Intelligent mixing control method for a mixer

Abstract

The application discloses an intelligent stirring control method for a mixer, and relates to the technical field of material mixing.The method comprises the following steps: setting a stirring effect evaluation system according to the stirring requirements of any stirring stage; evaluating and analyzing a first stirring stage of a target stirring stage to obtain a first stirring effect index, and extracting a first stirring control scheme to form a first target data group; according to the similarity between the first target data group and a first historical data group, taking a first historical stirring effect index as a first fitness, obtaining an optimal stirring control scheme, and performing stirring control.The application solves the technical problem that, in the prior art, the stirring requirements of materials are different in different stirring stages, and there is intergenerational influence, which affects the overall stirring efficiency and stirring effect, and achieves the technical effects that the stirring effect is evaluated in stages, and the optimal stirring control scheme is found by combining historical data, so that the stirring process is efficient, stable and reliable.

Description

Technical Field

[0001] The present invention relates to the technical field of material mixing, and in particular to an intelligent stirring control method for a mixer. Background Art

[0002] Mixer control is crucial for ensuring uniform mixing of materials, improving production efficiency, and enhancing product quality. With the advancement of technology, the automation level of mixers has significantly improved. Advanced control technologies, such as PLC control systems and digital operation panels, make operation easier and more precise.

[0003] However, since the material requirements at different mixing stages are different and the mixing effects at each stage influence each other, the overall mixing efficiency and mixing effect are affected. Summary of the Invention

[0004] The present application provides an intelligent stirring control method for a mixer, which is used to solve the technical problems in the prior art that the overall stirring efficiency and stirring effect are affected due to different stirring requirements of materials in different stirring stages and generational influences.

[0005] In a first aspect of the present application, an intelligent stirring control method for a mixer is provided, the method comprising: reading a predetermined stirring stage set and extracting any stirring stage from the predetermined stirring stage set; setting a stirring effect evaluation system for the arbitrary stirring stage according to the stirring requirements of the arbitrary stirring stage, and constructing a stirring database according to the correspondence between the arbitrary stirring stage and the stirring effect evaluation system; obtaining a first stirring stage of a target stirring stage, and evaluating and analyzing the first stirring stage in combination with the stirring database to obtain a first stirring effect index; randomly extracting a first stirring control scheme in a stirring control optimization space, and forming a first target data group with the first stirring effect index; extracting a first historical record from a historical stirring control record, and obtaining a similarity between the first target data group and the first historical data group in the first historical record, recorded as a first similarity; when the first similarity reaches a similarity limit, using the first historical stirring effect index in the first historical record as a first fitness of the first stirring control scheme; when the first fitness reaches a fitness limit, using the first stirring control scheme as an optimal stirring control scheme for the target stirring stage; and performing stirring control on the mixer for the target stirring stage according to the optimal stirring control scheme.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0007] The intelligent stirring control method for a mixer provided in the present application relates to the field of material mixing technology. A stirring effect evaluation system is set according to the stirring demand of the stirring stage, and an evaluation and analysis is performed on the pre-stirring stage of the target stirring stage to obtain a stirring effect index. Combined with the stirring control scheme, a target data group is formed, and the similarity between the target data group and the historical data group is compared to obtain the scheme adaptability, and then the optimal stirring control scheme is obtained for stirring control. This solves the technical problem in the prior art that the overall stirring efficiency and stirring effect are affected by different stirring demands of materials in different stirring stages and the existence of generational influences. This method realizes the stirring effect evaluation in stages and finds the optimal stirring control scheme in combination with historical data to ensure the efficient, stable and reliable technical effect of the stirring process. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0009] Figure 1 A schematic flow chart of an intelligent stirring control method for a mixer provided in an embodiment of the present application;

[0010] Figure 2 A schematic diagram of a process for constructing a stirring database in an intelligent stirring control method for a mixer provided in an embodiment of the present application;

[0011] Figure 3 A schematic diagram of the process of constructing a stirring control optimization space in the intelligent stirring control method for a mixer provided in an embodiment of the present application. DETAILED DESCRIPTION

[0012] The present application provides an intelligent stirring control method for a mixer, which is used to solve the technical problems in the prior art that the overall stirring efficiency and stirring effect are affected due to different stirring requirements of materials in different stirring stages and generational influences.

