A Method and System for Controlling the Rotation Speed of the Inner Liner of a Wet Washing Machine

Abstract

This application relates to the technical field of equipment operation control, and particularly to a method and system for controlling the rotation speed of the inner tank of a wet washing machine. The method includes: when the wet washing machine executes a specified clothing treatment task, obtaining a set of rotation speeds of the inner tank of the wet washing machine within a preset time period before the current moment; determining a first fluctuation value of the rotation speed according to the speed difference value between adjacent extreme points in the rotation speed set and the number of extreme points; obtaining the correlation coefficient between the motor power and the rotation speed of the wet washing machine at the current moment, and taking the product of the correlation coefficient and the first fluctuation value as a second fluctuation value; determining a target time interval for adjusting the motor power of the wet washing machine in the next time period of the current time period according to the second fluctuation value; and periodically adjusting the motor power of the wet washing machine according to the target time interval. Through the above technical solutions, the motor power of the wet washing machine can be better controlled to more accurately achieve the control of the rotation speed of the wet washing machine.

Description

Technical Field

[0001] This application relates to the technical field of equipment operation control, and particularly relates to a method and system for controlling the rotation speed of the inner tank of a wet washing machine. Background Art

[0002] A wet washing machine is a device used for washing clothes. The wet washing machine can fully mix the clothes, water, and detergent through mechanical agitation or drum rotation, so as to remove the stains on the clothes to be processed. When the washing program for the clothes to be processed is completed or the rinsing program is started as specified by the user, the wet washing machine can drain the sewage in the inner tank of the wet washing machine through the drain pipe, and inject clean water into the inner tank of the wet washing machine to rinse the clothes to be processed to remove the remaining detergent and stains on the clothes to be processed; the wet washing machine can also perform dehydration treatment on the clothes to be processed by rotation to reduce the time required for the clothes to be processed to dry.

[0003] In the related art, when controlling the wet washing machine to be in an operating state, the adjustment of the power of the motor is usually based on a preset program; for example, when the wet washing machine performs dehydration on clothes, it usually proceeds according to a preset rotation speed-time curve, and the rotation speed-time curve is used to characterize the rotation speed corresponding to different times after the start of the dehydration program of the wet washing machine.

[0004] However, when the wet washing machine works according to a preset rotation speed-time curve, it is difficult to adapt to different working scenarios. For example, after the wet washing machine executes the preset work task, it will affect the treatment effect of the clothes, which may accelerate the damage of the clothes or affect the dehydration effect of the clothes. Therefore, it is difficult for the related art to achieve good control over the rotation speed of the inner tank of the wet washing machine. Summary of the Invention

[0005] To overcome the problem that it is difficult to achieve good control over the rotation speed of the inner tank of the wet washing machine in the related art, this application provides a method and system for controlling the rotation speed of the inner tank of a wet washing machine.

[0006] An embodiment of the present application provides a method for controlling the rotation speed of the inner tank of a wet washing machine, including: when the wet washing machine executes a specified clothing treatment task, obtaining a set of rotation speeds of the inner tank of the wet washing machine within a preset time period before the current moment; determining extreme points in the set of rotation speeds, and determining a first fluctuation value of the rotation speed according to the speed difference value between adjacent extreme points in the set of rotation speeds and the number of extreme points; the first fluctuation value is used to characterize the fluctuation degree of the rotation speed within the preset time period; obtaining the correlation coefficient between the motor power of the wet washing machine and the rotation speed at the current moment, and taking the product of the correlation coefficient and the first fluctuation value as the second fluctuation value; determining a target time interval for adjusting the motor power of the wet washing machine in the next time period of the current time period according to the second fluctuation value; and periodically adjusting the motor power of the wet washing machine according to the target time interval to achieve control of the rotation speed of the inner tank of the wet washing machine.

[0007] In this way, the motor power of the wet washing machine is periodically adjusted according to the target time interval to achieve control of the rotation speed of the inner tank of the wet washing machine. Since the target time interval is determined according to the fluctuation degree of the rotation speed of the inner tank within the preset time period, and the determination process of the target time interval takes into account the correlation coefficient between the rotation speed and the motor power at the current moment, the motor power of the wet washing machine can be better controlled to more accurately achieve control of the rotation speed of the wet washing machine.

