Dewatering acceleration value acquisition method, washing machine control method, washing machine and medium

Abstract

The invention discloses a dewatering acceleration value obtaining method, a washing machine control method, a washing machine and a medium, and the method comprises the steps: obtaining a current water level value and a target water level value in a barrel in a current round of drainage process, and obtaining a water level deviation value based on the current water level value and the target water level value; determining a water level change rate value according to the front and back water level deviation values; fuzzification is carried out, fuzzy values of the current water level value and the water level change rate value are determined and mapped to a fuzzy domain, and a fuzzy linguistic quantity is obtained; based on the fuzzy linguistic quantities of the water level deviation value and the water level change rate value, obtaining the fuzzy linguistic quantity of the dehydration acceleration; and performing defuzzification by using the obtained fuzzy language quantity of the dehydration acceleration to obtain a dehydration acceleration value. According to the invention, the increase of the rotating speed is fuzzily controlled through the water level, the water outlet rate of clothes is basically equivalent to the drainage rate of the pump in the dewatering process, the pump can work in a full water state to the greatest extent, and the starting and stopping times of the pump are reduced, so that noise and dewatering with water are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of dehydration of washing machines, and in particular to a dehydration acceleration value acquisition method, a washing machine control method, a washing machine and a medium. Background Art

[0002] During the dehydration process of the upper drainage structure washing machine, the drainage pump is its core component, and its operating status is directly related to the dehydration efficiency and noise control. During the dehydration process, the drainage pump is not only responsible for efficiently draining the water in the washing tub, but also needs to ensure that the process is smooth and low-noise. However, the noise problem of traditional non-variable frequency drainage pumps during startup and half-water state has always been the focus of user feedback.

[0003] Specifically, the first working mode, that is, the drainage pump drains water according to a fixed sequence, is simple to operate but lacks flexibility. In this mode, the drainage pump may start without fully understanding the actual amount of water in the washing tub, causing it to work in a semi-water state, which in turn generates large mechanical noise and vibration. In addition, if the water level is not accurately judged, the clothes may not be fully dehydrated before entering the next stage, which is the "water-carrying dehydration" phenomenon, affecting the washing effect and user experience.

[0004] In contrast, the second method of controlling the start and stop of the drainage pump by real-time monitoring of the water level is undoubtedly an improvement. It can effectively avoid the noise and water-carrying problems caused by half-water operation in the first method, making the dehydration process more accurate and efficient. However, this method is not perfect. A single water level judgment threshold setting may cause the drainage pump to start and stop frequently, especially when the water level is close to the preset threshold. Small water level fluctuations may trigger the start of the drainage pump, resulting in more intensive startup noise, affecting the user's home environment.

[0005] The shortcomings of the existing technology are that the first one will have a lot of starting noise and half-water working noise of the drainage pump, and may also cause water to drain; the second one can avoid the half-water working noise and water to drain in the first solution, but the single water level judgment threshold will produce more frequent starting noise. Summary of the invention

[0006] The purpose of the present invention is to overcome the shortcomings of the prior art. To achieve the above purpose, a dehydration acceleration value acquisition method, a washing machine control method, a washing machine and a medium are adopted to solve the problems raised in the above background technology.

[0007] In a first aspect, the present application provides a method for obtaining a dehydration acceleration value, comprising the following steps:

[0008] Obtaining the current water level value and the target water level value in the bucket during the current round of drainage, and obtaining the water level deviation value based on the current water level value and the target water level value;

[0009] Determine the water level change rate value according to the water level deviation value in the previous round of drainage and the water level deviation value in the current round;

[0010] Based on the water level deviation value and the water level change rate value, fuzzification is performed to determine the fuzzy values ​​of the current water level value and the water level change rate value, and the fuzzy values ​​are mapped to the fuzzy domain to obtain the fuzzy language quantities of the current water level value and the water level change rate value;

[0011] Based on the fuzzy language quantities of the water level deviation value and the water level change rate value, obtaining the fuzzy language quantity of the dehydration acceleration;

[0012] The obtained fuzzy language quantity of dehydration acceleration is used for defuzzification to obtain the dehydration acceleration value.

