An intelligent control system for aluminum electrolysis cell production

Abstract

The present invention discloses an intelligent control system for aluminum electrolysis cell production. The control system comprehensively analyzes the data of on-line measurement of voltage, current, noise value, over- and under-ratio, and the data of off-line input of bath temperature, molecular ratio, and temperature trend, combines with the furnace type identification of the furnace lining type identification module, and cooperates with the alumina concentration identification module and superheat identification module to identify the alumina concentration and superheat of the electrolysis cell. Taking the alumina concentration and superheat as feedback, the intelligent control of alumina concentration, aluminum fluoride concentration, superheat, noise value, and voltage balance of the electrolysis cell is realized by using a double-track alumina concentration control module, a multi-mode ALF3 concentration control module, and a multi-stage noise control module. The control of the present invention has high precision and high reliability; the energy balance and material balance are detected and controlled simultaneously, the accuracy of alumina concentration control is improved, and the current efficiency is increased; the automatic control ensures the stability of production efficiency, reduces the labor intensity, and improves the production efficiency of the whole plant.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent control systems for the production of electrolytic cells, and relates to an intelligent control system for the production of aluminum electrolytic cells. Background Art

[0002] With the increasing requirements for aluminum electrolysis production, the traditional single material balance control can no longer meet the production requirements of high efficiency and low consumption. The main reasons are as follows: 1. The solubility of alumina in the electrolyte changes with the change of superheat. When the superheat is too low, the solubility of alumina becomes poor, and the voltage curve cannot reflect the true trend of alumina concentration, resulting in the distortion of alumina concentration control; 2. The input parameters of the traditional material balance control are single, lacking a comprehensive evaluation of various parameters in the aluminum electrolysis production process, and it is impossible to achieve precise control; 3. There is no regional material balance control. As the current intensity of the electrolytic cell increases, the volume of the electrolytic cell also increases, and the phenomenon of local material imbalance increases, so different control strategies need to be adopted for different regions of the electrolytic cell. Based on the above factors, a new method is urgently needed to meet the precise control requirements of aluminum electrolysis production. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent control system for the production of aluminum electrolytic cells to solve the technical problems existing in the prior art.

[0004] The technical solution adopted by the present invention is: an intelligent control system for the production of aluminum electrolytic cells, including an alumina concentration identification module, a superheat identification module, a dual-trajectory alumina concentration control module, a multi-mode ALF3 concentration control module, a multi-stage noise control module, and a furnace type identification module. On the basis of establishing the best relationship between the "static balance parameters" and "current efficiency" of the aluminum electrolytic cell, the intelligent control of the key parameters of "dynamic balance" in the production process of the aluminum electrolytic cell is realized, that is, through the comprehensive analysis of the online measured data of voltage, current, noise value, and over-undershoot ratio and the offline input data of cell temperature, molecular ratio, and temperature trend, combined with the furnace type identification of the furnace type identification module, and cooperating with the alumina concentration identification module and the superheat identification module to identify the alumina concentration and superheat of the electrolytic cell, using the alumina concentration and superheat as feedback, and adopting the dual-trajectory alumina concentration control module, the multi-mode ALF3 concentration control module, and the multi-stage noise control module to realize the intelligent control of "alumina concentration", "aluminum fluoride concentration", "superheat (jointly controlled by the multi-mode ALF3 addition control module and the multi-stage noise control module)", "noise value", and "voltage balance (controlled by the multi-stage noise control module)" of the electrolytic cell.

[0005] The implementation method of the alumina concentration identification module is as follows: identify the interval where the alumina concentration is located, so as to adopt corresponding control methods to adjust the alumina concentration and ensure that the alumina concentration is within the target control interval; the specific method is to first under-process (feed less alumina) and then over-process (feed more alumina) to identify the concentration interval. If the resistance increases during the under-processing stage and decreases during the over-processing stage, it indicates that the alumina concentration is in the left half of the U-shaped curve, that is, the target control interval. On the contrary, if the resistance decreases during the under-processing stage or increases during the over-processing stage, it indicates that the alumina concentration is in the right half of the U-shaped curve, that is, the high-concentration area.

