementation environment shown in fig. 1 and is specifically configured in the computer device 102. The apparatus may also be adapted to other exemplary implementation environments and may be specifically configured in other devices, and the present embodiment is not limited to the implementation environments to which the apparatus is adapted. As shown in fig. 4, the exemplary rolled piece tissue performance simulation device includes a data acquisition module, a data processing module, a prediction module, and a display module, where the prediction module includes a second prediction sub-module. The specific functions of the data acquisition module, the data processing module and the second prediction submodule are described in the above embodiments, and are not repeated here; the display module is used for displaying the second prediction result.

In one embodiment of the invention, the data acquisition module comprises at least one of a real-time data acquisition unit and a design parameter input unit, the initial casting-rolling association parameter comprises at least one of an initial casting-rolling real-time association parameter and an initial casting-rolling design association parameter, and the initial organization performance association parameter comprises at least one of an initial organization performance real-time association parameter and an initial organization performance design association parameter; the real-time data acquisition unit is used for acquiring initial casting and rolling real-time associated parameters and initial tissue performance real-time associated parameters; the design parameter input unit is used for collecting initial casting and rolling design related parameters and initial organization performance design related parameters.

In the embodiment, various sensors acquire initial casting and rolling real-time associated parameters and initial tissue performance real-time associated parameters in real time and send the parameters and the parameters to a real-time data acquisition unit; the data processing module respectively processes the initial casting and rolling real-time associated parameters and the initial organization performance real-time associated parameters to obtain effective casting and rolling real-time associated parameters and effective organization performance real-time associated parameters, and correspondingly, the effective casting and rolling real-time associated parameters comprise effective steel grade real-time parameters and the effective organization performance real-time associated parameters comprise effective water tank real-time parameters; the first prediction submodule inputs the effective casting and rolling real-time associated parameters and the effective water tank real-time parameters into a pre-trained casting and rolling process evolution model to predict, so as to obtain a first prediction result; the second prediction submodule inputs the real-time correlation parameters of the effective tissue performance and the real-time parameters of the effective steel grade into a pre-trained rolling tissue performance model for prediction to obtain a second prediction result; the display module displays at least one of the first predicted result and the second predicted result so as to guide the actual production process of the rolling line.

In addition, the technician manually inputs the initial casting and rolling design related parameters and the initial organization performance design related parameters to the design parameter input unit; the data processing module respectively processes the initial casting and rolling design association parameters and the initial organization performance design association parameters to obtain effective casting and rolling design association parameters and effective organization performance design association parameters, wherein the effective casting and rolling design association parameters comprise effective steel grade design parameters and the effective organization performance design association parameters comprise effective water tank design parameters correspondingly; the first prediction submodule inputs the effective casting and rolling design related parameters and the effective water tank design parameters into a pre-trained casting and rolling process evolution model to predict, so as to obtain a first prediction result; the second prediction submodule inputs the effective tissue performance design related parameters and the effective steel grade design parameters into a pre-trained rolling tissue performance model for prediction to obtain a second prediction result; the display module displays at least one of the first predicted result and the second predicted result to guide the rolling line design process.

It should be appreciated that in the present embodiment, the effective casting and rolling associated parameters include at least one of an effective casting and rolling real-time associated parameter and an effective casting and rolling design associated parameter, and the effective tissue performance associated parameters include at least one of an effective tissue performance real-time associated parameter and an effective tissue performance design associated parameter.

Because the production flow and the working procedures of the rolling production line are more and more complex, the casting and rolling process evolution model can be one or more, a plurality of casting and rolling process evolution models respectively correspond to different casting and rolling flow or casting and rolling working procedures, and the temperature field distribution data and shape and size data of rolled pieces at different positions on the rolling line can be accurately obtained by inputting effective casting and rolling related parameters and effective water tank parameters into the corresponding casting and rolling process evolution model for prediction.

Therefore, the rolling piece casting temperature and tissue performance simulation device provided by the embodiment of the invention is suitable for being used by designers in the stage of rolling line design and also suitable for being used by production staff in the stage of actual rolling line production.