[0008] Optionally, the first fluctuation value of the rotation speed is determined by the following method: where M is the first fluctuation value, norm is the normalization function, P is the number of extreme points in the set of rotation speeds, is the first preset positive number, K is the variance of the difference between every two adjacent rotation speeds in the set of rotation speeds, is the second preset positive number, and are the (a + 1)-th and a-th extreme points in the set of rotation speeds in chronological order, respectively.

[0009] Optionally, the first fluctuation value of the rotation speed is determined by the following method: , where M is the first fluctuation value, norm is the normalization function, P is the number of extreme points in the set of rotation speeds, is the first preset positive number, Q is the information entropy of the rotation speeds in the set of rotation speeds, is the second preset positive number, a is a positive integer less than or equal to P; and are the (a + 1)-th and a-th extreme points in the set of rotation speeds in chronological order, respectively.

[0010] Optionally, the information entropy of the rotation speeds in the set of rotation speeds is determined by the following method: , where Q is the information entropy of the rotational speeds in the rotational speed set, B is the number of types of rotational speeds in the rotational speed set, is the proportion of the number of occurrences of the b-th rotational speed in the rotational speed set, and ln is the logarithmic function with the natural constant as the base.

[0011] Optionally, the correlation coefficient is determined by the following method: , where H is the correlation coefficient, G is the normalized result of the Pearson correlation coefficient between the motor power and the rotational speed of the wet washing machine within a preset time period, and exp is the exponential function with the natural constant as the base. is the interquartile range of the rotational speed within the preset time period, is the range of the rotational speed within the preset time period, is the interquartile range of the motor power within the preset time period, is the range of the motor power within the preset time period.

[0012] Optionally, the target time interval is determined by the following method: , where is the target time interval for adjusting the motor power of the inner tank, is the preset initial time interval, is the exponential function with the natural constant as the base, L is the second fluctuation value, is the floor operator.

[0013] Optionally, periodically adjusting the motor power of the wet washing machine according to the target time interval includes: obtaining the first moment when the motor power of the wet washing machine was last periodically adjusted, and adjusting the motor power of the wet washing machine when the current moment is at the second moment; the time duration between the second moment and the first moment is equal to the target time interval.

[0014] Optionally, adjusting the motor power of the wet washing machine includes: obtaining the load information of the inner tank of the wet washing machine and adjusting the motor power of the wet washing machine according to the load information.

[0015] Optionally, the specified clothing treatment task includes any one of a clothing dehydration task and a clothing uniform rinsing task.

[0016] According to the second aspect of the embodiments of the present application, a rotational speed control system for the inner tank of a wet washing machine is provided, including: a processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the steps of the wet washing machine inner tank rotational speed control method provided in the first aspect of the present application are implemented.

[0017] The technical solution provided by the embodiments of the present application may include the following beneficial effects: The motor power of the wet washing machine is periodically adjusted at a target time interval to control the rotation speed of the inner tank of the wet washing machine. Since the target time interval is determined at least according to the fluctuation degree of the rotation speed of the inner tank within a preset time period, the time interval for adjusting the power of the motor can be adaptively adjusted, taking into account both the processing efficiency and the processing effect of the wet washing machine on the clothes to be processed. Therefore, the motor power of the wet washing machine can be better controlled to more accurately control the rotation speed of the wet washing machine.

[0018] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. Brief Description of the Drawings

[0019] Figure 1 is a flowchart of a method for controlling the rotation speed of the inner tank of a wet washing machine shown according to an exemplary embodiment;

[0020] Figure 2 is a schematic structural diagram of a system for controlling the rotation speed of the inner tank of a wet washing machine shown according to an exemplary embodiment. Detailed Embodiments

[0021] First, a brief introduction to the application scenario of the embodiments of the present application is given. In the application scenario of the present application, to ensure the winding effect of the wet washing machine on the clothes to be processed, the motor power of the wet washing machine can be adjusted. However, currently, when adjusting the motor power of the wet washing machine, it is difficult for the adjusted motor power to make the clothes to be processed obtain a more matching rotation speed.