[0006] The implementation method of the superheat identification module is as follows: identify the superheat interval of the electrolytic cell, so as to adjust the superheat of the electrolytic cell through the multi-mode ALF3 feeding control module and the multi-stage noise control module to ensure the energy balance of the electrolytic cell. The specific method is: comprehensively identify the superheat of the electrolytic cell by online collecting data of voltage, current, noise value and voltage deviation and offline inputting data of bath temperature, molecular ratio and temperature trend. According to the identified superheat, the electrolytic cell is divided into high-temperature hot cell, hot cell, normal cell, cold cell, low-temperature cold cell and yin-yang cell (high-temperature cold cell, low-temperature hot cell); if the bath temperature is more than 5°C lower than the set target temperature, the noise value is higher than the set target noise value, and the voltage deviation is more than 50 mV from the target voltage, it is judged as a low-temperature cold cell; if the bath temperature is more than 3°C lower than the set target temperature and the noise value is higher than the set target noise value, it is judged as a cold cell; if the bath temperature is within ±3°C of the set target temperature, the noise value is lower than the set target noise value, and the voltage deviation is less than 20 mV, it is judged as a normal cell; if the bath temperature is more than 3°C higher than the set target temperature and the noise value is lower than the set target noise value, it is judged as a hot cell; if the bath temperature is more than 5°C higher than the set target temperature, the noise value is lower than the set target noise value, and the voltage deviation value is less than 20 mV, it is judged as a high-temperature hot cell; a cell with a high bath temperature and a high noise value or a low bath temperature and a low noise value is judged as a yin-yang cell.

[0007] The implementation method of the dual-trajectory alumina concentration control module is as follows: According to the concentration range identified by the alumina concentration identification module and the superheat range identified by the superheat identification module, different over / underfeeding methods are used to adjust the alumina addition amount in real time. Finally, the alumina concentration is controlled between 1.5% and 2.5% in the left half of the U-shaped curve, so that the electrolytic cell reaches the best current efficiency. That is, when the concentration detection module detects that the alumina concentration is in the left half of the U-shaped curve and the rate of change of resistance dR / dt is relatively sensitive, it indicates that the alumina concentration is in the target control range, and the existing over / underfeeding rate and over / under voltage amplitude are maintained; if the alumina concentration identification module detects that the alumina concentration is in the right half of the U-shaped curve, after one over / underfeeding cycle ends, the target voltage is raised according to the voltage deviation value to avoid pressing the pole pitch, and at the same time, the alumina feeding interval is lengthened to quickly adjust the alumina concentration to the target control range; at the same time, according to the type of electrolytic cell identified by the superheat identification module, if it is a cold cell, the over / under cycle period is automatically shortened and the over / under conversion voltage amplitude is reduced. The reason is that the solubility of alumina in a cold cell is relatively poor and the controllable range of concentration becomes narrower.

[0008] In view of the situation that the local alumina concentration near the new anode is relatively high after anode replacement, the trajectory alumina concentration control module automatically reduces the feeding frequency or briefly stops feeding in the area with relatively high concentration, so as to achieve uniform control of the alumina concentration in the whole cell.

[0009] The implementation method of the multi-mode ALF3 concentration control module is as follows: According to different superheat cell types identified by the superheat identification module, the ALF3 amount is adjusted incrementally / decrementally every 2 to 3 hours. The specific method is as follows: For high-temperature hot cells and hot cells, the ALF3 amount is increased; for normal cells, the original ALF3 amount is maintained; for cold cells and low-temperature cold cells, the ALF3 amount is reduced; for bipolar cells, the ALF3 addition is stopped.

[0010] The implementation method of the multi-stage noise control module is as follows: The noise control level is divided into three levels: level 1 noise (20mv), level 2 noise (50mv), and level 3 noise (100mv). These three grading noise values are modified according to different electrolysis types and cell conditions. Then, the real-time monitored noise value is compared with these three noise values. If the current noise value is higher than one of these three noise values and the superheat identification module identifies that the electrolytic cell is in a cold state, the corresponding working voltage is automatically increased according to the current noise value level (the greater the noise value, the more the working voltage is increased, and the maximum does not exceed 150mv) to increase the heat income. After the cell condition is stable (the real-time noise value is lower than the level 1 noise value), the working voltage is then adjusted down to the original set voltage in stages.