In one embodiment of the invention, the data processing module comprises at least one of a first data processing sub-module and a second data processing sub-module; the first data processing sub-module is used for carrying out data screening on the initial casting and rolling real-time associated parameters and the initial organization performance real-time associated parameters to obtain effective casting and rolling real-time associated parameters and effective organization performance real-time associated parameters; and the second data processing sub-module is used for carrying out data screening and data integration on the initial casting and rolling design association parameters and the initial organization performance design association parameters to obtain effective casting and rolling design association parameters and effective organization performance design association parameters.

In this embodiment, the real-time data acquisition unit may acquire, at one time, specific parameters of the initial casting and rolling real-time associated parameters and the initial tissue performance real-time associated parameters (abbreviated as initial real-time parameters) at different positions, where specific parameters of the initial casting and rolling design associated parameters and the initial tissue performance design associated parameters (abbreviated as initial design parameters) at different positions are manually input into the design parameter input unit one by one, so that the processing procedures of the data processing module on the initial real-time parameters and the initial design parameters are not the same. The first data processing sub-module respectively performs data screening on the initial casting and rolling real-time associated parameters and the initial organization performance real-time associated parameters, and comprises the processes of filtering empty data, removing abnormal data and the like; the second data processing sub-module performs data screening on the initial casting and rolling design related parameters and the initial organization performance design related parameters respectively, and data integration is also required to be performed on the initial casting and rolling design related parameters and the initial organization performance design related parameters respectively. The initial real-time parameters and the initial design parameters are processed separately and independently, so that different processing requirements are met, and the data processing efficiency can be improved.

In one embodiment of the invention, the data processing module comprises a first data processing sub-module and a second data processing sub-module; the first data processing sub-module is also used for sending the effective casting and rolling real-time associated parameters and the effective organization performance real-time associated parameters to the message queue; the second data processing sub-module is further configured to receive the effective casting and rolling real-time correlation parameter and the effective organization performance real-time correlation parameter from the message queue, and send the effective casting and rolling correlation parameter and the effective organization performance correlation parameter to at least one of the first prediction sub-module and the second prediction sub-module.

In this embodiment, when the data processing module includes both the first data processing sub-module and the second data processing sub-module, in order to ensure that the rolling temperature and the organization performance simulation device of the rolled piece are predicted in order, the first data processing sub-module may send data as a producer of the message queue, that is, the valid rolling real-time associated parameter and the valid organization performance real-time associated parameter obtained by processing are sent to the message queue, and the second data processing sub-module receives data as a consumer of the message queue, that is, receives the valid rolling real-time associated parameter and the valid organization performance real-time associated parameter in the message queue, and sequentially sends the valid rolling associated parameter (valid rolling real-time associated parameter, valid rolling design associated parameter) and the valid organization performance associated parameter (valid organization performance real-time associated parameter, valid organization performance design associated parameter) to at least one of the first prediction sub-module and the second prediction sub-module.

In addition, the second data processing sub-module may store the effective casting and rolling associated parameters and the effective organization performance associated parameters in a database.

In one embodiment of the invention, the display module includes a rendering unit and a display unit, the rendering unit including at least one of a first rendering subunit and a second rendering subunit; the first rendering subunit is used for rendering the first prediction result to obtain a first prediction result rendering diagram, and the first prediction result rendering diagram comprises at least one of a rolling line whole-course temperature evolution diagram and a rolled piece shape and size change diagram; the second rendering subunit is used for rendering the second prediction result to obtain a second prediction result rendering diagram, and the second prediction result rendering diagram comprises at least one of a mechanical property diagram, a variable diagram of each pass parameter, a yield strength diagram and a tissue proportion diagram; the display unit is used for displaying at least one of the first prediction result rendering diagram and the second prediction result rendering diagram.

In this embodiment, in order to facilitate the designer or producer to intuitively, clearly, simply and clearly understand the predicted temperature field distribution data and shape size data, and tissue performance data, the temperature field distribution data and shape size data, and tissue performance data may be rendered. Accordingly, a rendering unit and a display unit are respectively configured in the display module, wherein the rendering unit includes at least one of a first rendering subunit and a second rendering subunit. The first rendering subunit renders the temperature field distribution data and the shape size data to obtain a first prediction result rendering diagram, wherein the first prediction result rendering diagram comprises at least one of a rolling line whole-course temperature evolution diagram and a rolling piece shape size change diagram; the second rendering subunit renders the tissue performance data to obtain a second prediction result rendering diagram, wherein the second prediction result rendering diagram comprises at least one of a mechanical performance diagram, a variable diagram of each pass parameter, a yield strength diagram and a tissue proportion diagram. Specifically, each parameter change graph of each pass comprises at least one of a rheological stress graph of each pass of rolled piece, a recrystallization ratio graph of each pass of rolled piece, a grain size graph of each pass of rolled piece, a residual strain ratio graph of each pass of rolled piece and the like. The specific form of the rendering map is not limited to a table, a bar graph, a pie chart, a line graph, an area graph, a curved surface graph, and the like.

