Industrial production process static control method, terminal equipment, medium and system

Abstract

The present invention relates to a static control method for an industrial production process, a terminal device, a medium, and a system. The method comprises: constructing and storing different meta-operation units according to different process operations in the industrial production process; selecting a production control process composed of multiple meta-operation units, and configuring the execution sequence and static control parameters of each step in the production control process; constructing an end-state prediction model according to the production control process; receiving state information of incoming industrial production raw materials, calculating dynamic control parameters, and predicting the end-state of the industrial production raw materials after executing the production control process using the end-state prediction model; when the end-state does not meet the requirements, adjusting the dynamic control parameters in the production control process until the end-state meets the requirements and proceeding to the next step; and sending the production process to the industrial production control device. The present invention can achieve standardization of industrial production processes, replacing existing manual or semi-automatic operation methods.

Description

Technical Field

[0001] The present invention relates to the field of industrial production, and in particular to an industrial production process static control method, terminal equipment, medium and system. Background Art

[0002] RH vacuum refining uses primary furnace molten steel or LF refined molten steel as raw material, and achieves the purpose of vacuum decarburization, degassing, deoxidation, and adjustment of molten steel temperature and chemical composition through vacuum pumping, oxygen blowing decarburization, alloying, wire feeding and other process operations.

[0003] Currently, the refining process often relies on the operator's experience, and some control parameters are manually calculated and then set; some manufacturers only have partial process mathematical models, such as alloy calculation models or decarburization models, and are unable to control the various process subsystems to automatically complete related operations.

[0004] In order to meet the needs of intelligent production processes, process mathematical models combined with information technologies such as big data can better guide or control production, reduce various types of consumption, improve molten steel quality, and reduce labor intensity.

[0005] Therefore, based on production experience, process models, optimization control, etc., a complete refining optimization control technology is constructed, which can adapt to the production control requirements of different processes and different steel grades, and fully automatically control the production operations of each process subsystem in a static and dynamic manner. Summary of the Invention

[0006] In order to solve the above problems, the present invention proposes an industrial production process static control method, terminal equipment, medium and system.

[0007] The specific plan is as follows:

[0008] A static control method for an industrial production process comprises the following steps:

[0009] S1: Construct different meta-operation units according to different process operations in the industrial production process, and store all meta-operation units in the meta-operation library;

[0010] S2: Based on the different types of industrial products, a production control process consisting of multiple meta-operation units that meet the industrial production operation process of the corresponding type of industrial products is selected from the meta-operation library, and the execution sequence and static control parameters of each step in the production control process are configured;

[0011] S3: Build an endpoint state prediction model according to the production control process;

[0012] S4: Receive the status information of the incoming industrial production raw materials, calculate the dynamic control parameters based on the status information of the industrial production raw materials, predict the terminal state of the industrial production raw materials after the production control process is executed using the terminal state prediction model, and determine whether the terminal state meets the requirements. If so, proceed to S5; otherwise, adjust the dynamic control parameters in the production control process and re-predict the terminal state using the terminal state prediction model until the terminal state meets the requirements and proceed to S5;

[0013] S5: Send the production control process to the industrial production control equipment so that it can execute industrial production according to the step sequence corresponding to the production control process and the configured execution timing, static control parameters and dynamic control parameters of each step.

[0014] Furthermore, the attributes of the meta-operation unit include an identification of whether dynamic control is performed, a control target, and a dynamic control input.

[0015] Furthermore, the industrial production control process is molten steel smelting, and the industrial production raw material is molten steel.

[0016] Furthermore, types of state prediction models include temperature prediction models and composition prediction models.

[0017] Furthermore, the state information of the molten steel includes: initial composition, initial temperature, initial oxygen, initial weight, target composition and target temperature of the molten steel.

[0018] Furthermore, the condition for executing the next step in the industrial production of step S5 is: when the static control parameters and dynamic control parameters are met during the execution of the previous step, and the execution duration of the step meets the execution timing corresponding to the previous step, proceed to the next step.

