An intelligent temperature control method and system for the process of electrolyzing aluminum-silicon alloy

Abstract

The present invention discloses an intelligent temperature control method and system for the process of electrolyzing aluminum-silicon alloy, which includes: obtaining and analyzing the temperature monitoring data of the alloy mother liquor in the eutectic cell during the electrolysis process to determine the temperature change characteristics; determining the temperature change coefficient of the electrolysis process based on the temperature change characteristics, and setting the original working conditions of the external heat dissipation system according to it; obtaining the monitoring data of the silicon content in the alloy mother liquor in the eutectic cell, and comprehensively analyzing the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquor; adjusting the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor during the process of electrolyzing aluminum-silicon alloy. By accurately monitoring the silicon content, the present invention can ensure that the alloy mother liquor is within an appropriate working temperature range, thereby guaranteeing the quality and stability of alloy production, contributing to improving the efficiency of the electrolytic aluminum-silicon alloy production process, and reducing energy consumption and production costs.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control for electrolytic aluminum-silicon alloy, and particularly to an intelligent temperature control method and system for the electrolytic aluminum-silicon alloy process. Background Art

[0002] Aluminum-silicon alloy is a key alloy material used in various industrial fields such as aerospace, automotive manufacturing, and construction. During the production process, the temperature of the alloy mother liquor is a crucial parameter that directly affects the quality and performance of the alloy. However, the temperature of the electrolytic eutectic aluminum-silicon alloy technology is difficult to control, resulting in low current efficiency. As the silicon content in the alloy liquid changes, the energy utilization rate also changes, leading to changes in the system engineering principle. Among them, as the silicon content increases, the energy consumption per unit product decreases, and the electrolytic current efficiency decreases, causing the temperature of the eutectic cell to rise. At this time, heat needs to be dissipated in a timely manner, otherwise the furnace lining will melt, and in severe cases, even leakage of the cell will occur.

[0003] However, the traditional temperature control method cannot adapt to the above changes, has problems of untimely adjustment and low precision, is difficult to control the temperature of electrolytic eutectic, resulting in low current efficiency, poor product quality, increased energy consumption and production costs, and cannot meet the normal production requirements. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides an intelligent temperature control method and system for the electrolytic aluminum-silicon alloy process, including:

[0005] Obtain the temperature monitoring data of the alloy mother liquor in the eutectic cell during the electrolysis process, and analyze the temperature monitoring data to determine the temperature change characteristics;

[0006] Based on the temperature change characteristics, determine the temperature change coefficient of the electrolysis process, and set the original working conditions of the external heat dissipation system according to the temperature change coefficient;

[0007] Obtain the silicon content monitoring data of the alloy mother liquor in the eutectic cell, and comprehensively analyze the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquor;

[0008] Adjust the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor during the electrolytic aluminum-silicon alloy process.

[0009] Further, the obtaining of the temperature monitoring data during the electrolysis process and the analysis of the temperature monitoring data to determine the temperature change characteristics include:

[0010] Obtain the temperature monitoring data during the electrolysis of aluminum-silicon alloy, and construct a temperature change curve of the time progress based on the temperature monitoring data;

[0011] Calculate the slope values of the line segments between adjacent monitoring time nodes in chronological order, and calculate the data differences between adjacent monitoring time nodes;

[0012] Take the slope values of the line segments between adjacent monitoring time nodes and the data differences between adjacent monitoring time nodes as temperature change characteristics.

[0013] Further, determining the temperature change coefficient of the electrolysis process based on the temperature change characteristics includes:

[0014] Determine the slope values of the line segments between adjacent monitoring time nodes and the data differences between adjacent monitoring time nodes, calculate the average value of the slope values of the line segments between all adjacent monitoring time nodes to obtain the first average value, and calculate the average value of the data differences between all adjacent monitoring time nodes to obtain the second average value;

[0015] Evaluate and obtain values for the first average value and the second average value respectively to obtain the first average value evaluation value and the second average value evaluation value, and determine the temperature change coefficient of the electrolysis process based on the first average value evaluation value and the second average value evaluation value. The calculation formula for the temperature change coefficient of the electrolysis process is:

[0016] K = α * M + β * N,

[0017] where K is the influence value, α is the first preset weight, M is the first average value evaluation value, β is the second preset weight, and N is the second average value evaluation value.

