Anode detection system and method for aluminum electrolysis cell

Abstract

The invention discloses an anode detection system of an aluminum electrolysis cell and an anode detection method of the aluminum electrolysis cell, relates to the technical field of aluminum electrolysis, and can improve the accuracy of current detection so as to improve the operation stability of the aluminum electrolysis cell. The anode detection system of the aluminum electrolysis cell comprises the aluminum electrolysis cell, wherein the aluminum electrolysis cell comprises an anode frame, an anode, a paste layer, a bus, a plurality of aluminum soft belts and a plurality of anode guide rods; the detection device is connected between the current distribution detection method anode guide rod and the current distribution detection method aluminum soft belt, and the current distribution detection method detection device is used for detecting voltages of a plurality of current distribution detection method first detection point positions; the data acquisition module is electrically connected with the current distribution detection method detection device, and the current distribution detection method data acquisition module is used for performing analog-to-digital conversion on each current distribution detection method first voltage signal to obtain first voltage data; and the data processing module is in communication connection with the current distribution detection method data acquisition module.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aluminum electrolysis, and in particular to an anode detection system of an aluminum electrolysis cell and an anode detection method of an aluminum electrolysis cell. BACKGROUND

[0002] In the aluminum electrolysis production process, pure aluminum liquid is obtained through high-temperature electrochemical reaction by taking alumina as a raw material and taking fused cryolite as a solvent. The cathode current distribution of the aluminum electrolysis cell plays an important role in the judgment and control of the thermal balance of the electrolysis cell, and the cathode current distribution deviation directly affects the quality of anode baking and is related to whether the electrolysis production can be carried out normally and stably. However, in the existing continuous anode aluminum electrolysis production, manual single-point testing is usually adopted, the single-point testing method can only obtain current data at limited positions and cannot comprehensively reflect the current distribution condition of the entire continuous anode surface, the precision of current detection is low, and the running stability of the aluminum electrolysis cell is affected. SUMMARY

[0003] The anode detection system of the aluminum electrolysis cell and the anode detection method of the aluminum electrolysis cell can improve the precision of current detection and further improve the running stability of the aluminum electrolysis cell.

[0004] In a first aspect, the present application provides an anode detection system of an aluminum electrolysis cell, comprising: The aluminum electrolysis cell comprises an anode frame, an anode, a paste layer, a bus bar, a plurality of aluminum soft belts and a plurality of anode guide rods, the bus bar is connected with the anode guide rods through the aluminum soft belts, the anode guide rods are connected with the anode, the anode is arranged in the anode frame, and the paste layer covers the anode and the anode frame, wherein each anode guide rod is provided with at least one first monitoring point; A current source is electrically connected with the bus bar, and the current output by the current source flows through the bus bar, the aluminum soft belts and the anode guide rods into the anode in sequence; A detection device is connected between the anode guide rods and the aluminum soft belts, and the detection device is used for detecting the voltages of the plurality of first monitoring points to obtain a plurality of first voltage signals; A data acquisition module is electrically connected with the detection device, and the data acquisition module is used for performing analog-digital conversion on each first voltage signal to obtain first voltage data; A data processing module is in communication connection with the data acquisition module, and the data processing module is used for calculating the current of each anode guide rod according to the first voltage data to obtain a plurality of first current data; The data processing module is configured to input two first current data of any two adjacent anode guide rods in the same time period into a Pearson correlation coefficient algorithm to obtain first anode current distribution data; and / or, The data processing module is configured to input two first current data corresponding to the same anode guide rod in different time periods into the Pearson correlation coefficient algorithm to obtain second anode current distribution data.

[0005] In some embodiments, the data processing module is electrically connected to the data acquisition module, and the data processing module is configured to store an anode current threshold value, and to determine whether the first anode current distribution data is less than the anode current threshold value, and to generate a first alarm signal if the first anode current distribution data is less than the anode current threshold value; and / or, The data processing module is configured to determine whether the second anode current distribution data is less than the anode current threshold value, and to generate a second alarm signal if the second anode current distribution data is less than the anode current threshold value.

[0006] In some embodiments, the aluminum electrolysis cell comprises a plurality of conductive bodies electrically connected to the anode frame, and the conductive bodies are configured to guide an electric signal in the anode guide rod to the anode, wherein each conductive body is provided with at least one second detection point; The detection device is configured to detect the voltage of a plurality of second detection points to obtain a plurality of second voltage signals; The data processing module is configured to perform analog-to-digital conversion on each second voltage signal to obtain second voltage data; The data processing module is configured to calculate the current of each conductive body according to the second voltage data to obtain a plurality of second current data; The data processing module is configured to input two second current data of any two adjacent conductive bodies in the same time period into a Pearson correlation coefficient algorithm to obtain third anode current distribution data; and / or, The data processing module is configured to input two second current data corresponding to the same conductive body in different time periods into the Pearson correlation coefficient algorithm to obtain fourth anode current distribution data; The data processing module is configured to determine whether the third anode current distribution data is less than the anode current threshold value, and to generate a third alarm signal if the third anode current distribution data is less than the anode current threshold value; and / or, The data processing module is configured to determine whether the fourth anode current distribution data is less than the anode current threshold value, and to generate a fourth alarm signal if the fourth anode current distribution data is less than the anode current threshold value.

[0007] In some embodiments, the aluminum electrolytic cell comprises a plurality of thermocouples embedded in the anode, wherein each of the thermocouples is provided with at least one third detection point; The detection device is used to detect the voltage of the plurality of third detection points to obtain a plurality of third voltage signals; The data processing module is used to perform analog-to-digital conversion on each of the third voltage signals to obtain third voltage data; The data processing module is used to calculate the current of each of the thermocouples according to the third voltage data to obtain a plurality of third current data; The data processing module is used to input the two third current data of any two adjacent thermocouples in the same time period into a Pearson correlation coefficient algorithm to obtain fifth anode current distribution data; and / or, The data processing module is used to input the two third current data corresponding to the same thermocouple in different time periods into the Pearson correlation coefficient algorithm to obtain sixth anode current distribution data; The data processing module is used to determine whether the fifth anode current distribution data is less than an anode current threshold, and generate a fifth alarm signal in the case that the fifth anode current distribution data is less than the anode current threshold; and / or, The data processing module is used to determine whether the sixth anode current distribution data is less than an anode current threshold, and generate a sixth alarm signal in the case that the sixth anode current distribution data is less than the anode current threshold.

