Laundry detergent self-adaptive putting and washing control method and device

Abstract

The invention discloses a laundry detergent self-adaptive putting and washing control method and device, and belongs to the technical field of equipment control. The method comprises the following steps: acquiring core attribute information of clothes to be washed and physical characteristic information of stains; based on the core attribute information and the physical characteristic information of the stains, determining an optimization science action path and a chemical tolerance boundary condition, and based on the optimization science action path and the chemical tolerance boundary condition, determining a laundry detergent type and a target putting amount; determining initial washing parameters based on the laundry detergent type and the target putting amount, and starting a washing program based on the initial washing parameters; in the washing process, a real-time sound and vibration characteristic spectrum is obtained, and washing parameters of the washing program are dynamically adjusted based on the real-time sound and vibration characteristic spectrum. According to the technical scheme, accurate decision-making of the laundry detergent type and the target putting amount is achieved, meanwhile, parameters are dynamically adjusted in the washing process, and therefore the decontamination effect is improved, clothes materials are protected, and resource waste is reduced.

Description

Technical Field

[0001] This application belongs to the field of equipment control technology, specifically relating to a method and device for adaptive dispensing and washing control of laundry detergent. Background Technology

[0002] With the development of smart homes and the improvement of washing machine automation, the accuracy of detergent dispensing and washing parameter control is crucial.

[0003] Existing technologies mainly fall into two categories: The first is the fixed-parameter solution commonly used in low-to-mid-range washing machines. This relies on users manually selecting the type of clothing and calling preset parameters. While it doesn't require complex detection, it lacks flexibility and cannot adapt to the different characteristics of various clothes and stains, easily leading to detergent mismatch or incorrect dispensing, resulting in incomplete stain removal or clothing damage. The second is the semi-automatic solution in mid-to-high-end models. This solution estimates the dispensing amount by detecting a single parameter (weight, color) using a weight sensor or simple optical sensor. However, relying solely on a single parameter for decision-making still suffers from insufficient accuracy, and the fixed parameters during the washing process easily lead to resource waste. Solving these problems has become a key requirement for improving the intelligence and practicality of washing machines. Summary of the Invention

[0004] This application provides a method and apparatus for adaptive detergent dispensing and washing control, which aims to achieve accurate decision-making on detergent type and target dispensing amount, and dynamically adjust parameters during the washing process, thereby improving the stain removal effect, protecting clothing materials, and reducing resource waste.

[0005] In a first aspect, embodiments of this application provide a method for adaptive detergent dispensing and washing control, the method comprising: Obtain the core attribute information and stain physical property information of the garment to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the garment to be washed, and the stain physical property information includes viscosity information and adhesion information; Based on the core attribute information and the physical properties of the stain, the optimal chemical action path and chemical tolerance boundary conditions are determined, and the type of laundry detergent and the target dosage are determined based on the optimal chemical action path and the chemical tolerance boundary conditions. The initial washing parameters are determined based on the type of laundry detergent and the target dosage, and the washing program is started based on the initial washing parameters. During the washing process, a real-time acoustic vibration characteristic spectrum is acquired, and the washing parameters of the washing program are dynamically adjusted based on the real-time acoustic vibration characteristic spectrum.

[0006] Optionally, dynamically adjusting the washing parameters of the washing program based on the real-time acoustic vibration characteristic spectrum includes: Feature extraction is performed on the real-time acoustic vibration feature spectrum to obtain decontamination state parameters; wherein, the decontamination state parameters include dirt binding force characterization parameters and solution turbidity load characterization parameters; Based on the changes in the decontamination status parameters over time, the decontamination efficiency and remaining decontamination potential are determined. Based on the decontamination efficiency and the remaining decontamination potential, a washing parameter adjustment instruction is generated. The washing parameter adjustment command is executed to dynamically adjust the washing parameters of the washing program.

[0007] Optionally, determining the decontamination efficiency and remaining decontamination potential value based on the change information of the decontamination status parameters over time includes: Based on the change information of the dirt binding force characterization parameter over time, the instantaneous decrease rate of the dirt binding force characterization parameter is calculated as the first instantaneous decontamination efficiency; and based on the change information of the solution turbidity load characterization parameter over time, the instantaneous increase rate of the solution turbidity load characterization parameter is calculated as the second instantaneous decontamination efficiency. The first instantaneous decontamination efficiency and the second instantaneous decontamination efficiency are weighted and fused, and the historical peak value of the solution turbidity load characterization parameter is used as the saturation correction factor to calculate the decontamination efficiency as a function of time. Based on the current value of the dirt binding force characterization parameter and the decontamination efficiency, the theoretical time required for the dirt binding force to decrease to a preset target value is predicted, and the reciprocal of the required theoretical time is mapped to the remaining decontamination potential value.

[0008] Optionally, generating washing parameter adjustment instructions based on the stain removal efficiency and the remaining stain removal potential value includes: A washing conflict status label is determined based on the decontamination efficiency and the remaining decontamination potential value. Based on the washing conflict status label and the preset parameter adjustment rules, the initial washing parameter adjustment amount is determined; The boundary information of the washing parameters is determined based on the material composition information and color information. Based on the boundary information of the washing parameters, the initial washing parameter adjustment amount is verified for compliance, and a washing parameter adjustment instruction is generated based on the compliance verification result and the initial washing parameter adjustment amount.

[0009] Optionally, determining the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions includes: The type of laundry detergent is determined based on the optimal chemical action path and the chemical tolerance boundary conditions. The required amount of active ingredients is determined based on the physical properties of the stain and the type of laundry detergent. Divide the required amount of active ingredient by the concentration of active ingredient in the type of laundry detergent to obtain the target dosage for the type of laundry detergent.

[0010] Optionally, obtaining the real-time acoustic vibration feature spectrum includes: Structural acoustic vibration signals are obtained by an acoustic vibration sensor installed on the outer wall of the inner drum of the washing machine, and fluid acoustic vibration signals are obtained by an acoustic vibration sensor installed in the circulation pipeline. The structural acoustic vibration signal and the fluid acoustic vibration signal are filtered to obtain effective structural acoustic vibration signal and effective fluid acoustic vibration signal; The effective structural acoustic vibration signal and the effective fluid acoustic vibration signal are integrated to obtain a real-time acoustic vibration characteristic spectrum.

[0011] Optionally, determining the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical properties information includes: Based on the physical properties of the stain, the stain type information is determined, and based on the stain type information and the material composition information, the optimal chemical action path is determined. The colorfastness of the clothing is determined based on the material composition information and the color information. Based on the color fastness and material composition information of the clothing, the basic chemical resistance boundary information is determined; Based on the quality information, a correction coefficient is determined, and the basic chemical tolerance boundary information is corrected based on the correction coefficient to obtain the chemical tolerance boundary conditions.

