A method, system, electronic device and readable storage medium for recommending operating parameters of an aluminum electrolysis cell

Abstract

The present application relates to the technical field of electrolytic aluminum, and discloses a method and system for recommending operation parameters of an aluminum electrolysis cell and an electronic device. The method obtains the current state, the historical state and the historical recommendation information of the aluminum electrolysis cell through a cell controller database. If the current state and the historical state are different and the historical state belongs to a state type to be adjusted, the current operation parameters of the aluminum electrolysis cell in the current time period are set according to preset reference parameters. Meanwhile, the historical recommended parameters are corrected according to the current state, and the corrected historical recommended parameters are used as the current recommended parameters. A parameter recommendation instruction containing the current recommended parameters is generated. Compared with controlling the operation parameters of the aluminum electrolysis cell by the experience of an operator, the method realizes the automatic recommendation of the operation parameters of the aluminum electrolysis cell, forms a unified and standardized parameter recommendation system, ensures the stable operation state of the aluminum electrolysis cell, and thus improves the production efficiency.

Description

Technical Field

[0001] This invention relates to the field of aluminum electrolysis technology, and in particular to a method, system, electronic device, and readable storage medium for recommending operating parameters for aluminum electrolysis cells. Background Technology

[0002] In the aluminum electrolysis industry, to improve the utilization rate of current efficiency in aluminum electrolysis cells and implement stable control, it is essential to maintain the control of material and energy balance within the cells. This involves real-time coordinated control of both "material balance" and "energy balance." Material balance refers to the mass of materials added to the electrolysis cell and the existing electrolyte and aluminum liquid quantity = minimum required consumption of raw materials such as alumina, aluminum fluoride, and anodes + existing electrolyte and aluminum liquid quantity. Energy balance refers to energy input = chemical energy used for effective aluminum reduction + minimum heat loss, i.e., no change in superheat. Based on the requirements of material and energy balance, electrolysis cells trending towards cooling or heating must be promptly addressed and controlled. For cold cells, the control method is to reduce the excess concentration of aluminum fluoride in the electrolyte solution, increase the primary crystallization temperature, and increase the cell operating voltage to increase the electrolyte temperature. At this time, the current efficiency of the electrolysis cell decreases slightly, so the amount of alumina added should be reduced during this stage; reducing the amount of aluminum produced in the cell reduces heat loss and increases the electrolyte temperature, thus increasing superheat. As the temperature increases, the walls of the electrolytic cell become thinner, and heat loss gradually increases, leading to a new material and energy balance in the electrolytic cell. For hot cells, the control methods include increasing the excess concentration of aluminum fluoride in the electrolyte solution to lower the primary crystallization temperature, reducing the cell's operating voltage to lower the electrolyte temperature, and increasing the amount of aluminum produced in the cell to further increase heat loss and lower the electrolyte temperature. At this point, the superheat decreases, and the current efficiency of the electrolytic cell increases. Therefore, the amount of alumina added should be increased to thicken the walls of the electrolytic cell, gradually reducing heat loss and allowing the electrolytic cell to reach a new material and energy balance.

[0003] Currently, aluminum electrolytic cells have numerous operating parameters that need to be adjusted appropriately to stabilize them in normal operation, thereby ensuring stable operation and production efficiency. However, existing control methods for aluminum electrolytic cells rely on the experience of control personnel, making it difficult to establish a unified and standardized parameter recommendation system. This leads to unstable operating conditions of the aluminum electrolytic cells and affects production efficiency. Summary of the Invention

[0004] To provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended as a general commentary, nor is it intended to identify key / important components or describe the scope of protection of these embodiments, but rather as a prelude to the detailed description that follows.

[0005] In view of the shortcomings of the prior art described above, the present invention discloses a method, system, electronic device and readable storage medium for recommending operating parameters for aluminum electrolytic cells, so as to realize the automatic recommendation of operating parameters for aluminum electrolytic cells, thereby ensuring the stable operation of aluminum electrolytic cells.

[0006] This invention discloses a method for recommending operating parameters for aluminum electrolytic cells, applied on a server-side platform. The server-side platform is connected to a cell control machine database corresponding to the aluminum electrolytic cell. The method includes: pre-determining the type of state to be adjusted from multiple operating states of the aluminum electrolytic cell, and constructing parameter recommendation rules for each operating state, wherein the operating state is determined based on the heating and cooling trend of the aluminum electrolytic cell; obtaining the current state of the aluminum electrolytic cell in the current time period through the cell control machine database, and obtaining the historical state and historical recommended parameters of the aluminum electrolytic cell in a historical time period, wherein the current state and the historical state are each one of the operating states; if the current state and the historical state are different operating states, and the historical state belongs to the type of state to be adjusted, then setting the current operating parameters of the aluminum electrolytic cell in the current time period according to preset benchmark parameters; correcting the historical recommended parameters according to the parameter recommendation rules corresponding to the current state, and using the corrected historical recommended parameters as the current recommended parameters, generating a parameter recommendation instruction containing the current recommended parameters, wherein the recommendation instruction is used to set the current operating parameters of the aluminum electrolytic cell in the current time period according to the current recommended parameters.