[0008] In some embodiments, the anode detection system of the aluminum electrolytic cell further comprises: A warning module in communication with the data processing module, the warning module being used to generate an alarm in the case that an alarm signal is received, wherein the anode current distribution data comprises the first alarm signal, the second alarm signal, the third alarm signal, the fourth alarm signal, the fifth alarm signal, and the sixth alarm signal; A data storage module connected with the data acquisition module and the data processing module, the data storage module being used to store the voltage signals acquired by the acquisition module and the voltage data after analog-to-digital conversion by the data processing module, wherein the voltage signals comprise the first voltage signal, the second voltage signal, and the third voltage signal, and the voltage data comprise the first voltage data, the second voltage data, and the third voltage data.

[0009] In some embodiments, the anode detection system of the aluminum electrolytic cell further comprises: A human-computer interaction module, communicatively connected to the data processing module, includes: A visual interaction unit is configured to generate an anode current gradient distribution heatmap based on the anode current distribution data output by the data processing module, and / or, the visual interaction unit is configured to generate an anode current gradient distribution alarm map based on the anode current distribution data generated by the data processing module, and / or, the visual interaction unit is configured to generate a historical trend comparison curve of the anode current gradient distribution based on the anode current distribution data, wherein the anode current distribution data includes the first anode current distribution data, the second anode current distribution data, the third anode current distribution data, the fourth anode current distribution data, the fifth anode current distribution data, and the sixth anode current distribution data; The auditory interaction unit and the visual interaction unit are equipped with graded alarm sound effects. The visual interaction unit is used to play an alarm voice when the anode current distribution data is lower than the anode current threshold.

[0010] A second aspect of this application provides an anode detection method for an aluminum electrolytic cell, applied to the anode detection system for the aluminum electrolytic cell described in the first aspect, the anode detection method for the aluminum electrolytic cell comprising: Multiple first detection points of multiple anode rods are subjected to electrical signal detection to obtain multiple first voltage signals; Each of the first voltage signals is converted from analog to digital to obtain the first voltage data; The current of each anode conductor is calculated based on the first voltage data to obtain multiple first current data. Input the first current data of any two adjacent anode conductors within the same time period into the Pearson correlation coefficient algorithm to obtain the first anode current distribution data; and / or, The first current data corresponding to the same anode conductor in two different time periods are input into the Pearson correlation coefficient algorithm to obtain the second anode current distribution data. In some embodiments, the anode detection method for the aluminum electrolytic cell further includes: The first anode current distribution data is compared with the anode current threshold to determine whether the first anode current distribution data is less than the anode current threshold. If the first anode current distribution data is less than the anode current threshold, a first alarm signal is generated; and / or, The second anode current distribution data is compared with the anode current threshold to determine whether the second anode current distribution data is less than the anode current threshold. If the second anode current distribution data is less than the anode current threshold, a second alarm signal is generated.

[0011] In some embodiments, the anode detection method for the aluminum electrolytic cell further includes: Electrical signals are detected at multiple second detection points on multiple conductors to obtain a second voltage signal; Each of the second voltage signals is converted from analog to digital to obtain the second voltage data; The current of each conductor is calculated based on the second voltage data to obtain multiple second current data. The data processing module is used to input the second current data of any two adjacent conductors within the same time period into the Pearson correlation coefficient algorithm to obtain the third anode current distribution data; and / or, The second current data corresponding to the same conductor in two different time periods are input into the Pearson correlation coefficient algorithm to obtain the fourth anode current distribution data. The third anode current distribution data is compared with the anode current threshold to determine whether the third anode current distribution data is less than the anode current threshold. If the third anode current distribution data is less than the anode current threshold, a third alarm signal is generated; and / or, The fourth anode current distribution data is compared with the anode current threshold to determine whether the fourth anode current distribution data is less than the anode current threshold. If the fourth anode current distribution data is less than the anode current threshold, a fourth alarm signal is generated.

[0012] In some embodiments, the anode detection method for the aluminum electrolytic cell further includes: Electrical signals are detected at multiple third detection points of multiple thermocouples to obtain third voltage signals; Each of the third voltage signals is converted from analog to digital to obtain the third voltage data; The current of each thermocouple is calculated based on the third voltage data to obtain multiple third current data. The data processing module is used to input the two third current data of any two adjacent thermocouples within the same time period into the Pearson correlation coefficient algorithm to obtain the fifth anode current distribution data; and / or, By inputting the two third current data corresponding to the same thermocouple in two different time periods into the Pearson correlation coefficient algorithm, the sixth anode current distribution data is obtained. The fifth anode current distribution data is compared with the anode current threshold to determine whether the fifth anode current distribution data is less than the anode current threshold. If the fifth anode current distribution data is less than the anode current threshold, a fifth alarm signal is generated; and / or, The sixth anode current distribution data is compared with the anode current threshold to determine whether the sixth anode current distribution data is less than the anode current threshold. If the sixth anode current distribution data is less than the anode current threshold, a sixth alarm signal is generated. The method for detecting the anode of the aluminum electrolytic cell further includes: Thicken the paste layer; After the thickening process, electrical signals are detected at multiple third detection points of multiple thermocouples to obtain the third voltage signal after the thickening process. Each of the thickened third voltage signals is converted from analog to digital to obtain the thickened third voltage data. The current of each thermocouple is calculated based on the third voltage data after the thickening process, resulting in multiple third current data after the thickening process. The data processing module is used to input the two thickened third current data of any two adjacent thermocouples within the same time period into the Pearson correlation coefficient algorithm to obtain the thickened fifth anode current distribution data; and / or, By inputting the two thickened third current data corresponding to the same thermocouple in two different time periods into the Pearson correlation coefficient algorithm, the thickened sixth anode current distribution data is obtained.