[0011] The implementation method of the furnace type identification module is as follows: A high-precision aluminum tapping device (whether it is common knowledge, such as the name that can be retrieved by Baidu) and a high-precision stroke device (whether it is common knowledge, such as the name that can be retrieved by Baidu) are used as auxiliary tools. The amount of aluminum tapped each time is measured by the high-precision aluminum tapping device, and at the same time, the busbar stroke corresponding to the amount of aluminum tapped this time is measured by the high-precision stroke device, so as to identify the size of the furnace. If the anode stroke per ton of aluminum of a certain electrolytic cell is more than 20% smaller than that of a normal and stable production electrolytic cell, it means that the furnace of this electrolytic cell is larger than that of a normal electrolytic cell, indirectly reflecting that the superheat degree or the bath temperature of this electrolytic cell is more than 3°C higher than that of a normal electrolytic cell, and part of the furnace lining is melted. On the contrary, if the anode stroke per ton of aluminum of a certain electrolytic cell is more than 20% larger than that of a normal and stable production electrolytic cell, it means that the furnace of this electrolytic cell is smaller than that of a normal electrolytic cell, indirectly reflecting that the superheat degree or the bath temperature of this electrolytic cell is more than 3°C lower than that of a normal electrolytic cell, resulting in part of the electrolyte solidifying on the furnace lining.

[0012] The beneficial effects of the present invention: Compared with the prior art, the present invention integrates a large number of on-line and off-line parameters, incorporates "energy balance control" into the control system, and organically combines "energy balance control parameters" with "material balance control parameters", making the alumina concentration control more accurate and efficient. Secondly, the present invention adopts a double-trajectory alumina concentration control technology, and different over / under control strategies are adopted for electrolytic cells with different superheat degrees and different electrolyte compositions, greatly reducing the reverse phenomenon in the alumina concentration control process. Thirdly, the present invention incorporates the ALF3 concentration control and the noise value control into the computer automatic control, effectively solving the phenomenon that the control effects of each production work area vary greatly due to the differences in the technical levels of the management personnel in each work area. Brief Description of the Drawings

[0013] Figure 1 It is a structural schematic diagram of the present invention. Detailed Embodiments

[0014] The present invention will be further introduced below in conjunction with the drawings and specific embodiments.

[0015] Example 1: As Figure 1As shown in the figure, an intelligent control system for aluminum electrolytic cell production includes an alumina concentration identification module, a superheat degree identification module, a double-track alumina concentration control module, a multi-mode ALF3 concentration control module, a multi-level noise control module, and a furnace type identification module. Developers write the control program and monitoring program according to the content of each functional module and install them in the cell controller and the monitor respectively. Then, they set the dynamic parameter reference values (rated current, target voltage, three-level noise value, feeding interval, ALF3 basic feeding amount, over- and under-depth, etc.) according to the static parameters of the current electrolytic cell. After starting the program, each functional module runs. The cell controller transmits the running parameters (voltage, current, noise value, over- and under-ratio, etc.) to the monitor in real time. The monitor forms characteristic curves from the received online data and offline input data. By observing the change trends of each characteristic curve, the reference values of each dynamic parameter are corrected. After that, the system will adjust each dynamic parameter according to the change of the cell condition to make the electrolytic cell operate stably, and finally achieve the goal of efficient and low-consumption control.

[0016] Alumina concentration identification module: The main purpose of this module is to identify the interval where the alumina concentration is located, so as to adopt corresponding control methods to adjust the alumina concentration and ensure that the alumina concentration is within the target control interval. The specific method is to use under-processing (less alumina feeding) first and then over-processing (more alumina feeding) to identify the concentration interval. If the resistance rises during the under-processing stage and the resistance drops during the over-processing stage, it indicates that the alumina concentration is in the left half of the U-shaped curve (target control interval). On the contrary, if the resistance drops during the under-processing stage or the resistance rises during the over-processing stage, it indicates that the alumina concentration is in the right half of the U-shaped curve (high concentration area).

[0017] Superheat Recognition Module: The purpose of this module is to recognize the superheat range of the electrolytic cell, so as to adjust the superheat of the electrolytic cell through the multi-mode ALF3 feeding control module and the multi-stage noise control module, ensuring the energy balance of the electrolytic cell. In the present invention, the superheat of the electrolytic cell is comprehensively recognized by online collecting data (voltage, current, noise value, voltage deviation, etc.) and offline input data (tank temperature, molecular ratio, temperature trend, etc.). According to the recognized superheat, the electrolytic cell is divided into high-temperature hot cell, hot cell, normal cell, cold cell, low-temperature cold cell, and yin-yang cell (high-temperature cold cell, low-temperature hot cell). If the tank temperature is more than 5°C lower than the set target temperature, the noise value is higher than the set target noise value, and the voltage deviation is more than 50 mV from the target voltage, it is judged as a low-temperature cold cell; if the tank temperature is more than 3°C lower than the set target temperature and the noise value is higher than the set target noise value, it is judged as a cold cell; if the tank temperature is within ±3°C of the set target temperature, the noise value is lower than the set target noise value, and the voltage deviation is less than 20 mV, it is judged as a normal cell; if the tank temperature is more than 3°C higher than the set target temperature and the noise value is lower than the set target noise value, it is judged as a hot cell; if the tank temperature is more than 5°C higher than the set target temperature, the noise value is lower than the set target noise value, and the voltage deviation value is less than 20 mV, it is judged as a high-temperature hot cell; if the tank temperature is high and the noise value is high or the tank temperature is low and the noise value is low, the cell is judged as a yin-yang cell.

