Clothes processing equipment control method, electronic equipment and readable storage medium

Abstract

The invention provides a control method of clothes treatment equipment, electronic equipment and a readable storage medium. The control method comprises the following steps: in response to determining that the clothes processing equipment enters a dehydration stage of a washing program, collecting weight real-time change data of clothes in a washing drum in the dehydration stage and eccentricity real-time change data of the washing drum; within a time window when the rotating speed of the washing drum is increased to a preset first rotating speed threshold value, the distribution state of clothes in the washing drum after the washing drum is in a stable state is continuously predicted based on the real-time change data of the weight of the clothes and the real-time change data of the eccentricity; and controlling the operation of the dewatering stage according to the predicted clothes distribution state. By continuously predicting the distribution state of the clothes in the washing drum after the washing drum is in the stable state, whether the washing drum vibrates after entering the high rotating speed is pre-judged, the redistribution of the clothes is adjusted in advance, the time delay of retry after direct high-speed lifting fails is reduced, and the energy consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing processing equipment, and in particular to a control method of clothing processing equipment, an electronic device and a readable storage medium. Background Art

[0002] Washing machines are common household clothing processing devices. When the washing machine is dehydrating, due to the different weights of the clothes, different water absorption capacities, and random uneven distribution, the washing drum may produce large eccentricity changes when rotating at high speed, causing noise, vibration, displacement and other problems, seriously affecting user use.

[0003] At present, the technology of using manual experience to set the eccentricity threshold to solve the eccentric vibration has problems such as low accuracy and low efficiency. Although the technology of using machine learning algorithm to predict the dehydration eccentricity change process can improve efficiency, it still has the following problems:

[0004] 1. Since the dehydration eccentricity is mainly affected by the weight and distribution of clothes, and the clothes in the washing drum cannot be weighed in real time during the dehydration process, it is difficult to perceive the change in the overall weight of the clothes and the impact on the eccentricity after continuous dehydration, resulting in low accuracy of vibration detection;

[0005] 2. It is impossible to obtain the distribution state of clothes after the speed stabilizes in advance. Therefore, the machine learning algorithm needs to wait until the washing drum rises to a certain speed before predicting whether eccentricity will occur. This prolongs the dehydration time and causes energy waste.

[0006] In view of this, the present invention is proposed. Summary of the invention

[0007] The technical problem to be solved by the present invention is to at least overcome some of the shortcomings of the prior art and provide a control method for a clothing processing device. In the rising stage of the washing drum speed, based on the real-time change data of the clothing weight and the real-time change data of the eccentricity of the washing drum, the distribution state of the clothing in the washing drum after the washing drum is in a stable state is continuously predicted, thereby predicting whether the washing drum will vibrate after entering a high speed, adjusting the clothing redistribution in advance, reducing the time delay of retrying after the direct high-speed failure, and reducing energy consumption.

[0008] In order to solve the above technical problems, a first aspect of the present invention is to provide a control method of a clothes processing device, comprising:

[0009] In response to determining that the laundry treatment device enters a dehydration phase of a washing program, collecting real-time change data of the laundry weight in the washing tub and real-time change data of the eccentricity of the washing tub during the dehydration phase;

[0010] During a time window in which the speed of the washing drum is increased to a preset first speed threshold, continuously predicting the distribution state of the clothes in the washing drum after the washing drum is in a stable state based on the real-time change data of the clothes weight and the real-time change data of the eccentricity; and

[0011] The operation of the dehydration stage is controlled according to the predicted laundry distribution state.

[0012] In some embodiments, the step of collecting real-time weight change data of the laundry in the washing tub during the dehydration stage includes:

[0013] Collect at least one of the following data: power change data of the motor in the dehydration stage, speed increase data of the washing tub, and speed decrease data of the washing tub in a non-powered state;

[0014] At least one of the power change data, the speed increase data and the speed decrease data is input into a pre-trained clothing weight change prediction model for processing to obtain the real-time clothing weight change data.

