Clothes processing equipment, control method and device thereof and storage medium

Abstract

The invention provides clothes processing equipment, a control method and device thereof and a computer readable storage medium, and the control method comprises the steps: obtaining a processing stage; obtaining a fusion model associated with the processing stage; environment parameters associated with the treatment stage are obtained, and at least one of washing water parameters, load parameters and basic water temperature is obtained; according to the fusion model, the environment parameters and at least one of the washing water parameters, the load parameters and the basic water temperature, operation parameters and / or operation modes matched with the treatment stage are / is determined; and controlling the clothes processing equipment to operate in the processing stage according to the operation parameters and / or the operation mode.

Description

Technical Field

[0001] The present application relates to the technical field of clothing processing, and in particular to a clothing processing device and a control method, device and storage medium thereof. Background Art

[0002] Clothes handling equipment is a common household appliance used for washing and caring for household items. Washing machines are a common type of clothing handling equipment. With their increasing popularity, clothing handling equipment has expanded to diverse regions. However, these equipment employs fixed washing methods and lacks the personalized washing needs of specific regions. For example, during the design phase, clothing handling equipment was designed with several fixed washing methods for plains. However, when used in plateau areas, these fixed washing methods are no longer sufficient due to environmental changes. Summary of the Invention

[0003] The present application provides a clothing processing device and its control method, device and storage medium, aiming to solve the technical problem that clothing processing devices in the prior art adopt an inherent washing method and lack personalized washing needs for special regions.

[0004] In a first aspect, the present application further proposes a control method for a clothes processing device, comprising:

[0005] Get the processing stage;

[0006] obtaining a fusion model associated with the processing stage;

[0007] obtaining environmental parameters associated with the processing stage and obtaining at least one of a wash water parameter, a load parameter, and a base water temperature;

[0008] determining an operating parameter and / or operating mode matching the processing stage based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature;

[0009] The laundry treating device is controlled to operate with the operating parameters and / or the operating mode during the treatment phase.

[0010] Optionally, the treatment stage includes a pre-wash stage;

[0011] Obtaining a fusion model associated with the processing stage includes:

[0012] obtaining a first fusion model associated with the pre-wash stage;

[0013] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0014] Obtain altitude parameters, base water temperature, load weight parameters, and load soiling parameters;

[0015] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0016] A target washing water temperature of the clothes treating apparatus in the pre-wash stage is determined according to the first fusion model, the altitude parameter, the basic water temperature, the load weight parameter, and the load stain parameter.

[0017] Optionally, the treatment stage includes a main wash stage;

[0018] Obtaining a fusion model associated with the processing stage includes:

[0019] obtaining a second fusion model associated with the main wash stage;

[0020] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0021] Obtain altitude parameters, washing water parameters, basic water temperature, load material and load stain parameters;

[0022] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0023] The target washing water temperature and washing time of the laundry treatment device in the treatment stage are determined according to the second fusion model, the altitude parameter, the washing water parameter, the load material and the load stain parameter.

[0024] Optionally, the treatment stage includes a rinsing stage;

[0025] Obtaining a fusion model associated with the processing stage includes:

[0026] obtaining a third fusion model associated with the rinsing stage;

[0027] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0028] Obtaining altitude parameters, wash water foam concentration, load weight, load soiling parameters, and wash water temperature;

[0029] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0030] The number of rinses and / or the rinsing mode of the laundry treatment device in the rinsing phase is determined according to the third fusion model, the altitude parameter, the wash water foam concentration, the load weight, the load stain parameter and the wash water temperature.

[0031] Optionally, the control method further includes:

[0032] If the environmental parameter or the washing water parameter is an abnormal parameter;

[0033] then determining the abnormal type of the environmental parameter or the washing water parameter;

[0034] If the abnormality type is a short-term abnormality type, the environmental parameter or the washing water parameter is corrected using the first correction model to obtain a corrected environmental parameter or a corrected washing water parameter;

[0035] If the abnormality type is a long-term abnormality type, the environmental parameter or the washing water parameter is corrected using a second correction model or the environmental parameter or the washing water parameter collected by a redundant sensor is obtained to obtain a corrected environmental parameter or a corrected washing water parameter;

[0036] Determining the operating parameters and / or operating mode matching the processing stage based on the fusion model, the environmental parameters, and at least one of the washing water parameters, the load parameters, and the basic water temperature includes:

[0037] An operating parameter and / or operating mode matching the processing stage is determined based on the fusion model, the corrected environmental parameter, the corrected washing water parameter and at least one of the load parameter.

[0038] Optionally, determining the operating parameters and / or operating mode matching the processing stage according to the fusion model, the environmental parameters, and at least one of the washing water parameters, the load parameters, and the basic water temperature includes:

[0039] determining whether the fusion model needs to be corrected based on at least one of the environmental parameter, the washing water parameter, and the load parameter;

[0040] If yes, the fusion model is modified to obtain a modified fusion model;

[0041] Based on the corrected fusion model and the environmental parameters and at least one of the washing water parameters, the load parameters, and the basic water temperature, an operating parameter and / or an operating mode matching the processing stage is determined.

