Low-energy-consumption management and control method for aluminum electrolysis cell

Abstract

The invention discloses a low-energy-consumption management and control method for an aluminum electrolytic cell, and relates to the technical field of electrolytic cell energy consumption management. Establishing a four-dimensional cooperative control system of electrolyte temperature, molecular ratio, aluminum level and cell voltage, and setting two control gradients of a stability interval and an energy efficiency optimization interval; a hierarchical dynamic regulation and control mechanism is implemented, regulation and control are executed according to the priority sequence of the aluminum level, the molecular ratio and the cell voltage, and a temperature self-adaptive compensation algorithm is adopted for molecular ratio regulation and control. When specific conditions are met, a golden window period control mode is activated, and special strategies are adopted for molecular ratio compensation and cell voltage adjustment; an emergency regulation and control mechanism is arranged to cope with abnormal fluctuation of molecular ratio, an energy efficiency optimization evaluation system is established, and a three-dimensional equilibrium curved surface is generated in an optimal control state in which direct current power consumption is reduced to 12510kwh / t.Al or below and is kept for 24 hours. The method realizes accurate regulation and control of key parameters of the aluminum electrolysis cell, effectively reduces energy consumption, and improves production stability and energy efficiency level.

Description

Technical Field

[0001] The present invention relates to the technical field of electrolytic cell energy consumption management, and in particular to a low-energy consumption management and control method for an aluminum electrolytic cell. Background Art

[0002] Energy consumption control in electrolytic cells in the aluminum electrolysis industry has long faced technical bottlenecks. The industry currently generally adopts control strategies based on single-parameter feedback, such as monitoring only the electrolyte temperature or molecular ratio for independent adjustment. While this control approach maintains basic operation, it suffers from significant technical drawbacks. Existing technologies typically use PID algorithms to adjust the cell voltage to stabilize temperature, or maintain the molecular ratio through the timed addition of aluminum fluoride. These methods fail to consider the dynamic coupling between parameters. When electrolytic cell operating conditions change, such as fluctuations in aluminum levels or increased cell age, single-parameter control models struggle to maintain stable process conditions. Key issues with existing technologies include hysteresis in control parameter adjustment, with molecular ratio compensation adjustments taking hours to respond to temperature fluctuations; a lack of adaptive adjustment mechanisms across different operating phases, resulting in reduced control accuracy for older electrolytic cells; and an inability to identify the optimal operating window for electrolytic cells, leading to inefficient energy utilization. These issues directly contribute to high DC power consumption in electrolytic cells, severely impacting production costs. Summary of the Invention

[0003] In view of the deficiencies in the above-mentioned prior art, the present invention provides a low-energy consumption control method for an aluminum electrolytic cell, X purpose X.

[0004] The specific technical solutions are as follows:

[0005] A low energy consumption control method for an aluminum electrolytic cell, comprising:

[0006] (1) Establish a four-dimensional coordinated control system of electrolyte temperature, molecular ratio, aluminum level, and cell voltage, and set the first control gradient and the second control gradient, where:

[0007] The first control gradient range corresponds to the stability interval: electrolyte temperature 950-958°C, molecular ratio 2.3-2.5, aluminum level 21-25 cm, and cell voltage 3.939-3.954 V;

[0008] The second control gradient range corresponds to the energy efficiency optimization range: electrolyte temperature 952-956℃, molecular ratio 2.35-2.45, aluminum level 22-24cm, cell voltage 3.941-3.948V;

[0009] (2) Implement a hierarchical dynamic control mechanism and execute it in the following order of priority:

[0010] Level 1 regulation: When the aluminum level deviates from the target value by 1 cm, the aluminum output is adjusted at a rate not exceeding 1 cm / 24h;

[0011] Secondary control: When the absolute value of the molecular ratio deviation ΔY = Y actual - Y target is greater than 0.05, the temperature adaptive compensation algorithm is started:

[0012] When the actual molecular ratio is higher than the target value by more than 0.05: compensation amount = reference dose × f(T) × (ΔY / 0.1);

[0013] When the actual molecular ratio is less than 0.05 below the target value: compensation amount = reference dose × 1.3 × (ΔY / 0.12);

[0014] Where f(T) is the temperature correction coefficient;

[0015] Three-level regulation: adjusts the cell voltage based on a real-time thermal balance model, with a maximum adjustment rate of 10mV / 2h.

