A water level control method of a laundry treating apparatus and a laundry treating apparatus

Abstract

This invention provides a water level control method and a garment processing device, the garment processing device including a washing drum; the washing process of the garment processing device includes an evaluation stage performed first and a washing stage performed later; the water level control method includes: inferring a preferred water level frequency range required for the washing stage in the evaluation stage; controlling the water level in the washing drum during the washing stage based at least on the preferred water level frequency range; by pre-inferring the preferred water level frequency range required for the washing stage in the evaluation stage, this method can determine a water level target matching the current washing conditions before the start of washing; compared with existing solutions that rely on detergent addition adjustment or passive defoaming, this method directly starts from the dynamic characteristics of the water level, giving the water level control during the washing stage a feedforward adaptive capability, thereby maintaining the foam concentration within an optimal range that is conducive to stain removal without reducing the mechanical rinsing force.

Description

Technical Field

[0001] This invention belongs to the field of clothing processing technology, and particularly relates to a water level control method and clothing processing equipment for clothing processing. Background Technology

[0002] Traditional washing machines typically improve washing performance by simply adjusting the parameters of the washing mode, without fully considering the impact of foam concentration on the washing effect. Foam, as a dispersion system produced by surfactants mixed with water, directly affects the detergency of the washing process: too low a foam concentration will reduce the detergency of the detergent; too high a foam concentration will reduce the mechanical rinsing force, prolong rinsing time, and increase energy consumption.

[0003] In existing technologies, closed-loop regulation based on foam concentration as a feedback signal has emerged. However, these technologies still have the following shortcomings: Some solutions adjust the detergent dosage based on foam concentration feedback, such as determining the detergent type by detecting the foam growth rate and controlling the detergent dosage accordingly. The core logic of this type of method is to indirectly regulate foam concentration by changing the detergent dosage, but its control object is not the water level in the washing drum, and therefore it cannot directly and feedforward optimize the foam concentration from the perspective of water level dynamic characteristics. Other solutions use time-series rules to control the washing process, such as judging the foam concentration by the water level frequency value sensed by a water level sensor and performing defoaming operation when excessive foam is detected. This type of time-series control solution lacks adaptability and cannot dynamically adjust the water level in the washing drum according to the real-time changes in foam concentration during the washing process. Moreover, its defoaming treatment is often passively triggered after the foam has accumulated to an excessive level, failing to achieve feedforward water level optimization control. Summary of the Invention

[0004] In view of this, the present invention provides a water level control method and a clothing processing device to solve the problem that the existing water level control scheme of washing machines fails to effectively utilize the foam concentration information in the pre-washing stage to predict the optimal water level conditions required in the washing stage, resulting in insufficient synergistic optimization between water level control and foam concentration.

[0005] This invention provides a water level control method for a garment processing device, the garment processing device including a washing drum; the washing process of the garment processing device includes a pre-executed evaluation stage and a post-executed washing stage; the water level control method includes: The preferred water level frequency range required for the washing stage is deduced during the evaluation phase. The water level in the washing drum during the washing stage is controlled at least based on the preferred water level frequency range. Among them, the preferred water level frequency range represents the preferred foam concentration range.

[0006] Further optionally, during the evaluation phase, washing water and detergent are added to the washing drum and the drum is controlled to rotate; the step of inferring the preferred water level frequency range required for the washing phase during the evaluation phase includes: Collect washing information related to the foam concentration in the wash water; Based on the washing information, the preferred foam concentration range required for the washing stage is deduced; Based on the preferred foam concentration range and the washing information, a preferred water level frequency range is inferred. The washing information includes at least one of the following: load information, washing water information, and detergent information.

[0007] Further optionally, the load information includes at least one of load weight and load type, the washing water information includes at least one of washing water dosage and washing water temperature, and the detergent information includes at least one of detergent dosage and detergent type.

[0008] Further optionally, the amount of washing water added includes the amount of washing water pre-added during the evaluation stage and the theoretical amount of washing water required for the washing stage, and the amount of detergent added includes the amount of detergent pre-added during the evaluation stage and the theoretical amount of detergent required for the washing stage. The load weight is obtained by weighing before adding water in the evaluation stage; the load type and the appropriate detergent type are selected by the user through the operation interface of the clothing processing equipment; the pre-dispensing amount of washing water and detergent are both set by the user; the theoretical dispensing amount of washing water and detergent are both determined based on the load weight; the pre-dispensing amount of washing water is less than the theoretical dispensing amount of washing water, and the pre-dispensing amount of detergent is less than the theoretical dispensing amount of detergent.

[0009] Further optionally, the washing water temperature and detergent type are the same in the evaluation stage and the washing stage; the step of inferring the preferred foam concentration range required for the washing stage based on the washing information includes: During the evaluation phase, based on the load weight, load type, washing water temperature, and detergent type, a baseline pattern is established for the change of foam concentration in the washing drum with the pre-dosage of washing water and detergent. Based on the theoretical dosage of washing water and detergent, and in conjunction with the benchmark rules, the optimal foam concentration range required for the washing stage is deduced.

[0010] Further optionally, the step of inferring the preferred water level frequency range based on the preferred foam concentration range and the washing information includes: Based on the preset mapping relationship between foam concentration and water level frequency, and combined with the preferred foam concentration range, theoretical dosage of washing water and theoretical dosage of detergent, the preferred water level frequency range is inferred.

[0011] Further optionally, controlling the water level during the washing stage based at least on the preferred water level frequency range includes: During the washing stage, according to the preferred water level frequency range, the addition of washing water and detergent to the washing drum is controlled, thereby controlling the water level in the washing drum so that the foam concentration in the washing drum is within the preferred foam concentration range.

[0012] Further optionally, the garment processing equipment further includes a first dispensing component and a second dispensing component, the first dispensing component being used to dispense washing water into the washing drum, and the second dispensing component being used to dispense detergent into the washing drum; the control of dispensing washing water and detergent into the washing drum, thereby controlling the water level in the washing drum, includes: Obtain the real-time water level frequency inside the washing drum; Determine whether the real-time water level frequency is within the preferred water level frequency range; Based on the determination result that the real-time water level frequency is within the preferred water level frequency range, the first dispensing component and the second dispensing component are controlled, thereby controlling the water level in the washing drum.

[0013] Further optionally, controlling the first and second dispensing components based on the determination result that the real-time water level frequency is within the preferred water level frequency range includes: When the real-time water level frequency is lower than the minimum threshold of the preferred water level frequency range, the first dispensing component is controlled to dispense washing water into the washing drum and / or the second dispensing component is controlled to dispense detergent into the washing drum until the real-time water level frequency rises to the preferred water level frequency range. When the real-time water level frequency is within the preferred water level frequency range, the first dispensing component is controlled to intermittently dispense washing water into the washing drum and / or the second dispensing component is controlled to intermittently dispense detergent into the washing drum; When the real-time water level frequency is higher than the maximum threshold of the preferred water level frequency range, the first dispensing component is controlled to stop dispensing washing water into the washing drum and the second dispensing component is controlled to stop dispensing detergent into the washing drum until the real-time water level frequency drops to within the preferred water level frequency range.