[0042] Optionally, the altitude parameter is a parameter that has been periodically calibrated.

[0043] In a second aspect, the present application further provides a control device for a clothes processing device, the device comprising:

[0044] an acquisition module, configured to acquire a processing stage, acquire a fusion model associated with the processing stage, acquire an environmental parameter associated with the processing stage, and acquire at least one of a washing water parameter, a load parameter, and a basic water temperature;

[0045] a determination module, configured to determine an operating parameter and / or operating mode matching the processing stage based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature;

[0046] The control module is used to control the clothes processing device to operate with the operating parameters and / or the operating mode during the processing stage.

[0047] In a third aspect, the present application further proposes a clothing processing device, which includes a controller, and the controller is configured to be executed by the processor to implement the control method of the clothing processing device as described above.

[0048] In a fourth aspect, the present application further proposes a computer-readable storage medium on which a computer program is stored. The computer program is loaded by a processor to execute the steps in the control method of the clothing processing device as described above.

[0049] In the technical solution of the embodiments of this application, by obtaining a fusion model for the corresponding processing stage and determining the operating parameters and / or operating mode that match the processing stage based on environmental parameters and at least one of wash water parameters, load parameters, and base water temperature, the laundry treatment device operates according to the operating parameters and / or operating mode. The environmental parameters reflect the environmental conditions of the laundry treatment device, and thus can be targeted to generate operating parameters and / or operating modes for different processing stages that meet local washing needs based on local conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 This is a schematic flow chart of an embodiment of a control method for a clothes processing device provided in an embodiment of the present application;

[0052] Figure 2 This is a schematic flow chart of a sub-embodiment of a method for controlling a clothes processing device provided in an embodiment of the present application;

[0053] Figure 3 This is a schematic flow chart of another sub-embodiment of a method for controlling a clothes processing device provided in an embodiment of the present application;

[0054] Figure 4 This is a schematic flow chart of another sub-embodiment of a method for controlling a clothes processing device provided in an embodiment of the present application;

[0055] Figure 5 This is a flowchart of yet another sub-embodiment of a method for controlling a clothes processing device provided in an embodiment of the present application;

[0056] Figure 6 yes Figure 1 Schematic diagram of sub-steps of step S400;

[0057] Figure 7 It is a structural schematic diagram of a control device of a clothing processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts shall fall within the scope of protection of the present invention.

[0059] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the said features. In the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0060] In this application, the word "exemplary" is used to mean "serving as an example, illustration, or illustration." Any embodiment described in this application as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is given to enable any person skilled in the art to make and use the invention. In the following description, details are listed for the purpose of explanation. It should be understood that one of ordinary skill in the art will recognize that the invention can be practiced without these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of the invention with unnecessary detail. Therefore, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

[0061] The embodiments of the present application provide a clothing processing device and a control method, device and storage medium thereof, which are described in detail below.

[0062] The clothing processing device may be a washing machine, a washer-dryer, a drying machine, a shoe washer, a maternal and child washing machine, or the like. The clothing processing device may be a drum-type device or a pulsator-type washing device. The clothing processing device includes a controller, which is used to execute the control method for the clothing processing device proposed in the embodiments of the present application. The clothing processing device includes a drum assembly, a water temperature adjustment assembly, a motor drive assembly, a water inlet assembly, a drainage assembly, etc. The drum assembly is used to place items to be washed, i.e., a load, such as clothes, bedding, curtains, shoes, etc. The water temperature adjustment assembly is used to adjust the water temperature in the drum assembly. For example, the water temperature adjustment assembly may include a heating wire, a heat pump auxiliary heating device, etc. The motor drive assembly is used to drive the drum assembly to execute the action instructions output by the controller to achieve mechanical action on the load, such as swinging at different frequencies, rotating at different speeds, etc. The water inlet assembly is used to provide washing water to the drum assembly and is connected to an external water source; the water inlet assembly is used to execute the water inlet instructions output by the controller, such as pulse water inlet, jet water inlet, normal water inlet, etc. The drainage component is used to execute the drainage instruction output by the controller. For example, the drainage component includes a drainage pump for draining water out of the barrel component.

[0063] The clothing processing device also includes a collection device. The collection device includes a temperature sensor, an air pressure sensor, a weight sensor, a turbidity sensor, a foam sensor, etc. The temperature sensor is used to measure the water temperature in the drum assembly. The air pressure sensor is used to collect air pressure information of the geographical location of the clothing processing device; the weight sensor is used to measure the weight of the load in the drum assembly; the turbidity sensor is used to measure the degree of contamination of the load in the drum assembly; and the foam sensor is used to measure the foam concentration of the washing water in the drum assembly. In some embodiments, the air pressure sensor is used to collect ambient air pressure data in real time and to calculate the altitude based on the International Standard Atmospheric Model. The weight sensor obtains the weight of the clothes by detecting changes in the motor current. In some embodiments, the collection device may also include an image collection device, such as an image collection device, where the image information collected by the image collection device is used to determine the material of the load and the degree of contamination, etc. In some embodiments, after the load is placed, the motor can be driven to determine whether the clothes are made of delicate fabric or ordinary fabric based on the clothing type recognition algorithm (by analyzing the motor starting current waveform).