[0016] Furthermore, the temperature correction coefficient f(T) is determined as follows:

[0017] f(T)=0.65+0.05×(952-T) / 2, where T is the real-time electrolyte temperature in °C.

[0018] Furthermore, the golden window control mode is activated when the following conditions are met simultaneously:

[0019] The value of the coupling coefficient K1 = temperature × (molecular ratio - 2.3) is between 2.4 and 2.6;

[0020] The rate of change of aluminum level shall not exceed 1cm / 12h;

[0021] The standard deviation of noise value fluctuation is less than 0.8mV.

[0022] The above solution is further implemented in the golden window control mode:

[0023] When the actual numerator ratio is higher than the target value, the denominator parameter of the numerator ratio compensation algorithm is adjusted to 0.08; when the actual numerator ratio is lower than the target value, the denominator parameter of the numerator ratio compensation algorithm is adjusted to 0.12;

[0024] The cell voltage is adjusted to fine-tuning mode, with a single adjustment amplitude not exceeding 3mV.

[0025] In the above scheme, the determination of the reference dose further includes:

[0026] For 400kA electrolytic cells, the reference dose = 25-30kg / cell·day × (1 + 0.02 × absolute value of aluminum level deviation);

[0027] For 500kA class electrolyzers, the base dose is increased by 15% and multiplied by the voltage correction factor of 1.1.

[0028] The above plan further establishes an emergency control mechanism:

[0029] When the molecular ratio fluctuation still exceeds ±0.03 after three consecutive compensations, it will automatically switch to the enhanced compensation mode. At this time:

[0030] The forward compensation coefficient is adjusted to 0.6;

[0031] The negative compensation coefficient is adjusted to 1.4;

[0032] Activate the slot voltage interlock protection and limit the adjustment rate to 3mV / 2h.

[0033] The above scheme further establishes an energy efficiency optimization evaluation system:

[0034] When the DC power consumption drops below 12510kwh / t.Al and remains so for 24 hours, it is determined to be the optimal control state;

[0035] Under the optimal control state, the molecular ratio-temperature-aluminum level three-dimensional equilibrium surface is automatically generated.

[0036] Furthermore, in the above solution, the temperature correction coefficient f(T) is generated by a dynamic learning model, which executes:

[0037] (1) The standard deviation of the voltage fluctuation of the sampling tank every 2 hours δ v and the rate of change of aluminum level v Al ;

[0038] (2) Calculate the adaptive correction factor:

[0039] Where k is the tank age correlation coefficient.

[0040] Furthermore, in the above solution, the calculation of the coupling coefficient K1 is added with a voltage stability compensation term:

[0041]

[0042] where ΔV max The cell voltage extremes within 10 minutes.

[0043] Furthermore, in the above solution, the calculation of the voltage correction factor includes:

[0044] Create the dose compensation transfer function:

[0045] Where t is the number of consecutive production days, and V is the average cell voltage in the previous hour. Using the oscillation period function to solve the hysteresis problem of high current cell dosage adjustment

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] This technical solution effectively solves the problems of control lag and parameter coupling by establishing a multi-parameter collaborative control mechanism; the system identifies the operating status of the electrolytic cell in real time, automatically adjusts the control strategy according to changes in operating conditions, significantly improves the control response speed, and realizes synchronous regulation of temperature and molecular ratio. For different operating stages of the electrolytic cell, the system adaptively adjusts the control parameters through a hierarchical control mechanism to ensure that electrolytic cells with older cell ages maintain a stable operating state. The specially designed window period identification algorithm can accurately capture the optimal operating conditions of the electrolytic cell, and the energy utilization efficiency is greatly improved after the implementation of refined control. The examples show that after adopting this solution, the DC power consumption of the electrolytic cell is significantly reduced, and the standard deviation of the noise fluctuation is compressed to below 0.8mv, which verifies the breakthrough of the technical effect.