[0013] This embodiment of the application sets at least one first detection point on each anode steel bar of the aluminum electrolysis cell, and uses a detection device to detect multiple first detection points in real time to obtain a first voltage signal. A data acquisition module converts these multiple first voltage signals into multiple first voltage data. A data processing module calculates the equidistant voltage drop based on the first voltage data of two adjacent anode rods, and calculates the first current data based on the equidistant voltage drop and equidistant resistance. The data processing module inputs two first current data points from any two adjacent anode rods within the same time period into a Pearson correlation coefficient algorithm to obtain first anode current distribution data. Alternatively, the data processing module can input two first current data points from the same anode rod within two different time periods into a Pearson correlation coefficient algorithm to obtain second anode current distribution data. The first and second anode current distribution data output by the data processing module can reflect the current distribution data or dataset of multiple anode rods, as well as the current gradient distribution of the same anode rod at different time periods. During the continuous calcination of the anode in the continuous anode aluminum electrolysis cell, this current gradient distribution data can reflect the current distribution of the entire anode, rather than the current value at a certain point on the anode, thus improving the accuracy of anode current detection and thereby improving the operational stability of the continuous anode aluminum electrolysis cell. Attached Figure Description

[0014] Figure 1 This application provides a schematic structural diagram of an anode detection system for an aluminum electrolytic cell; Figure 2 A schematic structural diagram of an anode detection system for another aluminum electrolytic cell provided in this application embodiment; Figure 3 This is a schematic flowchart illustrating the anode detection method for an aluminum electrolytic cell provided in an embodiment of this application. Detailed Implementation

[0015] To better understand the technical solutions provided in the embodiments of this specification, the technical solutions of the embodiments of this specification will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of this specification and the specific features in the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. In the absence of conflict, the embodiments of this specification and the technical features in the embodiments can be combined with each other.

[0016] In this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, without necessarily requiring or implying any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. The term "two or more" includes two or more cases.

[0017] In the aluminum electrolysis production process, alumina is used as the raw material, and molten cryolite is used as the solvent. A pure molten aluminum is obtained through a high-temperature electrochemical reaction. The cathode current distribution in the aluminum electrolysis cell plays a crucial role in determining and controlling the cell's thermal balance. A bias in the cathode current distribution directly affects the anode roasting quality and is related to whether electrolysis production can proceed normally and stably. However, in existing continuous anode aluminum electrolysis production, manual single-point testing is typically used. This single-point testing method can only obtain current data at a limited location, failing to comprehensively reflect the current distribution across the entire continuous anode surface. The accuracy of current detection is low, affecting the operational stability of the aluminum electrolysis cell.

[0018] A first aspect of this application provides an anode detection system for an aluminum electrolytic cell. Figure 1 This application provides a schematic structural diagram of an anode detection system for an aluminum electrolytic cell.Figure 2 This application provides a schematic structural diagram of another anode detection system for an aluminum electrolytic cell. For example, refer to Figures 1 to 12. Figure 2The anode detection system for an aluminum electrolytic cell includes an aluminum electrolytic cell 100, a current source 200, a detection device 300, a data acquisition module 400, and a data processing module 500. The aluminum electrolytic cell 100 includes an anode frame 110, an anode 120, a paste layer 130, a busbar 140, multiple aluminum flexible strips 150, and multiple anode guide rods 160. The busbar 140 is connected to the anode guide rods 160 via the aluminum flexible strips 150. The anode guide rods 160 are connected to the anode 120. The multiple anode guide rods 160 are located on different sides of the anode 120, and those on the same side are evenly spaced. The anode 120 is disposed within the anode frame 110. The paste layer 130 covers the outer surfaces of the anode 120 and the anode frame 110. After sintering, the anode 120 and the anode frame 110 form an integral structure. Each anode guide rod 160 is provided with at least one first detection point 161. The current source 200 is electrically connected to the busbar 140. The current output from the current source 200 flows sequentially through the busbar 140, the aluminum flexible strip 150, and the anode guide rod 160 before entering the anode 120. The detection device 300 is connected between the anode guide rod 160 and the aluminum flexible strip 150. The detection device 300 can detect the voltage of multiple first detection points 161 in real time, obtaining multiple first voltage signals. The voltages of the multiple first detection points 162 can be acquired synchronously. The data acquisition module 400 is electrically connected to the detection device 300. The data acquisition module 400 is equipped with an analog-to-digital conversion unit. The data acquisition module 400 can perform analog-to-digital conversion on each first voltage signal to obtain first voltage data. The data processing module 500 is communicatively connected to the data acquisition module 400. The data processing module 500 can calculate the current flowing through each anode rod 160 based on the first voltage data to obtain multiple first current data. The data processing module 500 can calculate the equidistant voltage drop based on the first current data of any two adjacent anode rods. Based on the equidistant voltage drop and equidistant resistance, the first current data can be calculated. This differential calculation method can cancel the potential fluctuations and noise interference in the transmission process of the electrical signal between adjacent anode rods, providing standardized data support for subsequent data analysis. The data processing module 500 can input two first current data points from any two adjacent anode rods 160 within the same time period into the Pearson correlation coefficient algorithm to obtain the first anode current distribution data. The data processing module 500 can also input two first current data points from the same anode rod 160 within two different time periods into the Pearson correlation coefficient algorithm to obtain the second anode current distribution data. Ultimately, the current data detected by the anode detection system of the aluminum electrolysis cell is not a single value, but rather contains multiple current distribution data or datasets that reflect the current distribution gradients of multiple anode rods. During the continuous calcination process of the anode in the continuous anode aluminum electrolysis cell, the current distribution across the entire anode surface can be accurately detected, improving the accuracy of anode current detection and thus enhancing the operational stability of the continuous anode aluminum electrolysis cell.

[0019] For example, refer to Figures 1 to 2 The anode frame 110 has a length of l = 3000 mm, a width of d = 2400 mm, and a height of h = 740 mm. Four anode guide rods are respectively arranged on both sides of the anode frame along its width-length extension direction: the first anode guide rod A1, the second anode guide rod A2, the third anode guide rod A3, the fourth anode guide rod A4, the fifth anode guide rod B1, the sixth anode guide rod B2, the seventh anode guide rod B3, and the fourth anode guide rod B4. Taking the adjacent first anode guide rod A1 and the second anode guide rod A2 as an example, the data processing module calculates the current I of the first anode guide rod A1 within the same time period. A1 (t), the current in the second anode conductor A2 is I A2 (t), the sampling frequency is set to 20Hz, and the acquisition time is 10min; where In=U / R, U is the voltage drop between two adjacent anode conductors, and R is the equidistant resistance.

[0020] Substituting into the Pearson correlation coefficient formula to calculate the degree of linear correlation (1), the first anodic distribution data r1 is: (1) in, , These represent the average current values ​​of multiple sampling points on the two anode rods within 0 to 10 minutes, where n represents the number of samples, p=1 represents one sample, and p=n represents n samples. The number of samples per minute is one.