[0064] In an embodiment, the air pressure sensor can use a temperature compensation algorithm (such as polynomial fitting) to eliminate the drift effect of ambient temperature on air pressure measurement, and combine digital filtering technology (median filtering + sliding average filtering combination) to suppress high-frequency electromagnetic interference and low-frequency noise. For example: through periodic calibration (once every 10 minutes), the sensor zero drift is corrected to ensure that the altitude calculation error is ≤±5 meters (based on the International Standard Atmospheric Model). For example, in an embodiment, the Kalman filter algorithm is used to fuse historical data with the current measurement value to establish a preset air pressure dynamic model to regularly update the air pressure data to obtain the altitude parameter after periodic calibration.

[0065] In an embodiment, the temperature sensor may use a four-wire platinum resistor (PT1000) to improve the temperature measurement accuracy (±0.5° C.), and cooperate with a hardware RC filter circuit to reduce power supply ripple interference.

[0066] In the embodiment, the foam sensor is based on the principle of infrared scattering off the tube and uses pulse modulation technology (such as 50kHz square wave modulation on the transmitter end) to avoid ambient light interference, achieving a detection accuracy of ±5% FS (full scale). The foam sensor uses a wavelet noise reduction algorithm, using multi-layer wavelet decomposition to remove high-frequency noise (such as signal fluctuations caused by mechanical vibration), preserving the true trend of foam concentration.

[0067] In the technical solution of the embodiment of the present application, the data from each sensor is collected using a synchronized clock trigger, ensuring the consistency of timestamps across multiple data sources to support subsequent fusion calculations. That is, in the technical solution of the embodiment of the present application, the fusion model performs data fusion on parameters collected at the same time or within the same preset time period.

[0068] like Figure 1 FIG. 1 is a flow chart of an embodiment of a method for controlling a clothes processing device according to an embodiment of the present application. The method for controlling a clothes processing device includes:

[0069] S100, acquisition processing stage;

[0070] S200, obtaining a fusion model associated with the processing stage;

[0071] S300, acquiring environmental parameters associated with the processing stage and acquiring at least one of a washing water parameter, a load parameter, and a basic water temperature;

[0072] S400, determining an operating parameter and / or operating mode matching the processing stage based on the fusion model, the environmental parameter, and at least one of the washing water parameter, the load parameter, and the basic water temperature;

[0073] S500: Control the clothes treating device to operate with the operating parameters and / or the operating mode during the treatment phase.

[0074] In the technical solution of the embodiments of this application, by obtaining a fusion model for the corresponding processing stage and determining the operating parameters and / or operating mode that match the processing stage based on environmental parameters and at least one of wash water parameters, load parameters, and base water temperature, the laundry treatment device operates according to the operating parameters and / or operating mode. The environmental parameters reflect the environmental conditions of the laundry treatment device, and thus can be targeted to generate operating parameters and / or operating modes for different processing stages that meet local washing needs based on local conditions.

[0075] In some embodiments, the environmental parameters include air pressure parameters. Air pressure is used to reflect the local altitude. That is, in some technical solutions of the embodiments of the present application, the washing mode (operating parameters and / or operating mode) needs to be adjusted according to the altitude, rather than adopting the washing mode under the conventional mode. For example, in the prior art, when these traditional washing machines are used in plateau areas, the dissolution efficiency and activity of the detergent drop significantly due to the decrease in the boiling point of water, making it difficult to wash clothes. The fixed washing time and rinsing mode under the conventional mode are also not suitable for the special environment of the plateau area, and are prone to detergent residue. To this end, through the technical solution of the present application, real-time dynamic monitoring of environmental parameters and collaborative optimization of multi-dimensional parameters are carried out, such as adjusting the heating water temperature, washing time, and washing mode, to meet the diverse washing needs of different regions. Therefore, the present application proposes a control system and method for a clothing processing device that can automatically adjust the operating parameters and / or operating mode according to the environmental conditions of different regions.

[0076] In some embodiments, the fusion model can be a BP neural network model. Different BP neural network models are configured accordingly for different processing stages. At different processing stages, the corresponding optimal washing strategy (operating mode and / or operating parameters, such as washing time, number of rinses, or washing water temperature, etc.) is obtained based on the corresponding BP neural network model and at least one of the required environmental parameters, washing water parameters, and load parameters. The BP neural network model can be continuously trained and optimized based on user washing data and feedback.

[0077] In some embodiments, the learning of the BP neural network model may include the following steps:

[0078] Data collection: Record user washing data (parameters such as altitude, water temperature, and clothing weight) and user-adjusted washing parameters (such as water temperature and number of rinses).