[0018] Further, setting the original working conditions of the external heat dissipation system according to the temperature change coefficient includes:

[0019] Obtain the temperature change coefficient △X of the electrolysis process and the preset standard temperature change coefficient X0, and determine the preset first preset difference X1, second preset difference X2, third preset difference X3, and fourth preset difference X4, and X1 < X2 < X3 < X4; there are preset first preset working conditions L1(a1, b1), second preset working conditions L2(a2, b2), third preset working conditions L3(a3, b3), and fourth preset working conditions L4(a4, b4) for the external heat dissipation system. Among them, the external heat dissipation system includes a side cooling device and a top heat exchange device. a1 - a4 are the first to fourth preset cooling temperatures of the side cooling device in sequence, and a1 < a2 < a3 < a4. b1 - b4 are the first to fourth preset flue gas flow rates of the top heat exchange device in sequence, and b1 < b2 < b3 < b4;

[0020] Select the preset working condition Li as the original working condition of the external heat dissipation system according to the difference between the temperature change coefficient △X and the preset standard temperature change coefficient X0;

[0021] When △X - X0 ≤ X1, select the first preset working condition L1 as the original working condition of the external heat dissipation system;

[0022] When X1 < △X - X0 ≤ X2, select the second preset working condition L2 as the original working condition of the external heat dissipation system;

[0023] When X2 < △X - X0 ≤ X3, select the third preset working condition L3 as the original working condition of the external heat dissipation system;

[0024] When X3 < △X - X0 ≤ X4, select the fourth preset working condition L4 as the original working condition of the external heat dissipation system;

[0025] Control the external heat dissipation system to operate according to the selected i-th preset original working condition Li(ai, bi) as the original working condition of the external heat dissipation system.

[0026] Further, the method for obtaining the monitoring data of the silicon content in the eutectic bath alloy mother liquor, and comprehensively analyzing the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquor includes:

[0027] Obtain the monitoring data of the silicon content in the eutectic bath alloy mother liquor, and determine the temperature monitoring data of the alloy mother liquor in the eutectic bath;

[0028] Based on the silicon content monitoring data and the temperature monitoring data, respectively construct a silicon content change curve and a temperature change curve of the time progress, and determine the silicon content change stage in the silicon content change curve;

[0029] Determine the silicon content change amount in each silicon content change stage, and calculate the temperature change amount in the temperature change curve corresponding to each silicon content change stage;

[0030] Calculate the ratio of the silicon content change amount in each silicon content change stage to the temperature change amount in the temperature change curve corresponding to each silicon content change stage, obtain the change amount ratio corresponding to each silicon content change stage, and determine the time length corresponding to each silicon content change stage;

[0031] Based on the change amount ratio and the time length corresponding to each silicon content change stage, determine the influence value of the silicon content change on the temperature of the alloy mother liquor, and based on the influence value of the silicon content change on the temperature of the alloy mother liquor, determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquor, where the calculation formula for the influence value of the silicon content change on the temperature of the alloy mother liquor is:

[0032] ,

[0033] Wherein, S is the influence value of the change in silicon content on the temperature of the alloy mother liquor, f is a preset conversion coefficient, Pi is the change ratio corresponding to the i-th silicon content change stage, Ti is the time length corresponding to the i-th silicon content change stage, and n is the number of silicon content change stages.

[0034] Further, determining the influence coefficient of the change in silicon content on the temperature of the alloy mother liquor based on the influence value of the change in silicon content on the temperature of the alloy mother liquor includes:

[0035] Pre-set the corresponding relationship between the influence coefficient - influence value interval, wherein for each influence value interval in the corresponding relationship between the influence coefficient - influence value interval, a corresponding influence coefficient is associated;

[0036] Obtain the influence value of the change in silicon content on the temperature of the alloy mother liquor, and based on the mapping relationship of the influence value interval to which the influence value belongs in the corresponding relationship between the influence coefficient - influence value interval, select the influence coefficient corresponding to the influence value interval as the corresponding influence coefficient.

[0037] Further, adjusting the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor during the electrolysis of aluminum - silicon alloy includes:

[0038] Obtain the influence coefficient mi, and adjust the original working conditions Li(ai, bi) of the external heat dissipation system according to the influence coefficient mi to obtain Li(ai * mi, bi * mi), and control the intelligent temperature control of the electrolysis of aluminum - silicon alloy process by the external heat dissipation system according to the adjusted working conditions Li(ai * mi, bi * mi).

[0039] The present invention also provides an intelligent temperature control system for the electrolysis process of aluminum - silicon alloy, including:

[0040] An acquisition module, configured to acquire the temperature monitoring data of the alloy mother liquor in the eutectic tank during the electrolysis process, and analyze the temperature monitoring data to determine the temperature change characteristics;

[0041] A setting module, configured to determine the temperature change coefficient of the electrolysis process based on the temperature change characteristics, and set the original working conditions of the external heat dissipation system according to the temperature change coefficient;

[0042] A determination module, configured to acquire the silicon content monitoring data of the alloy mother liquor in the eutectic tank, and comprehensively analyze the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the change in silicon content on the temperature of the alloy mother liquor;

[0043] A regulation module, configured to adjust the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor during the electrolysis process of aluminum - silicon alloy.