[0013] As a further technical solution of the present invention: the operation of obtaining the current water level value and the target water level value in the bucket during the current round of drainage, and obtaining the water level deviation value based on the current water level value and the target water level value, includes:

[0014] Perform water level detection during each round of drainage to obtain the current water level value and target water level value in the bucket during each round of drainage;

[0015] The water level deviation value is determined as the difference between the current water level value and the target water level value during each round of drainage.

[0016] As a further technical solution of the present invention: the operation of determining the water level change rate value according to the water level deviation value in the previous round of drainage process and the water level deviation value in the current round includes:

[0017] While obtaining the current water level deviation value in the current drainage process, obtain the water level deviation value in the previous drainage process;

[0018] The water level change rate value is determined as the difference between the water level deviation value of the current round and the water level deviation value of the previous round in two adjacent rounds of drainage.

[0019] As a further technical solution of the present invention: the operation of performing fuzzification based on the current water level deviation value and the water level change rate value, determining the fuzzy values ​​of the current water level value and the water level change rate value, and mapping them to the fuzzy domain to obtain the fuzzy language quantity of the current water level value and the water level change rate value includes:

[0020] Determine a water level deviation value based on a difference between the current water level value and the target water level value;

[0021] Determine the water level change rate value based on the difference between the water level deviation value of the current round and the water level deviation value of the previous round in the two adjacent rounds of drainage;

[0022] After determining the water level deviation value and the water level change rate value, determining the fuzzy values ​​of the water level deviation value and the water level change rate value through a mapping relationship function; and

[0023] The scope of the fuzzy domain is determined by the water level deviation value and the water level change rate value;

[0024] Based on the fuzzy value obtained by mapping, the fuzzy language quantity of the water level deviation value and the water level change rate value in the fuzzy domain is obtained.

[0025] As a further technical solution of the present invention: the fuzzy values ​​of the water level deviation value and the water level change rate value are obtained through a mapping relationship function, and the fuzzy language quantity is obtained through a fuzzy membership function or a table lookup;

[0026] The mapping relationship function is:

[0027] H = -2 + k*(h - h0);

[0028] k = [2 - (-2)] / (max - min);

[0029] Among them, H represents the fuzzy value of the water level deviation value or the water level change rate value; h and h0 represent the current water level value and the target water level value, or the water level deviation value of the previous round and the water level deviation value of the current round respectively; max and min represent the maximum and minimum values ​​of the water level deviation value, or the maximum and minimum values ​​of the water level change rate value respectively; k represents the slope;

[0030] The fuzzy membership function is:

[0031]

[0032] Among them, PB, PS, O, NS, and NB are fuzzy language quantities, and PB and NB represent the highest and lowest levels of the fuzzy domain.

[0033] According to the fuzzy language quantities PB, PS, O, NS, and the highest membership value of NB, the fuzzy language quantities of the current water level deviation value and the water level change rate value are determined.

[0034] As a further technical solution of the present invention: the operation of obtaining the fuzzy language quantity of dehydration acceleration based on the fuzzy language quantity of the water level deviation value and the water level change rate value includes:

[0035] Based on the fuzzy language quantity of determining the current water level deviation value and the water level change rate value, the fuzzy language quantity of the dehydration acceleration value is obtained through a fuzzy control quantity function or a table lookup;

[0036] The fuzzy control quantity function is:

[0037] U = -[α × E + (1 - α) × Ec];

[0038]

[0039] Among them, U is the fuzzy language quantity of dehydration acceleration, E and Ec are the fuzzy language quantities of the current water level deviation value and water level change rate value, α, α s , α0 are coefficients, and N is the maximum value of the fuzzy level.