[0079] Data labeling: Compare user-adjusted parameters with system default values ​​and generate correction factor labels (e.g., if the user adjusts the water temperature from 40°C to 35°C, the label is -5°C).

[0080] Network initialization: The fuzzy neural network input layer receives the user's scrubbed data, the hidden layer uses the Gaussian function to determine the degree to which the data belongs to the "low / medium / high" state, and the output layer generates the initial correction coefficient.

[0081] Forward propagation: The input data is calculated through the Gaussian function to calculate the membership, activate the corresponding fuzzy rule (such as "high altitude → water temperature compensation +"), and output the correction coefficient.

[0082] Error calculation: Compare the error between the system output and the user tag (e.g., system output +8°C, user tag +5°C, error -3°C).

[0083] Parameter update: Adjust the Gaussian function parameters (center value, width) through the gradient descent method to reduce errors (such as reducing the high altitude compensation amplitude).

[0084] Strategy Generation: Regularly train the network with new data to generate localized optimization strategies.

[0085] As an optional implementation of the above embodiment, the treatment stage includes a pre-washing stage. Figure 2 As shown, obtaining the fusion model associated with the processing stage includes:

[0086] S210, acquiring a first fusion model associated with the pre-washing stage;

[0087] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0088] S310, obtaining altitude parameters, base water temperature, load weight parameters, and load stain parameters;

[0089] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0090] S410: Determine a target washing water temperature of the clothes treating apparatus in the pre-wash stage according to the first fusion model, the altitude parameter, the basic water temperature, the load weight parameter, and the load stain parameter.

[0091] In this embodiment, a target wash water temperature is determined in a preliminary stage using the altitude parameter, base water temperature, load weight parameter, load and stain parameter, and the first fusion model. This allows the detergent to fully dissolve and activate in the water, and also allows stains to be fully dissolved in the wash water. In this embodiment, the base water temperature is the set water temperature in normal wash mode.

[0092] In some embodiments, the first fusion model includes a first sub-fusion model and a second sub-fusion model. The first sub-fusion model is used to determine the standard water temperature; the second sub-fusion model is used to determine the compensation water temperature. The target wash water temperature is the sum of the standard water temperature and the compensation water temperature.

[0093] Since the load and soil parameters are not yet measured during pre-wash, the standard water temperature is first determined using the first sub-fusion model, altitude parameters, base water temperature, and load weight parameters. During washing at the standard temperature, the soil gradually diffuses into the water, at which point the load and soil parameters can be measured. At this point, the compensation water temperature is determined based on the second sub-fusion model, altitude parameters, base water temperature, load weight parameters, and load and soil parameters. The heating component is then controlled to heat the wash water above the standard water temperature to achieve the target wash temperature.

[0094] In an embodiment, the standard water temperature for pre-washing can be obtained as follows:

[0095] T1=ω1T boil +ω2T set +ω3M

[0096] Where, T1 is the standard water temperature for pre-washing, ℃; T boil is the boiling point corresponding to the altitude parameter; T set where ω1 is the base water temperature (°C), M is the load weight parameter (kg), and ω2, ω3 are weight factors corresponding to the altitude parameter, base water temperature, and load weight parameter, respectively. For example, they can be 0.45, 0.35, and 0.2.

[0097] In an embodiment, the compensation water temperature can be obtained as follows:

[0098] △T=ω4T boil +ω5T set +ω6M+ω7S

[0099] Where, △T is the compensation water temperature, ℃; T boil is the boiling point corresponding to the altitude parameter; T set Where ω4, ω5, ω6, and ω7 are weight factors corresponding to altitude, base water temperature, load weight, and soiling parameters, respectively. For example, they can be 0.3, 0.3, 0.2, and 0.2.

[0100] Furthermore, in some embodiments, the standard water temperature may be applied to normal washing in a non-plateau mode.

[0101] As an optional embodiment of the above embodiment, the treatment stage includes a main wash stage. Figure 3 As shown, obtaining the fusion model associated with the processing stage includes:

[0102] S220, acquiring a second fusion model associated with the main wash stage;

[0103] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0104] S320, obtaining altitude parameters, washing water parameters, basic water temperature, load material and load stain parameters;

[0105] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0106] S420: Determine a target washing water temperature and a washing time for the laundry treatment device in the treatment stage according to the second fusion model, the altitude parameter, the washing water parameter, the load material, and the load stain parameter.

[0107] In some embodiments, in the second fusion model, a differentiated strategy is generated based on the fusion parameters of air pressure (determining boiling point), fabric (determining mechanical force), degree of staining (determining washing intensity), and water temperature (determining activity). For example, for delicate fabrics with low air pressure (altitude > 3000 meters): a low-frequency oscillation (20 rpm) with a 5-minute pause every 10 minutes is used in an "intermittent washing" mode to prevent fabric damage; for ordinary fabrics with high air pressure (altitude < 2000 meters): the washing time is dynamically extended based on weight (for every 1kg increase, the time is increased by 5%), and a heat pump is activated to heat to boiling point.