[0013] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only some of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0014] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices.

[0015] Example

[0016] like Figure 1 As shown, the present application provides an intelligent stirring control method for a mixer, the method comprising:

[0017] P10: Read a predetermined stirring stage set and extract any stirring stage in the predetermined stirring stage set, wherein the predetermined stirring stage set includes an initial mixing stage, a dispersion stage, a homogenization stage, a retention stage, and a discharge stage.

[0018] Specifically, a predefined set of mixing stages is read. This set encompasses the various stages a mixer goes through during the mixing process, including the initial mixing stage, the dispersion stage, the homogenization stage, the retention stage, and the discharge stage. Each stage has its own specific mixing requirements and objectives. The initial mixing stage begins the mixing process, primarily aiming to initially mix the various ingredients in preparation for subsequent stages. The dispersion stage disperses the mixture, ensuring that the ingredients are evenly distributed throughout the mixer and avoiding localized concentrations of excessively high or low concentrations. The homogenization stage requires adjusting the mixing speed and duration or employing other auxiliary measures to optimize the mixing effect and achieve the desired uniformity and consistency. The retention stage, after achieving the desired mixing effect, maintains a certain stirring speed or employs other strategies to prevent separation of the mixture and ensure that the homogeneity of the mixture is maintained over a period of time. The discharge stage is the final stage of the mixing process, in which the mixed materials are discharged from the mixer. Randomly extracting any mixing stage from the predefined set of mixing stages serves as the current processing target, serving as a reference and foundation for subsequent steps. This allows the system to adapt to different mixing requirements and conditions and provide customized mixing control solutions for each stage.

[0019] P20: Setting a stirring effect evaluation system for the arbitrary stirring stage according to the stirring requirements of the arbitrary stirring stage, and constructing a stirring database according to the corresponding relationship between the arbitrary stirring stage and the stirring effect evaluation system.

[0020] Further, such as Figure 2 As shown, step P20 in this embodiment of the application also includes:

[0021] P21: Sequentially set the first stirring effect evaluation system for the initial mixing stage, the second stirring effect evaluation system for the dispersion stage, the third stirring effect evaluation system for the homogenization stage, the fourth stirring effect evaluation system for the retention stage, and the fifth stirring effect evaluation system for the discharge stage. The first stirring effect evaluation system includes the bubble rate per unit volume and shear force, the second stirring effect evaluation system includes viscosity, temperature, and shear force, the third stirring effect evaluation system includes the sedimentation volume ratio and particle cluster volume ratio, the fourth stirring effect evaluation system includes energy consumption rate, bubble rate per unit volume, and shear force, and the fifth stirring effect evaluation system includes the sedimentation volume ratio and separation degree.

[0022] P22: Construct the stirring database based on the first correspondence between the initial mixing stage and the first stirring effect evaluation system, the second correspondence between the dispersion stage and the second stirring effect evaluation system, the third correspondence between the homogenization stage and the third stirring effect evaluation system, the fourth correspondence between the retention stage and the fourth stirring effect evaluation system, and the fifth correspondence between the discharge stage and the fifth stirring effect evaluation system.

[0023] It should be understood that the stirring effect evaluation system for each stirring stage is set according to the stirring requirements of each stirring stage, that is, the stirring effect evaluation system is set according to the specific stirring requirements of each stirring stage. The stirring effect evaluation system is a set of indicators used to evaluate whether the stirring process has achieved the expected goals.

[0024] Specifically, according to the stirring requirements of each stage, the first stirring effect evaluation system of the initial mixing stage, the second stirring effect evaluation system of the dispersion stage, the third stirring effect evaluation system of the homogenization stage, the fourth stirring effect evaluation system of the retention stage, and the fifth stirring effect evaluation system of the discharge stage are first set in sequence. Among them, the first stirring effect evaluation system of the initial mixing stage includes the bubble rate per unit volume and the shear force, which can evaluate the initial mixing degree and mixing uniformity of the raw materials. The second stirring effect evaluation system of the dispersion stage includes viscosity, temperature and shear force, which can reflect the fluidity, dispersion effect and temperature change of the material in the dispersion stage to ensure that the dispersion effect meets the process requirements.

