Dehydration control method and equipment and clothes treatment equipment

Abstract

The invention provides a dehydration control method and device and a clothes processing device, relates to the technical field of washing machine dehydration, and aims to solve the technical problems that a fixed flattening acceleration mode is used in the dehydration process of a washing machine, the washing machine cannot adapt to the distribution condition of all clothes, the dehydration effect is affected, and the overall use experience is affected. The method comprises the following steps: acquiring eccentricity detection data of to-be-dehydrated clothes under a plurality of preset flattening accelerations; according to the eccentricity detection data, the corresponding relation between the eccentricity value of the clothes to be dewatered and the flattening acceleration is determined; determining a target swinging acceleration when the eccentric value is minimum based on the corresponding relation; and performing eccentricity detection according to the target swinging acceleration, and increasing the rotating speed to execute dehydration operation when a detection result meets a preset condition.

Description

Technical Field

[0001] This application relates to the field of washing machine dehydration technology, and in particular to a dehydration control method, equipment and clothing processing equipment. Background Technology

[0002] As washing machine technology continues to develop, users' demands for spin-drying efficiency and stability are gradually increasing. However, in related technologies, washing machines use a fixed leveling acceleration during the spin-drying process, which cannot adapt to the distribution of all clothes and affects the spin-drying effect. Summary of the Invention

[0003] To address the aforementioned technical problems, this application provides a dehydration control method, equipment, and garment processing equipment to solve the technical problem in related technologies where a fixed leveling acceleration cannot adapt to all garment distributions, affecting the dehydration effect and consequently impacting the user experience.

[0004] To achieve the above technical objectives, this application provides the following technical solution:

[0005] Firstly, the embodiments of this specification provide a dehydration control method, including:

[0006] Obtain eccentricity detection data for clothes to be dehydrated under multiple preset leveling accelerations;

[0007] Based on the eccentricity detection data, the corresponding relationship between the eccentricity value of the clothes to be dehydrated and the leveling acceleration was determined;

[0008] Determine the target leveling acceleration when the eccentricity is minimized based on the correspondence;

[0009] The eccentricity is detected by the target leveling acceleration, and the speed is increased to perform the dehydration operation when the detection result meets the preset conditions.

[0010] In one implementation, the relationship between the eccentricity value of the garment to be dehydrated and the leveling acceleration is determined based on eccentricity detection data, including:

[0011] The fitting curve of eccentricity value-smoothing acceleration is fitted based on multiple preset leveling acceleration and eccentricity detection data;

[0012] The corresponding relationship is represented by the fitted curve.

[0013] In one implementation, determining the target leveling acceleration when the eccentricity value is minimized based on a correspondence includes:

[0014] Determine the minimum value of the fitted curve;

[0015] The balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0016] In one implementation, eccentricity detection is performed using the target leveling acceleration, and the dehydration operation is performed by increasing the rotation speed when the detection result meets preset conditions, including:

[0017] The eccentricity is detected a preset number of times using the target leveling acceleration;

[0018] If the detected eccentricity value is less than the preset eccentricity limit during any eccentricity detection, the speed will be increased to perform the dehydration operation.

[0019] In one implementation, the method further includes:

[0020] If the eccentricity value detected by the preset number of eccentricity detections is not less than the preset eccentricity limit, the user is indicated that the dehydration has failed.

[0021] In one implementation, determining the target leveling acceleration when the eccentricity value is minimized based on the correspondence includes:

[0022] Detect the fitted value of the fitted curve;

[0023] When the fitting effect of the fitted curve is confirmed to meet the requirements based on the fitted values, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0024] In one implementation, detecting the fitted value of the fitted curve includes:

[0025] Calculate the F-statistic of the fitted curve;

[0026] When the fitting effect of the fitted curve is confirmed to meet the requirements based on the fitted values, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration, including:

[0027] When the F-statistic is greater than the critical value, determine the minimum value of the fitted curve;

[0028] The balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0029] Calculate the F-statistic of the fitted curve;

[0030] When the F-statistic is greater than the critical value, determine the minimum value of the fitted curve;

[0031] The balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0032] In one implementation, the method further includes:

[0033] When the F statistic is not greater than the critical value, the preset leveling acceleration corresponding to the minimum eccentricity value is determined based on the eccentricity detection data as the target leveling acceleration.