[0048] This low-energy consumption management and control method for aluminum electrolytic cells achieves precise control of key parameters of aluminum electrolytic cells and reduces DC power consumption by establishing a four-dimensional collaborative control system, implementing hierarchical dynamic control, setting special control modes and emergency mechanisms, and establishing an energy efficiency optimization evaluation system. When the DC power consumption drops below 12510kwh / t.Al and remains at this state for 24 hours, the optimal control state is reached, effectively improving the energy efficiency level of aluminum electrolysis production, reducing production costs, and improving production stability and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the process of the method of the present invention. DETAILED DESCRIPTION

[0050] The following is a further detailed description of the embodiments of the invention in conjunction with the accompanying drawings to make the objectives, technical solutions and technical effects of the invention more clearly presented.

[0051] like Figure 1 As shown, the present invention discloses a low energy consumption control method for an aluminum electrolytic cell, comprising:

[0052] (1) Establish a four-dimensional coordinated control system of electrolyte temperature, molecular ratio, aluminum level, and cell voltage, and set the first control gradient and the second control gradient, where:

[0053] The first control gradient range corresponds to the stability interval: electrolyte temperature 950-958°C, molecular ratio 2.3-2.5, aluminum level 21-25 cm, and cell voltage 3.939-3.954V.

[0054] The second control gradient range corresponds to the energy efficiency optimization range: electrolyte temperature 952-956°C, molecular ratio 2.35-2.45, aluminum level 22-24 cm, and cell voltage 3.941-3.948 V.

[0055] (2) Implement a hierarchical dynamic control mechanism and execute it in the following order of priority:

[0056] Level 1 regulation: When the aluminum level deviates from the target value by 1 cm, the aluminum output is adjusted at a rate not exceeding 1 cm / 24h.

[0057] Secondary control: When the absolute value of the molecular ratio deviation ΔY = Y actual - Y target is greater than 0.05, the temperature adaptive compensation algorithm is started:

[0058] When the actual molecular ratio is higher than the target value by more than 0.05: compensation amount = reference dose × f(T) × (ΔY / 0.1);

[0059] When the actual molecular ratio is less than 0.05 below the target value: compensation amount = reference dose × 1.3 × (ΔY / 0.12);

[0060] Where f(T) is the temperature correction factor.

[0061] Three-level regulation: adjusts the cell voltage based on a real-time thermal balance model, with a maximum adjustment rate of 10mV / 2h.

[0062] The temperature correction coefficient f(T) is determined as follows: f(T) = 0.65 + 0.05 × (952 - T) / 2, where T is the real-time electrolyte temperature in ° C.

[0063] The Golden Window control mode is activated when the following conditions are simultaneously met: the coupling coefficient K1 (temperature × (numerator ratio - 2.3) is between 2.4 and 2.6; the aluminum level change rate does not exceed 1 cm / 12 hours; and the standard deviation of the noise fluctuation is less than 0.8 mV. In the Golden Window control mode, when the actual numerator ratio exceeds the target value, the denominator parameter of the numerator ratio compensation algorithm is adjusted to 0.08; when the actual numerator ratio falls below the target value, the denominator parameter of the numerator ratio compensation algorithm is adjusted to 0.12. The cell voltage is adjusted to a fine-tuning mode, with a single adjustment of no more than 3 mV. The Golden Window control mode's primary purpose is to identify and respond to the "optimal control opportunity" for the electrolytic cell under highly stable operation. During this window, the system enables more refined management and energy optimization. By introducing the coupling coefficient K1 as the product of temperature and numerator ratio offset and combining it with the aluminum level change rate and cell voltage noise, it is possible to more accurately determine whether the electrolysis process is in an ideal state, thereby preventing the inadvertent execution of energy-efficient fine-tuning operations under unstable operating conditions. Under conventional control, when the numerator ratio is too high or too low, using the same denominator baseline value for compensation makes it difficult to adapt to the inconsistent recovery speeds of positive and negative deviations. However, by appropriately adjusting the denominator value of the compensation formula within the window period, using a smaller denominator to speed up the adjustment process when the numerator ratio is high, and maintaining a larger denominator to ensure compensation accuracy when the numerator ratio is low, the differences in reaction dynamics caused by different deviation directions are fully accounted for.