[0025] At the same time, the third stirring effect evaluation system in the homogenization stage includes the sedimentation volume ratio and the particle cluster volume ratio, which can evaluate the dispersion and uniformity of the solid particles in the mixture to ensure that the mixture achieves the expected homogenization effect. The fourth stirring effect evaluation system in the retention stage includes the energy consumption rate, the bubble rate per unit volume and the shear force, which can evaluate the energy consumption of the mixer in the retention stage, the stability and uniformity of the mixture to ensure that the mixture maintains uniformity over a period of time. The fifth stirring effect evaluation system in the discharge stage includes the sedimentation volume ratio and the separation degree, which can evaluate the sedimentation of solid particles in the mixture and the separation degree of the mixture in the discharge stage to ensure that the mixture has uniform composition and properties when discharged.

[0026] Furthermore, based on the correspondence between each stirring stage and the corresponding stirring effect evaluation system, data from each stirring stage and stirring effect evaluation system is collected, organized, and analyzed, and stored in a database to construct a stirring database. The stirring database is a database that stores stirring stages, stirring effect evaluation systems, and other related information. This can be used to query, analyze, and optimize the stirring process so that the desired stirring effect can be achieved at each stirring stage.

[0027] P30: Acquire the first stirring stage of the target stirring stage, and evaluate and analyze the first stirring stage in combination with the stirring database to obtain a first stirring effect index.

[0028] Specifically, first determine the target stirring stage, which is the stirring stage that the mixer is currently in, and obtain the previous stirring stage of the target stirring stage as the first stirring stage. The performance of the first stirring stage will directly affect the stirring effect of the target stirring stage. Further, based on the stirring database, extract the specific values ​​of the various stirring effect evaluation indicators of the first stirring stage. For example, if the first stirring stage is the initial mixing stage, the corresponding stirring effect evaluation indicators are the bubble rate per unit volume and the shear force. Further, after normalizing the specific values ​​of the various stirring effect evaluation indicators of the first stirring stage, assign corresponding weights according to the importance of each stirring effect evaluation indicator, and perform weighted calculation on each stirring effect evaluation indicator according to the assigned weights to obtain the first stirring effect index. The first stirring effect index is a quantitative indicator that can reflect the comprehensive stirring effect of the first stirring stage and provide strong support for subsequent optimization control.

[0029] Furthermore, the embodiment of the present application further includes step P30a:

[0030] When the target stirring stage is the initial mixing stage, the multi-dimensional material characteristics of the target material are analyzed and matched with a predetermined stirring control scheme, and the predetermined stirring control scheme is used to perform stirring control of the mixer in the target stirring stage.

[0031] Optionally, when the target stirring stage is the initial mixing stage, there is no pre-stage in the current stage, so the predetermined stirring control scheme is matched by analyzing the multi-dimensional material characteristics of the target material. First, a detailed characteristic analysis of the target material to be mixed is performed, including analysis of the particle size distribution, density, viscosity, humidity, chemical properties, etc. of the material. Furthermore, based on the multi-dimensional material characteristics of the target material, a most matching stirring control scheme is found from a predefined stirring control scheme library, which contains stirring control schemes pre-designed for different material properties and stirring requirements. Each scheme includes a set of specific stirring parameter settings, such as stirring speed, stirring time, stirring paddle position, etc. The predetermined stirring control scheme is used to perform stirring control of the mixer in the target stirring stage to ensure that a suitable stirring strategy can be adopted in the initial mixing stage, laying a good foundation for the subsequent stirring process.

[0032] P40: Randomly extract a first stirring control scheme in the stirring control optimization space, and form a first target data group with the first stirring effect index.

