Washing appliance control method and washing appliance

Abstract

The application discloses a washing equipment control method and washing equipment. The method comprises the following steps: when the washing equipment is in a washing state, acquiring a water level parameter and an inner drum rotation direction of the washing equipment at a current time; determining a rotation period in which the washing equipment is located based on the inner drum rotation direction; the rotation period is a clockwise rotation period or a counterclockwise rotation period; for each rotation period, at the end time of the current rotation period, calculating a current foam amount of the current rotation period based on the water level parameters of all the rotation periods before the end time; wherein, the end time of the rotation period is the time when the inner drum rotation direction changes; adjusting a first operation parameter of the washing equipment based on the current foam amount, and controlling the washing equipment based on the first operation parameter. The application improves the accuracy of real-time determination of the foam amount, reduces the invalid washing time caused by excessive or insufficient foam amount, and improves the washing efficiency.

Description

Technical Field

[0001] This application relates to intelligent electrical appliance technology, and more particularly to a washing equipment control method and a washing equipment. Background Technology

[0002] During the washing process, detergent mixes with water to produce foam, and the amount of foam affects the cleaning effect on clothes. Too much foam can lead to detergent residue and affect rinsing; too little foam will prevent the detergent from effectively removing dirt, resulting in clothes not being clean.

[0003] Most modern washing machines rely on foam detection devices to measure the amount of foam. When the detected foam exceeds a preset value, it is considered excessive and triggers a defoaming process. While this method can detect and control foam levels to some extent, it depends on a single form of foam detection and ignores the complexity of water level changes, resulting in low accuracy in foam detection. Summary of the Invention

[0004] This application provides a washing equipment control method and a washing equipment, which can more accurately detect the amount of foam in the washing equipment in real time, and dynamically adjust the washing parameters according to the real-time detection results of the amount of foam, thereby achieving more efficient and precise foam control of the washing equipment.

[0005] In a first aspect, this application provides a method for controlling a washing machine, the method comprising:

[0006] When the washing equipment is in washing mode, the water level parameters and inner drum rotation direction of the washing equipment at the current moment are obtained;

[0007] The rotation cycle of the washing device is determined based on the rotation direction of the inner drum; the rotation cycle is either a clockwise rotation cycle or a counterclockwise rotation cycle.

[0008] For each rotation cycle, at the end of the current rotation cycle, the current foam volume of the current rotation cycle is calculated based on the water level parameters of all rotation cycles prior to the end of the current rotation cycle; wherein, the end of the rotation cycle is the moment when the rotation direction of the inner cylinder changes.

[0009] The washing equipment is adjusted based on the current foam volume, and the washing equipment is controlled based on the first operating parameters.

[0010] In a second aspect, this application also provides a washing device, the washing device including a controller; wherein the controller is configured to execute the washing device control method as described in the first aspect of this application;

[0011] The solution of this application involves acquiring the water level parameters and inner drum rotation direction of the washing equipment at the current moment when the washing equipment is in washing mode; determining the rotation cycle of the washing equipment based on the inner drum rotation direction; the rotation cycle being either clockwise or counterclockwise; for each rotation cycle, at the end of the current rotation cycle, calculating the current foam volume based on the water level parameters of all rotation cycles prior to the end of the current rotation cycle; wherein the end of the rotation cycle is the moment when the inner drum rotation direction changes; adjusting the first operating parameter of the washing equipment based on the current foam volume, and controlling the washing equipment based on the first operating parameter. In other words, the solution of this application divides the rotation cycle according to the inner drum rotation direction, and at the end of each rotation cycle, comprehensively analyzes the water level parameters of all rotation cycles prior to the end of the cycle, rather than relying solely on data from a single moment. This reduces misjudgments of foam volume caused by short-term fluctuations or noise, and improves the accuracy of real-time foam volume determination. Dynamically adjusting the first operating parameter of the washing equipment based on the foam volume ensures that the washing equipment is always in optimal condition during the washing process, reducing ineffective washing time caused by excessive or insufficient foam volume, and improving washing efficiency. Attached Figure Description

[0012] To more clearly illustrate the technical solutions of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0013] Figure 1 This is a first flow diagram of the washing equipment control method provided in this application;

[0014] Figure 2 This is a second process diagram of the washing equipment control method provided in this application;

[0015] Figure 3 This is a schematic diagram of the third process of the washing equipment control method provided in this application;

[0016] Figure 4 This is a structural schematic diagram of the washing equipment provided in this application. Detailed Implementation

[0017] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present application, not the entire structure.

