Electric arc furnace electrode adjusting system dynamic current curve automatic optimization control method and system

Abstract

The invention discloses an electric arc furnace electrode adjusting system dynamic current curve automatic optimization control method and system, and belongs to the technical field of metallurgical equipment automatic control. According to the method, closing of a vacuum switch after feeding is taken as a timing starting point, electric arc furnace smelting power-on duration data are collected, at least three smelting stages including a well penetrating stage, a transition stage and a dissolving and cleaning stage are divided based on a preset time threshold value, and corresponding binary combination control signals are generated through logical operation; and the cross-system data transmission channel is used for transmitting to an electrode adjusting system control unit, and the electrode adjusting system control unit is used for switching an adaptive current curve through bit-level data operation. A traditional mode is broken through, automatic and accurate switching of the current curve along with the smelting stage is achieved, the operation process is simplified, manual intervention is reduced, reliable support is provided for dynamic and accurate control of the electric arc furnace, and the method is suitable for electric arc furnace equipment in the metallurgical industry.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology for metallurgical equipment, and in particular to an automatic optimization control method and system for the dynamic current curve of an electric arc furnace electrode adjustment system. Background Technology

[0002] As a core smelting equipment in the metallurgical production field, the electric arc furnace's electrode adjustment system's current control accuracy directly relates to the stability of the smelting process, production efficiency, and resource consumption level, making it a key technological link for steel enterprises to achieve high-quality production. During the electric arc furnace smelting process, different technological stages are involved, each with significantly different requirements for electrode output current: In the initial charging stage, the furnace charge is distributed in lumps, requiring the electrode to be inserted into the charge to establish an electric arc; a lower current is needed to avoid arc instability or overcurrent problems caused by the unmelted charge; in the transition stage from the charging stage to the melting stage, the charge gradually melts, requiring a medium current to maintain a stable smelting rhythm; and in the melting stage after the steel has completely melted, a larger current is needed to rapidly increase the steel temperature to meet the requirements of subsequent refining processes.

[0003] To adapt to the current requirements of the different stages mentioned above, the traditional electric arc furnace electrode adjustment system adopts a control mode that combines fixed current curves and manual selection. Typically, three fixed current curves are preset, corresponding to the well penetration stage, the transition stage, and the melting and clearing stage, respectively. Among them, curve 1 is the maximum current curve, which adapts to the temperature rise requirements of the melting and clearing stage; curve 2 is a relatively large current curve, which adapts to the smelting requirements of the transition stage; and curve 3 is the minimum current curve, which adapts to the arc establishment requirements of the well penetration stage.

[0004] However, existing technologies have many prominent problems in practical industrial applications, which seriously restrict the production efficiency and energy utilization efficiency of electric arc furnaces: First, the manual selection mode suffers from operational inertia and judgment bias. In actual production, in order to simplify the operation process, furnace operators often use curve 2 for the entire smelting process for a long time without adjusting the current curve according to the switching of smelting stages, resulting in a mismatch between the fixed curve and the dynamic smelting requirements. Second, the adaptability during the well penetration stage (0-10 minutes of power-on) is insufficient. The current output of curve 2 is too large. Under the condition that the furnace charge is not completely melted and the conductivity is poor, it is easy to cause overcurrent faults, forcing the electrodes to lift frequently to avoid faults, which seriously disrupts the smelting rhythm and increases electrode wear. Third, during the melting and clearing stage (powered for more than 30 minutes), the energy supply is insufficient. The maximum output current of curve 2 cannot meet the demand for rapid heating of molten steel, resulting in a longer heating time, an increased overall smelting cycle, and high power consumption per ton of steel, leading to serious energy waste. Fourth, the control mode lacks dynamic adaptability. Traditional fixed current curves cannot respond to dynamic changes in operating parameters such as furnace charge status and arc stability during the smelting process. They rely solely on time experience or manual judgment to switch curves, resulting in low control precision. This makes it difficult to achieve precise and efficient control of the smelting process, becoming a key bottleneck for steel companies to reduce costs, increase efficiency, and achieve green and low-carbon development.

