Submerged arc furnace automatic control method and device, storage medium and program product

Abstract

The invention discloses a self-adaptive cooperative control method and equipment for an electrode of a submerged arc furnace, and aims to solve the problem that dynamic furnace conditions cannot be adapted due to the adoption of a static control target. According to the method, based on historical current and power data, the upper limit and the lower limit of a current power ratio are determined through statistical processing, and a dynamic current target interval changing along with working conditions is generated by combining real-time power. And the electrode lifting device is controlled to adjust the position of the electrode by comparing the real-time current with the dynamic interval. Furthermore, according to the method, cooperative judgment of three-phase electrode resistance is introduced before the electrode rises and falls, so that the adjustment accuracy is improved; an electrode voltage release strategy based on a fixed period or accumulated power consumption is included so as to compensate electrode consumption and adapt to different working conditions; and meanwhile, closed-loop adjustment is performed on the power of the transformer, so that double-closed-loop cooperative control of the electrode position and total power input is realized. The self-adaptive capacity and the operation stability of submerged arc furnace electrode control are improved.

Description

Technical Field

[0001] This application relates to the field of automated control technology for submerged arc furnaces, and in particular to an automatic control method, equipment, storage medium, and program product for submerged arc furnaces. Background Technology

[0002] Electrode position control in submerged arc furnaces is crucial for production efficiency and energy consumption. Its automatic control methods evolved from early constant current control. However, constant current control is not well-suited to changes in smelting power. Therefore, a control method based on electrical parameter ratios (such as electrode impedance) has been adopted. This method adjusts the electrodes by maintaining the real-time calculated ratio within a preset, universal target range, making it more adaptable to power fluctuations compared to constant current control.

[0003] However, the actual operation of an electric arc furnace is a complex process with a long cycle and continuously changing operating conditions. As the materials inside the furnace melt and chemical reactions proceed, their overall physical and chemical states and electrical conductivity also continuously and dynamically evolve. This dynamic nature of the operating conditions means that the "ideal electrical parameter ratio" that enables the electric furnace to maintain its most efficient and stable operation at different times is not a constant value; it itself changes with the evolution of operating conditions. The fixed and universal target ratio range adopted by related technologies is essentially a static control strategy. It cannot actively adapt to the dynamic evolution of the operating conditions mentioned above. Therefore, there is a continuous deviation between this static control target and the dynamic ideal target. Summary of the Invention

[0004] This application provides an automatic control method, equipment, storage medium, and program product for electric arc furnaces, which solves the problem that static control targets cannot adapt to dynamic furnace conditions.

[0005] In a first aspect, this application provides an adaptive collaborative control method for electrodes of a submerged arc furnace, applied to submerged arc furnace equipment. The method includes: acquiring historical current data and historical power data within a preset time period, and calculating multiple historical current-power ratios based on the historical current data and historical power data; performing statistical processing on the multiple historical current-power ratios, removing the maximum and minimum portions of preset percentages, and determining the maximum value as the upper limit ratio and the minimum value as the lower limit ratio among the remaining historical current-power ratios; acquiring the real-time power of the submerged arc furnace, multiplying the upper limit ratio and the lower limit ratio by the real-time power respectively, and calculating the upper limit value and the lower limit value, wherein the upper limit value and the lower limit value are the boundary values ​​of the dynamic current target range under the current operating condition; acquiring the real-time current of the submerged arc furnace, comparing the real-time current with the dynamic current target range in real time, and when the real-time current exceeds the dynamic current target range, controlling the electrode lifting device to adjust the electrode position so that the real-time current returns to the dynamic current target range.

[0006] The above embodiment calculates and statistically analyzes the current-to-power ratio from historical operating data within a preset time period, and determines the upper and lower limit ratios after removing extreme values. This technique allows the baseline parameters of the control model to originate from the recent actual operating conditions of the submerged arc furnace itself, rather than a preset theoretical value, thus initially improving the fundamental deviation caused by the control target's inability to adapt to the long-term dynamic evolution of operating conditions. Furthermore, this set of upper and lower limit ratios obtained based on historical data is multiplied by the real-time acquired submerged arc furnace power to calculate a dynamic current target range that fluctuates with the real-time power. This transforms the control target from a fixed ratio range into an absolute current range directly related to the current work capacity, allowing the basis for issuing control commands (i.e., the current target range) to be adjusted in real-time to follow the instantaneous changes in furnace conditions. Finally, by comparing the real-time current with this dynamically adaptive target range, the electrode raising and lowering are controlled, enabling the electrode adjustment behavior to more accurately match the continuous evolution of the physical and chemical states of the submerged arc furnace. Compared to the continuous deviation between static control strategies and dynamic ideal targets in related technologies, this improves the following and accuracy of electrode control, helping to maintain stable furnace operation.

[0007] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes the step of controlling the electrode lifting device to adjust the electrode position. The step of controlling the electrode lifting device to adjust the electrode position is as follows: when the real-time current is greater than the upper limit value, the target electrode resistance of the target phase electrode and the electrode resistances of the other two phase electrodes are obtained, where the target phase electrode is the electrode of the phase where the real-time current exceeds the target range of the dynamic current; the target electrode resistance is compared with the electrode resistances of the other two phase electrodes, and when the target electrode resistance is less than or equal to either of the electrode resistances of the other two phase electrodes, the electrode lifting device is controlled to perform an upward movement.

[0008] The above embodiments optimize the specific adjustment actions of the electrodes by introducing a collaborative judgment mechanism based on multi-phase electrical parameters. Specifically, when the target phase current exceeds the upper limit of the dynamic range, the electrode lifting action is not executed unconditionally. Instead, a pre-judgment step is added, comparing the resistance of the target phase electrode with the resistances of the other two phase electrodes. The lifting action is only executed when the resistance of the target phase is less than or equal to the resistance of any other phase. This technique adds a verification logic to the control command to confirm that the high current is indeed caused by the conventional reason of low resistance of the phase electrode (such as electrode insertion being too deep). This judgment logic based on the correlation of multi-phase parameters avoids the system making incorrect adjustment responses under some complex or abnormal operating conditions (such as current fluctuations caused by abnormalities in other phases), reduces the possibility of single-phase adjustment actions interfering with other phases, and thus improves the overall stability of the three-phase system operation.

[0009] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes the step of controlling the electrode lifting device to adjust the electrode position. The step of controlling the electrode lifting device to adjust the electrode position is as follows: when the real-time current is less than the lower limit value, the target electrode resistance of the target phase electrode and the electrode resistances of the other two phase electrodes are obtained; the target electrode resistance is compared with the electrode resistances of the other two phase electrodes; when the target electrode resistance is greater than or equal to any one of the electrode resistances of the other two phase electrodes, the electrode lifting device is controlled to perform a lowering action.