[0034] In one implementation, determining the balancing acceleration corresponding to the minimum value as the target balancing acceleration includes:

[0035] When the minimum value is positive and less than the maximum preset balancing acceleration among multiple preset balancing accelerations, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0036] When the minimum value is not positive, or is not less than the maximum preset balancing acceleration among multiple preset balancing accelerations, the preset balancing acceleration corresponding to the minimum eccentricity value is determined as the target balancing acceleration based on the eccentricity detection data.

[0037] In one implementation, acquiring eccentricity detection data of the clothes to be dehydrated under multiple preset leveling accelerations includes:

[0038] The dehydrated clothes are subjected to multiple cycles of increasing or decreasing the speed, and the eccentricity detection value is recorded each time the speed is increased to the preset detection speed with any preset leveling acceleration.

[0039] For each preset leveling acceleration, the eccentricity detection data corresponding to the preset leveling acceleration is determined based on multiple eccentricity detection values ​​at the preset detection rotation speed.

[0040] In one implementation, the method further includes:

[0041] If the preset conditions are met when the speed is increased to the preset detection speed at any preset leveling acceleration, the speed will be increased to perform the dehydration operation.

[0042] Secondly, embodiments of this specification provide a dehydration control device, comprising:

[0043] The acquisition unit is used to acquire eccentricity detection data of clothes to be dehydrated under multiple preset leveling accelerations;

[0044] The first determining unit is used to determine the correspondence between the eccentricity value of the clothes to be dehydrated and the leveling acceleration based on the eccentricity detection data.

[0045] The second determining unit is used to determine the target leveling acceleration when the eccentricity value is minimized based on the correspondence relationship;

[0046] The execution unit is used to perform eccentricity detection with the target leveling acceleration, and to increase the rotation speed to perform the dehydration operation when the detection result meets the preset conditions.

[0047] Thirdly, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the dehydration control method of the first aspect, the third aspect, or any corresponding embodiment thereof.

[0048] Fourthly, embodiments of this specification provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the dehydration control method of the first aspect, the third aspect, or any corresponding embodiment described above.

[0049] Fifthly, embodiments of this specification provide a computer program product or a computer program, the computer program product including a computer program stored in a computer-readable storage medium; the processor of a computer device reads the computer program from the computer-readable storage medium, and when the processor executes the computer program, it implements the dehydration control method of the first aspect, the third aspect, or any corresponding embodiment described above.

[0050] Sixthly, embodiments of this specification provide a garment processing apparatus, including a computer device as described in the third aspect, or employing a method as described in any one of the first aspects.

[0051] As can be seen from the above technical solution, this application provides a dehydration control method, device, and clothing processing device. The method first acquires eccentricity detection data of the clothes to be dehydrated under multiple preset leveling accelerations. Then, based on the eccentricity detection data, it determines the correspondence between the eccentricity value of the clothes to be dehydrated and the leveling acceleration. Next, based on the correspondence, it determines the target leveling acceleration when the eccentricity value is minimized. Finally, it performs eccentricity detection at the target leveling acceleration and increases the rotation speed to perform the dehydration operation when the detection result meets preset conditions. This invention introduces eccentricity detection data of preset leveling accelerations to construct a correspondence between eccentricity values ​​and leveling accelerations, and selects the most suitable leveling acceleration for secondary eccentricity detection based on this correspondence. This process effectively improves the screening accuracy of the optimal leveling acceleration, solving the problems of low screening efficiency and inaccurate results caused by sequential traversal or limitations of preset parameter ranges in traditional methods. This improves the dehydration success rate of washing machines under complex clothing distribution conditions. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of this application. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0053] Figure 1 A schematic flowchart illustrating a dehydration control method provided for embodiments of this specification;

[0054] Figure 2 A schematic flowchart illustrating a dehydration control method provided for embodiments of this specification;

[0055] Figure 3 A schematic diagram illustrating the principle of a quadratic fitting curve provided for the implementation of this specification;

[0056] Figure 4 A schematic diagram illustrating the execution flow of a dehydration control method provided for embodiments of this specification;

[0057] Figure 5 A schematic flowchart illustrating another dehydration control method provided for the implementation of this specification;

[0058] Figure 6 A schematic diagram illustrating the execution flow of another dehydration control method provided for the embodiments of this specification;

[0059] Figure 7 A schematic diagram of a dehydration control device provided for embodiments of this specification;

[0060] Figure 8 This is a schematic diagram of the structure of an electronic device provided for the implementation of this specification. Detailed Implementation

[0061] Unless otherwise defined, the technical or scientific terms used in the embodiments of this specification shall have the ordinary meaning understood by one skilled in the art to which this specification pertains. The terms "first," "second," and similar terms used in the embodiments of this specification do not indicate any order, quantity, or importance, but are merely used to avoid confusion of constituent elements.

