A vibrating mechanical electrical appliance working parameter control device and method

Abstract

The present invention relates to a vibrating mechanical electrical working parameter control device and method; collecting the rotating speed of the rotary page and the vibration frequency of the mixer at each sampling time within a set time period of different material weights; calculating the rotating speed change index and the vibration frequency change index of the mixer within a set time period; obtaining the concentration evaluation of the weight of different materials based on the rotating speed change index and the vibration frequency change index; calculating the correlation between the weights of different materials based on the concentration evaluation and the rotating speed of the rotary page, and grouping the weights of different materials to obtain a number of groups; calculating the concentration evaluation representative value of each group; inputting the concentration evaluation representative value corresponding to each group into the TCN network respectively, and outputting the concentration evaluation prediction sequence of each group; obtaining the current material weight in real time, finding the concentration evaluation prediction sequence of the group corresponding to the current material weight, and determining the stop time of the mixer according to the concentration evaluation of the current material weight. The present invention can accurately control the stop of the vibrating mechanical electrical appliance.

Description

Technical Field

[0001] The present invention relates to the technical field of vibration machinery control, and in particular to a device and method for controlling working parameters of a vibration machinery electrical appliance. Background Art

[0002] Vibrating machinery and electrical appliances include crushers, vibrating screens, mixers, etc.; vibrating machinery and electrical appliances will cause waste of resources during use. At the same time, vibrating machinery and electrical appliances will also have their service life reduced due to improper operation, excessive operation and other factors.

[0003] Take the mixer as an example. The mixer is generally divided into two working modes: manual control mode and automatic timing mode. In the manual control mode, the staff judges whether the mixing degree of the material meets the qualified standard based on experience, and manually controls the opening and closing of the mixer. This mode not only wastes manpower, but also the staff judges the mixing degree of the material based on experience, which will lead to inaccurate judgment results. In the automatic timing mode, the mixing degree of the material may not meet the qualified standard when the mixer is turned off, or the mixing degree of the material has reached the qualified standard, but the mixer continues to run, resulting in a waste of power resources. Therefore, no matter which working mode the mixer is in, the machine will operate improperly, which will affect the life of the mixer and cause a certain amount of resource waste. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a device and method for controlling the working parameters of a vibration machinery and electrical appliance, which are used to solve the technical problems of the vibration machinery and electrical appliance not being shut down in time and wasting human resources.

[0005] The technical solutions adopted are as follows:

[0006] A vibrating mechanical and electrical appliance working parameter control device provided by the present invention includes a mixer control system, the mixer control system includes a controller, and a laser tachometer and a vibration sensor connected to the controller by signal; the laser tachometer is used to detect the rotation speed of the blade, and the vibration sensor is used to detect the vibration frequency of the mixer;

[0007] The controller obtains the rotation speed of the blades and the vibration frequency of the mixer at each sampling time within a certain set time period for different weights of materials;

[0008] Based on the rotation speed of the rotary blade, calculating the rotation speed variation index of the rotary blade within a number of set time periods; based on the vibration frequency of the mixer, calculating the vibration frequency variation index of the mixer within a number of set time periods;

[0009] Calculate the product of the vibration frequency change index and the rotation speed change index to obtain the concentration evaluation corresponding to the weight of different materials in several set time periods;

[0010] Based on the concentration evaluation and the rotation speed of the rotating page, the correlation between the weights of different kinds of materials is calculated, and based on the correlation, the weights of different kinds of materials are grouped to obtain a plurality of groups, wherein each group includes at least one kind of material weight;

[0011] For groups including more than two material weights, calculate the mean of the concentration evaluation within the group and use the mean as the representative value of the concentration evaluation within the group;

[0012] For a group that includes only one material weight, the concentration evaluation corresponding to the material weight in the group is recorded as the concentration evaluation representative value of the group;

[0013] The concentration evaluation representative values ​​corresponding to each group in a certain set time period are input into the TCN network respectively, and the concentration evaluation prediction sequence of each group is output;

[0014] The current material weight is obtained in real time, the group corresponding to the current material weight is found, and then the concentration evaluation prediction sequence of the corresponding group is obtained. According to the concentration evaluation of the current material weight, the stop time of the mixer is determined.

[0015] Furthermore, the loss function of the TCN network is:

[0016]

[0017] Among them, y t is the concentration evaluation representative value of the input group corresponding to the tth set time period, is the tth concentration evaluation prediction value in the concentration evaluation prediction sequence, C t is the weight of the loss function of the representative value of concentration evaluation of the input group in the tth set time period, and N is the total number of set time periods.

