Method, device and equipment for determining adding amount of refining agent in furnace and medium

Abstract

The invention relates to the field of data processing, in particular to a method and device for determining the adding amount of a refining agent in a furnace, equipment and a medium. The method comprises the following steps: collecting various data (such as the addition amount of a refining agent, basic data, stirring strength and temperature in a furnace) and environment humidity in a refining process, and calculating the content of the refining agent on the basis of the basic data (granularity, surface roughness and category) of the refining agent, the stirring strength and the temperature in the furnace; the natural adhesion condition, namely the first adhesion rate, of the refining agent in the refining process can be evaluated. Furthermore, the influence of environment humidity on the adhesion condition of the refining agent is considered, the second adhesion rate is determined according to the influence, the practicability and accuracy of the method are enhanced, the adjustment amount of the refining agent is calculated by integrating the first adhesion rate and the second adhesion rate, the actual addition amount of the refining agent is determined according to the adjustment amount, and the adjustment amount is calculated. Therefore, the accuracy and rationality of the adding amount of the refining agent are ensured, and the refining effect and the product quality are improved.

Description

Technical Field

[0001] The present application relates to the field of data processing, and in particular to a method, device, equipment and medium for determining the amount of refining agent added in a furnace. Background Art

[0002] The metallurgical industry is an important part of the modern manufacturing industry. Especially in steel production, furnace refining technology is of great significance for improving product quality and reducing energy consumption. With the advancement of science and technology, the furnace refining process has been continuously optimized, and it has become an industry consensus to improve the purity and performance of metal materials by precisely controlling various parameters. The rational use of refining agents is one of the key factors to achieve this goal. Reasonable addition of refining agents can not only effectively remove impurities, but also improve the distribution of alloy components, thereby improving the quality and performance of the final product.

[0003] During the aluminum alloy smelting process, refining agents are added to the refiner. Generally, the refining agents are in powder form. Due to the temperature in the furnace and the reaction process in the furnace, some refining agents will adhere to the inner wall of the refiner, resulting in less mass of the refining agent actually participating in the reaction, resulting in insufficient refining reaction and other consequences. In actual operation, in order to ensure the effectiveness and stability of the refining process, experienced operators are usually relied on to manually adjust the amount of refining agent added. However, the method of relying on operators to manually adjust the amount of refining agent has a large error, which may result in excessive or insufficient refining agent, thus affecting the quality stability and production efficiency of the final product. Summary of the invention

[0004] In order to improve the accuracy of the quality of the refining agent added to the furnace of a refiner, the present application provides a method, a device, a equipment and a medium for determining the amount of refining agent added to the furnace.

[0005] In the first aspect, the present application provides a method for determining the amount of refining agent added in a furnace, which adopts the following technical solution: A method for determining the amount of refining agent added in a furnace, comprising: Obtaining refining information corresponding to the current refining process and the ambient humidity, wherein the refining information includes the amount of refining agent added, basic data of the refining agent, refining stirring intensity, and temperature in the refining furnace, wherein the amount of refining agent added includes the mass of the refining agent to be added at each moment during the refining process, and the basic data of the refining agent includes the particle size of the refining agent, the surface roughness of the refining agent, and the type of the refining agent; Determining a first adhesion rate of the refining agent based on the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace; Determining the degree of influence of the ambient humidity on the refining agent, and determining a second adhesion rate of the refining agent based on the degree of influence; Based on the first attachment rate and the second attachment rate, an adjustment amount corresponding to the refining agent is calculated, and based on the adjustment amount, an actual addition amount of the refining agent is determined.

[0006] By adopting the above technical solution, by collecting various data in the refining process (such as the amount of refining agent added, basic data, stirring intensity, furnace temperature) and ambient humidity, and based on the basic data of the refining agent (particle size, surface roughness, category), stirring intensity and furnace temperature, the natural adhesion of the refining agent during the refining process, that is, the first adhesion rate, can be evaluated. Further, by considering the influence of ambient humidity on the adhesion of the refining agent, and determining the second adhesion rate accordingly, the practicality and accuracy of the method are enhanced, and by combining the first adhesion rate and the second adhesion rate, the adjustment amount of the refining agent is calculated, and the actual addition amount of the refining agent is determined accordingly, thereby ensuring the accuracy and rationality of the amount of refining agent added, which helps to improve the refining effect and product quality.

[0007] In a possible implementation, determining the first adhesion rate of the refining agent based on the basic data of the refining agent, the refining stirring intensity, and the temperature in the refining furnace includes: Acquire historical refining data corresponding to the refiner, and determine the activation energy corresponding to the current refining process, wherein the historical refining data includes historical refining information and historical adhesion rate corresponding to each historical refining process; According to the form of the Arrhenius equation, a temperature model including a temperature exponential term is constructed, wherein the temperature model is used to describe the relationship between temperature and adhesion rate; The temperature model is optimized based on the historical refined data to obtain a target temperature model, wherein the target temperature model is , A is the model parameter, E is the activation energy, R is the ideal gas constant, and T is the absolute temperature corresponding to the historical temperature; A first adhesion rate of the refining agent is determined based on the target temperature model, the refining agent basic data, the refining stirring intensity, and the temperature in the refining furnace.

[0008] By adopting the above technical solution, the historical refining data corresponding to the refiner is obtained, including the historical refining information of each historical refining process (such as refining agent type, particle size, stirring intensity, etc.) and the historical adhesion rate, and in the current refining process, the corresponding activation energy is determined, and a temperature model including a temperature exponential term is constructed according to the form of the Arrhenius equation. The relationship between temperature and adhesion rate is clarified in the form of a mathematical expression, and the temperature model is optimized based on the historical refining data to obtain a target temperature model. The first adhesion rate of the refining agent is comprehensively calculated by combining the target temperature model, the basic data of the refining agent, the refining stirring intensity and the current temperature in the refining furnace, thereby achieving an accurate prediction of the adhesion of the refining agent.

[0009] In a possible implementation, determining the first adhesion rate of the refining agent based on the target temperature model, the basic data of the refining agent, the refining stirring intensity, and the temperature in the refining furnace includes: Calculating a particle size influence index corresponding to the refining agent particle size and a stirring intensity influence index corresponding to the refining stirring intensity; Substitute the target temperature model into Formula 1 to obtain Formula 2, where Formula 1 is , is the first adhesion rate, k is the comprehensive correction coefficient, S is the surface roughness of the refining agent, T is the temperature in the refining furnace, a is the temperature influence index, G is the refining agent particle size, b is the particle size influence index, I is the refining stirring intensity, c is the stirring intensity influence index, and formula 2 is ; The basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace are put into Formula 2 to calculate the first adhesion rate of the refining agent.