[0108] In some embodiments, the second fusion model includes a third sub-fusion model, a fourth sub-fusion model, and a fifth sub-fusion model. The third sub-fusion model and the fourth sub-fusion model are used to determine the water temperature. The fifth sub-fusion model is used to determine the wash time.

[0109] Since the load and soil parameters are not yet measured during the main wash, the standard water temperature is first determined using the third sub-fusion model, altitude parameters, base water temperature, and load weight parameters. During washing at the standard temperature, the soil gradually diffuses into the water, at which point the load and soil parameters can be measured. At this point, the compensation water temperature is determined based on the fourth sub-fusion model, altitude parameters, base water temperature, load weight parameters, and load and soil parameters. The heating component is then controlled to heat the wash water above the standard water temperature to the compensation water temperature, achieving the target wash temperature.

[0110] In some embodiments, the standard water temperature can be obtained as follows:

[0111] T2=ω8T boil +ω9T set +ω 10 M

[0112] Where, T2 is the standard water temperature for main wash, ℃; Tboil is the boiling point corresponding to the altitude parameter; T set is the basic water temperature, M is the load weight parameter, kg; ω8, ω9, ω 10 These are the weighting factors corresponding to the altitude parameter, base water temperature, and load weight parameters, respectively. Unlike pre-wash, the weighting differs due to the intensity of the main wash, resulting in different water temperatures, such as 0.4, 0.35, and 0.25. The above calculations are all numerical operations and do not involve unit operations.

[0113] In an embodiment, the compensation water temperature can be obtained as follows:

[0114] △T=ω 11 T boil +ω 12 T set +ω 13 S+ω 14 D

[0115] Where, △T is the compensation water temperature, ℃; T boil is the boiling point corresponding to the altitude parameter; T set is the basic water temperature in °C; S is the degree of stain, which is obtained from the stain parameter and stain parameter-degree table, and is 0-100; D is the value corresponding to the material parameter, and is 0-100. For example, for soft fabrics, it is 0-50; for ordinary fabrics, it is 50-100. 11 、ω 12 、ω 13 、ω 14 These are the weight factors corresponding to the altitude parameter, base water temperature, stain parameter, and material parameter, for example, they can be 0.4, 0.25, 0.15, and 0.2.

[0116] The third sub-fusion model is a mapping relationship. For example, for soft fabrics at high altitudes, the inner drum will swing at a low frequency for 80% of the standard time. For ordinary fabrics at low altitudes, the inner drum will swing at a medium frequency for 100% of the standard time.

[0117] As an optional implementation of the above embodiment, the treatment stage includes a rinsing stage. Figure 4 As shown, obtaining the fusion model associated with the processing stage includes:

[0118] S230, acquiring a third fusion model associated with the rinsing stage;

[0119] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0120] S330, obtaining altitude parameters, washing water foam concentration, load weight, load stain parameters, and washing water temperature;

[0121] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0122] S430: Determine the number of rinses and / or the rinsing mode of the laundry treatment device in the rinsing phase according to the third fusion model, the altitude parameter, the wash water foam concentration, the load weight, the load stain parameter, and the wash water temperature.

[0123] In the technical solution of the embodiment, the operating parameters of the rinsing phase mainly include the number of rinses and the rinsing mode. The rinsing mode can be: the clothes processing device can use high water level pulse flushing for a preset time period and low water level rinsing. In this embodiment, the third fusion mode can be a scoring model. By inputting the altitude parameter, the wash water foam concentration, the load weight, the load stain parameter, and the wash water temperature into the scoring model, a comprehensive evaluation index is obtained. The number of rinses and / or the rinsing mode are obtained by the corresponding relationship between the comprehensive evaluation index and the number of rinses and / or the rinsing mode.

[0124] For example, the scoring model could be:

[0125] Sc=0.45C+0.2h / 1000+0.1M+0.15T+0.1S;

[0126] Where C is the foam concentration in ppm; h is the altitude in meters; M is the load weight in kilograms; T is the wash water temperature in degrees Celsius; and S is the degree of soiling, a unitless indicator converted to a value between 0 and 100 based on the soiling concentration. Sc is dimensionless, meaning only the value is calculated, not the unit.

[0127] In the embodiment, for example, if Sc≥60 minutes, "low water level cycle rinse × 2 + high water level pulse flush × 1" is performed; if 30≤Sc<60 minutes, "low water level cycle rinse × 1 + high water level pulse flush × 1" is performed. If Sc<30 minutes, "low water level cycle rinse × 1" is performed.

[0128] In the above embodiment, 0.45, 0.2, 0.1, 0.15, and 0.1 are weight factors corresponding to wash water foam concentration, altitude, load weight, wash water temperature, and degree of soiling, respectively. The weight factors can be adjusted, for example, through self-learning, to better suit the user's washing habits. In addition, the weights can be modified based on foam concentration and altitude. For example, when at high altitude and high foam concentration, the weight factors are modified, for example, from 0.45, 0.2, 0.1, 0.15, and 0.1 to 0.55, 0.25, 0.05, 0.1, and 0.05.