[0022] To solve the above technical problems, the embodiments of the present application provide a method for controlling the rotation speed of the inner tank of a wet washing machine, Figure 1 is a flowchart of a method for controlling the rotation speed of the inner tank of a wet washing machine shown according to an exemplary embodiment. As Figure 1 shown, the method includes the following steps.

[0023] In step S101, when the wet washing machine is performing a specified clothing processing task, a set of rotation speeds of the inner tank of the wet washing machine within a preset time period before the current moment is obtained.

[0024] For example, the rotation speed of the wet washing machine can be obtained through a speed sensor. The set of rotation speeds within the preset time period can include multiple rotation speeds corresponding to multiple moments within the preset time period of the wet washing machine. By obtaining the set of rotation speeds within the preset time period, it is helpful to analyze the state of the rotation speed of the wet washing machine; the duration of the preset time period can be set according to actual needs. For example, the duration of the preset time period can be between 10 seconds and 20 seconds.

[0025] The specified laundry treatment task may include any one of a laundry dehydration task and a uniform laundry rinsing task.

[0026] In step S102, the extreme points in the rotation speed set are determined, and according to the speed difference value between adjacent extreme points in the rotation speed set and the number of extreme points, the first fluctuation value of the rotation speed is determined.

[0027] The extreme points in the rotation speed set may be the rotation speed maximum points among the multiple rotation speeds included in the rotation speed set, or the extreme points may be the rotation speed minimum points among the multiple rotation speeds.

[0028] The speed difference value between adjacent extreme points may be the absolute value of the difference in rotation speed between adjacent extreme points; through the speed difference value between adjacent extreme points, the fluctuation degree of the rotation speed can be better characterized; for example, the greater the speed difference value between adjacent extreme points, the greater the possibility that the rotation speed fluctuates.

[0029] Or, the greater the speed difference value between adjacent extreme points, the greater the fluctuation degree of the rotation speed; on the contrary, the smaller the speed difference value between adjacent extreme points, the smaller the possibility that the rotation speed fluctuates; or, the smaller the speed difference value between adjacent extreme points, the smaller the fluctuation degree of the rotation speed.

[0030] The number of extreme points in the rotation speed set can better characterize the change frequency of the rotation speed within a preset time period, thereby characterizing the probability that the rotation speed of the inner tank of the wet washing machine is abnormal within the preset time period, or characterizing the fluctuation degree of the rotation speed within the preset time period; for example, the more the number of extreme points in the rotation speed set, the greater the change frequency of the rotation speed within the preset time period, the greater the fluctuation degree of the rotation speed within the preset time period, and the higher the probability that the rotation speed is abnormal within the preset time period.

[0031] In step S103, the correlation coefficient between the motor power and the rotation speed of the wet washing machine at the current moment is obtained, and the product of the correlation coefficient and the first fluctuation value is used as the second fluctuation value.

[0032] The motor power of the wet washing machine can affect the rotation speed of the inner tank for the laundry to be processed. For example, when the wet washing machine performs a laundry treatment task at different motor powers, the rotation speed at which the inner tank of the wet washing machine operates is different, so that the rotation speed at which the laundry to be processed located in the inner tank moves is different.

[0033] By obtaining the correlation coefficient between the motor power and the rotation speed of the wet washing machine at the current moment, the correlation coefficient is used to characterize the degree of association between the motor power and the rotation speed of the wet washing machine, and multiplying the correlation coefficient by the first fluctuation value to obtain the second fluctuation value can make the obtained second fluctuation value better characterize the fluctuation degree of the rotation speed.

[0034] Furthermore, the correlation coefficient can reflect the anomalies existing in the rotational speed. For example, since there is a certain correlation between the rotational speed and the motor power of the wet washing machine under normal circumstances, when the correlation degree between the rotational speed and the motor power of the wet washing machine is determined to be low based on the correlation coefficient, it indicates that there is a high probability that the rotational speed is abnormal; on the contrary, when the correlation degree between the rotational speed and the motor power of the wet washing machine is determined to be high based on the correlation coefficient, it indicates that there is a high probability that the rotational speed is not abnormal.