[0018] Figure 1This is a first flowchart illustrating the washing equipment control method provided in this application. This method can be executed by the controller of the washing equipment provided in this application. For example, the washing equipment can be various types of washing machines, etc. (Reference) Figure 1 The method may specifically include the following steps:

[0019] Step 101: When the washing equipment is in the washing state, obtain the water level parameters and inner drum rotation direction of the washing equipment at the current moment.

[0020] Washing equipment includes various types of washing machines or shoe washers, such as drum washing machines or top-loading washing machines. Water level parameters reflect the water level inside the drum, and to some extent, the amount of foam. The inner drum rotates either clockwise or counterclockwise. The washing state refers to the operating state of the washing equipment when executing a washing program. In the washing state, the equipment performs a series of operations, including water intake, drainage, inner drum rotation (clockwise and counterclockwise), and heating, to complete the washing process of the clothes.

[0021] Specifically, when a washing machine is in washing mode, it may produce more or less foam. Too much or too little foam will negatively impact the washing effect. Too much foam may lead to detergent residue, affecting rinsing; too little foam will prevent the detergent from effectively removing dirt, resulting in incomplete cleaning. Therefore, when the washing machine is in washing mode, it can obtain the water level parameter in real time through a pre-configured water level parameter measuring device. For example, it can measure the air pressure through an air pressure detector and determine the water level parameter based on the mapping relationship between air pressure and water level. Alternatively, it can directly obtain the capacitance change of the water in the drum through a capacitive water level sensor and obtain the water level parameter based on the capacitance change. In this solution, optionally, obtaining the water level parameter of the washing machine at the current moment includes: obtaining the frequency of the oscillation circuit of the washing machine at the current moment through a pre-set frequency measuring device; and calculating the water level parameter based on the frequency and a pre-determined resonant frequency.

[0022] The washing equipment may include a water level sensor, an oscillation circuit connected to the water level sensor, and an oscillation circuit that converts changes in water level into a measurable frequency signal. A frequency measuring device is used to measure the frequency of the oscillation circuit. A resonant frequency calculation formula is used to calculate the water level parameter based on the frequency of the oscillation circuit. Specifically, when the washing equipment starts washing clothes, the frequency measuring device can obtain the frequency f of the oscillation circuit, and substitute the frequency of the oscillation circuit into the resonant frequency formula: C represents the capacitance, and L represents the inductance. L can be directly measured and can be obtained using the resonant frequency formula. Furthermore, based on the mapping relationship between water level and inductance value: h(L) = aL + b, the water level parameter h(L) is calculated. Here, a and b are predetermined calibration constants. A frequency measuring instrument can very accurately detect minute changes in water level, improving the accuracy of water level parameter determination.

[0023] Step 102: Determine the rotation cycle of the washing equipment based on the rotation direction of the inner drum.

[0024] The rotation cycle is defined as either clockwise or counterclockwise. Specifically, during the washing process, the inner drum of the washing machine rotates alternately in clockwise and counterclockwise directions. When the inner drum rotates clockwise, the water is subjected to centrifugal force, causing a change in water level. When the inner drum rotates counterclockwise, the water is also subjected to centrifugal force, but in the opposite direction, also causing a change in water level. In this solution, the rotation cycle can be defined based on the rotation direction of the inner drum; the time period of clockwise rotation is the clockwise rotation cycle, and the time period of counterclockwise rotation is the counterclockwise rotation cycle. For example, if the washing machine starts washing clothes at 8:00, and the inner drum rotates clockwise from 8:00 to 8:01, then the washing machine is in a clockwise rotation cycle from 8:00 to 8:01. If the inner drum rotates counterclockwise from 8:01 to 8:02, then the washing machine is in a counterclockwise rotation cycle from 8:01 to 8:02. By determining the rotation cycle, the pattern of water level changes can be analyzed more precisely, thereby allowing for more accurate detection of foam levels.

[0025] Step 103: For each rotation cycle, at the end of the current rotation cycle, calculate the current foam volume of the current rotation cycle based on the water level parameters of all rotation cycles prior to the end of the current rotation cycle.