[0062] Unless the context otherwise requires, throughout this specification, "a plurality of" means "at least two," and "including" is interpreted as open-ended or encompassing, that is, "including, but not limited to." In the description of this specification, terms such as "one embodiment," "some embodiments," "exemplary embodiment," "example," "specific example," or "some examples" are intended to indicate that a particular feature, structure, material, or characteristic associated with that embodiment or example is included in at least one embodiment or example of this specification. The illustrative representations of the above terms do not necessarily refer to the same embodiment or example.

[0063] The technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this specification.

[0064] Overview

[0065] As mentioned in the background section, with the continuous development of washing machine technology, users' requirements for spin-drying efficiency and stability are gradually increasing. However, in related technologies, washing machines use a fixed leveling acceleration during the spin-drying process. This method cannot adapt to the distribution of all clothes, affecting the spin-drying effect and thus impacting the overall user experience.

[0066] Therefore, it is necessary to provide a dehydration control method to solve the above problems.

[0067] Based on the above inventive concept, the dehydration control method provided in the embodiments of this specification will be described exemplarily below.

[0068] Exemplary methods

[0069] This specification provides a dehydration control method, such as... Figure 1 As shown, it includes:

[0070] S101. Obtain eccentricity detection data of the clothes to be dehydrated under multiple preset leveling accelerations.

[0071] In practice, the leveling acceleration of the washing machine is changed to detect the eccentricity of the clothes to be spun. When the machine is accelerated to the preset detection speed by multiple preset leveling accelerations, the eccentricity value corresponding to the preset leveling acceleration is recorded and recorded as the eccentricity detection data of the clothes to be spun.

[0072] It should be noted that the specific value of the preset detection speed can be set by the user as needed, and this embodiment of the invention does not limit this.

[0073] S102. Based on the eccentricity detection data, determine the correspondence between the eccentricity value of the clothes to be dehydrated and the leveling acceleration.

[0074] In specific implementation, the eccentricity value and the balance acceleration are established by using the eccentricity value under different preset balance acceleration in the eccentricity detection data. Specifically, it can be a functional relationship or other forms of relationship. This embodiment of the invention does not limit this.

[0075] In one example, a linear relationship is established between the eccentricity value and the leveling acceleration; in another example, a quadratic function relationship is established between the eccentricity value and the leveling acceleration.

[0076] S103. Determine the target leveling acceleration when the eccentricity value is minimized based on the correspondence.

[0077] In practice, based on the correspondence determined in the above steps, find the leveling acceleration corresponding to the minimum eccentricity value and determine it as the target leveling acceleration.

[0078] In this step, the accuracy of the correspondence can be further determined. For example, when the correspondence is expressed as a curve, the fitted value of the curve can be verified, and the target leveling acceleration can be determined based on the correspondence when the fitted value meets the requirements.

[0079] S104. Perform eccentricity detection using the target leveling acceleration, and increase the rotation speed to perform dehydration operation when the detection result meets the preset conditions.

[0080] In practice, the selected target is leveled and accelerated to the preset detection speed, and an eccentricity detection is performed. If the eccentricity value is less than the preset eccentricity limit, the speed is increased to spin-dry. If the eccentricity value is not less than the preset eccentricity limit, the spin-drying is indicated as failed, and the user is prompted to shake the clothes to be spun in the washing machine or add clothes as appropriate.

[0081] The following is as follows Figure 2 As shown, the specific process of a dehydration control method provided in this specification is described in detail:

[0082] S201. Obtain eccentricity detection data of clothes to be dehydrated under multiple preset leveling accelerations.

