Anode pitch optimization device and method for aluminum electrolytic cell

Abstract

This application belongs to the field of aluminum smelting technology, specifically proposing a device and method for optimizing the anode spacing of an aluminum electrolytic cell. The device includes: a sampling unit for collecting flue gas produced by the anode of the aluminum electrolytic cell to obtain a flue gas sample; an analysis unit, connected to the sampling unit, for performing component analysis on the flue gas sample to obtain the carbon dioxide concentration in the flue gas sample; and a control unit for determining the current efficiency of the aluminum electrolytic cell based on the carbon dioxide concentration, and optimizing the anode spacing of the aluminum electrolytic cell based on the current efficiency. The technical solution provided by this application can improve the uniformity of the current efficiency distribution of the aluminum electrolytic cell.

Description

Technical Field

[0001] This application belongs to the field of aluminum smelting technology, and in particular relates to a device and method for optimizing the anode distance of an aluminum electrolytic cell. Background Technology

[0002] With the continuous advancement of large-scale and high-efficiency aluminum electrolysis cell production, current efficiency, as a core indicator for measuring energy consumption and economic benefits in aluminum electrolysis production, directly affects the electricity consumption per ton of aluminum, electrolysis cell capacity, and operational stability. It is crucial for the aluminum electrolysis industry to achieve energy conservation, emission reduction, and stable production. However, current anode distance control in aluminum electrolysis cells mainly relies on manual experience and offline intermittent monitoring of anode operating status. This makes it impossible to accurately grasp the anode distance in different anode regions within the cell in real time, easily leading to imbalances in anode distance and uneven regional distribution. Abnormal anode distance can cause localized electrolytic reaction disturbances and increased secondary oxidation losses of aluminum, directly resulting in uneven current efficiency distribution within the electrolysis cell. Some areas exhibit low efficiency and high energy consumption, and manual adjustments lack quantitative data support, making precise optimization difficult and further exacerbating the uneven distribution of current efficiency. Therefore, how to improve the uniformity of current efficiency distribution in aluminum electrolysis cells has become an urgent technical problem to be solved. Summary of the Invention

[0003] The embodiments of this application provide an anode spacing optimization device, method, program product, readable storage medium, and electronic device for aluminum electrolysis cells, which can improve the uniformity of current efficiency distribution in aluminum electrolysis cells.

[0004] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.

[0005] According to a first aspect of the embodiments of this application, an anode spacing optimization device for an aluminum electrolytic cell is provided, characterized in that the device comprises: a sampling unit for collecting flue gas produced by the anode of the aluminum electrolytic cell to obtain a flue gas sample; an analysis unit connected to the sampling unit for performing component analysis on the flue gas sample to obtain the carbon dioxide concentration in the flue gas sample; and a control unit for determining the current efficiency of the aluminum electrolytic cell based on the carbon dioxide concentration, and optimizing the anode spacing of the aluminum electrolytic cell based on the current efficiency.

[0006] In some embodiments of this application, based on the aforementioned scheme, the sampling unit includes: multiple gas guide pipes for exporting flue gas produced by the anode of the aluminum electrolysis cell; multiple flue gas sampling pipes, respectively disposed in the multiple gas guide pipes, for sampling the flue gas in each gas guide pipe to obtain a flue gas sample; and a multi-channel switching valve connected to the multiple flue gas sampling pipes for controlling the connection between each flue gas sampling pipe and the analysis unit.

[0007] According to a second aspect of the embodiments of this application, a method for optimizing the anode distance of an aluminum electrolytic cell is provided, characterized in that the method is applied to the apparatus described in the first aspect, the method comprising: collecting flue gas produced in each anode region of the aluminum electrolytic cell by a sampling unit to obtain multiple flue gas samples for each anode region; performing component analysis on the flue gas samples by an analysis unit to obtain multiple carbon dioxide concentrations for each anode region; determining a current efficiency group for each anode region based on the carbon dioxide concentration by the control unit, and optimizing the anode distance of each anode region based on the current efficiency group.

[0008] In some embodiments of this application, based on the aforementioned scheme, the step of collecting the flue gas produced in each anode region of the aluminum electrolysis cell by the sampling unit includes: collecting the flue gas produced in each anode region of the aluminum electrolysis cell sequentially according to a preset sampling time within a sampling cycle, thereby obtaining multiple flue gas samples for each anode region.

[0009] In some embodiments of this application, based on the foregoing scheme, determining the current efficiency group of each anode region according to the carbon dioxide concentration includes: determining the current efficiency based on the carbon dioxide concentration using the following formula:

[0010] in, This represents the current efficiency of each anode region. This indicates the carbon dioxide concentration in each of the anode regions. The correction factor is indicated; based on multiple carbon dioxide concentrations in each anode region, multiple current efficiencies in each anode region are determined to obtain a current efficiency group for each anode region.

[0011] In some embodiments of this application, based on the foregoing scheme, optimizing the anode distance of each anode region based on the current efficiency group includes: if each current efficiency in the current efficiency group is lower than a preset current efficiency threshold, then it is determined that the anode distance of each anode region is too low, and the anode distance of each anode region is increased by controlling the control unit.

[0012] In some embodiments of this application, based on the foregoing scheme, optimizing the anode distance of each anode region based on the current efficiency group includes: determining a current efficiency group of multiple anode regions adjacent to each anode region as an adjacent current efficiency group; determining a first average value of each current efficiency in the current efficiency group of each anode region, and determining a second average value of each current efficiency in each adjacent current efficiency group; if each second average value is greater than the first average value, then it is determined that the anode distance of each anode region is too low, and the anode distance of each anode region is increased by controlling the control unit.

[0013] In some embodiments of this application, based on the foregoing scheme, the method further includes: after the anode distance of each anode region is adjusted, sampling units collect the flue gas produced in each anode region at a preset sampling frequency for a preset duration to obtain multiple verification flue gas samples; determining the current efficiency curve of each anode region through the multiple verification flue gas samples, the current efficiency curve being used to characterize the change law of current efficiency over time after the anode distance of each anode region is adjusted; and verifying the anode distance adjustment effect of each anode region based on the current efficiency curve.

[0014] In some embodiments of this application, based on the foregoing scheme, the verification of the anode distance adjustment effect of each anode region based on the current efficiency curve includes: if the current efficiency of each anode region does not increase to above a preset current efficiency threshold within a preset time period, then the anode distance of each anode region is controlled by the control unit to continue to increase.