[0010] The above embodiments, for cases where the real-time current is less than the lower limit, establish a pre-judgment condition based on multi-phase parameter comparison. Before executing the electrode lowering action, the system first confirms whether the electrode resistance of the target phase is greater than or equal to that of any of the other two phases. This provides symmetrical verification logic for electrode adjustment behavior under low current conditions, aiming to confirm that the low current condition is indeed related to the relatively high resistance of that phase (such as the electrode being too far from the molten pool). By constructing this bidirectional, symmetrical, collaborative judgment mechanism, the above embodiments improve the closed-loop logic of electrode control.

[0011] In conjunction with some embodiments of the first aspect, in some embodiments, after acquiring the real-time current of the submerged arc furnace, comparing the real-time current with the dynamic current target range in real time, and controlling the electrode lifting device to adjust the electrode position so that the real-time current returns to the dynamic current target range when the real-time current exceeds the dynamic current target range, the method further includes an electrode pressing and releasing adjustment step: calculating the current pressing and releasing time interval based on the previous pressing and releasing time and the current system time; comparing the current pressing and releasing time interval with the preset pressing and releasing cycle; and performing the electrode pressing and releasing operation if the current pressing and releasing time interval is greater than or equal to the pressing and releasing cycle.

[0012] The above embodiment introduces an electrode pressing and releasing step based on a preset cycle to address the impact of long-term physical wear and tear on the control system. By performing the pressing and releasing operation at regular intervals, the system can actively compensate for the shortened electrodes due to wear and tear, thus providing sufficient vertical adjustment stroke for the lifting device responsible for real-time current regulation. This design effectively combines "lifting control" for dealing with short-term fluctuations with "pressing and releasing control" for compensating for long-term wear and tear, improving the system's long-term autonomous operation capability, reducing the risk of control failure due to exhaustion of the lifting stroke or equipment damage caused by the gripper being too low, and enhancing the overall automation level and operational safety.

[0013] In conjunction with some embodiments of the first aspect, in some embodiments, after acquiring the real-time current of the submerged arc furnace, comparing the real-time current with a dynamic current target range in real time, and controlling the electrode lifting device to adjust the electrode position so that the real-time current returns to the dynamic current target range when the real-time current exceeds the dynamic current target range, the method further includes an electrode pressing and releasing adjustment step: calculating the current roasting time based on the previous pressing and releasing time and the current system time; acquiring the average single-phase active power during the current roasting time, calculating the cumulative roasting power consumption based on the average single-phase active power and the current roasting time; comparing the cumulative roasting power consumption with a preset roasting power consumption threshold, and performing an electrode pressing and releasing operation if the cumulative roasting power consumption is greater than or equal to the roasting power consumption threshold.

[0014] The above embodiment presents another triggering logic for electrode pressing and releasing, replacing the fixed time interval with the cumulative roasting power consumption as the triggering condition. This approach transforms the basis for pressing and releasing decisions from an indirect "time" quantity to an "energy" quantity directly related to electrode consumption and roasting maturity. This allows the pressing and releasing timing to adapt to actual changes in furnace conditions: the pressing and releasing action is advanced when smelting intensity is high and electrode consumption is rapid, and delayed when conditions are low. Ultimately, compared to the fixed-time-period triggering method, this control based on actual power consumption can more accurately match the physical consumption rate of the electrode, improving the precision of the pressing and releasing operation. It achieves a better balance between ensuring the electrode is fully roasted to avoid "soft breakage" accidents and timely replenishing the electrode length to prevent exhaustion of the lifting stroke, further enhancing the automation level and operational reliability of electrode management.

[0015] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes a power adjustment step: acquiring the primary side current and electrode current, comparing them with the corresponding maximum standard values ​​of the equipment; if either current value exceeds its maximum standard value, controlling the transformer stage number to decrease; if it does not exceed the maximum standard value of the equipment, acquiring the real-time total active power of the primary side, and comparing the total active power of the primary side with the maximum and minimum values ​​of the power target range, the power target range being calibrated based on historical data; when the total active power of the primary side is greater than the maximum value of the power target range, controlling the transformer stage number to decrease; when the total active power of the primary side is less than the minimum value of the power target range, controlling the transformer stage number to increase.

[0016] The above embodiment introduces a transformer power closed-loop adjustment step. By monitoring the primary side current and electrode current, a downshift operation is prioritized when the values ​​exceed the equipment's standard maximum value, thus constructing a hardware safety boundary for the system and improving the equipment's safety under abnormal operating conditions. Further, within this safety boundary, the system automatically adjusts the transformer level by comparing the total active power on the primary side with a dynamic target range calibrated based on historical data, ensuring that the energy input during the smelting process remains stable within the optimal process range. Ultimately, this power level adjustment, combined with the aforementioned electrode position adjustment, constructs a collaborative dual-closed-loop control system. This system can actively manage core energy input, improving process stability and energy utilization efficiency compared to a single control mode that only passively adjusts the electrodes, thereby enhancing the overall automation level and operational economy of the submerged arc furnace.

[0017] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes historical calibration of the dynamic current target range: calculating the standard deviation of historical current data and adding a preset buffer interval to the standard deviation to obtain a furnace condition fluctuation reference value; calculating the difference between the upper limit value and the lower limit value to obtain the dynamic current range width; comparing the dynamic current range width with the furnace condition fluctuation reference value, and when the value of the dynamic current range width deviates from the target range centered on the furnace condition fluctuation reference value and with a preset constant as the radius, automatically adjusting the preset percentage so that the dynamic current range width obtained by subsequent iterative calculations can be maintained within the target range.

[0018] The above embodiment introduces a historical calibration mechanism for the dynamic current target range. This method quantifies abstract furnace condition fluctuations into an objective dynamic benchmark value by calculating the historical current standard deviation. The system continuously compares the actual width of the current dynamic current range with this benchmark value and automatically adjusts the preset parameters of the generated range through closed-loop feedback. This design allows the target range width upon which the control system is based to automatically converge, thereby dynamically matching real-time process fluctuations. Compared to using a fixed range requiring manual intervention, this scheme allows electrode lifting control to operate within a moderately tight target range, achieving a dynamic balance between avoiding frequent mechanical actions due to an excessively narrow range and control response lag due to an excessively wide range. This improves the response accuracy and stability of the control system and enhances the intelligence level of the automation system.

[0019] In a second aspect, embodiments of this application provide a submerged arc furnace device, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, which includes computer instructions, and the one or more processors call the computer instructions to cause the submerged arc furnace device to perform the method described in the first aspect and any possible implementation thereof.

[0020] Thirdly, embodiments of this application provide a computer program product containing instructions that, when the computer program product is run on an electric arc furnace device, cause the electric arc furnace device to perform the method described in the first aspect and any possible implementation thereof.