[0012] Secondly, embodiments of this application provide a laundry detergent adaptive dispensing and washing control device, the device comprising: The information acquisition module is used to acquire the core attribute information and stain physical property information of the clothes to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the clothes to be washed, and the stain physical property information includes viscosity information and adhesion information. The laundry detergent determination module is used to determine the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical characteristics information, and to determine the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions. An initial parameter determination module is used to determine initial washing parameters based on the type of laundry detergent and the target dosage, and to start the washing program based on the initial washing parameters; The parameter dynamic adjustment module is used to acquire real-time acoustic vibration characteristic spectrum during the washing process and dynamically adjust the washing parameters of the washing program based on the real-time acoustic vibration characteristic spectrum.

[0013] Optionally, the parameter dynamic adjustment module is specifically used for: Feature extraction is performed on the real-time acoustic vibration feature spectrum to obtain decontamination state parameters; wherein, the decontamination state parameters include dirt binding force characterization parameters and solution turbidity load characterization parameters; Based on the changes in the decontamination status parameters over time, the decontamination efficiency and remaining decontamination potential are determined. Based on the decontamination efficiency and the remaining decontamination potential, a washing parameter adjustment instruction is generated. The washing parameter adjustment command is executed to dynamically adjust the washing parameters of the washing program.

[0014] Optionally, the parameter dynamic adjustment module is specifically used for: Based on the change information of the dirt binding force characterization parameter over time, the instantaneous decrease rate of the dirt binding force characterization parameter is calculated as the first instantaneous decontamination efficiency; and based on the change information of the solution turbidity load characterization parameter over time, the instantaneous increase rate of the solution turbidity load characterization parameter is calculated as the second instantaneous decontamination efficiency. The first instantaneous decontamination efficiency and the second instantaneous decontamination efficiency are weighted and fused, and the historical peak value of the solution turbidity load characterization parameter is used as the saturation correction factor to calculate the decontamination efficiency as a function of time. Based on the current value of the dirt binding force characterization parameter and the decontamination efficiency, the theoretical time required for the dirt binding force to decrease to a preset target value is predicted, and the reciprocal of the required theoretical time is mapped to the remaining decontamination potential value.

[0015] Optionally, the parameter dynamic adjustment module is specifically used for: A washing conflict status label is determined based on the decontamination efficiency and the remaining decontamination potential value. Based on the washing conflict status label and the preset parameter adjustment rules, the initial washing parameter adjustment amount is determined; The boundary information of the washing parameters is determined based on the material composition information and color information. Based on the boundary information of the washing parameters, the initial washing parameter adjustment amount is verified for compliance, and a washing parameter adjustment instruction is generated based on the compliance verification result and the initial washing parameter adjustment amount.

[0016] Optionally, the laundry detergent determining module is specifically used for: The type of laundry detergent is determined based on the optimal chemical action path and the chemical tolerance boundary conditions. The required amount of active ingredients is determined based on the physical properties of the stain and the type of laundry detergent. Divide the required amount of active ingredient by the concentration of active ingredient in the type of laundry detergent to obtain the target dosage for the type of laundry detergent.

[0017] Optionally, the parameter dynamic adjustment module is further used for: Structural acoustic vibration signals are obtained by an acoustic vibration sensor installed on the outer wall of the inner drum of the washing machine, and fluid acoustic vibration signals are obtained by an acoustic vibration sensor installed in the circulation pipeline. The structural acoustic vibration signal and the fluid acoustic vibration signal are filtered to obtain effective structural acoustic vibration signal and effective fluid acoustic vibration signal; The effective structural acoustic vibration signal and the effective fluid acoustic vibration signal are integrated to obtain a real-time acoustic vibration characteristic spectrum.

[0018] Optionally, the laundry detergent determining module is further configured to: Based on the physical properties of the stain, the stain type information is determined, and based on the stain type information and the material composition information, the optimal chemical action path is determined. The colorfastness of the clothing is determined based on the material composition information and the color information. Based on the color fastness and material composition information of the clothing, the basic chemical resistance boundary information is determined; Based on the quality information, a correction coefficient is determined, and the basic chemical tolerance boundary information is corrected based on the correction coefficient to obtain the chemical tolerance boundary conditions.

[0019] Thirdly, embodiments of this application provide an electronic device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the method described in the first aspect.

[0020] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the method described in the first aspect.

[0021] In this embodiment, core attribute information of the garment to be washed and physical property information of the stains are obtained. The core attribute information includes the material composition, color, and mass information of the garment, while the physical property information of the stains includes viscosity and adhesion information. Based on the core attribute information and the physical property information of the stains, an optimal chemical action path and chemical tolerance boundary conditions are determined, and the type of laundry detergent and the target dosage are determined based on these conditions. Initial washing parameters are determined based on the type of laundry detergent and the target dosage, and the washing program is started based on these initial washing parameters. During the washing process, a real-time acoustic vibration characteristic spectrum is acquired, and the washing parameters of the washing program are dynamically adjusted based on the real-time acoustic vibration characteristic spectrum. This adaptive detergent dosage and washing control method achieves accurate decision-making regarding the type of laundry detergent and the target dosage, while dynamically adjusting parameters during the washing process, thereby improving the stain removal effect, protecting the fabric, and reducing resource waste. Attached Figure Description

[0022] Figure 1 This is a schematic flowchart of a laundry detergent adaptive dispensing and washing control method provided in an embodiment of this application; Figure 2 This is a flowchart illustrating another adaptive detergent dispensing and washing control method provided in an embodiment of this application; Figure 3 This is a flowchart illustrating another adaptive detergent dispensing and washing control method provided in the embodiments of this application; Figure 4 This is a schematic diagram of the structure of a laundry detergent adaptive dispensing and washing control device provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but may also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subroutine, etc.

[0024] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0025] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0026] The adaptive detergent dispensing and washing control method and apparatus provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0027] First, this application applies to scenarios involving automated washing in laundry equipment. Based on this application scenario, it can be understood that the executing entity of this application can be the main control PC (Printed Circuit) board of the laundry equipment. Specifically, the determination of the type and target dosage of laundry detergent, the determination of initial washing parameters, and the dynamic adjustment of washing parameters can be performed by the main control PC board.

[0028] Figure 1This is a schematic flowchart of a laundry detergent adaptive dispensing and washing control method provided in an embodiment of this application. Figure 1 As shown, the specific steps include the following: S101, Obtain the core attribute information and stain physical property information of the garment to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the garment to be washed, and the stain physical property information includes viscosity information and adhesion information.

[0029] Among them, the clothes to be washed can be textile items waiting to be washed in the washing equipment.