[0021] Specifically, the currents of the first anode rod A1 and the second anode rod A2 are selected, and the first 10 sampling points are shown in Table 1: Table 1

[0022] Calculate the average current of the first anode rod A1 and the second anode rod A2: (1250+1252+1248+1251+1249+1253+1250+1247+1252+1249)=1250A (1245+1230+1243+1228+1244+1232+1245+1225+1230+1244)=1235.1A Calculate covariance and standard deviation covariance

[0023] (1250-1250)(1245-1235.1)+(1252-1250)(1230-1235.1)+(1248-1250)(1243-1235.1)+(1251-1250)(1228-1235.1)+(1249-1250)(1244-1235.1)+(1253-1250)(1232-1235.1)+(1250-1250)(1245-1235.1)+(1247-1250)(1225-1235.1)+(1252-1250)(1230-1235.1)+(1249-1250)(1244-1235.1)=48.9 Standard deviation of first anode guide rod A1

[0024]

[0025] Standard deviation of second anode guide rod A2

[0026]

[0027] Calculate the Pearson correlation coefficient, i.e., the first current distribution data r1.

[0028] In some examples, taking the same first anode conductor A1 in two different time periods as an example, the current of the first anode conductor A1 in the first time period is Iref(t), and the current of the first anode conductor A1 in the second time period is Itest(t). The sampling frequency is set to 20Hz and the acquisition time is 10min. Calculate the mean of the two sets of signals within 0 to 10 minutes. , ; Substituting into the Pearson correlation coefficient formula to calculate the linear correlation degree formula (2), the second anode current distribution data r2 is: (2) Where n represents the number of samples, p=1 represents one sample, p=n represents n samples, and one sample is taken per minute.

[0029] Specifically, the current before and after adding the paste to the first anode conductor A1 was selected, and the first 10 sampling points are shown in Table 2: Table 2

[0030] Calculate the average current of the first anode rod A1 before and after adding the paste: (1250+1252+1248+1251+1249+1253+1250+1247+1252+1249)=1250A (1235+1237+1233+1236+1234+1238+1235+1232+1237+1234)=1235A Calculate covariance and standard deviation covariance

[0031] (1250 1250)(1235 1235)+(1252 1250)(1237 1235)+(1248 1250)(1233 1235)+(1251 1250)(1236 1235)+(1249 1250)(1234 1235)+(1253 1250)(1238 1235)+(1250 1250)(1235 1235)+(1247 1250)(1232 1235)+(1252 1250)(1237 1235)+(1249 1250)(1234 1235) =0+2×2+(-2)×(-2)+1×1+(-1)×(-1)+3×3+0+(-3)×(-3)+2×2+(-1)×(-1) =0+4+4+1+1+9+0+9+4+1=33 Reference signal standard deviation

[0032]

[0033] Standard deviation of detection signal

[0034]

[0035] Calculate the Pearson correlation coefficient, i.e., the second current distribution data r2.

[0036] By calculating the Pearson correlation coefficient, the overall anode current distribution of a continuous anode can be understood relatively effectively. This current gradient distribution data can reflect the current distribution of the entire anode, and the current value at a certain point of the anode can be compared with the current value at a certain point of the anode, which improves the accuracy of anode current detection and thus improves the operational stability of the continuous anode aluminum electrolysis cell.

[0037] This embodiment of the application sets at least one first detection point on each anode steel bar of the aluminum electrolysis cell, and uses a detection device to detect multiple first detection points in real time to obtain a first voltage signal. A data acquisition module converts these multiple first voltage signals into multiple first voltage data. A data processing module calculates the equidistant voltage drop based on the first voltage data of two adjacent anode rods, and calculates the first current data based on the equidistant voltage drop and equidistant resistance. The data processing module inputs two first current data points from any two adjacent anode rods within the same time period into a Pearson correlation coefficient algorithm to obtain first anode current distribution data. Alternatively, the data processing module can input two first current data points from the same anode rod within two different time periods into a Pearson correlation coefficient algorithm to obtain second anode current distribution data. The first and second anode current distribution data output by the data processing module can reflect the current distribution data or dataset of multiple anode rods, as well as the current gradient distribution of the same anode rod at different time periods. During the continuous calcination of the anode in the continuous anode aluminum electrolysis cell, this current gradient distribution data can reflect the current distribution of the entire anode, rather than the current value at a certain point on the anode, thus improving the accuracy of anode current detection and thereby improving the operational stability of the continuous anode aluminum electrolysis cell.

[0038] In some implementations, the data processing module 400 is electrically connected to the data acquisition module 500. The data processing module 500 is used to store the anode current threshold and to determine whether the first anode current distribution data is less than the anode current threshold. If the first anode current distribution data is less than the anode current threshold, a first alarm signal is generated.

[0039] For example, in the calculation of the distribution data of any two adjacent anode conductors within the same time period, the anode current threshold is 0.6. When r1≥0.8, it is determined that the anode current distribution is good, the current does not jump significantly, and there is no alarm signal. When 0.6≤r1<0.8, it is determined that the current may be abnormal, and a weak correlation alarm signal is generated, requiring on-site operators to check the operation of the aluminum electrolysis cell. When r1=0.46<0.6, it is determined to be a strong anomaly, and the first alarm signal is generated, requiring on-site operators to adjust the operating conditions.

[0040] In some implementations, the data processing module 500 is used to determine whether the second anode current distribution data is less than the anode current threshold, and if the second anode current distribution data is less than the anode current threshold, a second alarm signal is generated.

[0041] For example, when calculating the current distribution data corresponding to the same anode conductor in two different time periods, the anode current threshold is 0.85. A value of r2 ≥ 0.85 indicates stability, while r2 < 0.85 indicates anomaly. Comparing the operating conditions before and after paste replenishment, a value of r2 ≥ 0.7 indicates stability, while r2 < 0.7 indicates anomaly. When r2 = 1.0 ≥ 0.8, the operation is stable.

[0042] This embodiment of the application, through the setup of a detection device, a data acquisition module, and a data processing module, can acquire the anode rod current in real time without manual detection. Furthermore, by comparing the anode current distribution data with the anode current threshold, an alarm signal can be output to accurately determine the anode current distribution. While achieving high-precision real-time monitoring, it also has good adaptability to production environments with varying currents, thereby improving the operational stability of the continuous anode aluminum electrolysis cell.