[0015] According to a third aspect of the embodiments of this application, a computer program product is provided, the computer program product including computer instructions stored in a computer-readable storage medium and adapted to be read and executed by a processor to cause a computer device having the processor to perform an operation as described in any of the embodiments of the second aspect above.

[0016] According to a fourth aspect of the embodiments of this application, a computer-readable storage medium is provided, the computer-readable storage medium storing at least one computer program instruction, the at least one computer program instruction being loaded and executed by a processor to perform the operation performed by the method described in any one of the embodiments of the second aspect above.

[0017] According to a fifth aspect of the present application, an electronic device is provided, the electronic device including one or more processors and one or more memories, the one or more memories storing at least one computer program instruction, the at least one computer program instruction being loaded and executed by the one or more processors to perform the operation performed by the method as described in any of the embodiments of the second aspect above.

[0018] Based on the technical solution proposed in this application, a sampling unit collects flue gas from each anode region of the aluminum electrolysis cell and obtains multiple flue gas samples. An analysis unit then performs component analysis on the flue gas samples to obtain multiple carbon dioxide concentrations. The control unit determines the current efficiency group for each anode region based on the carbon dioxide concentration and optimizes the anode distance based on the current efficiency group. This enables real-time monitoring and quantitative evaluation of each local anode region of the electrolysis cell, accurately identifying anode regions with abnormal distances. This solves the problems of traditional production methods, such as the inability to quickly locate abnormal anodes and the excessively long detection cycle that fails to respond to changes within the cell. Furthermore, relying on data-driven current efficiency groups for distance optimization avoids the blindness and uncertainty of manual experience-based adjustments, ensuring that the distance between each anode region remains within an appropriate range. This improves the uniformity of current efficiency distribution in the aluminum electrolysis cell, reduces production energy consumption, and ensures the stability of the electrolysis cell.

[0019] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings: Figure 1 A schematic diagram of an aluminum electrolytic cell anode distance optimization device is shown in one embodiment of this application; Figure 2 A flowchart of an aluminum electrolytic cell anode spacing optimization method according to one embodiment of this application is shown; Figure 3 A schematic diagram of the structure of an electronic device according to one embodiment of this application is shown. Detailed Implementation

[0021] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.

[0023] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0024] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0025] It should also be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such uses of these terms can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described.

[0026] With the continuous advancement of large-scale and high-efficiency aluminum electrolysis cell production, current efficiency, as a core indicator for measuring energy consumption and economic benefits in aluminum electrolysis production, directly affects the electricity consumption per ton of aluminum, electrolysis cell capacity, and operational stability. It is crucial for the aluminum electrolysis industry to achieve energy conservation, consumption reduction, and stable production. However, current anode distance control in aluminum electrolysis cells mainly relies on manual experience and offline intermittent monitoring of anode operating status. This makes it impossible to accurately grasp the anode distance in different anode regions within the cell in real time, easily leading to imbalances in anode distance and uneven regional distribution. Abnormal anode distance can cause local electrolytic reaction disorder and increased secondary oxidation loss of aluminum, directly resulting in uneven current efficiency distribution in the electrolysis cell. Some areas have lower efficiency and higher energy consumption, and manual adjustments lack quantitative data support, making precise optimization difficult and further exacerbating the unevenness of current efficiency distribution. Based on this, this application proposes an anode distance optimization device and method for aluminum electrolysis cells to improve the uniformity of current efficiency distribution.

[0027] Next, we will combine Figure 1 The anode distance optimization device for aluminum electrolysis cells proposed in this application is described in detail.

[0028] Please refer to Figure 1 The diagram shows a schematic of an aluminum electrolytic cell anode distance optimization device in one embodiment of this application, as shown below. Figure 1 As shown, the device may include at least a sampling unit, an analysis unit, and a control unit. The sampling unit can be used to collect flue gas produced by the anode 102 of the aluminum electrolysis cell to obtain a flue gas sample. The analysis unit is connected to the sampling unit and can be used to perform component analysis on the flue gas sample to obtain the carbon dioxide concentration in the flue gas sample. The control unit can be used to determine the current efficiency of the aluminum electrolysis cell 101 based on the carbon dioxide concentration and optimize the anode distance of the aluminum electrolysis cell 101 based on the current efficiency.

[0029] In this application, the anode distance of an aluminum electrolysis cell refers to the distance from the bottom of the anode to the mirror surface of the molten aluminum. It is a core parameter affecting the current efficiency and energy consumption of the aluminum electrolysis cell. An excessively high distance will cause the cell voltage to rise, leading to energy waste, while an excessively low distance will exacerbate the secondary oxidation loss of aluminum, resulting in a decrease in current efficiency. Current efficiency is a core indicator for measuring energy consumption and production efficiency in aluminum electrolysis production, directly determining the energy consumption per ton of aluminum and the daily aluminum production of the electrolysis cell. The flue gas sample is a gas sample generated when the electrolysis reaction occurs at the anode of the aluminum electrolysis cell. Its composition can directly reflect the electrolysis reaction state of the corresponding anode area. The carbon dioxide concentration is the core component content in the flue gas sample and is positively correlated with the current efficiency of the anode area. It is an important basis for judging whether the anode distance is abnormal.

[0030] In this application, the sampling unit, as the front-end acquisition component of the device, is mainly used to collect the flue gas generated by the anode inside the aluminum electrolysis cell during the electrolysis reaction. The sampling position is arranged at the middle seam of every four anodes in the aluminum electrolysis cell, which can correspond to the reaction state of a specific anode area, avoid the mixing of flue gas from different areas causing sample distortion, and provide real and effective basic materials for subsequent component analysis.

[0031] In this application, the analysis unit and the sampling unit are connected through a pipeline, and the analysis unit can receive the flue gas sample delivered by the sampling unit and perform professional component detection and analysis on the flue gas sample to obtain the carbon dioxide concentration value in the flue gas sample. This value is the core data basis for subsequent calculation of current efficiency.

[0032] In this application, the control unit, as the intelligent decision-making core of the device, can receive carbon dioxide concentration data transmitted by the analysis unit, accurately determine the current efficiency of the corresponding area of ​​the aluminum electrolysis cell according to the preset calculation logic, and then judge whether the anode distance of the area is within a reasonable working range by combining the numerical characteristics and fluctuation law of the current efficiency. Finally, it outputs the corresponding control command to complete the optimization adjustment of the anode distance, so that the anode distance is always maintained in an ideal state that balances production efficiency and energy consumption control.