[0026] The end of each rotation cycle is the moment when the inner cylinder's rotation direction changes. In one optional embodiment, there is a linear relationship between the foam volume and the water level parameter, and the foam volume can be determined based on the water level parameter. At the end of each rotation cycle, the water level change for each rotation cycle is calculated. For example, the difference in water level parameter between the end of the cycle and the beginning of the cycle can be calculated: Δh = h 结束 -h 开始 h 结束 h represents the water level at the end of the rotation cycle. 开始The water level is the value at the end of the rotation cycle. After obtaining the difference in water level parameters, the candidate foam quantity for the current rotation cycle is calculated based on the difference in water level parameters and the linear relationship: F ​​= k·Δh + m; where F is the candidate foam, and k and m are constants determined in advance based on a large number of experiments. Further, the average, median, or other statistical values ​​of the water level changes for all rotation cycles before the end of the cycle are calculated. Taking the average as an example, after calculating the average of the water level changes for all rotation cycles before the end of the cycle, the current foam quantity for the current rotation cycle is calculated based on the predefined comprehensive factor, the average value, and the candidate foam quantity: Among them, F 当前 The current bubble volume is the current volume of the current rotation cycle, and α is a comprehensive factor. Let n be the average value, and n be a predetermined constant.

[0027] In one optional implementation, at the end of the current rotation cycle, the current water level representative value of the current rotation cycle is calculated based on the water level parameters of the current rotation cycle; the current weight of the current rotation cycle and the adjacent weights of the rotation cycles adjacent to the current rotation cycle are determined according to a pre-set weight calculation method; the current water level representative value and the adjacent representative values ​​are weighted and summed based on the current weight and the adjacent weights to obtain the first weighted average value of the current rotation cycle; the minimum and maximum values ​​of all rotation cycles before the current rotation cycle and the first weighted average value of the current rotation cycle are determined, and the difference between the minimum and maximum values ​​is calculated; the current foam volume is determined based on the difference and the pre-determined correspondence between each difference level and the foam volume.

[0028] Step 104: Adjust the first operating parameters of the washing equipment based on the current foam volume, and control the washing equipment based on the first operating parameters.

[0029] The first operating parameter is a parameter that controls the washing equipment to wash clothes. This parameter includes, but is not limited to, water intake, drum rotation / stop ratio, heating rate, and detergent dosage. Specifically, during the washing process, too much or too little foam will negatively impact the washing effect. Too much foam may lead to detergent residue, affecting subsequent rinsing; too little foam will prevent the detergent from effectively removing dirt, resulting in incomplete cleaning. Therefore, after determining the current foam amount for the current cycle, the first operating parameter can be adjusted accordingly to improve the washing effect. For example, when there is a lot of foam, the water intake can be increased to dilute the foam; or the rotation / stop ratio can be reduced to decrease the drum's rotation time, reducing agitation and foam generation; or the heating rate can be lowered to use a lower water temperature to reduce foam generation. For example, when there is little foam, detergent can be added to increase foam generation; or the drum's rotation time can be increased to enhance agitation and foam generation; or the heating rate can be increased to use a higher water temperature to increase foam generation.

[0030] The solution of this application involves acquiring the water level parameters and inner drum rotation direction of the washing equipment at the current moment when the washing equipment is in washing mode; determining the rotation cycle of the washing equipment based on the inner drum rotation direction; the rotation cycle being either clockwise or counterclockwise; for each rotation cycle, at the end of the current rotation cycle, calculating the current foam volume based on the water level parameters of all rotation cycles prior to the end of the current rotation cycle; wherein the end of the rotation cycle is the moment when the inner drum rotation direction changes; adjusting the first operating parameter of the washing equipment based on the current foam volume, and controlling the washing equipment based on the first operating parameter. In other words, the solution of this application divides the rotation cycle according to the inner drum rotation direction, and at the end of each rotation cycle, comprehensively analyzes the water level parameters of all rotation cycles prior to the end of the cycle, rather than relying solely on data from a single moment. This reduces misjudgments of foam volume caused by short-term fluctuations or noise, and improves the accuracy of real-time foam volume determination. Dynamically adjusting the first operating parameter of the washing equipment based on the foam volume ensures that the washing equipment is always in optimal condition during the washing process, reducing ineffective washing time caused by excessive or insufficient foam volume, and improving washing efficiency.