[0007] This invention discloses an operating parameter recommendation system for aluminum electrolytic cells, comprising: a cell control machine database connected to a server; the server being used to determine multiple operating states of the aluminum electrolytic cell based on its heating and cooling trends, and to determine a state type to be adjusted from each of the operating states; obtaining the current state of the aluminum electrolytic cell in the current time period through the cell control machine database, and obtaining the historical state and historical recommended parameters of the aluminum electrolytic cell in a historical time period, wherein the current state and the historical state are each one of the operating states; if the current state and the historical state are different operating states, and the historical state belongs to the state type to be adjusted, then setting the current operating parameters of the aluminum electrolytic cell in the current time period according to preset benchmark parameters; correcting the historical recommended parameters according to the parameter recommendation rules corresponding to the current state, and using the corrected historical recommended parameters as the current recommended parameters, generating a parameter recommendation instruction containing the current recommended parameters, wherein the recommendation instruction is used to set the current operating parameters of the aluminum electrolytic cell in the current time period according to the current recommended parameters.

[0008] The present invention discloses an electronic device, comprising: a processor and a memory; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to cause the electronic device to perform the above-described method.

[0009] The beneficial effects of this invention are:

[0010] The system retrieves the current, historical, and recommended states of the aluminum electrolysis cell from the cell control machine database. If the current and historical states differ, and the historical state is classified as an "adjustment-pending" state, the system sets the current operating parameters of the aluminum electrolysis cell for the current time period based on preset benchmark parameters. Simultaneously, it corrects the historical recommended parameters based on the current state and uses these corrected historical recommended parameters as the current recommended parameters, generating a parameter recommendation instruction containing the current recommended parameters. This approach, compared to controlling the operating parameters of the aluminum electrolysis cell based on operator experience, uses the comparison between the current and historical states, and whether the historical state belongs to an "adjustment-pending" state type, to determine if a transition has occurred in the operating state of the aluminum electrolysis cell. After a transition, the operating parameters are backtracked, and the historical recommended parameters are corrected based on the current state to stabilize the current state (which is classified as an "adjustment-pending" state). This achieves automated recommendation of operating parameters for the aluminum electrolysis cell, forming a unified and standardized parameter recommendation system that ensures stable operation and improves production efficiency. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the structure of an application environment for implementing a method for recommending operating parameters for aluminum electrolytic cells, according to an embodiment of the present invention.

[0012] Figure 2 This is a flowchart illustrating a method for recommending operating parameters for an aluminum electrolytic cell in an embodiment of the present invention.

[0013] Figure 3 This is a flowchart illustrating another method for recommending operating parameters for aluminum electrolytic cells in an embodiment of the present invention;

[0014] Figure 4 This is a schematic diagram of the structure of an operating parameter recommendation system for an aluminum electrolytic cell in an embodiment of the present invention;

[0015] Figure 5 This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0016] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and sub-samples in the embodiments can be combined with each other.

[0017] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0018] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0019] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this disclosure described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0020] Unless otherwise stated, the term "multiple" means two or more.

[0021] In this embodiment of the disclosure, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.

[0022] The term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.

[0023] Before providing a further detailed description of the embodiments of the present invention, the nouns and terms involved in the embodiments of the present invention will be explained, and the nouns and terms involved in the embodiments of the present invention shall be interpreted as follows.

[0024] Aluminum electrolytic cell: The core equipment in aluminum electrolytic production. Its working principle involves placing raw materials such as alumina, cryolite, and sodium fluoride into the electrolytic cell. Through the action of direct current, the raw materials undergo an electrochemical reaction, reducing alumina to aluminum and oxygen. The aluminum electrolytic cell mainly consists of the cell body, anode, cathode, and electrolyte. The cell body is the main load-bearing component and requires excellent insulation and sealing performance. The anode, made of carbon material, serves to transmit current and facilitate the reaction. The cathode, divided into consumable and non-consumable cathodes, is an important part of the aluminum electrolytic cell. The electrolyte is a mixture of aluminum ions and raw materials such as sodium fluoride, which also serves to transmit current and facilitate the reaction.

[0025] Cell Control Unit (CCU): A miniature controller with digital and digital input / output processing capabilities, it is the core equipment for controlling the aluminum electrolysis production process. Based on a single-chip microcomputer-based real-time online controller, the CCU primarily receives instructions from the upstream central processing unit (CPU) to perform operations such as shell breaking, material feeding, anode lifting, and effect processing. It also processes cell status information and sends it back to the CPU. The CCU's input channels can acquire the cell voltage and current, accept various manual signals for process operations from the touch switch panel, and various detection signals. Its output channels include anode lifting signals to maintain energy balance in the electrolytic cell, shell breaking and material feeding signals to maintain material balance, and effect lamp and alarm signals. The CCU uses intelligent fuzzy control software to perform various control functions for the production process.

[0026] Combination Figure 1 As shown in the embodiments of this disclosure, an application environment is provided for implementing a method for recommending operating parameters for aluminum electrolytic cells, including a server side and a device side, wherein the server side interacts with the device side via a network.

[0027] The server-side configuration includes a parameter recommendation model for aluminum electrolysis cells. This model is used to achieve at least one of the following: determining multiple operating states of the aluminum electrolysis cells based on their heating and cooling trends, and identifying the type of state to be adjusted from each operating state; obtaining the current state of the aluminum electrolysis cells in the current time period from the cell control machine database, and obtaining the historical states and historical recommended parameters of the aluminum electrolysis cells in historical time periods, where the current state and historical state are each one of the various operating states; if the current state and historical state are different operating states, and the historical state belongs to the type of state to be adjusted, then setting the current operating parameters of the aluminum electrolysis cells in the current time period according to preset benchmark parameters; correcting the historical recommended parameters according to the parameter recommendation rules corresponding to the current state, and using the corrected historical recommended parameters as the current recommended parameters, generating a parameter recommendation instruction containing the current recommended parameters, whereby the recommendation instruction is used to set the current operating parameters of the aluminum electrolysis cells in the current time period based on the current recommended parameters.