[0033] In this application, a sampling unit is set up to collect flue gas samples produced by the anode of the aluminum electrolysis cell. An analysis unit is then used to analyze the composition of the flue gas samples to obtain the carbon dioxide concentration. The control unit then determines the current efficiency and optimizes the anode distance based on the carbon dioxide concentration. This allows for real-time acquisition of the actual working status of each anode region in the aluminum electrolysis cell, thereby accurately locating anode regions with abnormal anode distances. This solves the problem in traditional production methods where it is difficult to quickly detect and accurately locate anodes with abnormal anode distances. Furthermore, relying on quantitative data to optimize and adjust the anode distance avoids the blindness and uncertainty of manual adjustments, thus improving the uniformity of the current efficiency distribution in the aluminum electrolysis cell, reducing energy consumption in electrolysis production, and ensuring the stable operation of the aluminum electrolysis cell.

[0034] Continue to refer to Figure 1The sampling unit may include at least a sampling hole 111, a gas guide pipe 112, a flue gas sampling pipe 113, and a multi-channel switching valve 114. The sampling unit may include multiple sampling holes 111 distributed in multiple anode regions 103 (including anode region 103A, anode region 103B, anode region 103C, and anode region 103D). A gas guide pipe 112 is arranged in each sampling hole 111, and a flue gas sampling pipe 113 is arranged in each gas guide pipe 112. Multiple flue gas sampling pipes 113 are all connected to the multi-channel switching valve 114. The gas guide pipe 112 can be used to export the flue gas produced by the anode of the aluminum electrolysis cell. The flue gas sampling pipe 113 can be used to sample the flue gas in each gas guide pipe to obtain a flue gas sample. The multi-channel switching valve 114 is used to control the connection between each flue gas sampling pipe 112 and the analysis unit.

[0035] Continue to refer to Figure 1 The analysis unit includes an infrared gas analyzer 121 and a data processing device 122. The infrared gas analyzer 121 is used to detect the carbon dioxide concentration in the flue gas sample, the data processing device 122 is used to determine the current efficiency of the corresponding anode region based on the carbon dioxide concentration, and the control unit 130 is used to control the anode distance of the aluminum electrolysis cell anode 102 based on the current efficiency.

[0036] In this application, the gas guide tube is a tubular component used to guide the flue gas of the anode reaction in a specific direction. It has high temperature resistance and corrosion resistance, and its installation position corresponds precisely to the anode area. The flue gas sampling tube is a sampling component that directly acquires the flue gas inside the gas guide tube. It corresponds one-to-one with the gas guide tube to ensure the exclusive correspondence of the sample. The multi-channel switching valve is a valve component that can control the sequential opening and closing of multiple gas paths to achieve orderly sampling of flue gas in multiple anode areas. The analysis unit is a detection device used to detect the carbon dioxide concentration in the flue gas, providing core data for current efficiency calculation.

[0037] In this application, multiple gas guide pipes are the basic flue gas guiding components of the sampling unit. They are pre-embedded in the middle seam of the aluminum electrolytic cell surrounded by four anodes, inside the cavity above the electrolyte. The gas guide pipes are made of a material that is resistant to high temperature and corrosion by fluoride gas, and can work continuously and stably in the complex production environment of the electrolytic cell with high temperature and strong corrosion. Their main function is to directionally guide the flue gas generated in the corresponding anode area during the electrolysis reaction, prevent the flue gas from spreading disorderly and causing the collected samples to lose their representativeness, and ensure that the guided flue gas can truly reflect the electrolysis reaction state of the four anode areas.

[0038] In this application, multiple flue gas sampling tubes and gas guide tubes are in a one-to-one correspondence. Each flue gas sampling tube is independently installed inside the corresponding gas guide tube, which can directly collect the flue gas transported in a direction within the gas guide tube. There will be no mixing of flue gas from different anode areas, thus obtaining a corresponding flue gas sample for each independent anode area.

[0039] In this application, the multi-channel switching valve is the core control component for achieving orderly sampling in multiple regions. It is connected to all flue gas sampling tubes simultaneously and can control the on / off state of the gas path between different flue gas sampling tubes and the analysis unit according to preset time and sequence rules. Only one flue gas sampling tube is allowed to remain connected to the analysis unit at the same time, avoiding interference from the analysis unit detection caused by the simultaneous delivery of multiple flue gas paths. The number of channels of the multi-channel switching valve matches the number of anode areas in the electrolytic cell, and it can complete the flue gas circulation sampling of all anode areas in the entire cell at a fixed cycle, ensuring the real-time and continuous nature of the sampling work.

[0040] In this application, by setting multiple gas guide pipes in the sampling unit to directionally export flue gas from each anode region, and using flue gas sampling pipes corresponding to each gas guide pipe to obtain flue gas samples specific to each region, and then using multi-channel switching valves to orderly control the connection between each flue gas sampling pipe and the analysis unit, independent and orderly collection of flue gas from different anode regions of the aluminum electrolysis cell can be achieved. This allows each flue gas sample to accurately reflect the actual working state of the corresponding anode region, thereby solving the problem that traditional manual sampling cycles are too long and cannot quickly respond to changes in the cell's working conditions. At the same time, relying on independent sampling and orderly switching avoids detection errors caused by sample mixing, providing a reliable data foundation for subsequent accurate location of anodes with abnormal electrode spacing, thereby reducing adjustment deviations caused by manual experience judgment, and ultimately effectively improving the uniformity of current efficiency distribution in the aluminum electrolysis cell.

[0041] Next, we will combine Figure 2 The method for optimizing the anode distance of aluminum electrolytic cells proposed in this application is described in detail.

[0042] See Figure 2 The flowchart illustrates a method for optimizing the anode distance of an aluminum electrolytic cell according to one embodiment of this application, as shown below. Figure 2 As shown, the method may include at least the following steps 210 to 230: Step 210: Collect the flue gas produced in each anode region of the aluminum electrolysis cell through the sampling unit to obtain multiple flue gas samples for each anode region.

[0043] Step 220: The flue gas sample is analyzed by the analysis unit to obtain multiple carbon dioxide concentrations in each anode region.

[0044] Step 230: Based on the control unit, determine the current efficiency group of each anode region according to the carbon dioxide concentration, and optimize the anode distance of each anode region based on the current efficiency group.