[0005] Therefore, there is an urgent need for an electric arc furnace electrode adjustment system current curve optimization scheme that can achieve dynamic adaptation of current curves, precise cross-system data interaction, and efficient switching control based on the smelting process, so as to break through the limitations of the traditional mode and meet the dynamic and precise control requirements of the electric arc furnace smelting process. Summary of the Invention

[0006] Therefore, this invention aims to solve the problem that traditional fixed current curves cannot adapt to the dynamic requirements of smelting, and thus provides an automatic optimization control method and system for the dynamic current curve of an electric arc furnace electrode adjustment system. The method includes the following steps: S1: Obtain the energization time data during the electric arc furnace smelting process, wherein the energization time is taken from the start of timing when the vacuum switch is closed after feeding. S2: Based on a preset time threshold, perform logical judgment on the power-on duration data to divide it into at least three consecutive smelting stage data; S3: Based on the current curve requirements corresponding to each smelting stage, generate control signal data in binary combination form through logical operations; S4: Establish a data transmission channel to transmit the control signal data from the main control unit to the electrode adjustment system control unit in real time; S5: After receiving the control signal data, the electrode adjustment system control unit calls up the corresponding current curve parameter data and outputs it through bit-level data operation.

[0007] In one embodiment of the present invention, the method for dividing the energizing duration data into at least three consecutive smelting stages based on a preset time threshold using logical judgment is as follows: The preset time threshold includes a first threshold and a second threshold. The first threshold is less than the second threshold. By comparing the power-on duration data with the two thresholds, the following data are obtained: well-drilling period data where the power-on duration data is less than the first threshold, transition stage data between the first threshold and the second threshold, and dissolution period data where the power-on duration data is greater than the second threshold.

[0008] In one embodiment of the present invention, the method for generating control signal data in binary combination form based on the corresponding current curve control signals generated at each smelting stage and through logical operations is as follows: A first binary combination signal is generated for the well-drilling period, corresponding to the minimum current curve; a second binary combination signal is generated for the transition stage, corresponding to the medium current curve; and a third binary combination signal is generated for the dissolution stage, corresponding to the maximum current curve. The first binary combination signal, the second binary combination signal, and the third binary combination signal are all different from each other.

[0009] In one embodiment of the present invention, the data transmission channel is constructed by a script program, which pre-establishes a mapping relationship between the stage data output address of the main control unit and the signal receiving address of the electrode adjustment system control unit.

[0010] In one embodiment of the present invention, the script program is written based on a visual development tool and can read the stage-related data output by the main control unit in real time and write it into the preset storage address of the electrode adjustment system control unit.

[0011] In one embodiment of the present invention, the bit-level data operation only adjusts the parameter data corresponding to the current curve control bit, without changing other parameter data blocks in the electrode adjustment system control unit.

[0012] In one embodiment of the present invention, the bit-level data operation adopts BCD bit operation instructions, and the switching of current curve parameter data is realized by setting or resetting the control bit data.

[0013] In one embodiment of the present invention, the main body control unit is a PLC controller, the electrode adjustment system control unit is a PLC controller, and the cross-system data transmission is real-time data interaction between the two PLC controllers.

[0014] Based on the same inventive concept, this invention also provides an automatic optimization control system for the dynamic current curve of an electric arc furnace electrode adjustment system, comprising: a data acquisition unit, a stage division unit, a signal generation unit, a data transmission unit, and a curve switching unit; wherein... The acquisition unit is used to acquire data on the energization time during the electric arc furnace smelting process. The energization time is taken from the start of timing when the vacuum switch is closed after feeding. The stage division unit is used to make logical judgments on the power-on duration data based on a preset time threshold, and divide the data into at least three consecutive smelting stages. The signal generation unit is used to generate control signal data in binary combination form through logical operations based on the current curve requirements corresponding to the data of each smelting stage; The data transmission unit is used to establish a data transmission channel and transmit the control signal data from the main control unit to the electrode adjustment system control unit in real time. The curve switching unit is used by the electrode adjustment system control unit to receive the control signal data, and then, through bit-level data operations, call up the corresponding current curve parameter data and output it.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the automatic optimization control method for the dynamic current curve of the electric arc furnace electrode adjustment system.

[0016] Compared with the prior art, the above-described technical solution of the present invention has the following advantages: This invention takes the smelting energization time as the core variable. Through the collaborative design of cross-PLC real-time data association, segmented logic control of smelting stages, and precise operation at the bit level, it breaks through the limitations of the traditional fixed current curve and manual selection mode. It realizes the automatic and precise switching of the current curve with the smelting stage, which not only avoids the delay and error of cross-system data interaction, but also ensures the efficiency and stability of current parameter adjustment. At the same time, it simplifies the operation process and reduces the dependence on manual intervention, providing reliable support for the dynamic and precise control of the electric arc furnace smelting process. Attached Figure Description

[0017] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings.