[0014] Further optionally, the amount of washing water added includes the real-time amount of washing water added during the washing stage, and the amount of detergent added includes the real-time amount of detergent added during the washing stage; the step of inferring the preferred water level frequency range based on the preferred foam concentration range and the washing information includes: During the washing stage, the real-time dosage of washing water and detergent is obtained. The real-time dosage of washing water, the real-time dosage of detergent, and the preferred foam concentration range are input into a pre-trained water level frequency model. The water level frequency model is controlled to output a preferred water level frequency range; The water level frequency model pre-establishes the correspondence between the amount of washing water, the amount of detergent, the foam concentration range, and the water level frequency range.

[0015] Alternatively, the water level frequency model can be a one-dimensional convolutional neural network model.

[0016] Further optionally, controlling the water level in the washing drum during the washing stage based at least on the preferred water level frequency range includes: Generate optimal water level control commands based on the preferred water level frequency range; The water level in the washing drum during the washing stage is dynamically controlled according to the optimal water level control command.

[0017] The present invention also provides a garment processing device, characterized in that it employs the water level control method of any of the above-described garment processing devices.

[0018] Compared with the prior art, the main advantages of the present invention are as follows: By pre-calculating the optimal water level frequency range required for the washing stage during the evaluation phase, this method can determine the target water level that matches the current washing conditions (such as load weight, detergent type, and washing water temperature) before the start of washing. Compared with existing solutions that rely on detergent dosing or passive defoaming, this method starts directly from the dynamic characteristics of the water level, giving the water level control during the washing stage a feedforward adaptive capability, thereby maintaining the foam concentration within the optimal range that is conducive to stain removal without reducing the mechanical rinsing force. Attached Figure Description

[0019] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0020] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0021] Figure 1 A schematic flowchart of Embodiment 1 of the water level control method for the clothing processing equipment provided by the present invention; Figure 2 A schematic flowchart of Embodiment 3 of the water level control method for the clothing processing equipment provided by the present invention; Figure 3 A graph showing the relationship between the frequency F of the water level in the washing drum and the water level H provided by the present invention; Figure 4 The curve of water level frequency in the washing drum changing over time (corresponding to the suitable range of foam concentration) provided by the present invention; Figure 5 The curve of water level frequency in the washing drum changing over time (corresponding to the range of high foam concentration) provided by the present invention; Figure 6 The curve of water level frequency in the washing drum changing over time (corresponding to the excessive foam concentration range) provided by the present invention; Figure 7 This is a schematic diagram of an embodiment of the water level frequency model provided by the present invention. Detailed Implementation

[0022] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” used in the embodiments of this invention and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. “Multiple” generally includes at least two, but does not exclude the inclusion of at least one.

[0024] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0025] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a product or system comprising a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a product or system. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the product or system that includes said element.

[0026] Existing technical solutions have the following shortcomings: Some solutions adjust the detergent dosage based on foam concentration feedback; these methods only focus on the dynamic adjustment of detergent dosage, and their core logic is to indirectly affect foam concentration by changing the detergent dosage, but they fail to directly optimize foam concentration based on the dynamic characteristics of the water level in the washing drum. Other solutions use time-series rules to control the washing process. These time-series control solutions lack adaptive capabilities and cannot dynamically adjust the water level in the washing drum according to real-time changes in foam concentration during the washing process. This invention creatively provides a water level control method for a garment processing device, the garment processing device including a washing drum; the washing process of the garment processing device includes an evaluation stage performed first and a washing stage performed later; the water level control method includes: inferring a preferred water level frequency range required for the washing stage in the evaluation stage; and controlling the water level in the washing drum during the washing stage based at least on the preferred water level frequency range; By pre-calculating the optimal water level frequency range required for the washing stage during the evaluation phase, this method can determine the water level target that matches the current washing conditions before the washing begins. Compared with existing solutions that rely on detergent dosage adjustment or passive defoaming, this method starts directly from the dynamic characteristics of the water level, giving the water level control during the washing stage a feedforward adaptive capability, thereby maintaining the foam concentration within the optimal range that is conducive to stain removal without reducing the mechanical rinsing force.

[0027] Example 1 like Figure 1As shown, this embodiment provides a water level control method for a clothing processing device. The clothing processing device includes a washing drum, a first dispensing component, and a second dispensing component. The first dispensing component is used to dispense washing water into the washing drum, and the second dispensing component is used to dispense detergent into the washing drum. The washing process of the clothing processing device includes an evaluation stage performed first and a washing stage performed later. Before the evaluation stage, the user puts the clothes to be washed into the washing drum. During the evaluation stage, the first dispensing component is controlled to dispense washing water into the washing drum, the second dispensing component is controlled to dispense detergent into the washing drum, and the washing drum is controlled to rotate. During the washing stage, the first dispensing component continues to dispense washing water into the washing drum, but the second dispensing component is no longer controlled to dispense detergent into the washing drum. Water level control methods include: S1. Determine the optimal water level frequency range required for the washing stage during the evaluation phase; S2. Control the water level in the washing drum during the washing stage based at least on the preferred water level frequency range; Among them, the preferred water level frequency range represents the preferred foam concentration range.

[0028] In this way, the following technical effects can be achieved: (1) Since the water level during the washing stage is controlled within the pre-determined optimal water level frequency range, the reduced cleaning power caused by insufficient foam concentration due to low water level is avoided, as is the reduced mechanical rinsing force and increased rinsing difficulty caused by excessive foam concentration due to high water level. Therefore, this method can effectively improve the washing effect per unit time and reduce the number of additional rinsings required due to foam residue, thereby shortening the overall washing cycle. (2) Precisely controlling the water level during the washing stage, keeping it within the optimal water level frequency range, can reduce unnecessary water injection or excessive water usage, and avoid repeated water injection to defoam or prolong the rinsing process due to excessive foam; this directly reduces the consumption of electricity and water during the washing process, achieving energy and water saving effects. (3) This method does not rely on fixed timing rules or manual settings, but automatically infers the optimal water level frequency range suitable for the current working conditions through the evaluation stage; therefore, even when faced with different loads, detergent types, water temperatures or water quality changes, the equipment can autonomously adjust the water level control strategy, improving the intelligence level and adaptability of the washing program. (4) Compared with the existing technology that triggers defoaming only after excessive foam, this method determines the water level frequency range before the washing stage, which is a feedforward optimization. This makes it easier to maintain the foam concentration at an ideal level throughout the washing process, reducing the problem of unstable mechanical scouring force and decreased washing performance caused by violent foam fluctuations.