[0035] In step S104, the target time interval for adjusting the motor power of the wet washing machine in the next time period of the current time period is determined according to the second fluctuation value.

[0036] A PID (Proportional-Integral-Derivative) controller is a feedback loop controller. The PID controller realizes the control of the controlled variable by adjusting the specific values of the three PID parameters, namely the proportional parameter, the integral parameter, and the derivative parameter. The motor power of the wet washing machine can be controlled by the PID controller. The PID controller can be, for example, a device or module capable of realizing the control function.

[0037] PID control can be performed on the motor power of the wet washing machine to achieve periodic adjustment of the motor power of the wet washing machine. The function of the PID controller can be realized by the management system of the wet washing machine, or the PID controller can be integrated inside the wet washing machine to control the motor power of the wet washing machine through the PID controller set inside the wet washing machine. Or the PID controller can be set in a terminal device outside the wet washing machine, so that when the wet washing machine executes a specified clothing treatment task, the terminal device can control the motor power of the wet washing machine through the communication connection with the wet washing machine.

[0038] Among them, the proportional parameter determines the reaction of the controller to the magnitude of the current error. When there is a deviation between the current value and the target value of the controlled variable, the proportional parameter will affect the output of the controller to reduce the deviation between the current value and the target value.

[0039] The integral parameter is used to adjust the cumulative amount of historical errors. When the value of the integral parameter increases, the steady-state error of the object controlled by the PID controller (such as the wet washing machine) will decrease, but when the value of the integral parameter is too large, it may cause the response speed of the object controlled by the PID controller to slow down.

[0040] The differential parameter is used to adjust the target variable of the object controlled by the PID according to the rate of change of the error. The differential parameter can also predict the trend of the error. Among them, the differential parameter can be the differential time, and the integral parameter can be the integral time. When the differential time or the integral time is set appropriately, the stability and response speed of the object controlled by the PID controller can be improved. For example, when there is a disturbance, the object controlled by the PID controller can respond quickly, and when there is no disturbance to the object controlled by the PID controller, it can remain stable.

[0041] According to the second fluctuation value, the target time interval for adjusting the motor power of the washing machine in the next time period of the current time period can be determined; the second fluctuation value can characterize the fluctuation degree of the rotation speed of the washing machine within a preset time period.

[0042] The larger the second fluctuation value, the greater the fluctuation degree of the rotation speed of the washing machine within the preset time period, and a smaller time interval can be used to adjust the motor power of the washing machine, improving the frequency of adjusting the motor power of the washing machine and ensuring the control efficiency of the motor power.

[0043] On the contrary, the smaller the second fluctuation value, the smaller the fluctuation degree of the rotation speed of the washing machine within the preset time period, and a larger time interval can be used to adjust the motor power of the washing machine, reducing the frequency of adjusting the motor power of the washing machine. When ensuring the stable treatment state of the laundry to be processed by the washing machine, the number of times of adjusting the motor power can be reduced.

[0044] In step S105, the motor power of the washing machine is periodically adjusted according to the target time interval to control the rotation speed of the inner tank of the washing machine.

[0045] For example, periodically adjusting the motor power of the washing machine according to the target time interval includes: obtaining the first moment when the motor power of the washing machine was last periodically adjusted, and when the current moment is at the second moment, adjusting the motor power of the washing machine; the time duration between the second moment and the first moment is equal to the target time interval.

[0046] Adjusting the motor power of the washing machine may include: obtaining the load information of the laundry to be processed carried by the inner tank of the washing machine, and adjusting the motor power of the washing machine according to the load information.

[0047] For example, when the washing machine performs the laundry dehydration task on the laundry to be processed, as the water in the laundry to be processed is discharged, the load of the laundry to be processed carried by the inner tank of the washing machine gradually decreases and tends to be stable, and the motor power of the washing machine can be gradually reduced.

[0048] Alternatively, when the wet washing machine performs a laundry dehydration task on the laundry to be processed, the greater the weight of the laundry to be processed, the more water content the laundry to be processed usually has. To ensure the dehydration effect of the laundry to be processed, the motor power of the wet washing machine can be increased.