[0030] The core attribute information of the laundry can be a set of key physical attribute parameters that reflect the laundry's properties, including material composition, color, and weight. Specifically, material composition information can be the types and proportions of fibers in the laundry; color information can be the RGB color space parameters of the laundry; and weight information can be the actual weight of the laundry.

[0031] The physical properties of the stain on the garment to be washed can be a set of parameters that characterize the physical state of the stain and its bond strength with the clothing, including viscosity information and adhesion information. Specifically, viscosity information can be the dynamic viscosity of the stain on the garment; adhesion information can be the peel force between the stain and the surface of the clothing fibers.

[0032] In one embodiment, the core attribute information of the garment to be washed and the physical characteristics information of the stain can be obtained by using a near-infrared spectral sensor to identify the material composition information of the garment to be washed, using a color sensor to collect the color information of the garment to be washed, using a gravity sensor to measure the mass information of the garment to be washed, using a laser scattering viscosity sensor to detect the viscosity information, and using an ultrasonic sensor to detect the peeling vibration frequency between the stain and the garment to be washed and convert the peeling vibration frequency into adhesion information.

[0033] S102, determine the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical characteristics information, and determine the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions.

[0034] Among them, the optimal chemical action pathway can be the optimal mechanism by which the active ingredients of laundry detergent react with stains, such as the synergistic action pathway of protease breaking down protein stains and surfactant emulsifying grease stains.

[0035] Among them, chemical tolerance boundary information can be the limit range of parameters such as the concentration of active ingredients in laundry detergent and pH value that the laundry can withstand.

[0036] In one embodiment, the method for determining the optimal chemical action path and chemical tolerance boundary conditions based on core attribute information and stain physical property information can be achieved by training a convolutional neural network-long short-term memory network fusion model (with core attribute information and stain physical property information as input layers, key parameter weights reinforced by an attention mechanism in the hidden layers, and the optimal chemical action path and chemical tolerance boundary conditions as output layers) based on a training dataset including core attribute information, stain physical property information, and chemical action samples. The current core attribute information and stain physical property information are then input into the convolutional neural network-long short-term memory network fusion model to obtain the optimal chemical action path and chemical tolerance boundary conditions output by the convolutional neural network-long short-term memory network fusion model.

[0037] Among them, laundry detergent types can be classified based on active ingredients and functions, including neutral protease laundry detergent, high-temperature lipase laundry detergent, low-temperature cellulase laundry detergent, phosphate-free chelated laundry detergent, color-protecting surfactant laundry detergent, and wool-specific weakly acidic laundry detergent, etc.

[0038] The target dosage can be the precise amount of laundry detergent used to achieve the best cleaning effect without exceeding the chemical tolerance limit of the clothes to be washed.

[0039] In one embodiment, the method of determining the type of laundry detergent and the target dosage based on the optimal chemical action path and chemical tolerance boundary conditions can be achieved by using the objective functions of maximizing the stain removal effect, minimizing clothing damage, and optimizing the amount of laundry detergent used, with the required amount of active ingredients corresponding to the optimal chemical action path and the chemical tolerance boundary conditions as constraints, and solving for the optimal solution using a particle swarm optimization algorithm to output the matching type of laundry detergent and the target dosage.

[0040] Optionally, determining the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions includes: The type of laundry detergent is determined based on the optimal chemical action path and the chemical tolerance boundary conditions. The required amount of active ingredients is determined based on the physical properties of the stain and the type of laundry detergent. Divide the required amount of active ingredient by the concentration of active ingredient in the type of laundry detergent to obtain the target dosage for the type of laundry detergent.

[0041] In one embodiment, the method of determining the laundry detergent type based on the optimal chemical reaction path and chemical tolerance boundary conditions can be achieved by matching candidate laundry detergent types from a preset laundry detergent type library according to each chemical reaction in the optimal chemical reaction path, and then selecting the candidate laundry detergent type that meets the chemical tolerance boundary conditions as the current laundry detergent type.

[0042] The required amount of active ingredients can be the absolute mass of a specific active ingredient in the laundry detergent needed to completely remove stains.

[0043] In one embodiment, the method for determining the required amount of active ingredients based on the physical properties of stains and the type of laundry detergent can be achieved by normalizing the viscosity and adhesion information, weighting the normalization results, and multiplying the weighted sum by a preset active ingredient efficiency coefficient corresponding to the type of laundry detergent to obtain the required amount of active ingredients.

[0044] The concentration of active ingredients in a laundry detergent type can be the mass of effective active ingredients per unit volume of that type of laundry detergent.

[0045] In one embodiment, the required amount of active ingredient is divided by the concentration of active ingredient for each type of laundry detergent to obtain the target dosage for that type of detergent. .

[0046] The advantages of this approach are that, based on the chemical action pathway and tolerance boundary, type selection can avoid damage to clothing or stain removal failure caused by choosing the wrong laundry detergent. Furthermore, through quantitative calculation of active ingredients, it can both ensure stain removal effect and reduce laundry detergent waste, thereby enhancing the practicality and universality of the approach.

[0047] S103, determine the initial washing parameters based on the type of laundry detergent and the target dosage, and start the washing program based on the initial washing parameters.

[0048] Among them, washing parameters can be key operating parameters that affect the washing effect and the protection of clothes, and can include washing water temperature, washing speed, etc.

[0049] The initial washing parameters are the washing parameters at the beginning of the washing program, which are determined based on the type of laundry detergent and the target dosage.

[0050] In one embodiment, the method of determining the initial washing parameters based on the type of laundry detergent and the target dosage can be achieved by pre-constructing a mapping table of laundry detergent type, dosage, and initial washing parameters, matching the basic initial washing parameters according to the current type of laundry detergent and the target dosage, and then correcting the basic initial washing parameters based on the material composition information and color information using a fuzzy logic algorithm to obtain the final initial washing parameters.

[0051] The washing program can be the running program corresponding to a complete washing process defined by the initial washing parameters.

[0052] In one embodiment, the method of starting the washing program based on initial washing parameters can be achieved by writing the initial washing parameters into a preset washing program template to obtain the washing program, and then controlling the execution of the washing program by the main control PC board.

[0053] S104, during the washing process, the real-time acoustic vibration characteristic spectrum is acquired, and the washing parameters of the washing program are dynamically adjusted based on the real-time acoustic vibration characteristic spectrum.

[0054] Among them, the real-time acoustic and vibration characteristic spectrum can be a set of acoustic and vibration signals generated by the interaction between the inner drum of the washing equipment and the clothes and water flow during the washing process.

[0055] In one embodiment, the method for obtaining the real-time acoustic and vibration characteristic spectrum can be as follows: a microphone is installed on the outer wall of the inner tank of the washing equipment to collect acoustic signals, an accelerometer is installed on the base of the equipment to collect vibration signals, the time-domain signals are converted into frequency-domain signals through fast Fourier transform, and acoustic and vibration characteristic parameters are extracted to form a real-time acoustic and vibration characteristic spectrum.