[0129] In some embodiments, for every 20 minutes that Sc increases, a low-water level cycle rinse is added; and when Sc>50, one high-water level pulse rinse is added.

[0130] In some embodiments of the present application, the control method further includes:

[0131] determining, based on the environmental parameters, whether the clothes processing device is located at a plateau;

[0132] If so, controlling the clothes processing device to activate the plateau mode;

[0133] If not, the laundry processing device is controlled to enter a standard washing mode.

[0134] If the clothes processing device enters the plateau mode, the clothes processing device is controlled to execute steps S210, S310, S410, S220, S320, S420, S230, S330, and S430 during the pre-wash stage, the main wash stage, and the rinsing stage.

[0135] If the clothes processing device enters the standard washing mode, it operates according to the normal washing mode in the pre-wash stage and the main wash stage, and executes according to steps S230, S330, and S430 in the rinsing stage.

[0136] In some embodiments, the control method includes obtaining the plateau mode set by the user, and then controlling the clothing processing equipment to execute steps S210, S310, S410, S220, S320, S420, S230, S330, and S430 in the pre-wash stage, main wash stage, and rinse stage.

[0137] As an optional implementation of the above embodiment, Figure 5 As shown, the control method further includes:

[0138] S601, if the environmental parameter or the washing water parameter is an abnormal parameter;

[0139] S602, determining the abnormal type of the environmental parameter or the washing water parameter;

[0140] S603, if the abnormality type is a short-term abnormality type, correct the environmental parameter or the washing water parameter using a first correction model to obtain a corrected environmental parameter or a corrected washing water parameter;

[0141] S604: If the abnormality type is a long-term abnormality type, correct the environmental parameter or the washing water parameter using a second correction model or obtain the environmental parameter or the washing water parameter collected by a redundant sensor to obtain a corrected environmental parameter or a corrected washing water parameter;

[0142] Determining the operating parameters and / or operating mode matching the processing stage based on the fusion model, the environmental parameters, and at least one of the washing water parameters, the load parameters, and the basic water temperature includes:

[0143] S450 , determining an operating parameter and / or operating mode that matches the processing stage based on the fusion model, the corrected environmental parameters, the corrected washing water parameters, the load parameters, and at least one of the basic water temperature.

[0144] In this embodiment, an abnormal parameter is marked as an outlier when it deviates from the mean by more than three standard deviations. In this case, the environmental parameter or the wash water parameter is determined to be an abnormal parameter. Then, a determination is made as to whether all parameters are abnormal within a predetermined number of sampling periods. For example, if all parameters are abnormal within three or more sampling periods, the abnormality is considered a long-term abnormality; otherwise, the abnormality is considered a short-term abnormality.

[0145] For short-term anomalies, linear interpolation can be used for correction. Since the data is short-term abnormal, the data at the adjacent moments are normal, so the data corrected by linear interpolation can more accurately reflect the current real data.

[0146] For long-lasting anomalies, the control method uses data collected by redundant sensors or estimation models to estimate the data. In this case, the control method also includes sending an alarm message. The alarm message is displayed on the clothing processing equipment or the user terminal, prompting the user to perform maintenance or intervention.

[0147] After correcting the environmental parameters or washing water parameters, the fusion model is used to determine the operating parameters and / or operating mode that match the processing stage based on the corrected environmental parameters or corrected washing water parameters and at least one of the load parameters.

[0148] As an optional implementation of the above embodiment, Figure 6As shown, determining the operating parameters and / or operating mode matching the processing stage based on the fusion model and the environmental parameters and at least one of the washing water parameters, the load parameters, and the basic water temperature includes:

[0149] S441, judging whether the fusion model needs to be corrected based on at least one of the environmental parameter, the washing water parameter, and the load parameter;

[0150] S442: If yes, modify the fusion model to obtain a modified fusion model;

[0151] S443 , determining operating parameters and / or operating modes that match the processing stage based on the corrected fusion model and the environmental parameters and at least one of the washing water parameters, the load parameters, and the basic water temperature.

[0152] In an embodiment, the fusion model is a processing model obtained after testing under common conditions. For some rare working conditions, the embodiment of the present application can modify the fusion model to adapt to rare processing conditions. For example, in high-altitude and low-water-temperature areas, the weight factor corresponding to the altitude is increased to obtain a fusion model with an increased weight factor, so as to accelerate the compensation of the water temperature. For another example, when rinsing, the foam concentration of the washing water exceeds 200ppm, the weight factor corresponding to the foam concentration is increased to obtain a fusion model with an increased weight factor, so as to increase the number of rinses. For another example, in high-altitude areas and when the load stain level (score is) above 80, the weight factors corresponding to the altitude and the stain level are increased to obtain a fusion model with an increased weight factor, so as to increase the washing time.