[0015] In some embodiments, the clothing weight change prediction model adopts a time series prediction model.

[0016] In some embodiments, the step of continuously predicting the distribution state of the clothes in the washing tub after the washing tub is in a stable state based on the real-time change data of the clothes weight and the real-time change data of the eccentricity further includes:

[0017] The real-time change data of the clothing weight and the real-time change data of the eccentricity are input into a pre-trained clothing distribution prediction model for processing to obtain the clothing distribution state.

[0018] In some embodiments, the clothing distribution prediction model adopts a multi-classification model.

[0019] In some embodiments, the step of controlling the operation of the dehydration stage according to the predicted laundry distribution state includes:

[0020] The clothes in the washing tub are distributed in a first preset area in the washing tub according to the predicted clothes distribution state, and a deviation correction instruction is issued.

[0021] In some embodiments, the step of controlling the operation of the dehydration stage according to the predicted laundry distribution state includes:

[0022] The clothes in the washing drum are distributed in a second preset area in the washing drum according to the predicted clothes distribution state, and the washing drum is controlled to increase the rotation speed.

[0023] In some embodiments, during the process of controlling the washing drum to increase the rotation speed, the control method further includes:

[0024] In a time window when the speed of the washing drum is increased to a preset second speed threshold, determining the vibration amount of the washing drum based on the real-time change data of the laundry weight, the real-time change data of the eccentricity, and the laundry distribution state;

[0025] In response to determining that the vibration amount of the washing tub exceeds a preset threshold, controlling the washing tub to slow down to a state below the first speed threshold;

[0026] Within the time window when the rotation speed of the washing drum is increased to the first rotation speed threshold again, the distribution state of the clothes in the washing drum after the washing drum is in a stable state is continuously predicted based on the real-time change data of the clothes weight and the real-time change data of the eccentricity, and the operation of the dehydration stage is controlled according to the predicted distribution state of the clothes.

[0027] A second aspect of the present invention provides an electronic device, comprising:

[0028] Processor; and

[0029] A memory, communicatively connected to the processor;

[0030] The memory stores a program that can be executed by the processor. When the program is executed by the processor, the processor can execute the control method of the clothing processing device according to the above.

[0031] A second aspect of the present invention is to provide a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the control method of the clothing processing device described above is implemented.

[0032] After adopting the above technical scheme, the present invention has the following beneficial effects compared with the prior art.

[0033] (1) The present invention continuously predicts the distribution state of the clothes in the washing drum after the washing drum is in a stable state based on the real-time change data of the clothes weight and the real-time change data of the eccentricity of the washing drum during the low-speed stage when the washing drum speed is rising, thereby predicting whether the washing drum will vibrate after entering a high-speed stage, adjusting the clothes redistribution in advance, reducing the retry time delay after the failure of directly increasing the speed, and reducing energy consumption.

[0034] (2) The present invention uses time series prediction modeling to pre-establish a clothing weight change prediction model to continuously predict the change in overall weight and the impact on eccentricity after the clothing is continuously dehydrated, thereby improving the accuracy of clothing distribution and vibration detection, and avoiding the waiting delay time for weight estimation, thereby achieving the purpose of real-time prediction of clothing weight changes.

[0035] (3) The present invention improves the vibration detection accuracy by combining the real-time change data of the weight of the clothes and the real-time change data of the eccentricity during the high-speed stage of the washing drum speed increase, thereby ensuring that the dehydration efficiency of the clothes processing equipment is higher, the energy consumption is lower, and the effect is better. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The accompanying drawings are part of the present invention and are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but do not constitute an improper limitation of the present invention. Obviously, the drawings described below are only some embodiments. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the accompanying drawings:

[0037] Figure 1 is a framework suitable for implementing a control method of a laundry processing device provided according to an exemplary embodiment of the present invention;

[0038] Figure 2 is a flow chart of a control method of a laundry processing apparatus according to an exemplary embodiment of the present invention;

[0039] Figure 3 is a schematic diagram of an implementation process of a control method for a laundry processing device according to an exemplary embodiment of the present invention;

[0040] Figure 4 is a schematic structural diagram of an electronic device provided according to an exemplary embodiment of the present invention.