[0044] Compared with the prior art, the intelligent temperature control method and system for the electrolytic aluminum-silicon alloy process in the embodiments of the present invention have the following beneficial effects:

[0045] By precisely monitoring the silicon content, analyzing the influence of the silicon content change on the temperature, and adjusting the temperature of the electrolysis process according to the analysis result, the present invention ensures that the alloy mother liquor is within an appropriate working temperature range, thereby guaranteeing the quality and stability of alloy production, helping to improve the efficiency of the electrolytic aluminum-silicon alloy production process, and at the same time reducing energy consumption and production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a schematic flow structure diagram of the intelligent temperature control method for the electrolytic aluminum-silicon alloy process in the embodiments of the present invention;

[0047] Figure 2 is a schematic composition diagram of the intelligent temperature control system for the electrolytic aluminum-silicon alloy process in the embodiments of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] The following further describes in detail the specific embodiments of the present application in conjunction with the drawings and embodiments. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0049] In the description of the present application, it should be understood that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present application.

[0050] The terms "", "second" are only used for descriptive purposes and cannot be understood as indicating or implying a relative importance coefficient or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "", "second" may explicitly or implicitly include one or more of such features. In the description of the present application, unless otherwise stated, the meaning of "a plurality" is two or more.

[0051] In the description of the present application, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to specific situations.

[0052] As Figure 1 shown, in an embodiment of the present application, an intelligent temperature control method for the electrolysis process of aluminum-silicon alloy is provided, including: S100: Obtain the temperature monitoring data of the alloy mother liquor in the eutectic cell during the electrolysis process, and analyze the temperature monitoring data to determine the temperature change characteristics; S200: Determine the temperature change coefficient of the electrolysis process based on the temperature change characteristics, and set the original working conditions of the external heat dissipation system according to the temperature change coefficient; S300: Obtain the silicon content monitoring data of the alloy mother liquor in the eutectic cell, and comprehensively analyze the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquor; S400: Adjust the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor during the electrolysis process of aluminum-silicon alloy.

[0053] Furthermore, the present invention accurately monitors the silicon content, analyzes the influence of the silicon content change on the temperature, adjusts the temperature of the electrolysis process according to the analysis result, ensures that the alloy mother liquor is within an appropriate working temperature range, thereby guaranteeing the quality and stability of alloy production, contributing to improving the efficiency of the electrolysis process of aluminum-silicon alloy, and at the same time reducing energy consumption and production costs.

[0054] In an embodiment of the present application, an intelligent temperature control method for the electrolysis process of aluminum-silicon alloy is provided. The obtaining of the temperature monitoring data during the electrolysis process and the analysis of the temperature monitoring data to determine the temperature change characteristics include: obtaining the temperature monitoring data during the electrolysis process of aluminum-silicon alloy, and constructing a temperature change curve of the time progress based on the temperature monitoring data; calculating the slope values of the line segments between adjacent monitoring time nodes in sequence according to the time order, and calculating the data differences between adjacent monitoring time nodes; using the slope values of the line segments between adjacent monitoring time nodes and the data differences between adjacent monitoring time nodes as the temperature change characteristics.

[0055] Specifically, install a temperature sensor to obtain the temperature of the alloy mother liquor in the eutectoid tank, arrange the temperature monitoring data in chronological order to form a time series, plot the temperature change curve of the time progress; on the temperature change curve of the time progress, by calculating the slope value of the line segment between adjacent monitoring time nodes, the rate of temperature change can be obtained. At the same time, calculate the data difference between adjacent monitoring time nodes, that is, the temperature change amount. Among them, the slope value represents the rate of temperature change, a positive slope indicates a temperature rise, a negative slope indicates a temperature drop, the absolute value of the slope represents the speed of change, and the data difference represents the temperature change amount between adjacent time nodes, which can help understand the amplitude of temperature change. By analyzing the slope value and data difference of the temperature change curve in this step, the characteristics and trends of temperature change can be more intuitively understood; further analyzing these characteristics can help optimize the temperature control strategy in the production process, improve production efficiency and product quality; by real-time monitoring and analyzing the temperature change characteristics, the temperature control system can be adjusted in time to ensure the stability and controllability of the temperature during the alloy production process. To sum up, by calculating and analyzing the slope and data difference of the temperature monitoring data in the electrolysis process of aluminum-silicon alloy, the temperature change characteristics can be better understood, so as to achieve the goal of more accurate temperature control and optimized production efficiency, improve the intelligent level of the production process, reduce production costs and energy consumption, and ensure product quality and production stability at the same time.