[0083] In practice, the clothes to be spun are first subjected to multiple cycles of increasing or decreasing the rotation speed, usually at least 3 times. Then, when the preset leveling acceleration reaches the preset detection speed, the corresponding eccentricity value is recorded, and the eccentricity detection value corresponding to the leveling acceleration is obtained. For each preset leveling acceleration, the eccentricity detection data corresponding to the preset leveling acceleration is determined based on the multiple eccentricity detection values ​​under the preset leveling acceleration.

[0084] In one embodiment, preset leveling acceleration values ​​are 0.5g, 1.0g, 1.5g, 2.0g, 2.5g, and 3.0g, with five independent detections performed at each leveling acceleration. At each detection, the current eccentricity value is recorded, and the average eccentricity value is calculated when accelerating to a preset detection rotational speed at each preset leveling acceleration. This average eccentricity value and the corresponding preset leveling acceleration form a set of data points, and all data points together constitute the eccentricity detection dataset.

[0085] It should be noted that if the detected eccentricity value in this step reaches the preset eccentricity limit, the speed can be increased directly for dehydration.

[0086] S202. Fit a curve of eccentricity value-flattening acceleration based on multiple preset flattening acceleration and eccentricity detection data.

[0087] In practice, a fitting curve of eccentricity value versus balancing acceleration is fitted based on multiple preset balancing acceleration and eccentricity detection data. This fitting curve characterizes the correspondence between eccentricity value and balancing acceleration. A quadratic function model can be used to fit the data here. The goal of the fitting is to establish a mathematical relationship expression X = Aa between eccentricity value and balancing acceleration. 2 +Ba+CX, where X represents the eccentricity value, a represents the leveling acceleration, and A, B, and C are fitting coefficients. These coefficients can be solved using the least squares method to obtain the specific mathematical expression. For example, in one embodiment, the fitting result is X = 0.2a. 2 -1.5a+3.0X, then the eccentric-flattening acceleration curve is plotted based on this expression as the corresponding relationship.

[0088] S203. Determine the minimum value of the fitted curve, and determine the balancing acceleration corresponding to the minimum value as the target balancing acceleration.

[0089] In practice, the minimum value of the fitted curve is determined. If the minimum value is positive and less than the maximum preset balancing acceleration among multiple preset balancing accelerations, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration. If the minimum value is not positive, or is not less than the maximum preset balancing acceleration among multiple preset balancing accelerations, the preset balancing acceleration corresponding to the minimum eccentricity value is determined as the target balancing acceleration based on the eccentricity detection data. Specifically, according to the fitted expression X = Aa... 2 The minimum point aj = -B / 2A is calculated using +Ba+C. Extensive experimental verification shows that for specific clothing conditions, there exists a leveling acceleration that results in the most uniform clothing distribution and the smallest eccentricity. Decreasing or increasing this leveling acceleration leads to an increase in eccentricity. In other words, the relationship between the overall eccentricity and the leveling acceleration closely resembles an upward-opening quadratic function curve, i.e., A > 0. A schematic diagram is shown below. Figure 3 As shown.

[0090] Using the previous example, the minimum point aj = -1.52 × 0.2 = 3.75. Then, it is determined whether the minimum point is within the preset acceleration range. If it is within the range, aj is determined as the target balancing acceleration. If it is not within the range, the balancing acceleration with the smallest eccentricity value in the sample is selected as the target balancing acceleration.

[0091] S204. Perform eccentricity detection using the target leveling acceleration, and increase the rotation speed to perform dehydration operation when the detection result meets the preset conditions.

[0092] In practice, the system accelerates to a preset detection speed at the target leveling acceleration a preset number of times, performing an eccentricity check at each check. If the detected eccentricity value is less than a preset eccentricity limit during any given check, the speed is increased to initiate a dehydration operation. Specifically, the detected eccentricity value is recorded at the target leveling acceleration, and it is determined whether this value is less than the preset eccentricity limit. For example, in one embodiment, the preset eccentricity limit is 0.8. If the detected eccentricity value is less than 0.8, the speed is increased to enter the dehydration stage; if the eccentricity value is greater than or equal to 0.8, the eccentricity check is repeated until the preset number of checks is reached. Assuming the preset number of checks is 3, if the condition is still not met after 3 checks, the user is prompted to adjust the clothing distribution. After prompting the user to adjust the clothing distribution, the adjusted clothing distribution state and the corresponding eccentricity value can be recorded and stored in a database for subsequent learning and optimization of clothing distribution patterns.