[0019] An industrial production process static control terminal device includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, steps S1-S4 of the method described in an embodiment of the present invention are implemented.

[0020] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements steps S1-S4 of the method described in an embodiment of the present invention.

[0021] A static control system for an industrial production process is characterized in that it includes the terminal device and industrial production control device described in an embodiment of the present invention, and the terminal device and the industrial production control device are communicatively connected. The terminal device sends the production control process to the industrial production control device, so that it executes industrial production according to the step sequence corresponding to the production control process and the configured execution timing, static control parameters and dynamic control parameters of each step.

[0022] The present invention adopts the above technical solution, which can adapt to the production control requirements of different types of industrial production raw materials in different processes and adjust the dynamic parameters in the industrial production process to meet the needs of industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Shown is a flow chart of embodiment 1 of the present invention.

[0024] Figure 2 Shown is a schematic diagram of the configuration interface of the meta-operation unit in this embodiment.

[0025] Figure 3 Shown is a schematic diagram of the production control process configuration interface in this embodiment.

[0026] Figure 4 Shown is a schematic diagram of the display interface for the execution sequence, static control parameters and dynamic control parameters in the production control process in this embodiment. DETAILED DESCRIPTION

[0027] To further illustrate various embodiments, the present invention provides accompanying drawings. These drawings form part of the present disclosure and are primarily used to illustrate the embodiments and, in conjunction with the relevant description in the specification, to explain the operating principles of the embodiments. By referring to these drawings, those skilled in the art will be able to understand other possible implementations and the advantages of the present invention.

[0028] The present invention will now be further described with reference to the accompanying drawings and specific embodiments.

[0029] Example 1:

[0030] The embodiment of the present invention provides a static control method for industrial production process, such as Figure 1 As shown, the method includes the following steps:

[0031] S1: Construct different meta-operation units according to different process operations in the industrial production process, and store all meta-operation units in the meta-operation library.

[0032] In the construction of the meta-operation unit, it is necessary to configure the various attributes of the meta-operation unit. The attributes include two types: basic attributes and control attributes. The basic attributes are used to identify the situation of the meta-operation unit. In this embodiment, they include: name, execution code, etc. The control attributes are used to identify the process purpose and control object corresponding to the meta-operation unit. In this embodiment, they include the identification of whether dynamic control is performed, the control target and the dynamic control input.

[0033] In this embodiment, the industrial production process is described by taking the molten steel smelting process as an example. In other embodiments, the industrial production process may also be a production process of other types of industrial production raw materials, which is not limited here.

[0034] like Figure 2 The figure shows a schematic diagram of the configuration interface of the meta-operation unit in this embodiment. For example, the OPERATION_TYPE field stores an indication of whether dynamic control is to be performed, 1 indicates a dynamic control step, and 0 indicates a non-dynamic control step; the OPERATION_ADJUST_ELEMENT field stores a control target, AL indicates that the control target of composition-controlled aluminum is aluminum, and MN indicates that the control target of composition-controlled manganese is manganese; the OPERATION_CONTROL_INPUT field stores a dynamic control input, O indicates that the input of composition-controlled aluminum is fixed oxygen, and L indicates that the input of composition-controlled manganese is a steel liquid inspection component.

[0035] S2: According to the different types of industrial production products, a production control process consisting of multiple meta-operation units that meet the industrial production operation process of the corresponding type of industrial production products is selected from the meta-operation library, and the execution timing and static control parameters of each step in the production control process are configured.

[0036] like Figure 3 As shown, the left side is the meta-operation library. Select meta-operation units from the meta-operation library and add them to the right side. After setting the sequence between different meta-operation units, the production control process corresponding to the molten steel smelting process is obtained. Each step in the production control process corresponds to a meta-operation unit.