[0045] In this application, the anode region is a local working area on the aluminum electrolysis cell, centered on the seam surrounded by four anodes, and is the basic unit for monitoring and optimization; the flue gas sample is a gas sample generated by the electrolysis reaction collected from the anode region, which can directly reflect the electrolysis reaction state of the corresponding region; the carbon dioxide concentration is the volume percentage of carbon dioxide in the flue gas sample, which is a core indicator relating the electrolysis reaction efficiency and the anode distance state; the current efficiency set is a collection of multiple current efficiency data obtained from multiple calculations of the same anode region, used to characterize the overall level and stability of the current efficiency in that region; the anode distance is the distance from the bottom of the anode to the aluminum liquid mirror surface, which is a key parameter affecting the aluminum electrolysis current efficiency and production energy consumption.

[0046] In this application, the flue gas produced in each anode region of the aluminum electrolysis cell is collected by the sampling unit, thereby obtaining multiple flue gas samples for each anode region. The sampling unit can perform multiple flue gas collection operations for each anode region through the gas guide pipe pre-embedded in the anode seam, the independently set flue gas sampling pipe, and the multi-channel switching valve. Multiple collections can effectively avoid the random errors caused by single sampling, so that the obtained flue gas samples can truly and stably reflect the electrolysis reaction state of the corresponding anode region. At the same time, the sampling work of each region is independent of each other, and there will be no mixing of flue gas from different regions.

[0047] In this application, the collected flue gas samples are analyzed by an analysis unit to obtain multiple carbon dioxide concentrations for each anode region. The analysis unit uses a high-precision infrared gas analyzer to perform independent and real-time component detection on each flue gas sample. For multiple flue gas samples in the same anode region, the analyzer will output the corresponding carbon dioxide concentration values ​​one by one. The concentration level directly reflects the degree of sufficiency of the electrolysis reaction in that region and is the key data for judging whether the anode distance is abnormal.

[0048] In this application, based on the control unit, the current efficiency group of each anode region is determined according to the carbon dioxide concentration, and the anode distance of each anode region is optimized based on the current efficiency group. The carbon dioxide concentration is converted into the instantaneous current efficiency of the corresponding region. The efficiency group formed by the combination of multiple efficiency data can intuitively reflect the numerical level and fluctuation characteristics of the current efficiency of the region. By analyzing the overall state of the efficiency group, the control unit determines whether the anode distance of the region is within a reasonable working range, and then outputs precise optimization instructions to target and adjust the regions with abnormal distances, so that the anode distance returns to the ideal state that balances current efficiency and energy consumption control. In this application, a sampling unit collects flue gas from each anode region of the aluminum electrolysis cell and obtains multiple flue gas samples. An analysis unit then performs component analysis on these samples to obtain multiple carbon dioxide concentrations. The control unit determines the current efficiency group for each anode region based on the carbon dioxide concentration and optimizes the anode distance based on the current efficiency group. This enables real-time monitoring and quantitative evaluation of each local anode region of the electrolysis cell, accurately identifying anode regions with abnormal distances. This solves the problems of traditional production methods, such as the inability to quickly locate abnormal anodes and the excessively long detection cycle that fails to respond to changes within the cell. Furthermore, relying on data-driven current efficiency groups for distance optimization avoids the blindness and uncertainty of manual adjustments, ensuring that the distance between anode regions remains within an appropriate range. This improves the uniformity of current efficiency distribution in the aluminum electrolysis cell, reduces production energy consumption, and guarantees the stability of the electrolysis cell.

[0049] In step 210 above, the sampling unit collects the flue gas produced in each anode region of the aluminum electrolysis cell, which can be specifically performed according to step 211 below: Step 211: Within a sampling period, the flue gas produced in each anode region of the aluminum electrolysis cell is collected sequentially according to the preset sampling time to obtain multiple flue gas samples for each anode region.

[0050] In this application, the sampling period is the total time for the sampling unit to complete a full flue gas collection of all anode areas in the aluminum electrolysis cell, and is the time unit for full-cell cycle monitoring; the preset sampling time is a fixed duration set for a single flue gas collection of a single anode area, used to ensure the sufficiency of sample collection and the accuracy of detection; the anode area is a local working area divided with the central seam surrounded by every four anodes in the aluminum electrolysis cell as the core, and is the basic unit for flue gas collection and electrode spacing optimization; the flue gas sample is the gas generated by the electrolysis reaction collected from the anode area, used for subsequent component analysis and current efficiency calculation.

[0051] In this application, the sampling unit will take a pre-set sampling cycle as a complete collection unit. The sampling cycle is the total time to complete one round of flue gas collection in all anode areas of the electrolytic cell. Electrolytic cells of different specifications can be flexibly adjusted according to the number of anode areas and the response speed of the analysis equipment. For example, the sampling cycle of a 300 kA electrolytic cell is 5 minutes, and the sampling cycle of a 600 kA electrolytic cell is 7 minutes. This application does not make specific limitations on this.

[0052] In this application, within a single sampling cycle, the system sequentially collects flue gas from each anode region according to a preset sampling time. The preset sampling time is a fixed duration allocated for a single sampling of a single anode region. This duration ensures that a sufficient amount of effective flue gas is collected, avoiding insufficient sampling from affecting subsequent detection. Specifically, it can be 25 seconds or 30 seconds; this application does not make a specific limitation on this. Collecting in a fixed order and duration can avoid gas path interference caused by simultaneous sampling of multiple regions. Through multiple sampling cycles, multiple flue gas samples can be obtained for each anode region. Multiple samples can effectively avoid the random errors of a single sampling, allowing the sample data to truly and stably reflect the electrolytic reaction state of the corresponding anode region.

[0053] In this application, flue gas from each anode region of the aluminum electrolysis cell is collected sequentially within a sampling cycle according to a preset sampling time, resulting in multiple flue gas samples. This allows the flue gas collection process to maintain an orderly and stable operation, thereby obtaining reliable sample data that truly reflects the actual operating conditions of each anode region. This solves the problems of excessively long sampling cycles and inability to quickly respond to changes in the cell's operating conditions in traditional manual sampling. At the same time, the sequential sampling method effectively avoids sample mixing and detection interference, providing solid data support for subsequent accurate calculation of current efficiency in each region and location of anodes with abnormal electrode spacing. This reduces adjustment deviations caused by manual experience judgment, ultimately effectively improving the uniformity of current efficiency distribution in the aluminum electrolysis cell.

[0054] In step 230 above, determining the current efficiency group for each anode region based on the carbon dioxide concentration can be specifically performed according to steps 231 to 232 as follows: Step 231, based on the carbon dioxide concentration, determine the current efficiency using the following formula (1): (1) in, This represents the current efficiency of each anode region. This indicates the carbon dioxide concentration in each of the anode regions. This represents the correction factor.

[0055] Step 232: Based on multiple carbon dioxide concentrations in each anode region, determine multiple current efficiencies for each anode region to obtain a current efficiency group for each anode region.

