CN115558961A - Method and device for controlling addition amount of aluminum fluoride - Google Patents

Abstract

This application discloses a method and device for controlling the amount of aluminum fluoride added, which belongs to the technical field of aluminum electrolysis, and is used to solve the problem that the amount of aluminum fluoride added in the related art is difficult to match with the changing working conditions in the production process of aluminum electrolysis, thereby Problems that adversely affect the production of aluminum electrolysis. The method includes: obtaining the temperature of the first electrolytic cell and the first molecular ratio; based on the temperature of the first electrolytic cell, the first molecular ratio and a preset prediction model, determining the change trend of the temperature of the electrolytic cell and the change trend of the molecular ratio The preset prediction model is established based on the historical temperature of the electrolytic cell and the historical molecular ratio; according to the changing trend of the electrolytic cell temperature and the changing trend of the molecular ratio, the amount of aluminum fluoride added is determined.

Description

A method and device for controlling the amount of aluminum fluoride added

technical field

The application belongs to the technical field of aluminum electrolysis, and in particular relates to a method and device for controlling the amount of aluminum fluoride added.

Background technique

Aluminum fluoride (AlF ₃ ) is an important additive in the production process of aluminum electrolysis. At present, the amount of aluminum fluoride added is usually controlled according to data such as electrolytic cell temperature and electrolyte molecular ratio (CR).

However, due to the high temperature and strong corrosiveness of the aluminum electrolysis production process, it is difficult for the sensors used to detect the temperature of the electrolytic bath, the composition of the electrolyte, etc. Matching with the changing working conditions, it will have adverse effects on the production of aluminum electrolysis, such as the reduction of current efficiency.

Contents of the invention

The embodiment of the present application provides a method and system for controlling the amount of aluminum fluoride added, which can solve the problem that the amount of aluminum fluoride added in the related art is difficult to match with the changing working conditions in the aluminum electrolytic production process, thus causing disadvantages to the aluminum electrolytic production problem of impact.

In the first aspect, the embodiment of the present application provides a method for controlling the amount of aluminum fluoride added, the method comprising:

Obtain the temperature of the first electrolyzer and the first molecular ratio;

Based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model, determine the temperature change trend of the electrolytic cell and the molecular ratio change trend; the preset prediction model is based on the historical temperature of the electrolytic cell and the historical molecular ratio Establish;

According to the change trend of the temperature of the electrolytic cell and the change trend of the molecular ratio, the amount of aluminum fluoride added is determined.

Optionally, in one embodiment, the preset prediction model is established based on the Levenberg-Marquardt algorithm and the square root unscented Kalman filter algorithm.

Optionally, in one embodiment, the determination of the amount of aluminum fluoride added according to the change trend of the electrolytic cell temperature and the change trend of the molecular ratio includes:

Determine the target characteristic parameter group according to the temperature variation trend of the electrolytic cell and the molecular ratio variation trend;

Determine the amount of aluminum fluoride added based on the target characteristic parameter set and preset control rules;

Wherein, the preset control rule includes the correspondence between various characteristic parameter groups and the amount of aluminum fluoride added.

Optionally, in one embodiment, the target feature parameter set includes the slope corresponding to the temperature change trend of the electrolytic cell, the slope corresponding to the molecular ratio change trend, and the temperature change trend of the electrolytic cell and the molecular ratio The geometric similarity of the ratio change trend;

The preset control rules include the slopes corresponding to various electrolytic cell temperature change trends, the slopes corresponding to various molecular ratio change trends, and the correspondence between various geometric similarities and the amount of aluminum fluoride added.

Optionally, in one embodiment, the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend is determined through the following process:

According to the first trend line corresponding to the temperature change trend of the electrolytic cell, determine the first area formed by the first trend line and the coordinate axis;

According to the second trend line corresponding to the change trend of the molecular ratio, determine the second area formed by the second trend line and the coordinate axis;

Calculating the overlapping area between the first area and the second area, and determining the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend according to the overlapping area.

Optionally, in one embodiment, the preset control rules specifically include the levels of various electrolytic tank temperature change trends, the levels of various molecular ratio change trends, the levels of various geometric similarities and the levels of each aluminum fluoride addition. The corresponding relationship between the levels of quantity; wherein, the levels of the various electrolytic cell temperature change trends are obtained based on the grade division of the slopes corresponding to the various electrolytic cell temperature change trends, and the levels of the various molecular ratio change trends , obtained based on classifying the slopes corresponding to various molecular ratio change trends, the levels of the various geometric similarities are obtained based on classifying the various geometric similarities, the levels of the added amounts of aluminum fluoride, Based on the grade division of the amount of aluminum fluoride added;

Then, based on the target characteristic parameter group and preset control rules, determining the amount of aluminum fluoride added includes:

Determining the first level to which the slope corresponding to the temperature change trend of the electrolytic cell belongs, determining the second level to which the slope corresponding to the molecular ratio change trend belongs, and determining the third level to which the geometric similarity belongs;

Based on the correspondence between the levels of the various electrolytic cell temperature change trends, the levels of various molecular ratio change trends, the levels of various geometric similarities, and the levels of each aluminum fluoride addition, determine the relationship with the first level, the second level and the level of aluminum fluoride addition corresponding to the third level.

Optionally, in one embodiment, after the determination of the aluminum fluoride addition level corresponding to the first level, the second level and the third level, the method further includes:

Determine the aluminum fluoride addition level corresponding to the aluminum fluoride addition level, and add aluminum fluoride according to the addition amount.

In the second aspect, the embodiment of the present application provides a device for controlling the amount of aluminum fluoride added, the device comprising:

An acquisition module, configured to acquire the temperature of the first electrolyzer and the first molecular ratio;

A prediction module, configured to determine the temperature change trend of the electrolytic cell and the molecular ratio change trend based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model; the preset prediction model is based on the history of the electrolytic cell Temperature and historical molecular ratio establishment;

The determination module is used to determine the amount of aluminum fluoride to be added according to the change trend of the temperature of the electrolytic cell and the change trend of the molecular ratio.

In the third aspect, the embodiment of the present application provides an electronic device, the electronic device includes a processor, a memory, and a program or instruction stored in the memory and run on the processor, and the program or instruction is controlled by the The steps of the method described in the first aspect are implemented when the processor executes.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or an instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented .

In the embodiment of the present application, by obtaining the first electrolytic cell temperature and the first molecular ratio; based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model, the temperature change trend of the electrolytic cell and the molecular ratio are determined. Ratio change trend; the preset prediction model is established based on the historical temperature of the electrolytic cell and the historical molecular ratio; according to the change trend of the electrolytic cell temperature and the molecular ratio change trend, the amount of aluminum fluoride to be added is determined; since aluminum can be predicted During the electrolytic production process, the temperature change trend of the electrolytic tank and the molecular ratio change trend, and based on the predicted temperature change trend of the electrolytic tank and the molecular ratio change trend, determine the amount of aluminum fluoride added, so that the added amount of aluminum fluoride can be compared with aluminum The changing working conditions in the electrolytic production process are matched to achieve accurate control of the amount of aluminum fluoride added.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present application. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without making creative efforts. In the attached picture:

Fig. 1 is a schematic flow chart of a method for controlling the amount of aluminum fluoride added provided by the embodiment of the present application;

Figure 2-1 and Figure 2-2 are the correlation analysis data graphs between CR and electrolyzer temperature;

Figure 3-1 and Figure 3-2 are the classification diagrams of electrolytic cell temperature change trends and the classification diagrams of CR change trends in one embodiment of the present application;

Fig. 4 is a schematic diagram of various types of electrolytic cell temperature variation trends and various CR variation trends combinations provided by an embodiment of the present application;

Fig. 5 is the sheet slope schematic diagram of curve;

Fig. 6 is a schematic diagram of curves with different trends but the same average slope;

Fig. 7 and Fig. 8 are the schematic diagrams of the overlapping area between the first area and the second area under different changing trend situations;

Figure 9 is a schematic flow diagram of another method for controlling the amount of aluminum fluoride added provided in the embodiment of the present application;

Figure 10 is a schematic structural diagram of a device for controlling the amount of aluminum fluoride added provided in the embodiment of the present application;

FIG. 11 is a schematic diagram of a hardware structure of an electronic device implementing various embodiments of the present application.

detailed description

The following will clearly describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in this application belong to the protection scope of this application.

As described in the background technology, the aluminum electrolytic production process has high temperature and strong corrosion, which makes it difficult for the sensors used to collect various data to perform real-time detection for a long time, and the addition of aluminum fluoride is difficult to match the aluminum electrolytic production process. Matching with the ever-changing working conditions, it is easy to adversely affect the production of aluminum electrolysis.

In view of this, an embodiment of the present application provides a method for controlling the amount of aluminum fluoride added to solve the problem that the amount of aluminum fluoride added is difficult to match with the changing working conditions in the aluminum electrolytic production process, thus causing serious damage to the aluminum electrolytic production. adverse effects of technical issues. The method may be performed by an electronic device, in other words, the method may be performed by software or hardware installed on the electronic device, and the method may include the following steps:

Step 101, obtaining the temperature of the first electrolytic cell and the first molecular ratio.

In the embodiment of the present application, the first electrolytic cell temperature may specifically be the collected temperature of the electrolytic cell at the current moment, and the first molecular ratio may specifically be the electrolyte molecular ratio in the electrolytic cell at the current moment. Among them, the electrolyte molecular ratio is the molar ratio of NaF and _AlF3 .

Step 102, based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model, determine the change trend of the electrolytic cell temperature and the molecular ratio change trend.

In the embodiment of the present application, the preset prediction model is established based on the historical temperature and molecular ratio of the electrolyzer. Among them, the historical temperature of the electrolytic cell can be a plurality of temperatures detected during the historical production process of the electrolytic cell, and the historical molecular ratio can be a plurality of molecular ratios obtained during the historical production process of the electrolytic cell, and the molecular ratio can be based on the detected The composition of the electrolyte is calculated.

In the embodiment of the present application, the change trend of the temperature of the electrolytic tank may specifically be the change trend of the temperature of the electrolytic tank from the current moment (the moment when the temperature of the first electrolytic tank is collected) to the future. The change trend of the molecular ratio may specifically be the change trend of the molecular ratio from the current moment (the moment when the electrolyte composition data is collected) to the future. That is, by inputting the first electrolytic tank temperature and the first molecular ratio into the preset prediction model, the changing trend of the electrolytic tank temperature and the changing trend of the molecular ratio from the current moment to the subsequent production process can be predicted without using various sensors for continuous monitoring. real-time detection.

In step 103, the amount of aluminum fluoride to be added is determined according to the change trend of the temperature of the electrolytic cell and the change trend of the molecular ratio.

After predicting the temperature change trend of the electrolytic cell (hereinafter also referred to as the temperature change trend) and the molecular ratio change trend, it is possible to further combine the experience knowledge of aluminum electrolysis production and the mechanism knowledge in aluminum electrolysis production to determine the temperature change trend and The amount of aluminum fluoride added that is compatible with the changing trend of the molecular ratio. The amount of aluminum fluoride added can correspond to the addition rate in practical applications.

It can be understood that, using the method for controlling the amount of aluminum fluoride added provided in the embodiment of the present application, by obtaining the first electrolytic cell temperature and the first molecular ratio; based on the first electrolytic cell temperature, the first molecular ratio and the preset A predictive model for determining the temperature change trend of the electrolytic cell and the molecular ratio change trend; the preset predictive model is established based on the historical temperature of the electrolytic cell and the historical molecular ratio; according to the temperature change trend of the electrolytic cell and the molecular ratio change trend, Determine the amount of aluminum fluoride added; since the temperature change trend of the electrolytic cell and the molecular ratio change trend during the aluminum electrolytic production process can be predicted, and based on the predicted temperature change trend of the electrolytic cell and the molecular ratio change trend, the addition of aluminum fluoride is determined The amount, so that the amount of aluminum fluoride added can match the changing working conditions in the aluminum electrolysis production process, so as to achieve accurate control of the amount of aluminum fluoride added.

In order to further improve the prediction accuracy of the prediction model, in one embodiment, the preset prediction model is established based on the Levenberg-Marquardt (LM) algorithm and the square root unscented Kalman filter (SRUKF) algorithm.

Among them, the SRUKF algorithm combines the classic Kalman filter theory and the traceless transformation of complex nonlinear systems, and it has high prediction accuracy. However, in practical applications, if there are uncertain factors such as oversimplification of the model, inaccuracy, and sudden changes in the initial state value, the performance of the SRUKF algorithm will be affected. In addition, the SRUKF algorithm needs to obtain the prior statistical properties of the system noise and measurement noise. If the statistical characteristics of the noise are unknown or time-varying, the measured update value cannot guarantee that the estimated error and estimated covariance will decrease all the time, and the covariance corresponding to the estimated value will be lower than the true value.

The LM algorithm is a combination of the steepest descent method and Newton's method, which has high learning efficiency, fast convergence speed and high recognition rate.

In the embodiment of the present application, the LM algorithm and the SRUKF algorithm are combined to obtain the LM-SRUKF algorithm. Through this combination, the covariance matrix and filter gain in SRUKF can be adjusted using the LM algorithm, using the parameter μ _i to modify the covariance matrix and filter gain in each iteration. Furthermore, the combined LM-SRUKF algorithm can deal with uncertain factors, enhance robustness and increase convergence speed, thereby improving the accuracy of temperature change trend and molecular ratio change trend prediction.

Specifically, before predicting the trend of electrolyzer temperature change and molecular ratio change, the state equation and measurement equation should be deduced, and these two equations are derived through automatic regression and moving average models, and then, the preset prediction A model can be built by the following process:

Step 1, calculation of Sigma points.

For the initialization of the estimation, the initial state vector is x ₀ , the initial covariance matrix state vector is P ₀ , the initial covariance matrix for process noise is Q ₀ , and the initial covariance matrix for measurement noise is R ₀ , which must be based on prior knowledge of the system Defined ahead of time.

S ₀ ＝cholupdate(P ₀ ) (3)

Among them, cholupdate is the Cholesky update factor.

和相应协方差矩阵S_k-1的平方根。The set of 2n+1 Sigma points is the state at time k. Calculate the state vector at time k-1

and the square root of the corresponding covariance matrix S _k-1 .