[0056] Optionally, obtaining the real-time acoustic vibration feature spectrum includes: Structural acoustic vibration signals are obtained by an acoustic vibration sensor installed on the outer wall of the inner drum of the washing machine, and fluid acoustic vibration signals are obtained by an acoustic vibration sensor installed in the circulation pipeline. The structural acoustic vibration signal and the fluid acoustic vibration signal are filtered to obtain effective structural acoustic vibration signal and effective fluid acoustic vibration signal; The effective structural acoustic vibration signal and the effective fluid acoustic vibration signal are integrated to obtain a real-time acoustic vibration characteristic spectrum.

[0057] Among them, the acoustic and vibration sensor can be an integrated MEMS (microelectromechanical system) acoustic and vibration composite sensor, which has a built-in acoustic sensor and a triaxial accelerometer, and can simultaneously acquire acoustic signals and vibration signals.

[0058] Among them, the outer wall of the inner drum of the washing machine can be the outer wall of the washing machine drum or impeller, which is directly affected by the mechanical vibration generated by the tumbling and friction of the clothes; the structural acoustic vibration signal can be the vibration signal generated by the collision and friction between the inner drum and the clothes, and between the inner drum and the agitation components (such as impeller, lifting ribs) and the accompanying acoustic signal.

[0059] The circulation pipeline can be the water inlet pipeline from the washing machine's water inlet valve to the inner drum or the circulation filter pipeline from the inner drum to the drain pump; the fluid acoustic vibration signal can be the turbulent noise and vibration signal generated by the water flowing in the circulation pipeline, impacting the pipe wall, or mixing with dirt particles.

[0060] Among them, the effective structural acoustic vibration signal can be the structural acoustic vibration signal after filtering to remove environmental noise (such as equipment shell resonance, external interference); the effective fluid acoustic vibration signal can be the fluid acoustic vibration signal after filtering to remove inherent pipeline noise (such as water pump operating noise).

[0061] In one embodiment, the method of filtering the structural acoustic vibration signal and the fluid acoustic vibration signal to obtain effective structural acoustic vibration signal and effective fluid acoustic vibration signal can be as follows: For the structural acoustic vibration signal, a bandpass filter is constructed through a preset mechanical action characteristic frequency band, and the filter coefficients are dynamically adjusted using a minimum mean square error algorithm to filter out environmental noise outside the frequency band to obtain an effective structural acoustic vibration signal; for the fluid acoustic vibration signal, a bandpass filter is constructed through a preset fluid action characteristic frequency band, and the filter parameters are optimized based on the minimum mean square error algorithm to filter out inherent pipeline noise to obtain an effective fluid acoustic vibration signal.

[0062] In one embodiment, the method of integrating the effective structural acoustic vibration signal and the effective fluid acoustic vibration signal to obtain the real-time acoustic vibration feature spectrum can be achieved by performing time-frequency domain transformation on the effective structural acoustic vibration signal and the effective fluid acoustic vibration signal respectively, extracting their respective feature parameters to construct a feature matrix, fusing the feature parameters of the two types of signals according to weights, and normalizing the fused feature matrix to generate a real-time acoustic vibration feature spectrum containing comprehensive information on mechanical and fluid effects.

[0063] The advantage of this design is that by collecting acoustic and vibration signals from both the inner drum outer wall and the circulation pipe at two positions, it enables comprehensive monitoring of both mechanical (clothes tumbling and friction) and fluid (water flow and stain dispersion) actions during the washing process.

[0064] In one embodiment, the method of dynamically adjusting the washing parameters of the washing program based on the real-time acoustic vibration feature spectrum can be achieved by pre-constructing a benchmark library of washing states and acoustic vibration feature spectra (including benchmark acoustic vibration feature spectra of washing states such as normal washing, clothes tangling, stain residue, and clothes damage). A cosine similarity algorithm is used to compare the real-time acoustic vibration feature spectrum with the benchmark library. If the matched washing state is not normal washing, the target washing parameter adjustment strategy is determined and executed based on the matched washing state and the pre-constructed mapping relationship between washing state and washing parameter adjustment strategy, until the washing state matched based on the real-time acoustic vibration feature spectrum is normal washing.

[0065] In this embodiment, core attribute information of the garment to be washed and physical property information of the stains are obtained. The core attribute information includes the material composition, color, and mass information of the garment, while the physical property information of the stains includes viscosity and adhesion information. Based on the core attribute information and the physical property information of the stains, an optimal chemical action path and chemical tolerance boundary conditions are determined, and the type of laundry detergent and the target dosage are determined based on these conditions. Initial washing parameters are determined based on the type of laundry detergent and the target dosage, and the washing program is started based on these initial washing parameters. During the washing process, a real-time acoustic vibration characteristic spectrum is acquired, and the washing parameters of the washing program are dynamically adjusted based on the real-time acoustic vibration characteristic spectrum. This adaptive detergent dosage and washing control method achieves accurate decision-making regarding the type of laundry detergent and the target dosage, while dynamically adjusting parameters during the washing process, thereby improving the stain removal effect, protecting the fabric, and reducing resource waste.

[0066] Figure 2 This is a schematic flowchart of another adaptive detergent dispensing and washing control method provided in an embodiment of this application. Figure 2 As shown, the specific steps include the following: S201, Obtain the core attribute information and stain physical property information of the garment to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the garment to be washed, and the stain physical property information includes viscosity information and adhesion information.

[0067] S202, determine the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical characteristics information, and determine the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions.

[0068] S203, determine the initial washing parameters based on the type of laundry detergent and the target dosage, and start the washing program based on the initial washing parameters.

[0069] S204, during the washing process, acquires real-time acoustic vibration characteristic spectrum.

[0070] S205, feature extraction is performed on the real-time acoustic vibration feature spectrum to obtain decontamination state parameters; wherein, the decontamination state parameters include dirt binding force characterization parameters and solution turbidity load characterization parameters.

[0071] The stain removal status parameters can be a set of quantitative indicators that reflect the stain removal status during the washing process through acoustic vibration characteristics. These parameters can include stain adhesion strength characterization parameters and solution turbidity load characterization parameters. Specifically, the stain adhesion strength characterization parameters can be parameters reflecting the remaining bond strength between stains and clothing fibers; the solution turbidity load characterization parameters can be parameters reflecting the concentration of removed stains in the washing solution.

[0072] In one embodiment, the method of extracting features from the real-time acoustic vibration feature spectrum to obtain the decontamination state parameters can be achieved by mapping the low-frequency energy integral value to the dirt binding force characterization parameter through a pre-trained model, and converting the high-frequency spectrum peak intensity into the solution turbidity load characterization parameter through a calibration coefficient.