[0040] As a further technical solution of the present invention: the operation of defuzzifying the obtained fuzzy language quantity of dehydration acceleration to obtain the dehydration acceleration value includes:

[0041] Based on the obtained fuzzy language quantity of dehydration acceleration, defuzzification is performed through a defuzzification function to obtain a dehydration acceleration value;

[0042] The defuzzification function is:

[0043] a=a_min+[U-(-2)]*(a_max-a_min) / [2-(-2)];

[0044] Among them, a is the dehydration acceleration value, U is the fuzzy language quantity of the dehydration acceleration, a_max is the maximum value of the dehydration acceleration value, and a_min is the minimum value of the dehydration acceleration value.

[0045] In a second aspect, the present application provides a washing machine control method, comprising:

[0046] The washing machine drainage control is performed based on the dehydration acceleration value, wherein the dehydration acceleration value is obtained based on the dehydration acceleration value acquisition method described in any one of the above schemes.

[0047] In a third aspect, the present application provides a washing machine, which uses the above-mentioned washing machine control method to perform drainage control.

[0048] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for obtaining a dehydration acceleration value as described in any of the above schemes.

[0049] Compared with the prior art, the present invention has the following technical effects:

[0050] By adopting the above technical solution, according to the current water level value and the target water level value in the tub during the drainage process, the fuzzy language quantity of the current water level value and the water level change rate value is obtained through fuzzification, and the dehydration acceleration value is obtained by calculation using the fuzzy language quantity and then defuzzification. In this way, it is ensured that the water discharge rate of the clothes and the drainage rate of the pump are basically the same during the dehydration and drainage process, which can make the drainage pump work in the full water state to the greatest extent and reduce the number of pump starts and stops, thereby avoiding the startup noise of the washing machine and the pump body and the half-water working noise. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings:

[0052] Figure 1 A schematic diagram of the steps of a method for obtaining a dehydration acceleration value according to an embodiment disclosed in the present application;

[0053] Figure 2 A flowchart of the dehydration and drainage process of a washing machine according to an embodiment disclosed in the present application;

[0054] Figure 3 It is a line diagram of the fuzzy membership function of the embodiment disclosed in the present application. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Please refer to Figure 1 and Figure 2 In a first aspect, the present application provides a method for obtaining a dehydration acceleration value of a clothing drainage device, which can be applied to a control panel of the clothing drainage device, wherein the clothing drainage device is a clothing drainage device having a drainage pump body and a rotating inner barrel, such as a drainage pump of a drum washing machine and a pulsator washing machine. The method comprises the following steps S1-S5:

[0057] Step S1, obtaining the current water level value and the target water level value in the bucket during the current round of drainage, and obtaining the water level deviation value based on the current water level value and the target water level value.

[0058] First of all, it should be noted that in this application, a preset sensing device, such as a water level sensor preset in a drum washing machine, is required to record and detect the current water level value during each round of drainage, and a target water level value needs to be set, wherein the specific target water level value should be 0, but it can also be reset according to the actual drainage situation;

[0059] At the same time, in order to achieve the final working goal of dehydrating and draining clothes, it is necessary to obtain the difference between the current water level value and the target water level value in each round of dehydrating and draining clothes; specifically, it may also include:

[0060] Perform water level detection during each round of drainage to obtain the current water level value and target water level value in the bucket during each round of drainage;

[0061] The water level deviation value is determined as the difference between the current water level value and the target water level value during each round of drainage.

[0062] For example, accurate water level detection is performed during each round of drainage. Through sensor technology or visual recognition system, we can obtain the current water level value in the bucket in real time during each round of drainage. At the same time, a target water level value is preset or received. Once the current water level value and the target water level value are accurately recorded, the water level deviation value is obtained by calculating the difference between the current water level value and the target water level value during each round of drainage, which is used as the water level deviation value for the current round.

[0063] Step S2: Determine the water level change rate value according to the water level deviation value in the previous round of drainage and the water level deviation value in the current round.

[0064] First of all, it should be noted that the water level deviation value is obtained by the difference between the water level value of the current round and the target water level value in each round of dehydration and drainage, and the water level change rate value is determined based on the two water level deviation values.