[0041] In the figure: 100, architecture; 110, control unit; 120, IOT data acquisition system;

[0042] 400, electronic device; 401, processor; 402, memory; 403, bus; 404, communication interface.

[0043] It should be noted that these drawings and textual descriptions are not intended to limit the conceptual scope of the present invention in any way, but are intended to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The following embodiments are used to illustrate the present invention but are not used to limit the scope of the present invention.

[0045] In the description of the present invention, it should be noted that the directions or positional relationships indicated by terms such as “upper”, “lower”, “front”, “back”, “left”, “right”, “vertical”, “inside” and “outside” are based on the directions 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 direction, be constructed and operated in a specific direction, and therefore cannot be understood as a limitation on the present invention.

[0046] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0047] Figure 1 The structure suitable for implementing a control method of a laundry processing device provided according to an exemplary embodiment of the present invention is shown. The laundry processing device may be a drum washing machine or a drum-type washer-dryer, etc.

[0048] like Figure 1 As shown, the architecture 100 includes a control unit 110 of a clothing processing device and an IOT data acquisition system 120 that is communicatively connected to the control unit 110. The control unit 110 is configured to receive and send control instructions during the operation of the clothing processing device, and can also process the collected power change data, the speed increase data of the washing drum, and the speed decrease data of the washing drum in the unpowered state to determine the real-time change data of the clothing weight. The control unit 110 can also process the real-time change data of the clothing weight and the real-time change data of the eccentricity of the washing drum to determine the distribution state of the clothing in the washing drum. The IOT data acquisition system 120 is configured to collect at least one of the power change data of the motor in the dehydration stage, the speed increase data of the washing drum, and the speed decrease data of the washing drum in the unpowered state, the eccentricity data of the washing drum, etc. As an example, the IOT data acquisition system 120 includes a power detection circuit for collecting the power change data of the motor in the dehydration stage, or a speed sensor for collecting the speed increase data of the washing drum in the dehydration stage, the speed decrease data of the washing drum in the unpowered state, etc., and an eccentricity sensor for collecting the eccentricity of the washing drum in the dehydration stage, etc.

[0049] Figure 2 A flow chart of a control method 200 for a laundry treating apparatus according to an exemplary embodiment of the present invention is shown.

[0050] like Figure 2 As shown, the execution of the control method 200 of the laundry processing device includes the following steps:

[0051] S210, in response to determining that the laundry processing device enters the dehydration stage of the washing program, collecting real-time change data of the laundry weight in the washing tub and real-time change data of the eccentricity of the washing tub during the dehydration stage;

[0052] S220, within a time window in which the speed of the washing drum is increased to a preset first speed threshold, continuously predicting the distribution state of the clothes in the washing drum after the washing drum is in a stable state based on the real-time change data of the clothes weight and the real-time change data of the eccentricity; and

[0053] S230: Controlling the operation of the dehydration stage according to the predicted clothes distribution state.

[0054] It should be understood that the steps shown in the control method 200 of the clothing processing device are not exclusive, and the control method 200 of the clothing processing device may also include additional steps not shown and / or may omit the steps shown, and the scope of the present invention is not limited in this respect. It should be noted that the embodiments of the present invention and the features in the embodiments may be combined with each other in the absence of conflict. In addition, unless explicitly limited or inconsistent with the context, the specific steps included in the method described in the present invention are not necessarily limited to the order described, but may be executed in any order or in parallel. Refer to the following Figure 1 to Figure 2 Steps S210 to S230 are described in detail.