[0073] S206, Based on the information on the change of the decontamination status parameters over time, determine the decontamination efficiency and the remaining decontamination potential value.

[0074] Among them, the information on the change of the decontamination state parameters over time can be the time-series change curves of the dirt binding force characterization parameters and the solution turbidity load characterization parameters during the washing process.

[0075] Among them, stain removal efficiency can be an indicator of the rate at which stains are removed per unit time; the remaining stain removal potential value can be the proportion of stains that can still be removed based on the current state.

[0076] In one embodiment, the method for determining the decontamination efficiency and remaining decontamination potential value based on the change information of the decontamination state parameters over time can be as follows: linearly fitting the curve of the change of the decontamination state parameters over time to obtain the slope of the fitted line, the absolute value of the slope being the decontamination efficiency, and taking the ratio of the dirt binding force characterization parameter to the adhesion information at the current moment and multiplying it by 100% to obtain the remaining decontamination potential value.

[0077] Optionally, determining the decontamination efficiency and remaining decontamination potential value based on the change information of the decontamination status parameters over time includes: Based on the change information of the dirt binding force characterization parameter over time, the instantaneous decrease rate of the dirt binding force characterization parameter is calculated as the first instantaneous decontamination efficiency; and based on the change information of the solution turbidity load characterization parameter over time, the instantaneous increase rate of the solution turbidity load characterization parameter is calculated as the second instantaneous decontamination efficiency. The first instantaneous decontamination efficiency and the second instantaneous decontamination efficiency are weighted and fused, and the historical peak value of the solution turbidity load characterization parameter is used as the saturation correction factor to calculate the decontamination efficiency as a function of time. Based on the current value of the dirt binding force characterization parameter and the decontamination efficiency, the theoretical time required for the dirt binding force to decrease to a preset target value is predicted, and the reciprocal of the required theoretical time is mapped to the remaining decontamination potential value.

[0078] The first instantaneous decontamination efficiency can be the decrease in the dirt binding force characterization parameter per unit time; the second instantaneous decontamination efficiency can be the increase in the solution turbidity load characterization parameter per unit time.

[0079] In one embodiment, the instantaneous decrease rate of the fouling binding force characterization parameter based on the change information of the fouling binding force characterization parameter over time can be calculated by taking the fouling binding force characterization parameter at 5 consecutive sampling times (with a time interval of 10 seconds), calculating the sum of the differences between adjacent times, and dividing by the total duration to obtain the first instantaneous decontamination efficiency as the first instantaneous decontamination efficiency; the instantaneous increase rate of the solution turbidity load characterization parameter based on the change information of the solution turbidity load characterization parameter over time is calculated in the same way, only the fouling binding force characterization parameter is replaced with the solution turbidity load characterization parameter.

[0080] Among them, the historical peak value can be the maximum value reached by the solution turbidity load characterization parameter during the washing process; the saturation correction factor can be the ratio of the current solution turbidity load characterization parameter to the historical peak value.

[0081] Among them, the time-varying decontamination efficiency can be a comprehensive index that integrates the first instantaneous decontamination efficiency and the second instantaneous decontamination efficiency and is then saturated and corrected.

[0082] In one embodiment, the weighted fusion of the first instantaneous decontamination efficiency and the second instantaneous decontamination efficiency, and the calculation of the time-varying decontamination efficiency using the historical peak value of the solution turbidity load characterization parameter as the saturation correction factor, can be achieved by presetting a first weight (e.g., 0.6) and a second weight (e.g., 0.4), multiplying the first instantaneous decontamination efficiency by the first weight and the second instantaneous decontamination efficiency by the second weight, summing the two multiplication results, and finally multiplying the summed result by the saturation correction factor to obtain the decontamination efficiency.

[0083] The preset target value can be the threshold of dirt adhesion for determining that the stains have been basically removed; the theoretical time required for the dirt adhesion to drop to the preset target value can be the remaining washing time predicted based on the current stain removal efficiency.

[0084] In one embodiment, the method for predicting the theoretical time required for the dirt binding force to drop to a preset target value based on the current value of the dirt binding force characterization parameter and the decontamination efficiency can be achieved by subtracting the preset target value from the dirt binding force and dividing the resulting difference by the average decontamination efficiency over time to obtain the required theoretical time.

[0085] In one embodiment, the method of mapping the reciprocal of the required theoretical duration to the remaining decontamination potential value can be achieved by dividing the required theoretical duration by a preset maximum duration to obtain a ratio, subtracting the ratio from 1 to obtain a difference, and multiplying the difference by 100% to obtain the remaining decontamination potential value.

[0086] The advantage of this scheme is that by integrating and correcting the instantaneous efficiency in two dimensions, the calculation of the cleaning efficiency is made to better reflect the actual cleaning pattern. At the same time, the remaining potential value based on the binding force prediction can intuitively reflect the cleaning progress, further improving the timeliness and rationality of the washing parameter adjustment.

[0087] S207, Based on the stain removal efficiency and the remaining stain removal potential value, generate a washing parameter adjustment instruction.

[0088] In one embodiment, the method for generating washing parameter adjustment instructions based on stain removal efficiency and remaining stain removal potential value can be as follows: when the stain removal efficiency is greater than or equal to a preset efficiency threshold and the remaining stain removal potential value is less than or equal to a preset potential value threshold, a command to reduce washing intensity is generated (e.g., reduce washing speed by 10% and washing temperature by 5 degrees Celsius) to avoid over-washing; when the stain removal efficiency is less than the preset efficiency threshold and the remaining stain removal potential value is greater than the preset potential value threshold, a command to increase washing intensity is generated (e.g., increase washing speed by 15% and extend washing time by 10 minutes) to improve stain removal ability; when the stain removal efficiency is less than the preset efficiency threshold but the remaining stain removal potential value is less than or equal to the preset potential value threshold, a command to maintain the current parameters is generated to avoid unnecessary energy consumption.

[0089] Optionally, generating washing parameter adjustment instructions based on the stain removal efficiency and the remaining stain removal potential value includes: A washing conflict status label is determined based on the decontamination efficiency and the remaining decontamination potential value. Based on the washing conflict status label and the preset parameter adjustment rules, the initial washing parameter adjustment amount is determined; The boundary information of the washing parameters is determined based on the material composition information and color information. Based on the boundary information of the washing parameters, the initial washing parameter adjustment amount is verified for compliance, and a washing parameter adjustment instruction is generated based on the compliance verification result and the initial washing parameter adjustment amount.