[0049] In one embodiment, the sampling duration parameter corresponding to the target time interval can also be adopted at the next moment of the current moment to obtain the rotation speed of the wet washing machine.

[0050] When the current moment is 12:00:00, the preset time period can be the time period from 11:59:00 to 11:59:59, and the next moment of the current moment can be 12:00:01.

[0051] For example, at the moment of 12:00:01, when the second fluctuation value indicates that the rotation speed fluctuates greatly, the parameter value of the time interval for adjusting the motor power can be reduced, and the adjustment frequency of the motor power can be increased. Correspondingly, the acquisition frequency of the rotation speed can be increased to strengthen the monitoring of the rotation speed of the wet washing machine.

[0052] When the second fluctuation value indicates that the rotation speed does not fluctuate greatly, the time interval for adjusting the motor power can be increased, and the adjustment frequency of the motor power can be reduced. Correspondingly, the acquisition frequency of the speed value can be reduced to reduce the data processing amount of the wet washing machine while ensuring the processing state of the wet washing machine for the laundry to be processed.

[0053] Through the wet washing machine inner tank rotation speed control method provided by the embodiments of the present application, the motor power of the wet washing machine is periodically adjusted according to the target time interval to control the rotation speed of the inner tank of the wet washing machine. Since the target time interval is determined according to the second fluctuation value, the second fluctuation value can reflect the fluctuation degree of the rotation speed within the preset time period, and the second fluctuation value takes into account the correlation coefficient of the rotation speed and the motor power at the current moment, which helps to better control the motor power of the wet washing machine and more accurately control the rotation speed of the wet washing machine.

[0054] In one embodiment, the first fluctuation value of the rotation speed is determined by the following method: Where M is the first fluctuation value, norm is the normalization function, P is the number of extreme points in the rotation speed set, is the first preset positive number, is the second preset positive number, and are the (a + 1)-th and a-th extreme points in the rotation speed set in chronological order, respectively.

[0055] For example, the absolute value of the difference in rotational speed between adjacent extreme points in the rotational speed set can characterize the degree of difference in rotational speed between adjacent extreme points. Due to the existence of extreme points, there may be a certain degree of fluctuation in rotational speed. The greater the degree of difference in rotational speed between adjacent extreme points, the higher the probability that the rotational speed fluctuates. By comparing the rotational speeds of multiple adjacent extreme points, the change amount of the rotational speed within a preset time period can be reflected as a whole.

[0056] Under normal circumstances, the sum of multiple speed difference values is a value greater than or equal to 0. The first preset positive number can be a positive number between 0 and 1. Here, there may be no extreme points in the rotational speed set. For example, the rotational speed is the same within a certain time period. Due to the existence of the first preset positive number, it can avoid the situation where the entire term becomes 0 when one of the values participating in the multiplication operation is 0 during subsequent multiplication of parameters, ensuring that the parameters participating in the multiplication operation fully play their roles.

[0057] The number of extreme points in the rotational speed set can characterize the frequency of rotational speed fluctuations within a preset time period. Adding the number of extreme points to the second preset positive number to obtain the second sum value can avoid considering possible abnormalities in motor power when the number of extreme points is 0, so that the first fluctuation value can better characterize the abnormalities existing in the rotational speed. The second preset positive number can be, for example, between 0 and 1.

[0058] In this way, the first fluctuation value is determined by comparing the rotational speeds of adjacent extreme points in the rotational speed set. The difference in rotational speed between adjacent extreme points in the rotational speed set can characterize the fluctuation amplitude of the rotational speed within a preset time period, and the number of extreme points can characterize the fluctuation frequency of the rotational speed within a preset time period. Therefore, the first fluctuation value can better characterize the degree of fluctuation of the rotational speed within a preset time period, or the first fluctuation value can better characterize the probability of abnormalities existing in the rotational speed within a preset time period.