[0018] Furthermore, the weight is obtained by arbitrarily selecting one of the concentration evaluation representative values ​​in the input group, calculating the sum of the distances between the concentration evaluation representative value and the remaining other concentration evaluation representative values, and the sum of the distances is the weight of the concentration evaluation representative value.

[0019] Furthermore, the method for obtaining the group corresponding to the current material weight is: by judging whether the current material weight is similar to the material weights corresponding to several pre-divided groups.

[0020] Furthermore, the vibration frequency change index is: calculating the sum of the vibration frequencies of the mixer in the current set time period and the sum of the vibration frequencies of the mixer in the previous set time period, and calculating the ratio of the sum of the current set time period to the sum of the previous set time period.

[0021] Furthermore, the speed change index is: according to the speed of the page turning at each sampling moment in a set time period, the acceleration of the page turning at each sampling moment is calculated to obtain the variance of the acceleration of the page turning in the set time period.

[0022] Furthermore, the method for obtaining the correlation degree is: calculating the correlation between the rotation speed and the weight of any two materials, calculating the absolute value of the difference between the concentration evaluations of the weights of any two materials, and determining the correlation between the weights of any two materials based on the correlation and the absolute value of the difference.

[0023] The present invention also provides a method for controlling working parameters of a vibration mechanical appliance, and the specific scheme of the control method is as follows:

[0024] Collect the weight of different materials at different sampling times within a certain set time period, the rotation degree of the blades and the vibration frequency of the mixer;

[0025] Based on the rotation speed of the rotary blade, calculating the rotation speed variation index of the rotary blade within a number of set time periods; based on the vibration frequency of the mixer, calculating the vibration frequency variation index of the mixer within a number of set time periods;

[0026] Calculate the product of the vibration frequency change index and the rotation speed change index to obtain the concentration evaluation corresponding to the weight of different materials in several set time periods;

[0027] Based on the concentration evaluation and the rotation speed of the rotating page, the correlation between the weights of different kinds of materials is calculated, and based on the correlation, the weights of different kinds of materials are grouped to obtain a plurality of groups, wherein each group includes at least one kind of material weight;

[0028] For groups including more than two material weights, calculate the mean of the concentration evaluation within the group and use the mean as the representative value of the concentration evaluation within the group;

[0029] For a group that includes only one material weight, the concentration evaluation corresponding to the material weight in the group is recorded as the concentration evaluation representative value of the group;

[0030] The concentration evaluation representative values ​​corresponding to each group in a certain set time period are input into the TCN network respectively, and the concentration evaluation prediction sequence of each group is output;

[0031] The current material weight is obtained in real time, the group corresponding to the current material weight is found, and then the concentration evaluation prediction sequence of the corresponding group is obtained. According to the concentration evaluation of the current material weight, the stop time of the mixer is determined.

[0032] Furthermore, the loss function of the TCN network is:

[0033]

[0034] Among them, y t is the concentration evaluation representative value of the input group corresponding to the tth set time period, is the tth concentration evaluation prediction value in the concentration evaluation prediction sequence, C t is the weight of the loss function of the representative value of concentration evaluation of the input group in the tth set time period, and N is the total number of set time periods.

[0035] Furthermore, the weight is obtained by arbitrarily selecting one of the concentration evaluation representative values ​​in the input group, calculating the sum of the distances between the concentration evaluation representative value and the remaining other concentration evaluation representative values, and the sum of the distances is the weight of the concentration evaluation representative value.

[0036] The embodiments of the present invention have at least the following beneficial effects:

[0037] The present invention calculates the correlation between the weights of different kinds of materials through concentration evaluation and the rotation speed of the pages, and groups the weights of different kinds of materials based on the correlation to obtain a plurality of groups, so that the weights of the materials in each group are correlated, and the obtained grouping results are more accurate.

[0038] Furthermore, the present invention obtains the current material weight in real time, finds the group corresponding to the current material weight, and then obtains the concentration evaluation prediction sequence of the corresponding group, and determines the stop time of the mixer according to the concentration evaluation of the current material weight, so that the mixer can be shut down more timely, avoiding the waste of related resources and extending the service life of the mixer. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. 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 paying creative work.