[0043] In some embodiments, the aluminum electrolytic cell includes a plurality of conductors 170, which are electrically connected to the anode frame 110. The conductors 170 are used to introduce electrical signals from the anode rod 160 into the anode 120. Each conductor 170 is provided with at least one second detection point 171. For example, the detection device 300 can simultaneously detect the voltage of multiple second detection points 171 to obtain multiple second voltage signals; the data processing module can perform analog-to-digital conversion on each second voltage signal to obtain second voltage data; the data processing module can calculate the current of each conductor based on the second voltage data to obtain multiple second current data; the data processing module can input two second current data of any two adjacent conductors within the same time period into the Pearson correlation coefficient algorithm to obtain third anode current distribution data; the data processing module can input two second current data corresponding to the same conductor within two different time periods into the Pearson correlation coefficient algorithm to obtain fourth anode current distribution data; the data processing module can determine whether the third anode current distribution data is less than the anode current threshold, and generate a third alarm signal if the third anode current distribution data is less than the anode current threshold. The data processing module is used to determine whether the fourth anode current distribution data is less than the anode current threshold, and generate a fourth alarm signal if the fourth anode current distribution data is less than the anode current threshold.

[0044] It should be noted that the calculation method for the third anode current distribution data can refer to the first anode current distribution data, and the calculation method for the fourth anode current distribution data can refer to the second anode current distribution data. Then, based on the comparison with the anode threshold current, the corresponding third and fourth alarm signals are generated.

[0045] In some implementations, reference Figures 1 to 2 The aluminum electrolytic cell includes multiple thermocouples 180, which are embedded in the anode 120. Each thermocouple 180 is provided with at least one third detection point 181. For example, the detection device 300 is used to detect the voltage of multiple third detection points 181 to obtain multiple third voltage signals; the data processing module can perform analog-to-digital conversion on each third voltage signal to obtain third voltage data; the data processing module can calculate the current of each thermocouple based on the third voltage data to obtain multiple third current data; the data processing module can input the two third current data of any two adjacent thermocouples within the same time period into the Pearson correlation coefficient algorithm to obtain the fifth anode current distribution data; the data processing module can input the two third current data corresponding to the same thermocouple within two different time periods into the Pearson correlation coefficient algorithm to obtain the sixth anode current distribution data; the data processing module is used to determine whether the fifth anode current distribution data is less than the anode current threshold, and if the fifth anode current distribution data is less than the anode current threshold, a fifth alarm signal is generated; the data processing module is used to determine whether the sixth anode current distribution data is less than the anode current threshold, and if the sixth anode current distribution data is less than the anode current threshold, a sixth alarm signal is generated.

[0046] It should be noted that the calculation method for the fifth anode current distribution data can refer to the first anode current distribution data, and the calculation method for the sixth anode current distribution data can refer to the second anode current distribution data. Then, based on the comparison with the anode threshold current, the corresponding fifth and sixth alarm signals are generated.

[0047] The anode detection system for aluminum electrolysis cells provided in this application embodiment establishes at least one first detection point on each anode rod, a second detection point on each conductor, and a third detection point on each thermocouple. Combined with a detection device and a data acquisition module, this system constructs high-precision voltage data covering all anode branches, providing an accurate and complete data foundation for subsequent analysis. The data processing module calculates the current based on the corresponding voltage data and, using the Pearson correlation coefficient algorithm, reflects the current distribution data or dataset reflecting the current distribution gradient of multiple anode rods, conductors, and thermocouples. During the continuous calcination of the anode in a continuous anode aluminum electrolysis cell, the current distribution across the entire anode surface can be accurately detected, improving the accuracy of anode current detection and thus enhancing the operational stability of the continuous anode aluminum electrolysis cell.

[0048] In some implementations, the anode detection system of the aluminum electrolytic cell also includes an early warning module. This module is communicatively connected to the data processing module and can issue an alarm upon receiving an alarm signal. The anode current distribution data includes a first alarm signal, a second alarm signal, a third alarm signal, a fourth alarm signal, a fifth alarm signal, and a sixth alarm signal. By configuring the early warning module, the anode current distribution can be monitored in real time, and alarm signals can be output promptly to prompt personnel to troubleshoot the aluminum electrolytic cell and ensure its stable operation.

[0049] In some embodiments, the anode detection system of the aluminum electrolytic cell further includes a data storage module. This data storage module is connected to the data acquisition module and the data processing module. The data storage module stores the voltage signals acquired by the acquisition module and the voltage data converted from analog to digital by the data processing module. The voltage signals include a first voltage signal, a second voltage signal, and a third voltage signal, and the voltage data includes first voltage data, second voltage data, and third voltage data. The data storage module can store all the data acquired by the anode detection system of the aluminum electrolytic cell, recording current, voltage, and other data throughout the entire anode operation process, thus improving the integrity and traceability of the anode operating status data.

[0050] In some implementations, the anode detection system of the aluminum electrolytic cell also includes a human-machine interface module (HMI) that is communicatively connected to the data processing module. The HMI module includes a visual interaction unit. This unit can generate an anode current gradient distribution heatmap based on the anode current distribution data output by the data processing module, an anode current gradient distribution alarm map based on the anode current distribution data generated by the data processing module, and a historical trend comparison curve of the anode current gradient distribution based on the anode current distribution data. The anode current distribution data includes first, second, third, fourth, fifth, and sixth anode current distribution data. Through the visual interaction unit, the anode current distribution data can be visualized, converting it into intuitive visual forms such as graphics, charts, color maps, or dynamic trend curves. This allows operators to quickly determine the anode operating status of the entire electrolytic cell, identify anode abnormalities, and improve the detection efficiency of the anode detection system for the aluminum electrolytic cell.

[0051] In some examples, the human-machine interface module includes a visual interaction unit with tiered alarm sounds. This unit can broadcast an alarm message when the anode current distribution data falls below the anode current threshold. This voice broadcast enables remote alarms, ensuring that even when the operator is within the visual interaction unit, abnormal anode current distribution information is promptly communicated to staff, significantly reducing the risk of missed alarm messages.

[0052] A second aspect of this application provides a method for detecting the anode of an aluminum electrolytic cell. Figure 3 This is a schematic flowchart illustrating the anode detection method for an aluminum electrolytic cell provided in an embodiment of this application. For example, refer to... Figures 1 to 3 The methods for detecting the anode of an aluminum electrolytic cell include: S101: Perform electrical signal detection on multiple first detection points of multiple anode conductors to obtain multiple first voltage signals.

[0053] For example, the detection device 300 can simultaneously detect the electrical signals of multiple first detection points 161 and send them to the data processing module 400 in real time.

[0054] S102: Perform analog-to-digital conversion on each first voltage signal to obtain the first voltage data.

[0055] For example, the data acquisition module 400 is equipped with an analog-to-digital conversion unit, which can convert each first voltage signal into an analog-to-digital signal to obtain the first voltage data.