[0037] After configuring the production control process, you need to make the execution of each step consistent with the execution sequence and execution environment in the actual production process. Therefore, you also need to configure the execution sequence and static control parameters of each step in the production control process. Figure 4 As shown, the execution sequence in this embodiment is the duration of each step; the static control parameters are fixed and unchangeable parameters in the production process, which are only related to the type of steel, such as side blowing flow rate, bottom blowing flow rate, vacuum pump level, etc.

[0038] S3: Build an endpoint state prediction model according to the production control process.

[0039] Since whether the molten steel finally obtained from the production control process of the molten steel smelting process meets the requirements needs to be judged from two aspects, one is temperature and the other is composition, therefore, the types of state prediction models in this embodiment include two types, namely temperature prediction model and composition prediction model.

[0040] The prediction result of the endpoint prediction model is the final state (final temperature and final composition) obtained after executing the production control process based on the input parameters.

[0041] S4: Receive the status information of the incoming industrial production raw materials, calculate the dynamic control parameters based on the status information of the industrial production raw materials, predict the terminal state of the industrial production raw materials after the production control process is executed through the terminal state prediction model, and judge whether the terminal state meets the requirements. If so, enter S5; otherwise, adjust the dynamic control parameters in the production control process, and re-predict the terminal state through the terminal state prediction model until the terminal state meets the requirements and enter S5.

[0042] In this embodiment, when the industrial production raw material is molten steel, the corresponding state information includes: the initial composition, initial temperature, initial oxygen, initial weight, target composition and target temperature of the molten steel. When the molten steel enters the station, its state information can be extracted.

[0043] The dynamic control parameters are parameters that need to be adjusted according to the situation during the production process. For example, the dynamic control parameter of the composition-controlled aluminum step is the input aluminum content (AL), and the dynamic control parameter of the composition-controlled manganese step is the input manganese content (8-medium carbon ferromanganese, indicating medium carbon ferromanganese input from feed port No. 8). They are calculated based on the status information of industrial production raw materials.

[0044] The endpoint prediction model is based on the status information of industrial production raw materials. The endpoint state of industrial products is predicted by the endpoint state prediction model. Different status information will result in different endpoint states. If the status information is the same but the dynamic control parameters in the production control process are different, different endpoint states will also be obtained.

[0045] S5: Send the production control process to the industrial production control equipment so that it can execute industrial production according to the step sequence corresponding to the production control process and the configured execution timing, static control parameters and dynamic control parameters of each step.

[0046] It should be noted that the dynamic control parameters in the production control process currently issued are the dynamic control parameters finally determined in step S4, that is, through the finally determined dynamic control parameters, the end state obtained by the end state prediction meets the requirements.

[0047] In this embodiment, the conditions for executing the next step in the production control process in industrial production are set as follows: when the static control parameters and dynamic control parameters are met during the execution of the previous step, and the step execution duration meets the execution timing corresponding to the previous step, proceed to the next step.

[0048] The embodiments of the present invention can realize the standardization of industrial production control processes, replacing existing manual or semi-automatic operation modes, so that the industrial production process is carried out according to the configured production control process, which can reduce labor quotas, improve production efficiency, and automatically adjust the dynamic control parameters in the production control process according to the different status information of the raw materials arriving at the station, so that the final industrial products meet the expected requirements.

[0049] Example 2:

[0050] The present invention also provides an industrial production process static control terminal device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, steps S1-S4 of the above-mentioned method embodiment of embodiment 1 of the present invention are implemented.

[0051] Furthermore, as an executable solution, the industrial production process static control terminal device can be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The industrial production process static control terminal device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that the composition structure of the above-mentioned industrial production process static control terminal device is merely an example of an industrial production process static control terminal device and does not constitute a limitation on the industrial production process static control terminal device. It may include more or fewer components than the above-mentioned components, or a combination of certain components, or different components. For example, the industrial production process static control terminal device may also include input and output devices, network access devices, buses, etc., which are not limited in the embodiments of the present invention.