[0153] In an embodiment, when it is detected that the water temperature exceeds a safety threshold or the inner drum pressure increases abnormally, the abnormal protection module immediately stops heating and starts a pressure relief program, and at the same time sends a fault warning to the user through the smart terminal application.

[0154] In order to better implement the control method of the clothes processing device in the embodiment of the present application, based on the control method of the clothes processing device, the embodiment of the present application also provides a control device for the clothes processing device, such as Figure 7 As shown, the control device of the clothes processing equipment includes:

[0155] an acquisition module 10, configured to acquire a processing stage, acquire a fusion model associated with the processing stage, acquire an environmental parameter associated with the processing stage, and acquire at least one of a washing water parameter, a load parameter, and a basic water temperature;

[0156] a determination module 20 for determining an operating parameter and / or operating mode matching the processing stage based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature;

[0157] The control module 30 is configured to control the laundry processing device to operate with the operating parameters and / or the operating mode during the processing phase.

[0158] An embodiment of the present application also proposes a control system for a clothing processing device, comprising: one or more processors; a memory; and one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to implement the control method of the clothing processing device as described above.

[0159] Generally speaking, the control system of the clothing processing device usually includes: at least one processor, at least one memory, and a control program of the control system of the clothing processing device stored in the memory and runnable on the processor, and the control program of the control system of the clothing processing device is configured to implement the steps of the previous control method.

[0160] The processor may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. The processor may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), or a PLA (Programmable Logic Array). The processor may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen. The processor may also include an AI (Artificial Intelligence) processor, which is used to process the control method operations related to the control system of the clothing processing device, so that the control method model of the control system of the clothing processing device can be autonomously trained and learned to improve efficiency and accuracy.

[0161] The memory may include one or more computer-readable storage media, which may be non-transitory. The memory may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices and flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory is used to store at least one instruction, which is used to be executed by the processor to implement the control method of the clothing processing device of the control system of the clothing processing device provided in the method embodiment of the present application.

[0162] Get the processing stage;

[0163] obtaining a fusion model associated with the processing stage;

[0164] obtaining environmental parameters associated with the processing stage and obtaining at least one of a wash water parameter, a load parameter, and a base water temperature;

[0165] determining an operating parameter and / or operating mode matching the processing stage based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature;

[0166] The laundry treating device is controlled to operate with the operating parameters and / or the operating mode during the treatment phase.

[0167] Optionally, the treatment stage includes a pre-wash stage;

[0168] Obtaining a fusion model associated with the processing stage includes:

[0169] obtaining a first fusion model associated with the pre-wash stage;

[0170] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0171] Obtain altitude parameters, base water temperature, load weight parameters, and load soiling parameters;

[0172] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0173] A target washing water temperature of the clothes treating apparatus in the pre-wash stage is determined according to the first fusion model, the altitude parameter, the basic water temperature, the load weight parameter, and the load stain parameter.

[0174] Optionally, the treatment stage includes a main wash stage;

[0175] Obtaining a fusion model associated with the processing stage includes:

[0176] obtaining a second fusion model associated with the main wash stage;

[0177] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0178] Obtain altitude parameters, washing water parameters, basic water temperature, load material and load stain parameters;

[0179] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0180] The target washing water temperature and washing time of the laundry treatment device in the treatment stage are determined according to the second fusion model, the altitude parameter, the washing water parameter, the load material and the load stain parameter.

[0181] Optionally, the treatment stage includes a rinsing stage;

[0182] Obtaining a fusion model associated with the processing stage includes:

[0183] obtaining a third fusion model associated with the rinsing stage;

[0184] The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises:

[0185] Obtaining altitude parameters, wash water foam concentration, load weight, load soiling parameters, and wash water temperature;

[0186] Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes:

[0187] The number of rinses and / or the rinsing mode of the laundry treatment device in the rinsing phase is determined according to the third fusion model, the altitude parameter, the wash water foam concentration, the load weight, the load stain parameter and the wash water temperature.

[0188] Optionally, the control method further includes:

[0189] If the environmental parameter or the washing water parameter is an abnormal parameter;

[0190] then determining the abnormal type of the environmental parameter or the washing water parameter;

[0191] If the abnormality type is a short-term abnormality type, the environmental parameter or the washing water parameter is corrected using the first correction model to obtain a corrected environmental parameter or a corrected washing water parameter;

[0192] If the abnormality type is a long-term abnormality type, the environmental parameter or the washing water parameter is corrected using a second correction model or the environmental parameter or the washing water parameter collected by a redundant sensor is obtained to obtain a corrected environmental parameter or a corrected washing water parameter;

[0193] Determining the operating parameters and / or operating mode matching the processing stage based on the fusion model, the environmental parameters, and at least one of the washing water parameters, the load parameters, and the basic water temperature includes:

[0194] An operating parameter and / or operating mode matching the processing stage is determined based on the fusion model, the corrected environmental parameter, the corrected washing water parameter and at least one of the load parameter.