[0056] In an embodiment of the present application, an intelligent temperature control method for the electrolysis process of aluminum-silicon alloy is provided. The temperature change coefficient of the electrolysis process is determined based on the temperature change characteristics, including: determining the slope value of the line segment between adjacent monitoring time nodes and the data difference between adjacent monitoring time nodes, and calculating the average value of the slope values of the line segments between all adjacent monitoring time nodes to obtain the first average value, and calculating the average value of the data differences between all adjacent monitoring time nodes to obtain the second average value; respectively evaluating and taking values for the first average value and the second average value to obtain the first average value evaluation value and the second average value evaluation value, and determining the temperature change coefficient of the electrolysis process based on the first average value evaluation value and the second average value evaluation value. The calculation formula for the temperature change coefficient of the electrolysis process is as follows:

[0057] K = α * M + β * N,

[0058] where K is the influence value, α is the first preset weight, M is the first average value evaluation value, β is the second preset weight, and N is the second average value evaluation value.

[0059] Specifically, obtain the slope values of the line segments between all adjacent monitoring time nodes, then calculate the average of these slope values to obtain the first average value. Next, obtain the data differences between all adjacent monitoring time nodes, and then calculate the average of these data differences to obtain the second average value; evaluate and take values for the first average value and the second average value, and the evaluation value can reflect the rate and amplitude of temperature change; based on the first average value evaluation and the second average value evaluation, determine the temperature change coefficient of the electrolysis process, and this coefficient can reflect the degree of influence of temperature change on the electrolysis process. By calculating and evaluating the average value of the temperature change characteristics in this step, the trend and characteristics of temperature change can be understood more comprehensively, which helps to formulate a more accurate control strategy; it can help production enterprises better understand and control the temperature change in the electrolysis process, thereby optimizing the production process, reducing production costs, and ensuring product quality and production efficiency at the same time. In summary, by calculating the average values of the slope values and data differences and determining the temperature change coefficient of the electrolysis process based on these average values, enterprises can better understand and control the temperature change in the electrolysis process, thereby optimizing the production process, improving production efficiency, reducing costs, and ensuring product quality.

[0060] In an embodiment of the present application, an intelligent temperature control method for the electrolysis of aluminum-silicon alloy is provided. Setting the original working conditions of the external heat dissipation system according to the temperature change coefficient includes: obtaining the temperature change coefficient △X of the electrolysis process and the preset standard temperature change coefficient X0, and determining the preset first preset difference X1, second preset difference X2, third preset difference X3, and fourth preset difference X4, and X1 < X2 < X3 < X4; there are preset first preset working conditions L1(a1, b1), second preset working conditions L2(a2, b2), third preset working conditions L3(a3, b3), and fourth preset working conditions L4(a4, b4) of the external heat dissipation system. Among them, the external heat dissipation system includes a side cooling device and a top heat exchange device. a1 - a4 are the first to fourth preset cooling temperatures of the side cooling device in sequence, and a1 < a2 < a3 < a4. b1 - b4 are the first to fourth preset flue gas flows of the top heat exchange device in sequence, and b1 < b2 < b3 < b4; select the preset working condition Li as the original working condition of the external heat dissipation system according to the difference between the temperature change coefficient △X and the preset standard temperature change coefficient X0; when △X - X0 ≤ X1, select the first preset working condition L1 as the original working condition of the external heat dissipation system; when X1 < △X - X0 ≤ X2, select the second preset working condition L2 as the original working condition of the external heat dissipation system; when X2 < △X - X0 ≤ X3, select the third preset working condition L3 as the original working condition of the external heat dissipation system; when X3 < △X - X0 ≤ X4, select the fourth preset working condition L4 as the original working condition of the external heat dissipation system; control the external heat dissipation system to operate according to the selected i-th preset original working condition Li(ai, bi) as the original working condition of the external heat dissipation system.

