Intelligent temperature control method and system for electrolytic aluminum silicon alloy process

Abstract

The intelligent temperature control method comprises the following steps: acquiring and analyzing temperature monitoring data of alloy mother liquor in an eutectoid tank in an electrolysis process, and determining temperature change characteristics; determining a temperature change coefficient of the electrolysis process based on the temperature change characteristics, and setting original working conditions of an external heat dissipation system according to the temperature change coefficient; obtaining silicon content monitoring data in the alloy mother liquor in the eutectoid tank, comprehensively analyzing the temperature monitoring data and the silicon content monitoring data, and determining an influence coefficient of silicon content change on the temperature of the alloy mother liquor; and adjusting the original working conditions of the external heat dissipation system according to the influence coefficient so as to control the temperature of the alloy mother liquor in the electrolytic aluminum silicon alloy process. By accurately monitoring the silicon content, the alloy mother liquor can be ensured to be in a proper working temperature range, so that the quality and the stability of alloy production are ensured, the efficiency of the electrolytic aluminum silicon alloy production process is favorably improved, and the energy consumption and the production cost are reduced.

Description

Technical Field

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

[0002] Aluminum-silicon alloy is a key alloy material used in a variety of industrial fields, such as aerospace, automobile manufacturing and construction. In the production process, the temperature of the alloy mother liquid is a crucial parameter that directly affects the quality and performance of the alloy. The temperature of the electrolytic eutectoid 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, causing changes in the system engineering principles. Among them, as the silicon content increases, the unit product energy consumption decreases, and the electrolytic current efficiency decreases, causing the temperature of the eutectoid tank to rise. At this time, the heat needs to be dissipated in time, otherwise the furnace side will melt, and in severe cases, the tank will even leak.

[0003] However, traditional temperature control methods cannot adapt to the above changes. There are problems such as untimely adjustment and low precision. It is difficult to control the temperature of electrolytic eutectic, resulting in low current efficiency, reduced product quality, increased energy consumption and production costs, and unable to meet normal production needs. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an intelligent temperature control method and system for an electrolytic aluminum-silicon alloy process, comprising: 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.

[0005] Furthermore, the obtaining of temperature monitoring data during the electrolysis process and analyzing the temperature monitoring data to determine the temperature change characteristics include: 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.

[0006] Further, the determining of 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.

[0007] Furthermore, the setting of the original working condition of the external heat dissipation system according to the temperature variation coefficient includes: 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 cooling 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.

[0008] Further, the obtaining of the silicon content monitoring data in the alloy mother liquid in the eutectoid tank, and the comprehensive analysis of the temperature monitoring data and the silicon content monitoring data to determine the influence coefficient of the silicon content change on the alloy mother liquid temperature 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.

[0009] Further, the determining of the influence coefficient of the silicon content change on the alloy mother liquid temperature based on the influence value of the silicon content change on the alloy mother liquid temperature includes: 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.

[0010] Furthermore, 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 solution during the electrolysis of aluminum-silicon alloy, including: 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.

[0011] The present invention also provides an intelligent temperature control system for an electrolytic aluminum-silicon alloy process, comprising: 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.

[0012] Compared with the prior art, the intelligent temperature control method and system for electrolytic aluminum-silicon alloy process of the embodiment of the present invention has the following beneficial effects: The present invention accurately monitors the silicon content, analyzes the effect of changes in silicon content on temperature, adjusts the temperature of the electrolysis process according to the analysis results, and ensures that the alloy mother liquor is within a suitable operating temperature range, thereby ensuring the quality and stability of alloy production, helping to improve the efficiency of the electrolytic aluminum-silicon alloy production process, while reducing energy consumption and production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 1 is a schematic diagram of the process structure of an intelligent temperature control method for an electrolytic aluminum-silicon alloy process according to an embodiment of the present invention; Figure 2 It is a schematic diagram of the composition of the intelligent temperature control system for the electrolytic aluminum-silicon alloy process in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0015] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0016] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying a relative importance coefficient or implicitly indicating the number of the indicated technical features. Therefore, a feature defined with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "multiple" means two or more.

[0017] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technical personnel in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0018] like Figure 1 As shown, in an embodiment of the present application, an intelligent temperature control method for an electrolytic aluminum-silicon alloy process is provided, including: S100: obtaining temperature monitoring data of an alloy mother liquor in a eutectic tank during the electrolysis process, and analyzing the temperature monitoring data to determine temperature change characteristics; S200: determining a temperature change coefficient of the electrolysis process based on the temperature change characteristics, and setting original working conditions of an external heat dissipation system according to the temperature change coefficient; S300: obtaining monitoring data of the silicon content in the alloy mother liquor in the eutectic tank, 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; S400: 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.