[0065] The operation of determining the water level change rate value according to the water level deviation value in the previous round of drainage process and the water level deviation value in the current round obtained in step S1 includes:

[0066] In this embodiment, the above step S2 may be:

[0067] While obtaining the current water level deviation value in the current drainage process, obtain the water level deviation value in the previous drainage process;

[0068] The water level change rate value is determined as the difference between the water level deviation value of the current round and the water level deviation value of the previous round in two adjacent rounds of drainage.

[0069] It can be understood that every time the washing machine enters a new round of drainage, the water level deviation value of the current round will be immediately obtained, that is, the difference between the current actual water level value and the preset target water level value at the end of dehydration. At the same time, the water level deviation value recorded at the end of the previous round of drainage will be retrieved and referenced. Subsequently, the difference between the two water level deviation values ​​in the two adjacent drainage processes is calculated, that is, the water level change rate.

[0070] Step S3, fuzzifying the water level deviation value and the water level change rate value, determining the fuzzy values ​​of the current water level value and the water level change rate value, and mapping them to the fuzzy domain to obtain the fuzzy language quantities of the current water level value and the water level change rate value.

[0071] It should be noted that the water level deviation value and the water level change rate value are both obtained by performing multiple rounds of drainage detection on the basis of steps S1 and S2, and the water level deviation value and the water level change rate value are obtained by performing multiple rounds of drainage detection on the basis of steps S1 and S2;

[0072] In this embodiment, according to the water level deviation value and water level change rate value obtained in the above steps S1 and S2, through fuzzy processing technology, we can convert the actual measured precise value into fuzzy quantities of different levels and map them to multiple domains. This conversion enables the control system to operate according to a wider and more flexible parameter range, rather than relying solely on precise numerical points. The more detailed the division of the domain level, the richer the state changes that the system can identify, thereby achieving more precise control of the controlled object. For example, in the dehydration and drainage process of the washing machine, the continuously changing water level height is divided into multiple fuzzy domains, such as "low water level", "normal water level", "high water level" and even more detailed "extremely low water level", "low water level", "normal water level", "high water level", "extremely high water level", etc., which can significantly improve the system's sensitivity and response speed to different water level states.

[0073] As an optional implementation scheme, the above step S3 may include:

[0074] Determine a water level deviation value based on a difference between the current water level value and the target water level value;

[0075] Determine the water level change rate value based on the difference between the water level deviation value of the current round and the water level deviation value of the previous round in the two adjacent rounds of drainage;

[0076] In this embodiment, the water level deviation value is determined by obtaining the difference between the current water level value and the target water level value, and then the water level change rate value is calculated by using the two water level deviation values ​​in two adjacent drainage processes.

[0077] After determining the water level deviation value and the water level change rate value, determining the fuzzy values ​​of the water level deviation value and the water level change rate value through a mapping relationship function;

[0078] As another implementation method, the fuzzy values ​​of the water level deviation value and the water level change rate value can be obtained through a mapping relationship function, and the mapping relationship function is:

[0079] H = -2 + k*(h - h0);

[0080] k = [2 - (-2)] / (max - min);

[0081] Among them, H represents the fuzzy value of the water level deviation value or the water level change rate value; h and h0 represent the current water level value and the target water level value, or the water level deviation value of the previous round and the water level deviation value of the current round respectively; max and min represent the maximum and minimum values ​​of the water level deviation value, or the maximum and minimum values ​​of the water level change rate value respectively; k represents the slope;

[0082] In this embodiment, the obtained water level deviation value and water level change rate value can be substituted into the mapping relationship function to obtain the fuzzy value H of the water level deviation value e and the water level change rate value ec;

[0083] As an optional implementation scheme, the above step S3 further includes:

[0084] The scope of the fuzzy domain is determined by the water level deviation value and the water level change rate value;

[0085] Based on the fuzzy value obtained by mapping, the fuzzy language quantity of the water level deviation value and the water level change rate value in the fuzzy domain is obtained.