[0090] The washing contradiction status label can be a classification identifier used to describe the matching relationship between the detergency and the remaining detergency potential value, and may include: Low efficiency, high potential: The stain removal efficiency is less than the preset efficiency threshold and the remaining stain removal potential value is greater than the preset potential value threshold (the stain removal ability is insufficient, but there are still a lot of stains to be removed). High efficiency and high potential: The decontamination efficiency is greater than or equal to the preset efficiency threshold and the remaining decontamination potential value is greater than the preset potential value threshold (the decontamination capacity is sufficient and the intensity needs to be maintained to complete the task quickly). Inefficient and low potential: The stain removal efficiency is less than the preset efficiency threshold and the remaining stain removal potential value is less than or equal to the preset potential value threshold (the stain removal ability is insufficient, but there are few remaining stains, so there is no need to over-enhance it). High efficiency and low potential: The stain removal efficiency is greater than or equal to the preset efficiency threshold and the remaining stain removal potential value is less than or equal to the preset potential value threshold (sufficient stain removal ability, little remaining stains, intensity can be reduced).

[0091] The preset parameter adjustment rules can be a set of parameter adjustment strategies formulated for different washing conflict status labels, and may include: Low efficiency, high potential: Washing water temperature increased by 5 degrees Celsius, washing speed increased by 15%; High efficiency and high potential: Maintain current parameters; Inefficient and low-potential: The washing water temperature is increased by 3 degrees Celsius, but the washing speed remains unchanged; High efficiency and low potential: The washing water temperature is reduced by 3 degrees Celsius and the washing speed is reduced by 10%.

[0092] The initial washing parameter adjustment amount can be the original adjustment value of the washing parameters calculated according to the preset parameter adjustment rules, without considering the constraints of clothing characteristics.

[0093] Among them, the boundary information of washing parameters can be the safe range of washing parameters determined based on material composition information and color information.

[0094] In one embodiment, the method for determining the washing parameter boundary information based on material composition information and color information can be as follows: based on a pre-built mapping relationship between material composition information and washing parameter boundary reference, determine the washing parameter boundary reference corresponding to the current material composition information; determine the color fastness of the clothing based on the material composition information and color information; and shrink the washing parameter boundary reference based on the color fastness of the clothing to obtain the washing parameter boundary information.

[0095] In one embodiment, the method of verifying the compliance of the initial washing parameter adjustment based on the washing parameter boundary information, and generating a washing parameter adjustment instruction based on the compliance verification result and the initial washing parameter adjustment, can be as follows: Summing the current washing parameter with the initial washing parameter adjustment to obtain the initial adjusted washing parameter; verifying whether the initial adjusted washing parameter is within the washing parameter boundary information; if so, directly determining the initial washing parameter adjustment as the target washing parameter adjustment; if not and the initial adjusted washing parameter exceeds the upper limit of the washing parameter boundary information, subtracting the current washing parameter from the upper limit of the washing parameter boundary information to obtain the target washing parameter adjustment; if not and the initial adjusted washing parameter exceeds the lower limit of the washing parameter boundary information, subtracting the current washing parameter from the lower limit of the washing parameter boundary information to obtain the target washing parameter adjustment, and writing the target washing parameter adjustment into a preset adjustment instruction template to obtain the washing parameter adjustment instruction.

[0096] The advantage of this solution is that it accurately identifies washing conflicts through status tags and performs boundary checks by outputting adjustment amounts in a rule-based manner and combining them with clothing characteristics, thereby achieving a balance between the accuracy, safety, and standardization of washing parameter adjustments.

[0097] S208, execute the washing parameter adjustment instruction to dynamically adjust the washing parameters of the washing program.

[0098] The advantage of this setup is that the stain removal status parameters are directly linked to the core process of stain removal, which can more accurately reflect the actual stain removal progress and improve the timeliness and adaptability of washing parameter adjustments.

[0099] Figure 3 This is a flowchart illustrating another adaptive detergent dispensing and washing control method provided in an embodiment of this application. Figure 3 As shown, the specific steps include the following: S301, Obtain the core attribute information and stain physical property information of the garment to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the garment to be washed, and the stain physical property information includes viscosity information and adhesion information.

[0100] S302, determine the stain type information based on the stain physical properties information, and determine the optimal chemical action path based on the stain type information and the material composition information.

[0101] The stain type information can be a classification label based on the physical properties of the stain (viscosity, adhesion), which may include protein stains, grease stains, particulate stains, and mixed stains.

[0102] In one embodiment, the method of determining stain type information based on stain physical property information can be to determine the stain type information mapped to the current stain physical property information by using a mapping relationship between stain physical property information and stain type information pre-constructed based on a large number of stain samples.

[0103] In one embodiment, the method of determining the optimal chemical action path based on stain type information and material composition information can be as follows: take stain type information as the root node, pre-store the core action mechanism corresponding to each type of stain, take material composition information as the branch node, screen action mechanisms that are compatible with the material, and match them layer by layer through a decision tree to output the combination of action paths that simultaneously meet the stain removal requirements and material compatibility, which is the optimal chemical action path.

[0104] S303, determine the color fastness of the clothing based on the material composition information and the color information.

[0105] Color fastness of clothing can be an indicator of the ability of clothing colors to resist fading and staining during washing.

[0106] In one embodiment, the method for determining the colorfastness of clothing based on material composition information and color information can be achieved by pre-constructing a relational database of material composition information, color information, and colorfastness of clothing, retrieving basic colorfastness of clothing from the relational database based on the current material composition information and color information, collecting the spectral reflectance fluctuation of the surface of the garment to be washed through a visual sensor, and correcting the basic colorfastness of clothing based on the spectral reflectance fluctuation to obtain the colorfastness of clothing.

[0107] S304, Determine the basic chemical resistance boundary information based on the color fastness and material composition information of the clothing.

[0108] Among them, the basic chemical tolerance boundary information can be the range of chemical parameters that are determined solely by the color fastness of the clothing and the information on the material composition.

[0109] In one embodiment, the method for determining the basic chemical resistance boundary information based on clothing color fastness and material composition information can be achieved by pre-constructing a relational database of material composition information and chemical resistance boundary benchmarks, retrieving the chemical resistance boundary benchmarks from the relational database based on the current material composition information, and adjusting the chemical resistance boundary benchmarks based on the color fastness level to obtain the basic chemical resistance boundary information.

[0110] S305, determine the correction coefficient based on the quality information, and correct the basic chemical tolerance boundary information based on the correction coefficient to obtain the chemical tolerance boundary conditions.

[0111] The correction factor can be a factor that dynamically adjusts the basic chemical tolerance boundary information based on the quality of the clothing.

[0112] In one embodiment, the correction coefficient can be determined based on the mass information using a piecewise function calculation method: when the mass information is less than or equal to 1 kg, the correction coefficient is determined to be 1.2; when the mass information is greater than 1 kg and less than or equal to 3 kg, the correction coefficient is determined to be 1.0; when the mass information is greater than 3 kg and less than or equal to 5 kg, the correction coefficient is determined to be 0.9; and when the mass information is greater than 5 kg, the correction coefficient is determined to be 0.8.