[0031] Figure 2 This is another schematic diagram of the washing equipment control method provided in this application. This embodiment is... Figure 1 The embodiments and various optional implementation schemes shown are further refined. For example... Figure 2 As shown, the method may include the following steps:

[0032] Step 201: When the washing equipment is in the washing state, obtain the water level parameters and inner drum rotation direction of the washing equipment at the current moment.

[0033] Step 202: Determine the rotation cycle of the washing equipment based on the rotation direction of the inner drum.

[0034] The rotation period is either clockwise or counterclockwise.

[0035] Step 203: For each rotation cycle, at the end of the current rotation cycle, calculate the representative value of the current water level for the current rotation cycle based on the water level parameters of the current rotation cycle.

[0036] The representative water level value reflects the water level parameters of the current rotation cycle. Based on the water level parameters obtained at various moments within the current rotation cycle, the current representative water level value for the current rotation cycle can be determined. The current representative water level value can be the average, median, or other statistical value of the water level parameters within the current rotation cycle.

[0037] Step 204: Determine the current weight of the current rotation cycle and the adjacent weights of the rotation cycles adjacent to the current rotation cycle according to the pre-set weight calculation method.

[0038] The weighting calculation method is pre-determined based on domain big data. The current weight corresponds to the weight of the current rotation cycle. At the end of the current rotation cycle, the controller can only obtain data from rotation cycles prior to the end of the current cycle. Therefore, the adjacent rotation cycle is the previous rotation cycle, and the adjacent weight is the weight of the adjacent rotation cycle. If the current rotation cycle is the first rotation cycle in the washing process, the water level representative value of the current rotation cycle is directly determined as its corresponding first weighted average. Specifically, the water level parameter may fluctuate in different rotation cycles. By weighted summation, these fluctuations can be smoothed, the influence of noise can be reduced, and the trend of foam volume changes can be more accurately reflected. After obtaining the current rotation parameters of the current rotation cycle, the current weight of the current rotation cycle and the adjacent weight of the rotation cycles adjacent to the current rotation cycle are determined. In this scheme, the weighting calculation method sets the weight to be greater the closer the data is to the current rotation cycle. For example, when calculating the foam volume of the current rotation cycle, the current weight of the current rotation cycle can be set to 0.7, and the weight of the adjacent rotation cycle can be set to 0.3.

[0039] Step 205: Calculate the current foam volume based on the current weight, adjacent weights, current water level representative value, all rotation cycles before the current rotation cycle, and predetermined adjacent representative values.

[0040] The adjacent representative value is the water level representative value of the rotation cycle adjacent to the current rotation cycle. The adjacent representative value is calculated at the end of the adjacent rotation cycle (the rotation cycle preceding the current rotation cycle). The current foam volume is the foam volume of the current rotation cycle. In this scheme, the current foam volume is calculated based on the current weight, adjacent weight, current water level representative value, all rotation cycles preceding the current rotation cycle, and predetermined adjacent representative values, including the following steps A1-A3:

[0041] Step A1: Based on the current weight and the weights of adjacent values, perform a weighted summation of the current water level representative value and the adjacent representative value to obtain the first weighted average value of the current rotation cycle.

[0042] The first weighted average is the weighted average corresponding to the rotation cycle during the washing process. Specifically, after obtaining the current weight and adjacent weights, the current water level representative value and adjacent representative values ​​can be weighted and summed based on the current weight and adjacent weights to obtain the first weighted average for the current rotation cycle. For example, if the current weight is 0.7, the adjacent weight is 0.3, the current water level representative value is a, and the adjacent representative value is b, then the first weighted average for the current rotation cycle is (0.7×a+0.3×b) / 2.

[0043] Step A2: Determine the minimum and maximum values ​​among all rotation cycles prior to the current rotation cycle and the first weighted average of the current rotation cycle, and calculate the difference between the minimum and maximum values.

[0044] Specifically, after determining the first weighted average value for the current cycle, the first weighted average value for all previous rotation cycles is obtained. The minimum and maximum values ​​are then determined from the first weighted average values ​​of all previous rotation cycles and the current rotation cycle, and the difference between the minimum and maximum values ​​is calculated. For example, if the current cycle is the 5th rotation cycle, and the first weighted average values ​​for the 5 rotation cycles are 7, 6, 5, 5, and 6, then the minimum value is determined to be 5, the maximum value to be 7, and the difference between them is 2.

[0045] Step A3: Determine the current foam quantity based on the difference and the pre-determined correspondence between each difference level and the foam quantity.