[0055] S210

[0056] When the control unit 110 of the laundry processing device determines that the laundry processing device has entered the dehydration stage of the washing program at the current moment, the real-time change data of the laundry weight in the washing drum and the real-time change data of the eccentricity of the washing drum during the dehydration stage are collected. It should be pointed out that the above-mentioned real-time change data of the laundry weight refers to the rate of change of the laundry weight over time. The eccentricity refers to the amount by which the washing drum deviates from the central axis of the washing drum, and the real-time change data of the eccentricity refers to the rate of change of the eccentricity over time.

[0057] Since clothes of different materials and different weights have different water absorption capacities, the real-time change data of the weight of the clothes and the real-time change data of the eccentricity of the clothes containing water during the dehydration process are also different.

[0058] In some embodiments, a pre-trained clothing weight change prediction model is stored in the control unit 110 of the clothing processing device, and the clothing weight change prediction model can process the input data accordingly to obtain real-time clothing weight change data. As an example, the clothing weight change prediction model adopts a time series prediction model. The time series prediction model can be a statistical model such as an autoregressive model, a moving average model, an autoregressive moving average model, or an autoregressive integrated moving average model, and can also be a deep learning model such as a multilayer perceptron, a recurrent neural network, a long short-term memory network, a convolutional neural network, etc., and the present invention does not limit this.

[0059] When training a clothing weight change prediction model, time series data should first be collected, such as the power change data of the motor, the speed increase data of the washing drum, and the speed decrease data of the washing drum in the unpowered state. Then, a clothing weight change prediction model is developed based on any of the above time series prediction models. Thereafter, the performance of the clothing weight change prediction model is monitored and evaluated using the newly collected data until the prediction results of the clothing weight change prediction model meet the preset requirements. Finally, the trained clothing weight change prediction model is stored in the control unit 110 of the clothing processing device to guide the actual operating status of the clothing processing device.

[0060] Specifically, in the dehydration stage, the power detection circuit, the speed sensor, etc. send at least one of the power change data of the motor, the speed increase data of the washing tub, and the speed decrease data of the washing tub in the unpowered state detected in the dehydration stage to the control unit 110 of the clothing processing device. After receiving the above data, the control unit 110 inputs at least one of the power change data, the speed increase data, and the speed decrease data into the above-mentioned clothing weight change prediction model for processing, thereby obtaining the real-time clothing weight change data.

[0061] In the above scheme, the present invention uses time series prediction modeling to pre-establish a clothing weight change prediction model to continuously predict the changes in the overall weight of the clothing and the impact on eccentricity after continuous dehydration, thereby improving the accuracy of clothing distribution and vibration detection, and avoiding the waiting delay time for weight estimation, thereby achieving the purpose of real-time prediction of clothing weight changes.

[0062] In some embodiments, the control unit 110 of the laundry processing apparatus collects the eccentricity of the washing tub during the dehydration stage using an eccentricity sensor, thereby obtaining real-time variation data of the eccentricity.

[0063] S220

[0064] In the time window when the washing drum speed is increased to a preset first speed threshold, the distribution state of the clothes in the washing drum after the washing drum is in a stable state is continuously predicted based on the real-time change data of the clothes weight and the real-time change data of the eccentricity. Optionally, the range of the first speed threshold is 90rps to 110rps.

[0065] It should be pointed out that the washing tub being in a stable state here may be a state when the eccentricity of the washing tub does not exceed a preset eccentricity threshold.

[0066] In the above scheme, in the low-speed stage when the washing drum speed increases, the distribution state of the clothes in the washing drum after the washing drum is in a stable state is continuously predicted based on the real-time change data of the clothes weight and the real-time change data of the eccentricity of the washing drum, so as to predict whether the washing drum will vibrate after entering a high-speed state, adjust the clothes redistribution in advance, reduce the retry time delay after the failure of directly increasing the high speed, and reduce energy consumption.