[0018] Dual-Track Alumina Concentration Control Module: The content of alumina concentration in the electrolyte is one of the main factors affecting electrolytic production: ① When the alumina concentration is too high, the electrolyte cannot dissolve, and excessive alumina will sink to the bottom of the furnace, causing the electrolytic cell to oscillate and even deteriorating the furnace bottom; ② When the alumina concentration is too low, an anode effect will occur. This functional module adjusts the alumina addition amount in real time by using different over / underfeeding methods according to the concentration range identified by the alumina concentration recognition module and the superheat range identified by the superheat recognition module, so as to achieve the purpose of adjusting the alumina concentration. Finally, the alumina concentration is controlled between 1.5% and 2.5% in the left half of the U-shaped curve, enabling the electrolytic cell to achieve the best current efficiency. That is, when the concentration detection module detects that the alumina concentration is in the left half of the U-shaped curve and the resistance change rate dR / dt is relatively sensitive, it indicates that the alumina concentration is in the target control range, and the existing over / underfeeding rate and over / undervoltage amplitude are maintained; if the concentration detection module detects that the alumina concentration is in the right half of the U-shaped curve, after one over / underfeeding cycle, the target voltage is raised according to the voltage deviation value to avoid pressing the electrode distance, and at the same time, the alumina feeding interval is lengthened to quickly adjust the alumina concentration to the target control range. At the same time, according to the type of electrolytic cell identified by the superheat recognition module, if it is a cold cell, the over / under cycle period is automatically shortened and the over / under conversion voltage amplitude is reduced because the solubility of alumina in cold cells is poor and the controllable range of concentration becomes narrow. In addition, for the situation where the local alumina concentration near the new anode is too high after anode replacement, this module automatically reduces the feeding frequency or briefly stops feeding in the area with high concentration to achieve uniform control of the alumina concentration in the whole cell.

[0019] Multi - mode ALF3 Concentration Control Module: The ALF3 concentration is one of the key factors affecting the primary crystallization temperature of the electrolyte and is also one of the important means to adjust the superheat of the electrolytic cell. The traditional aluminum fluoride feeding mode is time - based feeding. The workshop foreman sets the daily aluminum fluoride addition amount according to the cell temperature of the previous day, and then the cell control machine evenly distributes the set addition amount over 24 hours for addition. This method has a single reference parameter and poor real - time performance. The multi - mode automatic ALF3 concentration control is that the computer adjusts the increase / decrease of the ALF3 amount every 2 - 3 hours according to different superheat cell types identified by the superheat recognition module. The evaluation conditions are sufficient and the real - time performance is good, realizing intelligent control in multiple modes and effectively adjusting the primary crystallization temperature of the electrolytic cell. Specifically, for high - temperature hot cells and hot cells, increase the addition amount of ALF3; for normal cells, keep the original ALF3 amount; for cold cells and low - temperature cold cells, reduce the addition amount of ALF3; stop adding ALF3 to anode and cathode cells.

[0020] Multi - level Noise Control Module: The magnitude of the electrolytic cell noise value indirectly reflects the stability of the electrolytic cell production and also indirectly reflects the magnitude of the "superheat" of the electrolytic cell. Multi - level noise control can effectively adjust the heat input of the electrolytic cell and is another important means to adjust the superheat of the electrolytic cell. This module divides the noise control level into three levels: level - one noise (20mv), level - two noise (50mv), and level - three noise (100mv). The magnitudes of these three grading noise values can be modified according to different electrolysis types and cell conditions. Then, compare the real - time monitored noise value with these three noise values. If the current noise value is higher than one of these three noise values and the superheat recognition module identifies that the electrolytic cell is in a cold state, automatically increase the corresponding working voltage according to the current noise value level (the greater the noise value, the more the working voltage is increased, with a maximum of no more than 150mv) to increase the heat input. After the cell condition stabilizes (the real - time noise value is lower than the level - one noise value), gradually lower the working voltage to the original set voltage in stages, effectively adjusting the heat balance and improving the stability of the electrolytic cell.