α是[0.0001-1]范围内的正数。k可以是k＝3-n，它可以用来减少均值和协方差近似的高阶误差。n是系统状态向量的维度。in,

α is a positive number in the range [0.0001-1]. k can be k=3-n, which can be used to reduce higher-order errors in mean and covariance approximations. n is the dimension of the system state vector.

Step 2, time update.

1) Convert the Sigma point through the state update function.

Among them, u _k-1 is the control variable. X _i,k-1 is the (i+1)th column of the matrix X _k-1 , and the resulting X _k is an n×(2n+1) matrix containing the propagated Sigma points.

和预测的协方差平方根矩阵s_k/k ^-1，如下所示：2) Calculate the predicted state mean vector

and the predicted covariance square root matrix s _k/k ^-1 , as follows:

where the weights W _i ^(m) and W _i ^(c) are defined as:

Among them, β is the high-order error sampling factor, which is a non-negative weighting parameter used to affect the weight of the 0th Sigma point for calculating the covariance. For a Gaussian prior, the best choice is β=2. qr{.} is the QR decomposition.

Step 3, measurement update based on LM algorithm.

The LM method is used to optimize the prediction covariance,

由公式(11)得到。μ₁是加权摄系数。当μ₁很大时，LM是最陡峭的下降法；当μ₁为零时，LM是牛顿法。根据经验，μ₁被设定为0.5到0.8之间。N是最大迭代数。where the setting s _0,k/k ^-1 is equal to the state prediction covariance.

Obtained by formula (11). μ ₁ is the weighted intake coefficient. When μ ₁ is very large, LM is the steepest descending method; when μ ₁ is zero, LM is Newton's method. According to experience, μ ₁ is set between 0.5 and 0.8. N is the maximum number of iterations.

Sigma point matrix computed from predicted state mean vectors and optimized covariances,

Sigma points are transformed by a measure-update function,

and the square root values of the mean and covariance of the measured values are calculated as,

The cross-covariance is calculated as,

In order to obtain more accurate state estimation, the Levenberg and Marquardt algorithm is used again to optimize the filter gain of LM-SRUKF. The state estimate and its covariance of LM-SRUKF can be calculated by the following formula:

Among them, μ ₂ is the weighting coefficient, when it is infinitely large, LM is the steepest descent method; when μ ₂ is 0, LM is Newton's method. According to experience, μ ₂ is set between 0.5 and 0.8.

It can be understood that, by adopting the above scheme, the preset prediction model is established based on the Levenberg-Marquardt algorithm and the square root unscented Kalman filter algorithm, so that the model can handle uncertain factors, enhance robustness and improve convergence speed, so that Improve the accuracy of temperature change trend and molecular ratio change trend prediction.

In practical applications, in order to improve the efficiency of controlling the amount of aluminum fluoride added, that is, to determine the amount of aluminum fluoride added as soon as possible, in one embodiment, in step 102, according to the temperature change trend of the electrolytic cell and the molecular ratio Change trend, determine the amount of aluminum fluoride added, including: according to the change trend of the electrolytic cell temperature and the molecular ratio change trend, determine the target characteristic parameter group; based on the target characteristic parameter group and preset control rules, determine the fluorine The amount of aluminum fluoride added; wherein, the preset control rule includes the correspondence between various characteristic parameter groups and the amount of aluminum fluoride added.

In the embodiment of the present application, the correspondence between various characteristic parameter groups included in the preset control rules and the amount of aluminum fluoride added can be based on historical data of aluminum electrolytic production, experience knowledge of aluminum electrolytic production, and aluminum electrolytic production. Mechanism knowledge in production is preset. After obtaining the corresponding relationship between various characteristic parameter groups and the added amount of aluminum fluoride, each corresponding relationship can be stored.

It can be understood that, by adopting the above scheme, by presetting and storing the corresponding relationship between various characteristic parameter groups and the amount of aluminum fluoride added, when the target characteristic parameter is determined according to the temperature change trend and the molecular ratio change trend After setting, based on the target characteristic parameter set and various pre-stored corresponding relationships, the amount of aluminum fluoride added that matches the target characteristic parameter set can be quickly determined.

In the above embodiment, the target characteristic parameter group may specifically include the slope corresponding to the temperature change trend of the electrolytic cell, the slope corresponding to the molecular ratio change trend, and the geometric similarity between the temperature change trend and the molecular ratio change trend. The preset control rules may specifically include the slopes corresponding to various electrolytic cell temperature trends, the slopes corresponding to various molecular ratio trends, and the correspondence between various geometric similarities and the amount of aluminum fluoride added.

In the specific implementation, considering that the temperature of the electrolytic cell and the molecular ratio have a mutual influence relationship, when establishing the corresponding relationship based on this, the temperature change trend and the molecular ratio change trend can be considered at the same time, and the two are combined to correspond to the same Aluminum fluoride addition strategy. The relationship between the temperature of the electrolytic cell and the molecular ratio is specifically:

In the aluminum electrolytic production process, the temperature of the electrolytic cell is equal to the sum of the liquidus temperature of the electrolyte and the degree of superheat, which is the main factor affecting the current efficiency. Studies have shown that the current efficiency can be increased by 1.8% to 2.0% when the temperature of the electrolytic cell is lowered by 10 degrees. In addition, the temperature of the electrolytic cell is closely related to the resistance of the electrolyte and the sublimation and consumption of AlF ₃ . Therefore, it has a great influence on electrolysis efficiency and material consumption. It is well known that the molecular ratio determines the meltability of the electrolyte, and a high molecular ratio will lead to an increase in the liquefaction temperature of the electrolyte, and vice versa. That is to say, the molecular ratio determines the normal temperature of the electrolytic cell, and changes in the temperature of the electrolytic cell will also cause changes in the molecular ratio. The main reason is that the molecular ratio of the liquid electrolyte is lower than that of the tank side due to the segregation effect. When the temperature of the electrolyte rises, the ribs will melt, causing the ratio of molecules in the liquid electrolyte to increase, and vice versa. This indicates that the molecular ratio and cell temperature are interdependent. Based on this relationship between the molecular ratio and the temperature of the electrolytic cell, when designing an aluminum electrolytic cell, the temperature of the electrolytic cell is a function of the composition of the electrolyte, and there is a linear conversion relationship. Therefore, according to the linear regression relationship, the addition amount of _AlF3 can be controlled based on the electrolytic cell temperature. However, in practice, the changing trends of electrolytic cell temperature and molecular ratio are mainly affected by the concentration of _AlF3 . At the same time, they are also affected by many other factors, such as pole spacing and cell voltage. The inventor collected two sets of data from the aluminum electrolysis production workshop, and analyzed the correlation between the molecular ratio and the temperature of the electrolytic bath. The results are shown in Figure 2-1 and Figure 2-2. In Figure 2-1, the horizontal axis is the molecular ratio, the vertical axis is the temperature of the electrolytic cell, and the two oblique lines represent the boundary lines of the relative regions. It can be seen that there is a certain correlation between the molecular ratio and the temperature of the electrolytic cell. In Figure 2-1, the correlation coefficients are 0.6725 and 0.7249, respectively. Figure 2-2 is the binary relationship between the temperature of the electrolytic cell and the molecular ratio as a function of time. Both binary relationship diagrams present a plane with a certain thickness, but it is not a smooth surface. Therefore, there is a correlation between the molecular ratio and the cell temperature.