[0028] In some embodiments, the server recommends current parameters to the user daily in the form of parameter recommendation instructions.

[0029] In some embodiments, the current day is used as the current time period, and the day before the current day is used as the historical time period.

[0030] In some embodiments, the current day is used as the current time period, and the two days prior to the current day are used as the historical time period.

[0031] The equipment includes aluminum electrolytic cells and cell control machines. The cell control machines are equipped with a cell control machine database, which is used to store the operating data of the aluminum electrolytic cells.

[0032] Combination Figure 2 As shown in the embodiments of this disclosure, a method for recommending operating parameters for aluminum electrolysis cells is provided, including:

[0033] Step S201: Pre-determine the type of state to be adjusted from multiple operating states of the aluminum electrolytic cell, and construct parameter recommendation rules for each operating state.

[0034] The operating status is determined based on the heating and cooling trends of the aluminum electrolysis cell;

[0035] Step S202: Obtain the current status of the aluminum electrolytic cell in the current time period through the cell control machine database, and obtain the historical status and historical recommended parameters of the aluminum electrolytic cell in historical time periods;

[0036] Among them, the current state and the historical state are each one of the various operating states;

[0037] Step S203: If the current state and the historical state are different operating states, and the historical state belongs to the state type to be adjusted, then set the current operating parameters of the aluminum electrolysis cell in the current time period according to the preset benchmark parameters.

[0038] Step S204: Correct the historical recommended parameters according to the parameter recommendation rules corresponding to the current state, and use the corrected historical recommended parameters as the current recommended parameters to generate a parameter recommendation instruction containing the current recommended parameters;

[0039] The recommended instruction is used to set the current operating parameters of the aluminum electrolysis cell for the current time period based on the currently recommended parameters.

[0040] The method for recommending operating parameters for aluminum electrolytic cells provided in this disclosure obtains the current state, historical state, and historical recommendation information of the aluminum electrolytic cell from the cell control machine database. If the current state and historical state are different, and the historical state belongs to the type of state to be adjusted, the current operating parameters of the aluminum electrolytic cell in the current time period are set according to preset benchmark parameters. At the same time, the historical recommended parameters are corrected according to the current state, and the corrected historical recommended parameters are used as the current recommended parameters, generating a parameter recommendation instruction containing the current recommended parameters. In this way, compared with controlling the operating parameters of the aluminum electrolytic cell through the experience of the operator, the comparison between the current state and the historical state, and whether the historical state belongs to the type of state to be adjusted, determines whether the operating state of the aluminum electrolytic cell has transitioned. After a transition, the operating parameters are backtracked, and the historical recommended parameters are corrected according to the current state to stabilize the current state belonging to the type of state to be adjusted. This achieves automated recommendation of operating parameters for the aluminum electrolytic cell, forming a unified and standardized parameter recommendation system, ensuring the stability of the operating state of the aluminum electrolytic cell, and thus improving production efficiency.

[0041] Optionally, the type of state to be adjusted is determined from multiple operating states of the aluminum electrolytic cell, including: classifying the operating state of the aluminum electrolytic cell into at least a portion of normal cell state, heating cell state, cooling cell state and disordered cell state according to the heating and cooling trend of the aluminum electrolytic cell; determining the normal cell state as a stable state type, and determining at least a portion of the heating cell state, cooling cell state and disordered cell state as the type of state to be adjusted.

[0042] In some embodiments, when the energy input of the electrolyzer is less than the energy output, the electrolyzer will enter a cooling state. This is typically manifested as a decrease in electrolysis temperature, poorer electrolyte fluidity, and obstructed anode gas discharge. This may be caused by insufficient power supply, a decrease in current, or an excessively low cell voltage (too low electrode gap). The electrolyte temperature is usually the primary parameter used to determine whether the electrolyzer is in a cooling state.

[0043] In some embodiments, when the energy input of the electrolytic cell exceeds the energy output, the electrolytic cell will move towards a heating state. This is typically manifested as an increase in electrolysis temperature, increased electrolyte fluidity, and increased aluminum solubility. This may be caused by factors such as maintaining an excessively high electrode distance, increased electrolyte resistance voltage drop, and intensified secondary reactions. The electrolyte temperature and pressure are usually the main parameters used to determine whether the electrolytic cell is in a heating state.

[0044] In some embodiments, a disordered cell state refers to an unstable state of the electrolytic cell, characterized by uneven current distribution, large temperature fluctuations, and disruption of material balance. This may be caused by factors such as series of current fluctuations, improper operation of the electrolytic cell, or excessive addition of additives.

[0045] Optionally, the method further includes: collecting operating data of aluminum electrolytic cells from the cell control machine database according to a preset cycle, wherein the operating data includes one or more of the following: operating voltage, operating current, raw material input, noise level, voltage deviation, cell temperature, current efficiency, aluminum output, and operating status; determining one or more data to be processed from the operating data, and performing data preprocessing on the data to be processed, wherein the data preprocessing includes one or more of the following: deleting outliers, filling in missing values, and data normalization.