[0056] In this application, the current efficiency is a core indicator for measuring the reaction effect, energy consumption, and production efficiency of aluminum electrolysis, and can affect energy consumption and the daily aluminum production of the electrolytic cell; the carbon dioxide concentration is the volume percentage of carbon dioxide in the flue gas generated by the anode electrolysis reaction, and is a key detection data reflecting the degree of sufficiency of the electrolysis reaction; the correction coefficient is a compensation value calibrated according to the electrolytic cell model and on-site operating conditions, used to improve the accuracy of current efficiency calculation; the current efficiency group is a collection of multiple current efficiency data in the same anode area, used to reflect the level and stability of current efficiency in that area.

[0057] In this application, the carbon dioxide concentration detected by the analysis unit is used as the basic input data. The current efficiency of a single anode region is determined according to formula (1). For the same anode region, the analysis unit will detect multiple carbon dioxide concentration values. The system will perform calculations for each carbon dioxide concentration value to obtain the corresponding multiple current efficiency values. The current efficiency group of the anode region can be obtained by summing up the multiple current efficiency values ​​of the same region. The current efficiency group can not only reflect the overall current efficiency level of the region, but also reflect the fluctuation and stability of the efficiency. Compared with a single value, it can avoid the randomness of data.

[0058] In this application, the correction coefficients in the formula need to be calibrated based on the specific specifications of the electrolytic cell, the on-site working conditions, and a large amount of historical experimental data. Different correction coefficients correspond to different capacities of electrolytic cells, so as to eliminate calculation errors caused by equipment differences and environmental fluctuations, and make the current efficiency calculation results more in line with the actual production situation.

[0059] In this application, the current efficiency is calculated based on the carbon dioxide concentration using a specific formula. Then, multiple current efficiencies are obtained from multiple carbon dioxide concentrations in the same anode region and a current efficiency group is formed. This can transform the raw data of flue gas detection into a quantitative and stable current efficiency index, thereby accurately reflecting the electrolysis reaction state of each anode region. This solves the problems of traditional production methods, such as the inability to accurately reflect the current efficiency of different regions in the cell in real time and the difficulty in locating anodes with abnormal electrode spacing. At the same time, the calculation results are calibrated by correction coefficients and the data stability is reflected by efficiency groups, which can provide reliable data support for anode spacing optimization, avoid the blindness and deviation caused by manual experience adjustment, and thus quickly achieve targeted adjustment of abnormal electrode spacing, ultimately effectively improving the uniformity of current efficiency distribution in aluminum electrolysis cells.

[0060] In step 230 above, optimizing the anode spacing of each anode region based on the current efficiency group can be specifically performed as follows: step 233: Step 233: If the current efficiency of each current efficiency in the current efficiency group is lower than the preset current efficiency threshold, it is determined that the anode distance of each anode region is too low, and the anode distance of each anode region is increased by controlling the control unit.

[0061] In this application, the current efficiency group is a set of multiple current efficiency data obtained by multiple flue gas collections and calculations in the same anode region, which can reflect the level and stability of the current efficiency in that region; the preset current efficiency threshold is a critical value calibrated based on the historical operating data of the electrolytic cell, used to determine whether the current efficiency in the anode region is within the normal operating range; the anode distance being too low means that the distance from the bottom of the anode to the aluminum liquid mirror surface is less than the ideal operating range, which will cause the secondary oxidation of aluminum to intensify and the current efficiency to decrease.

[0062] In this application, the control unit first retrieves the current efficiency group for the corresponding anode region. Then, the control unit compares each current efficiency value in the efficiency group with a preset current efficiency threshold. When all current efficiency values ​​in the current efficiency group for the anode region are lower than the preset current efficiency threshold, the control unit determines that the anode distance in the region is too low based on the aluminum electrolysis reaction mechanism. A low distance will directly cause increased fluctuations in the molten aluminum and increased secondary oxidation loss of aluminum, which will lead to a continuous decrease in current efficiency. Subsequently, the control unit will automatically output control commands to the anode lifting mechanism or the cell control system to increase the anode distance in the anode region. The adjustment range will be determined based on the specifications of the electrolytic cell and the degree of efficiency deviation.

[0063] In this application, by comparing the current efficiency group of the anode region with a preset current efficiency threshold, when all efficiency values ​​are lower than the threshold, it is determined that the electrode spacing is too low. The anode electrode spacing is increased by the control unit. This can quickly identify the anode region where the current efficiency is abnormal due to the electrode spacing being too low, thereby accurately locating the target anode that needs adjustment. This solves the problem in traditional production methods where it is difficult to quickly detect anodes with abnormal electrode spacing and difficult to accurately locate abnormal regions. At the same time, relying on quantitative data judgment standards to perform electrode spacing adjustment avoids the blindness and adjustment deviation caused by manual experience judgment. It can promptly correct the situation of local electrode spacing abnormality, thereby improving the uniformity of current efficiency distribution in aluminum electrolysis cells, reducing production energy consumption, and ensuring the long-term stable operation of electrolysis cells.

[0064] In step 230 above, optimizing the anode spacing of each anode region based on the current efficiency group can be specifically performed according to steps 234 to 236 as follows: Step 234: Determine the current efficiency group of multiple anode regions adjacent to each anode region as the adjacent current efficiency group.

[0065] Step 235: Determine the first average value of each current efficiency in each current efficiency group of each anode region, and determine the second average value of each current efficiency in each adjacent current efficiency group.

[0066] Step 236: If each of the second average values ​​is greater than the first average value, it is determined that the anode distance of each anode region is too low, and the anode distance of each anode region is increased by controlling the control unit.

[0067] In this application, the adjacent anode region refers to the anode working area that is close to the target diagnostic anode region and has basically the same working environment, and is a benchmark region for comparison and reference; the adjacent current efficiency group is a set of multiple current efficiency data corresponding to the adjacent anode regions, used to reflect the overall current efficiency level of the adjacent regions; the first average value is the average value of the current efficiency group of the target diagnostic anode region itself, representing the overall current efficiency status of the region; the second average value is the average value of the current efficiency groups of each adjacent anode region, serving as the benchmark data for comparison and judgment; the anode distance being too low means that the distance between the anode base and the aluminum liquid mirror surface is less than the ideal working range, which will cause an increase in secondary oxidation loss of aluminum and thus lead to a decrease in current efficiency.