[0059] In one embodiment, the first fluctuation value of the rotational speed is determined in the following manner: where M is the first fluctuation value, norm is the normalization function, P is the number of extreme points in the rotational speed set, is the first preset positive number, K is the variance of the differences between every two adjacent rotational speeds in the rotational speed set, is the second preset positive number, and are respectively the (a + 1)-th and a-th extreme points in the rotational speed set in chronological order.

[0060] The difference between two adjacent rotational speeds in the rotational speed set can reflect the change rate of the rotational speed between two adjacent moments. The variance of the differences between every two adjacent rotational speeds in the rotational speed set can characterize the degree of fluctuation of the change rate of the rotational speed.

[0061] The greater the degree of fluctuation of the change rate of the rotational speed, the more the rotational speed tends to change non-linearly. For example, the rotational speed fluctuates slightly up and down within a preset time period. On the contrary, the smaller the degree of fluctuation of the change rate of the rotational speed, the more the rotational speed tends to change linearly. For example, the rotational speed increases at the same growth rate per second.

[0062] When the wet washing machine is not abnormal, it is difficult for the rotational speed to increase linearly. Therefore, the variance of the difference between every two adjacent rotational speeds in the rotational speed set can characterize the possible abnormality of the rotational speed, or can characterize the degree of fluctuation of the rotational speed within a preset time period.

[0063] In this way, since the difference in rotational speed between the latter moment and the former moment can reflect the change rate of the rotational speed, the variance of the difference between every two adjacent rotational speeds in the rotational speed set can characterize the degree of change of the change rate of the rotational speed, making the first fluctuation value better able to characterize the degree of fluctuation of the rotational speed within a preset time period.

[0064] In one embodiment, the first fluctuation value of the rotational speed is determined by the following method: , where M is the first fluctuation value, norm is the normalization function, P is the number of extreme points in the rotational speed set, is the first preset positive number, Q is the information entropy of the rotational speeds in the rotational speed set, is the second preset positive number, a is a positive integer less than or equal to P; and are respectively the (a + 1)-th and the a-th extreme points in the rotational speed set in chronological order.

[0065] The information entropy is usually used to represent the amount of information contained in a data set; among them, the greater the information entropy, the higher the complexity of the data situation in the data set; on the contrary, the smaller the information entropy, the lower the complexity of the data situation in the data set.

[0066] The information entropy of the rotational speeds in the rotational speed set can be determined according to the frequencies of the rotational speeds with different values in the rotational speed set. For example, the rotational speed set may contain a total of 5 rotational speeds with different values, namely A1, A2, A3, A4, and A5. According to the frequencies of A1, A2, A3, A4, and A5 respectively in the rotational speed set, the information entropy of the rotational speeds in the rotational speed set can be determined.

[0067] Under normal circumstances, the rotational speed is within the target speed range. For example, the target speed range can be from 800 revolutions per minute to 100 revolutions per minute. The target speed ranges corresponding to different wet washing machines or when processing different types of clothes are different, and the embodiments of the present application do not limit this.

[0068] During the same period of time, the types of rotational speeds are limited. Since the information entropy of the rotational speed can characterize the complexity of the rotational speed within a preset time period, the larger the information entropy of the rotational speed, at least it indicates that the types of the numerical values of the rotational speed within the preset time period are more, and there is a higher probability that the rotational speed is abnormal, or the degree of fluctuation of the rotational speed is greater; on the contrary, the smaller the information entropy of the rotational speed, at least it indicates that the types of the numerical values of the rotational speed within the preset time period are fewer, and there is a higher probability that the rotational speed is not abnormal, or the degree of fluctuation of the rotational speed is smaller.

[0069] In this way, the first fluctuation value is determined according to the information entropy of the rotational speeds in the rotational speed set. Since the information entropy can characterize the complexity of the types of the numerical values of the rotational speed within a preset time period, and the first fluctuation value combines the number of extreme points and the speed difference value between adjacent extreme points, the first fluctuation value can characterize the degree of fluctuation of the rotational speed within a preset time period from multiple dimensions, so that the first fluctuation value can better characterize the degree of fluctuation of the rotational speed within the target time.