[0021] Furnace type identification module: The efficient, low-consumption, and long-life stable production operation of an aluminum electrolysis cell depends on a good furnace lining. Only a good furnace lining can ensure the accuracy of other parameter identifications. The furnace type is one of the conditions used to assist in identifying the energy balance of the electrolysis cell. In this invention, a high-precision tapping device and a high-precision travel device are used as auxiliary tools. The amount of aluminum tapped each time is measured by the high-precision tapping device, and at the same time, the busbar travel corresponding to this amount of aluminum tapped is measured by the high-precision travel device, thereby identifying the size of the furnace lining. If the anode travel per ton of aluminum of a certain electrolysis cell is more than 20% smaller than that of a normally and stably operating electrolysis cell, it indicates that the furnace lining of this electrolysis cell is larger than that of a normal electrolysis cell, indirectly reflecting that the superheat degree or bath temperature of this electrolysis cell is more than 3°C higher than that of a normal electrolysis cell, melting part of the side ledge; conversely, if the anode travel per ton of aluminum of a certain electrolysis cell is more than 20% larger than that of a normally and stably operating electrolysis cell, it indicates that the furnace lining of this electrolysis cell is smaller than that of a normal electrolysis cell, indirectly reflecting that the superheat degree or bath temperature of this electrolysis cell is more than 3°C lower than that of a normal electrolysis cell, resulting in part of the electrolyte solidifying on the side ledge.

[0022] The system has the following advantages:

[0023] 1. There are many judgment conditions, high control precision, and high reliability.

[0024] 2. Energy balance and material balance are detected and controlled simultaneously, improving the accuracy of alumina concentration control and the current efficiency.

[0025] 3. Since this method is automatically executed in a unified standard by a computer, it greatly reduces the situation where production efficiency varies due to uneven levels of production management personnel, reduces the labor intensity of workers, and improves the production efficiency of the whole plant.

[0026] As described above, the above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. An intelligent control system for aluminum electrolysis cell production, characterized in that: It includes an alumina concentration identification module, a superheat identification module, a dual-trajectory alumina concentration control module, a multi-mode ALF3 concentration control module, a multi-stage noise control module, and a furnace type identification module. Based on establishing the best relationship between the "static balance parameters" and "current efficiency" of the aluminum electrolytic cell, the control system realizes the intelligent control of the key parameters of "dynamic balance" during the production process of the aluminum electrolytic cell. That is, through the comprehensive analysis of the data of on-line measured voltage, current, noise value, over- and under-ratio and the data of off-line input cell temperature, molecular ratio, and temperature trend, combined with the furnace type identification of the furnace type identification module, and cooperating with the alumina concentration identification module and the superheat identification module to identify the alumina concentration and superheat of the electrolytic cell. Taking the alumina concentration and superheat as feedback, the dual-trajectory alumina concentration control module, the multi-mode ALF3 concentration control module, and the multi-stage noise control module are used to realize the intelligent control of "alumina concentration", "aluminum fluoride concentration", "superheat", "noise value", and "voltage balance" of the electrolytic cell; The implementation method of the alumina concentration identification module is as follows: identify the interval where the alumina concentration is located, and adopt corresponding control methods to adjust the alumina concentration to ensure that the alumina concentration is within the target control interval. That is, the specific method is: use under-processing first and then over-processing to identify the concentration interval. If the resistance rises during the under-processing stage and the resistance drops during the over-processing stage, it indicates that the alumina concentration is in the left half of the U-shaped curve, that is, the target control interval. On the contrary, if the resistance drops during the under-processing stage or the resistance rises during the over-processing stage, it indicates that the alumina concentration is in the right half of the U-shaped curve, that is, the high-concentration area; The implementation method of the superheat identification module is as follows: identify the superheat interval of the electrolytic cell, and adjust the superheat of the electrolytic cell through the multi-mode ALF3 feeding control module and the multi-stage noise control module to ensure the energy balance of the electrolytic cell. That is, the specific method is: comprehensively identify the superheat of the electrolytic cell through the on-line collected data of voltage, current, noise value and voltage deviation and the off-line input data of cell temperature, molecular ratio, and temperature trend. According to the identified superheat, the electrolytic cell is divided into high-temperature hot cell, hot cell, normal cell, cold cell, low-temperature cold cell, and yin-yang cell; if the cell temperature is more than 5°C lower than the set target temperature, the noise value is higher than the set target noise value, and the voltage deviation is more than 50 mV from the target voltage, it is judged as a low-temperature cold cell; if the cell temperature is more than 3°C lower than the set target temperature and the noise value is higher than the set target noise value, it is judged as a cold cell; if the cell temperature is within ±3°C of the set target temperature, the noise value is lower than the set target noise value, and the voltage deviation is less than 20 mV, it is judged as a normal cell; If the cell temperature is more than 3°C higher than the set target temperature and the noise value is lower than the set target noise value, it is judged as a hot cell; If the cell temperature is more than 5°C higher than the set target temperature, the noise value is lower than the set target noise value, and the voltage deviation value is less than 20 mV, it is judged as a high-temperature hot cell; A cell with a high cell temperature and a high noise value or a low cell temperature and a low noise value is judged as a yin-yang cell; The implementation method of the double-track alumina concentration control module is as follows: According to the concentration range identified by the alumina concentration identification module and the superheat range identified by the superheat identification module, different over / under methods are used to adjust the alumina addition amount in real time. Finally, the alumina concentration is controlled between 1.5% and 2.5% in the left half of the U-shaped curve, so that the electrolytic cell reaches the best current efficiency. That is, the specific method is: when the concentration detection module detects that the alumina concentration is in the left half of the U-shaped curve, it indicates that the alumina concentration is in the target control range, and the existing over / under feeding rate and over / under voltage amplitude are maintained; if the alumina concentration identification module detects that the alumina concentration is in the right half of the U-shaped curve, after one over / under feeding cycle ends, the target voltage is raised according to the voltage deviation value and the alumina feeding interval is lengthened at the same time to adjust the alumina concentration to the target control range; at the same time, according to the type of electrolytic cell identified by the superheat identification module, if it is a cold cell, the over / under cycle period is automatically shortened and the over / under conversion voltage amplitude is reduced. The implementation method of the multi-mode ALF3 concentration control module is as follows: According to the different superheat cell types identified by the superheat identification module, the ALF3 amount is adjusted incrementally / decrementally every 2 to 3 hours. That is, the specific method is: for high-temperature hot cells and hot cells, the ALF3 amount is increased; for normal cells, the original ALF3 amount is maintained; for cold cells and low-temperature cold cells, the ALF3 amount is reduced; for anode and cathode cells, the ALF3 addition is stopped.