[0029] Furthermore, S1 includes: S11. Collect washing information related to the foam concentration in the washing water; S12. Determine the optimal foam concentration range required for the washing stage based on the washing information; S13. Based on the preferred foam concentration range and washing information, infer the preferred water level frequency range; The washing information includes at least one of the following: load information, washing water information, and detergent information.

[0030] In this way, the following technical effects can be achieved: (1) During the evaluation phase, wash water and detergent are actually added to the washing drum and the washing drum is rotated. Based on this, washing information related to foam concentration (such as load information, wash water information, detergent information, etc.) is collected. It is possible to obtain characteristic data of foam generation in a dynamic environment similar to the actual washing process, so that the subsequent inferred optimal foam concentration range and optimal water level frequency range are more in line with the actual washing needs of the current batch of clothes, and improve the feedforward accuracy of water level control. (2) First, infer the optimal foam concentration range based on the washing information, and then infer the optimal water level frequency range based on this range and the washing information; decouple the "foam concentration target" from the "water level frequency execution parameter": first determine the optimal foam concentration range as the intermediate control target, and then map it to the executable water level frequency range; this is not only convenient for engineering implementation (the foam concentration range reflects the washing performance more intuitively), but also avoids the complex mapping of washing information to water level frequency directly, thus improving the interpretability and stability of the control strategy; (3) Washing information includes at least one of the following: load information (such as weight and type), washing water information (such as water volume and temperature) and detergent information (such as dosage and type). By collecting this multidimensional information, the method can adaptively adjust the preferred foam concentration range and the preferred water level frequency range according to the differences in actual load weight, clothing material, water temperature, detergent type and dosage.

[0031] The following further explains the washing information: the load information includes at least one of the load weight and the load type; the washing water information includes at least one of the washing water dosage and the washing water temperature; and the detergent information includes at least one of the detergent dosage and the detergent type.

[0032] Furthermore, the amount of washing water added includes the pre-added amount of washing water in the evaluation stage and the theoretical amount of washing water required in the washing stage; the amount of detergent added includes the pre-added amount of detergent in the evaluation stage and the theoretical amount of detergent required in the washing stage. The load weight is obtained by weighing before adding water during the evaluation stage. The load type and the type of detergent to be used are selected by the user on the operation interface of the garment processing equipment. The pre-dispensing amount of washing water and detergent are both set by the user. The theoretical dispensing amount of washing water and detergent are both determined based on the load weight. The pre-dispensing amount of washing water is less than the theoretical dispensing amount of washing water, and the pre-dispensing amount of detergent is less than the theoretical dispensing amount of detergent.

[0033] The following further explains step S12: In both the evaluation and washing stages, the washing water temperature and detergent type are the same; S12 includes: S121. During the evaluation phase, based on the load weight, load type, washing water temperature, and detergent type, a benchmark law is established for the change of foam concentration in the washing drum with the pre-dosage of washing water and detergent. S122. Based on the theoretical dosage of washing water and detergent, and combined with the benchmark rules, infer the optimal foam concentration range required for the washing stage.

[0034] In this way, the following technical effects can be achieved: (1) In the evaluation stage, the pre-dosage of washing water and detergent is less than the theoretical dosage in the washing stage. Under the same conditions of load weight, load type, washing water temperature and detergent type, a benchmark law of foam concentration change with the pre-dosage of washing water and detergent is constructed. This avoids excessive foam or insufficient cleaning caused by improper parameters in the washing stage, and reduces experimental consumption (water, detergent, electricity). It can efficiently obtain foam generation characteristics and provide a reliable basis for parameter optimization in the washing stage. (2) The washing water temperature and detergent type are the same in the evaluation stage and the washing stage, which eliminates the interference of washing water temperature and detergent chemical properties on foam generation behavior. This allows the benchmark law of foam concentration change with pre-addition amount of washing water and detergent constructed in the evaluation stage to be directly and accurately applied to the theoretical dosage conditions in the washing stage. (3) Based on the theoretical washing water volume and washing dosage required for actual washing, the corresponding foam concentration range is found on the established foam generation curve. Then, based on the principle of balancing the decontamination efficiency and mechanical rinsing force, the optimal foam concentration range is selected, thus realizing the forward-looking optimization of foam concentration in the washing stage.

[0035] The following provides a further explanation of step S13, which includes: Based on the preset mapping relationship between foam concentration and water level frequency, and combined with the preferred foam concentration range, theoretical dosage of washing water and theoretical dosage of detergent, the preferred water level frequency range is inferred.

[0036] In this way, the following technical effects can be achieved: (1) By using the pre-calibrated mapping relationship, the abstract foam concentration control target is directly converted into the physically measurable and controllable execution parameter of the water level frequency in the washing drum, which improves the generation speed of control instructions and helps the washing stage enter a stable and optimized state as early as possible. (2) When making inferences based on the mapping relationship, the theoretical dosage of washing water and the theoretical dosage of detergent are explicitly introduced; this means that the preset mapping relationship is established under the benchmark of specific water volume and detergent dosage. In actual inference, the theoretical dosage is corrected or the corresponding parameters are selected according to the current theoretical dosage, thereby avoiding the distortion of the foam concentration-water level frequency relationship caused by different water volume and detergent dosage, and improving the accuracy of the inference.

[0037] The following provides a further explanation of step S2, which includes: S21. During the washing stage, according to the preferred water level frequency range, the amount of washing water and detergent added to the washing drum is controlled, thereby controlling the water level in the washing drum so that the foam concentration in the washing drum is within the preferred foam concentration range.

[0038] In this way, the following technical effects can be achieved: (1) The preferred water level frequency range is used as the benchmark for real-time control. By adjusting the actions of adding washing water and adding detergent, the water level is actively maintained within the target range, thereby indirectly constraining the foam concentration within the preferred range. (2) By using the indirect control strategy of “controlling water level frequency → making foam concentration in the preferred range”, water level frequency is used instead of foam concentration as the controlled variable, which reduces hardware costs and ensures washing effect. (3) Since the ultimate control objective is to keep the foam concentration in the optimal foam concentration range, which is determined based on the balance between cleaning efficiency and mechanical rinsing force, it avoids that too low foam will lead to a decrease in cleaning, and avoids that too high foam will weaken the mechanical rinsing force and increase the difficulty of rinsing, thereby ensuring the optimal washing performance and resource utilization efficiency in real time during the washing stage.