[0061] Specifically, obtain the temperature change coefficient △X during the electrolysis process and the preset standard temperature change coefficient X0; determine the preset first to fourth preset differences X1, X2, X3, and X4, as well as the four groups of preset working conditions L1, L2, L3, and L4 of the external heat dissipation system; select the preset working condition Li as the original working condition of the external heat dissipation system according to the difference between △X and X0; judge the relationship between △X - X0 and X1, X2, X3, X4, and select the corresponding preset working condition as the original working condition; when △X - X0 ≤ X1, select the first preset working condition L1 as the original working condition of the external heat dissipation system; when X1 < △X - X0 ≤ X2, select the second preset working condition L2 as the original working condition of the external heat dissipation system; when X2 < △X - X0 ≤ X3, select the third preset working condition L3 as the original working condition of the external heat dissipation system; when X3 < △X - X0 ≤ X4, select the fourth preset working condition L4 as the original working condition of the external heat dissipation system. This step realizes the precise control of the temperature during the electrolysis process by selecting the corresponding working conditions of the external heat dissipation system according to the change of the temperature change coefficient; selecting the appropriate working conditions of the external heat dissipation system can ensure that the temperature during the electrolysis process fluctuates within the set range, improving production stability and product quality; this method intelligently selects the working conditions of the external heat dissipation system according to the real-time temperature change situation, making the temperature control more automated and precise, improving production efficiency and saving energy costs. In summary, by selecting the working conditions of the external heat dissipation system according to the relationship between the temperature change coefficient and the preset conditions, the effective control of the temperature during the electrolysis process can be achieved, improving production efficiency and product quality.

[0062] In an embodiment of the present application, an intelligent temperature control method for the electrolysis of aluminum-silicon alloy is provided. The method includes obtaining monitoring data of the silicon content in the alloy mother liquor in the eutectoid tank, and comprehensively analyzing the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the change in silicon content on the temperature of the alloy mother liquor, including: obtaining the monitoring data of the silicon content in the alloy mother liquor in the eutectoid tank, and determining the temperature monitoring data of the alloy mother liquor in the eutectoid tank; respectively constructing a silicon content change curve and a temperature change curve of the time progress based on the silicon content monitoring data and the temperature monitoring data, and determining the silicon content change stage in the silicon content change curve; determining the silicon content change amount in each silicon content change stage, and calculating the temperature change amount in the temperature change curve corresponding to each silicon content change stage; calculating the ratio of the silicon content change amount in each silicon content change stage to the temperature change amount in the temperature change curve corresponding to each silicon content change stage to obtain the change amount ratio corresponding to each silicon content change stage, and determining the time length corresponding to each silicon content change stage; determining the influence value of the change in silicon content on the temperature of the alloy mother liquor based on the change amount ratio and the time length corresponding to each silicon content change stage, and determining the influence coefficient of the change in silicon content on the temperature of the alloy mother liquor based on the influence value of the change in silicon content on the temperature of the alloy mother liquor. The calculation formula for the influence value of the change in silicon content on the temperature of the alloy mother liquor is:

[0063] ,

[0064] where S is the influence value of the change in silicon content on the temperature of the alloy mother liquor, f is a preset conversion coefficient, Pi is the change amount ratio corresponding to the i-th silicon content change stage, Ti is the time length corresponding to the i-th silicon content change stage, and n is the number of silicon content change stages.

[0065] Specifically, monitor the silicon content monitoring data and temperature monitoring data in the eutectoid tank of the alloy mother liquor. Based on these data, construct the silicon content change curve and temperature change curve of the time progress respectively; determine different silicon content change stages in the silicon content change curve, calculate the silicon content change amount in each stage, and determine the temperature change amount in the temperature change curve corresponding to each silicon content change stage; calculate the ratio of the silicon content change amount to the temperature change amount in each silicon content change stage to obtain the change amount ratio corresponding to each silicon content change stage; determine the time length corresponding to each silicon content change stage to calculate the influence value; calculate the influence value of the silicon content change on the temperature of the alloy mother liquor based on the change amount ratio and time length corresponding to each silicon content change stage. This step can better understand the relationship between the silicon content and temperature in the alloy mother liquor in the eutectoid tank through the monitoring and analysis of the silicon content change and temperature change; calculating the influence coefficient of the silicon content change on the temperature of the alloy mother liquor can help optimize the temperature control strategy in the production process, improve production efficiency and product quality; the calculation and analysis of the influence value of the silicon content change on the temperature of the alloy mother liquor contribute to predicting and adjusting the temperature change in the production process, thereby reducing energy consumption and increasing production efficiency. In summary, by monitoring and analyzing the silicon content and temperature data, and calculating the influence coefficient of the silicon content change on the temperature of the alloy mother liquor, the temperature control in the production process can be optimized, production efficiency and product quality can be improved, and energy consumption can be reduced.

[0066] In an embodiment of the present application, an intelligent temperature control method for the electrolytic aluminum-silicon alloy process is provided. Determining the influence coefficient of the silicon content change on the temperature of the alloy mother liquor based on the influence value of the silicon content change on the temperature of the alloy mother liquor includes: presetting the corresponding relationship between the influence coefficient - influence value interval, where for each influence value interval in the corresponding relationship between the influence coefficient - influence value interval, a corresponding influence coefficient is associated; obtaining the influence value of the silicon content change on the temperature of the alloy mother liquor, and selecting the influence coefficient corresponding to the influence value interval as the corresponding influence coefficient based on the mapping relationship of the influence value interval in the corresponding relationship between the influence coefficient - influence value interval.