[0056] S103: Calculate the current of each anode conductor based on the first voltage data to obtain multiple first current data; Input the first current data of any two adjacent anode conductors within the same time period into the Pearson correlation coefficient algorithm to obtain the first anode current distribution data; By inputting the two first current data corresponding to the same anode conductor in two different time periods into the Pearson correlation coefficient algorithm, the second anode current distribution data is obtained.

[0057] For example, four anode guide rods are respectively arranged on both sides of the anode frame along its width-length extension direction, namely, the first anode guide rod A1, the second anode guide rod A2, the third anode guide rod A3, the fourth anode guide rod A4, the fifth anode guide rod B1, the sixth anode guide rod B2, the seventh anode guide rod B3, and the fourth anode guide rod B4. Taking the adjacent first anode guide rod A1 and the second anode guide rod A2 as an example, within the same time period, the data processing module calculates the current of the first anode guide rod A1 as I. A1 (t), the current in the second anode conductor A2 is I A2 (t), the sampling frequency is set to 20Hz, and the acquisition time is 10min; where In=U / R, U is the voltage drop between two adjacent anode conductors, and R is the equidistant resistance.

[0058] Substituting into the Pearson correlation coefficient formula to calculate the degree of linear correlation (1), the first anodic distribution data r1 is: (1) in, , These represent the average current values ​​of multiple sampling points on the two anode rods within 0 to 10 minutes, where n represents the number of samples, p=1 represents one sample, and p=n represents n samples. The number of samples per minute is one.

[0059] Specifically, the currents of the first anode rod A1 and the second anode rod A2 are selected, and the first 10 sampling points are shown in Table 1: Table 1

[0060] Calculate the average current of the first anode rod A1 and the second anode rod A2: (1250+1252+1248+1251+1249+1253+1250+1247+1252+1249)=1250A (1245+1230+1243+1228+1244+1232+1245+1225+1230+1244)=1235.1A Calculate covariance and standard deviation covariance

[0061] (1250-1250)(1245-1235.1)+(1252-1250)(1230-1235.1)+(1248-1250)(1243-1235.1)+(1251-1250)(1228-1235.1)+(1249-1250)(1244-1235.1)+(1253-1250)(1232-1235.1)+(1250-1250)(1245-1235.1)+(1247-1250)(1225-1235.1)+(1252-1250)(1230-1235.1)+(1249-1250)(1244-1235.1)=48.9 Standard deviation of first anode guide rod A1

[0062]

[0063] Standard deviation of second anode guide rod A2

[0064]

[0065] Calculate the Pearson correlation coefficient, i.e., the first current distribution data r1.

[0066] Within the same time period, under the calculation of the distribution data of any two adjacent anode conductors, if the anode current threshold is 0.6 and r1=0.46<0.6, it is judged as a strong anomaly, and the first alarm signal is generated, requiring on-site operators to adjust the operating conditions.

[0067] In some examples, taking the same first anode conductor A1 in two different time periods as an example, the current of the first anode conductor A1 in the first time period is Iref(t), and the current of the first anode conductor A1 in the second time period is Itest(t). The sampling frequency is set to 20Hz and the acquisition time is 10min. Calculate the mean of the two sets of signals within 0 to 10 minutes. , ; Substituting into the Pearson correlation coefficient formula to calculate the linear correlation degree formula (2), the second anode current distribution data r2 is: (2) Where n represents the number of samples, p=1 represents one sample, p=n represents n samples, and one sample is taken per minute.

[0068] Specifically, the current before and after adding the paste to the first anode conductor A1 was selected, and the first 10 sampling points are shown in Table 2: Table 2

[0069] Calculate the average current of the first anode rod A1 before and after adding the paste: (1250+1252+1248+1251+1249+1253+1250+1247+1252+1249)=1250A (1235+1237+1233+1236+1234+1238+1235+1232+1237+1234)=1235A Calculate covariance and standard deviation covariance

[0070] (1250 1250)(1235 1235)+(1252 1250)(1237 1235)+(1248 1250)(1233 1235)+(1251 1250)(1236 1235)+(1249 1250)(1234 1235)+(1253 1250)(1238 1235)+(1250 1250)(1235 1235)+(1247 1250)(1232 1235)+(1252 1250)(1237 1235)+(1249 1250)(1234 1235) =0+2×2+(-2)×(-2)+1×1+(-1)×(-1)+3×3+0+(-3)×(-3)+2×2+(-1)×(-1) =0+4+4+1+1+9+0+9+4+1=33 Reference signal standard deviation

[0071]

[0072] Standard deviation of detection signal

[0073]

[0074] Calculate the Pearson correlation coefficient, i.e., the second current distribution data r2.

[0075] When calculating the current distribution data corresponding to the same anode conductor in two different time periods, the anode current threshold is 0.85, r2=1.0≥0.8, the anode current distribution of the aluminum electrolysis cell is normal, and the aluminum electrolysis cell is operating stably.

[0076] In some implementations, the first anode current distribution data is compared with the anode current threshold to determine whether the first anode current distribution data is less than the anode current threshold. If the first anode current distribution data is less than the anode current threshold, a first alarm signal is generated. The second anode current distribution data is compared with the anode current threshold to determine whether the second anode current distribution data is less than the anode current threshold. If the second anode current distribution data is less than the anode current threshold, a second alarm signal is generated.

[0077] In some implementations, electrical signals are detected at multiple second detection points of multiple conductors to obtain second voltage signals; each second voltage signal is converted from analog to digital to obtain second voltage data; the current of each conductor is calculated based on the second voltage data to obtain multiple second current data; the data processing module is used to input two second current data of any two adjacent conductors within the same time period into the Pearson correlation coefficient algorithm to obtain third anode current distribution data; input two second current data corresponding to the same conductor within two different time periods into the Pearson correlation coefficient algorithm to obtain fourth anode current distribution data; compare the third anode current distribution data with the anode current threshold to determine whether the third anode current distribution data is less than the anode current threshold, and generate a third alarm signal if the third anode current distribution data is less than the anode current threshold; compare the fourth anode current distribution data with the anode current threshold to determine whether the fourth anode current distribution data is less than the anode current threshold, and generate a fourth alarm signal if the fourth anode current distribution data is less than the anode current threshold.