[0067] In some embodiments, a pre-trained clothing distribution prediction model is stored in the control unit 110 of the clothing processing device, and the clothing distribution prediction model can process the input data accordingly to obtain the clothing distribution state. As an example, the clothing distribution prediction model adopts a multi-classification model. The multi-classification model is, for example, a deep learning model such as a recurrent neural network, a long short-term memory network, a convolutional neural network, etc., and the present invention is not limited to this.

[0068] When training the clothing distribution prediction model, the real-time change data of clothing weight and eccentricity should be collected first. Then, the clothing distribution prediction model is developed based on any of the above multi-classification models. After that, the performance of the clothing distribution prediction model is monitored and evaluated using the newly collected data until the prediction results of the clothing distribution prediction model meet the preset requirements. Finally, the trained clothing distribution prediction model is stored in the control unit 110 of the clothing processing device to guide the actual operation status of the clothing processing device.

[0069] Specifically, after the control unit 110 of the clothing processing device collects the real-time change data of the clothing weight in the washing drum and the real-time change data of the eccentricity of the washing drum during the dehydration stage in step S210, in step S220, the real-time change data of the clothing weight and the real-time change data of the eccentricity are input into the above-mentioned pre-trained clothing distribution prediction model for processing to obtain the clothing distribution state.

[0070] S230

[0071] In step S230, the operation of the dehydration stage is controlled according to the laundry distribution state predicted in step S220.

[0072] In some embodiments, when the control unit 110 of the laundry processing device determines that the laundry in the washing drum is distributed in a first preset area in the washing drum according to the predicted laundry distribution state, a correction instruction is issued. The first preset area is, for example, an area near the drum opening inside the washing drum. When the laundry in the washing drum is distributed in an area near the drum opening of the washing drum, eccentric vibration is easily caused. Therefore, the control unit 110 of the laundry processing device can issue a correction instruction within a time window when the washing drum speed is increased to a preset first speed threshold, so as to avoid extending the dehydration time and reduce power consumption.

[0073] As an example, the above-mentioned correction instruction includes reducing the speed of the washing drum to below 100 rps, for example, so that the clothes are re-rolled in the washing drum to redistribute the clothes. The correction instruction also includes reducing the speed of the washing drum to 0 rps, and performing shaking operations such as forward and reverse swinging to redistribute the clothes. It should be noted that the correction instruction may also include other steps to redistribute the clothes, which will not be repeated in the present invention.

[0074] In some embodiments, when the control unit 110 of the laundry processing device determines that the laundry in the washing drum is distributed in the second preset area in the washing drum according to the predicted laundry distribution state, the washing drum is controlled to increase the speed. The second preset area is, for example, the middle area inside the washing drum or the area close to the bottom of the drum. When the laundry in the washing drum is distributed in the middle area inside the washing drum or the area close to the bottom of the drum, it is not easy to cause vibration, and the laundry distribution meets the preset conditions. Therefore, the control unit 110 of the laundry processing device can issue an instruction to continue to increase the speed and enter the high-speed dehydration stage within the time window when the washing drum speed is increased to the preset first speed threshold.

[0075] In addition, in the process of controlling the washing drum to increase the speed, the control method further includes: determining the vibration amount of the washing drum based on the real-time change data of the laundry weight, the real-time change data of the eccentricity, and the laundry distribution state within the time window when the washing drum speed increases to a preset second speed threshold; in response to determining that the vibration amount of the washing drum exceeds the preset threshold, controlling the washing drum to decelerate to a state below the first speed threshold; and within the time window when the washing drum speed increases to the first speed threshold again, continuously predicting the laundry distribution state in the washing drum after the washing drum is in a stable state based on the real-time change data of the laundry weight and the real-time change data of the eccentricity, and controlling the operation of the dehydration stage according to the predicted laundry distribution state. Optionally, the second speed threshold ranges from 350rps to 450rps.