[0039] Furthermore, the garment processing equipment also includes a first dispensing component and a second dispensing component, the first dispensing component being used to dispense washing water into the washing drum, and the second dispensing component being used to dispense detergent into the washing drum; S21 includes: S211. Obtain the real-time water level frequency inside the washing drum; S212. Determine whether the real-time water level frequency is within the preferred water level frequency range; S213. Based on the judgment result of whether the real-time water level frequency is within the preferred water level frequency range, control the first dispensing component and the second dispensing component, thereby controlling the water level in the washing drum.

[0040] The following provides a further explanation of step S213, which includes: When the real-time water level frequency is lower than the minimum threshold of the preferred water level frequency range, the first dispensing component is controlled to dispense washing water into the washing drum and / or the second dispensing component is controlled to dispense detergent into the washing drum until the real-time water level frequency rises to the preferred water level frequency range. When the real-time water level frequency is within the preferred water level frequency range, the first dispensing component is controlled to intermittently dispense washing water into the washing drum and / or the second dispensing component is controlled to intermittently dispense detergent into the washing drum. When the real-time water level frequency is higher than the maximum threshold of the preferred water level frequency range, the first dispensing component stops dispensing washing water into the washing drum and the second dispensing component stops dispensing detergent into the washing drum until the real-time water level frequency drops to within the preferred water level frequency range.

[0041] This embodiment also provides a garment processing device, which employs the water level control method of any of the garment processing devices described above.

[0042] The washing drum is equipped with a water inlet and a liquid inlet; the laundry treatment equipment also includes a controller. The first dispensing component includes a water inlet pipe and a water valve. The outlet end of the water inlet pipe is connected to the water inlet, and the inlet end of the water inlet pipe is connected in series with the water valve. The water valve is a solenoid valve and is communicatively connected to the controller. The controller can control the opening and closing of the water valve, thereby controlling the amount of washing water dispensed into the washing drum. The second dispensing component includes a liquid storage box, a liquid dispensing pipe, and a liquid dispensing pump. The liquid storage box is used to store detergent. The liquid storage box, the liquid dispensing pump, the liquid dispensing pipe, and the liquid inlet are connected in sequence. The liquid dispensing pump is communicatively connected to the controller. The controller controls the start and stop of the liquid dispensing pump, thereby controlling the amount of detergent dispensed into the washing drum. The garment processing equipment also includes a detection module, which includes a temperature sensor, a weight sensor, and a water level sensor. The temperature sensor is used to detect the temperature of the water in the washing drum, the weight sensor is used to detect the load weight in the washing drum, and the water level sensor is used to detect the water level in the washing drum. The washing drum and the drive motor are connected to drive the washing drum to rotate; The controller is connected to the drive motor, water valve, liquid pump, temperature sensor, weight sensor, and water level sensor. It is used to control the opening and closing of the water valve, the start and stop of the liquid pump, and the start and stop of the drive motor based on the data transmitted by the temperature sensor, weight sensor, and water level sensor, thereby enabling the laundry processing equipment to operate the washing process.

[0043] Example 2 Unlike Example 1, this example further proposes that the washing water dosage includes the real-time washing water dosage during the washing stage, and the detergent dosage includes the real-time detergent dosage during the washing stage; based on the preferred foam concentration range and washing information, the preferred water level frequency range includes: During the washing stage, the real-time volume of washing water and detergent is obtained. Input the real-time washing water volume, real-time detergent volume, and the optimal foam concentration range into the pre-trained water level frequency model; The water level frequency model outputs the optimal water level frequency range; Among them, the water level frequency model pre-established the correspondence between the amount of washing water, the amount of detergent, the foam concentration range and the water level frequency range.

[0044] Furthermore, the water level frequency model is a one-dimensional convolutional neural network model.

[0045] In this way, the following technical effects can be achieved: (1) During the washing stage, the real-time addition of washing water and the real-time addition of detergent change dynamically over time, forming a one-dimensional sequence. The water level frequency model slides on the time dimension through the convolution kernel, and can automatically learn the nonlinear mapping relationship between the addition change pattern (such as incremental rate and cumulative amount) and foam generation and water level frequency, and can more accurately predict the optimal water level frequency range under the current working conditions. (2) The water level frequency model can be deployed on the low-cost controller of the garment processing equipment. After acquiring the dosage data in real time during the washing stage, it can quickly output the optimal water level frequency range to meet the requirements of dynamic water level adjustment for response speed. The foam concentration has highly nonlinear and time-delay characteristics as the water volume, detergent dosage, water temperature, load type and other factors change. The water level frequency model can learn the implicit features (such as the cumulative effect of multiple consecutive water additions, the impulse response of dosage, etc.) from the original dosage sequence from end to end. There is no need to manually design feature extraction rules, thereby improving the adaptive capability of the entire water level control method.

[0046] Therefore, S2 includes: Generate optimal water level control commands based on the preferred water level frequency range; The water level in the washing drum is dynamically controlled according to the optimal water level control command during the washing stage.

[0047] In this way, the following technical effects can be achieved: (1) "Dynamically control the water level in the washing drum during the washing stage according to the optimal water level control command"; where "dynamic control" means that during the execution process, the system can continuously adjust the output of the control command according to the real-time detected water level frequency (or other feedback quantity) so that the actual water level is kept within the optimal water level frequency range; dynamic control can effectively deal with water level fluctuations caused by factors such as clothes tumbling, foam generation or dissipation, and water temperature changes during the washing process, thereby ensuring that the foam concentration is always within the optimal range throughout the entire washing stage.

[0048] (2) By combining “generating optimal instructions” and “dynamic control”, the water level frequency can be smoothly approached, avoiding overshoot caused by excessive water or agent injection at one time, and the oscillation caused by forced drainage or water injection stoppage due to overshoot. This protects the clothing processing equipment and maintains the stability of foam concentration.

[0049] Example 3 like Figure 2 As shown, unlike Embodiments 1 and 2, this embodiment proposes a water level control method for a garment processing device, including: P1. During the washing program in the washing drum, the washing parameters related to the foam concentration in the washing drum are acquired in real time. P2. Dynamically determine the optimal water level frequency based on the washing parameters; whereby the optimal water level frequency represents the foam concentration at which the washing performance is optimal. P3. Dynamically adjust the water level in the washing drum according to the optimal water level frequency.

[0050] In this way, the following technical effects can be achieved: (1) The optimal water level frequency characterizes the foam concentration with the best washing performance. The foam concentration with the best washing performance is used as the benchmark for water level control so that the foam concentration in the washing drum is always maintained in the optimal washing range, avoiding the problem of poor washing effect due to low foam concentration or waste of detergent and difficulty in rinsing due to high foam concentration. (2) The washing parameters are acquired in real time during the washing program and the optimal water level frequency is dynamically determined based on the parameter changes. The water level is then dynamically adjusted, which can respond in real time to changes caused by factors such as the amount of laundry, the amount of detergent, the hardness of water and the washing stage, and realize full-process adaptive water level control. Compared with the fixed water level control method of the existing technology, it has obvious flexibility and adaptability.