[0046] In some embodiments, a database is deployed on the server side and connected to the database of the cell control machine of the aluminum electrolysis cell to obtain 182 days of historical operating data of the cell control machine in real time. The operating data collected based on the experimental results of model iteration includes the operating status of the day, the operating status of the previous day, the operating status of the day before yesterday, the noise level of the day, the voltage deviation of the day, the cell temperature of the day, the cell temperature of the previous day, the current efficiency of the day, the theoretical aluminum output of the day, the actual aluminum output of the day, the operating voltage of the day, the operating current of the day, and the raw material input of the day.

[0047] In some embodiments, if there are null values ​​in the operation data of a certain day, the nearest non-null value corresponding to the null value is queried backward in time order, and the control is filled according to the queried non-null value; if no non-null value is found forward in time order, the nearest non-null value corresponding to the null value is queried backward in time order, and the null value is filled according to the queried non-null value.

[0048] In some embodiments, the preset reference parameters include a reference value for the operating voltage and a reference value for the amount of raw materials input.

[0049] In some embodiments, if the current state is a disordered cell state, and the previous two days' historical states include a heating cell state or a cooling cell state, it indicates that when the aluminum electrolysis cell was in a heating cell state or a cooling cell state, the recommended parameters caused a jump in the operating state of the aluminum electrolysis cell. It is necessary to control the operating voltage and raw material input of the aluminum electrolysis cell at preset benchmark parameters in order to trace back to the previous historical recommended parameters.

[0050] In some embodiments, if the current state is a cooling cell state, and the historical states include a heating cell state or a disordered cell state, then similarly, the operating voltage and raw material input of the aluminum electrolysis cell need to be controlled at preset benchmark parameters in order to trace back to the previously recommended parameters.

[0051] In some embodiments, if the current state is a heating cell state, and the historical states include a cooling cell state or a disordered cell state, then similarly, the operating voltage and raw material input of the aluminum electrolysis cell need to be controlled at preset benchmark parameters in order to trace back to the previously recommended parameters.

[0052] Optionally, the historical recommended parameters are corrected according to the parameter recommendation rules corresponding to the current state. This includes: the historical recommended parameters include the operating voltage and / or raw material input of the aluminum electrolytic cell during a historical period; if the current state is a state to be adjusted, the operating voltage and / or raw material input of the aluminum electrolytic cell during a historical period are corrected based on the current state to obtain the current recommended parameters. The current recommended parameters are used to control the aluminum electrolytic cell to switch from an operating state belonging to the state to be adjusted to a normal cell state.

[0053] Optionally, historical recommended parameters include operating voltage and / or raw material input.

[0054] In some embodiments, the amount of raw material input specifically refers to the amount of aluminum fluoride fed into the system.

[0055] Optionally, the historical recommended parameters can be corrected according to the parameter recommendation rules corresponding to the current state, including: if the current state is a cooling tank state, then increase the recommended voltage in the historical recommended parameters, and / or decrease the raw material input amount in the historical recommended parameters.

[0056] In some embodiments, if the operating state of the aluminum electrolytic cell is switched from a cooling cell state to a normal cell state, the state adjustment parameters further include: adjusting the electrode spacing: appropriately increasing the electrode spacing increases the voltage of the electrolytic cell, thereby increasing the electrolysis temperature and anode effect coefficient, and increasing the heat input of the electrolytic cell; appropriately increasing the current, where the power supply system allows, increases the energy input of the electrolytic cell, thereby accelerating the electrolysis reaction rate and increasing heat input; improving the fluidity, conductivity, and reactivity of the electrolyte by adding appropriate amounts of additives such as alumina and fluoride salts, thereby improving the operating efficiency of the electrolytic cell; reducing heat loss and improving the energy utilization rate of the electrolytic cell by strengthening the insulation measures of the electrolytic cell; optimizing the operating state of the electrolytic cell by adjusting the operating parameters of the electrolytic cell, such as aluminum output and anode replacement cycle; improving the operating stability of the electrolytic cell by checking and repairing equipment faults, such as cell leakage and poor electrode contact; and improving the operating efficiency and stability of the electrolytic cell by adopting advanced technologies and equipment, such as intelligent control and new electrode materials.

[0057] Optionally, the historical recommended parameters can be corrected according to the parameter recommendation rules corresponding to the current state, including: if the current state is a heated tank state, then the recommended voltage in the historical recommended parameters can be reduced, and / or the raw material input amount in the historical recommended parameters can be increased.

[0058] In some embodiments, if the operating state of the aluminum electrolytic cell is switched from a heated cell state to a normal cell state, the state adjustment parameters further include: reducing the electrode gap: appropriately reducing the electrode gap reduces the voltage of the electrolytic cell, thereby reducing the electrolysis temperature and the anode effect coefficient, and reducing the heat input of the electrolytic cell; reducing the current: appropriately reducing the current, where the power supply system allows, reduces the energy input of the electrolytic cell, thereby slowing down the electrolysis reaction rate and reducing heat input; adjusting the electrolyte composition: by reducing the amount of alumina added, the proportion of each component in the electrolyte is adjusted, improving the physical properties and reactivity of the electrolyte, thereby reducing the heat input of the electrolytic cell; strengthening the dissipation... Thermal measures: By enhancing heat dissipation in the electrolytic cell, the temperature of the electrolytic cell can be reduced by increasing heat loss. For example, this can be achieved by improving ventilation and increasing the number and efficiency of heat sinks. Adjusting operating parameters: By adjusting operating parameters such as aluminum output and anode replacement cycle, the operating status of the electrolytic cell can be optimized. Inspecting and repairing equipment malfunctions: By inspecting and repairing equipment malfunctions in the electrolytic cell, such as leaks or poor electrode contact, the operational stability of the electrolytic cell can be improved. Adopting advanced technologies and equipment: By adopting advanced technologies and equipment, such as intelligent control and new electrode materials, the operating efficiency and stability of the electrolytic cell can be improved.