Based on the above-mentioned idea of combining the temperature change trend and the molecular ratio change trend, the corresponding relationship included in the preset control rules can be specifically established through the following process:

In order to make the change trend of temperature and molecular ratio correspond to different working conditions, the temperature change trend and molecular ratio change trend are divided into multiple categories, for example, the temperature change trend is divided into 11 categories, and the molecular ratio change trend is divided into 11 categories . Combining various temperature change trends and various molecular ratio change trends to form various combination decision rules is conducive to fully considering different working conditions. Among them, the temperature change trend is divided into 11 categories, as shown in Figure 3-1, which shows various trends of the temperature change of the electrolytic cell. Each change trend has a corresponding label, and 11 corresponding labels can form an array T(x)=(T-a, T-b, T-c, . . . , T-k). Each variable in the array represents a different trend in the temperature of the electrolyzer. For example, T-a means that the slope of the temperature change trend of the electrolytic tank is greater than 1, T-b means that the slope of the temperature change trend of the electrolytic tank is approximately equal to 1, T-c means that the slope of the temperature change trend of the electrolytic tank is less than 1, and the rising slope of T-d is less than 1 at the beginning. In the later stage, it is greater than 1, the rising slope of T-e is opposite to T-d, T-f indicates that the falling slope of the temperature change trend of the electrolytic cell is greater than -1, the slope of T-g is approximately equal to -1, the slope of T-h is less than -1, and the slope of T-i is greater than -1 at the beginning , less than -1 in the later stage, the slope of T-j is opposite to that of T-i, and the slope of the temperature change trend of the electrolytic cell of T-k does not change. Divide the molecular ratio change trend into 11 categories, as shown in Figure 3-2, which shows the change trend of CR. Each change trend has a corresponding label, and the 11 corresponding labels can also form an array MR(x)= (MR-a, MR-b, MR-c,..., MR-k). In the MR(x) array, the meaning of each variable is similar to that of the T(x) array, and will not be repeated here.

Combining various temperature change trends and various molecular ratio change trends can be shown in Figure 4. It should be understood that FIG. 4 only shows some combinations, and actually there are far more combinations than those shown in FIG. 4 .

It should be understood that the temperature change trend and the molecular ratio change trend are divided into 11 categories, which is only a better example and does not represent a limitation to the application. The temperature change trend and the molecular ratio change can also be classified according to actual working conditions. Trends are categorized as more or less.

In addition, the molecular ratio is mainly adjusted by controlling the amount of AlF ₃ added, and can also be further adjusted by controlling other parameters, such as pole distance and cell voltage. According to the analysis of the mechanism knowledge, the anode-cathode distance and the cell voltage mainly affect the electrolytic cell temperature, and the change of the electrolytic cell temperature may lead to the change of the sidewall protrusion, which will eventually lead to the change of the molecular ratio. Therefore, other parameters such as pole distance and cell voltage can also be considered when controlling the amount of AlF ₃ additive, which can further improve the accuracy of AlF ₃ addition amount.

According to historical data, empirical knowledge and mechanism knowledge, it can be obtained that when the temperature of the electrolytic cell increases, the molecular ratio tends to decrease, which is mainly due to the addition of too much AlF _{3 , which can reduce the amount of AlF 3 added} . When the temperature of the electrolytic cell shows a downward trend, the molecular ratio shows an upward trend, which is mainly because the addition of AlF ₃ is too small, and the addition of AlF ₃ can be increased. When the slope of the upward trend of the molecular ratio is greater than the slope of the temperature change trend of the electrolytic cell, it is mainly caused by too little addition of AlF ₃ , and the addition of AlF ₃ can be increased. When the slope of the downward trend of the molecular ratio is greater than the bath temperature, this phenomenon is mainly caused by the addition of too much AlF ₃ , and the addition of AlF ₃ should be reduced. If the rate of decrease or increase of the molecular ratio is proportional to the temperature change of the electrolytic cell, in this case, the amount of AlF ₃ added should be reduced or increased. However, if the rising slope or falling slope of the molecular ratio is proportional to the temperature of the electrolytic cell, the amount _of AlF added should be reduced or increased. However, if the rising slope or falling slope is smaller than the rising slope of the electrolytic cell temperature, these phenomena are mainly caused by other factors. Therefore, some other measures should be adopted to adjust the molecular ratio. Therefore, based on the law obtained from historical data, empirical knowledge and mechanism knowledge, the aluminum fluoride addition amount corresponding to each combination after various temperature change trends and various molecular ratio change trends can be determined.

Further, in order to simplify the control strategies stored in the preset control rules, or to simplify the corresponding relationship, after combining various temperature change trends and various molecular ratio change trends, the slope and molecular ratio corresponding to the temperature change trends in each combination can also be calculated. According to the slope of the ratio change trend, the slope and the amount of aluminum fluoride addition are divided into different levels, and then the control strategy is simplified into various temperature change trend levels, various molecular ratio change trend levels and aluminum fluoride addition levels. corresponding relationship. That is, in one embodiment, the preset control rules specifically include the levels of various electrolytic tank temperature change trends, the levels of various molecular ratio change trends, the levels of various geometric similarities and the amounts of aluminum fluoride added. The corresponding relationship between the levels; wherein, the levels of the various electrolytic cell temperature change trends are obtained based on the grade division of the slopes corresponding to the various electrolytic cell temperature change trends, and the levels of the various molecular ratio change trends, The levels of the various geometric similarities are obtained based on the classification of the slopes corresponding to the changing trends of various molecular ratios, and the levels of the various geometric similarities are obtained based on the classification of the various geometric similarities. The levels of the added amounts of aluminum fluoride are based on The addition amount of aluminum fluoride is classified into grades; then, the determination of the addition amount of aluminum fluoride based on the target characteristic parameter group and the preset control rules includes: determining the slope corresponding to the temperature change trend of the electrolytic cell. The first level is to determine the second level to which the slope corresponding to the molecular ratio change trend belongs, and to determine the third level to which the geometric similarity belongs; based on the levels of the various electrolytic cell temperature change trends, various molecular ratios The level of change trend, the level of various geometric similarities and the corresponding relationship between the levels of each aluminum fluoride addition, determine the fluoride corresponding to the first level, the second level and the third level Aluminum addition level.

Among them, the corresponding relationship between the grades of various electrolytic cell temperature change trends, the grades of various molecular ratio change trends, the grades of various geometric similarities and the grades of each aluminum fluoride addition can be specifically carried out through the following process Establish:

When the temperature change trend of the electrolytic cell and the molecular ratio temperature change trend are straight lines, the slope of the two is the slope of the straight line. When the change trend is a curve, the average slope of the curve can be calculated, and the calculated average slope is used as the slope corresponding to the change trend of the curve. The average slope of the curve is calculated as follows:

Among them, _ki is the slice slope of the curve, as shown in Fig. 5, and m is the number of the divided curve. It can be determined according to the precision required for industrial control.

However, in practical applications, there may be a special case where two trendlines are different, but their slopes are calculated to be the same. As shown in Figure 6. The change trends of MR1 and MR2 are different, but their average slopes are the same, so that after combining these two trend lines with the same temperature change trend line to obtain two combinations, these two combinations may correspond to the same aluminum fluoride addition The strategy will affect the matching degree of aluminum fluoride addition and different working conditions of aluminum electrolysis, and affect the accurate control of aluminum fluoride addition.