[0040] Figure 1 A schematic diagram of a mixer control system provided by the present invention;

[0041] Figure 2 A flowchart of the steps of a method for controlling working parameters of a vibration machinery and electrical appliance provided by the present invention. DETAILED DESCRIPTION

[0042] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a vibration machinery and electrical appliance working parameter control device and method proposed by the present invention, its specific implementation, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0043] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0044] Since there are too many types of vibrating mechanical appliances, this embodiment only takes a mixer as an example for the following description:

[0045] The mixer of this embodiment includes a mixer body and a mixer control system.

[0046] The mixer body may be a conventional mixer device. In the present embodiment, the mixer body includes a rotary blade. Since the mixer device is a common mixer device, its structural composition, working principle and working process will not be described in detail.

[0047] like Figure 1 As shown, the mixer control system includes a controller, and a vibration sensor and a laser tachometer connected to the controller signal.

[0048] The vibration sensor is used to detect the vibration frequency of the mixer. The vibration sensor is installed in the middle of the mixer body, which can better detect the vibration frequency of the mixer.

[0049] The laser tachometer is used to detect the rotation speed of the rotor. The specific detection process is: a reflective mark is pasted on the rotor, and the mark is used to represent the rotation position of the rotor. Whenever a rotor rotates and passes through the laser, the laser will be blocked. Each time the laser is blocked, it means that the rotor passes once, so as to detect the rotation speed of the mixer rotor. The laser tachometer is placed near the mixer and does not affect the normal operation of the mixer.

[0050] The controller is a conventional control chip, such as a single chip microcomputer.

[0051] The data of the mixer corresponding to the weight of different materials collected above are processed, wherein different weights of different materials correspond to different mixers. The data processing can be performed by a background server, that is, the controller of each mixer transmits the data to the background server, and the data of each mixer is controlled by the background server. The specific transmission method is to transmit through the communication module set in the mixer control system. As another embodiment, the data processing can also be performed in the controller of any mixer, that is, the mixers share data through the communication module set in the mixer control system.

[0052] Next, the data information of each mixer received by the controller of the mixer is analyzed as an example.

[0053] like Figure 2 As shown, the specific steps of a method for controlling working parameters of a vibration mechanical appliance of the present invention are as follows:

[0054] Step 1: Collect the weight of different materials and the speed of the page and the vibration frequency of the mixer at each sampling time within a certain set time period.

[0055] In this embodiment, the set number of time periods is set to 10, the set time period is 1 minute, and the sampling moment is 1 second; in actual operation, the time corresponding to the set time period and the sampling moment can be adjusted by the implementer; the set number of time periods can also be appropriately adjusted by the implementer according to actual needs.

[0056] It should be noted that the reason for collecting the rotor speed is that the speed of the rotor is related to the consistency of the material inside the mixer. When the mixer is under rated power, the slower the rotor speed, the higher the consistency of the material inside the mixer, and the faster the rotor speed, the lower the consistency of the material inside the mixer. When the consistency of the material reaches the standard range, the rotor speed will tend to a stable value.

[0057] It should be noted that the reason for collecting the vibration frequency of the mixer is that when the viscosity of the material inside the mixer is too high, the vibration frequency of the mixer is in an unstable state. The higher the viscosity of the material, the greater the vibration fluctuation of the mixer. When the viscosity of the material is closer to the standard viscosity, the vibration fluctuation of the mixer is smaller. When the viscosity of the material reaches the standard viscosity, the vibration frequency of the mixer will tend to be stable.

[0058] Step 2, based on the rotation speed of the blade, calculate the rotation speed change index of the blade within a certain set time period, based on the vibration frequency of the mixer, calculate the vibration frequency change index of the mixer within a certain set time period.

[0059] Specifically, the method for obtaining the speed change index is: according to the speed of the rotating page at each sampling moment in the set time period, the acceleration of the rotating page at each sampling moment is calculated, and the variance of the acceleration of the rotating page in the set time period is obtained. The variance of the acceleration is the speed change index.

[0060] The speed change index in the above-mentioned speed indicates the stability of the speed. The larger the speed change index is, the greater the fluctuation of the acceleration change is, that is, the more unstable the speed of the rotor is, and the greater the viscosity of the current material is; the smaller the speed change index is, the smaller the fluctuation of the acceleration change is, that is, the speed of the rotor tends to be stable, and the viscosity of the current material is small.