[0078] In some implementations, electrical signals are detected at multiple third detection points of multiple thermocouples to obtain third voltage signals; each third voltage signal is converted from analog to digital to obtain third voltage data; the current of each thermocouple is calculated based on the third voltage data to obtain multiple third current data; the data processing module is used to input the two third current data of any two adjacent thermocouples within the same time period into the Pearson correlation coefficient algorithm to obtain fifth anode current distribution data; input the two third current data corresponding to the same thermocouple within two different time periods into the Pearson correlation coefficient algorithm to obtain sixth anode current distribution data; compare the fifth anode current distribution data with the anode current threshold to determine whether the fifth anode current distribution data is less than the anode current threshold, and generate a fifth alarm signal if the fifth anode current distribution data is less than the anode current threshold; compare the sixth anode current distribution data with the anode current threshold to determine whether the sixth anode current distribution data is less than the anode current threshold, and generate a sixth alarm signal if the sixth anode current distribution data is less than the anode current threshold.

[0079] In some embodiments, the anode detection method for an aluminum electrolytic cell further includes: thickening the paste layer; after the thickening treatment, detecting electrical signals at multiple third detection points of multiple thermocouples to obtain a third voltage signal after the thickening treatment; performing analog-to-digital conversion on each thickened third voltage signal to obtain thickened third voltage data; calculating the current of each thermocouple based on the thickened third voltage data to obtain multiple thickened third current data; and using a data processing module to input two thickened third current data of any two adjacent thermocouples within the same time period into a Pearson correlation coefficient algorithm to obtain thickened fifth anode current distribution data; and inputting two thickened third current data corresponding to the same thermocouple within two different time periods into a Pearson correlation coefficient algorithm to obtain thickened sixth anode current distribution data.

[0080] The anode detection system for aluminum electrolysis cells provided in this application embodiment establishes at least one first detection point on each anode rod, a second detection point on each conductor, and a third detection point on each thermocouple. Combined with a detection device and a data acquisition module, this system constructs high-precision voltage data covering all anode branches, providing an accurate and complete data foundation for subsequent analysis. The data processing module calculates the current based on the corresponding voltage data and, using the Pearson correlation coefficient algorithm, reflects the current distribution data or dataset reflecting the current distribution gradient of multiple anode rods, conductors, and thermocouples. During the continuous calcination of the anode in a continuous anode aluminum electrolysis cell, the current distribution across the entire anode surface can be accurately detected, improving the accuracy of anode current detection and thus enhancing the operational stability of the continuous anode aluminum electrolysis cell.

[0081] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0082] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0083] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

[0084] Although preferred embodiments have been described in this specification, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this specification.

[0085] Obviously, those skilled in the art can make various modifications and variations to this specification without departing from its spirit and scope. Therefore, if such modifications and variations fall within the scope of the claims and their equivalents, this specification is also intended to include such modifications and variations.

Claims

1. An anode detection system for an aluminium electrolytic cell, characterised in that, The aluminum electrolytic cell comprises an anode frame, an anode, a paste layer, a busbar, a plurality of aluminum soft strips and a plurality of anode guide rods, the busbar is connected with the anode guide rods through the aluminum soft strips, the anode guide rods are connected with the anode, the anode is arranged in the anode frame, and the paste layer covers the anode and the anode frame, wherein each anode guide rod is provided with at least one first detection point; a current source is electrically connected with the busbar, and the current output by the current source flows through the busbar, the aluminum soft strips and the anode guide rods into the anode in sequence; a detection device is connected between the anode guide rods and the aluminum soft strips, and the detection device is used for detecting the voltages of a plurality of first detection points to obtain a plurality of first voltage signals; a data acquisition module is electrically connected with the detection device, and the data acquisition module is used for performing analog-to-digital conversion on each first voltage signal to obtain first voltage data; a data processing module is in communication connection with the data acquisition module, and the data processing module is used for calculating the current of each anode guide rod according to the first voltage data to obtain a plurality of first current data; the data processing module is used for inputting the first current data of any two adjacent anode guide rods in the same time period into a Pearson correlation coefficient algorithm to obtain first anode current distribution data; and / or the data processing module is used for inputting the first current data corresponding to the same anode guide rod in different time periods into the Pearson correlation coefficient algorithm to obtain second anode current distribution data.

2. The anode detection system of the aluminum electrolytic cell according to claim 1, wherein the data processing module is electrically connected with the data acquisition module, the data processing module is used for storing an anode current threshold value and judging whether the first anode current distribution data is less than the anode current threshold value, and a first alarm signal is generated in the case that the first anode current distribution data is less than the anode current threshold value; and / or the data processing module is used for judging whether the second anode current distribution data is less than the anode current threshold value, and a second alarm signal is generated in the case that the second anode current distribution data is less than the anode current threshold value.

3. The anode detection system of the aluminum electrolytic cell according to claim 2, wherein the aluminum electrolytic cell comprises a plurality of conductive bodies, the conductive bodies are electrically connected with the anode frame, and the conductive bodies are used for guiding the electrical signals in the anode guide rods into the anode, wherein each conductive body is provided with at least one second detection point; the detection device is used for detecting the voltages of a plurality of second detection points to obtain a plurality of second voltage signals; the data processing module is used for performing analog-to-digital conversion on each second voltage signal to obtain second voltage data; the data processing module is used for calculating the current of each conductive body according to the second voltage data to obtain a plurality of second current data; ​ ​ ​ The data processing module is configured to input two second current data of any two adjacent conductors in the same time period into a Pearson correlation coefficient algorithm to obtain third anode current distribution data; and / or, The data processing module is configured to input two second current data corresponding to the same conductor in different time periods into the Pearson correlation coefficient algorithm to obtain fourth anode current distribution data; The data processing module is configured to determine whether the third anode current distribution data is less than an anode current threshold value, and generate a third alarm signal if the third anode current distribution data is less than the anode current threshold value; and / or, The data processing module is configured to determine whether the fourth anode current distribution data is less than an anode current threshold value, and generate a fourth alarm signal if the fourth anode current distribution data is less than the anode current threshold value.

4. The anode detection system of the aluminum electrolytic cell according to claim 1 or 3, characterized in that, The aluminum electrolytic cell comprises a plurality of thermocouples embedded in the anode, wherein each thermocouple is provided with at least one third detection point; The detection device is configured to detect the voltage of a plurality of third detection points to obtain a plurality of third voltage signals; The data processing module is configured to perform analog-to-digital conversion on each third voltage signal to obtain third voltage data; The data processing module is configured to calculate the current of each thermocouple according to the third voltage data to obtain a plurality of third current data; The data processing module is configured to input two third current data of any two adjacent thermocouples in the same time period into a Pearson correlation coefficient algorithm to obtain fifth anode current distribution data; and / or, The data processing module is configured to input two third current data corresponding to the same thermocouple in different time periods into the Pearson correlation coefficient algorithm to obtain sixth anode current distribution data; The data processing module is configured to determine whether the fifth anode current distribution data is less than an anode current threshold value, and generate a fifth alarm signal if the fifth anode current distribution data is less than the anode current threshold value; and / or, The data processing module is configured to determine whether the sixth anode current distribution data is less than an anode current threshold value, and generate a sixth alarm signal if the sixth anode current distribution data is less than the anode current threshold value.