[0018] Figure 1 This is a flowchart illustrating an automatic optimization control method for the dynamic current curve of an electric arc furnace electrode adjustment system provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of an automatic optimization control system for the dynamic current curve of an electric arc furnace electrode adjustment system provided in an embodiment of the present invention.

[0019] Explanation of reference numerals in the accompanying drawings: 100, acquisition unit; 200, stage division unit; 300, signal generation unit; 400, data transmission unit; 500, curve switching unit. Detailed Implementation

[0020] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, so that those skilled in the art can better understand and implement the present invention. However, the embodiments described are not intended to limit the present invention.

[0021] Example 1: Reference Figure 1 As shown, the present invention provides an automatic optimization control method for the dynamic current curve of an electric arc furnace electrode adjustment system, the method comprising the following steps: S1: Obtain the energization time data during the electric arc furnace smelting process, wherein the energization time is taken from the start of timing when the vacuum switch is closed after feeding. S2: Based on a preset time threshold, perform logical judgment on the power-on duration data to divide it into at least three consecutive smelting stage data; S3: Based on the current curve requirements corresponding to each smelting stage, control signal data in binary combination form is generated through logical operations; S4: Establish a data transmission channel to transmit the control signal data from the main control unit to the electrode adjustment system control unit in real time; S5: After receiving the control signal data, the electrode adjustment system control unit calls up the corresponding current curve parameter data and outputs it through bit-level data operation.

[0022] Further, in step S1, after the electric arc furnace completes the feeding operation, the operator triggers the vacuum switch closing command. At this time, the signal acquisition module synchronously starts timing and continuously collects power-on duration data at a preset acquisition frequency (10Hz in this embodiment, with a uniform acquisition period of 100ms). The acquisition module adds a timestamp to each acquired duration data (in seconds) and uploads it in real time to the preset storage address (such as data blocks DB8.DBX0.0~DB8.DBX0.7) of the main control unit via the Profibus-DP bus. The main control unit verifies the received data and removes abnormal data (such as jump data caused by communication interference) to ensure data accuracy.

[0023] Furthermore, in step S2, the method for logically judging the energization duration data based on a preset time threshold to divide it into at least three consecutive smelting stage data is as follows: The preset time threshold includes a first threshold and a second threshold. The first threshold is less than the second threshold. By comparing the power-on duration data with the two thresholds, the following data are obtained: well-drilling period data where the power-on duration data is less than the first threshold, transition stage data between the first threshold and the second threshold, and dissolution period data where the power-on duration data is greater than the second threshold.

[0024] Specifically, the main control unit has built-in preset time threshold parameters, with the first threshold set to 10 minutes (600 seconds) and the second threshold set to 30 minutes (1800 seconds). The main control unit uses a built-in logic operation program to compare the continuously received power-on duration data with the two thresholds, thereby dynamically dividing the smelting stage. When the power-on duration is less than 600 seconds, it is determined to be the well-penetration period, a well-penetration period data identifier is generated, and it is stored in the stage identifier address of the main control unit (DB8.DBX50.2=1). When the power-on time is between 600 seconds and 1800 seconds, it is determined to be a transition phase, and a transition phase data identifier (DB8.DBX50.3=1) is generated. When the power-on duration data is greater than 1800 seconds, it is determined to be the dissolution period, and a dissolution period data identifier (DB8.DBX50.4=1) is generated.

[0025] During the phase division process, the main control unit updates the phase identification data in real time to ensure a seamless transition between smelting phases.

[0026] Furthermore, in step S3, the method for generating control signal data in binary combination form based on the corresponding current curve control signals generated at each smelting stage through logical operations is as follows: A first binary combination signal is generated for the well-drilling period, corresponding to the minimum current curve; a second binary combination signal is generated for the transition stage, corresponding to the medium current curve; and a third binary combination signal is generated for the dissolution stage, corresponding to the maximum current curve. The first binary combination signal, the second binary combination signal, and the third binary combination signal are all different from each other.