Specifically, the first rendering subunit renders the temperature field distribution prediction data of the rolled piece at different positions on the rolling line to obtain a whole-course temperature evolution diagram of the rolling line, and renders the shape and size data of the rolled piece at different positions on the rolling line to obtain a shape and size change diagram of the rolled piece; the second rendering subunit renders the mechanical property parameter prediction data of the finished product in the tissue property data to obtain a mechanical property diagram, renders the rheological stress prediction data of each pass of rolled piece in the tissue property data to obtain a rheological stress diagram of each pass of rolled piece, renders the recrystallization ratio prediction data of each pass of rolled piece in the tissue property data to obtain a recrystallization ratio diagram of each pass of rolled piece, renders the grain size prediction data of each pass of rolled piece in the tissue property data to obtain a grain size diagram of each pass of rolled piece, renders the residual strain ratio prediction data of each pass of rolled piece in the tissue property data to obtain a residual strain ratio diagram of each pass of rolled piece, renders the yield strength prediction data of the finished product in the tissue property data to obtain a yield strength diagram, and renders the product tissue composition ratio prediction data of the tissue property data to obtain a tissue ratio diagram.

The display unit displays at least one of the first prediction result rendering map and the second prediction result rendering map. The display unit may further include a first display subunit for displaying the first prediction result rendering map and a second display subunit for simultaneously displaying the first prediction result rendering map and the second prediction result rendering map.

Referring to fig. 5, fig. 5 is a graph showing the temperature evolution of the rolling line in the whole course of the rolling line according to an embodiment of the present invention. As shown in fig. 5, the rolling line whole-course temperature evolution graph shows the changes of the surface temperature, the core temperature and the average temperature of the rolled piece at different positions of the rolling line, wherein the rolling line distances represent the different positions of the rolling line, and the rolling line whole-course temperature evolution graph is obtained by rendering the temperature field distribution prediction data of the rolled piece at the different positions of the rolling line by the first rendering subunit, wherein the temperature field distribution prediction data comprises the surface temperature, the core temperature and the average temperature of the rolled piece at the different positions of the rolling line.

Referring to fig. 6, fig. 6 is a mechanical property diagram of an embodiment of the present invention. As shown in fig. 6, the mechanical performance diagram shows a mechanical performance calculation result, a phase change calculation result, and each phase change temperature calculation result, where the mechanical performance diagram is obtained by rendering the prediction data of the mechanical performance parameters of the finished product in the organization performance data by the second rendering subunit.

Referring to fig. 7, fig. 7 is a diagram showing a recrystallization ratio according to an embodiment of the present invention. As shown in fig. 7, the recrystallization rate map shows the residual strain rate prediction data of each pass of rolled material, and the recrystallization rate map is obtained by rendering each pass of rolled material recrystallization rate prediction data in the tissue performance data by the second rendering subunit.

Referring to fig. 8, fig. 8 is a graph of yield strength illustrating an embodiment of the present invention. As shown in fig. 8, the yield strength plot shows predicted data for fine grain strengthening, phase transformation strengthening, solid solution strengthening, matrix strength, dislocation strengthening, and precipitation strengthening of the rolled piece, the yield strength plot being rendered by the second rendering subunit from the final yield strength predicted data in the tissue property data.

Referring to fig. 9, fig. 9 is a diagram illustrating an organization ratio according to an embodiment of the present invention. As shown in fig. 9, the structure proportion graph shows predicted data of ferrite volume fraction, pearlite volume fraction, bainite volume fraction, and martensite volume fraction of the rolled piece, and the structure proportion graph is obtained by rendering the final structure component proportion predicted data in the structure performance data by the second rendering subunit.