[0070] In one embodiment, the information entropy of the rotational speeds in the rotational speed set is determined by the following method: , where Q is the information entropy of the rotational speeds in the rotational speed set, B is the number of types of rotational speeds in the rotational speed set, is the proportion of the number of occurrences of the b-th rotational speed in the rotational speed set, and ln is the logarithmic function with the natural constant as the base.

[0071] The proportion of the number of occurrences of the rotational speeds in the rotational speed set is between 0 and 1, making the calculation result of the logarithmic function negative. The negative sign in the calculation formula of the information entropy of the rotational speed can ensure that the value of the information entropy is positive.

[0072] In this way, through the proportion of the number of occurrences of different rotational speeds in different rotational speed sets, the complexity of the rotational speeds in the rotational speed set can be better reflected, so as to characterize the degree of fluctuation of the rotational speed of the wet washing machine for the clothes to be processed through the information entropy of the rotational speed.

[0073] In the embodiment of the present application, the variance between every two adjacent rotational speeds in the rotational speed set, the information entropy of the rotational speeds in the speed set, the speed difference value between adjacent extreme points in the rotational speed set, and the number of extreme points can also be combined to determine the first fluctuation value, so as to better characterize the degree of fluctuation of the rotational speed within a preset time period through the first fluctuation value, which will not be elaborated here.

[0074] In one embodiment, the correlation coefficient between the motor power of the wet washing machine and the rotational speed at the current moment is determined by the following method: , where H is the correlation coefficient, G is the normalized result of the Pearson correlation coefficient between the motor power of the wet washing machine and the rotational speed within a preset time period, exp is the exponential function with the natural constant as the base, is the interquartile range of the rotational speed within the preset time period, is the range of rotational speeds within the preset time period, is the interquartile range of the motor power within the preset time period, is the range of the motor power within the preset time period.

[0075] The interquartile range can be used to describe the dispersion degree of a set of data distributions. The interquartile range can reflect the fluctuation of the middle 50% of the data after the data set is sorted by size; the interquartile range is equal to the difference between the upper quartile and the lower quartile; among them, the upper quartile refers to the value at the 75% position after the data set is sorted from small to large; the lower quartile refers to the value at the 25% position after the data set is sorted from small to large. The range of the data points in the data set is equal to the difference between the largest and the smallest values in the data set.

[0076] Here, since both the interquartile range and the range are determined in the same data set, the ratio of the quartile to the range is a dimensionless value, which is convenient for comparing the rotational speed and the motor power within the preset time period after eliminating the two.

[0077] By normalizing the Pearson correlation coefficient of the motor power and the rotational speed of the wet washing machine within the preset time period, for example, normalizing the Pearson correlation coefficient to the range of 0 to 1 and considering the normalized Pearson correlation coefficient in the correlation coefficient, the situation of the motor power set and the rotational speed set within the same time period can be further considered to determine a more accurate correlation coefficient between the motor power and the rotational speed at the current moment.

[0078] In one embodiment, the target time interval is determined by the following method: , where is the target time interval for adjusting the motor power of the inner tank, is the preset initial time interval, is the exponential function with the natural constant as the base, L is the second fluctuation value, is the floor operator.

[0079] Through the exponential operation of the exponential function on the second fluctuation value and multiplying the reciprocal of the second exponential operation value by the initial time interval, not only can the normalization processing of the second fluctuation value be realized, but also when the fluctuation degree represented by the second fluctuation value is larger, the target time interval can be made smaller; or when the fluctuation degree represented by the second fluctuation value is smaller, the target time interval can be made larger.

[0080] The preset initial time interval can be, for example, between 1 second and 6 seconds, for example, adjusting the motor power every 3 seconds.

[0081] Figure 2It is a schematic structural diagram of an inner tank rotation speed control system 1000 of a wet washing machine shown according to an exemplary embodiment. Refer to Figure 2 , the inner tank rotation speed control system 1000 of the wet washing machine includes: a processor 1100 and a memory 1200, and the memory 1200 stores computer program instructions, and when the computer program instructions are executed by the processor 1100, all steps or part of the steps of the inner tank rotation speed control method in the present application are implemented.