Therefore, in order to avoid this situation and improve the accuracy of the control of the amount of aluminum fluoride added, the embodiment of the present application further combines the geometric similarity between the temperature change trend and the molecular ratio change trend to establish the above corresponding relationship. In one embodiment, the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend is determined through the following process: according to the first trend line corresponding to the temperature change trend of the electrolytic cell, determine the second The first area formed by a trend line and the coordinate axis; according to the second trend line corresponding to the molecular ratio change trend, determine the second area formed by the second trend line and the coordinate axis; calculate the first area and the The overlapping area between the second areas, and determine the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend according to the overlapping area.

Specifically, when the direction of change of the temperature of the electrolytic cell is similar to that of the molecular ratio, the geometric similarity η _of the two trends can be calculated as follows:

V _s =S ₂ ∩S ₁ (24)

Among them, S2 is the molecular trend line and the area in the positive direction of the X _- axis, as shown in Figure 7(a). S ₁ is the area of the electrolytic tank temperature trend line and the positive direction of the X axis, as shown in Figure 7(b). Vs (denoted by Δs in the figure) is the overlapping area of S ₂ and S ₁ , and S is the area covered by a line perpendicular to the coordinate axis, as shown in Figure 7(c), η ₁ ∈ (0,1).

When the direction of change of the temperature of the electrolytic cell is opposite to that of the molecular ratio, the geometric similarity η of the _two trends can be calculated as follows:

V _s1 ＝S ₃ ∩S ₁ (26)

Among them, S ₃ is the area of the molecular change trend line and the positive direction of the X-axis, as shown in Figure 8(a). Figure 8(b) is the same as that of S1 in Figure ₇ (b). Vs ₁ (denoted by Δs ₁ in the figure) is the overlapping area of S ₃ and S ₁ , as shown in Fig. 8(c), η ₂ ∈ [1,2).

Then, classify the slopes corresponding to various temperature change trends, classify the slopes corresponding to various molecular ratio change trends, classify various geometric similarities, and classify various aluminum fluoride additions divided. This level division processing can also be called fuzzy processing, and the specific process can be as follows:

根据现场控制的要求。电解槽温度变化趋势的斜率的从属度函数为：In the aluminum electrolytic production process, the temperature of the electrolytic cell is generally 900°C to 1000°C, and the optimum temperature is about 930°C. The average range of electrolyzer temperature [-100,100]. It is divided into five intervals, such as

According to the requirements of on-site control. The membership function of the slope of the temperature change trend of the electrolytic cell is:

为电解槽温度变化趋势对应的斜率。通过上述公式，可以对各种温度变化趋势对应的斜率进行级别划分，各级别分别为：负大、负中、小、正中、正大。in,

is the slope corresponding to the temperature change trend of the electrolytic cell. Through the above formula, the slopes corresponding to various temperature change trends can be graded, and each grade is: negative large, negative medium, small, positive medium, and positive large.

分子比的模糊函数计算如下：In the process of aluminum electrolysis, CR is generally 2.5 to 4.5, the average value does not exceed 4.5, and the best CR value is about 3.5. Therefore, the value range of the slope corresponding to the CR change trend is [-1, 1]. It can be divided into five intervals, such as

The ambiguity function of the molecular ratio is calculated as follows:

为CR变化趋势对应的斜率。通过上述公式，可以对各种CR变化趋势对应的斜率进行级别划分，各级别分别为：负大、负中、小、正中、正大。in,

is the slope corresponding to the trend of CR change. Through the above formula, the slopes corresponding to various CR change trends can be graded, and each grade is: negative large, negative medium, small, positive medium, and positive large.

The range of geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend is [0,2], which can be divided into five intervals, such as η=f(η _d )=[PVSD, PSD, PMD, PBD, PVBD ]=[Positive minimum, positive small, central, positive large, positive maximum]. The blur function for the similarity slope is calculated as follows:

Wherein, η _d is the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend. Through the above formula, various geometric similarities can be divided into levels, and each level is: positive minimum, positive small, positive medium, positive large, positive maximum.

In the actual production process, the amount of AlF ₃ added is 0 kg to 96 kg per day. Therefore, the addition rate of AlF ₃ is [0kg/h, 4kg/h], which can be divided into six intervals, such as f( _νAlF3 )=[VSV, SV, MV, BV, VBV]=[very small, small , medium, large, very large]. The ambiguity function of the addition rate of _AlF3 is calculated as follows:

Among them, _νAlF3 is the addition rate of aluminum fluoride. Through the above formula, the addition rate of aluminum fluoride can be graded, and each grade is: very small, small, medium, large, and very large.

The resulting corresponding relationship between various temperature change trend levels, various molecular ratio change trend levels, various geometric similarity levels and each aluminum fluoride addition level can be shown in Table 1 below:

Table 1

Furthermore, after the prediction model predicts the temperature change trend of the electrolytic cell and the molecular ratio change trend, the first level to which the slope corresponding to the temperature change trend of the electrolytic cell belongs can be further determined, and the slope corresponding to the molecular ratio change trend can be determined. The second level, and determine the third level to which the geometric similarity belongs; based on, for example, the levels of various electrolytic cell temperature variation trends, the levels of various molecular ratio variation trends, and the levels of various geometric similarities described in Table 1 Correspondence between levels of each aluminum fluoride addition amount (addition rate) determines the aluminum fluoride addition level corresponding to the first level, the second level, and the third level.

In practical application, after the aluminum fluoride addition level corresponding to the temperature change trend and the molecular ratio change trend is determined by the above method, the aluminum fluoride addition level can also be converted into the specific level corresponding to the level. Aluminum fluoride addition amount (specific addition rate), this conversion process can also be called defuzzification treatment. That is, in one embodiment, after determining the aluminum fluoride addition levels corresponding to the first level, the second level and the third level, the method further includes: determining The aluminum fluoride addition amount corresponding to the aluminum chloride addition amount level, the addition of aluminum fluoride is carried out according to the addition amount.

Furthermore, the actuator can control the equipment for adding aluminum fluoride in the production industrial site based on the specific amount of aluminum fluoride added.

Based on the method for controlling the amount of aluminum fluoride added in the above-mentioned embodiments of the present application, the embodiments of the present application also provide a more specific method for controlling the amount of aluminum fluoride added, because this method combines multivariate trends (including temperature changes) trend and molecular ratio change trend), this method can also be called an aluminum fluoride control method based on multivariate trend prediction. It should be understood that the method for controlling the added amount of aluminum fluoride is only a specific example, and does not represent a limitation to the method for controlling the added amount of aluminum fluoride provided in the embodiment of the present application. The flow of the method can be shown in Figure 9, and the method is specifically:

The database collects historical production data and current production data from the industrial site. The current production data includes the data required by the forecasting model, and the historical production data includes the data required for the decision-making knowledge base to establish control rules.

The prediction model (represented by a prediction algorithm in the figure) predicts the temperature change trend of the electrolytic cell and the molecular ratio change trend based on the first electrolytic cell temperature and the first molecular ratio in the production data at the current moment. The decision knowledge base establishes control rules based on historical production data, empirical knowledge and mechanism knowledge. Wherein, the specific establishment process of the control rule may refer to the above-mentioned embodiments and will not be repeated here. The decision-making knowledge base stores the corresponding relationship between various temperature change trend levels, various molecular ratio change trend levels, various geometric similarity levels and each aluminum fluoride addition level, as shown in Table 1. After the forecast is completed, the current production data can be used as historical production data to update the control rules.