[0052] Furthermore, as an executable solution, the processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the industrial production process static control terminal device, and utilizes various interfaces and lines to connect various parts of the entire industrial production process static control terminal device.

[0053] The memory can be used to store the computer program and / or module, and the processor realizes the various functions of the industrial production process static control terminal device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required for a function; the data storage area can store data created based on the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0054] Example 3:

[0055] The present invention further provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, steps S1 to S4 of the above method in the embodiment of the present invention are implemented.

[0056] If the module / unit integrated in the industrial production process static control terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory) and software distribution medium, etc.

[0057] Example 4:

[0058] The present invention also provides a static control system for an industrial production process, comprising the terminal device and the industrial production control device described in the second embodiment of the present invention. The terminal device and the industrial production control device are communicatively connected, and the terminal device sends the production process to the industrial production control device, so that the device executes industrial production according to the step sequence corresponding to the production process and the configured execution timing, static control parameters and dynamic control parameters of each step.

[0059] Although the present invention has been particularly shown and described in conjunction with preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made to the present invention without departing from the spirit and scope of the invention as defined in the appended claims, and all such changes are within the scope of protection of the present invention.

Claims

1. A static control method for industrial production process, characterized in that: The following steps are involved: S1: Construct different meta-operation units according to different process operations in the industrial production process, and store all meta-operation units in the meta-operation library; the attributes of the meta-operation units include whether to perform dynamic control, control targets, and dynamic control inputs; S2: Based on the different types of industrial products, a production control process consisting of multiple meta-operation units that meet the industrial production operation process of the corresponding type of industrial products is selected from the meta-operation library, and the execution sequence and static control parameters of each step in the production control process are configured; S3: Build an endpoint state prediction model according to the production control process; S4: Receive the status information of the incoming industrial production raw materials, calculate the dynamic control parameters based on the status information of the industrial production raw materials, predict the terminal state of the industrial production raw materials after the production control process is executed using the terminal state prediction model, and determine whether the terminal state meets the requirements. If so, proceed to S5; otherwise, adjust the dynamic control parameters in the production control process and re-predict the terminal state using the terminal state prediction model until the terminal state meets the requirements and proceed to S5; S5: Send the production control process to the industrial production control equipment so that it can execute industrial production according to the step sequence corresponding to the production control process and the configured execution timing, static control parameters and dynamic control parameters of each step.

2. The method for static control of industrial production processes according to claim 1, characterized in that: The industrial production control process is molten steel smelting, and the industrial production raw material is molten steel.

3. The method for static control of industrial production processes according to claim 2, characterized in that: Types of state prediction models include temperature prediction models and composition prediction models.

4. The method for static control of industrial production processes according to claim 2, characterized in that: The state information of the molten steel includes: initial composition, initial temperature, initial oxygen, initial weight, target composition and target temperature of the molten steel.

5. The method for static control of industrial production processes according to claim 1, characterized in that: The condition for executing the next step in the industrial production of step S5 is: when the static control parameters and dynamic control parameters are met during the execution of the previous step, and the execution duration of the step meets the execution timing corresponding to the previous step, proceed to the next step.

6. A static control terminal device for industrial production processes, characterized by: The method comprises a processor, a memory, and a computer program stored in the memory and running on the processor, wherein the processor implements steps S1-S4 of the method according to any one of claims 1 to 5 when executing the computer program.

7. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, steps S1 to S4 of the method according to any one of claims 1 to 5 are implemented.

8. A static control system for an industrial production process, characterized by: It includes the terminal device and industrial production control device as described in claim 6, and the terminal device and the industrial production control device are communicatively connected. The terminal device sends the production control process to the industrial production control device, so that it executes industrial production according to the step sequence corresponding to the production control process and the configured execution timing, static control parameters and dynamic control parameters of each step.

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