[0059] Optionally, the historical recommended parameters are corrected according to the parameter recommendation rules corresponding to the current state, including: if the current state is a disordered cell state, the noise level and / or voltage deviation value of the aluminum electrolysis cell in the current time period is obtained through the cell control machine database; if the noise level of the aluminum electrolysis cell in the current time period is greater than a preset noise level threshold, the recommended voltage in the historical recommended parameters is reduced according to the noise level of the aluminum electrolysis cell in the current time period; if the voltage deviation value of the aluminum electrolysis cell in the current time period is greater than a preset voltage deviation threshold, the raw material input amount in the historical recommended parameters is reduced according to the voltage deviation value of the aluminum electrolysis cell in the current time period.

[0060] In some embodiments, the operating state of the aluminum electrolysis cell is switched from a disordered cell state to a normal cell state. The state adjustment parameters also include: if the cell's noise level is abnormally high or unstable, this may indicate uneven current distribution in the electrolysis cell, excessively vigorous reactions, excessively high aluminum ion concentration in the electrolyte, or excessively close distance between the cathode and anode; voltage deviation refers to the difference between the actual operating voltage and the set voltage of the electrolysis cell. A high voltage deviation may indicate uneven current distribution or excessively vigorous reactions in the electrolysis cell; based on the observed noise level and voltage deviation, adjustments can be made accordingly. When adjusting the current and voltage of the electrolytic cell to bring them back to normal range, if the noise level is high, try reducing the current or voltage to decrease the reaction intensity in the electrolytic cell. You can also change the current distribution by adjusting the distance between the cathode and anode. If the voltage deviation is high, it may be due to an excessively high concentration of aluminum ions in the electrolyte. Monitor the concentration of aluminum ions and other components in the electrolyte and adjust the amount of electrolyte added as needed. To maintain stable operation of the electrolytic cell, regular maintenance and upkeep are required, such as regularly cleaning sediment from the electrolyte, checking the wear of the cathode and anode, and conducting regular overhauls of the electrolytic cell.

[0061] Optionally, the modification of historical recommended parameters based on the parameter recommendation rules corresponding to the current state further includes: if the current state and the historical state are different operating states, and the current state is a normal cell state, then the preset benchmark parameters are used as the current recommended parameters; if both the current state and the historical state are normal cell states, then multiple efficiency levels corresponding to the aluminum electrolytic cell and the level parameters corresponding to each efficiency level are obtained, wherein the efficiency level is determined based on the current efficiency of the aluminum electrolytic cell; the current level of the aluminum electrolytic cell in the current time period is determined from each efficiency level, and a target level is determined from each efficiency level based on the current level, wherein the current efficiency corresponding to the target level is greater than the current efficiency corresponding to the current level; and the historical recommended parameters are modified based on the level parameters corresponding to the target level.

[0062] In some embodiments, if both the current state and the historical state are normal cell states, the operating parameters of the aluminum electrolysis cell are adjusted to a higher level of current efficiency, thereby achieving a higher aluminum output.

[0063] Optionally, the method further includes: obtaining multiple historical output data of aluminum electrolytic cells through a cell control machine database, wherein the historical output data includes at least cell temperature and current efficiency; based on feature engineering, performing feature derivation based on the difference between adjacent historical output data to obtain derived feature data, and generating a training dataset based on the historical output data and derived feature data; fitting the training dataset using regularization to obtain a regression equation between historical cell temperature and historical current efficiency, and optimizing the regression equation based on cross-validation; obtaining the cell temperature of the aluminum electrolytic cell in the current time period through the cell control machine database; matching the current efficiency of the aluminum electrolytic cell in the current time period from the regression equation based on the cell temperature of the aluminum electrolytic cell in the current time period; calculating the predicted aluminum output based on the current efficiency of the aluminum electrolytic cell in the current time period, and adding the predicted aluminum output to the current recommended parameters.

[0064] In some embodiments, derived features are part of feature engineering, which focuses on extracting meaningful new features from the original data. This is usually achieved by transforming, combining, or crossing basic features, such as scaling numerical features or one-hot encoding categorical variables.

[0065] In some embodiments, feature engineering refers to using existing data to derive more stable and effective features through certain means for modeling purposes.

[0066] In some embodiments, regularization is a commonly used method in machine learning designed to prevent overfitting and improve the model's generalization ability. Regularization constrains the model's complexity by adding a penalty term to the loss function.

[0067] In some embodiments, cross-validation is a commonly used model evaluation method, primarily used in machine learning and data mining. Its basic idea is to divide the original data into several parts, and then use one part as the test set and the remaining parts as the training set for each training and testing of the model. Common cross-validation methods include k-fold cross-validation, leave-one-out cross-validation, and bootstrap cross-validation.