2. The intelligent control system for aluminum electrolytic cell production according to claim 1, wherein: In response to the situation that the local alumina concentration near the new anode is relatively high after the anode is replaced, the track alumina concentration control module automatically reduces the feeding frequency or temporarily stops feeding in the area with high concentration, so as to achieve uniform control of the alumina concentration in the whole cell.

3. The intelligent control system for aluminum electrolytic cell production according to claim 1, characterized in that: The implementation method of the multi-stage noise control module is as follows: The noise control level is divided into three levels: primary noise, secondary noise, and tertiary noise. The magnitudes of these three classification noise values are modified according to different electrolysis types and cell conditions. Then, the real-time monitored noise value is compared with these three noise values. If the current noise value is higher than one of these three noise values, and the superheat identification module identifies that the electrolytic cell is in a cold state, the corresponding working voltage is automatically increased according to the current noise value level to increase the heat income. After the cell condition is stable, the working voltage is then adjusted down to the original set voltage in stages.

4. An intelligent control system for aluminum electrolytic cell production according to claim 1, characterized in that: The implementation method of the hearth type identification module is as follows: According to the measured amount of aluminum tapped each time and the busbar travel corresponding to this amount of aluminum tapped, the size of the hearth is identified. That is, the specific method is: if the anode travel per ton of aluminum of a certain electrolytic cell is more than 20% smaller than that of a normal and stable production electrolytic cell, it indicates that the hearth of this electrolytic cell is larger than that of a normal electrolytic cell, indirectly reflecting that the superheat or cell temperature of the electrolytic cell is more than 3°C higher than that of a normal electrolytic cell, melting part of the furnace lining; on the contrary, if the anode travel per ton of aluminum of a certain electrolytic cell is more than 20% larger than that of a normal and stable production electrolytic cell, it indicates that the hearth of this electrolytic cell is smaller than that of a normal electrolytic cell, indirectly reflecting that the superheat or cell temperature of the electrolytic cell is more than 3°C lower than that of a normal electrolytic cell, resulting in part of the electrolyte solidifying on the furnace lining.

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