[0010] By adopting the above technical scheme, the particle size influence index and the stirring intensity influence index are calculated respectively according to the particle size and stirring intensity of the refining agent. On the basis of the existing formula one, by substituting the target temperature model, formula two including the comprehensive correction coefficient, temperature influence index, particle size influence index and stirring intensity influence index is obtained. The basic data of the refining agent, the stirring intensity and the temperature in the furnace are substituted into formula two, and the first adhesion rate of the refining agent is obtained by calculation, thereby realizing the accurate quantification of the adhesion behavior of the refining agent.

[0011] In a possible implementation, calculating the particle size influence index corresponding to the refining agent particle size and the stirring intensity influence index corresponding to the refining stirring intensity includes: Filter out first historical sub-data satisfying a first preset condition and second historical sub-data satisfying a second preset condition from the historical refining data to obtain a first historical sequence and a second historical sequence, wherein the first preset condition is that the characteristic value corresponding to any first characteristic in the first target characteristic is the same in each corresponding historical refining process, and the first characteristic is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the intensity of historical refining stirring, and the temperature in the historical refining furnace, and the second preset condition is that the characteristic value corresponding to any second characteristic in the second target characteristic is the same in each corresponding historical refining process, and the second characteristic is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the particle size of historical refining agent, and the temperature in the historical refining furnace; Establishing a first curve corresponding to the first historical sequence and a second curve corresponding to the second historical sequence; Based on the first curve and the second curve, a particle size influence index corresponding to the refining agent particle size and a stirring intensity influence index corresponding to the refining stirring intensity are determined.

[0012] By adopting the above technical solution, by setting the first preset condition and the second preset condition, a data subset that meets the specific conditions is screened out from the historical refining data, and the first historical sequence and the second historical sequence are constructed respectively, so that the characteristic values ​​in each sequence remain consistent, thereby facilitating the observation and analysis of the influence of particle size and stirring intensity on the adhesion behavior of the refining agent. The first curve and the second curve are constructed using the screened data, and based on the drawn first curve and the second curve, the particle size influence index corresponding to the refining agent particle size and the stirring intensity influence index corresponding to the refining stirring intensity are determined, thereby accurately quantifying the influence of particle size and stirring intensity on the adhesion behavior of the refining agent.

[0013] In a possible implementation, the historical refining data includes historical environmental humidity, and determining the degree of influence of the environmental humidity on the refining agent includes: Performing time domain analysis and frequency domain analysis on the historical refining data to obtain a humidity time domain function relationship and a frequency domain characteristic vector matrix corresponding to the refining agent; Based on the humidity time domain function relationship, predicting a first change curve corresponding to the current refining process, wherein the first change curve is a time change curve of the ambient humidity; Inputting the frequency domain eigenvector matrix and the refining agent basic data into a cyclic network model, and obtaining a second change curve output by the cyclic network model, wherein the second change curve is a curve of influence degree changing with environmental humidity; Based on the first change curve and the second change curve, the degree of influence of the ambient humidity on the refining agent is determined.

[0014] By adopting the above technical solution, through in-depth analysis of the time characteristics and frequency characteristics of the data, the historical refining data is analyzed in the time domain and frequency domain, and the humidity time domain function relationship and frequency domain characteristic vector matrix corresponding to the refining agent are obtained. Based on the humidity time domain function relationship, the first change curve corresponding to the current refining process, that is, the curve of the change of ambient humidity over time, is predicted. Then, by introducing an advanced machine learning model, the frequency domain characteristic vector matrix and the basic data of the refining agent are input into the cyclic network model, and the second change curve output by the model is obtained, that is, the curve of the influence degree changing with the ambient humidity. Based on the first change curve and the second change curve, the influence degree of ambient humidity on the refining agent is determined, which provides strong data support for the optimization of the refining process.

[0015] In a possible implementation, determining the second adhesion rate of the refining agent based on the influence degree includes: Determine the historical impact degree corresponding to the ambient humidity in each historical refining process based on the second variation curve, and calculate the historical first adhesion rate corresponding to each historical refining process; Determining an influence coefficient corresponding to the influence degree based on the historical first attachment rate in each historical refining process, the historical attachment rate, and the historical influence degree; Based on the influence coefficient and the influence degree, a second adhesion rate of the refining agent is determined.

[0016] By adopting the above technical solution, the historical influence degree corresponding to the ambient humidity in each historical refining process is determined based on the second change curve (i.e., the curve of the influence degree changing with the ambient humidity). At the same time, the historical first attachment rate corresponding to each historical refining process is calculated. Based on the historical first attachment rate, historical attachment rate, and historical influence degree in each historical refining process, a quantitative relationship between the influence degree and the attachment rate, i.e., the influence coefficient, is established through methods such as data fitting or regression analysis, and the second attachment rate of the refining agent is determined based on the influence coefficient and the influence degree.

[0017] In a possible implementation, calculating the adjustment amount corresponding to the refining agent based on the first attachment rate and the second attachment rate includes: Based on the addition amount, the reaction process, diffusion process and adhesion process of the refining agent are analyzed respectively, and the reaction rate coefficient, diffusion coefficient and proportional coefficient corresponding to the refining agent are calculated, and a physical model corresponding to the refining agent is established; Determining a proportionality coefficient based on the physical model, wherein the proportionality coefficient is used to correct the difference between the actual adhesion of the refining agent during the refining process and the result calculated based solely on the adhesion rate; Substitute the mass of the refining agent to be added at each moment, the first adhesion rate, and the second adhesion rate into Formula 3 to obtain the corresponding adjustment amount of the refining agent. Formula 3 is: , is the adjustment amount, is the quality of refining agent, is the first attachment rate, is the second adhesion rate, k is the proportionality coefficient, and t is the time for adding the refining agent.

[0018] By adopting the above technical solution, the reaction process, diffusion process and adhesion process are deeply analyzed, and the reaction rate coefficient, diffusion coefficient and proportional coefficient are calculated accordingly. The proportional coefficient is determined by using the physical model, so as to correct the gap between the actual adhesion of the refining agent in the refining process and the calculation result based on the adhesion rate alone, and effectively improve the accuracy and reliability of the calculation result. The solution substitutes the mass of the refining agent to be added at each moment, the first adhesion rate and the second adhesion rate into Formula 3, and calculates the corresponding adjustment amount of the refining agent.