[0068] In this application, multiple adjacent anode regions surrounding the anode region to be diagnosed are first located. The current efficiency groups corresponding to these adjacent regions are retrieved and used as adjacent current efficiency groups. Since the electrolysis temperature, material distribution, and other operating conditions of adjacent anode regions in the aluminum electrolysis cell are basically the same, their current efficiency levels should be within a similar range. Then, two types of average values ​​are calculated: one is the first average value of all current efficiency data in the current efficiency group of the anode region to be diagnosed itself, which can stably reflect the overall current efficiency level of the region; the other is the second average value of the current efficiency group corresponding to each adjacent anode region, with each adjacent region obtaining an independent second average value. When the second average value of all adjacent anode regions is greater than the first average value of the region to be diagnosed, the influence of overall cell condition fluctuations or low overall cell efficiency can be ruled out, indicating that the anode region has a problem with a low anode distance, thereby avoiding detection deviations caused by the longitudinal concentration gradient within the electrolysis cell.

[0069] In this application, by determining the current efficiency group of multiple anode regions adjacent to the target anode region, the first average value of the target region and the second average value of the adjacent regions are calculated. When all the second average values ​​are greater than the first average value, it is determined that the electrode spacing is too low, and the anode electrode spacing is increased by the control unit. The detection error caused by the longitudinal concentration gradient in the aluminum electrolysis cell can be eliminated by taking advantage of the similar operating conditions of the adjacent regions. This allows for more accurate identification of anode regions with abnormal electrode spacing, thereby solving the problems of inaccurate positioning of anodes with abnormal electrode spacing and poor judgment in traditional production methods. At the same time, the electrode spacing adjustment is performed by using the quantitative standard of adjacent comparison, avoiding the blindness and deviation caused by manual experience adjustment. It can quickly achieve targeted optimization of local electrode spacing, thereby improving the uniformity of current efficiency distribution in the aluminum electrolysis cell, reducing production energy consumption, and ensuring the long-term stable operation of the electrolysis cell.

[0070] Based on the technical solution proposed in this application, the method can also be performed according to the following steps 310 to 330: Step 310: After the anode distance of each anode region is adjusted, the flue gas produced by each anode region is collected by the sampling unit at a preset sampling frequency for a preset duration to obtain multiple verification flue gas samples.

[0071] Step 320: Determine the current efficiency curve of each anode region using the multiple verification flue gas samples. The current efficiency curve is used to characterize the change of current efficiency over time after the anode distance of each anode region is adjusted.

[0072] Step 330: Verify the effect of anode distance adjustment in each anode region based on the current efficiency curve.

[0073] In this application, the preset sampling frequency is a fixed time interval for the sampling unit to collect flue gas after the anode gap is adjusted, which is consistent with the full-cell cyclic scanning cycle of the electrolytic cell; the preset duration is the total duration for continuous flue gas collection after the gap is adjusted, used to fully observe the changes in operating conditions after adjustment; the verification flue gas sample is a flue gas sample specifically collected after the gap is adjusted, used to evaluate the current efficiency status after adjustment; the current efficiency curve is a curve formed by current efficiency values ​​arranged in chronological order, which intuitively reflects the dynamic law of efficiency after adjustment; the adjustment effect verification is an evaluation step that uses the current efficiency curve to determine whether the gap optimization meets the standard and whether a secondary adjustment is needed.

[0074] In this application, after the electrode spacing adjustment operation of the target anode region is completed, the verification program is automatically started. First, the sampling unit is controlled to continuously collect the flue gas generated in the region after adjustment according to the preset sampling frequency. By collecting multiple samples in succession, multiple verification flue gas samples that can truly reflect the working conditions after adjustment can be obtained. Then, the current efficiency at the corresponding time is calculated based on these verification flue gas samples. The efficiency values ​​arranged in chronological order are then plotted into a current efficiency curve. This curve, with time as the horizontal axis and current efficiency as the vertical axis, can clearly and intuitively show the change law of current efficiency in the region over time after electrode spacing adjustment. Finally, the effect of this electrode spacing adjustment is verified based on the trend and value change of the current efficiency curve to determine whether the current efficiency has returned to the normal range.

[0075] In this application, multiple verification flue gas samples are obtained by continuously collecting flue gas for a preset duration at a preset sampling frequency after the anode gap is adjusted. Then, a current efficiency curve is generated based on the verification samples, and the adjustment effect is verified accordingly. The change in current efficiency in the anode region can be observed in real time after the gap is adjusted, so as to objectively and accurately determine whether the gap adjustment has achieved the expected effect. This solves the problem that the anode adjustment lacks a verification link in the traditional production method, and it is difficult to detect over-adjustment or under-adjustment. At the same time, relying on the intuitive data of the curve, a complete closed-loop optimization process is formed, which can carry out secondary adjustments in a timely manner to ensure that the gap is within the ideal range, thereby improving the uniformity of the current efficiency distribution of the aluminum electrolysis cell.

[0076] In step 330 above, the verification of the anode distance adjustment effect of each anode region based on the current efficiency curve can be performed according to step 331 below: Step 331: If the current efficiency of each anode region does not increase to above the preset current efficiency threshold within a preset time period, the anode distance of each anode region is controlled by the control unit to continue to increase.

[0077] In this application, the current efficiency curve is a current efficiency change curve generated in chronological order after the electrode spacing adjustment, which can intuitively reflect the recovery state of the operating condition after adjustment; the preset duration is a fixed monitoring period used to observe the current efficiency recovery effect after electrode spacing adjustment, ensuring the accuracy of the verification results; the preset current efficiency threshold is the critical value of current efficiency for normal operation of the electrolytic cell, serving as the core standard for judging whether the adjustment meets the standard; the control unit is the intelligent decision-making and execution core of the system, responsible for outputting secondary electrode spacing adjustment commands based on the verification results; the continued increase of the anode electrode spacing is an iterative optimization operation to address the inadequacy of the initial adjustment, gradually adjusting the electrode spacing to a suitable range.

[0078] In this application, after the initial increase of the anode gap is completed, the system continuously observes the change in current efficiency in the corresponding region based on the current efficiency curve. The observation time is a preset duration, which is determined according to the operating response speed of electrolytic cells of different capacities, and can fully reflect the actual recovery effect after the gap adjustment.