[0019] Furthermore, the present invention accurately monitors the silicon content, analyzes the effect of changes in silicon content on temperature, adjusts the temperature of the electrolysis process according to the analysis results, and ensures that the alloy mother liquor is within a suitable operating temperature range, thereby ensuring the quality and stability of alloy production, helping to improve the efficiency of the electrolytic aluminum-silicon alloy production process, while reducing energy consumption and production costs.

[0020] In an embodiment of the present application, an intelligent temperature control method for an electrolytic aluminum-silicon alloy process is provided, wherein temperature monitoring data during the electrolysis process is obtained, and the temperature monitoring data is analyzed to determine temperature change characteristics, including: obtaining temperature monitoring data during the electrolysis process of the aluminum-silicon alloy, and constructing a time-progress temperature change curve based on the temperature monitoring data; calculating the slope values ​​of line segments between adjacent monitoring time nodes in chronological order, and calculating the data difference between adjacent monitoring time nodes; and using the slope values ​​of line segments between adjacent monitoring time nodes and the data difference between adjacent monitoring time nodes as temperature change characteristics.

[0021] Specifically, a temperature sensor is installed to obtain the temperature of the alloy mother liquid in the eutectoid tank, and the temperature monitoring data is arranged in chronological order to form a time series, and a temperature change curve of the time progress is drawn; on the temperature change curve of the time progress, the rate of temperature change can be obtained by calculating the slope value of the line segment between adjacent monitoring time nodes, and at the same time, the data difference between adjacent monitoring time nodes is calculated, that is, the change in temperature, where the slope value represents the rate of temperature change, the positive slope represents the temperature rise, the negative slope represents the temperature drop, the absolute value of the slope represents the speed of change, and the data difference represents the temperature change between adjacent time nodes, which can help understand the amplitude of temperature change. This step can more intuitively understand the characteristics and trends of temperature change by analyzing the slope value and data difference of the temperature change curve; further analysis of these characteristics can help optimize the temperature control strategy in the production process, improve production efficiency and product quality; by real-time monitoring and analysis of temperature change characteristics, the temperature control system can be adjusted in time to ensure the stability and controllability of temperature in the alloy production process. In summary, by calculating and analyzing the slope and data difference of the temperature monitoring data during the electrolysis process of aluminum-silicon alloy, we can better understand the temperature change characteristics, thereby achieving more precise temperature control and optimizing production efficiency, improving the intelligence level of the production process, reducing production costs and energy consumption, and ensuring product quality and production stability.

[0022] In an embodiment of the present application, an intelligent temperature control method for an electrolytic aluminum-silicon alloy process is provided, wherein the temperature variation coefficient of the electrolytic process is determined based on the temperature variation characteristics, including: determining the slope value of a 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 a first mean value, and calculating the average value of the data difference between all adjacent monitoring time nodes to obtain a second mean value; evaluating and valuing the first mean value and the second mean value respectively, obtaining a first mean evaluation value and a second mean evaluation value respectively, and determining the temperature variation coefficient of the electrolytic process based on the first mean evaluation value and the second mean evaluation value, wherein the calculation formula for the temperature variation coefficient of the electrolytic 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.

[0023] Specifically, the slope values ​​of the line segments between all adjacent monitoring time nodes are obtained, and then the average values ​​of these slope values ​​are calculated to obtain the first mean value. Then, the data differences of all adjacent monitoring time nodes are obtained, and then the average values ​​of these data differences are calculated to obtain the second mean value; the first mean value and the second mean value are evaluated and taken, and the evaluation value can reflect the rate and amplitude of temperature change; based on the first mean evaluation value and the second mean evaluation value, the temperature variation coefficient of the electrolysis process is determined, and this coefficient can reflect the degree of influence of temperature change on the electrolysis process. This step can more comprehensively understand the trend and characteristics of temperature change by calculating and evaluating the average value of temperature change characteristics, which helps to formulate more accurate control strategies; it can help production enterprises better understand and control temperature changes in the electrolysis process, thereby optimizing the production process, reducing production costs, and ensuring product quality and production efficiency. In summary, by calculating the average value of the slope value and the data difference, and determining the temperature variation coefficient of the electrolysis process based on these average values, it can help enterprises better understand and control temperature changes in the electrolysis process, thereby optimizing the production process, improving production efficiency, reducing costs, and ensuring product quality.