[0061] Specifically, the vibration frequency change index is: calculating the sum of the vibration frequencies of the mixer in the current set time period and the sum of the vibration frequencies of the mixer in the previous set time period, and calculating the ratio of the sum of the current set time period to the sum of the previous set time period.

[0062] Furthermore, in order to more obviously obtain the change of the vibration frequency change index in each set time period, the value range of the vibration frequency change index is made between 0 and 1; when the vibration frequency change index tends to 1, the mixing efficiency of the current mixer is fast; when the vibration frequency change index tends to 0, the mixing efficiency of the current mixer is slow.

[0063] Step 3, calculate the product of the vibration frequency change index and the rotation speed change index to obtain the concentration evaluation corresponding to the weight of different types of materials in several set time periods.

[0064] Among them, the method for obtaining the vibration frequency change index has been clearly given in step 2. According to the calculation rules of the vibration frequency change index, it is known that there is no vibration frequency change index in the first set time period. Therefore, in this embodiment, the average value of the vibration frequency of the mixer in the first set time period is used as the vibration frequency change index of the first set time period; further, the concentration evaluation corresponding to the weight of different types of materials in the first set time period is used as the initial concentration evaluation of the weight of different types of materials.

[0065] In this embodiment, the concentration evaluation changes with the change of the vibration frequency change index and the change of the rotation speed change index.

[0066] Step 4, based on the concentration evaluation and the rotation speed of the rotating page, calculate the correlation between the weights of different kinds of materials, and group the weights of different kinds of materials according to the correlation to obtain several groups, wherein each group includes at least one material weight.

[0067] Specifically, the method for obtaining the correlation degree is: calculate the correlation between the rotational speed and the weight of any two materials, calculate the absolute value of the difference between the concentration evaluations of the weights of any two materials, and determine the correlation between the weights of any two materials based on the correlation and the absolute value of the difference, that is, the correlation degree is the product of the correlation and the reciprocal of the absolute value of the difference.

[0068] The correlation in the above is the Pearson correlation coefficient of the speed sequence corresponding to the weight of the two materials. The closer the Pearson correlation coefficient is to 1, the higher the correlation between the weights of the two materials is, and the higher the possibility that the weights of the two materials are grouped together is. The less the Pearson correlation coefficient is close to 1, the lower the correlation between the weights of the two materials is, and the lower the possibility that the weights of the two materials are grouped together is.

[0069] It should be noted that the smaller the absolute value of the difference in concentration evaluation corresponding to the weights of any two materials, the higher the correlation between the weights of any two materials, and the larger the absolute value of the difference in concentration evaluation corresponding to the weights of any two materials, the lower the correlation between the weights of any two materials.

[0070] In this embodiment, the DBSCAN algorithm is used to cluster the weights of different materials to obtain several groups. During the implementation process, the implementer can adjust the value of the clustering radius to obtain more groups; the smaller the value of the clustering radius, the more groups are obtained, and the larger the value of the clustering radius, the fewer groups are obtained.

[0071] Step 5, calculating the concentration evaluation representative value corresponding to each group in the currently set time period.

[0072] It can be seen from step 4 above that a group includes at least one material weight, so this embodiment divides several groups into two cases to calculate the concentration evaluation representative value.

[0073] 1) For groups including more than two material weights, calculate the mean of the concentration evaluation within the group and use the mean as the representative value of the concentration evaluation of the group.

[0074] 2) For a group that includes only one material weight, the concentration evaluation corresponding to the material weight in the group is recorded as the concentration evaluation representative value of the group.

[0075] It should be noted that each group has a corresponding concentration evaluation representative value in each set time period.

[0076] Step 6: Input the concentration evaluation representative values ​​corresponding to each group in several set time periods into the TCN network, and output the concentration evaluation prediction sequence of each group.

[0077] In the above, the TCN network has a loss function, which is:

[0078]

[0079] Among them, y t is the concentration evaluation representative value of the input group corresponding to the tth set time period, is the tth concentration evaluation prediction value in the concentration evaluation prediction sequence, C tis the weight of the loss function of the concentration evaluation representative value of the input group in the tth set time period, and N is the total number of set time periods. In this embodiment, the total number of summations is N, and the value of N has been clearly set to 10 in step 1.

[0080] The weight in the above is: randomly select one of the concentration evaluation representative values ​​in the input group, calculate the sum of the distances between the concentration evaluation representative value and the remaining concentration evaluation representative values, and the sum of the distances is the weight of the concentration evaluation representative value.