[0068] Optionally, the method further includes: pre-setting a timed task; and updating the regression equation based on historical output data collected from the tank control machine database in response to the timed task.

[0069] In some embodiments, the scheduled task is set to respond once a day.

[0070] Optionally, after obtaining the current status of the aluminum electrolytic cell in the current time period through the cell control machine database, and obtaining the historical status and historical recommended parameters of the aluminum electrolytic cell in a historical time period, the method further includes: if the historical recommended parameters of the aluminum electrolytic cell in the historical time period are default data, then matching the preset initial operating parameters according to the current status and the historical status; using the matched initial operating parameters as the current recommended parameters, and generating a parameter recommendation instruction containing the current recommended parameters.

[0071] In some embodiments, the recommendation model has just been deployed on the server and lacks parameter recommendation instructions for aluminum electrolysis cells under historical conditions. Therefore, the preset initial operating parameters are matched according to the current state and historical state to recommend the initial operating parameters as the current recommended parameters.

[0072] Combination Figure 3 As shown in the embodiments of this disclosure, a method for recommending operating parameters for aluminum electrolysis cells is provided, including:

[0073] Step S301: Connect to the database of the cell control machine corresponding to the aluminum electrolysis cell;

[0074] Step S302: Collect the operating data of the aluminum electrolysis cell through the cell control machine database according to a preset cycle;

[0075] The operating data includes one or more of the following: operating voltage, operating current, raw material input, noise level, voltage deviation, cell temperature, current efficiency, aluminum output, and operating status.

[0076] The operating states include normal tank state, heating tank state, cooling tank state and disordered tank state. The normal tank state is determined as a stable state type, and at least a portion of the heating tank state, cooling tank state and disordered tank state are determined as state types to be adjusted.

[0077] Step S303: Obtain the running data for the current time period and the running data for the historical time period respectively, and then proceed to steps S304 and S310 respectively;

[0078] Step S304: Based on the comparison between the current state and the historical state, and whether the historical state belongs to the state type to be adjusted, determine whether the operating state of the aluminum electrolysis cell has changed. If yes, proceed to step S305; otherwise, proceed to step S306.

[0079] Step S305: Set the current operating parameters of the aluminum electrolysis cell in the current time period according to the preset benchmark parameters, and then proceed to step S306.

[0080] Step S306: Determine whether the current state belongs to the state type to be adjusted. If yes, proceed to step S307; otherwise, proceed to step S308.

[0081] Step S307: Correct the historical recommended parameters according to the parameter recommendation rules corresponding to the current state, and proceed to step S309;

[0082] Among them, the currently recommended parameters corresponding to the state type to be adjusted are used to control the aluminum electrolysis cell to switch from the operating state belonging to the state type to the normal cell state.

[0083] Step S308: Obtain the current level and target level of the aluminum electrolysis cell in the current time period, and correct the historical recommended parameters according to the level parameters corresponding to the target level, then proceed to step S309.

[0084] Step S309: Use the corrected historical recommendation parameters as the current recommendation parameters, and proceed to step S312;

[0085] Step S310: Based on the cell temperature value of the aluminum electrolytic cell in the current time period, the current efficiency of the aluminum electrolytic cell in the current time period is obtained by matching the regression equation.

[0086] Step S311: Calculate the predicted aluminum output based on the current efficiency of the aluminum electrolysis cell in the current time period, add the predicted aluminum output to the current recommended parameters, and then proceed to step S312.

[0087] Step S312: Generate a parameter recommendation instruction containing the current recommended parameters and display the parameter recommendation instruction to the user;

[0088] The recommended instruction is used to set the current operating parameters of the aluminum electrolysis cell for the current time period based on the currently recommended parameters.

[0089] The method for recommending operating parameters for aluminum electrolytic cells provided in this disclosure obtains the current state, historical state, and historical recommendation information of the aluminum electrolytic cell from the cell control machine database. If the current state and historical state are different, and the historical state belongs to the type of state to be adjusted, the current operating parameters of the aluminum electrolytic cell in the current time period are set according to preset benchmark parameters. At the same time, the historical recommended parameters are corrected according to the current state, and the corrected historical recommended parameters are used as the current recommended parameters, generating a parameter recommendation instruction containing the current recommended parameters. In this way, compared with controlling the operating parameters of the aluminum electrolytic cell through the experience of the operator, the comparison between the current state and the historical state, and whether the historical state belongs to the type of state to be adjusted, determines whether the operating state of the aluminum electrolytic cell has transitioned. After a transition, the operating parameters are backtracked, and the historical recommended parameters are corrected according to the current state to stabilize the current state belonging to the type of state to be adjusted. This achieves automated recommendation of operating parameters for the aluminum electrolytic cell, forming a unified and standardized parameter recommendation system, ensuring the stability of the operating state of the aluminum electrolytic cell, and thus improving production efficiency.

[0090] Combination Figure 4 As shown, this embodiment of the present disclosure provides an operating parameter recommendation system for aluminum electrolytic cells, characterized in that it includes a cell control machine database 401 and a server 402.

[0091] The tank control machine database 401 connects to the server.