[0067] Specifically, a set of corresponding relationships between influence coefficients and influence value intervals are preset, that is, for each influence value interval, the corresponding influence coefficient is determined; the influence value of the change in silicon content on the temperature of the alloy mother liquor is obtained, that is, it is determined how the change in silicon content will affect the temperature of the alloy mother liquor; based on the influence value interval to which the influence value belongs, the corresponding influence coefficient is found within the corresponding relationship between influence coefficients and influence value intervals; according to the influence value obtained from the change in silicon content, it is mapped to the corresponding influence coefficient for subsequent processing and control. This step realizes the quantification and standardization of the influence value by mapping the influence value of the change in silicon content on the temperature of the alloy mother liquor to the influence coefficient, improving the accuracy and operability of data processing; based on the mapping relationship between the influence value interval and the influence coefficient, the corresponding influence coefficient can be quickly determined according to the specific change in silicon content, providing a scientific basis for subsequent temperature control and adjustment; this method quantifies the influence of the change in silicon content on the temperature of the alloy mother liquor and converts it into an operable influence coefficient, which helps to precisely control the temperature of the alloy mother liquor and improve the stability and quality of alloy production. In summary, by mapping the influence value of the change in silicon content on the temperature of the alloy mother liquor to the influence coefficient, the standardization of the influence value can be realized, providing more accurate data support for temperature control in the alloy production process, thereby improving production efficiency and product quality. The application of this mapping relationship between influence values and influence coefficients brings higher scientificity and operability to data processing and control in industrial production processes.

[0068] In an embodiment of the present application, an intelligent temperature control method for the electrolytic aluminum-silicon alloy process is provided. Adjusting the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor in the electrolytic aluminum-silicon alloy process includes: obtaining the influence coefficient mi, and adjusting the original working conditions Li(ai, bi) of the external heat dissipation system according to the influence coefficient mi to obtain Li(ai*mi, bi*mi), and controlling the external heat dissipation system to perform intelligent temperature control on the electrolytic aluminum-silicon alloy process according to the adjusted working conditions Li(ai*mi, bi*mi).

[0069] Specifically, the influence coefficient mi is obtained. According to the influence coefficient mi, the original working conditions Li(ai, bi) of the external heat dissipation system are adjusted to obtain new working conditions Li(ai*mi, bi*mi). By multiplying the influence coefficient mi, the parameters in the original working conditions can be adjusted, enabling the external heat dissipation system to more effectively control the temperature change during the electrolysis of aluminum-silicon alloy. The adjusted working conditions Li(ai*mi, bi*mi) are used to control the external heat dissipation system to achieve intelligent temperature control during the electrolysis of aluminum-silicon alloy. The external heat dissipation system adjusts the temperature according to the new working conditions to ensure that the temperature during the alloy production process remains within the set range, thereby ensuring the stability of production and product quality. By adjusting the working conditions according to the influence coefficient in this step, fine adjustment of temperature control can be carried out according to the influence degree of different factors, improving the accuracy and efficiency of control. Intelligent temperature control is achieved, enabling the external heat dissipation system to automatically adjust the working conditions according to real-time situations, improving the automation level and stability of the production process. By adjusting the working conditions through the influence coefficient, the temperature control strategy can be dynamically optimized according to specific situations, improving production efficiency, saving energy, and ensuring product quality. In summary, adjusting the working conditions of the external heat dissipation system according to the influence coefficient to achieve intelligent temperature control during the electrolysis of aluminum-silicon alloy can improve the automation level, production efficiency, and product quality of the production process, while saving energy costs and reducing human intervention, bringing more technical advantages and economic benefits to industrial production.

[0070] As Figure 2 shown, in the embodiment of the present application, an intelligent temperature control system for the electrolysis process of aluminum-silicon alloy is provided, including: an acquisition module for acquiring the temperature monitoring data of the alloy mother liquor in the eutectic cell during the electrolysis process and analyzing the temperature monitoring data to determine the temperature change characteristics; a setting module for determining the temperature change coefficient of the electrolysis process based on the temperature change characteristics and setting the original working conditions of the external heat dissipation system according to the temperature change coefficient; a determination module for acquiring the silicon content monitoring data of the alloy mother liquor in the eutectic cell and comprehensively analyzing the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquor; and a regulation module for adjusting the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor during the electrolysis process of aluminum-silicon alloy.