[0051] Furthermore, the washing parameters related to the foam concentration in the washing drum include at least one of the following: water temperature T, detergent dosage Q, water level frequency F, and water delivery time t. The water level frequency F is negatively correlated with the water level H in the washing drum (e.g., ...). Figure 3 (as shown); In this way, the following technical effects can be achieved: (1) The washing parameters selected in this embodiment—water temperature T (which can be obtained by the original temperature sensor in the washing drum), detergent dosage Q (which can be obtained by the automatic dispensing device of the garment processing equipment or the user input interface), water level frequency F (detected by the water level sensor, which is the standard configuration of existing equipment), and water delivery time t (obtained by the timing module of the controller)—are all detection methods that are already available or easily integrated in existing garment processing equipment. Therefore, this application achieves effective characterization and dynamic control of foam concentration without adding any dedicated foam sensor, which reduces the overall manufacturing cost and avoids the reliability problem of dedicated sensors under harsh working conditions, significantly improving product lifespan and maintenance convenience. (2) This embodiment allows the use of "at least one", that is, a single parameter can be used independently or multiple parameters can be used in combination, so as to flexibly select the optimal control strategy according to actual needs: Water temperature (T) directly affects the solubility and foaming rate of surfactants. When the water temperature is low (e.g., cold water washing in winter), foam generation is slow, and the system can predict the delayed increase in foam concentration in advance to avoid excessive water intake. When the water temperature is high, the activity of surfactants is enhanced, and foam generation is rapid, allowing the system to prepare for dilution operations in advance. Therefore, the temperature parameter can be used as feedforward information to make predictive water level adjustments before a large amount of foam is generated, thereby improving the response speed. The amount of detergent Q determines the material basis for foam formation. In an automatic dispensing scenario, the system knows the Q value and can set the benchmark range of foam concentration for the current washing stage as an initial reference value for the target water level frequency. When the user manually dispenses the detergent and does not know the specific amount, the system can still rely on other parameters for dynamic optimization, demonstrating the flexibility of parameter selection. The water level frequency F is negatively correlated with the actual water level H in the washing drum (F∝1 / H), and is a direct physical quantity characterizing the water level height. When the foam concentration is too high, the foam occupies part of the volume in the washing drum, causing the actual water level to be lower than the sensor detection value, resulting in a "false water level" phenomenon, which is manifested as the water level frequency F deviating from the normal range and fluctuating violently. Therefore, the water level frequency F can capture sudden changes in foam concentration in real time and sensitively, providing an accurate feedback signal for closed-loop control. The time t for delivering water to the washing drum reflects the water intake and indirectly characterizes the amount of water used to dilute the foam. When it is necessary to reduce the foam concentration, increasing t can quickly introduce dilution water. Conversely, when the foam concentration is insufficient, decreasing t can avoid over-dilution. t can be used as a measure to control the output and can also be combined with other parameters for state estimation. By jointly judging two or more of the above parameters, mutual verification and noise suppression can be achieved. For example, when the water level frequency F experiences a momentary anomaly due to scale interference or sensor aging, the rationality can be verified by combining the water temperature T and the detergent dosage Q to avoid malfunctions. Under the condition that the detergent dosage Q is unknown, the optimal water level frequency can also be determined based solely on the real-time change trend of the water level frequency F and the historical record of the water supply duration t. This multi-source information fusion strategy significantly improves the robustness and accuracy of foam concentration identification.

[0052] Specifically, the washing process includes a water intake stage and a washing stage; During the water intake phase of the washing cycle, the water inlet valve is controlled to deliver a preset flow rate of water to the washing drum, and the washing drum is controlled to perform a washing action for a preset duration. The preset flow rate is [6%, 10%] of the full water volume of the washing drum; the preset duration is [3 min, 4 min]; preferably, the preset flow rate is 8% of the full water volume of the washing drum, and the preset duration is 3 min. During the washing phase of the washing program in the washing drum, washing parameters related to the foam concentration inside the washing drum are acquired in real time. The water level frequency and foam concentration in the washing drum satisfy the following condition: as the foam concentration in the washing drum increases, the fluctuation amplitude of the water level frequency increases.

[0053] The following further explains step P2, which includes... P21. Based on the real-time acquired T, Q, t, and F, dynamically determine the range of optimal foam concentration; P22. Based on the real-time acquired T, Q, t and the range of optimal foam concentration, dynamically determine the optimal water level frequency; In this way, the following technical effects can be achieved: (1) By using the closed-loop link of “detecting washing parameters → determining the range of optimal foam concentration → determining the optimal water level frequency → performing water level adjustment”, the foam concentration control is upgraded from discrete and delayed defoaming action to a continuous and real-time concentration maintenance strategy. (2) In the first-level judgment, this application uses four parameters, T, Q, t and F, for joint analysis. The complementarity of each parameter in physical mechanism is used to achieve mutual verification and noise suppression. For example, when F drops abnormally (indicating an increase in foam concentration), if T is detected to be within the normal range and Q does not increase significantly, it can be reasonably judged that the frequency change is mainly caused by foam generation, rather than sensor failure or uneven clothing load. Conversely, if T also rises abnormally at the same time (indicating that the actual increase in water temperature will accelerate foam generation), the upward trend of foam concentration is further confirmed, and the confidence of the control action is enhanced. This multi-source information fusion strategy enables the system to accurately identify whether the foam concentration deviates from the optimal range and the direction and degree of deviation under complex working conditions such as fluctuations in inlet water pressure, detergent residue, changes in water hardness, and uneven clothing load, which significantly improves the accuracy of the judgment.

[0054] Furthermore, P22 includes: P221. Input the real-time T, Q, t and the interval of the optimal foam concentration into the pre-trained water level frequency model; P222, The water level frequency model dynamically outputs the optimal water level frequency; This process can continuously improve the prediction accuracy and generalization ability of the water level frequency model, providing strong support for the practical application of washing machine control systems. The water level frequency model pre-defines the correspondence between T, Q, t, the interval of optimal foam concentration, and the optimal water level frequency.