[0113] In one embodiment, the method of obtaining chemical tolerance boundary conditions by correcting the basic chemical tolerance boundary information based on the correction coefficient can be achieved by multiplying the upper and lower bounds of the basic chemical tolerance boundary information by the correction coefficient respectively.

[0114] S306, Based on the optimal chemical action path and the chemical tolerance boundary conditions, determine the type of laundry detergent and the target dosage.

[0115] S307, determine the initial washing parameters based on the type of laundry detergent and the target dosage, and start the washing program based on the initial washing parameters.

[0116] S308, during the washing process, acquire the real-time acoustic vibration characteristic spectrum, and dynamically adjust the washing parameters of the washing program based on the real-time acoustic vibration characteristic spectrum.

[0117] The advantage of this solution is that it analyzes stains, clothing material, color, and quality from multiple dimensions, making the matching of laundry detergent type and dosage more accurate and improving the intelligence and reliability of the washing process.

[0118] Figure 4 This is a schematic diagram of the structure of a laundry detergent adaptive dispensing and washing control device provided in an embodiment of this application. Figure 4 As shown, the device includes: The information acquisition module 410 is used to acquire the core attribute information and stain physical property information of the garment to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the garment to be washed, and the stain physical property information includes viscosity information and adhesion information. The laundry detergent determination module 420 is used to determine the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical characteristics information, and to determine the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions. The initial parameter determination module 430 is used to determine initial washing parameters based on the type of laundry detergent and the target dosage, and to start the washing program based on the initial washing parameters; The parameter dynamic adjustment module 440 is used to acquire the real-time acoustic vibration characteristic spectrum during the washing process and dynamically adjust the washing parameters of the washing program based on the real-time acoustic vibration characteristic spectrum.

[0119] Optionally, the parameter dynamic adjustment module 440 is specifically used for: Feature extraction is performed on the real-time acoustic vibration feature spectrum to obtain decontamination state parameters; wherein, the decontamination state parameters include dirt binding force characterization parameters and solution turbidity load characterization parameters; Based on the changes in the decontamination status parameters over time, the decontamination efficiency and remaining decontamination potential are determined. Based on the decontamination efficiency and the remaining decontamination potential, a washing parameter adjustment instruction is generated. The washing parameter adjustment command is executed to dynamically adjust the washing parameters of the washing program.

[0120] Optionally, the parameter dynamic adjustment module 440 is specifically used for: Based on the change information of the dirt binding force characterization parameter over time, the instantaneous decrease rate of the dirt binding force characterization parameter is calculated as the first instantaneous decontamination efficiency; and based on the change information of the solution turbidity load characterization parameter over time, the instantaneous increase rate of the solution turbidity load characterization parameter is calculated as the second instantaneous decontamination efficiency. The first instantaneous decontamination efficiency and the second instantaneous decontamination efficiency are weighted and fused, and the historical peak value of the solution turbidity load characterization parameter is used as the saturation correction factor to calculate the decontamination efficiency as a function of time. Based on the current value of the dirt binding force characterization parameter and the decontamination efficiency, the theoretical time required for the dirt binding force to decrease to a preset target value is predicted, and the reciprocal of the required theoretical time is mapped to the remaining decontamination potential value.

[0121] Optionally, the parameter dynamic adjustment module 440 is specifically used for: A washing conflict status label is determined based on the decontamination efficiency and the remaining decontamination potential value. Based on the washing conflict status label and the preset parameter adjustment rules, the initial washing parameter adjustment amount is determined; The boundary information of the washing parameters is determined based on the material composition information and color information. Based on the boundary information of the washing parameters, the initial washing parameter adjustment amount is verified for compliance, and a washing parameter adjustment instruction is generated based on the compliance verification result and the initial washing parameter adjustment amount.

[0122] Optionally, the laundry detergent determining module 420 is specifically used for: The type of laundry detergent is determined based on the optimal chemical action path and the chemical tolerance boundary conditions. The required amount of active ingredients is determined based on the physical properties of the stain and the type of laundry detergent. Divide the required amount of active ingredient by the concentration of active ingredient in the type of laundry detergent to obtain the target dosage for the type of laundry detergent.

[0123] Optionally, the parameter dynamic adjustment module 440 is further configured to: Structural acoustic vibration signals are obtained by an acoustic vibration sensor installed on the outer wall of the inner drum of the washing machine, and fluid acoustic vibration signals are obtained by an acoustic vibration sensor installed in the circulation pipeline. The structural acoustic vibration signal and the fluid acoustic vibration signal are filtered to obtain effective structural acoustic vibration signal and effective fluid acoustic vibration signal; The effective structural acoustic vibration signal and the effective fluid acoustic vibration signal are integrated to obtain a real-time acoustic vibration characteristic spectrum.

[0124] Optionally, the laundry detergent determining module 420 is further configured to: Based on the physical properties of the stain, the stain type information is determined, and based on the stain type information and the material composition information, the optimal chemical action path is determined. The colorfastness of the clothing is determined based on the material composition information and the color information. Based on the color fastness and material composition information of the clothing, the basic chemical resistance boundary information is determined; Based on the quality information, a correction coefficient is determined, and the basic chemical tolerance boundary information is corrected based on the correction coefficient to obtain the chemical tolerance boundary conditions.

[0125] In this embodiment, an information acquisition module is used to acquire core attribute information and stain physical characteristic information of the garment to be washed; wherein, the core attribute information includes material composition information, color information, and quality information of the garment to be washed, and the stain physical characteristic information includes viscosity information and adhesion information; a laundry detergent determination module is used to determine the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical characteristic information, and to determine the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions; an initial parameter determination module is used to determine initial washing parameters based on the laundry detergent type and the target dosage, and to start the washing program based on the initial washing parameters; a parameter dynamic adjustment module is used to acquire real-time acoustic vibration characteristic spectrum during the washing process, and to dynamically adjust the washing parameters of the washing program based on the real-time acoustic vibration characteristic spectrum. The above-mentioned adaptive laundry detergent dosing and washing control device achieves accurate decision-making regarding the laundry detergent type and target dosage, while dynamically adjusting parameters during the washing process, thereby improving the stain removal effect, protecting the clothing material, and reducing resource waste.

[0126] The laundry detergent adaptive dispensing and washing control device in this application embodiment can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can be mobile phones, tablets, laptops, PDAs, in-vehicle electronic devices, wearable devices, ultra-mobile personal computers (UMPCs), netbooks, or personal digital assistants (PDAs), etc., while non-mobile electronic devices can be servers, network attached storage (NAS), personal computers (PCs), televisions (TVs), ATMs, or self-service machines, etc. This application embodiment does not impose specific limitations.