According to the predicted temperature change trend of the electrolytic cell and the molecular ratio change trend, the characteristics of the change trend are obtained, that is, the slope corresponding to the temperature change trend of the electrolytic cell, the slope corresponding to the molecular ratio change trend, and the temperature change trend of the electrolytic cell and the molecular ratio change are determined. Geometric similarity of trends.

Fuzzify the slope corresponding to the temperature change trend of the electrolytic cell, the slope corresponding to the molecular ratio change trend, and the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend; that is, determine that the slope corresponding to the temperature change trend of the electrolytic cell belongs to Which level among negative large, negative medium, small, positive medium and positive large, determine which level the slope corresponding to the molecular ratio change trend belongs to negative large, negative medium, small, positive medium and positive large, and determine that the geometric similarity belongs to positive minimum Which level among , positive small, positive medium, positive large and positive maximum.

The reasoning engine can perform the matching action, and match the level of the slope corresponding to the temperature change trend of the electrolytic cell, the level of the slope corresponding to the change trend of the molecular ratio, the geometric similarity level, and the corresponding aluminum fluoride addition level from Table 1. level.

Further through the defuzzification process, the determined aluminum fluoride addition level is converted into the specific aluminum fluoride addition level corresponding to the level, and then the actuator is based on the specific aluminum fluoride addition amount for adding fluorine in the production industrial site. Aluminum equipment for control.

Using the method for controlling the addition of aluminum fluoride provided in the embodiment of the present application, by obtaining the first electrolytic cell temperature and the first molecular ratio; based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model , determine the temperature change trend of the electrolytic cell and the molecular ratio change trend; the preset prediction model is established based on the historical temperature of the electrolytic cell and the historical molecular ratio; according to the temperature change trend of the electrolytic cell and the molecular ratio change trend, determine the fluorination The amount of aluminum added; since the temperature change trend of the electrolytic cell and the molecular ratio change trend in the aluminum electrolytic production process can be predicted, and the addition amount of aluminum fluoride is determined based on the predicted electrolytic cell temperature change trend and molecular ratio change trend, so that The amount of aluminum fluoride added can be matched with the changing working conditions in the aluminum electrolytic production process, so as to realize the accurate control of the added amount of aluminum fluoride.

It should be noted that the implementation of the method for controlling the amount of aluminum fluoride added in the embodiment of the present application may be a device for controlling the amount of aluminum fluoride added, or the device for controlling the amount of aluminum fluoride added is used to control the amount of aluminum fluoride The control module of the method of aluminum addition amount. In the embodiment of the present application, the device for controlling the amount of aluminum fluoride added is used as an example to illustrate the device for controlling the amount of aluminum fluoride added provided in the embodiment of the present application.

The embodiment of the present application also provides a device 200 for controlling the amount of aluminum fluoride added, as shown in Figure 10, the device 200 for controlling the amount of aluminum fluoride added includes:

An acquisition module 201, configured to acquire the temperature of the first electrolyzer and the first molecular ratio.

Wherein, the first electrolytic cell temperature may specifically be the temperature of the electrolytic cell at the current moment, and the first molecular ratio may specifically be the electrolyte molecular ratio in the electrolytic cell at the current moment.

Prediction module 202, for determining the change trend of electrolytic cell temperature and molecular ratio based on the first electrolytic cell temperature, the first molecular ratio and a preset predictive model; the preset predictive model is based on the Historical temperatures and historical molecular ratios are established.

Wherein, the preset prediction model is established based on the historical temperature of the electrolyzer and the historical molecular ratio. The change trend of the temperature of the electrolytic cell may specifically be the change trend of the temperature of the electrolytic cell from the current moment (the moment when the temperature of the first electrolytic cell is collected) to the future. The change trend of the molecular ratio may specifically be the change trend of the molecular ratio from the current moment (the moment when the electrolyte composition data is collected) to the future. That is, by inputting the first electrolytic tank temperature and the first molecular ratio into the preset prediction model, the changing trend of the electrolytic tank temperature and the changing trend of the molecular ratio from the current moment to the subsequent production process can be predicted.

The determination module 203 is configured to determine the amount of aluminum fluoride to be added according to the change trend of the temperature of the electrolytic cell and the change trend of the molecular ratio.

Using the device for controlling the amount of aluminum fluoride added provided in the embodiment of the present application, by obtaining the first electrolytic cell temperature and the first molecular ratio; based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model , determine the temperature change trend of the electrolytic cell and the molecular ratio change trend; the preset prediction model is established based on the historical temperature of the electrolytic cell and the historical molecular ratio; according to the temperature change trend of the electrolytic cell and the molecular ratio change trend, determine the fluorination The amount of aluminum added; since the temperature change trend of the electrolytic cell and the molecular ratio change trend in the aluminum electrolytic production process can be predicted, and the addition amount of aluminum fluoride is determined based on the predicted electrolytic cell temperature change trend and molecular ratio change trend, so that The amount of aluminum fluoride added can be matched with the changing working conditions in the aluminum electrolytic production process, so as to realize the accurate control of the added amount of aluminum fluoride.

In one embodiment, the preset prediction model is established based on the Levenberg-Marquardt algorithm and the square root unscented Kalman filter algorithm.

In one embodiment, the determination module 203 is specifically configured to determine a target characteristic parameter set according to the change trend of the electrolytic cell temperature and the change trend of the molecular ratio;

Determine the amount of aluminum fluoride added based on the target characteristic parameter set and preset control rules;

Wherein, the preset control rule includes the correspondence between various characteristic parameter groups and the amount of aluminum fluoride added.

In one embodiment, the target characteristic parameter set includes the slope corresponding to the temperature change trend of the electrolytic cell, the slope corresponding to the molecular ratio change trend, and the temperature change trend of the electrolytic cell and the molecular ratio change trend geometric similarity;

The preset control rules include the slopes corresponding to various electrolytic cell temperature change trends, the slopes corresponding to various molecular ratio change trends, and the correspondence between various geometric similarities and the amount of aluminum fluoride added.

In one embodiment, the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend is determined by the following process:

According to the first trend line corresponding to the temperature change trend of the electrolytic cell, determine the first area formed by the first trend line and the coordinate axis;

According to the second trend line corresponding to the change trend of the molecular ratio, determine the second area formed by the second trend line and the coordinate axis;

Calculating the overlapping area between the first area and the second area, and determining the geometric similarity between the temperature change trend of the electrolytic cell and the molecular ratio change trend according to the overlapping area.