[0064] Here, the baseline dose determination in the secondary control includes: for 400kA-class electrolytic cells, the baseline dose = 25-30kg / cell / day × (1 + 0.02 × absolute value of aluminum level deviation); for 500kA-class electrolytic cells, the baseline dose is increased by 15% and multiplied by the voltage correction factor of 1.1. This allows for differentiated dose management strategies based on the electrolytic cell current level and operating status, allowing dose adjustments to adapt to both cell type differences and dynamically respond to changes in aluminum levels. Traditional control methods often use fixed doses, ignoring the differences in material response between cell types and the coupled changes in electrical energy and material. This solution sets baseline values for 400kA and 500kA-class electrolytic cells and introduces aluminum level deviation correction factors and voltage correction factors to ensure that the compensation dose is reasonable and does not result in under- or over-compensation.

[0065] To address excessive fluctuations in the molecular ratio after repeated adjustments, an emergency control mechanism has been introduced: if the molecular ratio fluctuates by more than ±0.03 after three consecutive compensations, the system automatically switches to enhanced compensation mode. At this point, the positive compensation coefficient is adjusted to 0.6, the negative compensation coefficient is adjusted to 1.4, and the cell voltage interlock protection is activated, limiting the adjustment rate to 3mV / 2h. This system automatically switches to enhanced compensation mode by detecting fluctuations above ±0.03 in the molecular ratio after adjustment, adjusting the compensation coefficient and limiting the cell voltage adjustment rate, thereby improving the system's self-healing capabilities and safety.

[0066] In order to quantify the ultimate effect of energy-saving control, provide intuitive and verifiable standards to judge whether the current control is in the optimal range, and establish an energy efficiency optimization evaluation system:

[0067] When the DC power consumption drops below 12510kwh / t.Al and remains so for 24 hours, it is determined to be the optimal control state;

[0068] Under the optimal control state, the molecular ratio-temperature-aluminum level three-dimensional equilibrium surface is automatically generated.

[0069] By establishing dual criteria for DC power consumption and duration, the system's optimization results are monitorable and repeatable. Generating a three-dimensional equilibrium surface under this state facilitates data-driven dynamic optimization decisions.

[0070] In order to solve the “response lag” problem of the high current sink during the material compensation process, the temperature correction coefficient f(T) is generated by a dynamic learning model, which executes:

[0071] (1) The standard deviation of the voltage fluctuation of the sampling tank every 2 hours δ v and the rate of change of aluminum level v Al ;

[0072] (2) Calculate the adaptive correction factor:

[0073] Where k is the tank age correlation coefficient.

[0074] Due to the large thermal inertia of high-current cells, adjustments to materials like aluminum hydroxide often experience a time lag, resulting in compensation actions failing to respond promptly to deviation changes. By introducing a function combining the number of consecutive production days, t, and the oscillation period of the cell voltage, V, over the previous hour, we achieve real-time delayed compensation for dosage, enabling compensation actions to better reflect the matching relationship between the actual material and energy requirements.

[0075] The coupling coefficient K1 is further optimized to solve the problem that the traditional golden window activation logic that relies only on temperature and molecular ratio may miss the stable state of electrical parameters. The calculation of the coupling coefficient K1 adds a voltage stability compensation term:

[0076]

[0077] where ΔV max The cell voltage extremes within 10 minutes.

[0078] By adding the 10-minute cell voltage range as a compensation factor, we can more comprehensively assess the overall stability of the cell condition, especially with stronger identification of sudden electrical disturbances. This improvement has the benefit of improving the accuracy of "golden window" identification and interference immunity, thereby preventing the optimization mechanism from being mistakenly activated in the presence of large electrical fluctuations.