[0046] The correspondence between each difference level and foam amount is related to the weight of the clothes being washed by the washing equipment; different weights of clothes correspond to different difference levels and foam amounts. In this solution, before the washing equipment processes the clothes, the following steps are also included: obtaining the weight of the clothes to be washed; and based on the weight of the clothes and a pre-determined weight-foam relationship, obtaining the correspondence between each difference level and foam amount corresponding to the weight of the clothes.

[0047] The weight-foam relationship is a pre-determined relationship based on domain big data, used to determine the correspondence between various weight difference levels and foam volume for different garment weights. Specifically, when a user places clothes into the washing machine, the machine can determine the correspondence between the garment weight's weight, various weight difference levels, and foam volume using the pre-determined weight-foam relationship. For example, there are three weight difference levels: a first weight difference level, a second weight difference level, and a third weight difference level. The garment weight is also categorized into three weight levels: a first weight level, a second weight level, and a third weight level. The correspondence between the weight difference level and foam volume differs for each weight level. An example weight-foam relationship is shown in the table below:

[0048] First Difference Level Second Difference Level Third Difference Level First weight class Foam volume 30 Foam volume 40 Foam volume 50 Second weight class Foam volume 20 Foam volume 30 Foam volume 40 Third weight class Foam volume 10 Foam volume 20 Foam volume 30

[0049] If the garment weight falls into the first weight category, the correspondence between each difference category and the amount of foam is determined as follows: First difference category: foam amount 30; Second difference category: foam amount 40; Third difference category: foam amount 50. Further, after determining the difference between the minimum and maximum values, the difference category of that difference is determined. Based on the correspondence between each difference category corresponding to the weight of the garment to be processed and the amount of foam, the current amount of foam for the current cycle is determined.

[0050] By using a weighted summation method, the system comprehensively considers the water level representative values ​​of the current rotation cycle and its adjacent rotation cycles, reducing misjudgments caused by fluctuations in a single data point. The current foam quantity is determined based on the difference and a pre-defined correspondence between various difference levels and foam quantity, improving the accuracy of foam quantity assessment. Simultaneously, it can adapt to different garment weights, optimizing washing effects and improving washing efficiency.

[0051] Step 206: Adjust the first operating parameters of the washing equipment based on the current foam volume, and control the washing equipment based on the first operating parameters.

[0052] The proposed solution uses a weighted summation method to comprehensively consider the water level representative values ​​of the current rotation cycle and its adjacent rotation cycles, reducing misjudgments caused by fluctuations in a single data point. This solution can adapt to clothes of different weights and different washing programs, improving the stability and consistency of washing results.

[0053] Figure 3 This is a schematic diagram of the third process of the washing equipment control method provided in this application. This embodiment describes in detail the steps after the washing equipment finishes washing. Figure 3 As shown, the method may include the following steps:

[0054] Step 301: When the washing equipment is in the state of finishing washing, record the water level representative value for all rotation cycles when the washing equipment is in the washing state.

[0055] Specifically, after the washing cycle is complete, the washing machine enters a subsequent rinsing stage to remove the foam generated during the washing process. At the end of the wash cycle, the controller can obtain the water level representative values ​​for all rotation cycles of the washing machine during the washing process.

[0056] Step 302: For each rotation cycle, calculate the second weighted average value of the current rotation cycle based on the representative water level value of the current rotation cycle and the representative water level values ​​of the two rotation cycles adjacent to the current rotation cycle.

[0057] The second weighted average is the weighted average of the water level representative values ​​corresponding to the rotation cycle calculated by the controller after the washing phase ends. Since the washing phase has ended at this point, each rotation cycle has two adjacent rotation cycles, except for the first and last rotation cycles of the washing phase. After obtaining the water level representative values ​​for all rotation cycles, for each rotation cycle, the water level representative value of the current rotation cycle and the water level representative values ​​of the two adjacent rotation cycles are calculated, and the second weighted average of the water level representative values ​​for the current rotation cycle is calculated. For the first and last rotation cycles, only the weighted average of the water level representative values ​​of the current cycle and the one adjacent rotation cycle can be calculated.