[0055] In this way, the following technical effects can be achieved: (1) Introduce a trainable water level frequency model. This model can automatically learn the high-dimensional nonlinear mapping relationship between the above parameters and the optimal water level frequency by using a large amount of experimental data or real running data during the training phase, and approximate the real physical law. Compared with manually preset rules, the model-driven solution can output a more accurate and smoother optimal water level frequency value, avoid water level mutation caused by threshold jump or linear interpolation, and finely control the foam concentration in the washing drum to the theoretical optimal point, thereby maximizing the cleaning efficiency per unit time. (2) “The water level frequency model has a pre-established corresponding relationship” and allows the model to be continuously updated. This means that the model is not fixed after leaving the factory, but can be continuously optimized throughout the entire life cycle of the garment processing equipment. (3) The following design simultaneously satisfies both real-time performance and long-term optimization requirements: Forward inference (real-time): After the water level frequency model is trained offline or online, the computational cost of its forward calculation (inputting T, Q, t and interval, and outputting the optimal water level frequency) is usually very small. Background training (non-real-time): Model update training can be scheduled after the washing cycle ends, during device standby time, or in the cloud; input and output data collected during each washing cycle (including actual water level frequency, foam concentration feedback, washing effect indicators, etc.) can be temporarily stored in local storage and incrementally trained when the device is idle, or uploaded to the cloud server for global model training and then distributed via OTA. This approach does not affect the real-time performance of the current washing process and allows the model to continuously evolve over a long period of time. This "real-time inference + background training" architecture is a typical example of advanced technology in the field of embedded intelligent control, overcoming the computational latency and stability risks that may be introduced by traditional online learning.

[0056] Specifically, the water level frequency model is a one-dimensional convolutional neural network model (such as...). Figure 7 (As shown).

[0057] The following section explains the construction of the water level frequency model. Before running the washing program, the water level control method also includes: Construct a water level frequency model; The water level frequency model is trained using multiple sets of training data. Each set of training data includes historical washing parameters related to the foam concentration in the washing drum obtained within a historical time period, as well as the corresponding preset optimal foam concentration range and preset optimal water level frequency.

[0058] In this way, the following technical effects can be achieved: (1) Before the washing program is executed, a model is pre-built, that is, the model is trained offline using historical training data (which can come from a large number of calibration experiments in the laboratory, the operating data of similar equipment, or a general washing database), so that the model has good mapping ability before leaving the factory or after powering on; in this way, when the equipment executes the washing program for the first time, it can directly output a reliable optimal water level frequency from the trained model based on the real-time T, Q, t and the foam concentration range determined in the first layer, realizing a cold start from "zero knowledge" to "knowledge", ensuring that each wash (including the first use) can obtain a near-optimal foam concentration control effect, avoiding washing performance loss or foam overflow risk caused by blind trial and error.

[0059] (2) Each set of training data clearly includes the “preset optimal foam concentration range” and the “preset optimal water level frequency”. These two “preset optimal” labels are not given arbitrarily, but are objective standards obtained through professional experiments (e.g., testing the actual foam concentration and cleaning efficiency corresponding to multiple water level frequencies under different water temperatures, different detergent dosages, and different water supply durations, and the global optimal value determined by optimization algorithms or expert experience) within a historical time period.

[0060] Specifically, the water level frequency model includes a parameter acquisition stage, a model training stage, and a model application stage; First, the parameter acquisition stage; That is, to obtain washing parameters related to the foam concentration in the washing drum in real time; Table 1. Correspondence between washing mode, detergent dosage level, and detergent dosage Q

[0061] ① A temperature sensor is installed inside the washing drum to detect the temperature of the water inside the drum; ② The amount of detergent Q is determined by the user-set washing mode and detergent dosage level; different washing modes correspond to different detergent dosages, and different detergent dosage levels correspond to different detergent dosages; among them, the washing modes include single-material washing modes and multi-material mixed washing modes, and each washing mode has corresponding T, Q, and t; the higher the detergent dosage level, the greater the amount of detergent; as shown in Table 1 (taking a 10kg drum washing machine as an example). When the user selects different washing modes or the weight of the clothes, the device will automatically configure the corresponding water temperature, detergent dosage, and water delivery time into the washing drum. In this way, the following technical effects can be achieved: (1) The washing mode and detergent level are set directly using the existing user interface on the garment processing equipment, and the specific Q value is obtained through the internal mapping relationship. This method does not increase any hardware overhead, is based entirely on user operation logic, and achieves parameter acquisition with "zero cost and zero additional components", which further reduces the threshold for implementation. (2) Different washing modes correspond to different clothing materials, loads and allowable mechanical action intensities; for example, wool mode usually requires low foam and low water level fluctuations to avoid fiber felting; while cotton and linen mode allows higher foam concentration to enhance stain removal; this embodiment clearly states that "each washing mode has corresponding T, Q, t", which means that the equipment can preset benchmark parameters or constraints for different modes; when the user selects a certain mode, the system can not only know the benchmark value of Q, but also infer the optimal range of foam concentration in that mode, so as to incorporate the prior knowledge related to the mode into the subsequent water level frequency model training or inference, so that the output optimal water level frequency is more in line with the balance requirements of material protection and washing efficiency; (3) This embodiment clearly states that "the higher the detergent level, the greater the amount of detergent to be added". This linear relationship enables the model to directly estimate the total amount of foam that may be generated in the current washing cycle based on the level selected by the user. For example, a high level means high foam potential. The system will actively set the optimal foam concentration range in the medium to low range and adjust the optimal water level frequency accordingly (i.e., increase the water level to reserve dilution space), thereby avoiding foam overflow or rinsing residue problems caused by excessive detergent addition by the user.

[0062] ③ The duration t for supplying water to the washing drum is determined by the opening and closing time of the inlet valve; ④ A water level sensor is installed inside the washing drum to detect the water level height inside the drum. The water level height and water level frequency are inversely proportional. When the water level height increases, the water level frequency decreases; when the water level height decreases, the water level frequency increases. The water level height H and the water level frequency F satisfy: F=k / H; where k is a constant proportionality factor, which is related to the size and height design of the washing machine drum.

[0063] Second, the model training phase; The input parameters of the water level frequency model include the water temperature T in the washing drum, the amount of detergent Q, the water level frequency F, and the duration t for supplying water to the washing drum. The output parameters include the optimal water level frequency. Since the water level frequency model is a multi-input single-output problem, this embodiment uses a neural network model to achieve the above functions. Massive and diverse datasets, covering different real-time acquired T, Q, t and the range of optimal foam concentration, are sent to the water level frequency model via network transmission protocol; the core objective of training the water level frequency model is to establish the mapping relationship between T, Q, t, the range of optimal foam concentration and the optimal water level frequency. The large amount of data used in the model training process all comes from the parameter collection stage, involving a large number of repetitive experiments and data records, providing a solid data foundation for subsequent model training.