[0019] In a second aspect, the present application provides a device for determining the amount of refining agent added in a furnace, which adopts the following technical solution: A device for determining the amount of refining agent added in a furnace, comprising: An acquisition module is used to acquire the refining information corresponding to the current refining process and the ambient humidity. The refining information includes the amount of refining agent added, basic data of the refining agent, refining stirring intensity and temperature in the refining furnace. The amount of refining agent added includes the mass of the refining agent to be added at each moment during the refining process. The basic data of the refining agent includes the particle size of the refining agent, the surface roughness of the refining agent and the type of the refining agent. A first determination module, configured to determine a first adhesion rate of the refining agent based on the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace; A second determination module is used to determine the influence degree of the environmental humidity on the refining agent, and determine a second adhesion rate of the refining agent based on the influence degree; A calculation module is used to calculate an adjustment amount corresponding to the refining agent based on the first attachment rate and the second attachment rate, and determine an actual addition amount of the refining agent based on the adjustment amount.

[0020] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the method for determining the amount of refining agent added in the furnace as described in the first aspect above.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the method for determining the amount of refining agent added in the furnace described in the first aspect.

[0022] In summary, this application includes the following beneficial technical effects: By collecting various data during the refining process (such as the amount of refining agent added, basic data, stirring intensity, furnace temperature) and ambient humidity, and based on the basic data of the refining agent (particle size, surface roughness, category), stirring intensity and furnace temperature, the natural adhesion of the refining agent during the refining process, that is, the first adhesion rate, can be evaluated. Furthermore, by considering the influence of ambient humidity on the adhesion of the refining agent and determining the second adhesion rate accordingly, the practicality and accuracy of the method are enhanced. By combining the first adhesion rate and the second adhesion rate, the adjustment amount of the refining agent is calculated, and the actual addition amount of the refining agent is determined accordingly, thereby ensuring the accuracy and rationality of the amount of refining agent added, which helps to improve the refining effect and product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of a method for determining the amount of refining agent added in a furnace provided in an embodiment of the present application; Figure 2 It is a block diagram of a device for determining the amount of refining agent added in a furnace provided in an embodiment of the present application; Figure 3 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The following is combined with Figure 1 -Attached Figure 3 This application is described in further detail.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0028] The present application embodiment provides a method for determining the amount of refining agent added in a furnace, such as Figure 1 As shown, the method provided in the embodiment of the present application is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. The method includes steps S101 to S104, wherein: Step S101, obtaining refining information corresponding to the current refining process and obtaining ambient humidity.

[0029] Among them, the refining information includes the amount of refining agent added, the basic data of the refining agent, the refining stirring intensity and the temperature inside the refining furnace. The amount of addition includes the mass of the refining agent to be added at each moment during the refining process. The basic data of the refining agent includes the particle size of the refining agent, the surface roughness of the refining agent and the type of the refining agent. In the refining process, in order to ensure the refining quality and improve production efficiency, a refining plan corresponding to this refining process is generally formulated before the start of refining. The refining plan includes the refining agent required for the refining process, the mass of the refining agent to be added at each moment, the stirring intensity inside the refiner at each moment, and the temperature to be reached inside the refiner at each moment, and the refining plan is stored in the database corresponding to the refiner.

[0030] Specifically, the electronic device is connected to the refiner to read the content in the database corresponding to the refiner in real time. More specifically, the refining plan corresponding to the current refining process is obtained from the database corresponding to the refiner, and the amount of refining agent added, the refining stirring intensity and the temperature in the refining furnace are obtained from the refining plan, and the refining agent required for the current refining process is obtained from the database corresponding to the refiner, and the basic refining agent data corresponding to the refining agent is obtained from the database corresponding to the refiner. Among them, the operator can use a laser particle size analyzer to measure the refining agent particle size of each refining agent and upload it to the database. Similarly, the operator can use a surface roughness measuring instrument to measure the surface roughness of the refining agent and upload it to the database.

[0031] More specifically, the temperature in the refining furnace can also be collected in real time by a temperature sensor such as a thermocouple installed in the furnace and transmitted to the electronic device. The ambient humidity can be obtained by a humidity sensor installed in the refining workshop, and the sensor transmits the humidity data to the electronic device in real time. The electronic device receives the temperature in the refining furnace and the ambient humidity data. It is worth noting that the method for obtaining the temperature in the refining furnace can adopt any of the above methods, and the embodiments of the present application are not limited to this.

[0032] Step S102: determining a first adhesion rate of the refining agent based on basic data of the refining agent, refining stirring intensity, and temperature in the refining furnace.

[0033] The first adhesion rate is the proportion of the refining agent attached to the surface of the material in the furnace, which is determined based on factors such as the refining agent's own characteristics, stirring intensity, and furnace temperature, and reflects the degree of refining agent adhesion under normal conditions.

[0034] In this embodiment, based on the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace, the first adhesion rate of the refining agent is determined, including: obtaining historical refining data corresponding to the refiner, and determining the activation energy corresponding to the current refining process, the historical refining data including historical refining information and historical adhesion rates corresponding to each historical refining process; constructing a temperature model including a temperature exponential term according to the form of the Arrhenius equation, the temperature model is used to describe the relationship between temperature and adhesion rate; optimizing the temperature model based on the historical refining data to obtain a target temperature model, wherein the target temperature model is , A is the model parameter, E is the activation energy, R is the ideal gas constant, and T is the absolute temperature corresponding to the historical temperature; based on the target temperature model, the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace, the first adhesion rate of the refining agent is determined.

[0035] The refining data corresponding to each refining process of the refiner are recorded in the database. For the historical adhesion rate corresponding to each historical refining process, the weighed mass of the refiner attachments before and after the refining is completed can be obtained from the database corresponding to the refiner, and the difference between the two weighed masses can be calculated to obtain the initial mass corresponding to the refining agent before the start of refining, and the difference can be divided by the initial mass to obtain the historical adhesion rate.

[0036] Furthermore, the electronic device obtains the historical refining data corresponding to the refiner from the database corresponding to the refiner, and obtains the activation energy corresponding to the refining agent from the activation energy database; if no completely consistent data is matched, the activation energy of the current refining process can be predicted based on the existing data by using an interpolation method or a machine learning algorithm (such as a neural network). Specifically, when no completely consistent data is matched in the activation energy database, samples with similar components to the current refining agent can be obtained from the activation energy database, and the sample activation energy corresponding to each sample can be obtained, and the characteristic values ​​corresponding to each sample and the current refining agent (either the particle size of the refining agent or the surface roughness of the refining agent) can be obtained, and the activation energy of the current refining process can be calculated by using the linear interpolation formula: the activation energy in the current refining process = the activation energy of the first sample + (the characteristic value corresponding to the current refining agent - the characteristic value of the first sample) / (the characteristic value of the second sample - the characteristic value of the first sample) * (the activation energy of the second sample - the activation energy of the first sample). Among them, the activation energy database is established by recording the reaction data of each refining agent sample (reaction rate, temperature change, etc.) in a large number of experiments, fitting and analyzing the data based on the Arrhenius equation, and calculating the activation energy of each sample. The activation energy database stores the basic data of the refining agent (category, composition, etc.) and the corresponding activation energy value in an associated manner.