[0079] During the operation of aluminum electrolytic cells, especially at high current intensities (e.g., 500kA and above), traditional voltage control strategies are usually adjusted based on static or fixed correction factors. This strategy lacks in-depth modeling of the coupling relationship between the dynamic material compensation process and the energy transfer process. Therefore, the calculation of the voltage correction factor is introduced, including:

[0080] Create the dose compensation transfer function:

[0081] Where t is the number of consecutive production days, and V is the average cell voltage in the previous hour.

[0082] The settings here can enhance the voltage control system's ability to respond to material addition timing and reaction rate; improve the coordination accuracy between material control and electronic control; reduce voltage fluctuations, and improve the overall stability and energy efficiency of the tank conditions.

[0083] This invention aims to reduce the energy consumption of aluminum electrolytic cells while ensuring stable operation of the electrolysis process. By constructing a multi-dimensional dynamic control system, it achieves coordinated management of electrolyte temperature, molecular ratio, aluminum level, and cell voltage, providing technical support for the long-term stability and efficient energy conservation of the electrolytic cell. The technical principle is based on the coupling relationship between multiple parameters in the aluminum electrolysis production process. By establishing a four-dimensional control parameter system and dividing it into two control gradients, it implements an advanced control strategy from maintaining stability to optimizing energy efficiency. At the same time, it introduces a dynamic learning mechanism, a golden window mode, and an emergency control mechanism to enhance the control system's adaptability and responsiveness.

[0084] According to the above scheme, the first control gradient is first set as the basic stability range to ensure that the aluminum electrolysis cell operates within a relatively safe and less volatile range. Its parameters include electrolyte temperature between 950-958℃, molecular ratio between 2.3-2.5, aluminum level between 21-25cm, and cell voltage between 3.939-3.954V. The second control gradient, as the energy efficiency optimization range, further narrows the control range while ensuring stability. Specifically, it is electrolyte temperature 952-956℃, molecular ratio 2.35-2.45, aluminum level 22-24cm, and cell voltage 3.941-3.948V. At this time, the system is in an energy-saving operation state.

[0085] Next, during operation, a hierarchical dynamic control mechanism is used to ensure the priority and agility of control. The first-level control is the adjustment control of the aluminum level. When the actual aluminum level deviates from the target value by 1cm, the aluminum output is adjusted daily, with a rate not exceeding 1cm / 24h, to prevent large fluctuations in the aluminum level from affecting the tank balance. The second-level control is based on the molecular ratio deviation. When the deviation exceeds ±0.05, the temperature adaptive compensation algorithm is activated: when the molecular ratio is high, the compensation amount = reference dose × f(T) × (ΔY / 0.1); when the molecular ratio is low, the compensation amount = reference dose × 1.3 × (ΔY / 0.12), where f(T) is the temperature correction coefficient. The amount of aluminum hydroxide added is dynamically adjusted according to the current temperature to improve the accuracy of compensation. The specific calculation method of the temperature correction coefficient is: 0.65 + 0.05 × (952-T) / 2, where T is the current electrolyte temperature. The higher the temperature, the lower the correction coefficient, thereby reasonably controlling the impact of temperature on compensation.

[0086] At the same time, a golden window control mode is introduced. This mode is activated when specific thermal balance and stability conditions are met, allowing for refined control to further save energy. The activation condition is that the coupling coefficient K1 = temperature × (numerator ratio - 2.3), the value should be between 2.4 and 2.6, the rate of change of the aluminum level should not exceed 1cm / 12h, and the standard deviation of the cell voltage noise fluctuation is less than 0.8mV. At this time, the system is considered to be in a highly stable state and suitable for further optimization. During the golden window period, the denominator parameter in the numerator ratio compensation algorithm will be adjusted based on whether the numerator ratio is too high or too low. When the numerator ratio is too high, the denominator is changed from 0.1 to 0.08, thereby enhancing the compensation strength and accelerating the return to the target value; when the numerator ratio is too low, the denominator remains at 0.12, maintaining high compensation accuracy. The cell voltage also enters fine-tuning mode, limiting the single adjustment amplitude to no more than 3mV to ensure voltage stability.