[0082] After considering the specification and practicing the invention disclosed herein, those skilled in the art will readily conceive of other embodiments of the present application. The present application is intended to cover any variations, uses, or adaptations of the present application, which follow the general principles of the present application and include known common general knowledge or conventional technical means in the technical field not disclosed in the present application. The specification and embodiments are only regarded as exemplary.

[0083] It should be understood that the present application is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope.

Claims

1. A method for controlling the rotation speed of the inner tank of a wet washing machine, characterized in that, Including: When the wet washing machine executes a specified clothing treatment task, obtain the rotation speed set of the inner tank of the wet washing machine within a preset time period before the current moment; Determine the extreme points in the rotation speed set, and determine the first fluctuation value of the rotation speed according to the speed difference value between adjacent extreme points in the rotation speed set and the number of extreme points; The first fluctuation value is used to characterize the fluctuation degree of the rotation speed within the preset time period; Obtain the correlation coefficient between the motor power of the wet washing machine and the rotation speed at the current moment, and take the product of the correlation coefficient and the first fluctuation value as the second fluctuation value; Determine the target time interval for adjusting the motor power of the wet washing machine in the next time period of the current time period in the following manner: , is the target time interval for adjusting the motor power of the inner tank, is the preset initial time interval, is the exponential function with the natural constant as the base, L is the second fluctuation value, is the floor operator; Periodically adjust the motor power of the wet washing machine according to the target time interval to control the rotation speed of the inner tank of the wet washing machine; Periodically adjusting the motor power of the wet washing machine according to the target time interval includes: obtaining the first moment when the motor power of the wet washing machine was periodically adjusted last time, and adjusting the motor power of the wet washing machine when the current moment is at the second moment; the time duration between the second moment and the first moment is equal to the target time interval; Adjusting the motor power of the wet washing machine includes: obtaining the load information of the laundry to be processed carried by the inner tank of the wet washing machine, and adjusting the motor power of the wet washing machine according to the load information.

2. The method for controlling the inner tank rotation speed of the wet washing machine according to claim 1, characterized in that, The first fluctuation value of the rotation speed is determined by the following method: , where M is the first fluctuation value, norm is the normalization function, P is the number of extreme points in the rotational speed set, is the first preset positive number, and K is the variance of the differences between every two adjacent rotational speeds in the rotational speed set, is the second preset positive number, and are respectively the (a + 1)-th and a-th extreme points in the rotational speed set in chronological order.

3. The wet washing machine inner tank rotation speed control method according to claim 1, characterized in that, The first fluctuation value of the rotation speed is determined by the following method: , where M is the first fluctuation value, norm is the normalization function, P is the number of extreme points in the rotational speed set, is the first preset positive number, Q is the information entropy of the rotational speeds in the rotational speed set, is the second preset positive number, and a is a positive integer less than or equal to P; and are respectively the (a + 1)-th and a-th extreme points in the rotational speed set in chronological order.

4. The method for controlling the rotation speed of the inner tank of the wet washing machine according to claim 3, wherein The information entropy of the rotation speed in the rotation speed set is determined by the following method: , where Q is the information entropy of the rotational speeds in the rotational speed set, B is the number of types of rotational speeds in the rotational speed set, is the proportion of the number of occurrences of the b-th type of rotational speed in the rotational speed set, and ln is the logarithmic function with the natural constant as the base.

5. The wet washer inner tank rotation speed control method according to claim 1, characterized in that The correlation coefficient is determined by the following method: , where H is the correlation coefficient, G is the normalized result of the Pearson correlation coefficient of the motor power and rotation speed of the wet washing machine within a preset time period, exp is the exponential function with the natural constant as the base, is the interquartile range of the rotation speed within the preset time period, is the range of the rotation speed within the preset time period, is the interquartile range of the motor power within the preset time period, is the range of the motor power within the preset time period.

6. The method for controlling the inner tank rotation speed of a wet washing machine according to any one of claims 1-5, characterized in that, The specified clothing treatment task includes any one of a clothing dehydration task and a clothing uniform rinsing task.

7. A speed control system for the inner tank of a wet washing machine, characterized in that, Including: A processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the rotation speed control method of the inner tank of the wet washing machine according to any one of claims 1-6 is implemented.

Images