[0037] Furthermore, after obtaining the activation energy corresponding to the current refining process, a temperature model can be established based on the Arrhenius equation to obtain the relationship between the temperature in the refining furnace and the adhesion rate. The model is modeled in the form of, and the temperature in the refining furnace is converted into absolute temperature, so that the absolute temperature, activation energy and ideal gas constant are introduced into the above model to construct a temperature index function, which is the temperature model. Among them, K represents the reaction rate constant, A is the model parameter, E is the activation energy, R is the ideal gas constant, and T is the absolute temperature.

[0038] Furthermore, the historical refining furnace temperature in the historical refining data is converted into historical absolute temperature, and the historical absolute temperature, historical activation energy, historical refining stirring intensity and historical refining agent basic data corresponding to each historical refining process are used as input, and the historical adhesion rate corresponding to each historical refining process is used as output. The model parameters in the temperature model are adjusted by an optimization algorithm (such as least squares method, gradient descent method, etc.), and the calculation is continuously iterated to minimize the error between the adhesion rate predicted by the model and the historical adhesion rate. After multiple iterative optimizations, a set of optimal model parameter values ​​are obtained. The model parameters are brought into the temperature model to obtain the target temperature model.

[0039] After the target temperature model is obtained, the first adhesion rate of the refining agent may be determined based on the target temperature model, basic data of the refining agent, refining stirring intensity, and temperature in the refining furnace.

[0040] In this embodiment, based on the target temperature model, the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace, the first adhesion rate of the refining agent is determined, including: calculating the particle size influence index corresponding to the particle size of the refining agent and the stirring intensity influence index corresponding to the refining stirring intensity; substituting the target temperature model into Formula 1 to obtain Formula 2, where Formula 1 is , is the first adhesion rate, k is the comprehensive correction coefficient, S is the surface roughness of the refining agent, T is the temperature in the refining furnace, a is the temperature influence index, G is the refining agent particle size, b is the particle size influence index, I is the refining stirring intensity, c is the stirring intensity influence index, and formula 2 is ; Substitute the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace into Formula 2 to calculate the first adhesion rate of the refining agent.

[0041] The particle size influence index is a value used to measure the influence of the particle size of the refining agent on its adhesion rate. Different particle sizes will lead to different dispersion of the refining agent in the furnace, different contact areas with the materials in the furnace, etc., which will affect the adhesion rate.

[0042] The stirring intensity influence index is used to indicate the influence of refining stirring intensity on the refining agent adhesion rate. Different stirring intensities will affect the distribution uniformity of the refining agent in the furnace and the contact frequency with the materials in the furnace.

[0043] In this embodiment, the particle size influence index corresponding to the refining agent particle size and the stirring intensity influence index corresponding to the refining stirring intensity are calculated, including: selecting first historical sub-data that meet a first preset condition and second historical sub-data that meet a second preset condition from historical refining data to obtain a first historical sequence and a second historical sequence, the first preset condition being that any first feature in the first target feature has the same corresponding feature value in each corresponding historical refining process, the first feature is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the historical refining stirring intensity, and the temperature in the historical refining furnace, and the second preset condition being that any second feature in the second target feature has the same corresponding feature value in each corresponding historical refining process, the second feature is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the particle size of historical refining agent, and the temperature in the historical refining furnace; establishing a first curve corresponding to the first historical sequence and a second curve corresponding to the second historical sequence; and determining the particle size influence index corresponding to the refining agent particle size and the stirring intensity influence index corresponding to the refining stirring intensity based on the first curve and the second curve.

[0044] Specifically, the historical refining data is traversed, and for each first feature in the first target feature (historical refining agent addition amount, historical refining agent surface characteristics, historical refining agent category, historical refining stirring intensity, and historical refining furnace temperature), the characteristic value of the feature in each historical refining process is checked. If the characteristic value of each first feature is the same in each corresponding historical refining process, the historical refining data that meet the conditions are screened out to form the first historical sub-data. For example, if the historical refining stirring intensity is selected as the first feature, the data records with the same characteristic value of stirring intensity in all historical refining processes are screened out, and then the data records with the same historical refining agent addition amount are screened out from the screened data records with the same historical refining stirring intensity, and so on, the first historical sub-data with the same characteristic value of each first feature in each corresponding historical refining process are obtained, and all the first historical sub-data are sorted into the first historical sequence.

[0045] Similarly, each of the second target features (historical refining agent addition amount, historical refining agent surface characteristics, historical refining agent type, historical refining agent particle size, and historical refining furnace temperature) is checked. When the feature value of each second feature is consistent in each corresponding historical refining process, these data are selected as the second historical sub-data, and the second historical sub-data are organized into a second historical sequence.

[0046] Furthermore, data pairs related to particle size and adhesion rate are extracted from the first historical sequence. Assume that the first historical sequence records the corresponding refining agent adhesion rate under different particle sizes, with particle size as the horizontal axis and adhesion rate as the vertical axis. And use a data fitting algorithm (such as polynomial fitting, linear fitting, etc.) to fit these data points to obtain a curve that can reflect the relationship between particle size and adhesion rate, that is, the first curve. Similarly, data pairs related to stirring intensity and adhesion rate are extracted from the second historical sequence, with stirring intensity as the horizontal axis and adhesion rate as the vertical axis. The data fitting algorithm is also used to fit these data points to obtain a second curve reflecting the relationship between stirring intensity and adhesion rate.

[0047] Furthermore, because the particle size influence index reflects the degree of influence of the particle size change on the adhesion rate, the slope of the curve can reflect this change relationship, so the first curve can be mathematically analyzed by the derivation method, specifically, the first curve is derivated, and the derivative obtained can be used as the particle size influence index. Similarly, the stirring intensity influence index reflects the degree of influence of the stirring intensity change on the adhesion rate, so the slope of the curve can be obtained by derivation, specifically, the second curve is derivated, and the derivative obtained can be used as the stirring intensity influence index.