5. An anode detection system for an aluminium electrolytic cell as claimed in claim 4, c h a r a c t e r i s e d i n that Further comprising: An early warning module in communication connection with the data processing module, the early warning module being configured to alarm upon receiving an alarm signal, wherein the anode current distribution data comprises the first alarm signal, the second alarm signal, the third alarm signal, the fourth alarm signal, the fifth alarm signal, and the sixth alarm signal. A data storage module is connected with the data acquisition module and the data processing module, and is configured to store the voltage signals collected by the data acquisition module and the voltage data converted by the data processing module. The voltage signals include the first voltage signal, the second voltage signal and the third voltage signal, and the voltage data includes the first voltage data, the second voltage data and the third voltage data.

6. An anode detection system for an aluminium electrolytic cell as claimed in claim 5, characterised in that, Further comprising: A man-machine interaction module is connected with the data processing module, and includes: A visual interaction unit is configured to generate an anode current gradient distribution heat map according to the anode current distribution data output by the data processing module, and / or generate an anode current gradient distribution alarm map according to the anode current distribution data generated by the data processing module, and / or generate an anode current gradient distribution historical trend comparison curve according to the anode current distribution data. The anode current distribution data includes the first anode current distribution data, the second anode current distribution data, the third anode current distribution data, the fourth anode current distribution data, the fifth anode current distribution data and the sixth anode current distribution data; An audible interaction unit is provided with hierarchical alarm sound effects, and is configured to play an alarm voice when the anode current distribution data is lower than the anode current threshold.

7. An anode detection method of an aluminum electrolytic cell, applied to the anode detection system of any one of claims 1 to 6, the anode detection method of the aluminum electrolytic cell comprising: Respectively detecting the electrical signals of the plurality of first detection points of the plurality of anode rods to obtain a plurality of first voltage signals; Converting each of the first voltage signals into digital signals to obtain first voltage data; Calculating the current of each of the anode rods according to the first voltage data to obtain a plurality of first current data; Inputting the first current data of any two adjacent anode rods in the same time period into a Pearson correlation coefficient algorithm to obtain first anode current distribution data; And / or, Inputting the first current data of the same anode rod in different time periods into the Pearson correlation coefficient algorithm to obtain second anode current distribution data.

8. A method of anode detection for an aluminium electrolytic cell as claimed in claim 7, c h a r a c t e r i s e d i n that Further comprising: Comparing the first anode current distribution data with the anode current threshold to determine whether the first anode current distribution data is less than the anode current threshold, and generating a first alarm signal when the first anode current distribution data is less than the anode current threshold; And / or, Comparing the second anode current distribution data with the anode current threshold to determine whether the second anode current distribution data is less than the anode current threshold, and generating a second alarm signal when the second anode current distribution data is less than the anode current threshold.

9. A method of anode detection for an aluminium electrolytic cell as claimed in claim 8, c h a r a c t e r i s e d i n that Further comprising: Respectively detecting the electrical signals of the plurality of second detection points of the plurality of conductive bodies to obtain second voltage signals; Analog-to-digital conversion is performed on each of the second voltage signals to obtain second voltage data; Currents of each of the conductive bodies are calculated according to the second voltage data to obtain a plurality of second current data; The data processing module is configured to input two of the second current data of any two adjacent conductive bodies in the same time period into a Pearson correlation coefficient algorithm to obtain third anode current distribution data; and / or The data processing module is configured to input two of the second current data of the same conductive body in different time periods into the Pearson correlation coefficient algorithm to obtain fourth anode current distribution data; The third anode current distribution data is compared with the anode current threshold value to determine whether the third anode current distribution data is less than the anode current threshold value, and a third alarm signal is generated if the third anode current distribution data is less than the anode current threshold value; The fourth anode current distribution data is compared with the anode current threshold value to determine whether the fourth anode current distribution data is less than the anode current threshold value, and a fourth alarm signal is generated if the fourth anode current distribution data is less than the anode current threshold value. Further comprising:

10. The method of anode detection of an aluminium electrolytic cell according to claim 7 or 9, c h a r a c t e r i s e d i n that Electrical signal detection is performed on a plurality of third detection points of a plurality of thermocouples to obtain third voltage signals; Analog-to-digital conversion is performed on each of the third voltage signals to obtain third voltage data; Currents of each of the thermocouples are calculated according to the third voltage data to obtain a plurality of third current data; The data processing module is configured to input two of the third current data of any two adjacent thermocouples in the same time period into a Pearson correlation coefficient algorithm to obtain fifth anode current distribution data; and / or The data processing module is configured to input two of the third current data of the same thermocouple in different time periods into the Pearson correlation coefficient algorithm to obtain sixth anode current distribution data; The fifth anode current distribution data is compared with the anode current threshold value to determine whether the fifth anode current distribution data is less than the anode current threshold value, and a fifth alarm signal is generated if the fifth anode current distribution data is less than the anode current threshold value; The sixth anode current distribution data is compared with the anode current threshold value to determine whether the sixth anode current distribution data is less than the anode current threshold value, and a sixth alarm signal is generated if the sixth anode current distribution data is less than the anode current threshold value. The anode detection method of the aluminum electrolytic cell further comprises: Thickening treatment is performed on the paste layer; After the thickening treatment, electrical signal detection is performed on a plurality of third detection points of a plurality of thermocouples to obtain third voltage signals after the thickening treatment; Analog-to-digital conversion is performed on each of the third voltage signals after the thickening treatment to obtain third voltage data after the thickening treatment; Currents of each of the thermocouples are calculated according to the third voltage data after the thickening treatment to obtain a plurality of third current data after the thickening treatment; ​ ​ The data processing module is configured to input two third current data after the thickening treatment of any two adjacent thermocouples in the same time period into a Pearson correlation coefficient algorithm to obtain fifth anode current distribution data after the thickening treatment; and / or, The data processing module is configured to input two third current data after the thickening treatment of the same thermocouple in different time periods into the Pearson correlation coefficient algorithm to obtain sixth anode current distribution data after the thickening treatment.

Images