[0021] Fourthly, embodiments of this application provide a computer-readable storage medium including instructions that, when executed on an electric arc furnace device, cause the electric arc furnace device to perform the method described in the first aspect and any possible implementation thereof.

[0022] It is understood that the electric arc furnace equipment provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the methods provided in the embodiments of this application. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0023] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages:

[0024] 1. This application dynamically generates and continuously calibrates the target range of current control based on recent historical operating data, enabling the control target to adaptively adjust in real time to follow the dynamic evolution of furnace conditions. This improves the fundamental problem in related technologies where there is a continuous deviation between the static control target and the dynamically changing ideal operating conditions, thereby improving the following performance and accuracy of electrode control.

[0025] 2. This application introduces collaborative judgment of multi-phase electrical parameters before the electrode lifting and lowering action, and combines it with an electrode pressure discharge compensation mechanism based on cumulative energy consumption, thereby adding verification logic and long-term compensation capability to the control execution. This design improves the accuracy of single adjustment actions and avoids misoperation, while also improving the reliability of the system's long-term autonomous operation and reducing the risk of control failure due to electrode travel exhaustion.

[0026] 3. This application constructs a dual closed-loop control architecture that coordinates electrode position adjustment and total power input by introducing closed-loop adjustment of transformer power. This upgrades the system from a single mode of passively adjusting current to a dual control mode that actively manages core energy input, improving the overall process stability and energy utilization efficiency of the smelting process, and enhancing the comprehensive automation level and operational economy of the submerged arc furnace. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating an adaptive cooperative control method in an embodiment of this application;

[0028] Figure 2 This is a flowchart illustrating the electrode lifting and lowering adjustment method in an embodiment of this application;

[0029] Figure 3 This is a schematic flowchart of an electrode pressing and discharging adjustment method in an embodiment of this application;

[0030] Figure 4 This is a flowchart illustrating a power adjustment method in an embodiment of this application;

[0031] Figure 5 This is a schematic diagram of the physical device structure of a submerged arc furnace equipment in the embodiments of this application. Detailed Implementation

[0032] The terminology used in the following embodiments of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of this application. As used in the specification of this application, the singular expressions “a,” “an,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in this application refers to any or all possible combinations including one or more of the listed items.

[0033] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0034] To facilitate understanding, the application scenarios of the embodiments of this application are described below.

[0035] In existing practices for controlling submerged arc furnaces, related technologies have evolved from early constant current control to control strategies based on electrical parameter ratios (such as electrode impedance). This strategy adjusts the electrodes by maintaining the real-time calculated electrical parameter ratios within a preset, fixed target range, making it more adaptable to fluctuations in smelting power compared to constant current control.

[0036] However, the actual operation of an electric arc furnace is a complex physicochemical process with a long cycle and continuously changing operating conditions. Its overall electrical conductivity and optimal electrothermal efficiency also evolve dynamically. The fixed, universal target ratio ranges adopted by the aforementioned technologies are essentially static control strategies that cannot actively adapt to the dynamic evolution of furnace conditions. This inevitably leads to a persistent deviation between its control target and the dynamically changing ideal target at different times, limiting the system's ability to maintain optimal operating conditions throughout the entire smelting cycle.

[0037] This application provides an adaptive cooperative control method for electrodes in an electric arc furnace. This method learns from the recent historical operating data of the electric arc furnace and dynamically generates control targets, enabling electrode adjustment to more accurately match the real-time evolution of furnace conditions. The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings.

[0038] To facilitate understanding, the method provided in this implementation will be described in detail below, using the above scenario as an example. Please refer to [link / reference]. Figure 1 This is a flowchart illustrating an adaptive cooperative control method in an embodiment of this application.

[0039] S101. Obtain historical current data and historical power data within a preset time period, and calculate multiple historical current-power ratios based on the historical current data and historical power data.

[0040] In this application's automatic control model, the historical current-to-power ratio is specifically represented by coefficient C3, which refers to the ratio of single-phase electrode current (I) to the active power (P) of that phase at a specific time point (C3=I / P). It is a core parameter characterizing the electrical efficiency and internal heat distribution of the submerged arc furnace under specific operating conditions. According to the technical solution of this application, the value of C3 typically ranges from 6 to 15. This range has clear technological significance: when the C3 value is low (e.g., close to 6), it usually indicates a higher electrode working resistance, a longer arc, and more energy radiated to the upper furnace charge, which is beneficial for preheating and melting of the charge, but may lead to insufficient molten pool temperature; when the C3 value is high (e.g., close to 15), it indicates a lower electrode working resistance, deeper electrode insertion, and more concentrated energy in the molten pool, which is beneficial for increasing the molten pool temperature and promoting chemical reactions, but may pose a risk of electrode contact with the molten pool or even short circuit, which is detrimental to the melting of the charge. Therefore, by calculating and analyzing the C3 value, the furnace operating conditions, which are difficult to observe directly, can be transformed into quantifiable data indicators. Historical current data refers to the sequence of secondary current values ​​for each phase electrode continuously collected and stored by the primary control system of the submerged arc furnace within a preset time period. Historical power data refers to the sequence of active power values ​​for each phase that corresponds one-to-one with the above current data in time. The preset time period represents a configurable rolling time window for data statistics, such as the most recent 60 minutes, used to limit the range of model "learning" and ensure that the data used for calculation reflects the recent operating conditions of the submerged arc furnace.

[0041] This step is triggered when the control system periodically initiates data preprocessing tasks, and its application scenario is for electrode displacement adjustment or historical calibration modules preparing input data. Specifically, the operation process of this step is as follows: the control model requests historical current and power data within a preset time period from the data acquisition system and performs time alignment on the data to ensure a one-to-one correspondence. Subsequently, the system iterates through these data pairs, performing the operation C3=I / P on each group to calculate a series of C3 values ​​representing the furnace conditions at different times. These C3 values ​​together constitute the basic dataset required for subsequent statistical analysis. This step, by constructing C3, a composite index deeply integrated with the process mechanism, transforms the abstract "electrode work balance" objective into a concrete quantitative problem that can be optimized within the 6-15 range. This provides a solid data foundation for the subsequent adaptive adjustment of the model and is key to realizing the transition from experience-based power distribution to model-based precise control.

[0042] S102. Perform statistical processing on multiple historical current-power ratios, remove the maximum and minimum values ​​of the preset percentage, and determine the maximum value as the upper limit ratio and the minimum value as the lower limit ratio among the remaining historical current-power ratios.

[0043] The preset percentage is a key parameter that can be configured by process engineers based on the specific furnace type, smelting product, and operating habits, for example, set to 5% or 10%. The size of this percentage directly affects the model's "tolerance": a higher percentage will eliminate more data, making the final determined C3 upper and lower limit ratios (C3max, C3min) more convergent and stable, but may be less responsive to slow, normal drift in furnace conditions; a lower percentage can adapt to changes in furnace conditions more quickly, but is more susceptible to short-term noise.