[0048] Furthermore, the historical refining data is traversed, and for each third feature in the third target feature (the amount of historical refining agent added, the surface characteristics of historical refining agent, the category of historical refining agent, the particle size of historical refining agent, and the intensity of historical refining stirring), the characteristic value of the feature in each historical refining process is checked. If the characteristic value of each third feature is the same in each corresponding historical refining process, the historical refining data that meet the conditions are screened out to form the third historical sub-data. The data points are fitted using a data fitting algorithm (such as polynomial fitting, linear fitting, etc.) to obtain a curve that can reflect the relationship between particle size and adhesion rate, i.e., the third curve, and the derivative is derived within the third curve, and the derivative obtained can be used as the temperature influence index.

[0049] After obtaining the particle size influence index and the stirring intensity influence index, the target temperature model can be stored as an executable code expression. Then, Formula 1 is implemented in the code, and the target temperature model is substituted into the temperature-related part of Formula 1 to obtain Formula 2. Specifically, since temperature not only affects the chemical reaction rate, but also may affect the physical adsorption of the refining agent, the fluidity of the melt, the interfacial tension, etc., and these physical mechanisms cannot be directly described by the Arrhenius equation. Therefore, Substitution In the formula, we get . And the temperature influence index, particle size influence index, stirring intensity influence index, basic data of refining agent, refining stirring intensity and temperature in the refining furnace are brought into Formula 2 to calculate the first adhesion rate of the refining agent. Among them, k can be set according to experiments or actual conditions, and this embodiment of the application is not limited to this.

[0050] Step S103: determining the influence degree of the ambient humidity on the refining agent, and determining the second adhesion rate of the refining agent based on the influence degree.

[0051] The second adhesion rate is the ratio of the refining agent adhering to the surface of the material in the furnace under the influence of humidity.

[0052] In this embodiment, when the historical refining data includes historical ambient humidity, determining the degree of influence of ambient humidity on the refining agent includes: performing time domain analysis and frequency domain analysis on the historical refining data to obtain a humidity time domain function relationship and a frequency domain characteristic vector matrix corresponding to the refining agent; based on the humidity time domain function relationship, predicting a first change curve corresponding to the current refining process, the first change curve being a time change curve of ambient humidity; inputting the frequency domain characteristic vector matrix and the basic data of the refining agent into a circulatory network model, and obtaining a second change curve output by the circulatory network model, the second change curve being a curve of influence varying with ambient humidity; based on the first change curve and the second change curve, determining the degree of influence of ambient humidity on the refining agent.

[0053] The historical environmental humidity data and the corresponding timestamp information are extracted from the database corresponding to the refiner, and these data are arranged in chronological order to construct a humidity-time series. Then, the humidity-time series is fitted using time domain analysis methods, such as the moving average method, the autoregressive integrated moving average model (ARIMA), etc., to obtain a humidity-time domain function relationship that can describe the law of humidity change over time. The humidity-time series is then Fourier transformed, and the time domain signal is converted to the frequency domain through Fourier transform to obtain the amplitude and phase information of different frequency components. This information is organized into a frequency domain eigenvector matrix, each row of which can represent an eigenvector at a specific frequency, containing amplitude and phase information.

[0054] Furthermore, according to the obtained humidity time domain function relationship, combined with the start time information of the current refining process, the forecast method in the ARIMA model can be used to input the predicted time range (the time period from the start of the current refining process) to obtain the predicted value of the ambient humidity over time. These predicted values ​​are arranged in chronological order and the first change curve is drawn, which shows the change of ambient humidity over time in the current refining process. Among them, the ARIMA model is trained with a large amount of historical sample data.

[0055] Furthermore, the obtained frequency domain eigenvector matrix and basic data of the refining agent (such as refining agent particle size, surface roughness, category, etc.) are preprocessed and converted into a format suitable for the input of the recurrent network model. For example, the basic data of the refining agent is normalized so that its value range is between 0 and 1. Then, the frequency domain eigenvector matrix and basic data of the refining agent of the current refining process are input into the trained recurrent network model, and the recurrent network model outputs the corresponding predicted values ​​of the impact degree under different ambient humidity. These predicted values ​​are combined with the corresponding ambient humidity values ​​to draw a second change curve, which represents the change of the impact degree with the ambient humidity. Among them, the recurrent network model (such as the long short-term memory network LSTM or the gated recurrent unit GRU) is trained using historical data (including the frequency domain eigenvector matrix, the basic data of the refining agent and the corresponding impact degree data), and the weight of the model is adjusted using the back propagation algorithm to minimize the error between the impact degree predicted by the model and the actual impact degree.

[0056] Furthermore, the first change curve and the second change curve are associated. For the environmental humidity value corresponding to each time point on the first change curve, the corresponding influence degree value is searched on the second change curve. Specifically, if there is no completely matching environmental humidity value on the second change curve, an approximate influence degree value can be obtained by linear interpolation using adjacent points. The influence degree value corresponding to each time point is recorded, so as to determine the change of the influence degree of environmental humidity on the refining agent over time during the entire current refining process.

[0057] In this embodiment, based on the degree of influence, the second adhesion rate of the refining agent is determined, including: determining the historical degree of influence corresponding to the ambient humidity in each historical refining process based on the second change curve, and calculating the historical first adhesion rate corresponding to each historical refining process; determining the influence coefficient corresponding to the degree of influence based on the historical first adhesion rate, the historical adhesion rate and the historical degree of influence in each historical refining process; determining the second adhesion rate of the refining agent based on the influence coefficient and the degree of influence.

[0058] Among them, the influence coefficient is used to reflect the proportional relationship between the influence of environmental humidity and the change in adhesion rate.

[0059] The ambient humidity value corresponding to each historical refining process is extracted from the historical refining data, and the influence degree corresponding to these ambient humidity values ​​is found on the second change curve (influence degree versus ambient humidity change curve). If there is no completely matching ambient humidity value on the second change curve, an interpolation method (such as linear interpolation) can be used to estimate the corresponding historical influence degree. For each historical refining process, according to the above method (the method for determining the first adhesion rate based on the basic data of the refining agent, the refining stirring intensity, and the temperature in the refining furnace), the corresponding data in the historical refining process (historical refining agent basic data, historical refining stirring intensity, historical refining furnace temperature) are substituted into the target temperature model and other related formulas to calculate the historical first adhesion rate corresponding to each historical refining process.