[0064] Experiments show that the foam concentration inside the washing drum is related to the amount of detergent added, the water temperature, and the duration of water delivery to the washing drum. ① The amount of detergent added directly determines the concentration of surfactant. Surfactants can only effectively form foam after reaching the critical micelle concentration (CMC) in water. The CMC is the lowest concentration point at which surfactant molecules begin to aggregate and form micelles. Increasing the amount of detergent added results in an initial increase in foam concentration followed by a gradual increase or decrease (significant increase below the CMC, and a slower increase or decrease above the CMC). Decreasing the amount of detergent added results in a decrease in foam concentration (especially below the CMC, where foam concentration is directly proportional to the amount of detergent added). For example: 10g of detergent (below the CMC) produces little foam; 20g (close to the CMC) produces the most foam; 30g (far above the CMC) produces a gradual decrease in foam. ② The temperature of water affects the solubility, molecular motion, and foam stability of surfactants: ③ Low temperature (<25°C): Surfactants dissolve slowly, molecular motion weakens, micelles are difficult to form, and foam concentration is low; Medium temperature (30°C-60°C): Surfactant solubility is optimal, molecular activity is high, micelles are easily formed, and foam concentration is highest; High temperature (>90°C): Excessively high water temperature will damage the foam structure (thermal energy accelerates bubble breakage) and reduce the CMC of surfactants (making micelles easier to form, but reducing foam stability), causing the foam to dissipate rapidly. ④ Washing machines typically control the water intake by controlling the duration of water delivery to the drum. The duration of water delivery indirectly affects the water intake, rather than directly affecting the foam. Changes in water intake alter the detergent dilution: a large water intake results in a low detergent concentration, causing surfactant molecules to disperse, making micelle formation difficult, and reducing foam concentration; a small water intake results in a high detergent concentration, making surfactants more likely to aggregate, increasing micelles, and increasing foam concentration. ⑤ The range of foam concentration has a significant impact on the frequency of water level changes; for example Figures 4 to 6 As shown, the horizontal axis represents time, and the vertical axis represents water level frequency. Experimental results indicate that as the foam concentration range increases, the deviation in water level frequency measurement increases significantly. This is because the water level sensor infers water level height based on pressure sensing principles, and the presence of foam interferes with the accuracy of pressure transmission. Specifically, when the water level frequency fluctuation is below 15%, the foam concentration range is within a suitable range; when the water level frequency fluctuation is between 15% and 30%, the foam concentration range is too high; when the water level frequency fluctuation exceeds 30%, the washing machine will automatically trigger the defoaming program to restore normal washing operation due to excessive foam.

[0065] Table 2. Correspondence between detergent dosage, water inlet duration, water temperature, and water level frequency.

[0066] based on Figures 4 to 6The experimental data in Table 2 (the experiment was conducted in a 10kg washing machine with the weight of the clothes kept constant) showed that the washing ratio reached its optimal value when the amount of detergent added was set to 0.02 times the weight of the clothes in the washing drum, the water delivery time to the washing drum was set to the maximum value, the water temperature was set to medium temperature (25°C–30°C), and the water level fluctuation rate was less than 15%. This result indicates that under these conditions, the foam concentration is in the optimal range, which can achieve the best washing effect.

[0067] Experimental data further confirms that the foam concentration during the washing process is strongly correlated with the amount of detergent added, the water temperature, the duration of water delivery into the washing drum, and the water level frequency. Specifically, the optimal foam concentration range can be accurately derived by considering the amount of detergent added, the water temperature, the duration of water delivery into the washing drum, and the water level frequency. Conversely, the optimal water level frequency can be effectively predicted based on real-time monitoring data of the foam concentration range, the amount of detergent added, the water temperature, and the duration of water delivery into the washing drum. These multiple sets of experimental data provide a training basis for these two inverse relationships.

[0068] Third, the model application stage; Table 3. Correspondence between T, Q, t, the range of optimal foam concentration, and the frequency of optimal water level.

[0069] The user places the clothes to be washed into the washing drum, and the laundry equipment starts the washing program. It controls the water inlet valve to deliver a preset flow rate of water to the washing drum and controls the washing drum to perform a preset washing action for the duration. During this process, it acquires real-time data on the water temperature T, detergent dosage Q, water level frequency F, and water delivery time t. Based on these data, it determines the optimal foam concentration range within the washing drum. This data is then input into the water level frequency model. The model outputs the optimal water level frequency (as shown in Table 3). Based on the optimal water level frequency, the laundry equipment continues to run the washing program.

[0070] The following provides a further explanation of step S3, which includes: Generate optimal water level control commands based on the optimal water level frequency; The water level in the washing drum is dynamically adjusted according to the optimal water level control command.

[0071] In this way, the following technical effects can be achieved: (1) The optimal water level frequency is converted into a specific instruction that the actuator can understand and execute, namely, the "optimal water level control instruction"; this instruction may include, but is not limited to, the following information: Target water level frequency; inlet valve opening duration, duty cycle, or pulse width; drain pump start signal; allowable error range and control accuracy; rate limit of the regulation process (to avoid sudden changes in water level); By explicitly translating the "optimal water level frequency" into "optimal water level control command," a standardized interface is achieved between the control strategy layer (determining the optimal frequency) and the execution layer (inlet valve and outlet pump actions); this decoupling design enables: Changes in the control algorithm do not affect the actuator: no matter how the water level frequency model is updated, as long as the output is still the optimal water level frequency in a uniform format, the downstream instruction generation module can remain unchanged. Easy to adapt to different hardware platforms: The same water level frequency decision logic can be used for different models of clothing processing equipment. You only need to configure the instruction generation rules for specific hardware (such as inlet valve flow rate and water level sensor type). (2) "Generating the optimal water level control command" does not simply translate the frequency value into a switching signal, but can include all the parameters required for closed-loop regulation; for example: PID control instruction: The optimal water level frequency is used as the given value. The instruction includes proportional, integral, and derivative coefficients, enabling the control system to dynamically adjust the on / off time of the inlet valve according to the deviation between the current actual water level frequency and the target value, so as to achieve smooth, fast and overshoot-free tracking. Hysteresis comparison instruction: Set a hysteresis interval centered on the optimal water level frequency. When the actual frequency is lower than the lower limit, the inlet valve is opened, and when it is higher than the upper limit, it is closed, realizing a simple and reliable two-position control. Predictive control command: Based on the rate of change of the current water level frequency, predict the time required to reach the target value and shut off the inlet valve in advance to eliminate overshoot; By explicitly generating instructions that include control strategies, rather than simply switching the actuators on and off, the system can precisely control the water level near the optimal frequency during dynamic adjustments, avoiding frequent deviations in foam concentration from the optimal range due to coarse adjustments. This is crucial for maintaining stable washing performance. (3) "Dynamically adjusting the water level in the washing drum" usually involves the coordination of multiple actuators: the inlet valve (water supply), the drain pump (drainage), and even the circulation pump (changing the flow field distribution); a comprehensive "optimal water level control command" can coordinate these mechanisms simultaneously: When the actual water level frequency is higher than the optimal value (i.e., the water level is too low, and the corresponding foam concentration may be insufficient), the instruction may require "opening the inlet valve until the water level frequency drops to the target value", while keeping the drain pump closed and the circulation pump running as needed; When the actual water level frequency is lower than the optimal value (i.e., the water level is too high and the foam concentration may be excessively diluted), the instruction may require "stop water intake and start the drainage pump if it exceeds the allowable range"; By encapsulating the action logic of multiple actuators into a single instruction, conflicts that may arise from decentralized control (such as opening water inlet and drainage simultaneously) are avoided, ensuring the safety and efficiency of the adjustment process.