[0071] In summary, the embodiments of the present invention provide an intelligent temperature control method and system for the electrolysis of aluminum-silicon alloy, which include: acquiring and analyzing the temperature monitoring data of the alloy mother liquor in the eutectic cell during the electrolysis process to determine the temperature change characteristics; determining the temperature change coefficient of the electrolysis process based on the temperature change characteristics, and setting the original working conditions of the external heat dissipation system according to it; acquiring the monitoring data of the silicon content in the alloy mother liquor in the eutectic cell, and comprehensively analyzing the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquor; adjusting the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquor during the electrolysis of aluminum-silicon alloy. By accurately monitoring the silicon content, the present invention can ensure that the alloy mother liquor is within a suitable working temperature range, thereby guaranteeing the quality and stability of alloy production, helping to improve the efficiency of the aluminum-silicon alloy electrolysis production process, and reducing energy consumption and production costs at the same time.

[0072] Finally, it should be noted that: Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

[0073] The above is only one embodiment of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the protection scope of the present invention and being restricted. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working process and related descriptions of the above-described platform can refer to the corresponding process in the foregoing platform embodiments, and will not be repeated here.

[0074] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, so that a process, platform, article or device / platform including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or also includes elements inherent in these processes, platforms, articles or devices / platforms.

[0075] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0076] The above is only the preferred embodiment of the present invention, and is not used to limit the protection scope of the present invention.

Claims

1. An intelligent temperature control method for electrolytic aluminum-silicon alloy process, characterized in that: include: Obtain the temperature monitoring data of the alloy mother liquid in the eutectoid tank during the electrolysis process, and analyze the temperature monitoring data to determine the temperature change characteristics; Determine the temperature variation coefficient of the electrolysis process based on the temperature variation characteristics, and set the original working conditions of the external heat dissipation system according to the temperature variation coefficient; Obtain the monitoring data of silicon content in the alloy mother liquid in the eutectoid tank, and conduct a comprehensive analysis of the temperature monitoring data and silicon content monitoring data to determine the influence coefficient of silicon content change on the temperature of the alloy mother liquid; The original working conditions of the external heat dissipation system are adjusted according to the influence coefficient to control the temperature of the alloy mother liquid during the electrolysis of aluminum-silicon alloy.

2. The intelligent temperature control method for electrolytic aluminum-silicon alloy process according to claim 1, characterized in that: The step of obtaining temperature monitoring data during the electrolysis process and analyzing the temperature monitoring data to determine temperature variation characteristics includes: Acquire temperature monitoring data during the electrolysis of aluminum-silicon alloy, and construct a time-dependent temperature change curve based on the temperature monitoring data; Calculate the slope values ​​of the line segments between adjacent monitoring time nodes in chronological order, and calculate the data differences between adjacent monitoring time nodes; The slope value of the line segment between adjacent monitoring time nodes and the data difference between adjacent monitoring time nodes are used as temperature change characteristics.

3. The intelligent temperature control method for electrolytic aluminum-silicon alloy process according to claim 2 is characterized in that: Determining the temperature variation coefficient of the electrolysis process based on the temperature variation characteristics includes: Determine the slope value of the line segment between adjacent monitoring time nodes and the data difference value of the adjacent monitoring time nodes, and calculate the average value of the slope value of the line segment between all adjacent monitoring time nodes to obtain a first mean value, and calculate the average value of the data difference value of all adjacent monitoring time nodes to obtain a second mean value; The first mean and the second mean are evaluated and valued respectively, and the first mean evaluation value and the second mean evaluation value are obtained respectively, and the temperature variation coefficient of the electrolysis process is determined based on the first mean evaluation value and the second mean evaluation value, wherein the calculation formula of the temperature variation coefficient of the electrolysis process is: K=α*M+β*N, Among them, K is the influence value, α is the first preset weight, M is the first mean evaluation value, β is the second preset weight, and N is the second mean evaluation value.

4. The intelligent temperature control method for electrolytic aluminum-silicon alloy process according to claim 3 is characterized in that: The initial working condition of the external heat dissipation system is set according to the temperature variation coefficient, including: Obtain the temperature variation coefficient △X of the electrolysis process and the preset standard temperature variation coefficient X0, and determine the preset first preset difference X1, second preset difference X2, third preset difference X3 and fourth preset difference X4, and X1<X2<X3<X4; pre-set the first preset working condition L1 (a1, b1), the second preset working condition L2 (a2, b2), the third preset working condition L3 (a3, b3) and the fourth preset working condition L4 (a4, b4) of the external heat dissipation system, wherein the external heat dissipation system includes a side cooling device and a top heat exchange device, a1-a4 are respectively the first to fourth preset cooling temperatures of the side cooling device, and a1<a2<a3<a4, b1-b4 are respectively the first to fourth preset flue gas flow rates of the top heat exchange device, and b1<b2<b3<b4; According to the difference between the temperature variation coefficient △X and the preset standard temperature variation coefficient X0, the preset working condition Li is selected as the original working condition of the external heat dissipation system; When △X-X0≤X1, the first preset working condition L1 is selected as the original working condition of the external heat dissipation system; When X1<△X-X0≤X2, the second preset working condition L2 is selected as the original working condition of the external heat dissipation system; When X2<△X-X0≤X3, the third preset working condition L3 is selected as the original working condition of the external cooling system; When X3<△X-X0≤X4, the fourth preset working condition L4 is selected as the original working condition of the external heat dissipation system; The external cooling system is controlled to operate according to the selected preset original working condition Li (ai, bi) as the original working condition of the external cooling system.