[0093] Furthermore, after selecting the leveling acceleration with the smallest eccentricity value in the sample, the current distribution of clothing can be further recorded, and possible causes of a large eccentricity value can be analyzed. For example, if a large eccentricity value is detected as being caused by uneven clothing distribution or excessive clothing weight, the preset acceleration range can be adjusted or the number of tests increased based on the analysis results to optimize subsequent screening strategies. This process ensures more reliable dehydration operations under complex clothing distribution conditions.

[0094] In one example, the dehydration control method provided in this embodiment is as follows: Figure 4 As shown, the process begins with a pre-set acceleration leveling stage. The eccentricity value Xij is detected by cyclically increasing the speed p times using n (n≥3) pre-set accelerations, where Xij represents the eccentricity value detected at the j-th acceleration, 1≤p≤5. Cycling p times is used to obtain the average value, reducing the bias in eccentricity detection during a single experiment. The selection of pre-set accelerations should meet normal dehydration requirements, falling within the range (0,100), and the interval between each pre-set acceleration should be greater than or equal to 5, ensuring a certain degree of differentiation between the pre-set accelerations and guaranteeing the curve fitting effect. Each leveling detection of eccentricity is compared with the pre-set eccentricity limit X0. If the pre-set eccentricity limit is reached, the speed can be directly increased for dehydration in this stage.

[0095] Then, the target leveling acceleration stage is selected by fitting the curve. The average eccentricity value Xi under each acceleration ai is recorded. The eccentricity value and acceleration are fitted twice to obtain X = Aa. 2+Ba+C. Then calculate the minimum point aj = -B / 2A of the fitted curve. If 0 < aj < max{a1, a2, ..., an}, it means that the minimum point aj is reasonable. Use aj as the target leveling acceleration and continue to perform eccentricity detection q times. If aj does not conform to the range of (0, max{a1, a2, ..., an}), it means that the extreme point of the second fitting does not conform to reality. Then select the leveling acceleration with the smallest eccentricity value as the target leveling acceleration for subsequent eccentricity detection. Finally, perform the second stage of eccentricity detection with the selected leveling acceleration. If the eccentricity value X2 < the preset eccentricity limit X0, then increase the speed for dehydration; if the speed cannot be increased for dehydration even after the preset q eccentricity detections, then dehydration fails, and the user is prompted to shake or add appropriate clothing.

[0096] The following is as follows Figure 5 As shown, the specific process of another dehydration control method provided in the embodiments of this specification will be described in detail:

[0097] S501. Obtain eccentricity detection data of the clothes to be dehydrated under multiple preset leveling accelerations.

[0098] Steps S401, 402, and S405 are the same as steps S201, S202, and S204, and will not be repeated here.

[0099] S502. Fit a curve of eccentricity value-flattening acceleration based on multiple preset flattening acceleration and eccentricity detection data.

[0100] S503. Calculate the F-statistic of the fitted curve. When the F-statistic is greater than the critical value, determine the minimum value of the fitted curve.

[0101] In specific implementation, after receiving the eccentricity-smoothing acceleration curve, a significance test is performed on its fitting effect. That is, the F-statistic of the fitted curve is calculated to reflect its fitting value. Of course, other calculation methods can also be used to test the fitting value; this embodiment of the invention does not limit this. When using the F-statistic to reflect the fitting value of the fitted curve, the specific steps include calculating the residual sum of squares (SSE), the total sum of squares (SST), and the regression sum of squares (SSR). The formula for calculating the residual sum of squares (SSE) is as follows: The number of parameters is 2 for a quadratic function; n is the number of acceleration samples.

[0102] In one embodiment, with a sample size of 30, the calculated F-value is 15.6. This F-value is compared with a critical value. If the F-value is greater than the critical value, the fitting effect is considered significant; otherwise, the fitting effect is not significant. The value of the critical value can be set according to the required degree of fitting.

[0103] Specifically, if the fitting effect is not significant, the balancing acceleration with the smallest eccentricity value in the sample is directly selected as the target balancing acceleration. If the fitting effect is significant, then the fitting expression X = Aa is used. 2 The minimum point aj = -B / 2A is calculated using +Ba+C.