[0027] Specifically, the main control unit generates corresponding binary combination control signal data based on the divided smelting stage data and preset logical operation rules. In this embodiment, the preset logical operation rules are stored in the user program block (OB100) of the main control unit, and each smelting stage corresponds to a unique binary combination signal: The minimum current curve corresponding to the well drilling period is used to output the first binary combination signal (DB8.DBX50.0=1, DB8.DBX50.1=1, i.e. binary combination "11"). The transition phase corresponds to the medium current curve, and outputs the second binary combination signal (DB8.DBX50.0=0, DB8.DBX50.1=1, i.e. binary combination "01"). The maximum current curve corresponding to the dissolution period outputs the third binary combination signal (DB8.DBX50.0=1, DB8.DBX50.1=0, i.e. binary combination "10").

[0028] After the control signal is generated, it is stored in the signal output address (DB8.DBX51.0~DB8.DBX51.1) of the main control unit, waiting for data transmission instructions.

[0029] Furthermore, in step S4 of the embodiment, the data transmission channel is constructed using a script program written based on the INTOUCH visual development tool. The script program is stored in the host computer system of the main control unit, and its core function is to establish the address mapping relationship between the main control unit and the electrode adjustment system control unit. The script reads binary combination control signal data from the main unit control unit signal output address (DB8.DBX51.0~DB8.DBX51.1) in real time with a period of 100ms; According to the preset address mapping table, the read control signal data is written to the signal receiving address (DB8.DBX6.4~DB8.DBX6.5) of the electrode adjustment system control unit. During data transmission, the script program has a built-in verification mechanism that compares the sent data with the received feedback data to ensure that the data transmission is without loss or error. If any data inconsistency occurs, a retransmission command is immediately triggered.

[0030] Furthermore, in step S5, after receiving the control signal data, the electrode adjustment system control unit starts the bit-level data operation program and uses BCD bit operation instructions (such as the SET and RST instructions in the LADDER language) to precisely adjust the current curve control bits. The specific operation is as follows: When the received control signal is "11" (drilling period), the electrode adjustment system control unit executes the instruction to set DB8.DBX6.4 and DB8.DBX6.5 to 1, calls up the minimum current curve parameter data stored in the system (such as current upper limit 12KA, adjustment step size 0.1KA, etc.) and outputs it. At this time, only the current curve control bit data is adjusted, and other parameter data blocks in the electrode adjustment system (such as arc stability adjustment parameters, electrode lifting speed parameters, etc.) are not changed. When the received control signal is "01" (transition stage), the execution instruction sets DB8.DBX6.4 to 0 and DB8.DBX6.5 to 1, retrieves medium current curve parameter data (current upper limit 16KA, adjustment step size 0.1KA, etc.) and outputs it; When the received control signal is "10" (dissolution period), the execution instruction sets DB8.DBX6.4 to 1 and DB8.DBX6.5 to 0, retrieves the maximum current curve parameter data (current upper limit 20KA, adjustment step size 0.1KA, etc.) and outputs it.

[0031] The response time of the current curve switching process is ≤50ms, ensuring the continuity and stability of the smelting process.

[0032] Furthermore, the main control unit is a PLC controller, the electrode adjustment system control unit is a PLC controller, and the cross-system data transmission is real-time data interaction between the two PLC controllers.

[0033] To verify the practical application effectiveness of the automatic optimization control method and system for dynamic current curves of the electric arc furnace electrode adjustment system described in this invention, a six-month production verification test was conducted on an electric arc furnace smelting production line with a capacity of 1 million tons / year in a steel enterprise. The test adopted the principle of "same equipment, same raw materials, and same process parameters." For the first three months, a traditional fixed current curve + manual selection control mode was used as the control group. For the last three months, the control method and system described in this invention were used as the experimental group. Through real-time monitoring and statistical analysis of key production indicators, the following verification results were obtained: (1) Energy consumption optimization effect The experimental group achieved a significant reduction in electricity consumption per ton of steel compared to the control group: the control group's electricity consumption per ton of steel under the all-scrap steel smelting condition was 388.44 kWh / ton, while the experimental group, after applying this invention, saw its electricity consumption per ton of steel drop to 385.291 kWh / ton, a decrease of 0.83%. Based on the company's annual steel production scale of 1 million tons, this translates to annual electricity savings of 3.23 million kWh. Calculated according to the average industrial electricity price standard, this generates approximately 1.615 million yuan in direct economic benefits annually, effectively reducing the energy costs of steel production.