[0081] Furthermore, the weights of the loss functions of the representative concentration evaluation values ​​in the input group are normalized so that the sum of the weights is 1; the larger the weight of the loss function corresponding to the representative concentration evaluation value for a set time period, the more credible the representative concentration evaluation value for the set time period.

[0082] The input group is a representative value of concentration evaluation in each group in a certain set time period, and each concentration evaluation representative value needs to be input into the TCN network in strict accordance with the sequence of the set time period. The training process of the TCN network is a well-known technology and will not be described in detail.

[0083] In this embodiment, when there are several concentration evaluation prediction values ​​in the concentration evaluation prediction sequence that remain unchanged or relatively stable, it is determined that the consistency of the material in the mixer has reached the standard state, that is, the material is mixed evenly, and the mixer should be turned off.

[0084] It should be noted that when the mixer is mixing materials, the consistency of the materials will gradually decrease over time, and the rotation speed of the blades will gradually increase under the influence of the consistency of the materials. The resistance encountered by the blades will decrease, and the acceleration will decrease or remain unchanged. Therefore, when the rotation speed of the blades tends to be stable, the resistance encountered by the blades is minimal, and the materials in the mixer are mixed more evenly. Therefore, when there are several concentration evaluation prediction values ​​in the concentration evaluation prediction sequence that remain unchanged or relatively stable, the mixer should be turned off.

[0085] Step 7, obtain the current material weight in real time, find the group corresponding to the current material weight, and then obtain the concentration evaluation prediction sequence of the corresponding group, and determine the stop time of the mixer according to the concentration evaluation of the current material weight.

[0086] In this embodiment, the method for obtaining the group corresponding to the current material weight is: by judging whether the current material weight is similar to the material weights corresponding to several pre-divided groups.

[0087] The specific judgment method mentioned above is: first determine whether the current material weight is similar to the material weight of the group including only one material weight. If similar, the corresponding group is the group corresponding to the current material weight; if not similar, continue to look for a group whose current material weight is within the material weight range of the group including more than two material weights, then the corresponding group is the group corresponding to the current material weight; wherein, the material weight range is: the range consisting of the maximum material weight and the minimum material weight in the group including more than two material weights.

[0088] It should be noted that, according to the concentration evaluation of the current material weight and the concentration evaluation prediction sequence of the corresponding group, the stop time of the mixer can be accurately determined, thus avoiding the waste of related resources and extending the service life of the mixer.

[0089] The present invention also provides a method for controlling working parameters of a vibration machinery and electrical appliance, which is consistent with the process of steps 1 to 7 above. Since the specific implementation process of steps 1 to 7 has been described in detail in the above embodiment, it will not be repeated here.

[0090] It should be noted that the sequence of the embodiments of the present invention described above is for description only and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A device for controlling working parameters of a vibrating mechanical appliance, characterized in that: The device comprises a mixer control system, which comprises a controller, and a laser tachometer and a vibration sensor connected to the controller by signal; the laser tachometer is used to detect the rotation speed of the blade, and the vibration sensor is used to detect the vibration frequency of the mixer; The controller obtains the rotation speed of the blades and the vibration frequency of the mixer at each sampling time within a certain set time period for different weights of materials; Based on the rotation speed of the rotary blade, calculating the rotation speed variation index of the rotary blade within a number of set time periods; based on the vibration frequency of the mixer, calculating the vibration frequency variation index of the mixer within a number of set time periods; Calculate the product of the vibration frequency change index and the rotation speed change index to obtain the concentration evaluation corresponding to the weight of different materials in several set time periods; Based on the concentration evaluation and the rotation speed of the rotating page, the correlation between the weights of different kinds of materials is calculated, and based on the correlation, the weights of different kinds of materials are grouped to obtain a plurality of groups, wherein each group includes at least one kind of material weight; For groups including more than two material weights, calculate the mean of the concentration evaluation within the group and use the mean as the representative value of the concentration evaluation within the group; For a group that includes only one material weight, the concentration evaluation corresponding to the material weight in the group is recorded as the concentration evaluation representative value of the group; The concentration evaluation representative values ​​corresponding to each group in a certain set time period are input into the TCN network respectively, and the concentration evaluation prediction sequence of each group is output; Obtain the current material weight in real time, find the group corresponding to the current material weight, and then obtain the concentration evaluation prediction sequence of the corresponding group. According to the concentration evaluation of the current material weight, determine the stop time of the mixer; The vibration frequency change index is: calculating the sum of the vibration frequencies of the mixer in the current set time period and the sum of the vibration frequencies of the mixer in the previous set time period, and calculating the ratio of the sum of the current set time period to the sum of the previous set time period; The speed change index is: according to the speed of the page turning at each sampling moment in the set time period, the acceleration of the page turning at each sampling moment is calculated to obtain the variance of the acceleration of the page turning in the set time period.