[0060] Furthermore, the least square method can be used to determine the influence coefficient. Specifically, for the i-th historical refining process among the multiple historical refining processes, the historical first adhesion rate is , the historical attachment rate is, and the historical impact degree is , the relationship between the historical attachment rate, the historical first attachment rate and the historical influence degree is determined as , and the data in each historical refining process ( , , ) is substituted into the above relationship to construct the error function: , where n is the number of historical refining processes. Further, the error function Take the derivative and calculate it to be 0, and find the solution that minimizes the error function value, the The value is the influence coefficient corresponding to the influence degree.

[0061] Furthermore, based on the calculated influence degree of the ambient humidity on the refining agent in the current refining process and the determined influence coefficient, the second adhesion rate of the refining agent is calculated using the formula: second adhesion rate = influence coefficient * influence degree.

[0062] Step S104: calculating the adjustment amount of the refining agent based on the first attachment rate and the second attachment rate, and determining the actual addition amount of the refining agent based on the adjustment amount.

[0063] After obtaining the first attachment rate and the second attachment rate, the mass of the refining agent attached to the inner wall of the refiner can be calculated based on the first attachment rate and the second attachment rate, and then the adjustment amount of the refining agent can be obtained according to the mass to determine the actual amount of refining agent added. Specifically, the sum of the second attachment rate and the first attachment rate can be calculated, and then multiplied by the mass of the refining agent planned to be added at the current moment to obtain the adjustment amount of the refining agent. For example, if the first attachment rate is 10%, the second attachment rate is 5%, and the mass of the refining agent planned to be added at the current moment is 100kg, then the adjustment amount = 100 × (5% + 10%) = 15kg. If the adjustment amount is a positive value, it means that the amount of refining agent added needs to be reduced; if it is a negative value, it means that the amount of refining agent added needs to be increased. The mass of the refining agent planned to be added at the current moment is added to the adjustment amount to obtain the actual amount of refining agent added. That is, the actual amount of refining agent added = the amount of refining agent planned to be added at the current moment + the adjustment amount. In the above example, the actual amount of refining agent added = 100 + 15 = 115kg.

[0064] In this embodiment, based on the first adhesion rate and the second adhesion rate, the corresponding adjustment amount of the refining agent is calculated, including: based on the addition amount, the reaction process, diffusion process and adhesion process of the refining agent are analyzed respectively, and the reaction rate coefficient, diffusion coefficient and proportional coefficient corresponding to the refining agent are calculated, and a physical model corresponding to the refining agent is established; the proportional coefficient is determined based on the physical model, and the proportional coefficient is used to correct the difference between the actual adhesion of the refining agent in the refining process and the result calculated based on the adhesion rate alone; the mass of the refining agent to be added at each moment, the first adhesion rate and the second adhesion rate are substituted into Formula 3 to obtain the corresponding adjustment amount of the refining agent, and Formula 3 is , is the adjustment amount, is the quality of refining agent, is the first attachment rate, is the second adhesion rate, k is the proportionality coefficient, and t is the time for adding the refining agent.

[0065] The total volume inside the refiner is obtained from the database corresponding to the refiner, and the reaction rate corresponding to the current refining process is obtained. The refining agent concentration is calculated based on the total volume inside the refiner and the mass of the refining agent. The reaction rate coefficient is calculated based on the reaction rate, the refining agent concentration and the reaction rate calculation formula, where reaction rate = reaction rate coefficient * refining agent concentration.

[0066] Computational fluid dynamics (CFD) software is used to simulate the flow field, temperature field and material transfer process in the furnace, and a diffusion and reaction model of the refining agent in the furnace is established. By inputting the initial conditions and boundary conditions in the furnace (such as furnace structure, temperature distribution, gas flow, etc.), the concentration distribution of the refining agent at different positions and times in the furnace can be predicted. According to Fick's diffusion law, the diffusion process of the refining agent is analyzed, the concentration change data with time and position are obtained, and numerical methods (such as finite difference method) are used to solve and fit Fick's second law to obtain the diffusion coefficient. Among them, the simulation method of computational fluid dynamics and Fick's diffusion law are conventional technical means in this field, and the embodiments of this application are not repeated here.

[0067] The data of multiple historical refining processes are collected, the ratio of the actual adhesion amount to the theoretical adhesion amount in each historical refining process is calculated, and the average value is taken as the preliminary estimate of the proportionality coefficient.

[0068] Furthermore, a physical model describing the behavior of the refining agent in the furnace is established by integrating the analysis results of the reaction process, diffusion process, and adhesion process, and the physical model is calibrated using historical refining data. The amount of addition, furnace temperature, stirring intensity and other parameters in the historical refining process are input into the physical model to obtain the adhesion amount predicted by the model. The adhesion amount predicted by the model is compared with the actual recorded adhesion amount, and the error between the two is calculated. An optimization algorithm (such as the gradient descent method) can be used to find the optimal proportional coefficient to minimize the error.

[0069] Furthermore, after obtaining the optimal proportional coefficient, the optimal proportional coefficient is substituted into Formula 3, and the mass of the refining agent to be added at each moment, the first adhesion rate and the second adhesion rate are substituted into Formula 3. , in order to obtain the corresponding adjustment amount of refining agent.

[0070] The embodiment of the present application provides a method for determining the amount of refining agent added in a furnace. By adopting the above technical solution, various data in the refining process (such as the amount of refining agent added, basic data, stirring intensity, furnace temperature) and ambient humidity are collected, and based on the basic data of the refining agent (particle size, surface roughness, category), stirring intensity and furnace temperature, the natural adhesion of the refining agent during the refining process, that is, the first adhesion rate, can be evaluated. Further, by considering the influence of ambient humidity on the adhesion of the refining agent and determining the second adhesion rate accordingly, the practicality and accuracy of the method are enhanced, and by combining the first adhesion rate and the second adhesion rate, the adjustment amount of the refining agent is calculated, and the actual amount of refining agent added is determined accordingly, thereby ensuring the accuracy and rationality of the amount of refining agent added, which helps to improve the refining effect and product quality.

[0071] The above embodiment introduces a method for determining the amount of refining agent added in a furnace from the perspective of a method flow, and the following embodiment introduces a device for determining the amount of refining agent added in a furnace from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0072] See also Figure 2 The device 20 for determining the amount of refining agent added in the furnace may specifically include: an acquisition module 201, a first determination module 202, a second determination module 203 and a calculation module 204, wherein: A device 20 for determining the amount of refining agent added in a furnace, comprising: The acquisition module 201 is used to acquire the refining information corresponding to the current refining process and the ambient humidity. The refining information includes the amount of refining agent added, basic data of the refining agent, refining stirring intensity and temperature in the refining furnace. The amount of refining agent added includes the mass of the refining agent to be added at each moment during the refining process. The basic data of the refining agent includes the particle size of the refining agent, the surface roughness of the refining agent and the type of the refining agent. A first determination module 202 is used to determine a first adhesion rate of the refining agent based on basic data of the refining agent, refining stirring intensity, and temperature in the refining furnace; The second determination module 203 is used to determine the influence degree of the ambient humidity on the refining agent, and determine the second adhesion rate of the refining agent based on the influence degree; The calculation module 204 is used to calculate the adjustment amount of the refining agent based on the first attachment rate and the second attachment rate, and determine the actual addition amount of the refining agent based on the adjustment amount.