[0092] Server 402 is used to determine multiple operating states of the aluminum electrolytic cell based on its heating and cooling trends, and to identify the type of state to be adjusted from each operating state. It retrieves the current state of the aluminum electrolytic cell in the current time period from the cell control machine database, and also retrieves the historical state and recommended parameters of the aluminum electrolytic cell in historical time periods, where the current state and historical state are each one of the various operating states. If the current state and historical state are different operating states, and the historical state belongs to the type of state to be adjusted, then the current operating parameters of the aluminum electrolytic cell in the current time period are set according to preset benchmark parameters. The historical recommended parameters are corrected according to the parameter recommendation rules corresponding to the current state, and the corrected historical recommended parameters are used as the current recommended parameters. A parameter recommendation instruction containing the current recommended parameters is generated, whereby the recommendation instruction is used to set the current operating parameters of the aluminum electrolytic cell in the current time period based on the current recommended parameters.

[0093] The operating parameter recommendation system for aluminum electrolytic cells provided in this embodiment obtains the current state, historical state, and historical recommendation information of the aluminum electrolytic cell from the cell control machine database. If the current state and historical state are different, and the historical state belongs to the type of state to be adjusted, the current operating parameters of the aluminum electrolytic cell in the current time period are set according to preset benchmark parameters. At the same time, the historical recommended parameters are corrected according to the current state, and the corrected historical recommended parameters are used as the current recommended parameters, generating a parameter recommendation instruction containing the current recommended parameters. In this way, compared with controlling the operating parameters of the aluminum electrolytic cell through the experience of the operator, the comparison between the current state and the historical state, and whether the historical state belongs to the type of state to be adjusted, determines whether the operating state of the aluminum electrolytic cell has transitioned. After a transition, the operating parameters are backtracked, and the historical recommended parameters are corrected according to the current state to stabilize the current state belonging to the type of state to be adjusted. This achieves automated recommendation of operating parameters for the aluminum electrolytic cell, forming a unified and standardized parameter recommendation system, ensuring the stability of the operating state of the aluminum electrolytic cell, and thus improving production efficiency.

[0094] This disclosure also provides an electronic device, including: a processor and a memory; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to cause the electronic device to perform the method described above.

[0095] Figure 5A schematic diagram of a computer system suitable for implementing the embodiments of this application is shown. It should be noted that... Figure 5 The computer system 500 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0096] like Figure 5 As shown, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes, such as executing the methods described in the above embodiments, based on programs stored in Read-Only Memory (ROM) 502 or programs loaded from storage portion 508 into Random Access Memory (RAM) 503. 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.

[0097] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. Drive 150 is also connected to I / O interface 505 as needed. Removable media 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 150 as needed so that computer programs read from them can be installed into storage section 508 as needed.

[0098] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program 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 various functions defined in the system of this application.

[0099] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0100] The electronic device disclosed in this embodiment includes a processor, a memory, a transceiver, and a communication interface. The memory and the communication interface are connected to the processor and the transceiver and complete communication between them. The memory is used to store computer programs, the communication interface is used to perform communication, and the processor and the transceiver are used to run the computer programs, so that the electronic device performs the various steps of the above method.

[0101] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, 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 device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0102] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and subsamples of some embodiments may be included in or replace parts and subsamples of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used herein means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated subsamples, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other subsamples, wholes, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprising a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes the element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0103] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0104] The methods and products (including but not limited to devices and equipment) disclosed in the embodiments herein can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For instance, the division of units may be merely a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some sub-samples may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms. Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected to implement this embodiment according to actual needs. Furthermore, the functional units in the embodiments of this disclosure may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0105] 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 embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A method for recommending operating parameters for aluminum electrolytic cells, characterized in that, Applied to a server-side application, wherein the server-side is connected to a database of cell control machines corresponding to the aluminum electrolysis cell, the method includes: The type of state to be adjusted is determined in advance from multiple operating states of the aluminum electrolytic cell, and parameter recommendation rules corresponding to each operating state are constructed, wherein the operating state is determined based on the heating and cooling trend of the aluminum electrolytic cell; Determining the type of state to be adjusted from multiple operating states of the aluminum electrolytic cell includes: classifying the operating states of the aluminum electrolytic cell into at least a portion of normal cell state, heating cell state, cooling cell state, and disordered cell state based on the heating and cooling trends of the aluminum electrolytic cell; determining the normal cell state as a stable state type; and determining at least a portion of the heating cell state, cooling cell state, and disordered cell state as the type of state to be adjusted. The current state of the aluminum electrolytic cell in the current time period is obtained through the cell control machine database, and the historical state and historical recommended parameters of the aluminum electrolytic cell in the historical time period are obtained, wherein the current state and the historical state are one of the various operating states; The historical recommended parameters include operating voltage and raw material input. If the current state and the historical state are different operating states, and the historical state belongs to the state type to be adjusted, then the current operating parameters of the aluminum electrolysis cell in the current time period are first set according to the preset benchmark parameters. The preset reference parameters include the reference value of the operating voltage and the reference value of the raw material input. Then, the historical recommended parameters are corrected according to the parameter recommendation rules corresponding to the current state, and the corrected historical recommended parameters are used as the current recommended parameters to generate a parameter recommendation instruction containing the current recommended parameters. The recommendation instruction is used to set the current operating parameters of the aluminum electrolysis cell in the current time period according to the current recommended parameters.

2. The method according to claim 1, characterized in that, The method further includes: The operating data of the aluminum electrolysis cell is collected by the cell control machine database according to a preset cycle. The operating data includes one or more of the following: operating voltage, operating current, raw material input, noise level, voltage deviation, cell temperature, current efficiency, aluminum output, and operating status. One or more data to be processed are determined from the running data, and the data to be processed is preprocessed, wherein the data preprocessing includes one or more of deleting outliers, filling in missing values, and data normalization.