[0033] Further, such as Figure 3 As shown, step P40 in this embodiment of the application also includes:

[0034] P41: Reading predetermined stirring indicators, and obtaining a first predetermined parameter threshold of a first predetermined indicator among the predetermined stirring indicators;

[0035] P42: Constructing the stirring control optimization space according to the first predetermined parameter threshold;

[0036] P43: The predetermined stirring indexes include stirring speed, stirring time and stirring paddle position.

[0037] It should be understood that control scheme extraction is performed in the stirring control optimization space, and the stirring control optimization space includes all possible stirring control schemes. The construction process can be that, first, in order to determine the boundary of the stirring control optimization space, the predetermined stirring indicators are read. The predetermined stirring indicators include stirring speed, stirring time and stirring paddle position, which can be set according to the performance of the mixer, the characteristics of the stirring material and the stirring process requirements, and the first predetermined parameter threshold of the first predetermined indicator in the predetermined stirring indicators is obtained, for example, the effective value range of the stirring speed is obtained.

[0038] Furthermore, based on the first predetermined parameter threshold, that is, based on the value range of each predetermined stirring index, the stirring control optimization space is constructed. The stirring control optimization space is a multidimensional search space, where each dimension corresponds to a stirring index, and the value range of each dimension is determined by the corresponding parameter threshold. Within this space, a stirring control scheme that meets the requirements can be randomly selected or searched. A stirring control scheme is randomly extracted from the stirring control optimization space and used as the first stirring control scheme. Together with the first stirring effect index, it forms a first target data set, providing a data foundation for subsequent optimization control.

[0039] P50: Extracting a first historical record from the historical stirring control record, and obtaining a similarity between the first target data group and the first historical data group in the first historical record, which is recorded as a first similarity.

[0040] Optionally, a historical record is extracted from the historical stirring control record database as a first historical record. The first historical record contains information such as the control scheme used in the past stirring process and its corresponding stirring effect index. Further, the similarity between the currently randomly extracted first target data group (including the first stirring control scheme and the first stirring effect index) and the first historical data group (including the historical stirring control scheme and the corresponding stirring effect index) is compared. The calculation of the similarity may be based on multiple factors, such as the parameter difference of the control scheme, the degree of closeness of the stirring effect index, etc. The specific similarity calculation method can be determined according to the actual application scenario and requirements.

[0041] Furthermore, the calculated similarity value is recorded as a first similarity and used in subsequent analysis and decision-making. For example, the similarity can be used to determine whether the currently randomly extracted stirring control scheme is effective or whether further adjustment and optimization are required. The similarity analysis method based on historical data can use historical stirring control records to evaluate the rationality and effectiveness of the currently randomly extracted stirring control scheme, thereby improving the accuracy and efficiency of stirring control.

[0042] P60: When the first similarity reaches a similarity limit, the first historical stirring effect index in the first historical record is used as the first adaptability of the first stirring control scheme.

[0043] Specifically, a similarity limit is set to determine whether the currently randomly extracted stirring control scheme is similar enough to the scheme in the historical record, and can be adjusted according to actual needs. First, the first similarity is compared with the similarity limit. When the first similarity reaches the similarity limit, it means that the current first stirring control scheme is very similar to the scheme in the first historical record. It is believed that the stirring effect index in the first historical record, that is, the first historical stirring effect index, has a high reference value for the current first stirring control scheme. The first historical stirring effect index is used as the fitness of the current stirring control scheme, that is, the first fitness. The fitness here is an indicator to measure the quality of the stirring control scheme. By using the stirring effect index in the historical data as the fitness, the potential effect of the current stirring control scheme can be evaluated more quickly without the need for actual stirring tests, which helps to save time and resources and improve the optimization efficiency of the stirring process.

[0044] Furthermore, the embodiment of the present application further includes step P60a, which further includes:

[0045] P61a: Constructing first training data based on the first historical data group and the first historical stirring effect index in the first historical records;

[0046] P62a: Performing supervised learning on the first training data based on the neural network principle to obtain a stirring effect prediction model;

[0047] P63a: Analyze the first target data set using the stirring effect prediction model to obtain a second stirring effect prediction value;

[0048] P64a: Correct and adjust the first fitness according to the second stirring effect prediction value.