[0073] In a possible implementation of the embodiment of the present application, when the first determination module 202 determines the first adhesion rate of the refining agent based on the basic data of the refining agent, the refining stirring intensity, and the temperature in the refining furnace, it is specifically used to: Obtaining historical refining data corresponding to the refiner and determining the activation energy corresponding to the current refining process, the historical refining data including historical refining information corresponding to each historical refining process and historical adhesion rate; According to the form of Arrhenius equation, a temperature model including temperature exponential term is constructed, and the temperature model is used to describe the relationship between temperature and adhesion rate; The temperature model is optimized based on historical refined data to obtain the target temperature model, where the target temperature model is , A is the model parameter, E is the activation energy, R is the ideal gas constant, and T is the absolute temperature corresponding to the historical temperature; The first adhesion rate of the refining agent is determined based on the target temperature model, basic data of the refining agent, refining stirring intensity and temperature in the refining furnace.

[0074] In a possible implementation of the embodiment of the present application, when the first determination module 202 determines the first adhesion rate of the refining agent based on the target temperature model, the basic data of the refining agent, the refining stirring intensity, and the temperature in the refining furnace, it is specifically used to: Calculate the particle size influence index corresponding to the refining agent particle size and the stirring intensity influence index corresponding to the refining stirring intensity; Substitute the target temperature model into Formula 1 to obtain Formula 2, where Formula 1 is , is the first adhesion rate, k is the comprehensive correction coefficient, S is the surface roughness of the refining agent, T is the temperature in the refining furnace, a is the temperature influence index, G is the refining agent particle size, b is the particle size influence index, I is the refining stirring intensity, c is the stirring intensity influence index, and formula 2 is ; Substitute the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace into Formula 2 to calculate the first adhesion rate of the refining agent.

[0075] In a possible implementation of the embodiment of the present application, when calculating the particle size influence index corresponding to the refining agent particle size and the stirring intensity influence index corresponding to the refining stirring intensity, the first determination module 202 is specifically used to: Filter out first historical sub-data satisfying a first preset condition and second historical sub-data satisfying a second preset condition from the historical refining data to obtain a first historical sequence and a second historical sequence, wherein the first preset condition is that the corresponding characteristic value of any first characteristic in the first target characteristic is the same in each corresponding historical refining process, and the first characteristic is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the historical refining stirring intensity, and the temperature in the historical refining furnace; and the second preset condition is that the corresponding characteristic value of any second characteristic in the second target characteristic is the same in each corresponding historical refining process, and the second characteristic is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the particle size of historical refining agent, and the temperature in the historical refining furnace; Establishing a first curve corresponding to the first historical sequence and a second curve corresponding to the second historical sequence; Based on the first curve and the second curve, a particle size influence index corresponding to the particle size of the refining agent and a stirring intensity influence index corresponding to the refining stirring intensity are determined.

[0076] In a possible implementation of the embodiment of the present application, the historical refining data includes historical ambient humidity, and the second determination module 203 is specifically used to determine the degree of influence of ambient humidity on the refining agent: Perform time domain analysis and frequency domain analysis on historical refining data to obtain the humidity time domain function relationship and frequency domain eigenvector matrix corresponding to the refining agent; Based on the humidity time domain function relationship, predict the first change curve corresponding to the current refining process, the first change curve is the time change curve of the ambient humidity; Inputting the frequency domain eigenvector matrix and the basic data of the refining agent into the cyclic network model, and obtaining the second change curve output by the cyclic network model, the second change curve being a curve of the influence degree changing with the environmental humidity; Based on the first variation curve and the second variation curve, the influence degree of the ambient humidity on the refining agent is determined.

[0077] In a possible implementation of the embodiment of the present application, when the second determination module 203 determines the second adhesion rate of the refining agent based on the influence degree, it is specifically used to: Determine the historical impact degree corresponding to the ambient humidity in each historical refining process based on the second variation curve, and calculate the historical first adhesion rate corresponding to each historical refining process; Determine an influence coefficient corresponding to the influence degree based on the historical first attachment rate, the historical attachment rate, and the historical influence degree in each historical refining process; Based on the influence coefficient and the influence degree, a second adhesion rate of the refining agent is determined.

[0078] In a possible implementation of the embodiment of the present application, when the calculation module 204 calculates the adjustment amount corresponding to the refining agent based on the first adhesion rate and the second adhesion rate, it is specifically used to: Based on the addition amount, the reaction process, diffusion process and adhesion process of the refining agent are analyzed respectively, and the reaction rate coefficient, diffusion coefficient and proportional coefficient corresponding to the refining agent are calculated, and the physical model corresponding to the refining agent is established; The proportionality coefficient is determined based on the physical model, and is used to correct the difference between the actual adhesion of the refining agent during the refining process and the result calculated based solely on the adhesion rate; Substitute the mass of the refining agent to be added at each moment, the first adhesion rate and the second adhesion rate into Formula 3 to obtain the corresponding adjustment amount of the refining agent. Formula 3 is , is the adjustment amount, is the quality of refining agent, is the first attachment rate, is the second adhesion rate, k is the proportionality coefficient, and t is the time for adding the refining agent.

[0079] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0080] See also Figure 3 , the embodiment of the present application also introduces an electronic device from the perspective of a physical device, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0081] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0082] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0083] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0084] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0085] The electronic devices include but are not limited to: mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and can also be servers, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0086] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0087] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0088] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining the amount of refining agent added in a furnace, characterized in that: include: Obtaining refining information corresponding to the current refining process and the ambient humidity, wherein the refining information includes the amount of refining agent added, basic data of the refining agent, refining stirring intensity, and temperature in the refining furnace, wherein the amount of refining agent added includes the mass of the refining agent to be added at each moment during the refining process, and the basic data of the refining agent includes the particle size of the refining agent, the surface roughness of the refining agent, and the type of the refining agent; Determining a first adhesion rate of the refining agent based on the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace; Determining the degree of influence of the ambient humidity on the refining agent, and determining a second adhesion rate of the refining agent based on the degree of influence; Based on the first attachment rate and the second attachment rate, an adjustment amount corresponding to the refining agent is calculated, and based on the adjustment amount, an actual addition amount of the refining agent is determined.