[0086] It should be noted that the scope of the fuzzy domain is determined by the water level deviation value and the water level change rate value, that is, the corresponding fuzzy value H is obtained according to the water level deviation value and the water level change rate value according to the above-mentioned mapping relationship function, and then the range of the fuzzy value H is determined, and finally the fuzzy language quantity of the water level deviation value and the water level change rate value is obtained.

[0087] As another implementation method, the fuzzy language quantity is expressed by a fuzzy membership function, which is:

[0088]

[0089] Among them, PB, PS, O, NS, and NB are fuzzy language quantities, and PB and NB represent the highest and lowest levels of the fuzzy domain.

[0090] According to the fuzzy language quantities PB, PS, O, NS, and the highest membership value of NB, the fuzzy language quantities of the current water level deviation value and the water level change rate value are determined.

[0091] As shown in Table 1 below, it is represented as a domain gear table;

[0092] Domain Description Domain language variables Gear position indication Very low water level NB -2 Low level NS -1 Water level normal 0 0 High level PS 1 Extremely high water level PB 2

[0093] Table 1

[0094] In this embodiment, the current water level h1 is obtained through the mapping relationship (h_max: 2h_min: -2), and the fuzzy value H0 of the current water level deviation value is -1.8;

[0095] According to the fuzzy membership function, it should be noted that different membership functions can also be selected. In the embodiment of the present application, a triangular membership function is selected, such as Figure 3 As shown, the figure is a line diagram of the fuzzy membership function. The fuzzy value of the water level deviation value belongs to NB with a probability of 0.75 and belongs to NS with a probability of 0.25.

[0096] Since the NB probability of 0.75 is greater than the NS probability of 0.25, the fuzzy language quantity of the current water level deviation value is NB, which is -2 level.

[0097] Based on the above steps, it can be understood that the fuzzy language quantity of the water level change rate value can also be obtained;

[0098] As shown in Tables 2 and 3 below, Table 2 is a fuzzy language quantity level table for water level deviation values, and Table 3 is a fuzzy language quantity level table for water level change rate values;

[0099]

[0100] Step S4: obtaining the fuzzy language quantity of dehydration acceleration based on the fuzzy language quantity of the water level deviation value and the water level change rate value.

[0101] In this embodiment, based on the fuzzy language quantities of the water level deviation value and the water level change rate value obtained in step S3, the fuzzy language quantity of the dehydration acceleration is obtained, which may include:

[0102] Based on the fuzzy language quantity of determining the current water level deviation value and the water level change rate value, the fuzzy language quantity of the dehydration acceleration value is obtained through the fuzzy control quantity function;

[0103] As another implementation method, the fuzzy control quantity function is:

[0104] U = -[α × E + (1 - α) × Ec];

[0105]

[0106] Among them, U is the fuzzy language quantity of dehydration acceleration, E and Ec are the fuzzy language quantities of the current water level deviation value and water level change rate value, α, α s , α0 are coefficients, and N is the maximum value of the fuzzy level.

[0107] In this embodiment, the fuzzy language quantity E and Ec of the current water level deviation value and the water level change rate value are obtained; the fuzzy language quantity U of the dehydration acceleration value is obtained by calculation using the fuzzy control quantity function;

[0108] It should be noted that the fuzzy control quantity function can also be used to perform calculations to obtain a fuzzy control quantity scale, as shown in Table 4 below, which is expressed as a fuzzy control quantity scale;

[0109]

[0110] Table 4

[0111] Step S5, using the obtained fuzzy language quantity of dehydration acceleration to perform defuzzification to obtain a dehydration acceleration value, may include:

[0112] It should be noted that, based on the fuzzy language quantity U of the dehydration acceleration value obtained in step S4, a defuzzification operation may be performed on the fuzzy language quantity U to obtain the dehydration acceleration value a.