[0076] In some embodiments, a pre-trained eccentric vibration detection model is stored in the control unit 110 of the laundry processing device, and the eccentric vibration detection model can process the input data accordingly to determine whether the vibration amount of the washing drum exceeds a preset threshold.

[0077] In the above scheme, the vibration detection accuracy is improved by combining the real-time change data of the weight of the clothes and the real-time change data of the eccentricity during the high-speed stage of the washing drum speed increase, and further preventing vibration from occurring after the speed of the washing drum is increased to a high speed, thereby ensuring that the dehydration efficiency of the clothing processing equipment is higher, the energy consumption is lower, and the effect is better.

[0078] Figure 3 FIG. 2 shows an implementation process of a control method for a laundry processing device according to an exemplary embodiment of the present invention. Figure 3 The implementation process of the control method of the clothing processing equipment is further introduced.

[0079] like Figure 3 As shown, when the clothing processing device performs a dehydration task, the IOT data acquisition system 120 collects at least one of the power change data of the motor during the dehydration stage, the speed increase data of the washing drum, the speed decrease data of the washing drum in a non-powered state, the eccentricity data of the washing drum, etc., and sends the collected data to the control unit 110.

[0080] In the low-speed stage when the washing drum speed increases, the control unit 110 uses a pre-trained clothing weight change prediction model based on the collected data to continuously predict the real-time change data of the clothing weight in the washing drum after the clothing is continuously dehydrated, and then uses a pre-trained clothing distribution prediction model combined with the real-time change data of the eccentricity to continuously predict the distribution state of the clothing in the washing drum after the washing drum is in a stable state.

[0081] When it is predicted that the clothes in the washing drum are distributed in an area near the drum opening, the control unit 110 issues a correction instruction. When it is predicted that the clothes in the washing drum are distributed in an area near the middle area or the bottom of the washing drum, the washing drum is controlled to increase the speed.

[0082] Afterwards, in the high speed stage of the washing drum speed increase, the eccentric vibration detection is performed in combination with the real-time change data of the clothing weight and the real-time change data of the eccentricity and the previously predicted clothing distribution state. If high-speed vibration occurs, the washing drum is controlled to slow down and the corresponding steps in the low speed stage of the washing drum speed increase are re-executed. If no high-speed vibration occurs, the washing drum is controlled to continue to increase the speed to complete the dehydration task.

[0083] Figure 4 The structure of an electronic device provided according to an exemplary embodiment of the present invention is shown.

[0084] like Figure 4 As shown, the electronic device 400 includes a processor 401 and a memory 402. The memory 402 is in communication with the processor 401. The memory 402 stores a program executable by the processor. When the program is executed by the processor, the processor 401 can execute the control method 200 of the above-mentioned clothing processing device. As an example, the electronic device is, for example, a control unit of the clothing processing device.

[0085] Figure 4 The electronic device shown further includes a bus 403 and a communication interface 404 , and the processor 401 , the communication interface 404 and the memory 402 are connected via the bus 403 .

[0086] The memory 402 may include a high-speed random access memory (RAM), and may also include a non-volatile memory 402 (Non-Volatile Memory), such as at least one disk storage. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 404 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 403 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus 403 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus 403 or only one type of bus 403 .

[0087] The processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit in the processor 401 or the instruction in the form of software. The above processor 401 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general processor can be a microprocessor or the processor 401 can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present invention can be directly embodied as a hardware decoding processor for execution, or a combination of hardware and software modules in the decoding processor for execution. The software module may be located in a storage medium mature in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 402, and the processor 401 reads the information in the memory 402 and completes the steps of the method of the above embodiment in combination with its hardware.

[0088] An exemplary embodiment of the present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is called and executed by the processor 401, the computer executable instructions prompt the processor 401 to implement the control method 200 of the above-mentioned clothing processing equipment. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0089] The computer program product of the control method 200 of the clothing processing device provided in the embodiment of the present invention includes a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the method in the previous method embodiment. The specific implementation can be referred to the method embodiment, which will not be repeated here.