[0044] The above steps are triggered after step S101 is completed and a set of historical C3 value datasets is output. Specifically, the control model sorts the multiple historical C3 values ​​obtained from S101 (e.g., 3600 C3 values ​​collected and calculated in the past 60 minutes) in ascending order, and removes 3600*5%=180 data points from each end of the dataset according to a preset percentage (assumed to be 5%). Finally, among the remaining 3240 C3 values ​​after the removal operation, the system finds the minimum value and defines it as the "lower limit ratio" (C3min) for this calculation; at the same time, it finds the maximum value and defines it as the "upper limit ratio" (C3max). This step intelligently filters the historical data of the furnace itself that shows recent "good performance" and automatically learns and extracts the most suitable C3 operating boundary. This method enables the control target to closely follow slowly changing operating conditions such as raw material composition, furnace age, and seasonal changes, realizing the self-calibration and continuous optimization of the control model.

[0045] S103. Obtain the real-time power of the electric arc furnace, multiply the upper limit ratio and the lower limit ratio by the real-time power respectively, and calculate the upper limit value and the lower limit value. The upper limit value and the lower limit value are the boundary values ​​of the dynamic current target range under the current operating conditions.

[0046] This step is triggered when the control system needs to provide an immediate current control target for the electrode regulator. It plays a role in target generation within the entire control closed loop, serving as a bridge between "historical analysis" (S101, S102) and "future control" (electrode lifting / lowering actions). Specifically, whenever a new real-time power value P_realtime is acquired, the system immediately calls the currently valid C3max and C3min calculated in S102, performs two multiplication operations, and thus instantaneously updates the upper limit value I_max and the lower limit value I_min of the current. This new [I_min, I_max] range is then sent to the electrode control adjustment system as the basis for adjusting the electrode position to control the current in the next moment. This step, by combining the C3 ratio range, representing the ideal work characteristics, with the real-time power, allows the current target to be adaptively adjusted proportionally and instantaneously with each fluctuation in power. This ensures that regardless of power fluctuations, the electrode's work state (characterized by the C3 ratio) is always constrained within the historically optimal range, thereby improving control stability and smelting efficiency.

[0047] S104. Obtain the real-time current of the electric arc furnace, compare the real-time current with the target range of the dynamic current in real time, and when the real-time current exceeds the target range of the dynamic current, control the electrode lifting device to adjust the electrode position so that the real-time current returns to the target range of the dynamic current.

[0048] The above steps are the final execution link of the entire closed-loop control system. It converts the target obtained from the analysis and calculation in the previous steps into actual physical control actions, directly acting on the production process. When the judgment logic is triggered (i.e., I_realtime exceeds the interval [I_min, I_max]), the control system will send clear instructions to the actuator for electrode lifting (such as a hydraulic system or a motor driver). The specific control rule is as follows: When I_realtime > I_max, it indicates that the electrode is inserted too deep into the charge, resulting in too short an arc, too small a resistance, and the current exceeding the ideal upper limit. At this time, the system controls the electrode lifting device to perform a "lifting" action to lengthen the arc and increase the resistance, thereby reducing the current. When I_realtime < I_min, it indicates that the electrode is too high from the molten pool, resulting in too long an arc, too large a resistance, and the current being lower than the ideal lower limit. At this time, the system controls the electrode lifting device to perform a "lowering" action to shorten the arc and reduce the resistance, thereby increasing the current. When I_min ≤ I_realtime ≤ I_max, it indicates that the current is within the ideal dynamic range and the electrode is working well. At this time, the system does not issue any adjustment instructions and keeps the electrode position unchanged to avoid unnecessary mechanical actions. This step upgrades the control target from a traditional fixed point to a dynamically adaptive interval with respect to power. This "interval control" mechanism introduces a "no-action zone", allowing the current to fluctuate harmlessly within the optimal range, reducing mechanical wear and energy consumption caused by frequent electrode adjustments, and ensuring that the system always operates around the most efficient working characteristics, improving the balance between smelting efficiency and equipment stability.

[0049] In some preferred embodiments, in order to further bind the control accuracy with the depth of the smelting process, the present application also provides a more refined method for generating a dynamic current target interval based on smelting stage identification. The specific steps can replace or optimize the processes of S101 to S103 above. Specifically, the core of this optimization method lies in the phased processing of a single, continuous historical data set: Instead of generally analyzing all historical data, the system first obtains at least one non-electric parameter furnace condition sensor data such as furnace gas composition analysis, furnace chamber flame image, or acoustic signal, and uses this data to identify different smelting stages (such as the melting stage, refining stage, etc.) corresponding in the historical data stream. After that, for each identified smelting stage, the corresponding historical current data and historical power data are independently extracted, and the set of historical current-power ratios corresponding to this stage is calculated. After obtaining the independent ratio sets for each stage, the system then performs statistical processing on each set respectively, such as enhancing the robustness of the model by removing a preset percentage of extreme values, so as to determine a set of exclusive upper limit ratios and lower limit ratios for each smelting stage.

[0050] During the real-time control phase, the system also utilizes the aforementioned non-electrical parameter furnace condition sensors to identify the current smelting stage of the submerged arc furnace. Once the real-time stage is determined, the corresponding upper limit ratio and lower limit ratio are directly retrieved. The subsequent process is similar to that in Example 1: by multiplying the real-time power by these target ratios, a highly accurate dynamic current target range that meets the current process requirements under the current operating conditions can be calculated.

[0051] Understandably, this optimization approach based on the smelting stage essentially upgrades the original macroscopic adaptive model into a set of multiple expert sub-models, using non-electrical parameters as switching switches. This allows current control to no longer broadly adapt to "recent operating conditions" but precisely match "the current process stage," thereby achieving a deeper level of following and optimizing the smelting rhythm in terms of technical effectiveness.

[0052] In some embodiments, the method further includes historical calibration of the target range of dynamic current: calculating the standard deviation of historical current data and adding a preset buffer interval to the standard deviation to obtain a furnace condition fluctuation reference value; calculating the difference between the upper limit value and the lower limit value to obtain the width of the dynamic current range; comparing the width of the dynamic current range with the reference value of furnace condition fluctuation, and when the value of the width of the dynamic current range deviates from the target range centered on the reference value of furnace condition fluctuation and with a preset constant as the radius, automatically adjusting the preset percentage so that the width of the dynamic current range obtained by subsequent iterative calculations can be maintained within the target range.