In one embodiment of the invention, the apparatus further comprises a first training module that obtains a casting process evolution model by:

collecting casting and rolling association parameter samples, water tank parameter samples, temperature field distribution actual data samples and shape and size actual data samples; inputting a casting-rolling association parameter sample and a water tank parameter sample into a first initial neural network model for prediction to obtain temperature field distribution prediction data and shape and size prediction data of rolled pieces at different positions on a rolling line; and training the first initial neural network model according to the temperature field distribution prediction data, the shape size prediction data, the temperature field distribution actual data sample and the shape size actual data sample to obtain a casting and rolling process evolution model.

The casting-rolling association parameter samples comprise a plurality of sets of casting-rolling association parameters, the water tank parameter samples comprise a plurality of sets of water tank parameters, the temperature field distribution actual data samples comprise a plurality of sets of temperature field distribution actual data, the shape dimension actual data samples comprise a plurality of sets of shape dimension actual data, the casting-rolling association parameters, the water tank parameters, the temperature field distribution actual data and the shape dimension actual data have corresponding relations, and the first initial neural network model is subjected to iterative training or reinforcement learning by comparing the temperature field distribution prediction data with the temperature field distribution actual data and comparing the shape dimension prediction data with the shape dimension actual data, so that a casting-rolling process evolution model is obtained.

In one embodiment of the invention, the device further comprises a second training module, wherein the second training module obtains a rolling tissue performance model through the following steps:

collecting a tissue performance related parameter sample, a steel grade parameter sample and a tissue performance actual data sample; inputting the tissue performance related parameter sample and the steel grade parameter sample into a second initial neural network model for prediction to obtain tissue performance prediction data of rolled pieces at different rolling mill positions; and training the second initial neural network model according to the tissue performance prediction data and the tissue performance actual data sample to obtain a rolling tissue performance model.

In this embodiment, the tissue performance related parameter sample, the steel grade parameter sample and the tissue performance actual data sample, the tissue performance related parameter sample includes a plurality of groups of tissue performance related parameters, the steel grade parameter sample includes a plurality of groups of steel grade parameters, the tissue performance actual data sample includes a plurality of groups of tissue performance actual data, and each group of tissue performance related parameters, each group of steel grade parameters and each group of tissue performance actual data have a corresponding relation.

The embodiment also provides a method for simulating the casting temperature and the tissue performance of the rolled piece, which comprises the following steps:

acquiring initial casting and rolling related parameters of rolled pieces at different positions on a rolling line and initial tissue performance related parameters of the rolled pieces at different rolling mill positions; processing the initial casting-rolling association parameter and the initial tissue performance association parameter to obtain an effective casting-rolling association parameter and an effective tissue performance association parameter; inputting effective casting and rolling related parameters and effective water tank parameters into a pre-trained casting and rolling process evolution model for prediction, obtaining a first prediction result and displaying the first prediction result, wherein the first prediction result comprises temperature field distribution data and shape size data of rolled pieces at different positions on a rolling line, the effective water tank parameters are obtained based on the effective tissue performance related parameters, the casting and rolling process evolution model is trained based on a first training sample, and the first training sample comprises a casting and rolling related parameter sample, a water tank parameter sample, a temperature field distribution actual data sample and a shape size actual data sample; the method comprises the steps of inputting effective tissue performance related parameters and effective steel grade parameters into a pre-trained rolling tissue performance model for prediction, obtaining and displaying a second prediction result, wherein the second prediction result comprises tissue performance data of rolled pieces at different rolling mill positions, the effective steel grade parameters are obtained based on the effective casting and rolling related parameters, the rolling tissue performance model is obtained based on second training samples, and the second training samples comprise tissue performance related parameter samples, steel grade parameter samples and tissue performance actual data samples.

It should be noted that, the method for simulating the casting temperature and the tissue performance of the rolled piece provided by the foregoing embodiment and the device for simulating the casting temperature and the tissue performance of the rolled piece provided by the foregoing embodiment belong to the same concept, wherein the implementation process of each step has been described in detail in the device embodiment, and will not be described herein.

The embodiment also provides an electronic device, including: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic equipment realizes the rolling temperature and tissue performance simulation method of the rolled piece provided in each embodiment.