[0090] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device and / or electronic device can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0091] The above is only a preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment, it is not used to limit the present invention. Any technician familiar with this patent can make some changes or modify the technical contents suggested above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the solution of the present invention.

Claims

1. A control method for a clothes processing device, characterized in that: include: In response to determining that the laundry treatment device enters a dehydration phase of a washing program, collecting real-time change data of the laundry weight in the washing tub and real-time change data of the eccentricity of the washing tub during the dehydration phase; During a time window in which the speed of the washing drum is increased to a preset first speed threshold, continuously predicting the distribution state of the clothes in the washing drum after the washing drum is in a stable state based on the real-time change data of the clothes weight and the real-time change data of the eccentricity; and The operation of the dehydration stage is controlled according to the predicted laundry distribution state.

2. The control method of the clothes processing device according to claim 1, characterized in that: The step of collecting real-time weight change data of the laundry in the washing tub during the dehydration stage comprises: collecting at least one of the power change data of the motor in the dehydration stage, the speed increase data of the washing tub, and the speed decrease data of the washing tub in a non-powered state; and At least one of the power change data, the speed increase data and the speed decrease data is input into a pre-trained clothing weight change prediction model for processing to obtain the real-time clothing weight change data.

3. The control method of the clothes processing device according to claim 2, characterized in that: The clothing weight change prediction model adopts a time series prediction model.

4. The control method of the clothes processing device according to claim 1, characterized in that: The step of continuously predicting the distribution state of the clothes in the washing tub after the washing tub is in a stable state based on the real-time change data of the clothes weight and the real-time change data of the eccentricity also includes: The real-time change data of the clothing weight and the real-time change data of the eccentricity are input into a pre-trained clothing distribution prediction model for processing to obtain the clothing distribution state.

5. The control method of the clothes processing device according to claim 4, characterized in that: The clothing distribution prediction model adopts a multi-classification model.

6. The control method of a clothes processing device according to any one of claims 1 to 5, characterized in that: The step of controlling the operation of the dehydration stage according to the predicted laundry distribution state comprises: The clothes in the washing tub are distributed in a first preset area in the washing tub according to the predicted clothes distribution state, and a deviation correction instruction is issued.

7. The control method of a clothes processing device according to any one of claims 1 to 5, characterized in that: The step of controlling the operation of the dehydration stage according to the predicted laundry distribution state comprises: The clothes in the washing drum are distributed in a second preset area in the washing drum according to the predicted clothes distribution state, and the washing drum is controlled to increase the rotation speed.

8. The control method of the clothes processing device according to claim 7, characterized in that: In the process of controlling the washing drum to increase the rotation speed, the control method further includes: In a time window when the speed of the washing drum is increased to a preset second speed threshold, determining the vibration amount of the washing drum based on the real-time change data of the laundry weight, the real-time change data of the eccentricity, and the laundry distribution state; In response to determining that the vibration amount of the washing tub exceeds a preset threshold, controlling the washing tub to slow down to a state below the first rotation speed threshold; and Within the time window when the rotation speed of the washing drum is increased to the first rotation speed threshold again, the distribution state of the clothes in the washing drum after the washing drum is in a stable state is continuously predicted based on the real-time change data of the clothes weight and the real-time change data of the eccentricity, and the operation of the dehydration stage is controlled according to the predicted distribution state of the clothes.

9. An electronic device, characterized in that: include: processor; as well as A memory, communicatively connected to the processor; The memory stores a program executable by the processor, and when the program is executed by the processor, the processor can execute the control method of the clothing processing device according to any one of claims 1 to 8.

10. A readable storage medium, characterized in that: A computer program is stored on the readable storage medium, and when the computer program is executed by the processor, the control method of the clothing processing device according to any one of claims 1 to 8 is implemented.

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