[0087] In practice, a 500kA electrolytic cell employed this method. Initially, the system operated within the first control gradient, with a temperature of 955°C, a molecular weight ratio of 2.4, an aluminum level of 23cm, and a cell voltage of 3.946V. Subsequently, through continuous monitoring and dynamic adjustment, the system gradually entered the second control gradient, with all parameters falling within the optimal energy efficiency range. On the seventh day of operation, the molecular weight ratio decreased slightly to 2.32, with a deviation of -0.03. While the emergency mechanism was not triggered, the system required increased regulation. The system automatically activated compensation control at 1.15 times the baseline dose and adjusted the aluminum hydroxide addition based on the voltage correction factor, returning the parameters to the target values within 48 hours. Furthermore, when the standard deviation of the cell voltage's low-frequency noise jumped close to 0.8mV, the golden window automatically closed, preventing further fluctuations caused by microcontrollers. This mechanism achieved long-term, stable, and low-energy operation.

[0088] To verify the practical application of the low-energy consumption control method for aluminum electrolytic cells described in this invention, an experimental control section was set up to compare and analyze the operating conditions of the electrolytic cells before and after the implementation of this method. The control section was divided into an experimental group and a control group. The experimental group consisted of electrolytic cells that applied the control scheme, while the control group consisted of electrolytic cells of the same scale that did not adopt this method and only used traditional fixed-value control processes. All electrolytic cells were 500kA-class and operated in the same electrolysis workshop, at a similar production line location, and using the same raw material batches to ensure consistency in the experimental environment and comparability of the data.

[0089] The experimental comparison period lasted 60 days. The first 15 days were a stable adaptation period, during which both the experimental and control groups operated in traditional conditions. The final 45 days were an algorithm intervention period, during which the experimental group initiated and implemented the low-energy management and control method of the present invention and gradually entered the golden window control mode. The control group continued to use the original manual + PID control logic. Throughout the experimental period, the stability and deviation of the four-dimensional parameters of electrolyte temperature, molecular ratio, aluminum level, and cell voltage were recorded daily. Daily DC power consumption and the frequency of anode effect were also recorded as indicators of energy consumption and process stability.

[0090] Results showed that after the experimental group entered the second control gradient and golden window control mode, aluminum level fluctuations were reduced from an average of ±1.5 cm in the control group to within ±0.6 cm. The molecular ratio stabilization time was shortened from an average of 48 hours per adjustment in the control group to within 24 hours. During the first half of the experiment, the standard deviation of the cell voltage noise in the control group remained around 1.2 mV, while the noise fluctuations in the experimental group remained stable below 0.5 mV during the golden window period, demonstrating the significant effectiveness of this method in suppressing cell voltage fluctuations and improving system stability.

[0091] In terms of energy consumption, the DC power consumption of the experimental group gradually decreased from 12,850 kwh / t·Al in the initial phase, stabilizing within the range of 12,450 to 12,500 kwh / t·Al after the 35th day of operation, and remained stable for more than 30 hours, meeting the definition of the optimal control state set forth in this invention. In contrast, the DC power consumption of the control group during the same period remained between 12,900 and 13,100 kwh / t·Al during the experiment, with significant fluctuations. The frequency of anode effects in the experimental group decreased from an initial average of 1.3 per cell per day to 0.7 per day, while the energy cost per ton of aluminum decreased by approximately 5.2%, providing effective support for continuous, stable operation and energy-saving control.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the scope of the patent application of the present invention. Any equivalent changes, equivalent replacements or modified changes within the technical spirit and principles suggested by the present invention should be included in the scope of patent protection covered by the present invention.