[0034] (2) Improvement in production stability

[0035] In terms of the stability of the smelting process, the experimental group showed a significant improvement over the control group: due to insufficient adaptation of the current curve during the feeding and well penetration period, the control group experienced an average of 12 overcurrent faults per month, and the number of times the electrode was raised due to overcurrent protection during each furnace smelting process reached 5 times, which seriously affected the continuity of smelting; through precise adaptation of the dynamic current curve, the experimental group reduced the number of overcurrent faults during the feeding period to 2 per month, and the number of times the electrode was raised per furnace to 2. The incidence of overcurrent faults and the frequency of ineffective electrode actions were significantly reduced, ensuring the smooth progress of the smelting rhythm, while reducing electrode wear and equipment maintenance costs.

[0036] (3) Effect of capacity improvement The smelting cycle of the experimental group was effectively optimized, especially the heating efficiency during the melting and clearing stage was significantly improved: the average heating time of molten steel during the melting and clearing stage in the control group was 46 minutes, while the heating time in the experimental group, after applying this invention, was shortened to 42 minutes by accurately matching the maximum current curve during the melting and clearing stage, and the total smelting time per furnace was reduced by 4 minutes. Based on the reduction in the smelting cycle per furnace and the annual operating time of the production line, the capacity increase reached 9.5%, with an annual increase in capacity of approximately 60,000 tons. Calculated at an average output value of 55 yuan per ton of steel, the annual increase in output value is approximately 3.3 million yuan, significantly improving the production efficiency and market competitiveness of the production line.

[0037] (4) Green and environmental protection benefits Based on the indirect environmental benefits of reduced energy consumption, the experimental group saved 3.23 million kWh of electricity annually. Using an emission coefficient of 0.84 kg CO2 per kWh, this translates to a reduction of approximately 271.32 tons of carbon dioxide emissions annually. This result demonstrates that the present invention achieves efficient energy utilization through optimized current curve control, providing practical technical support for steel enterprises to implement green and low-carbon production concepts and advance the "dual-carbon" target, thus possessing significant ecological and environmental value.

[0038] In summary, this invention, through a dynamic and precise current curve control scheme, has achieved significant results in core dimensions such as energy consumption control, production stability, capacity improvement, and green environmental protection. It verifies the practicality, reliability, and advancement of the technical solution, and fully meets the actual needs of steel enterprises for cost reduction, efficiency improvement, and green development.

[0039] Example 2: Based on the same inventive concept as Embodiment 1, the present invention also provides an automatic optimization control system for the dynamic current curve of an electric arc furnace electrode adjustment system, such as... Figure 2 As shown, the system includes: a data acquisition unit 100, a stage division unit 200, a signal generation unit 300, a data transmission unit 400, and a curve switching unit 500; wherein, The acquisition unit 100 is used to acquire the energization time data during the electric arc furnace smelting process, and the energization time is taken as the starting point of the timing when the vacuum switch is closed after feeding. The stage division unit 200 is used to perform logical judgment on the power-on duration data based on a preset time threshold, and divide it into at least three consecutive smelting stage data. The signal generation unit 300 is used to generate control signal data in binary combination form through logical operations based on the current curve requirements corresponding to the data of each smelting stage. The data transmission unit 400 is used to establish a data transmission channel and transmit the control signal data from the main control unit to the electrode adjustment system control unit in real time. The curve switching unit 500 is used by the electrode adjustment system control unit to receive the control signal data, and then, through bit-level data operation, call up the corresponding current curve parameter data and output it.

[0040] This embodiment proposes an automatic optimization control system for the dynamic current curve of an electric arc furnace electrode adjustment system, which is used to implement the aforementioned automatic optimization control method for the dynamic current curve of an electric arc furnace electrode adjustment system. Therefore, the specific implementation of the automatic optimization control system for the dynamic current curve of an electric arc furnace electrode adjustment system can be found in the embodiment section of the aforementioned automatic optimization control method for the dynamic current curve of an electric arc furnace electrode adjustment system. For example, the acquisition unit 100, the stage division unit 200, the signal generation unit 300, the data transmission unit 400, and the curve switching unit 500 are respectively used to implement steps S1, S2, S3, S4, and S5 in the automatic optimization control method for the dynamic current curve of an electric arc furnace electrode adjustment system described in Embodiment 1. Therefore, its specific implementation can be referred to the description of the corresponding embodiments. To avoid redundancy, it will not be repeated here.