[0058] For example, suppose there are 5 rotation cycles with water level parameters of 1000, 1020, 1040, 1060, and 1080. Assume the current rotation cycle is the third rotation cycle (water level parameter 1060), and determine the weight values ​​for the second, current, and fourth rotation cycles as 0.2, 0.6, and 0.2, respectively. Then the second weighted average value for the current rotation cycle is: (0.2 × 1020 + 0.6 × 1040 + 0.2 × 1060) / 3.

[0059] Step 303: Calculate the final foam volume based on the second weighted average of all rotation cycles.

[0060] The final foam quantity refers to the amount of foam present when the washing equipment is in the final washing state. In this solution, the final foam quantity is calculated based on the second weighted average of all rotation cycles, including the following steps B1-B2:

[0061] Step B1: Determine the target minimum value among the second weighted averages of all rotation cycles; determine the target maximum value among the second weighted averages of all rotation cycles preceding the rotation cycle in which the target minimum value is located.

[0062] Specifically, after obtaining the second weighted average of all rotation cycles, the minimum value is determined from all the second weighted averages as the target minimum value. After determining the target minimum value, the maximum value is determined from all rotation cycles preceding the rotation cycle corresponding to the target minimum value as the target maximum value. For example, there are ten rotation cycles, and the second weighted averages corresponding to the ten rotation cycles are: 1020, 1025, 1030, 1025, 1040, 1010, 1065, 1040, 1045, and 1035. Then the target minimum value can be determined to be 1010, and the target maximum value to be 1040.

[0063] Step B1: Calculate the target difference between the target maximum and the target minimum, and determine the final bubble amount based on the target difference.

[0064] Specifically, after obtaining the target maximum and target minimum values, the target difference between the target maximum and target minimum values ​​is calculated. The target difference level to which the target difference belongs is determined based on pre-defined target difference level classifications. In the pre-defined correspondence between each difference level and foam quantity, the foam quantity corresponding to the target difference level to which the target difference belongs is determined, and this foam quantity is defined as the final foam quantity.

[0065] Step 304: Adjust the second operating parameters of the washing equipment based on the final foam volume, and control the washing equipment based on the second operating parameters.

[0066] The second operating parameter controls the washing machine's rinsing process, and includes, but is not limited to, the number of rinses and the rinsing time. At the end of the wash cycle, the amount of foam directly affects the subsequent rinsing effect. Therefore, after determining the final foam amount, the second operating parameter can be adjusted accordingly. For example, when the final foam amount is high, the number of rinses or the single rinsing time can be increased to better eliminate the foam. When the final foam amount is low, the number of rinses or the single rinsing time can be reduced to avoid wasting resources.

[0067] The proposed solution, at the end of the washing stage, uses a weighted average method to comprehensively consider the water level representative values ​​of each rotation cycle in the washing stage, reducing the impact of data fluctuations and obtaining a more stable and accurate foam quantity. Adjusting the operating parameters of the rinsing stage based on the foam quantity can optimize the rinsing effect, ensure that the rinsing stage can effectively remove residual foam, improve the rinsing effect, and at the same time reduce unnecessary rinsing times and duration, saving water resources and energy.

[0068] Figure 4 This is a structural schematic diagram of the washing equipment provided in this application. Figure 4 As shown, the washing equipment 40 includes a controller 400 and a motor 401.

[0069] The controller 400 is used to execute the washing equipment control method of any embodiment of this application. The motor 401 is connected to the controller 400 and is used to operate according to the first operating parameters under the control of the controller 400.

[0070] Optionally, the washing device 40 may also include a water level parameter detector. When the washing device 40 is in washing mode, the controller can obtain the water level parameter of the washing device 40 through the water level parameter detector. The water level parameter detector can be a capacitive digital sensor, an air pressure detector, or a frequency measuring device, etc. The washing device 40 may also include an inner drum rotation direction measuring instrument. The controller can obtain the inner drum rotation direction of the washing device 40 through the inner drum rotation direction measuring instrument. After determining the water level parameter and the inner drum rotation direction, the controller determines the rotation cycle of the washing device 40 based on the inner drum rotation direction. For each rotation cycle, at the end of the current rotation cycle, the controller calculates the current foam volume of the current rotation cycle based on the water level parameters of all rotation cycles before the end of the current rotation cycle. The controller 400 can adjust the first operating parameters of the washing device 40 based on the current foam volume and control the motor 401 to operate according to the first operating parameters.

[0071] The specific working process and beneficial effects of the washing equipment and various optional implementation methods in this embodiment can be referred to the corresponding processes and beneficial effects in the foregoing method embodiments, and will not be repeated here.