[0195] Optionally, determining the operating parameters and / or operating mode matching the processing stage according to the fusion model, the environmental parameters, the washing water parameters, and the load parameters includes:

[0196] determining whether the fusion model needs to be corrected based on at least one of the environmental parameter, the washing water parameter, and the load parameter;

[0197] If yes, the fusion model is modified to obtain a modified fusion model;

[0198] An operating parameter and / or operating mode matching the processing stage is determined based on the corrected fusion model, the environmental parameters, the washing water parameters, and the load parameters.

[0199] Optionally, the altitude parameter is a parameter that has been periodically calibrated.

[0200] The above is a detailed introduction to a clothing processing device and its control method, device and computer-readable storage medium provided in the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for those skilled in the art, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for controlling a clothes processing device, characterized in that: include: Get the processing stage; obtaining a fusion model associated with the processing stage; obtaining environmental parameters associated with the processing stage and obtaining at least one of a wash water parameter, a load parameter, and a base water temperature; determining an operating parameter and / or operating mode matching the processing stage based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature; The laundry treating device is controlled to operate with the operating parameters and / or the operating mode during the treatment phase.

2. The control method according to claim 1, wherein: The treatment stage includes a pre-wash stage; Obtaining a fusion model associated with the processing stage includes: obtaining a first fusion model associated with the pre-wash stage; The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises: Obtain altitude parameters, base water temperature, load weight parameters, and load soiling parameters; Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes: A target washing water temperature of the clothes treating apparatus in the pre-wash stage is determined according to the first fusion model, the altitude parameter, the basic water temperature, the load weight parameter, and the load stain parameter.

3. The control method according to claim 1, wherein: The treatment stages include a main wash stage; Obtaining a fusion model associated with the processing stage includes: obtaining a second fusion model associated with the main wash stage; The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises: Obtain altitude parameters, washing water parameters, basic water temperature, load material and load stain parameters; Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes: The target washing water temperature and washing time of the laundry treatment device in the treatment stage are determined according to the second fusion model, the altitude parameter, the washing water parameter, the load material and the load stain parameter.

4. The control method according to claim 1, wherein: The treatment stage includes a rinsing stage; Obtaining a fusion model associated with the processing stage includes: obtaining a third fusion model associated with the rinsing stage; The acquiring of the environmental parameters associated with the processing stage and acquiring at least one of the washing water parameters, the load parameters, and the basic water temperature comprises: Obtaining altitude parameters, wash water foam concentration, load weight, load soiling parameters, and wash water temperature; Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes: The number of rinses and / or the rinsing mode of the laundry treatment device in the rinsing phase is determined according to the third fusion model, the altitude parameter, the wash water foam concentration, the load weight, the load stain parameter and the wash water temperature.

5. The control method according to claim 1, wherein: The control method further includes: If the environmental parameter or the washing water parameter is an abnormal parameter; then determining the abnormal type of the environmental parameter or the washing water parameter; If the abnormality type is a short-term abnormality type, the environmental parameter or the washing water parameter is corrected using the first correction model to obtain a corrected environmental parameter or a corrected washing water parameter; If the abnormality type is a long-term abnormality type, the environmental parameter or the washing water parameter is corrected using a second correction model or the environmental parameter or the washing water parameter collected by a redundant sensor is obtained to obtain a corrected environmental parameter or a corrected washing water parameter; Determining the operating parameters and / or operating mode matching the processing stage based on the fusion model, the environmental parameters, and at least one of the washing water parameters, the load parameters, and the basic water temperature includes: An operating parameter and / or operating mode matching the processing stage is determined based on the fusion model, the corrected environmental parameter, the corrected washing water parameter and at least one of the load parameter.

6. The control method according to claim 1, wherein: Determining, based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature, an operating parameter and / or an operating mode that matches the processing stage includes: determining whether the fusion model needs to be corrected based on at least one of the environmental parameter, the washing water parameter, and the load parameter; If yes, the fusion model is modified to obtain a modified fusion model; Based on the corrected fusion model and the environmental parameters and at least one of the washing water parameters, the load parameters, and the basic water temperature, an operating parameter and / or an operating mode matching the processing stage is determined.

7. The control method according to claim 2, 3 or 4, characterized in that: The altitude parameter is a parameter that has been periodically calibrated.

8. A control device for a clothes processing device, characterized in that: The device comprises: an acquisition module, configured to acquire a processing stage, acquire a fusion model associated with the processing stage, acquire an environmental parameter associated with the processing stage, and acquire at least one of a washing water parameter, a load parameter, and a basic water temperature; a determination module, configured to determine an operating parameter and / or operating mode matching the processing stage based on the fusion model, the environmental parameter, and at least one of the wash water parameter, the load parameter, and the basic water temperature; The control module is used to control the clothes processing device to operate with the operating parameters and / or the operating mode during the processing stage.

9. A clothes processing device, characterized in that: The laundry treating apparatus includes a controller configured to be executed by a processor to implement the laundry treating apparatus control method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, and the computer program is loaded by a processor to execute the steps in the control method of a clothes processing device according to any one of claims 1 to 7.

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