[0053] This step is a higher-level meta-control loop used for self-calibration and optimization of the control strategy. It doesn't directly control the electrodes, but rather indirectly optimizes the future performance of the entire control system by adjusting a preset percentage (a%) of the core parameter. The system reviews historical current data and calculates its standard deviation, quantifying the ideal fluctuation range under stable furnace conditions and establishing a baseline value for furnace condition fluctuation. This represents the most reasonable fluctuation range of the current based on historical experience. The system calculates the actual width of the dynamic current target range determined by the current a% value, reflecting the "tightness" of the current control strategy. By comparing this "current width" with the "baseline value," the system can make intelligent judgments: if the current range width is too large, it means the control is too "loose," potentially sacrificing smelting efficiency, and the system automatically reduces a% to tighten the control; conversely, if the width is too small, it means the control is too "strict," leading to frequent electrode jitter and increased losses, and the system automatically increases a% to relax the control. This self-adjusting cycle, which operates at a low frequency (such as per hour or per shift), ensures that the width of the control system's "inactive zone" can dynamically and intelligently match the furnace's optimal characteristics under long-term operating conditions such as raw materials and furnace age.

[0054] The above-described embodiment 1 establishes a dynamic current target range that fluctuates with real-time power by learning from historical data, thus solving the problem of when the control system needs to initiate regulation. However, in complex three-phase linkage systems, simply performing up / down actions on the over-limit phase may trigger cascading interference or even cause misjudgments. To improve the accuracy of the regulation action and avoid disrupting the system balance, the following embodiment will optimize how to perform the regulation by introducing a control logic based on multi-phase parameter collaborative verification.

[0055] The following provides a more detailed description of the process of the method provided in this implementation. Please refer to [link / reference]. Figure 2 This is another flowchart illustrating the electrode lifting and lowering adjustment method in this application embodiment.

[0056] S201. When the real-time current is greater than the upper limit, obtain the target electrode resistance of the target phase electrode and the electrode resistance of the other two phase electrodes. The target phase electrode is the electrode of the phase in which the real-time current exceeds the target range of the dynamic current.

[0057] The target phase electrode refers to a specific phase electrode whose real-time current value has been confirmed to exceed the above upper limit value, such as phase A electrode. This electrode is the direct target of subsequent control actions.

[0058] S202. Compare the resistance of the target electrode with the resistance of the other two phase electrodes. If the resistance of the target electrode is less than or equal to the resistance of either of the other two phase electrodes, control the electrode lifting device to perform an upward movement.

[0059] Specifically, the above steps introduce a judgment logic based on the coordinated verification of three-phase parameters, rather than simply responding to the over-limit of a single-phase current. The mechanism lies in the fact that the vertical displacement of the electrode directly changes its insertion depth into the furnace charge, thereby altering the operating resistance. When the electrode descends, its end is closer to the highly conductive molten pool, the arc shortens, the resistance decreases, and the current increases accordingly; conversely, when the electrode rises, the resistance increases, and the current decreases. However, an electric arc furnace is a complex three-phase interconnected system. An abnormal current in one phase may not necessarily originate in that phase itself. For example, if one of the other two phases experiences a "collapse," leading to momentary poor contact and a surge in resistance, its load will transfer to the target phase, causing the target phase's current to passively increase. If, at this point, a blind upward movement is executed simply based on the target phase current exceeding the limit, it will not only fail to solve the problem but will also interfere with the originally normal target phase, disrupting the three-phase work balance. Therefore, this scheme adds a verification procedure before issuing the adjustment command: when the target phase current exceeds the upper limit, the system compares its electrode resistance with the resistances of the other two phases. Only when the resistance of the target phase is indeed less than or equal to that of any of the other two phases is the system certain that the high current is caused by the low resistance of that phase (e.g., excessive insertion depth). Only then is the upward movement reasonable and effective. Similarly, when the current is below the lower limit, it must be confirmed that the resistance of that phase is indeed relatively higher than that of the other two phases before a downward movement is executed. This collaborative judgment mechanism, by introducing lateral comparison, greatly improves the accuracy of control decisions and reduces erroneous adjustments caused by misjudgments. Its core purpose is to maintain the three-phase work balance of the entire system, achieving stable and efficient operation of the submerged arc furnace.

[0060] S203. When the real-time current is less than the lower limit, obtain the target electrode resistance of the target phase electrode and the electrode resistance of the other two phase electrodes.

[0061] S204. Compare the resistance of the target electrode with the resistance of the other two phase electrodes. If the resistance of the target electrode is greater than or equal to the resistance of either of the other two phase electrodes, control the electrode lifting device to perform a lowering action.

[0062] The above steps are a symmetrical complement to the aforementioned high-current regulation logic, together forming the core of the electrode displacement control in this application. The trigger condition is that the real-time current of the target phase is lower than the lower limit of the dynamic current range, indicating that the phase may be insufficient in work due to excessive resistance. Specifically, this step also does not use a simple single-parameter response, but continues the core idea of ​​multi-phase collaborative verification. When the system detects a low current, it first diagnoses the root cause of the problem by comparing the electrode resistances of the three phases. Only when the electrode resistance of the target phase is indeed relatively higher than that of the other two phases does the system confirm that the low current is caused by the electrode of that phase being inserted too shallowly or having poor contact with the molten pool. At this time, a "descent" action is executed to shorten the arc and reduce the resistance to restore the current.

[0063] The above-described embodiment 2, by introducing a lateral comparison of multiphase electrode resistance, adds a verification procedure to the real-time lifting and lowering adjustment of the electrodes, improving the accuracy of single adjustment actions. However, this lifting and lowering adjustment mainly addresses short-term furnace condition fluctuations and cannot solve the long-term problem of electrodes shortening due to continuous physical consumption. Without compensation, the effective stroke of the lifting device will eventually be exhausted. Therefore, to ensure the reliability of the long-term autonomous operation of the control system, the following embodiment will introduce an electrode pressing and releasing adjustment method to perform periodic or adaptive macroscopic compensation of the electrode length.

[0064] The following provides a more detailed description of the process of the method provided in this implementation. Please refer to [link / reference]. Figure 3 This is a flowchart illustrating the electrode pressing and discharging adjustment method in an embodiment of this application.

[0065] This application proposes two systems for electrode pressure release adjustment. One is a periodic adjustment system, which is applicable to normal production conditions where smelting conditions such as raw materials and equipment are stable. The aim is to maintain the macroscopic stability of the electrode working length through regular compensation. The specific details are as follows.

[0066] S3011. Calculate the current time interval for pressing and releasing based on the previous pressing and releasing time and the current system time.

[0067] Among them, the last pressure release time refers to the precise timestamp of the last successful electrode pressure release operation, which is automatically recorded by the system and serves as the starting point of the current timing cycle; the current pressure release time interval refers to the difference between the current system time and the last pressure release time, which is a continuously increasing timing variable used to quantify the elapsed time since the last pressure release; the preset pressure release cycle is a fixed time value (e.g., 120 minutes) that can be set by process engineers based on historical experience such as smelting varieties and electrode consumption rates, or optimized by the historical calibration module, which constitutes the benchmark threshold for triggering the pressure release operation under stable operating conditions; the electrode pressure release operation refers to the action of releasing the electrode holder, allowing the electrode to slide down a certain distance under the action of gravity to compensate for its continuous consumption caused by oxidation and sublimation during the smelting process.