[0113] Based on the obtained fuzzy language quantity of dehydration acceleration, defuzzification is performed through a defuzzification function to obtain a dehydration acceleration value;

[0114] As another implementation, the defuzzification function is:

[0115] a=a_min+[U-(-2)]*(a_max-a_min) / [2-(-2)];

[0116] Among them, a is the dehydration acceleration value, U is the fuzzy language quantity of the dehydration acceleration, a_max is the maximum value of the dehydration acceleration value, and a_min is the minimum value of the dehydration acceleration value.

[0117] It should be noted that the various parameters in the defuzzification function can be reset according to the actual operation of the washing machine. For example, the minimum dehydration acceleration value set in this embodiment is: a_min=2rpm / s, and the maximum dehydration acceleration value is: a_max=20rpm / s.

[0118] In this embodiment, the fuzzy language quantity U of the dehydration acceleration is obtained and substituted into the defuzzification function to finally obtain the dehydration acceleration value a of this round of dehydration and drainage of the washing machine.

[0119] The speed of the drainage pump is controlled according to the dehydration acceleration value a to ensure that the drying efficiency of the clothes is basically consistent with the drainage capacity of the pump during the dehydration and drainage process, so that the pump can operate efficiently at a state close to full load and significantly reduce the number of starts and stops of the pump. This measure effectively avoids the noise generated during startup and the noise of the pump working in a semi-water state, and also prevents the phenomenon of clothes being dehydrated due to insufficient water discharge.

[0120] In a second aspect, the present application provides a washing machine control method, comprising:

[0121] The washing machine drainage control is performed based on the dehydration acceleration value, wherein the dehydration acceleration value is obtained based on the dehydration acceleration value acquisition method described in any one of the above schemes.

[0122] It should be noted that, based on the above dehydration acceleration value, the clothing drainage device can perform dehydration control according to the existing dehydration control method, and the specific means will not be repeated.

[0123] In a third aspect, the present application provides a washing machine, which uses the above-mentioned washing machine control method to perform drainage control.

[0124] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for obtaining a dehydration acceleration value as described in any of the above schemes.

[0125] In the specific implementation steps, the dehydration acceleration value acquisition method described above is used as a program to implement the dehydration acceleration value acquisition method described above. By running this program, the speed increase can be automatically fuzzy controlled according to the change of water level to ensure that the water discharge rate of the clothes and the drainage rate of the pump are basically the same during the dehydration process. This design allows the drainage pump to work in a full water state to the greatest extent and reduce the number of pump starts and stops, thereby avoiding startup noise and half-water working noise, and avoiding the situation of dehydration with water.

[0126] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents, and all should be included within the scope of protection of the present invention.

Claims

1. A method for obtaining a dehydration acceleration value of a clothing drainage device, characterized in that: include: Obtain the current water level value and the target water level value in the bucket during the current round of drainage, and obtain the water level deviation value based on the current water level value and the target water level value; Determine the water level change rate value according to the water level deviation value in the previous round of drainage and the water level deviation value in the current round; Based on the water level deviation value and the water level change rate value, fuzzification is performed to determine the fuzzy values ​​of the current water level value and the water level change rate value, and the fuzzy values ​​are mapped to the fuzzy domain to obtain the fuzzy language quantities of the current water level value and the water level change rate value; Based on the fuzzy language quantities of the water level deviation value and the water level change rate value, obtaining the fuzzy language quantity of the dehydration acceleration; The obtained fuzzy language quantity of dehydration acceleration is used for defuzzification to obtain the dehydration acceleration value.

2. The method for obtaining the dehydration acceleration value according to claim 1, characterized in that: The operation of obtaining the current water level value and the target water level value in the bucket during the current round of drainage, and obtaining the water level deviation value based on the current water level value and the target water level value, includes: Perform water level detection during each round of drainage to obtain the current water level value and target water level value in the bucket during each round of drainage; The water level deviation value is determined as the difference between the current water level value and the target water level value during each round of drainage.

3. The method for obtaining the dehydration acceleration value according to claim 2, characterized in that: The operation of determining the water level change rate value according to the water level deviation value in the previous round of drainage process and the water level deviation value in the current round includes: While obtaining the current water level deviation value in the current drainage process, obtain the water level deviation value in the previous drainage process; The water level change rate value is determined as the difference between the water level deviation value of the current round and the water level deviation value of the previous round in two adjacent rounds of drainage.