2. The method for determining the amount of refining agent added in a furnace according to claim 1, characterized in that: The determining of the first adhesion rate of the refining agent based on the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace comprises: Acquire historical refining data corresponding to the refiner, and determine the activation energy corresponding to the current refining process, wherein the historical refining data includes historical refining information and historical adhesion rate corresponding to each historical refining process; According to the form of the Arrhenius equation, a temperature model including a temperature exponential term is constructed, wherein the temperature model is used to describe the relationship between temperature and adhesion rate; The temperature model is optimized based on the historical refined data to obtain a target temperature model, wherein the target temperature model is , A is the model parameter, E is the activation energy, R is the ideal gas constant, and T is the absolute temperature corresponding to the historical temperature; A first adhesion rate of the refining agent is determined based on the target temperature model, the refining agent basic data, the refining stirring intensity, and the temperature in the refining furnace.

3. The method for determining the amount of refining agent added in a furnace according to claim 2, characterized in that: Determining a first adhesion rate of the refining agent based on the target temperature model, the refining agent basic data, the refining stirring intensity, and the temperature in the refining furnace includes: Calculating a particle size influence index corresponding to the refining agent particle size and a stirring intensity influence index corresponding to the refining stirring intensity; Substitute the target temperature model into Formula 1 to obtain Formula 2, where Formula 1 is , is the first adhesion rate, k is the comprehensive correction coefficient, S is the surface roughness of the refining agent, T is the temperature in the refining furnace, a is the temperature influence index, G is the refining agent particle size, b is the particle size influence index, I is the refining stirring intensity, c is the stirring intensity influence index, and formula 2 is ; The basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace are put into Formula 2 to calculate the first adhesion rate of the refining agent.

4. The method for determining the amount of refining agent added in a furnace according to claim 2 or 3, characterized in that: Calculating the particle size influence index corresponding to the refining agent particle size and the stirring intensity influence index corresponding to the refining stirring intensity includes: Filter out first historical sub-data satisfying a first preset condition and second historical sub-data satisfying a second preset condition from the historical refining data to obtain a first historical sequence and a second historical sequence, wherein the first preset condition is that the characteristic value corresponding to any first characteristic in the first target characteristic is the same in each corresponding historical refining process, and the first characteristic is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the intensity of historical refining stirring, and the temperature in the historical refining furnace, and the second preset condition is that the characteristic value corresponding to any second characteristic in the second target characteristic is the same in each corresponding historical refining process, and the second characteristic is any one of the amount of historical refining agent added, the surface characteristics of historical refining agent, the type of historical refining agent, the particle size of historical refining agent, and the temperature in the historical refining furnace; Establishing a first curve corresponding to the first historical sequence and a second curve corresponding to the second historical sequence; Based on the first curve and the second curve, a particle size influence index corresponding to the refining agent particle size and a stirring intensity influence index corresponding to the refining stirring intensity are determined.

5. The method for determining the amount of refining agent added in a furnace according to claim 2, characterized in that: The historical refining data includes historical ambient humidity, and determining the degree of influence of the ambient humidity on the refining agent includes: Performing time domain analysis and frequency domain analysis on the historical refining data to obtain a humidity time domain function relationship and a frequency domain characteristic vector matrix corresponding to the refining agent; Based on the humidity time domain function relationship, predicting a first change curve corresponding to the current refining process, wherein the first change curve is a time change curve of the ambient humidity; Inputting the frequency domain eigenvector matrix and the refining agent basic data into a cyclic network model, and obtaining a second change curve output by the cyclic network model, wherein the second change curve is a curve showing a change in the degree of influence with environmental humidity; Based on the first change curve and the second change curve, the degree of influence of the ambient humidity on the refining agent is determined.

6. The method for determining the amount of refining agent added in a furnace according to claim 5, characterized in that: Based on the influence degree, determining a second adhesion rate of the refining agent comprises: Determine the historical impact degree corresponding to the ambient humidity in each historical refining process based on the second variation curve, and calculate the historical first adhesion rate corresponding to each historical refining process; Determining an influence coefficient corresponding to the influence degree based on the historical first attachment rate in each historical refining process, the historical attachment rate, and the historical influence degree; Based on the influence coefficient and the influence degree, a second adhesion rate of the refining agent is determined.

7. The method for determining the amount of refining agent added in a furnace according to claim 1, characterized in that: Calculating the adjustment amount of the refining agent based on the first attachment rate and the second attachment rate includes: Based on the addition amount, the reaction process, diffusion process and adhesion process of the refining agent are analyzed respectively, and the reaction rate coefficient, diffusion coefficient and proportional coefficient corresponding to the refining agent are calculated, and a physical model corresponding to the refining agent is established; Determining a proportionality coefficient based on the physical model, wherein the proportionality coefficient is used to correct the difference between the actual adhesion of the refining agent during the refining process and the result calculated based solely on the adhesion rate; Substitute the mass of the refining agent to be added at each moment, the first adhesion rate, and the second adhesion rate into Formula 3 to obtain the corresponding adjustment amount of the refining agent. Formula 3 is: , is the adjustment amount, is the quality of refining agent, is the first attachment rate, is the second adhesion rate, k is the proportionality coefficient, and t is the time for adding the refining agent.

8. A device for determining the amount of refining agent added in a furnace, characterized in that: include: An acquisition module is used to acquire the refining information corresponding to the current refining process and the ambient humidity. The refining information includes the amount of refining agent added, basic data of the refining agent, refining stirring intensity and temperature in the refining furnace. The amount of refining agent added includes the mass of the refining agent to be added at each moment during the refining process. The basic data of the refining agent includes the particle size of the refining agent, the surface roughness of the refining agent and the type of the refining agent. A first determination module, configured to determine a first adhesion rate of the refining agent based on the basic data of the refining agent, the refining stirring intensity and the temperature in the refining furnace; A second determination module is used to determine the influence degree of the environmental humidity on the refining agent, and determine a second adhesion rate of the refining agent based on the influence degree; A calculation module is used to calculate an adjustment amount corresponding to the refining agent based on the first attachment rate and the second attachment rate, and determine an actual addition amount of the refining agent based on the adjustment amount.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the method for determining the amount of refining agent added in a furnace according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the method for determining the amount of refining agent added in a furnace according to any one of claims 1 to 7.

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