[0068] S3012. Compare the current discharge time interval with the preset discharge cycle. If the current discharge time interval is greater than or equal to the discharge cycle, perform the electrode discharge operation.

[0069] The above steps constitute the decision-making and execution phase of the periodic adjustment system, triggered after S3011 completes the time interval calculation. Specifically, this step transforms the timing result of S3011 into a clear "yes / no" decision. When the timer reading (the current release time interval) reaches or exceeds the preset alarm time (the preset release cycle), the system triggers the release command. Using a "greater than or equal to" condition increases the fault tolerance of the control system. Even if a precise triggering time is missed due to system delays, release can still be performed in subsequent check cycles, avoiding operational omissions. This step ensures a high degree of regularity and predictability in the release action, which improves the stability of the total release volume. This stability creates an extremely favorable working environment for the electrode displacement fine-tuning module: since the release action is no longer a random, sudden disturbance, the displacement module does not need to make significant emergency adjustments, and its working stroke can remain within a responsive range. This allows for more precise and composed handling of normal fluctuations within the furnace, ultimately promoting stable power input and continuous balance of three-phase work throughout the smelting process.

[0070] It should be added that, in order to improve the system's practicality and robustness, the periodic adjustment system also reserves an interface for human-machine collaboration. In special cases such as electrode replacement (commonly known as turning around) or the length of the new electrode being too long, the operator can manually and flexibly adjust or trigger the pressure release cycle to quickly ensure that the furnace entry depth and working state of each phase electrode remain consistent, demonstrating an effective combination of automation strategy and human experience.

[0071] The second is the power adjustment system. This system is applicable to working conditions with unstable power input, such as power rationing and resumption of production after power outages. Its core objective is to ensure that the electrodes are fully baked when the energy input is insufficient or irregular, and to prevent safety accidents such as soft breakage due to incomplete baking.

[0072] S3021. The roasting time for this roasting is calculated based on the previous pressing time and the current system time.

[0073] The definitions and functions of the previous press-release time and the current system time are consistent with those in the aforementioned periodic adjustment system, and will not be repeated here. The current roasting time is numerically equal to the current system time minus the previous press-release time, but its physical meaning changes from the press-release interval under stable operating conditions to the effective duration for the new electrode paste segment to receive energy input under fluctuating operating conditions.

[0074] S3022. Obtain the average single-phase active power during the current roasting time, and calculate the cumulative roasting power consumption based on the average single-phase active power and the current roasting time.

[0075] Among them, the average single-phase active power refers to the average power actually input into the furnace by the target phase electrode during the current roasting time. It is obtained by integrating and averaging the instantaneous power values ​​sampled at high frequency, and is used to smooth the impact of power fluctuations. The cumulative roasting power consumption refers to the total electrical energy absorbed by the electrode paste during the current roasting time. It is the product of the average single-phase active power and the current roasting time.

[0076] The trigger condition for the above steps is that the system detects that the operating condition has entered a "fluctuation" state. A typical application scenario is the resumption of production after power rationing or power outages. In such scenarios, the power supply is unstable, the smelting power fluctuates frequently or remains at a low level for a long time, and the consumption and roasting process of the electrodes become extremely irregular. Specifically, S3021 first determines a calculation window, namely "the roasting time of this operation". S3022 calculates how much energy the newly connected electrode paste absorbed during this period based on the product of the average single-phase active power and the roasting time of this operation. This scheme uses the "average active power" for calculation, which filters out instantaneous fluctuations to a certain extent and can more realistically reflect the overall energy input level during this period.

[0077] S3023. Compare the cumulative roasting power consumption with the preset roasting power consumption threshold. If the cumulative roasting power consumption is greater than or equal to the roasting power consumption threshold, perform the electrode pressing and releasing operation.

[0078] The preset calcination power consumption threshold is a safety benchmark parameter. It is determined by theoretical calculations, laboratory data, or historical production experience based on the grade, diameter, conductivity, and calcination characteristics of the electrode paste. It represents the minimum energy required to completely calcinate a new section of electrode paste to achieve sufficient mechanical strength and conductivity.

[0079] The above steps constitute the final decision-making and execution checkpoint, triggered after S3022 completes the calculation of cumulative power consumption. Specifically, the real-time cumulative energy calculated in the previous steps is compared with an energy standard representing "qualified roasting." When the cumulative roasting power consumption is greater than or equal to a threshold (when the electrode paste has "absorbed" enough energy), it proves that its interior has transformed from a paste-like state into a solid carbonaceous conductor, at which point electrode pressing and releasing is permitted. The characteristic of this scheme is that, under fluctuating operating conditions, time is no longer a reliable measure of the degree of electrode roasting; instead, energy (i.e., cumulative roasting power consumption) is. By switching the basis of control decisions from the indirect and unreliable "time" to the direct and strongly physical process-related "energy," this scheme ensures that pressing and releasing is only permitted in the next step after the electrode paste has absorbed sufficient energy and reached a mechanical strength sufficient to withstand large current impacts (i.e., fully roasted). This reduces the safety hazards of insufficient electrode roasting and "soft breakage" under large current impacts that may occur due to blindly pressing and releasing according to time in the early stages of resumption of production.

[0080] The above-described embodiment 3, by introducing a periodic or energy-based pressure release mechanism, effectively compensates for the long-term physical consumption of the electrodes, and together with the aforementioned embodiments, constitutes a closed-loop control scheme for electrode position and shape. However, this scheme mainly focuses on how to efficiently and stably utilize the given input power. To achieve deeper global control over the smelting process, active management of the total energy input is also required. Therefore, the following embodiments will introduce a power adjustment method to construct a dual closed-loop control architecture where electrode control and power input work in tandem.

[0081] The following provides a more detailed description of the process of the method provided in this implementation. Please refer to [link / reference]. Figure 4 This is a flowchart illustrating a power adjustment method in an embodiment of this application.

[0082] S401. Obtain the primary side current and electrode current, and compare them with the corresponding maximum standard value of the equipment. If any current value exceeds its maximum standard value, control the transformer stage to decrease.

[0083] Among them, the highest value of equipment standard represents a composite concept, which includes at least two independent thresholds: the upper limit of current that primary electrical equipment can safely carry and the upper limit of current that secondary equipment can safely withstand. These two values ​​are usually determined by the equipment design specifications and safety standards.