[0049] It should be understood that the fitness correction is performed by constructing and applying a stirring effect prediction model based on historical data. First, a first historical data set (including stirring control schemes) and a corresponding first historical stirring effect index are extracted from historical records and combined into first training data for training the stirring effect prediction model. Furthermore, a neural network or other suitable machine learning algorithm is used to perform supervised learning on the first training data. During the training process, the input (i.e., the stirring control scheme in the historical target data set) and the corresponding output (i.e., the stirring effect index) are received, and the mapping relationship from input to output is learned to obtain a stirring effect prediction model that can predict the stirring effect index of a given stirring control scheme.

[0050] Furthermore, the first target data set is analyzed using the stirring effect prediction model, and the corresponding stirring effect index, i.e., the second stirring effect prediction value, is predicted based on the parameters of the stirring control scheme. After obtaining the second stirring effect prediction value, it is compared with the first fitness previously obtained based on similarity. If there is a large difference between the second stirring effect prediction value and the first fitness, the first fitness is corrected and adjusted. Different strategies can be adopted according to actual needs, such as using the predicted value as the new fitness, or performing a weighted average of the predicted value and the fitness, etc., to more accurately reflect the potential effect of the current stirring control scheme.

[0051] P70: When the first fitness reaches the fitness limit, the first stirring control scheme is used as the optimal stirring control scheme for the target stirring stage.

[0052] Optionally, when the fitness of a particular stirring control scheme reaches a preset fitness limit, the scheme is considered the optimal stirring control scheme for the target stirring stage. Specifically, the fitness limit is a preset threshold used to judge the quality of stirring control schemes and can be set based on factors such as actual stirring requirements, material characteristics, and mixer performance. When the fitness of a stirring control scheme reaches or exceeds the fitness limit, it indicates that the scheme is sufficiently good under the current conditions and can be considered the optimal scheme.

[0053] Furthermore, the embodiment of the present application further includes step P70a, which further includes:

[0054] P71a: When the first fitness does not reach the fitness limit, obtaining a second fitness of a second stirring control scheme in the stirring control optimization space;

[0055] P72a: When the second fitness reaches the fitness limit, the second stirring control scheme is recorded as the optimal stirring control scheme.

[0056] Specifically, first check whether the fitness of the first stirring control scheme has reached the preset fitness limit. If not, continue to randomly extract a second stirring control scheme from the stirring control optimization space, that is, the second stirring control scheme, and evaluate the fitness of the second stirring control scheme with reference to the above method to obtain the second fitness. When the second fitness reaches the fitness limit, the second stirring control scheme is recorded as the optimal stirring control scheme for the target stirring stage. Similarly, if the second fitness does not reach the fitness limit, continue to iterate and optimize until the optimal stirring control scheme that meets the fitness limit is found, and the optimal stirring control scheme is applied to the actual stirring operation.

[0057] P80: performing stirring control on the mixer in the target stirring stage according to the optimal stirring control scheme.

[0058] It should be understood that, with reference to the optimal stirring control scheme, corresponding control instructions are sent to the mixer to perform stirring control on the mixer in the target stirring stage, and the mixer is guided to set its parameters to perform the stirring operation, thereby ensuring the efficiency, stability and reliability of the stirring process, and at the same time, improving product quality, reducing production costs and reducing resource waste.

[0059] In summary, the embodiments of the present application have at least the following technical effects:

[0060] This application sets a stirring effect evaluation system based on the stirring requirements of the stirring stage, evaluates and analyzes the pre-stirring stage of the target stirring stage, obtains a stirring effect index, combines the stirring control scheme, forms a target data group, compares the similarity between the target data group and the historical data group, obtains the scheme adaptability, and then obtains the optimal stirring control scheme for stirring control.

[0061] The mixing effect was evaluated in stages, and the optimal mixing control solution was found based on historical data to ensure efficient, stable and reliable technical effects of the mixing process.

[0062] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0063] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0064] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, to the extent such modifications and variations fall within the scope of the present application and its equivalents, the present application is intended to include such modifications and variations.