[0072] Exemplary embodiments of this disclosure have been specifically shown and described above. It should be understood that this disclosure is not limited to the detailed structures, arrangements, or implementations described herein; rather, this disclosure is intended to cover various modifications and equivalent arrangements contained within the spirit and scope of the appended claims.

Claims

1. A water level control method for a garment processing device, the garment processing device comprising a washing drum; characterized in that, The washing process of the garment processing equipment includes an initial evaluation phase and a subsequent washing phase; the water level control method includes: The preferred water level frequency range required for the washing stage is deduced during the evaluation phase. The water level in the washing drum during the washing stage is controlled at least based on the preferred water level frequency range. Among them, the preferred water level frequency range represents the preferred foam concentration range.

2. The water level control method for the clothing processing equipment according to claim 1, characterized in that, In the evaluation phase, washing water and detergent are added to the washing drum and the drum is rotated; the process of inferring the preferred water level frequency range required for the washing phase in the evaluation phase includes: Collect washing information related to the foam concentration in the wash water; Based on the washing information, the preferred foam concentration range required for the washing stage is deduced; Based on the preferred foam concentration range and the washing information, a preferred water level frequency range is inferred. The washing information includes at least one of the following: load information, washing water information, and detergent information.

3. The water level control method for the clothing processing equipment according to claim 2, characterized in that, The load information includes at least one of load weight and load type; the wash water information includes at least one of wash water dosage and wash water temperature; and the detergent information includes at least one of detergent dosage and detergent type.

4. The water level control method for the clothing processing equipment according to claim 3, characterized in that, The amount of washing water added includes the pre-added amount of washing water in the evaluation stage and the theoretical amount of washing water required in the washing stage; the amount of detergent added includes the pre-added amount of detergent in the evaluation stage and the theoretical amount of detergent required in the washing stage. The load weight is obtained by weighing before adding water in the evaluation stage; the load type and the appropriate detergent type are selected by the user through the operation interface of the clothing processing equipment; the pre-dispensing amount of washing water and detergent are both set by the user; the theoretical dispensing amount of washing water and detergent are both determined based on the load weight; the pre-dispensing amount of washing water is less than the theoretical dispensing amount of washing water, and the pre-dispensing amount of detergent is less than the theoretical dispensing amount of detergent.

5. The water level control method for the clothing processing equipment according to claim 4, characterized in that, In the evaluation and washing phases, the washing water temperature and detergent type are the same; the step of inferring the preferred foam concentration range required for the washing phase based on the washing information includes: During the evaluation phase, based on the load weight, load type, washing water temperature, and detergent type, a baseline pattern is established for the change of foam concentration in the washing drum with the pre-dosage of washing water and detergent. Based on the theoretical dosage of washing water and detergent, and in conjunction with the benchmark rules, the optimal foam concentration range required for the washing stage is deduced.

6. The water level control method for the clothing processing equipment according to claim 4, characterized in that, The step of inferring the preferred water level frequency range based on the preferred foam concentration range and the washing information includes: Based on the preset mapping relationship between foam concentration and water level frequency, and combined with the preferred foam concentration range, theoretical dosage of washing water and theoretical dosage of detergent, the preferred water level frequency range is inferred.

7. The water level control method for the clothing processing equipment according to claim 4, characterized in that, The control of the water level during the washing stage based at least on the preferred water level frequency range includes: During the washing stage, according to the preferred water level frequency range, the addition of washing water and detergent to the washing drum is controlled, thereby controlling the water level in the washing drum so that the foam concentration in the washing drum is within the preferred foam concentration range.

8. The water level control method for the clothing processing equipment according to claim 7, characterized in that, The garment processing equipment further includes a first dispensing component and a second dispensing component, wherein the first dispensing component is used to dispense washing water into the washing drum, and the second dispensing component is used to dispense detergent into the washing drum. The control of adding washing water and detergent into the washing drum, thereby controlling the water level in the washing drum, includes: Obtain the real-time water level frequency inside the washing drum; Determine whether the real-time water level frequency is within the preferred water level frequency range; Based on the determination result that the real-time water level frequency is within the preferred water level frequency range, the first dispensing component and the second dispensing component are controlled, thereby controlling the water level in the washing drum.

9. The water level control method for the clothing processing equipment according to claim 8, characterized in that, The step of controlling the first and second dispensing components based on the determination result that the real-time water level frequency is within the preferred water level frequency range includes: When the real-time water level frequency is lower than the minimum threshold of the preferred water level frequency range, the first dispensing component is controlled to dispense washing water into the washing drum and / or the second dispensing component is controlled to dispense detergent into the washing drum until the real-time water level frequency rises to the preferred water level frequency range. When the real-time water level frequency is within the preferred water level frequency range, the first dispensing component is controlled to intermittently dispense washing water into the washing drum and / or the second dispensing component is controlled to intermittently dispense detergent into the washing drum; When the real-time water level frequency is higher than the maximum threshold of the preferred water level frequency range, the first dispensing component is controlled to stop dispensing washing water into the washing drum and the second dispensing component is controlled to stop dispensing detergent into the washing drum until the real-time water level frequency drops to within the preferred water level frequency range.

10. The water level control method for the clothing processing equipment according to claim 3, characterized in that, The amount of washing water added includes the real-time amount of washing water added during the washing stage, and the amount of detergent added includes the real-time amount of detergent added during the washing stage; the step of inferring the preferred water level frequency range based on the preferred foam concentration range and the washing information includes: During the washing stage, the real-time dosage of washing water and detergent is obtained. The real-time dosage of washing water, the real-time dosage of detergent, and the preferred foam concentration range are input into a pre-trained water level frequency model. The water level frequency model is controlled to output a preferred water level frequency range; The water level frequency model pre-establishes the correspondence between the amount of washing water, the amount of detergent, the foam concentration range, and the water level frequency range.

11. The water level control method for the clothing processing equipment according to claim 10, characterized in that, The water level frequency model is a one-dimensional convolutional neural network model.

12. The water level control method for the clothing processing equipment according to claim 10, characterized in that, The control of the water level in the washing drum during the washing stage based at least on the preferred water level frequency range includes: Generate optimal water level control commands based on the preferred water level frequency range; The water level in the washing drum during the washing stage is dynamically controlled according to the optimal water level control command.

13. A garment processing device, characterized in that, The water level control method of the garment processing equipment according to any one of claims 1 to 12 is adopted.

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