3. The method according to claim 2, characterized in that, The historical recommended parameters are corrected according to the parameter recommendation rules corresponding to the current state, including: If the current state is the cooling tank state, then increase the recommended voltage in the historical recommended parameters, and / or decrease the raw material input in the historical recommended parameters; If the current state is a heat-seeking tank state, then reduce the recommended voltage in the historical recommended parameters, and / or increase the raw material input in the historical recommended parameters; If the current state is a disordered cell state, the noise level and / or voltage deviation of the aluminum electrolysis cell in the current time period are obtained through the cell control machine database. If the noise level of the aluminum electrolytic cell in the current time period is greater than the preset noise level threshold, then the recommended voltage in the historical recommended parameters is reduced according to the noise level of the aluminum electrolytic cell in the current time period. If the voltage deviation of the aluminum electrolytic cell in the current time period is greater than the preset voltage deviation threshold, the amount of raw material input in the historical recommended parameters will be reduced according to the voltage deviation of the aluminum electrolytic cell in the current time period.

4. The method according to claim 2, characterized in that, The correction of the historical recommended parameters based on the parameter recommendation rules corresponding to the current state also includes: If the current state and the historical state are different operating states, and the current state is a normal slot state, then the preset benchmark parameter is used as the current recommended parameter; If both the current state and the historical state are normal cell states, then obtain multiple efficiency levels corresponding to the aluminum electrolysis cell and level parameters corresponding to each efficiency level, wherein the efficiency level is determined based on the current efficiency of the aluminum electrolysis cell. The current efficiency level of the aluminum electrolytic cell in the current time period is determined from each of the efficiency levels, and a target efficiency level is determined from each of the efficiency levels based on the current efficiency level, wherein the current efficiency corresponding to the target efficiency level is greater than the current efficiency corresponding to the current efficiency level. The historical recommendation parameters are corrected based on the level parameters corresponding to the target level.

5. The method according to claim 2, characterized in that, The method further includes: The aluminum electrolysis cell is obtained through the cell control machine database. The historical output data includes at least the cell temperature and current efficiency. Based on feature engineering, feature derivation is performed according to the difference between adjacent historical output data to obtain derived feature data, and a training dataset is generated based on the historical output data and the derived feature data. The training dataset is fitted using regularization to obtain a regression equation between historical tank temperature values ​​and historical current efficiency, and the regression equation is optimized based on cross-validation. The temperature value of the aluminum electrolysis cell in the current time period is obtained through the cell control machine database; The current efficiency of the aluminum electrolytic cell in the current time period is obtained by matching the cell temperature value of the aluminum electrolytic cell in the current time period from the regression equation. The predicted aluminum output is calculated based on the current efficiency of the aluminum electrolysis cell in the current time period, and then added to the current recommended parameters.

6. The method according to claim 5, characterized in that, The method further includes: Pre-set a scheduled task; In response to the scheduled task, the regression equation is updated based on the historical output data collected from the tank control machine database.

7. The method according to any one of claims 1 to 6, characterized in that, After obtaining the current status of the aluminum electrolytic cell in the current time period through the cell control machine database, and obtaining the historical status and historical recommended parameters of the aluminum electrolytic cell in historical time periods, the method further includes: If the historical recommended parameters of the aluminum electrolysis cell in the historical time period are the default data, then the preset initial operating parameters are matched according to the current state and the historical state. The initial running parameters obtained from the matching are used as the current recommended parameters to generate a parameter recommendation instruction containing the current recommended parameters.

8. A system for recommending operating parameters for aluminum electrolytic cells, characterized in that, include: The tank control machine database connects to the server. The server is configured to determine multiple operating states of the aluminum electrolytic cell based on its heating and cooling trends, and to identify a state type to be adjusted from each operating state. It retrieves the current state of the aluminum electrolytic cell in the current time period from the cell control machine database, and also retrieves the historical state and recommended parameters of the aluminum electrolytic cell in a historical time period, where the current state and the historical state are each one of the operating states. If the current state and the historical state are different operating states, and the historical state belongs to the state type to be adjusted, then the current operating parameters of the aluminum electrolytic cell in the current time period are first set according to preset benchmark parameters. Then, the historical recommended parameters are corrected according to the parameter recommendation rules corresponding to the current state, and the corrected historical recommended parameters are used as the current recommended parameters to generate a parameter recommendation instruction containing the current recommended parameters. The recommendation instruction is used to set the current operating parameters of the aluminum electrolytic cell in the current time period based on the current recommended parameters. The server determines the type of state to be adjusted from multiple operating states of the aluminum electrolytic cell in the following way: based on the heating and cooling trend of the aluminum electrolytic cell, the operating states of the aluminum electrolytic cell are divided into at least a portion of normal cell state, heating cell state, cooling cell state, and disordered cell state; the normal cell state is determined as a stable state type, and at least a portion of the heating cell state, cooling cell state, and disordered cell state are determined as the type of state to be adjusted. The historical recommended parameters include operating voltage and raw material input. The preset benchmark parameters include the benchmark value of the operating voltage and the benchmark value of the raw material input.

9. An electronic device, characterized in that, include: Processor and memory; The memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory to cause the electronic device to perform the method as described in any one of claims 1 to 7.

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