[0079] In this application, the current efficiency value during the observation period is continuously compared with a preset current efficiency threshold. This threshold is a dynamic health standard calibrated based on 24-hour stable operation data of the electrolytic cell, and it also serves as the basis for determining whether the regional current efficiency has returned to normal. If the current efficiency of the anode region fails to rise above the preset current efficiency threshold within the complete preset observation period, it indicates that the initial adjustment of the electrode spacing was insufficient, and the problem of aggravated secondary oxidation of aluminum caused by the low electrode spacing was not completely resolved. The corresponding electrolysis reaction remains in an abnormal state. At this time, the control unit will automatically generate a secondary adjustment command to continue increasing the anode electrode spacing in the anode region. The adjustment range will be increased slightly in conjunction with the efficiency deviation, and the anode electrode spacing will be gradually iterated to reach the ideal working range, ensuring the electrode spacing optimization effect.

[0080] In this application, by monitoring whether the current efficiency of the anode region reaches the preset current efficiency threshold within a preset time period, and by continuing to increase the anode distance through the control unit when the threshold is not met, precise iterative optimization can be performed on the anode region where the initial adjustment effect is not good. This ensures that the problem of low electrode distance is completely solved, thereby solving the problem of lack of quantitative verification of anode adjustment and difficulty in timely correction of insufficient adjustment in traditional production methods. At the same time, by relying on the automated secondary adjustment mechanism, the problem handling cycle is shortened, and the current efficiency of abnormal areas can be quickly restored to the normal level, thereby improving the uniformity of current efficiency distribution in aluminum electrolysis cells.

[0081] Next, the aluminum electrolytic cell anode distance optimization device and method proposed in this application will be described in detail with reference to some specific embodiments.

[0082] Example 1: A 400kA aluminum electrolytic cell has 48 sets of anodes. A high-temperature resistant 310S stainless steel heat-resistant tube, resistant to fluoride gas corrosion, is installed in the cavity above the electrolyte at the seam between every four sets of anodes. A flue gas sampling probe with a ceramic sintered filter is installed above the heat-resistant tube. A 12-channel automatic switching valve is used, and the flue gas composition analyzer is set to sample and analyze each probe for 30 seconds, completing a full cell cycle scan every 6 minutes. Based on extensive historical data, a current efficiency calculation model for this electrolytic series is established:

[0083] Industrial computers calculate the instantaneous current efficiency η at each measuring point (i=1-10) in real time.i η at each point over a continuous 24-hour period i The average value is used as the dynamic health baseline for the tank at this stage (assumed to be 92%). Diagnostic rules (diagnostic engine runs every 36 minutes): Low extreme distance diagnosis: If a point shows η for 3-5 consecutive cycles (18-30 minutes) i If the average efficiency is 1.5% lower than the dynamic baseline (i.e., <90.5%), and the standard deviation of efficiency at that point is greater than 1.5 times the average standard deviation of the entire cell during that period, and this phenomenon occurs 10-30 times within 24 hours, while the current efficiency is within the normal range at other times, the system determines that one of the four anodes corresponding to that point may have an anode with insufficient electrode spacing. This is marked as a yellow alarm on the interface, indicating insufficient electrode spacing, and a 2mm increase is recommended. Based on the prompt, the staff checked the four anodes that triggered the alarm, found the anode with insufficient electrode spacing, and increased it by 2mm. After adjusting the anode, the system focused on monitoring the data at that point for the next 24 hours and found that the improvement in current efficiency was not significant. Increasing the anode by another 2mm still did not significantly improve current efficiency. Further diagnostic and optimization methods were then implemented for the electrolyzer.

[0084] Example 2: A 300kA aluminum electrolytic cell has 40 sets of anodes. A high-temperature resistant, fluoride-resistant 310S stainless steel heat-resistant tube is installed in the cavity above the electrolyte at the seam between every four sets of anodes. A flue gas sampling probe with a ceramic sintered filter is installed above the heat-resistant tube. A 10-channel automatic switching valve is used, and the flue gas composition analyzer is set to a sampling analysis time of 30 seconds for each sampling probe, completing a full-cell cycle scan every 5 minutes. Based on a large amount of historical data, a current efficiency calculation model for this electrolytic series is established, i.e., formula (1). An industrial computer calculates the instantaneous current efficiency η at each measuring point (i=1-10) in real time. i η at each point over a continuous 24-hour period i The average value is used as the dynamic health baseline for the tank at this stage (assumed to be 92%). Diagnostic rules (diagnostic engine runs every 30 minutes): Low extreme distance diagnosis: If the η value at a certain point exceeds 92% for 6 consecutive cycles (30 minutes)... i If the mean is 1.5% lower than the dynamic baseline (i.e., <90.5%), and the standard deviation of the efficiency at that point during that period is greater than 1.5 times the standard deviation of the overall tank average, the system determines that one of the four anodes corresponding to that point has an insufficient electrode spacing, indicating inadequate electrode spacing and suggesting an increase of 3-5mm. Based on this indication, staff checked the four anodes that triggered the alarm, located the anode with the insufficient electrode spacing, and increased it by 3mm. After adjusting the anode, the system focused on monitoring the data at that point for the next two hours. If its η i The alarm will be lifted once the mean returns to within 0.5% of the baseline and volatility decreases.

[0085] Example 3: A 400kA aluminum electrolytic cell has 48 sets of anodes. A high-temperature resistant, fluoride-resistant nickel-based high-temperature alloy tube is installed in the cavity above the electrolyte at the seam between every four sets of anodes. A flue gas sampling probe with a ceramic sintered filter is installed above the heat-resistant tube. A 12-channel automatic switching valve is used. The flue gas composition analyzer is set to sample and analyze each sampling probe for 30 seconds, completing a full-cell cycle scan every 6 minutes. Based on a large amount of historical data, a current efficiency calculation model for this electrolytic series is established, i.e., formula (1). An industrial computer calculates the instantaneous current efficiency η at each measuring point (i=1-12) in real time. i η at each point over a continuous 24-hour period i The average value is used as the dynamic health baseline for the tank at this stage (assumed to be 91.5%). Diagnostic rules (diagnostic engine runs every 30 minutes): The diagnosis not only compares with the overall tank baseline, but also introduces "neighbor comparison" (comparing with the average efficiency of two adjacent sampling tubes) to eliminate the influence of the longitudinal concentration gradient within the tank. If the efficiency of a certain area is 2% lower than the baseline (i.e., <89.5%) or more than 1.5% lower than the average of its adjacent areas, and this continues for more than 60 minutes, the system determines that there is an anode with a low electrode spacing among the four anodes corresponding to that point, triggering a red alarm. According to the prompt, the staff checks the four anodes that triggered the alarm, finds the anode with a low electrode spacing, and raises it by 3mm. After adjusting the anode, the system focuses on monitoring the data of that point for the next 3 hours and observes whether the adjustment has a negative impact on the adjacent anode areas (whether the efficiency of the "neighbor" changes abnormally). If its η i If the value has not yet recovered to within the baseline range of 0.5%, continue to raise the anode by 2mm and continue to closely monitor the data at this point for 3 hours until η... i If the value rises back to within 0.5% of the baseline or the difference between the average value and the adjacent area is less than 0.5%, and the volatility decreases, the alarm will be lifted and the green normal state will be restored.