[0041] Example 3: The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the automatic optimization control method for the dynamic current curve of the electric arc furnace electrode adjustment system described in Embodiment 1.

[0042] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0043] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0044] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0045] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0046] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for dynamic current profile automatic optimization control of an arc furnace electrode regulation system, characterized in that, The method comprises the following steps: S1: obtaining the power-on duration data in the electric arc furnace smelting process, wherein the power-on duration is counted from the closing of the vacuum switch after feeding; S2: logically judging the power-on duration data based on a preset time threshold to obtain at least three continuous smelting stage data; S3: generating control signal data in the form of binary combination through logical operation according to the current curve requirements of each smelting stage data; S4: establishing a data transmission channel to transmit the control signal data from the body control unit to the electrode regulation system control unit in real time; S5: after the electrode regulation system control unit receives the control signal data, the corresponding current curve parameter data is called and output through bit-level data operation.

2. The method of dynamic current profile automatic optimization control of an arc furnace electrode regulation system according to claim 1, characterized in that: The method of logically judging the power-on duration data based on a preset time threshold to obtain at least three continuous smelting stage data is as follows: The preset time threshold includes a first threshold and a second threshold, the first threshold is smaller than the second threshold, and the comparison operation of the power-on duration data with the two thresholds obtains: well drilling period data smaller than the first threshold, transition stage data between the first threshold and the second threshold, and solution cleaning period data greater than the second threshold.

3. The method of dynamic current profile automatic optimization control of an arc furnace electrode regulation system according to claim 1, characterized in that: The method of generating corresponding current curve control signals based on each smelting stage and generating control signal data in the form of binary combination through logical operation is as follows: The first binary combination signal corresponding to the minimum current curve is generated for the well drilling period, the second binary combination signal corresponding to the medium current curve is generated for the transition stage, and the third binary combination signal corresponding to the maximum current curve is generated for the solution cleaning period, and the first, second and third binary combination signals are different from each other.

4. The method of dynamic current profile automatic optimization control of an arc furnace electrode regulation system according to claim 1, characterized in that: The data transmission channel is constructed by a script program, and the script program pre-establishes the mapping relationship between the stage data output address of the body control unit and the signal receiving address of the electrode regulation system control unit.

5. The method of dynamic current profile automatic optimization control of an arc furnace electrode regulation system according to claim 4, characterized in that: The script program is written based on a visual development tool, can read the stage associated data output by the body control unit in real time, and write it into the preset storage address of the electrode regulation system control unit.

6. The method of dynamic current profile automatic optimization control of arc furnace electrode regulation system according to claim 1, characterized in that: The bit-level data operation only adjusts the parameter data corresponding to the current curve control bit, without changing other parameter data blocks in the electrode regulation system control unit.

7. The method of dynamic current profile automatic optimization control of an arc furnace electrode regulation system according to claim 6, characterized in that: The bit-level data operation adopts BCD bit operation instructions to realize the switching of current curve parameter data through setting or resetting operation of control bit data.

8. The method of dynamic current profile automatic optimization control of arc furnace electrode regulation system according to claim 1, characterized in that: The body control unit is a PLC controller, the electrode regulation system control unit is a PLC controller, and the cross-system data transmission is real-time data interaction between two PLC controllers.

9. An automatic optimization control system for dynamic current profile of an arc furnace electrode regulation system, characterized by, The method comprises the following modules: An acquisition unit is configured to obtain the power-on duration data in the electric arc furnace smelting process, wherein the power-on duration is counted from the closing of the vacuum switch after feeding; A stage division unit is configured to logically judge the power-on duration data based on a preset time threshold to obtain at least three continuous smelting stage data; The signal generating unit is used for generating control signal data in binary combination form through logical operation according to the current curve requirement corresponding to each smelting stage data; The data transmission unit is used for establishing a data transmission channel and transmitting the control signal data from the body control unit to the electrode regulation system control unit in real time; The curve switching unit is used for calling corresponding current curve parameter data and outputting through bit-level data operation after the electrode regulation system control unit receives the control signal data. 10.A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the arc furnace electrode regulation system dynamic current curve automatic optimization control method according to any one of claims 1-8.

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