The present embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the rolling stock casting temperature and tissue performance simulation method as described above. The computer-readable storage medium may be included in the electronic device described in the above embodiment or may exist alone without being incorporated in the electronic device.

The present embodiments also provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer apparatus reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer apparatus performs the rolling casting temperature and tissue performance simulation method provided in the above embodiments.

The electronic device provided in this embodiment includes a processor, a memory, a transceiver, and a communication interface, where the memory and the communication interface are connected to the processor and the transceiver and perform communication therebetween, the memory is used to store a computer program, the communication interface is used to perform communication, and the processor and the transceiver are used to run the computer program, so that the electronic device performs each step of the above method.

In this embodiment, the memory may include a random access memory (Random Access Memory, abbreviated as RAM), and may further include a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.

The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

The computer readable storage medium in this embodiment, as will be appreciated by those of ordinary skill in the art: all or part of the steps for implementing the method embodiments described above may be performed by computer program related hardware. The aforementioned computer program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media capable of storing program codes, such as ROM (read only memory), RAM (random access memory), magnetic disk or optical disk.

The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. It is therefore intended that all equivalent modifications and changes made by those skilled in the art without departing from the spirit and technical spirit of the present invention shall be covered by the appended claims.

Claims (10)

1. The device is characterized by comprising a data acquisition module, a data processing module, a prediction module and a display module, wherein the prediction module comprises at least one of a first prediction sub-module and a second prediction sub-module;

The data acquisition module is used for acquiring initial casting and rolling related parameters of rolled pieces at different positions on a rolling line and initial organization performance related parameters of the rolled pieces at different rolling mill positions;

the data processing module is used for carrying out data screening on the initial casting-rolling association parameter and the initial organization performance association parameter to obtain an effective casting-rolling association parameter and an effective organization performance association parameter;

the first prediction submodule is used for inputting the effective casting-rolling related parameters and the effective water tank parameters into a pre-trained casting-rolling process evolution model to predict, so that a first prediction result is obtained, wherein the first prediction result comprises temperature field distribution data and shape size data of rolling pieces at different positions on a rolling line, the effective water tank parameters are obtained based on the effective tissue performance related parameters, the casting-rolling process evolution model is obtained based on first training samples, and the first training samples comprise casting-rolling related parameter samples, water tank parameter samples, temperature field distribution actual data samples and shape size actual data samples;

the second prediction submodule is used for inputting the effective tissue performance related parameters and the effective steel grade parameters into a pre-trained rolling tissue performance model to predict, so as to obtain a second prediction result, wherein the second prediction result comprises tissue performance data of rolled pieces at different rolling mill positions, the effective steel grade parameters are obtained based on the effective casting and rolling related parameters, the rolling tissue performance model is obtained based on second training samples, and the second training samples comprise tissue performance related parameter samples, steel grade parameter samples and tissue performance actual data samples;

The display module is used for displaying at least one of the first prediction result and the second prediction result.

2. The rolling stock casting temperature and tissue performance simulation device according to claim 1, wherein the data acquisition module comprises at least one of a real-time data acquisition unit and a design parameter input unit, the initial casting and rolling correlation parameter comprises at least one of an initial casting and rolling real-time correlation parameter and an initial casting and rolling design correlation parameter, and the initial tissue performance correlation parameter comprises at least one of an initial tissue performance real-time correlation parameter and an initial tissue performance design correlation parameter;

the real-time data acquisition unit is used for acquiring the initial casting and rolling real-time associated parameters and the initial tissue performance real-time associated parameters;

the design parameter input unit is used for collecting the initial casting and rolling design related parameters and the initial organization performance design related parameters.

3. The rolling stock casting temperature and tissue performance simulation apparatus of claim 2, wherein the data processing module comprises at least one of a first data processing sub-module and a second data processing sub-module;

the first data processing sub-module is used for carrying out data screening on the initial casting and rolling real-time associated parameters and the initial organization performance real-time associated parameters to obtain effective casting and rolling real-time associated parameters and effective organization performance real-time associated parameters;

And the second data processing sub-module is used for carrying out data screening and data integration on the initial casting and rolling design association parameters and the initial organization performance design association parameters to obtain effective casting and rolling design association parameters and effective organization performance design association parameters.