[0127] The laundry detergent adaptive dispensing and washing control device in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit it.

[0128] The laundry detergent adaptive dispensing and washing control device provided in this application embodiment can realize the various processes implemented in the above embodiments. To avoid repetition, it will not be described again here.

[0129] Figure 5This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. For example... Figure 5 As shown, this application embodiment also provides an electronic device 500, including a processor 501, a memory 502, and a program or instructions stored in the memory 502 and executable on the processor 501. When the program or instructions are executed by the processor 501, they implement the various processes of the above-described laundry detergent adaptive dispensing and washing control method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0130] It should be noted that the electronic devices in the embodiments of this application include the mobile electronic devices and non-mobile electronic devices described above.

[0131] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described laundry detergent adaptive dispensing and washing control method embodiments and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0132] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0133] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0134] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0135] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

[0136] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A method for adaptive detergent dispensing and washing control, characterized in that, The method includes: Obtain the core attribute information and stain physical property information of the garment to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the garment to be washed, and the stain physical property information includes viscosity information and adhesion information; Based on the core attribute information and the physical properties of the stain, the optimal chemical action path and chemical tolerance boundary conditions are determined, and the type of laundry detergent and the target dosage are determined based on the optimal chemical action path and the chemical tolerance boundary conditions. The initial washing parameters are determined based on the type of laundry detergent and the target dosage, and the washing program is started based on the initial washing parameters. During the washing process, a real-time acoustic vibration characteristic spectrum is acquired, and the washing parameters of the washing program are dynamically adjusted based on the real-time acoustic vibration characteristic spectrum.

2. The adaptive detergent dispensing and washing control method according to claim 1, characterized in that, The step of dynamically adjusting the washing parameters of the washing program based on the real-time acoustic vibration characteristic spectrum includes: Feature extraction is performed on the real-time acoustic vibration feature spectrum to obtain decontamination state parameters; wherein, the decontamination state parameters include dirt binding force characterization parameters and solution turbidity load characterization parameters; Based on the changes in the decontamination status parameters over time, the decontamination efficiency and remaining decontamination potential are determined. Based on the decontamination efficiency and the remaining decontamination potential, a washing parameter adjustment instruction is generated. The washing parameter adjustment command is executed to dynamically adjust the washing parameters of the washing program.

3. The adaptive detergent dispensing and washing control method according to claim 2, characterized in that, The step of determining the decontamination efficiency and remaining decontamination potential based on the change information of the decontamination status parameters over time includes: Based on the change information of the dirt binding force characterization parameter over time, the instantaneous decrease rate of the dirt binding force characterization parameter is calculated as the first instantaneous decontamination efficiency; and based on the change information of the solution turbidity load characterization parameter over time, the instantaneous increase rate of the solution turbidity load characterization parameter is calculated as the second instantaneous decontamination efficiency. The first instantaneous decontamination efficiency and the second instantaneous decontamination efficiency are weighted and fused, and the historical peak value of the solution turbidity load characterization parameter is used as the saturation correction factor to calculate the decontamination efficiency as a function of time. Based on the current value of the dirt binding force characterization parameter and the decontamination efficiency, the theoretical time required for the dirt binding force to decrease to a preset target value is predicted, and the reciprocal of the required theoretical time is mapped to the remaining decontamination potential value.

4. The adaptive detergent dispensing and washing control method according to claim 2, characterized in that, The step of generating washing parameter adjustment instructions based on the stain removal efficiency and the remaining stain removal potential value includes: A washing conflict status label is determined based on the decontamination efficiency and the remaining decontamination potential value. Based on the washing conflict status label and the preset parameter adjustment rules, the initial washing parameter adjustment amount is determined; The boundary information of the washing parameters is determined based on the material composition information and color information. Based on the boundary information of the washing parameters, the initial washing parameter adjustment amount is verified for compliance, and a washing parameter adjustment instruction is generated based on the compliance verification result and the initial washing parameter adjustment amount.

5. The adaptive detergent dispensing and washing control method according to claim 1, characterized in that, The determination of the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions includes: The type of laundry detergent is determined based on the optimal chemical action path and the chemical tolerance boundary conditions. The required amount of active ingredients is determined based on the physical properties of the stain and the type of laundry detergent. Divide the required amount of active ingredient by the concentration of active ingredient in the type of laundry detergent to obtain the target dosage for the type of laundry detergent.

6. The adaptive detergent dispensing and washing control method according to claim 1, characterized in that, The acquisition of real-time acoustic vibration feature spectrum includes: Structural acoustic vibration signals are obtained by an acoustic vibration sensor installed on the outer wall of the inner drum of the washing machine, and fluid acoustic vibration signals are obtained by an acoustic vibration sensor installed in the circulation pipeline. The structural acoustic vibration signal and the fluid acoustic vibration signal are filtered to obtain effective structural acoustic vibration signal and effective fluid acoustic vibration signal; The effective structural acoustic vibration signal and the effective fluid acoustic vibration signal are integrated to obtain a real-time acoustic vibration characteristic spectrum.

7. The adaptive detergent dispensing and washing control method according to claim 1, characterized in that, The determination of the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical properties information includes: Based on the physical properties of the stain, the stain type information is determined, and based on the stain type information and the material composition information, the optimal chemical action path is determined. The colorfastness of the clothing is determined based on the material composition information and the color information. Based on the color fastness and material composition information of the clothing, the basic chemical resistance boundary information is determined; Based on the quality information, a correction coefficient is determined, and the basic chemical tolerance boundary information is corrected based on the correction coefficient to obtain the chemical tolerance boundary conditions.

8. A laundry detergent adaptive dispensing and washing control device, characterized in that, The device includes: The information acquisition module is used to acquire the core attribute information and stain physical property information of the clothes to be washed; wherein, the core attribute information includes the material composition information, color information and quality information of the clothes to be washed, and the stain physical property information includes viscosity information and adhesion information. The laundry detergent determination module is used to determine the optimal chemical action path and chemical tolerance boundary conditions based on the core attribute information and the stain physical characteristics information, and to determine the laundry detergent type and target dosage based on the optimal chemical action path and the chemical tolerance boundary conditions. An initial parameter determination module is used to determine initial washing parameters based on the type of laundry detergent and the target dosage, and to start the washing program based on the initial washing parameters; The parameter dynamic adjustment module is used to acquire real-time acoustic vibration characteristic spectrum during the washing process and dynamically adjust the washing parameters of the washing program based on the real-time acoustic vibration characteristic spectrum.

9. An electronic device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the laundry detergent adaptive dispensing and washing control method as described in any one of claims 1-7.

10. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions, which, when executed by a processor, implement the laundry detergent adaptive dispensing and washing control method as described in any one of claims 1-7.

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