2. A vibration machine electrical appliance working parameter control device according to claim 1, characterized in that: The loss function of the TCN network is: Among them, y t is the concentration evaluation representative value of the input group corresponding to the tth set time period, is the tth concentration evaluation prediction value in the concentration evaluation prediction sequence, C t is the weight of the loss function of the representative value of concentration evaluation of the input group in the tth set time period, and N is the total number of set time periods.

3. A vibration machine electrical appliance working parameter control device according to claim 2, characterized in that: The weight is obtained by arbitrarily selecting one of the concentration evaluation representative values ​​in the input group, calculating the sum of the distances between the concentration evaluation representative value and the remaining other concentration evaluation representative values, and the sum of the distances is the weight of the concentration evaluation representative value.

4. A device for detecting working parameters of a vibration machine and an electrical appliance according to claim 1, characterized in that: The method for obtaining the group corresponding to the current material weight is: by judging whether the current material weight is similar to the material weights corresponding to several groups divided in advance.

5. A vibration machine electrical appliance working parameter control device according to claim 1, characterized in that: The method for obtaining the correlation degree is: calculating the correlation between the rotation speed and the weight of any two materials, calculating the absolute value of the difference between the concentration evaluations of the weight of any two materials, and determining the correlation degree of the weight of any two materials based on the correlation and the absolute value of the difference.

6. A method for controlling working parameters of a vibration machine and an electrical appliance, characterized in that: The method comprises the following steps: Collect the weight of different materials at different sampling times within a certain set time period, the rotation degree of the blades and the vibration frequency of the mixer; Based on the rotation speed of the rotary blade, calculating the rotation speed variation index of the rotary blade within a number of set time periods; based on the vibration frequency of the mixer, calculating the vibration frequency variation index of the mixer within a number of set time periods; Calculate the product of the vibration frequency change index and the rotation speed change index to obtain the concentration evaluation corresponding to the weight of different materials in several set time periods; Based on the concentration evaluation and the rotation speed of the rotating page, the correlation between the weights of different kinds of materials is calculated, and based on the correlation, the weights of different kinds of materials are grouped to obtain a plurality of groups, wherein each group includes at least one kind of material weight; For groups including more than two material weights, calculate the mean of the concentration evaluation within the group and use the mean as the representative value of the concentration evaluation within the group; For a group that includes only one material weight, the concentration evaluation corresponding to the material weight in the group is recorded as the concentration evaluation representative value of the group; The concentration evaluation representative values ​​corresponding to each group in a certain set time period are input into the TCN network respectively, and the concentration evaluation prediction sequence of each group is output; Obtain the current material weight in real time, find the group corresponding to the current material weight, and then obtain the concentration evaluation prediction sequence of the corresponding group. According to the concentration evaluation of the current material weight, determine the stop time of the mixer; The vibration frequency change index is: calculating the sum of the vibration frequencies of the mixer in the current set time period and the sum of the vibration frequencies of the mixer in the previous set time period, and calculating the ratio of the sum of the current set time period to the sum of the previous set time period; The speed change index is: according to the speed of the page turning at each sampling moment in the set time period, the acceleration of the page turning at each sampling moment is calculated to obtain the variance of the acceleration of the page turning in the set time period.

7. A method for controlling working parameters of a vibration machine and an electrical appliance according to claim 6, characterized in that: The loss function of the TCN network is: Among them, y t is the concentration evaluation representative value of the input group corresponding to the tth set time period, is the tth concentration evaluation prediction value in the concentration evaluation prediction sequence, C t is the weight of the loss function of the representative value of concentration evaluation of the input group in the tth set time period, and N is the total number of set time periods.

8. A method for controlling working parameters of a vibration machine and an electrical appliance according to claim 7, characterized in that: The weight is obtained by arbitrarily selecting one of the concentration evaluation representative values ​​in the input group, calculating the sum of the distances between the concentration evaluation representative value and the remaining other concentration evaluation representative values, and the sum of the distances is the weight of the concentration evaluation representative value.

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