5. The intelligent temperature control method for electrolytic aluminum-silicon alloy process according to claim 4, characterized in that: The step of obtaining the monitoring data of silicon content in the alloy mother liquid in the eutectoid tank, and performing a comprehensive analysis on the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the change of silicon content on the temperature of the alloy mother liquid includes: Obtaining monitoring data of silicon content in alloy mother liquid in the eutectoid tank, and determining temperature monitoring data of alloy mother liquid in the eutectoid tank; Based on the silicon content monitoring data and the temperature monitoring data, respectively construct a silicon content change curve and a temperature change curve of the time progress, and determine the silicon content change stage in the silicon content change curve; Determine the silicon content change amount in each silicon content change stage, and calculate the temperature change amount in the temperature change curve corresponding to each silicon content change stage; Calculate the ratio of the silicon content change amount in each silicon content change stage to the temperature change amount in the temperature change curve corresponding to each silicon content change stage, obtain the change amount ratio corresponding to each silicon content change stage, and determine the time length corresponding to each silicon content change stage; The influence value of the silicon content change on the alloy mother liquid temperature is determined based on the change ratio and time length corresponding to each silicon content change stage, and the influence coefficient of the silicon content change on the alloy mother liquid temperature is determined based on the influence value of the silicon content change on the alloy mother liquid temperature, wherein the calculation formula for the influence value of the silicon content change on the alloy mother liquid temperature is: ， Among them, S is the impact value of the change in silicon content on the alloy mother liquid temperature, f is the preset conversion coefficient, Pi is the change ratio corresponding to the i-th silicon content change stage, Ti is the time length corresponding to the i-th silicon content change stage, and n is the number of silicon content change stages.

6. The intelligent temperature control method for electrolytic aluminum-silicon alloy process according to claim 5, characterized in that: The determining of the influence coefficient of the change in silicon content on the temperature of the alloy mother liquid based on the influence value of the change in silicon content on the temperature of the alloy mother liquid comprises: Presetting a corresponding relationship between an influence coefficient and an influence value interval, wherein the corresponding relationship between an influence coefficient and an influence value interval is associated with a corresponding influence coefficient for each influence value interval; The influence value of the change in silicon content on the alloy mother liquid temperature is obtained, and based on the mapping relationship between the influence value interval to which the influence value belongs and the influence coefficient-influence value interval correspondence relationship, the influence coefficient corresponding to the influence value interval is selected as the corresponding influence coefficient.

7. The intelligent temperature control method for electrolytic aluminum-silicon alloy process according to claim 5, characterized in that: The method of adjusting the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother solution during the electrolysis of aluminum-silicon alloy includes: Obtain the influence coefficient mi, and adjust the original working condition Li (ai, bi) of the external heat dissipation system according to the influence coefficient mi to obtain Li (ai*mi, bi*mi), and control the external heat dissipation system according to the adjusted working condition Li (ai*mi, bi*mi) to perform intelligent temperature control on the electrolytic aluminum-silicon alloy process.

8. An intelligent temperature control system for electrolytic aluminum-silicon alloy process, characterized in that: include: An acquisition module is used to acquire the temperature monitoring data of the alloy mother liquid in the eutectoid tank during the electrolysis process, and analyze the temperature monitoring data to determine the temperature change characteristics; A setting module, used to determine the temperature variation coefficient of the electrolysis process based on the temperature variation characteristics, and to set the original working conditions of the external heat dissipation system according to the temperature variation coefficient; A determination module is used to obtain the monitoring data of silicon content in the alloy mother liquid in the eutectoid tank, and to conduct a comprehensive analysis of the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the change of silicon content on the temperature of the alloy mother liquid; The control module is used to adjust the original working conditions of the external heat dissipation system according to the influence coefficient to control the temperature of the alloy mother liquid in the process of electrolyzing aluminum-silicon alloy.

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