[0104] Using the previous example, after calculating the minimum point aj, it is determined whether the minimum point is within the preset acceleration range. If it is within the range, aj is determined as the target leveling acceleration. If it is not within the range, the leveling acceleration with the smallest eccentricity value in the sample is selected as the target leveling acceleration.

[0105] S504. Determine the balancing acceleration corresponding to the minimum value as the target balancing acceleration.

[0106] In practice, when the minimum value is positive and less than the maximum preset leveling acceleration among multiple preset leveling accelerations, the leveling acceleration corresponding to the minimum value is determined as the target leveling acceleration. When the minimum value is not positive, or is not less than the maximum preset leveling acceleration among multiple preset leveling accelerations, the preset leveling acceleration corresponding to the minimum eccentricity value is determined as the target leveling acceleration based on the eccentricity detection data.

[0107] S505, use the target leveling acceleration to perform eccentricity detection, and increase the speed to perform dehydration operation when the detection result meets the preset conditions.

[0108] In one example, the dehydration control method provided in this embodiment is as follows: Figure 6 As shown, in this embodiment, to verify the effect of the quadratic fitting, a preset acceleration leveling stage is first performed. The eccentricity value Xij is detected by cyclically increasing the speed p times with n (n≥3) preset accelerations, where Xij represents the eccentricity value detected by the i-th acceleration in the j-th iteration, 1≤p≤5. Cycling p times is used to obtain the average value, reducing the bias of the eccentricity detection itself in a single experiment. The selection of preset accelerations should meet the normal dehydration requirements, falling within the range (0,100), and the interval between each preset acceleration should be greater than or equal to 5, ensuring a certain degree of differentiation between preset accelerations and guaranteeing the curve fitting effect. Each leveling detection of eccentricity is compared with the preset eccentricity limit X0. If the preset eccentricity limit is reached, the speed can be directly increased for dehydration in this stage.

[0109] Then, the target leveling acceleration stage is selected by fitting the curve. The average eccentricity value Xi under each acceleration ai is recorded. The eccentricity value and acceleration are fitted twice to obtain X = Aa. 2+Ba+C. Then calculate the residuals and F-statistic, and verify the significance of the fit by judging the size of the F-statistic and the critical value. This step considers the possibility that the quadratic fit is not good, and performs a significance test on the quadratic fit to decide whether to use the fitted curve. When the F-statistic > the critical value, the quadratic function fit is good. Further calculate the minimum point aj of the fitted curve, and judge whether the value of aj is reasonable, that is, whether it conforms to the interval (0, max{a1,a2,…,an}). If it does, aj is used as the target balancing acceleration; if the minimum value does not conform to reality, that is, aj is not in the interval (0, max{a1,a2,…,an}), then the acceleration corresponding to the smallest eccentricity value in the sample is selected as the target balancing acceleration for subsequent eccentricity detection. When the F-statistic ≤ the critical value, it means that the quadratic function fit is poor, and the fit is not used. Similarly, the acceleration corresponding to the smallest eccentricity value in the sample is selected as the target balancing acceleration for subsequent eccentricity detection. Then, the second stage of eccentricity detection is performed using the selected leveling acceleration. If the eccentricity value X2 is less than the preset eccentricity limit X0, the speed is increased for dehydration. If the speed cannot be increased for dehydration even after the preset q eccentricity detections are completed, the dehydration fails, and the user is prompted to shake the clothes or add more clothes as needed.

[0110] Exemplary device

[0111] In one exemplary embodiment of this specification, a dehydration control device 700 is also provided, such as... Figure 7 As shown, it includes:

[0112] The acquisition unit 701 is used to acquire eccentricity detection data of clothes to be dehydrated under multiple preset leveling accelerations;

[0113] The first determining unit 702 is used to determine the correspondence between the eccentricity value of the clothes to be dehydrated and the leveling acceleration based on the eccentricity detection data.

[0114] The second determining unit 703 is used to determine the target leveling acceleration when the eccentricity value is minimum based on the correspondence relationship;

[0115] The execution unit 704 is used to perform eccentricity detection with the target leveling acceleration, and to increase the rotation speed to perform dehydration operation when the detection result meets the preset conditions.