In one embodiment, the preset control rules specifically include the levels of various electrolytic cell temperature change trends, the levels of various molecular ratio change trends, the levels of various geometric similarities, and the levels of each aluminum fluoride addition. The corresponding relationship between; wherein, the levels of the various electrolytic cell temperature change trends are obtained based on the grade division of the slopes corresponding to the various electrolytic cell temperature change trends, and the levels of the various molecular ratio change trends are based on the The slopes corresponding to the changing trends of various molecular ratios are graded, and the grades of the various geometric similarities are obtained based on the grades of the various geometric similarities. The grades of the added amounts of aluminum fluoride are obtained based on the fluorine The amount of aluminum added is divided into grades; then the determination module 203 is specifically used to determine the first grade to which the slope corresponding to the temperature change trend of the electrolytic cell belongs, and determine the first grade to which the slope corresponding to the molecular ratio change trend belongs. a second level, and a third level to which said geometric similarity belongs;

Based on the correspondence between the levels of the various electrolytic cell temperature change trends, the levels of various molecular ratio change trends, the levels of various geometric similarities, and the levels of each aluminum fluoride addition, determine the relationship with the first level, the second level and the level of aluminum fluoride addition corresponding to the third level.

In one embodiment, the determination module 203 is further configured to determine the aluminum fluoride addition levels corresponding to the first level, the second level, and the third level, and then determine the The aluminum fluoride addition level corresponds to the addition amount of aluminum fluoride, and the addition of aluminum fluoride is performed according to the addition amount.

The device for controlling the amount of aluminum fluoride added in the embodiment of the present application may be a device, or a component in a terminal, an integrated circuit, or a chip. The device may be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., non-mobile electronic equipment can be server, network attached storage (NetworkAttached Storage, NAS), personal computer (personal computer, PC), television (television, TV), teller machine or self-service machine, etc. Examples are not specifically limited.

The device for controlling the amount of aluminum fluoride added in the embodiment of the present application may be a device with an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, which are not specifically limited in this embodiment of the present application.

The device for controlling the amount of aluminum fluoride added provided in the embodiment of the present application can realize various processes realized in the method embodiments shown in Fig. 1 to Fig. 9 , and will not be repeated here to avoid repetition.

The device for controlling the addition of aluminum fluoride provided in the embodiment of the present application obtains the temperature of the first electrolytic cell and the first molecular ratio; based on the temperature of the first electrolytic cell, the first molecular ratio and a preset prediction model, Determine the temperature change trend of the electrolytic cell and the molecular ratio change trend; the preset prediction model is established based on the historical temperature of the electrolytic cell and the historical molecular ratio; according to the temperature change trend of the electrolytic cell and the molecular ratio change trend, determine the aluminum fluoride The addition amount of aluminum fluoride can be determined because the temperature change trend of the electrolytic cell and the molecular ratio change trend in the aluminum electrolytic production process can be predicted, and the addition amount of aluminum fluoride can be determined based on the predicted temperature change trend of the electrolytic cell and the molecular ratio change trend, so that the fluorine The amount of aluminum fluoride added can be matched with the changing working conditions in the aluminum electrolytic production process, so as to realize the accurate control of the amount of aluminum fluoride added.

Optionally, as shown in FIG. 11 , the embodiment of the present application further provides an electronic device 300, including a processor 310, a memory 309, and programs or instructions stored in the memory 309 and operable on the processor 310, When the program or instruction is executed by the processor 310, the various processes of the above-mentioned method embodiment for controlling the amount of aluminum fluoride added can be achieved, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

FIG. 11 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 300 includes, but is not limited to: a radio frequency unit 301, a network module 302, an audio output unit 303, an input unit 304, a sensor 305, a display unit 306, a user input unit 307, an interface unit 308, a memory 309, and a processor 310, etc. part.

Those skilled in the art can understand that the electronic device 300 can also include a power supply (such as a battery) for supplying power to various components, and the power supply can be logically connected to the processor 310 through the power management system, so that the management of charging, discharging, and function can be realized through the power management system. Consumption management and other functions. The structure of the electronic device shown in FIG. 11 does not constitute a limitation to the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine some components, or arrange different components, and details will not be repeated here. . In the embodiment of the present invention, electronic devices include but are not limited to mobile phones, tablet computers, notebook computers, palmtop computers, vehicle-mounted terminals, wearable devices, and pedometers.

Wherein, the processor 310 is used to obtain the first electrolytic cell temperature and the first molecular ratio; based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model, determine the temperature change trend of the electrolytic cell and the molecular ratio. Ratio change trend; the preset prediction model is established based on the historical temperature of the electrolytic cell and the historical molecular ratio; according to the change trend of the electrolytic cell temperature and the molecular ratio change trend, the amount of aluminum fluoride added is determined.

The electronic device provided in the embodiment of the present application obtains the temperature of the first electrolytic tank and the first molecular ratio; based on the temperature of the first electrolytic tank, the first molecular ratio and a preset prediction model, the temperature change trend of the electrolytic tank is determined and molecular ratio change trend; the preset predictive model is established based on electrolytic cell historical temperature and historical molecular ratio; according to the electrolytic cell temperature change trend and the molecular ratio change trend, determine the amount of aluminum fluoride added; because it can Predict the temperature change trend of the electrolytic cell and the molecular ratio change trend during the aluminum electrolytic production process, and determine the amount of aluminum fluoride added based on the predicted temperature change trend of the electrolytic cell and the molecular ratio change trend, so that the added amount of aluminum fluoride can be It matches the changing working conditions in the production process of aluminum electrolysis, so as to realize the accurate control of the amount of aluminum fluoride added.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 301 can be used for receiving and sending signals during sending and receiving information or during a call. Specifically, the downlink data from the base station is received and processed by the processor 310; in addition, the Uplink data is sent to the base station. Generally, the radio frequency unit 301 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 301 can also communicate with the network and other devices through a wireless communication system.

The electronic device provides users with wireless broadband Internet access through the network module 302, such as helping users send and receive emails, browse web pages, and access streaming media.

The audio output unit 303 may convert audio data received by the radio frequency unit 301 or the network module 302 or stored in the memory 309 into an audio signal and output as sound. Also, the audio output unit 303 can also provide audio output related to a specific function performed by the electronic device 300 (eg, call signal reception sound, message reception sound, etc.). The audio output unit 303 includes a speaker, a buzzer, a receiver and the like.

The input unit 304 is used for receiving audio or video signals. The input unit 304 may include a graphics processing unit (Graphics Processing Unit, GPU) 3041 and a microphone 3042, and the graphics processing unit 3041 is used for still pictures or video images obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The data is processed. The processed image frames may be displayed on the display unit 306 . The image frames processed by the graphics processor 3041 may be stored in the memory 309 (or other storage medium) or sent via the radio frequency unit 301 or the network module 302 . The microphone 3042 can receive sound, and can process such sound into audio data. The processed audio data can be converted into a format that can be sent to a mobile communication base station via the radio frequency unit 301 for output in the case of a phone call mode.

The electronic device 300 also includes at least one sensor 305, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 3061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 3061 and the / or backlighting. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is still, and can be used to identify the posture of electronic equipment (such as horizontal and vertical screen switching, related games) , magnetometer attitude calibration), vibration recognition related functions (such as pedometer, knocking), etc.; the sensor 305 can also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, Infrared sensors, etc., will not be repeated here.

The display unit 306 is used to display information input by the user or information provided to the user. The display unit 306 may include a display panel 3061, and the display panel 3061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD) or an organic light-emitting diode (Organic Light-Emitting Diode, OLED).