4. A product casting temperature and tissue performance simulation apparatus according to claim 3, wherein the data processing module comprises the first data processing sub-module and the second data processing sub-module;

the first data processing sub-module is further configured to send the effective casting and rolling real-time associated parameter and the effective organization performance real-time associated parameter to a message queue;

the second data processing sub-module is further configured to receive the effective casting and rolling real-time associated parameter and the effective organization performance real-time associated parameter from the message queue, and send the effective casting and rolling associated parameter and the effective organization performance associated parameter to at least one of the first prediction sub-module and the second prediction sub-module.

5. The rolled piece casting temperature and tissue performance simulation device according to any one of claims 1 to 4, wherein the display module comprises a rendering unit and a display unit, the rendering unit comprising at least one of a first rendering subunit and a second rendering subunit;

The first rendering subunit is used for rendering the first prediction result to obtain a first prediction result rendering diagram, and the first prediction result rendering diagram comprises at least one of a rolling line whole-course temperature evolution diagram and a rolled piece shape and size change diagram;

the second rendering subunit is used for rendering the second prediction result to obtain a second prediction result rendering diagram, and the second prediction result rendering diagram comprises at least one of a mechanical property diagram, a variable diagram of each pass parameter, a yield strength diagram and a tissue proportion diagram;

the display unit is used for displaying at least one of the first prediction result rendering diagram and the second prediction result rendering diagram.

6. The rolling stock casting temperature and tissue performance simulation apparatus of claim 5, further comprising a first training module that derives the casting process evolution model by a training process comprising:

collecting the casting-rolling association parameter sample, the water tank parameter sample, the temperature field distribution actual data sample and the shape and size actual data sample;

inputting the casting-rolling association parameter sample and the water tank parameter sample into a first initial neural network model for prediction to obtain temperature field distribution prediction data and shape and size prediction data of rolled pieces at different positions on a rolling line;

And training the first initial neural network model according to the temperature field distribution prediction data, the shape size prediction data, the temperature field distribution actual data sample and the shape size actual data sample to obtain the casting and rolling process evolution model.

7. The rolling stock casting temperature and tissue performance simulation apparatus of claim 5, further comprising a second training module that obtains the rolling tissue performance model by:

collecting the tissue performance related parameter sample, the steel grade parameter sample and the tissue performance actual data sample;

inputting the tissue performance related parameter sample and the steel grade parameter sample into a second initial neural network model for prediction to obtain tissue performance prediction data of rolled pieces at different rolling mill positions;

and training the second initial neural network model according to the tissue performance prediction data and the tissue performance actual data sample to obtain the rolling tissue performance model.

8. A method for simulating casting temperature and tissue performance of a rolled piece, the method comprising:

Acquiring initial casting and rolling related parameters of rolled pieces at different positions on a rolling line and initial tissue performance related parameters of the rolled pieces at different rolling mill positions;

processing the initial casting-rolling related parameters and the initial tissue performance related parameters to obtain effective casting-rolling related parameters and effective tissue performance related parameters;

inputting the effective casting and rolling related parameters and the effective water tank parameters into a pre-trained casting and rolling process evolution model for prediction, obtaining a first prediction result and displaying the first prediction result, wherein the first prediction result comprises temperature field distribution data and shape size data of rolled pieces at different positions on a rolling line, the effective water tank parameters are obtained based on the effective tissue performance related parameters, the casting and rolling process evolution model is obtained based on first training samples, and the first training samples comprise casting and rolling related parameter samples, water tank parameter samples, temperature field distribution actual data samples and shape size actual data samples;

inputting the effective tissue performance related parameters and the effective steel grade parameters into a pre-trained rolling tissue performance model for prediction, obtaining a second prediction result and displaying the second prediction result, wherein the second prediction result comprises tissue performance data of rolled pieces at different rolling mill positions, the effective steel grade parameters are obtained based on the effective casting and rolling related parameters, the rolling tissue performance model is obtained based on second training samples, and the second training samples comprise tissue performance related parameter samples, steel grade parameter samples and tissue actual data samples.

9. An electronic device, the electronic device comprising:

one or more processors;

storage means for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the product casting temperature and tissue performance simulation method of claim 8.

10. A computer readable storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the method of simulating the casting temperature and the tissue properties of a rolled piece according to claim 8.

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