[0116] In one embodiment, the first determining unit 702 is specifically used for:

[0117] The fitting curve of eccentricity value-smoothing acceleration is fitted based on multiple preset leveling acceleration and eccentricity detection data;

[0118] The corresponding relationship is represented by the fitted curve.

[0119] In one embodiment, the second determining unit 703 is specifically used for:

[0120] Determine the minimum value of the fitted curve;

[0121] The balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0122] In one implementation, the execution unit 704 is specifically used for:

[0123] The eccentricity is detected a preset number of times using the target leveling acceleration;

[0124] If the detected eccentricity value is less than the preset eccentricity limit during any eccentricity detection, the speed will be increased to perform the dehydration operation.

[0125] In one embodiment, the execution unit 704 is further configured to:

[0126] If the eccentricity value detected by the preset number of eccentricity detections is not less than the preset eccentricity limit, the user is indicated that the dehydration has failed.

[0127] In one embodiment, the second determining unit 703 is further configured to:

[0128] Detect the fitted value of the fitted curve;

[0129] When the fitting effect of the fitted curve is confirmed to meet the requirements based on the fitted values, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0130] In one embodiment, the second determining unit 703 is further configured to:

[0131] Calculate the F-statistic of the fitted curve;

[0132] When the F-statistic is greater than the critical value, determine the minimum value of the fitted curve;

[0133] The balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0134] In one embodiment, the second determining unit 703 is further configured to:

[0135] When the F statistic is not greater than the critical value, the preset leveling acceleration corresponding to the minimum eccentricity value is determined based on the eccentricity detection data as the target leveling acceleration.

[0136] In one embodiment, the second determining unit 703 is further configured to:

[0137] When the minimum value is positive and less than the maximum preset balancing acceleration among multiple preset balancing accelerations, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

[0138] When the minimum value is not positive, or is not less than the maximum preset balancing acceleration among multiple preset balancing accelerations, the preset balancing acceleration corresponding to the minimum eccentricity value is determined as the target balancing acceleration based on the eccentricity detection data.

[0139] In one embodiment, the acquisition unit 701 is specifically used for:

[0140] The dehydrated clothes are subjected to multiple cycles of increasing or decreasing the speed, and the eccentricity detection value is recorded each time the speed is increased to the preset detection speed with any preset leveling acceleration.

[0141] For each preset leveling acceleration, the eccentricity detection data corresponding to the preset leveling acceleration is determined based on multiple eccentricity detection values ​​at the preset detection rotation speed.

[0142] In one embodiment, the acquisition unit 701 is further configured to:

[0143] If the preset conditions are met when the speed is increased to the preset detection speed at any preset leveling acceleration, the speed will be increased to perform the dehydration operation.

[0144] The dehydration control device provided in this embodiment belongs to the same concept as the dehydration control method provided in the above embodiments of this application. It can execute the dehydration control method provided in any of the above embodiments of this application and has the corresponding functional modules and beneficial effects for executing the dehydration control method. Technical details not described in detail in this embodiment can be found in the specific processing content of the dehydration control method provided in the above embodiments of this application, and will not be repeated here.

[0145] Exemplary device

[0146] In one exemplary embodiment of this specification, an electronic device is also provided, such as Figure 8 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840, wherein the processor 810, the communication interface 820, and the memory 830 communicate with each other through the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute a dehydration control method, which includes:

[0147] Obtain eccentricity detection data for clothes to be dehydrated under multiple preset leveling accelerations;

[0148] Based on the eccentricity detection data, the corresponding relationship between the eccentricity value of the clothes to be dehydrated and the leveling acceleration was determined;

[0149] Determine the target leveling acceleration when the eccentricity is minimized based on the correspondence;

[0150] The eccentricity is detected by the target leveling acceleration, and the speed is increased to perform the dehydration operation when the detection result meets the preset conditions.

[0151] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0152] Exemplary computer program products and storage media

[0153] In addition to the methods and devices described above, the dehydration control methods provided in the embodiments of this specification can also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the dehydration control methods according to various embodiments of this specification as described in the "Exemplary Methods" section above.

[0154] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of this specification. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages.

[0155] Furthermore, embodiments of this specification also provide a computer-readable storage medium having a computer program stored thereon, the computer program being executed by a processor of the steps in the dehydration control methods according to various embodiments of this specification as described in the "Exemplary Methods" section above.