[0024] In an embodiment of the present application, an intelligent temperature control method for an electrolytic aluminum-silicon alloy process is provided, wherein the original working condition of an external heat dissipation system is set according to the temperature variation coefficient, including: obtaining the temperature variation coefficient △X of the electrolysis process and a preset standard temperature variation coefficient X0, and determining a preset first preset difference X1, a second preset difference X2, a third preset difference X3 and a fourth preset difference X4, and X1<X2<X3<X4; presetting a first preset working condition L1 (a1, b1), a second preset working condition L2 (a2, b2), a third preset working condition L3 (a3, b3) and a 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 the first to fourth preset cooling temperatures of the side cooling device, and a1<a2<a3<a4, b1-b4 are the first to fourth preset cooling temperatures of the side cooling device, respectively, and a1<a2<a3<a4, b1-b4 are the first to fourth preset cooling temperatures of the side cooling device, respectively. The first to fourth preset flue gas flow rates of the top heat exchange device, 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 heat dissipation 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; according to which preset original working condition Li (ai, bi) is selected as the original working condition of the external heat dissipation system, the external heat dissipation system is controlled to operate.

[0025] Specifically, the temperature variation coefficient △X and the preset standard temperature variation coefficient X0 during the electrolysis process are obtained; the preset first to fourth preset differences X1, X2, X3 and X4, and four sets of preset working conditions L1, L2, L3 and L4 of the external heat dissipation system are determined; according to the difference between △X and X0, the preset working condition Li is selected as the original working condition of the external heat dissipation system; the relationship between △X-X0 and X1, X2, X3, X4 is judged, and the corresponding preset working condition is selected as the original working condition; 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 heat dissipation 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. This step achieves precise control of the temperature during the electrolysis process by selecting the corresponding external heat dissipation system working conditions according to the change of the temperature variation coefficient; selecting appropriate external heat dissipation system working conditions 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 changes, making 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 variation coefficient and the preset conditions, effective control of the temperature during the electrolysis process can be achieved, improving production efficiency and product quality.

[0026] In an embodiment of the present application, an intelligent temperature control method for an electrolytic aluminum-silicon alloy process is provided, wherein the silicon content monitoring data in the alloy mother liquid in the eutectoid tank is obtained, and the temperature monitoring data and the silicon content monitoring data are comprehensively analyzed to determine the influence coefficient of the silicon content change on the temperature of the alloy mother liquid, including: obtaining the silicon content monitoring data in the alloy mother liquid in the eutectoid tank, and determining the temperature monitoring data of the alloy mother liquid in the eutectoid tank; constructing a silicon content change curve and a temperature change curve of a time progress based on the silicon content monitoring data and the temperature monitoring data, respectively, 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 influence coefficient of each silicon content change stage. The invention relates to a method for determining 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, obtaining 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 silicon content change on the alloy mother liquid temperature based on the change amount ratio and time length corresponding to each silicon content change stage, and determining the influence coefficient of the silicon content change on the alloy mother liquid temperature 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.

[0027] Specifically, the silicon content monitoring data and temperature monitoring data in the alloy mother liquid in the eutectoid tank are obtained, and based on these data, the silicon content change curve and the temperature change curve of the time progress are constructed respectively; different silicon content change stages are determined in the silicon content change curve, and the silicon content change amount in each stage is calculated, and the temperature change amount in the temperature change curve corresponding to each silicon content change stage is determined; the ratio of the silicon content change amount to the temperature change amount in each silicon content change stage is calculated to obtain the change amount ratio corresponding to each silicon content change stage; the time length corresponding to each silicon content change stage is determined in order to calculate the impact value; based on the change amount ratio and time length corresponding to each silicon content change stage, the impact value of the silicon content change on the alloy mother liquid temperature is calculated. This step can better understand the relationship between the silicon content and the temperature in the alloy mother liquid in the eutectoid tank by monitoring and analyzing the silicon content change and the temperature change; calculating the influence coefficient of the silicon content change on the alloy mother liquid temperature 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 alloy mother liquid temperature can help predict and adjust the temperature change in the production process, thereby reducing energy consumption and improving production efficiency. In summary, by monitoring and analyzing silicon content and temperature data, and calculating the influence coefficient of silicon content change on alloy mother liquid temperature, the temperature control in the production process can be optimized, the production efficiency and product quality can be improved, and energy consumption can be reduced.

[0028] In an embodiment of the present application, an intelligent temperature control method for an electrolytic aluminum-silicon alloy process is provided, wherein 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, including: presetting an influence coefficient-influence value interval correspondence relationship, wherein the influence coefficient-influence value interval correspondence relationship is associated with a corresponding influence coefficient for each influence value interval; obtaining the influence value of the silicon content change on the alloy mother liquid temperature, and based on a mapping relationship between the influence value interval to which the influence value belongs within the influence coefficient-influence value interval correspondence relationship, selecting the influence coefficient corresponding to the influence value interval as the corresponding influence coefficient.