[0084] The triggering condition for the above steps is a parallel "OR" logic, meaning that either the primary current or the electrode current exceeds its own safety threshold. This step operates continuously throughout the entire smelting cycle, especially under conditions that easily cause rapid current fluctuations, such as during feeding, material collapse, and electrode breakdown. Specifically, this step employs a dual-source monitoring design. Related protection strategies often focus only on the electrode current because it is directly related to production, but this leaves a safety blind spot. This solution, by adding monitoring of the primary current, achieves coverage of two distinct fault modes: 1) When a short circuit occurs in the furnace due to material collapse, the electrode current will surge instantaneously; monitoring the electrode current allows for the fastest response. 2) When a fault occurs inside the transformer or in the secondary short-circuit, and this fault has not fully or immediately propagated to the electrodes, the primary current, as a "barometer" of the transformer's total load, may show abnormalities before the electrode current. By simultaneously monitoring these two critical parameters, which have vastly different physical locations and electrical characteristics, this solution establishes a protective network that combines "remote early warning" with "near-end direct protection." This enhances the ability to identify various electrical faults under complex operating conditions and expands the protection coverage, reducing the risk of damage to core assets such as transformers due to the failure or delayed response of a single monitoring point.

[0085] S402. If the maximum value of the equipment standard is not exceeded, the real-time total active power of the primary side is obtained, and the total active power of the primary side is compared with the maximum and minimum values ​​of the power target range. The power target range is calibrated based on historical data.

[0086] This step marks the transition from "safety control" to "economic control" in this solution. Its purpose is to provide a precise and dynamic target for subsequent power adjustments (S403, S404), spanning all normal production time except for overcurrent protection. Specifically, the technological innovation of this step lies in the method of generating its power target range. Traditional control often relies on fixed power values ​​set by operators based on experience, making it difficult to adapt to complex changes in raw materials and process stages.

[0087] Furthermore, in ideal production scenarios where raw materials, equipment, and product indicators are highly stable, in some embodiments, the setting of the total active power P on the primary side or the calibration of its target range can be dynamically calibrated based on electrode displacement and electrode pressing and releasing, in addition to relying on historical data for optimization. For example, if the system continuously issues electrode displacement reduction commands for a period of time, it may indicate that the current power setting is too low relative to the furnace charge melting rate, and the power target range can be appropriately increased accordingly. Conversely, if the actual pressing and releasing rhythm is significantly faster than the historical average, it may mean that the current power is too high, causing the electrodes to be consumed too quickly, and the system can appropriately lower the power target range. This feedback calibration mechanism based on multi-module conclusions achieves intelligent collaboration and deep coupling between modules, enabling the setting of the total power to respond more sensitively to subtle changes in the actual state inside the furnace, further improving the overall integrity and foresight of the system control.

[0088] S403. When the total active power on the primary side is greater than the maximum value of the power target range, the number of control transformer stages decreases.

[0089] S404. When the total active power on the primary side is less than the minimum value of the power target range, the number of control transformer stages increases.

[0090] The two steps described above together constitute the execution phase of the power optimization control in this scheme. Execution occurs only when the real-time power exceeds the upper and lower boundaries of the target range. Specifically, the innovation of this scheme lies in its constructed "macro-steady-state" power regulation mechanism. When the comparison result of S402 shows that the power is too high (S403), it means that the energy input exceeds the economically optimal range under the current operating conditions, which may lead to overheating of the electrode ends, increased furnace lining erosion, or decreased energy efficiency. At this time, the system reduces the number of transformer stages, thereby reducing the voltage supply at the source and causing the power to fall back to the target range. Conversely, when the power is too low (S404), it means that the melting rate is insufficient, which may prolong the smelting cycle and increase heat loss per ton of steel. At this time, the system increases the number of transformer stages, increasing the voltage supply and causing the power to rise back to the economic range. This adjustment action of increasing and decreasing power constrains the power within the dynamically calibrated economic range, forming an autonomously operating and self-optimizing stabilizer.

[0091] After describing the power adjustment method, it is necessary to supplement the explanation of the prerequisites for its applicability. To ensure the applicability and control accuracy of the power adjustment method in this application, the system will comprehensively consider a series of multi-dimensional basic conditions to construct a personalized adjustment model suitable for a specific submerged arc furnace. These basic conditions include at least:

[0092] 1) Transformer Capacity Range: The transformer capacity applicable to this solution covers a wide range from 12500KVA to 81000KVA. The transformer capacity directly determines the maximum energy input capability of the submerged arc furnace and is the basis for setting power targets and safety boundaries.

[0093] 2) Furnace parameters: These include electrode diameter, electrode center circle diameter, furnace diameter, and furnace depth. These physical parameters collectively determine the furnace's geometry and electric field distribution, directly affecting its electrical characteristics (such as inherent resistance and inductance) and thermal characteristics. The combination of transformer capacity and furnace parameters is primarily used to define the system's safe operating boundaries. Together, they determine the "maximum equipment standard value" used in step S401 and provide a physical upper limit for setting the "power target range" in step S402, ensuring that all adjustments are within the equipment's safe operating capacity.

[0094] 3) Smelting varieties: such as ferrosilicon, industrial silicon, calcium carbide, ferrochrome, ferromanganese, etc. The smelting processes of different varieties have very different chemical reaction kinetics and energy demand curves. The model needs to be calibrated to determine the optimal power curve and operating point according to the specific process requirements of the variety, so as to establish the process target benchmark for power adjustment.

[0095] 4) Transformer characteristics: Specifically refers to the precise input active power capability corresponding to different tap levels under star (Y) or delta (Δ) connection methods as indicated on the transformer nameplate. This is the fundamental basis for power prediction and command conversion when the control system performs tap level adjustment.

[0096] In summary, by integrating the above-mentioned basic conditions, the power adjustment method is not a fixed, general template, but a precise control core whose safety boundaries, process objectives, and execution accuracy are pre-configured and individually defined, thus achieving adaptive adjustment.

[0097] The following description of the submerged arc furnace equipment in the embodiments of this invention is from the perspective of hardware processing. Please refer to [link / reference needed]. Figure 5 This is a schematic diagram of the physical device structure of a submerged arc furnace equipment in the embodiments of this application.

[0098] It should be noted that, Figure 5 The structure of the electric arc furnace equipment shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of the present invention.

[0099] like Figure 5 As shown, the submerged arc furnace equipment includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 502 or a program loaded from storage section 508 into random access memory (RAM) 503, such as performing the methods described in the above embodiments. The RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0100] The following components are connected to I / O interface 505: input section 506 including audio input devices, push-button switches, etc.; output section 507 including liquid crystal display (LCD) and audio output devices, indicator lights, etc.; storage section 508 including hard disks, etc.; and communication section 509 including network interface cards such as LAN (Local Area Network) cards, modems, etc. Communication section 509 performs communication processing via a network such as the Internet. Drive 510 is also connected to I / O interface 505 as needed. Removable media 511, such as disks, optical disks, magneto-optical disks, semiconductor memories, etc., are installed on drive 510 as needed so that computer programs read from them can be installed into storage section 508 as needed.