[0072] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can occur depending on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for controlling a washing machine, characterized in that, The method includes: When the washing equipment is in washing mode, the water level parameters and inner drum rotation direction of the washing equipment at the current moment are obtained; The rotation cycle of the washing device is determined based on the rotation direction of the inner drum; the rotation cycle is either a clockwise rotation cycle or a counterclockwise rotation cycle. For each rotation cycle, at the end of the current rotation cycle, the current foam volume of the current rotation cycle is calculated based on the water level parameters of all rotation cycles prior to the end of the current rotation cycle; wherein, the end of the rotation cycle is the moment when the rotation direction of the inner cylinder changes. The washing equipment is adjusted based on the current foam volume, and the washing equipment is controlled based on the first operating parameters.

2. The method according to claim 1, characterized in that, Obtaining the water level parameters of the washing equipment at the current moment includes: The frequency of the oscillation circuit of the washing device at the current moment is obtained by a pre-set frequency measuring device; The water level parameters are calculated based on the frequency and a predetermined resonant frequency.

3. The method according to claim 1, characterized in that, The current foam volume for the current rotation cycle is calculated based on the water level parameters of all rotation cycles prior to the end of the current cycle, including: Calculate the representative value of the current water level for the current rotation cycle based on the water level parameters for the current rotation cycle; The current weight of the current rotation cycle and the adjacent weights of the rotation cycles adjacent to the current rotation cycle are determined according to a pre-set weight calculation method. The current foam volume is calculated based on the current weight, the adjacent weight, the current water level representative value, all rotation cycles prior to the current rotation cycle, and the predetermined adjacent representative value; wherein, the adjacent representative value is the water level representative value of the rotation cycle adjacent to the current rotation cycle.

4. The method according to claim 3, characterized in that, The current foam quantity is calculated based on the current weight, the adjacent weight, the current water level representative value, all rotation cycles prior to the current rotation cycle, and predetermined adjacent representative values, including: Based on the current weight and the adjacent weight, the current water level representative value and the adjacent representative value are weighted and summed to obtain the first weighted average value of the current rotation cycle; Determine the minimum and maximum values ​​among all rotation cycles prior to the current rotation cycle and a first weighted average of the current rotation cycle, and calculate the difference between the minimum and the maximum values; The current foam quantity is determined based on the difference and the pre-determined correspondence between each difference level and the foam quantity.

5. The method according to claim 4, characterized in that, Before acquiring the water level parameters and the inner drum rotation direction from the start to the end of the washing process, the method further includes: Get the weight of the clothes to be washed; Based on the weight of the clothing and the predetermined weight-foam relationship, the correspondence between the various difference levels corresponding to the weight of the clothing and the amount of foam is obtained.

6. The method according to claim 1, characterized in that, The first operating parameters include, but are not limited to, water inlet volume, inner drum rotation / stop ratio, heating rate, and detergent dosage.

7. The method according to claim 1, characterized in that, The method further includes: When the washing equipment is in the state of finishing washing, record the water level representative value of all rotation cycles when the washing equipment is in the washing state; For each rotation cycle, a second weighted average value for the current rotation cycle is calculated based on the representative water level value of the current rotation cycle and the representative water level values ​​of the two rotation cycles adjacent to the current rotation cycle. The final foam amount is calculated based on the second weighted average of all rotation cycles; wherein, the final foam amount is the amount of foam when the washing equipment is in the state of ending the wash. The second operating parameter of the washing equipment is adjusted based on the final foam volume, and the washing equipment is controlled based on the second operating parameter.

8. The method according to claim 7, characterized in that, The final foam volume is calculated based on the second weighted average of all rotation cycles, including: Determine the target minimum value from the second weighted average of all rotation cycles; The target maximum value is determined from the weighted average of all rotation cycles preceding the rotation cycle in which the target minimum value is located; Calculate the target difference between the target maximum value and the target minimum value, and determine the final foam amount based on the target difference.

9. The method according to claim 7, characterized in that, The second operating parameter includes, but is not limited to, the number of rinses and the rinsing time.

10. A washing device, characterized in that, The washing equipment includes a controller and a motor; wherein the controller is connected to the motor; The controller is configured to perform the washing equipment control method as described in any one of claims 1 to 9; The motor is used to operate according to the first operating parameters under the control of the controller.

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