[0156] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this specification can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0157] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0158] The embodiments described above are merely illustrative of several implementation methods outlined in this specification. While the descriptions are specific and detailed, they should not be construed as limiting the scope of the solutions provided in this specification. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this specification, and these all fall within the scope of protection of this specification. Therefore, the scope of protection for this patent should be determined by the appended claims.

Claims

1. A dehydration control method, characterized in that, include: Obtain eccentricity detection data for clothes to be dehydrated under multiple preset leveling accelerations; Based on the eccentricity detection data, the correspondence between the eccentricity value of the clothes to be dehydrated and the leveling acceleration is determined; Based on the aforementioned correspondence, determine the target leveling acceleration when the eccentricity value is minimized; The eccentricity is detected by the target leveling acceleration, and the rotation speed is increased to perform the dehydration operation when the detection result meets the preset conditions.

2. The method according to claim 1, characterized in that, The step of determining the correspondence between the eccentricity value of the garment to be dehydrated and the leveling acceleration based on the eccentricity detection data includes: A secondary fitting is performed based on multiple preset leveling accelerations and the eccentricity detection data to obtain a fitting curve of eccentricity value-leveling acceleration used to characterize the corresponding relationship.

3. The method according to claim 2, characterized in that, The determination of the target leveling acceleration when the eccentricity value is minimized based on the correspondence includes: Determine the minimum value of the fitted curve; The balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

4. The method according to claim 1, characterized in that, The step of performing eccentricity detection using the target leveling acceleration and increasing the rotation speed to perform dehydration operation when the detection result meets preset conditions includes: Eccentricity detection is performed using the target leveling acceleration; If, during any eccentricity detection within a preset number of times, the detected eccentricity value is less than the preset eccentricity limit, the rotation speed is increased to perform a dehydration operation; or If the eccentricity value detected by the preset number of eccentricity detections is not less than the preset eccentricity limit, the user is indicated that the dehydration has failed.

5. The method according to claim 3, characterized in that, The target balancing acceleration determined based on the correspondence to minimize the eccentricity includes: Detect the fitted value of the fitted curve; When the fitting effect of the fitting curve is confirmed to meet the requirements based on the fitting value, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

6. The method according to claim 5, characterized in that, The detection of the fitted value of the fitted curve includes: Calculate the F-statistic of the fitted curve; When the fitting effect of the fitted curve is confirmed to meet the requirements based on the fitted value, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration, including: When the F-statistic is greater than the critical value, the minimum value of the fitted curve is determined; The balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration.

7. The method according to claim 6, characterized in that, The method further includes: When the F statistic is not greater than the critical value, the preset leveling acceleration corresponding to the minimum eccentricity value is determined as the target leveling acceleration based on the eccentricity detection data.

8. The method according to any one of claims 3 or 6, characterized in that, Determining the balancing acceleration corresponding to the minimum value as the target balancing acceleration includes: When the minimum value is positive and less than the maximum preset balancing acceleration among the plurality of preset balancing accelerations, the balancing acceleration corresponding to the minimum value is determined as the target balancing acceleration. When the minimum value is not positive, or is not less than the maximum preset leveling acceleration among the plurality of preset leveling accelerations, the preset leveling acceleration corresponding to the minimum eccentricity value is determined as the target leveling acceleration based on the eccentricity detection data.

9. The method according to claim 1, characterized in that, The acquisition of eccentricity detection data of the clothes to be dehydrated under multiple preset leveling accelerations includes: The clothes to be dehydrated are subjected to multiple cycles of increasing or decreasing the rotation speed, and the eccentricity detection value is recorded each time the speed is increased to the preset detection speed at any preset leveling acceleration. For each preset leveling acceleration, the eccentricity detection data corresponding to the preset leveling acceleration is determined based on multiple eccentricity detection values ​​at the preset detection rotation speed.

10. The method according to claim 9, characterized in that, The method further includes: If the preset conditions are met when the speed is increased to the preset detection speed at any preset leveling acceleration, the speed is increased to perform the dehydration operation.

11. A computer device, characterized in that, include: A memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to perform the method of any one of claims 1 to 10.

12. A garment processing device, characterized in that, Includes the computer device as described in claim 11, or employs the method as described in any one of claims 1-10.

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