Claims

1. A method for controlling low energy consumption of aluminum electrolytic cells, including, characterized by: (1) Establish a four-dimensional coordinated control system of electrolyte temperature, molecular ratio, aluminum level, and cell voltage, and set the first control gradient and the second control gradient, where: The first control gradient range corresponds to the stability interval: electrolyte temperature 950-958°C, molecular ratio 2.3-2.5, aluminum level 21-25 cm, and cell voltage 3.939-3.954 V; The second control gradient range corresponds to the energy efficiency optimization range: electrolyte temperature 952-956℃, molecular ratio 2.35-2.45, aluminum level 22-24cm, cell voltage 3.941-3.948V; (2) Implement a hierarchical dynamic control mechanism and execute it in the following order of priority: Level 1 regulation: When the aluminum level deviates from the target value by 1 cm, the aluminum output is adjusted at a rate not exceeding 1 cm / 24h; Secondary control: When the absolute value of the molecular ratio deviation ΔY = Y actual - Y target is greater than 0.05, the temperature adaptive compensation algorithm is started: When the actual molecular ratio is higher than the target value by more than 0.05: compensation amount = reference dose × f(T) × (ΔY / 0.1); When the actual molecular ratio is less than 0.05 below the target value: compensation amount = reference dose × 1.3 × (ΔY / 0.12); Where f(T) is the temperature correction coefficient; Three-level regulation: adjusts the cell voltage based on a real-time thermal balance model, with a maximum adjustment rate of 10mV / 2h.

2. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: The method for determining the temperature correction coefficient f(T) is: f(T)=0.65+0.05×(952-T) / 2, where T is the real-time electrolyte temperature in °C.

3. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: The golden window control mode is activated when the following conditions are met at the same time: The value of the coupling coefficient K1 = temperature × (molecular ratio - 2.3) is between 2.4 and 2.6; The rate of change of aluminum level shall not exceed 1cm / 12h; The standard deviation of noise value fluctuation is less than 0.8mV.

4. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: Execute in golden window control mode: When the actual numerator ratio is higher than the target value, the denominator parameter of the numerator ratio compensation algorithm is adjusted to 0.08; when the actual numerator ratio is lower than the target value, the denominator parameter of the numerator ratio compensation algorithm is adjusted to 0.12; The cell voltage is adjusted to fine-tuning mode, with a single adjustment amplitude not exceeding 3mV.

5. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: The determination of the benchmark dose includes: For 400kA electrolytic cells, the reference dose = 25-30kg / cell·day × (1 + 0.02 × absolute value of aluminum level deviation); For 500kA class electrolyzers, the base dose is increased by 15% and multiplied by the voltage correction factor of 1.

1.

6. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: Set up an emergency control mechanism: When the molecular ratio fluctuation still exceeds ±0.03 after three consecutive compensations, it will automatically switch to the enhanced compensation mode. At this time: The forward compensation coefficient is adjusted to 0.6; The negative compensation coefficient is adjusted to 1.4; Activate the slot voltage interlock protection and limit the adjustment rate to 3mV / 2h.

7. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: Establish an energy efficiency optimization evaluation system: When the DC power consumption drops below 12510kwh / t.Al and remains so for 24 hours, it is determined to be the optimal control state; Under the optimal control state, the molecular ratio-temperature-aluminum level three-dimensional equilibrium surface is automatically generated.

8. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: The temperature correction coefficient f(T) is generated by a dynamic learning model that performs: (1) The standard deviation of the voltage fluctuation of the sampling tank every 2 hours δ v and the rate of change of aluminum level v Al ; (2) Calculate the adaptive correction factor: Where k is the tank age correlation coefficient.

9. The low energy consumption control method for an aluminum electrolysis cell according to claim 1, characterized in that: The calculation of the coupling coefficient K1 adds a voltage stability compensation term: where ΔV max The cell voltage extremes within 10 minutes.

10. The low energy consumption control method for an aluminum electrolysis cell according to claim 5, characterized in that: The calculation of the voltage correction factor includes: Create the dose compensation transfer function: Where t is the number of consecutive production days and V is the average cell voltage over the previous hour. The oscillation period function is used to solve the hysteresis problem of high current cell dosage adjustment.

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