The user input unit 307 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the electronic device. Specifically, the user input unit 307 includes a touch panel 3071 and other input devices 3072 . The touch panel 3071, also referred to as a touch screen, can collect touch operations of the user on or near it (for example, the user uses any suitable object or accessory such as a finger or a stylus on the touch panel 3071 or near the touch panel 3071). operate). The touch panel 3071 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to For the processor 310, receive the command sent by the processor 310 and execute it. In addition, the touch panel 3071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 3071 , the user input unit 307 may also include other input devices 3072 . Specifically, other input devices 3072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here. Further, the touch panel 3071 can be covered on the display panel 3061, and when the touch panel 3071 detects a touch operation on or near it, it will be sent to the processor 310 to determine the type of the touch event, and then the processor 310 can The type of event provides a corresponding visual output on the display panel 3061 . Although in FIG. 11, the touch panel 3071 and the display panel 3061 are used as two independent components to realize the input and output functions of the electronic device, in some embodiments, the touch panel 3071 and the display panel 3061 can be integrated. The implementation of the input and output functions of the electronic device is not specifically limited here.

The interface unit 308 is an interface for connecting an external device to the electronic device 300 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 308 can be used to receive input from an external device (for example, data information, power, etc.) transfer data between devices.

The memory 309 can be used to store software programs as well as various data. The memory 309 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc. In addition, the memory 309 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

The processor 310 is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device, by running or executing software programs and/or modules stored in the memory 309, and calling data stored in the memory 309 , to perform various functions of the electronic equipment and process data, so as to monitor the electronic equipment as a whole. The processor 310 may include one or more processing units; preferably, the processor 310 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem The processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 310 .

The electronic device 300 can also include a power supply 311 (such as a battery) for supplying power to various components. Preferably, the power supply 311 can be logically connected to the processor 310 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. and other functions.

In addition, the electronic device 300 includes some functional modules not shown, which will not be repeated here.

The embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, each process of the above-mentioned embodiment of the method for controlling the amount of aluminum fluoride added is realized , and can achieve the same technical effect, in order to avoid repetition, it will not be repeated here.

Wherein, the processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.

The embodiment of the present application further provides a chip, the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run programs or instructions to realize the above-mentioned control of the added amount of aluminum fluoride Each process of the method embodiment can achieve the same technical effect, so in order to avoid repetition, details are not repeated here.

It should be understood that the chips mentioned in the embodiments of the present application may also be called system-on-chip, system-on-chip, system-on-a-chip, or system-on-a-chip.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions are performed, for example, the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the technical solution of the present application can be embodied in the form of computer software products, which are stored in a storage medium (such as ROM/RAM, magnetic disk, etc.) , optical disc), including several instructions to enable a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Under the inspiration of this application, without departing from the purpose of this application and the scope of protection of the claims, many forms can also be made, all of which belong to the protection of this application.

Claims (10)

1. A method of controlling the amount of aluminum fluoride added, the method comprising:

obtaining a first cell temperature and a first molecular ratio;

determining the temperature variation trend and the molecular ratio variation trend of the electrolytic cell based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model; the preset prediction model is established based on the historical temperature and the historical molecular ratio of the electrolytic cell;

and determining the addition amount of the aluminum fluoride according to the temperature change trend of the electrolytic cell and the molecular ratio change trend.

2. The method for controlling the addition of aluminum fluoride as recited in claim 1, wherein the predetermined prediction model is established based on a Levenberg-Marquardt algorithm and a square root unscented kalman filter algorithm.

3. The method for controlling the addition amount of aluminum fluoride according to claim 1, wherein the determining the addition amount of aluminum fluoride according to the cell temperature variation tendency and the molecular ratio variation tendency comprises:

determining a target characteristic parameter set according to the temperature variation trend of the electrolytic cell and the molecular ratio variation trend;

determining the addition amount of aluminum fluoride based on the target characteristic parameter set and a preset control rule;

the preset control rule comprises the corresponding relation between various characteristic parameter groups and the addition amount of the aluminum fluoride.

4. The method of controlling an amount of aluminum fluoride added according to claim 3,

the target characteristic parameter set comprises a slope corresponding to the electrolytic bath temperature variation trend, a slope corresponding to the molecular ratio variation trend and geometric similarity of the electrolytic bath temperature variation trend and the molecular ratio variation trend;

the preset control rules comprise corresponding relations between slopes corresponding to various electrolytic bath temperature change trends, slopes corresponding to various molecular ratio change trends, and various geometric similarities and aluminum fluoride addition amounts.

5. The method for controlling the addition amount of aluminum fluoride as claimed in claim 4, wherein the geometrical similarity of the cell temperature variation tendency and the molecular ratio variation tendency is determined by:

determining a first area formed by the first trend line and a coordinate axis according to the first trend line corresponding to the temperature variation trend of the electrolytic cell;

determining a second area formed by the second trend line and the coordinate axis according to the second trend line corresponding to the molecular ratio variation trend;

calculating the overlapping area between the first area and the second area, and determining the geometrical similarity of the temperature variation trend of the electrolytic cell and the molecular ratio variation trend according to the overlapping area.

6. The method of controlling an amount of aluminum fluoride added according to claim 4,

the preset control rules specifically comprise the corresponding relations among the grades of various electrolytic bath temperature variation trends, the grades of various molecular ratio variation trends, the grades of various geometric similarities and the grades of various aluminum fluoride addition amounts; the grades of the various electrolytic cell temperature change trends are obtained by grading the slopes corresponding to the various electrolytic cell temperature change trends, the grades of the various molecular ratio change trends are obtained by grading the slopes corresponding to the various molecular ratio change trends, the grades of the various geometric similarities are obtained by grading the various geometric similarities, and the grades of the various aluminum fluoride addition amounts are obtained by grading the aluminum fluoride addition amounts;

determining the addition amount of the aluminum fluoride based on the target characteristic parameter group and a preset control rule, wherein the determining comprises the following steps:

determining a first grade to which a slope corresponding to the temperature variation trend of the electrolytic cell belongs, determining a second grade to which a slope corresponding to the molecular ratio variation trend belongs, and determining a third grade to which the geometric similarity belongs;

determining the levels of the added amount of aluminum fluoride corresponding to the first level, the second level and the third level based on the corresponding relations among the levels of the various electrolytic cell temperature variation trends, the levels of the various molecular ratio variation trends, the levels of the various geometric similarities and the levels of the added amount of aluminum fluoride.

7. The method of controlling an amount of aluminum fluoride added according to claim 6, wherein after determining the levels of aluminum fluoride added corresponding to the first level, the second level, and the third level, the method further comprises:

and determining the addition amount of the aluminum fluoride corresponding to the addition level of the aluminum fluoride, and adding the aluminum fluoride according to the addition amount.

8. An apparatus for controlling an amount of aluminum fluoride added, the apparatus comprising:

an obtaining module for obtaining a first cell temperature and a first molecular ratio;

the prediction module is used for determining the temperature variation trend and the molecular ratio variation trend of the electrolytic cell based on the first electrolytic cell temperature, the first molecular ratio and a preset prediction model; the preset prediction model is established based on the historical temperature and the historical molecular ratio of the electrolytic cell;

and the determining module is used for determining the addition amount of the aluminum fluoride according to the temperature change trend of the electrolytic cell and the molecular ratio change trend.

9. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executed on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method of controlling an amount of aluminum fluoride added according to any one of claims 1-7.

10. A readable storage medium, storing thereon a program or instructions which, when executed by a processor, carry out the steps of the method of controlling the amount of aluminum fluoride added according to any one of claims 1 to 7.

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