[0086] Based on the technical solution proposed in this application, a sampling unit collects flue gas from each anode region of the aluminum electrolysis cell and obtains multiple flue gas samples. An analysis unit then performs component analysis on the flue gas samples to obtain multiple carbon dioxide concentrations. The control unit determines the current efficiency group for each anode region based on the carbon dioxide concentration and optimizes the anode distance based on the current efficiency group. This enables real-time monitoring and quantitative evaluation of each local anode region of the electrolysis cell, accurately identifying anode regions with abnormal distances. This solves the problems of traditional production methods, such as the inability to quickly locate abnormal anodes and the excessively long detection cycle that fails to respond to changes within the cell. Furthermore, relying on data-driven current efficiency groups for distance optimization avoids the blindness and uncertainty of manual experience-based adjustments, ensuring that the distance between each anode region remains within an appropriate range. This improves the uniformity of current efficiency distribution in the aluminum electrolysis cell, reduces production energy consumption, and ensures the stability of the electrolysis cell.

[0087] As another embodiment of this application, a computer program product or computer program is also provided, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods described in the above embodiments.

[0088] As another embodiment of this application, a computer-readable storage medium is also provided. This computer-readable storage medium may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the methods described in the above embodiments.

[0089] Based on the same inventive concept, embodiments of this application also provide an electronic device. (Reference) Figure 3 The diagram illustrates the structure of an electronic device according to one embodiment of this application. The electronic device includes one or more memories 304, one or more processors 302, and at least one computer program (program code) stored in the memories 304 and executable on the processors 302. When the processors 302 execute the computer program, they implement the method described above.

[0090] Among them, Figure 3 In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 can be used to store data used by processor 302 during operation.

[0091] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and embodiments are within the scope and spirit of this application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwired, or any combination thereof. Furthermore, the functional units may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit.

[0092] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0093] The units described as separate components may or may not be physically separate. Similarly, the components of the control device may or may not be physical units; they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0094] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0095] The above description is merely an embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A device for optimizing the anode distance of an aluminum electrolytic cell, characterized in that, The device includes: A sampling unit is used to collect the flue gas produced by the anode of the aluminum electrolysis cell to obtain a flue gas sample. An analysis unit, connected to the sampling unit, is used to perform component analysis on the flue gas sample to obtain the carbon dioxide concentration in the flue gas sample; A control unit is configured to determine the current efficiency of the aluminum electrolytic cell based on the carbon dioxide concentration, and optimize the anode spacing of the aluminum electrolytic cell based on the current efficiency.

2. The apparatus according to claim 1, characterized in that, The sampling unit includes: Multiple gas guide pipes are used to discharge the flue gas produced by the anode of the aluminum electrolysis cell; Multiple flue gas sampling tubes are respectively installed in multiple gas guide tubes to sample the flue gas in each gas guide tube and obtain flue gas samples; A multi-channel switching valve is connected to the plurality of flue gas sampling tubes and is used to control the connection between each flue gas sampling tube and the analysis unit.

3. A method for optimizing the anode distance of an aluminum electrolytic cell, characterized in that, The method is applied to the apparatus as described in claim 2, the method comprising: The flue gas produced in each anode region of the aluminum electrolysis cell is collected by the sampling unit to obtain multiple flue gas samples for each anode region. The composition of the flue gas sample is analyzed by the analysis unit to obtain multiple carbon dioxide concentrations for each anode region. Based on the control unit, the current efficiency group of each anode region is determined according to the carbon dioxide concentration, and the anode distance of each anode region is optimized based on the current efficiency group.

4. The method according to claim 3, characterized in that, The sampling unit collects the flue gas produced in each anode region of the aluminum electrolysis cell, including: Within a sampling period, flue gas produced in each anode region of the aluminum electrolysis cell is collected sequentially according to a preset sampling time to obtain multiple flue gas samples for each anode region.

5. The method according to claim 3, characterized in that, The step of determining the current efficiency group for each anode region based on the carbon dioxide concentration includes: Based on the carbon dioxide concentration, the current efficiency is determined using the following formula: in, This represents the current efficiency of each anode region. This indicates the carbon dioxide concentration in each of the anode regions. Indicates the correction factor; Based on multiple carbon dioxide concentrations in each anode region, multiple current efficiencies in each anode region are determined to obtain a current efficiency group for each anode region.

6. The method according to claim 3, characterized in that, The optimization of the anode spacing for each anode region based on the current efficiency group includes: If the current efficiency of each current efficiency in the current efficiency group is lower than the preset current efficiency threshold, it is determined that the anode distance of each anode region is too low, and the anode distance of each anode region is increased by controlling the control unit.

7. The method according to claim 3, characterized in that, The optimization of the anode spacing for each anode region based on the current efficiency group includes: Determine a group of current efficiency of multiple anode regions adjacent to each anode region, as an adjacent current efficiency group; Determine the first average value of each current efficiency in each current efficiency group of each anode region, and determine the second average value of each current efficiency in each adjacent current efficiency group; If each of the second average values ​​is greater than the first average value, it is determined that the anode distance of each anode region is too low, and the anode distance of each anode region is increased by controlling the control unit.

8. The method according to claim 3, characterized in that, The method further includes: After the anode distance of each anode region is adjusted, the flue gas produced in each anode region is collected by the sampling unit at a preset sampling frequency for a preset duration to obtain multiple verification flue gas samples. The current efficiency curve of each anode region is determined by the multiple verification flue gas samples. The current efficiency curve is used to characterize the change of current efficiency over time after the anode distance of each anode region is adjusted. The effect of adjusting the anode distance in each anode region is verified based on the current efficiency curve.

9. The method according to claim 8, characterized in that, The verification of the anode distance adjustment effect for each anode region based on the current efficiency curve includes: If the current efficiency of each anode region does not increase to a preset current efficiency threshold within a preset time period, the anode distance of each anode region will continue to increase through the control unit.

10. An electronic device, characterized in that, The electronic device includes one or more processors and one or more memories, wherein at least one piece of program code is stored in the one or more memories, and the at least one piece of program code is loaded and executed by the one or more processors to implement the method as described in any one of claims 3 to 9.

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