[0029] Specifically, a set of influence coefficient-influence value interval correspondences are pre-set, that is, for each influence value interval, the corresponding influence coefficient is determined; the influence value of the change in silicon content on the alloy mother liquid temperature is obtained, that is, the influence of the change in silicon content on the alloy mother liquid temperature is determined; based on the influence value interval to which the influence value belongs, the corresponding influence coefficient is found in the influence coefficient-influence value interval correspondence; according to the influence value obtained by the silicon content change, it is mapped to the corresponding influence coefficient for subsequent processing and control. This step achieves quantification and standardization of the influence value by mapping the influence value of the silicon content change on the alloy mother liquid temperature to the influence coefficient, and improves 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 silicon content change, which provides a scientific basis for subsequent temperature control and adjustment; this method quantifies the influence of the silicon content change on the alloy mother liquid temperature and converts it into an operational influence coefficient, which helps to accurately control the alloy mother liquid temperature and improve the stability and quality of alloy production. In summary, by mapping the impact value of silicon content change on alloy mother liquid temperature to the impact coefficient, the impact value can be standardized, 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 impact value and impact coefficient brings higher scientificity and operability to data processing and control in industrial production processes.

[0030] In an embodiment of the present application, an intelligent temperature control method for an electrolytic aluminum-silicon alloy process is provided, wherein the original working conditions of an external heat dissipation system are adjusted according to an influence coefficient to control the temperature of an alloy mother liquor in the electrolytic aluminum-silicon alloy process, including: 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 according to the adjusted working conditions Li (ai*mi, bi*mi) to perform intelligent temperature control on the electrolytic aluminum-silicon alloy process.

[0031] Specifically, the influence coefficient mi is obtained, and the original working condition Li(ai,bi) of the external heat dissipation system is adjusted according to the influence coefficient mi to obtain the new working condition Li(ai*mi,bi*mi), which can adjust the parameters in the original working condition by multiplying the influence coefficient mi, so that the external heat dissipation system can more effectively control the temperature change in the electrolytic aluminum-silicon alloy process; the external heat dissipation system is controlled by the adjusted working condition Li(ai*mi,bi*mi) to realize the intelligent temperature control of the electrolytic aluminum-silicon alloy process; the external heat dissipation system adjusts the temperature according to the new working condition to ensure that the temperature in the alloy production process remains within the set range, thereby ensuring the stability of production and product quality. This step can finely adjust the temperature control according to the degree of influence of different factors by adjusting the working conditions according to the influence coefficient, thereby improving the accuracy and efficiency of control; realizing intelligent temperature control, so that the external heat dissipation system can automatically adjust the working conditions according to the real-time situation, and improving the automation level and stability of the production process; adjusting the working conditions by the influence coefficient can dynamically optimize the temperature control strategy according to the specific situation, improve production efficiency, save energy and ensure product quality. In summary, adjusting the working conditions of the external heat dissipation system according to the influence coefficient to achieve intelligent temperature control of the electrolytic aluminum-silicon alloy process can improve the automation level of the production process, production efficiency and product quality, while saving energy costs and reducing human intervention, bringing more technical advantages and economic benefits to industrial production.

[0032] like Figure 2 As shown, in an embodiment of the present application, an intelligent temperature control system for an electrolytic aluminum-silicon alloy process is provided, including: an acquisition module, used to acquire temperature monitoring data of an alloy mother liquor in a eutectic tank during the electrolysis process, and analyze the temperature monitoring data to determine temperature change characteristics; a setting module, used to determine a temperature change coefficient of the electrolysis process based on the temperature change characteristics, and set the original working conditions of an external heat dissipation system according to the temperature change coefficient; a determination module, used to acquire silicon content monitoring data in 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 silicon content change on the temperature of the alloy mother liquor; a control module, 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 liquor in the electrolytic aluminum-silicon alloy process.

[0033] In summary, the embodiment of the present invention provides an intelligent temperature control method and system for the electrolytic aluminum-silicon alloy process, which includes: obtaining and analyzing the temperature monitoring data of the alloy mother liquid in the eutectoid tank 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 silicon content monitoring data in the alloy mother liquid in the eutectoid tank, 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 alloy mother liquid temperature; adjusting 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 electrolytic aluminum-silicon alloy process. The present invention can ensure that the alloy mother liquid is within a suitable operating temperature range through accurate monitoring of the silicon content, thereby ensuring the quality and stability of the alloy production, helping to improve the efficiency of the electrolytic aluminum-silicon alloy production process, and reducing energy consumption and production costs.

[0034] Finally, it should be noted that: Obviously, a person skilled in the art may 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 present invention and its equivalent technology, the present invention is also intended to include these modifications and variations.

[0035] The above is only an example of implementation 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 scope of protection of the present invention and being restricted. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0036] The term "comprises" or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that includes a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0037] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it is easy for a person skilled in the art to 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, a person 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 fall within the protection scope of the present invention.

[0038] The above description is only a preferred embodiment of the present invention and is not intended 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. An 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. An intelligent temperature control method for electrolytic aluminum-silicon alloy process according to claim 2, 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. An 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. An 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. An 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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