4. The method for obtaining the dehydration acceleration value according to claim 3, characterized in that: The operation of performing fuzzification based on the current water level deviation value and the water level change rate value, determining the fuzzy values ​​of the current water level value and the water level change rate value, and mapping them to the fuzzy domain to obtain the fuzzy language quantity of the current water level value and the water level change rate value includes: Determine a water level deviation value based on a difference between the current water level value and the target water level value; Determine the water level change rate value based on the difference between the water level deviation value of the current round and the water level deviation value of the previous round in the two adjacent rounds of drainage; After determining the water level deviation value and the water level change rate value, determining the fuzzy values ​​of the water level deviation value and the water level change rate value through a mapping relationship function; and The scope of the fuzzy domain is determined by the water level deviation value and the water level change rate value; Based on the fuzzy value obtained by mapping, the fuzzy language quantity of the water level deviation value and the water level change rate value in the fuzzy domain is obtained.

5. The method for obtaining the dehydration acceleration value according to claim 4, characterized in that: The fuzzy values ​​of the water level deviation value and the water level change rate value are obtained through a mapping relationship function, and the fuzzy language quantity is obtained through a fuzzy membership function or a table lookup; The mapping relationship function is: H = -2 + k*(h - h0); k = [2 - (-2)] / (max - min); Among them, H represents the fuzzy value of the water level deviation value or the water level change rate value; h and h0 represent the current water level value and the target water level value, or the water level deviation value of the previous round and the water level deviation value of the current round respectively; max and min represent the maximum and minimum values ​​of the water level deviation value, or the maximum and minimum values ​​of the water level change rate value respectively; k represents the slope; The fuzzy membership function is: Among them, PB, PS, O, NS, and NB are fuzzy language quantities, and PB and NB represent the highest and lowest levels of the fuzzy domain. According to the fuzzy language quantities PB, PS, O, NS, and the highest membership value of NB, the fuzzy language quantities of the current water level deviation value and the water level change rate value are determined.

6. The method for obtaining dehydration acceleration value according to any one of claim 5, characterized in that: The operation of obtaining the fuzzy language quantity of dehydration acceleration based on the fuzzy language quantity of the water level deviation value and the water level change rate value includes: Based on the fuzzy language quantity of determining the current water level deviation value and the water level change rate value, the fuzzy language quantity of the dehydration acceleration value is obtained through a fuzzy control quantity function or a table lookup; The fuzzy control quantity function is: U = -[α × E + (1 - α) × Ec]; Among them, U is the fuzzy language quantity of dehydration acceleration, E and Ec are the fuzzy language quantities of the current water level deviation value and water level change rate value, α, α s , α0 are coefficients, and N is the maximum value of the fuzzy level.

7. The method for obtaining dehydration acceleration value according to any one of claim 6, characterized in that: The operation of performing defuzzification using the obtained fuzzy language quantity of dehydration acceleration to obtain the dehydration acceleration value includes: Based on the obtained fuzzy language quantity of dehydration acceleration, defuzzification is performed through a defuzzification function to obtain a dehydration acceleration value; The defuzzification function is: a=a_min+[U-(-2)]*(a_max-a_min) / [2-(-2)]; Wherein, a is the dehydration acceleration value, U is the fuzzy language quantity of the dehydration acceleration, a_max is the maximum value of the dehydration acceleration value, and a min is the minimum value of the dehydration acceleration value.

8. A washing machine control method, characterized in that: include: The washing machine drainage control is performed based on the dehydration acceleration value, wherein the dehydration acceleration value is obtained based on the dehydration acceleration value acquisition method according to any one of claims 1 to 7.

9. A washing machine, characterized in that: The washing machine uses the washing machine control method according to claim 8 to perform drainage control.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a method for obtaining a dehydration acceleration value as described in any one of claims 1 to 7 is implemented.

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