[0101] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing computer programs for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit (CPU) 501, it performs the various functions defined in the present invention.

[0102] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this invention, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0103] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. Each block in a flowchart or block diagram may represent a module, program segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those shown in the drawings.

[0104] Specifically, the electric arc furnace equipment in this embodiment includes a processor and a memory. The memory stores a computer program, and when the computer program is executed by the processor, it implements the adaptive cooperative control method provided in the above embodiment.

[0105] In another aspect, the present invention also provides a computer-readable storage medium, which may be included in the submerged arc furnace equipment described in the above embodiments; or it may exist independently and not assembled into the submerged arc furnace equipment. The storage medium carries one or more computer programs that, when executed by a processor of the submerged arc furnace equipment, cause the submerged arc furnace equipment to implement the adaptive cooperative control method provided in the above embodiments.

[0106] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit it. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0107] As used in the above embodiments, depending on the context, the term "when..." can be interpreted as meaning "if...", "after...", "in response to determining...", or "in response to detecting...". Similarly, depending on the context, the phrase "when determining..." or "if (the stated condition or event) is interpreted as meaning "if determining...", "in response to determining...", "when (the stated condition or event) is detected", or "in response to detecting (the stated condition or event)".

[0108] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method of adaptive coordinated control of a smelting furnace electrode, characterized by, The method is applied to a submerged arc furnace device, and the method comprises the following steps: obtaining historical current data and historical power data in a preset time period, and calculating a plurality of historical current-to-power ratios based on the historical current data and the historical power data; statistically processing the plurality of historical current-to-power ratios, eliminating a preset percentage of maximum values and minimum values, and determining a maximum value and a minimum value in the remaining historical current-to-power ratios as an upper limit ratio and a lower limit ratio, respectively; obtaining real-time power of the submerged arc furnace, multiplying the upper limit ratio and the lower limit ratio by the real-time power, respectively, and calculating an upper limit value and a lower limit value, which are boundary values of a dynamic current target interval under a current working condition; obtaining real-time current of the submerged arc furnace, and comparing the real-time current with the dynamic current target interval in real time, and when the real-time current exceeds the dynamic current target interval, controlling an electrode lifting device to adjust a position of an electrode so that the real-time current returns to the dynamic current target interval.

2. The method of claim 1, wherein, The method further comprises a step of controlling the electrode lifting device to adjust the position of the electrode, and the step of controlling the electrode lifting device to adjust the position of the electrode comprises the following steps: when the real-time current is greater than the upper limit value, obtaining a target electrode resistance of a target phase electrode and electrode resistances of other two phase electrodes, the target phase electrode being an electrode of a phase in which the real-time current exceeds the dynamic current target interval; comparing the target electrode resistance with the electrode resistances of the other two phase electrodes, and when the target electrode resistance is less than or equal to any one of the electrode resistances of the other two phase electrodes, controlling the electrode lifting device to perform a lifting-up action.

3. The method of claim 1, wherein, The method further comprises a step of controlling the electrode lifting device to adjust the position of the electrode, and the step of controlling the electrode lifting device to adjust the position of the electrode comprises the following steps: when the real-time current is less than the lower limit value, obtaining a target electrode resistance of a target phase electrode and electrode resistances of other two phase electrodes; comparing the target electrode resistance with the electrode resistances of the other two phase electrodes, and when the target electrode resistance is greater than or equal to any one of the electrode resistances of the other two phase electrodes, controlling the electrode lifting device to perform a lowering action.

4. The method of claim 1, wherein, After the step of obtaining real-time current of the submerged arc furnace, comparing the real-time current with the dynamic current target interval in real time, and when the real-time current exceeds the dynamic current target interval, controlling an electrode lifting device to adjust a position of an electrode so that the real-time current returns to the dynamic current target interval, the method further comprises an electrode pressure release adjustment step: calculating a current pressure release time interval based on a last pressure release time and a current system time; comparing the current pressure release time interval with a preset pressure release period, and if the current pressure release time interval is greater than or equal to the pressure release period, performing an electrode pressure release operation.

5. The method of claim 1, wherein, The method further comprises an electrode pressure relief adjustment step after the step of obtaining the real-time current of the electric arc furnace, comparing the real-time current with the dynamic current target interval in real time, and controlling the electrode lifting device to adjust the electrode position when the real-time current exceeds the dynamic current target interval, so that the real-time current returns to the dynamic current target interval, which comprises: According to the last pressure relief time and the current system time, the current roasting time is calculated; Obtain the single-phase active power average value within the current roasting time, and calculate the cumulative roasting power consumption according to the single-phase active power average value and the current roasting time; Compare the cumulative roasting power consumption with the preset roasting power consumption threshold value, and if the cumulative roasting power consumption is greater than or equal to the roasting power consumption threshold value, execute the electrode pressure relief operation.

6. The method of claim 1, wherein, The method further comprises a power adjustment step: Obtain the primary side current and the electrode current, and compare them with the corresponding device standard maximum value. If any current value exceeds the device standard maximum value, control the transformer stage number to decrease; If the device standard maximum value is not exceeded, obtain the real-time primary side total active power, and compare the primary side total active power with the maximum and minimum values of the power target interval, which is calibrated according to historical data; When the primary side total active power is greater than the maximum value of the power target interval, control the transformer stage number to decrease; when the primary side total active power is less than the minimum value of the power target interval, control the transformer stage number to increase.

7. The method of claim 1, wherein, The method further comprises historical calibration of the dynamic current target interval: Calculate the standard deviation of the historical current data, and add a preset buffer interval to the standard deviation to obtain a furnace condition fluctuation reference value; Calculate the difference between the upper limit value and the lower limit value to obtain the dynamic current interval width; Compare the dynamic current interval width with the furnace condition fluctuation reference value. When the value of the dynamic current interval width deviates from the target range centered on the furnace condition fluctuation reference value with a preset constant as the radius, the preset percentage is automatically adjusted, so that the dynamic current interval width calculated in the subsequent loop can be maintained within the target range.

8. An electric arc furnace installation, characterized in that The electric arc furnace device comprises one or more processors and a memory; the memory is coupled with the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors invoke the computer instructions to enable the electric arc furnace device to execute the method according to any one of claims 1-7.

9. A computer-readable storage medium comprising instructions, characterized in that, When the instructions run on the electric arc furnace device, the electric arc furnace device executes the method according to any one of claims 1-7.

10. A computer program product, characterised in that, When the computer program product runs on the electric arc furnace device, the electric arc furnace device executes the method according to any one of claims 1-7.

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