Claims

1. An intelligent stirring control method for a mixer, characterized in that: include: Reading a predetermined stirring stage set, and extracting any stirring stage in the predetermined stirring stage set; Setting a stirring effect evaluation system for the arbitrary stirring stage according to the stirring requirements of the arbitrary stirring stage, and constructing a stirring database according to the corresponding relationship between the arbitrary stirring stage and the stirring effect evaluation system; Acquire a first stirring stage of the target stirring stage, where the first stirring stage is a stirring stage preceding the target stirring stage, and evaluate and analyze the first stirring stage in combination with the stirring database to obtain a first stirring effect index; A first stirring control scheme is randomly extracted from the stirring control optimization space, and a first target data group is formed together with the first stirring effect index, wherein obtaining the stirring control optimization space includes reading predetermined stirring indicators and obtaining a first predetermined parameter threshold of a first predetermined indicator among the predetermined stirring indicators; and constructing the stirring control optimization space according to the first predetermined parameter threshold; wherein the predetermined stirring indicators include stirring speed, stirring time, and stirring paddle position; Extracting a first historical record from the historical stirring control record, and obtaining a similarity between the first target data group and the first historical data group in the first historical record, recorded as a first similarity; When the first similarity reaches a similarity limit, using a first historical stirring effect index in the first historical record as a first fitness of the first stirring control scheme; When the first fitness reaches a fitness limit, using the first stirring control scheme as the optimal stirring control scheme for the target stirring stage; The mixer is subjected to stirring control in the target stirring stage according to the optimal stirring control scheme, and first training data is constructed based on the first historical data group and the first historical stirring effect index in the first historical record; supervised learning is performed on the first training data based on the neural network principle to obtain a stirring effect prediction model; the first target data group is analyzed by the stirring effect prediction model to obtain a second stirring effect prediction value; and the first fitness is corrected and adjusted according to the second stirring effect prediction value.

2. The intelligent stirring control method for a mixer according to claim 1, characterized in that: The predetermined stirring stage set includes an initial mixing stage, a dispersion stage, a homogenization stage, a retention stage and a discharge stage.

3. The intelligent stirring control method for a mixer according to claim 2, characterized in that: include: Sequentially set a first stirring effect evaluation system for the initial mixing stage, a second stirring effect evaluation system for the dispersion stage, a third stirring effect evaluation system for the homogenization stage, a fourth stirring effect evaluation system for the retention stage, and a fifth stirring effect evaluation system for the discharge stage; The stirring database is constructed based on the first correspondence between the initial mixing stage and the first stirring effect evaluation system, the second correspondence between the dispersion stage and the second stirring effect evaluation system, the third correspondence between the homogenization stage and the third stirring effect evaluation system, the fourth correspondence between the retention stage and the fourth stirring effect evaluation system, and the fifth correspondence between the discharge stage and the fifth stirring effect evaluation system.

4. The intelligent stirring control method for a mixer according to claim 3, characterized in that: The first stirring effect evaluation system includes the bubble rate per unit volume and shear force, the second stirring effect evaluation system includes viscosity, temperature and shear force, the third stirring effect evaluation system includes the sedimentation volume ratio and particle cluster volume ratio, the fourth stirring effect evaluation system includes energy consumption rate, bubble rate per unit volume and shear force, and the fifth stirring effect evaluation system includes the sedimentation volume ratio and separation degree.

5. The intelligent stirring control method for a mixer according to claim 2, characterized in that: When the target stirring stage is the initial mixing stage, the multi-dimensional material characteristics of the target material are analyzed and matched with a predetermined stirring control scheme, and the predetermined stirring control scheme is used to perform stirring control of the mixer in the target stirring stage.

6. The intelligent stirring control method for a mixer according to claim 1, characterized in that: include: When the first fitness does not reach the fitness limit, obtaining a second fitness of a second stirring control scheme in the stirring control optimization space; When the second fitness reaches the fitness limit, the second stirring control scheme is recorded as the optimal stirring control scheme.

Images