Control method and device for washing machine

Abstract

The present invention provides a method and device for controlling a washing machine. The method comprises: acquiring voice information and extracting the voiceprint characteristics of a first user who issued the voice information; determining the group to which the first user belongs based on the voiceprint characteristics, and determining a target announcement volume for the washing machine based on the group; and broadcasting a response corresponding to the voice information at the target announcement volume. In the method of the present invention, the washing machine determines the group to which the user currently interacting with the washing machine belongs, and then uses the group to determine the volume of the washing machine's announcement. This allows the washing machine to broadcast at a volume suitable for the current user, thereby increasing the flexibility of the washing machine's volume control.

Description

Technical Field

[0001] The present invention relates to washing machine technology, and in particular to a control method and device for a washing machine. Background Art

[0002] As the quality of life continues to improve, people's requirements for the intelligence of washing machines are getting higher and higher.

[0003] Washing machines are equipped with voice modules, allowing users to interact with them through voice. However, voice interaction often presents a challenge: families with children, middle-aged parents, and elderly individuals have different sensitivity to sound, meaning different groups of users respond differently to the volume of the washing machine's announcements.

[0004] Current voice-activated washing machines lack automatic volume control, creating significant inconvenience for users. For example, after an elderly family member finishes using the washing machine, the volume remains at a high decibel level. The next time a middle-aged or child uses the machine, they may find it too loud and irritating. The volume control on the washing machine is also inflexible. Summary of the Invention

[0005] The present invention provides a control method and device for a washing machine of an air conditioner, which are used to solve the problem of inflexible volume control of the washing machine.

[0006] In one aspect, the present invention provides a method for controlling a washing machine, comprising:

[0007] Acquiring voice information and extracting a voiceprint feature of a first user who sends the voice information;

[0008] determining the group to which the first user belongs based on the voiceprint feature, and determining a target announcement volume for the washing machine based on the group;

[0009] The answer information corresponding to the voice information is broadcast according to the target broadcast volume.

[0010] In one embodiment, the step of determining the group to which the first user belongs based on the voiceprint feature includes:

[0011] Determining the similarity between the voiceprint feature and each preset voiceprint feature in a database;

[0012] The group to which the first user belongs is determined based on user information associated with the preset voiceprint feature corresponding to the maximum similarity, wherein the group includes the elderly, children, and middle-aged people.

[0013] In one embodiment, the step of determining the target announcement volume of the washing machine according to the group includes:

[0014] Get the volume corresponding to the group;

[0015] The volume corresponding to the group is determined as the target broadcast volume of the washing machine.

[0016] In one embodiment, the volume corresponding to the group is determined according to the broadcast volume set by each second user belonging to the group for the washing machine, or the volume corresponding to the group is the broadcast volume set by the first user on the washing machine.

[0017] In one embodiment, after the step of extracting the voiceprint feature of the first user who sent the voice message, the method further includes:

[0018] determining a location where the voice information is sent;

[0019] Capturing an image of a first user located at the location to obtain a facial image of the first user;

[0020] When it is determined that the washing machine stores the voiceprint feature of the first user according to the facial image, the group to which the first user belongs is determined according to the voiceprint feature.

[0021] In one embodiment, after the step of capturing an image of the location to obtain the facial image of the first user, the method further includes:

[0022] When it is determined that the washing machine does not store the voiceprint feature of the first user according to the facial image, outputting a prompt message, wherein the prompt message is used to prompt the first user to set the broadcast volume and the group to which the first user belongs;

[0023] The broadcast volume set by the first user, the group, the facial image and the voiceprint feature are associated and saved, and the answer information corresponding to the voice information is broadcast according to the set broadcast volume.

[0024] In another aspect, the present invention further provides a washing machine comprising:

[0025] an acquisition module, configured to acquire voice information and extract a voiceprint feature of a first user who sends the voice information;

[0026] a determination module, configured to determine the group to which the first user belongs based on the voiceprint feature, and determine a target announcement volume for the washing machine based on the group;

[0027] The broadcast module is used to broadcast the answer information corresponding to the voice information according to the target broadcast volume.

[0028] On the other hand, the present invention also provides a washing machine, comprising: a memory and a processor;

[0029] The memory stores computer-executable instructions;

[0030] The processor executes the computer-executable instructions stored in the memory, so that the processor performs the control method of the washing machine as described above.

[0031] On the other hand, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the control method of the washing machine as described above.

[0032] On the other hand, the present invention further provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the control method of the washing machine as described above is implemented.

[0033] The present invention provides a washing machine control method and device. The washing machine receives voice information and extracts the voiceprint characteristics of the first user who sent the voice information. Based on the voiceprint characteristics, the washing machine determines the group to which the first user belongs. Based on the group, the washing machine determines the target volume for voice announcements, thereby broadcasting the corresponding response information at the target volume. In this invention, the washing machine determines the group to which the user currently interacting with the washing machine belongs and then uses the group to determine the volume of the washing machine's announcements. This allows the washing machine to broadcast voice announcements at a volume suitable for the current user, thereby increasing the flexibility of the washing machine's volume control. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0035] Figure 1 This is a system architecture diagram of a washing machine control method implemented by the present invention;

[0036] Figure 2 1 is a flow chart of a first embodiment of a control method for a washing machine according to the present invention;

[0037] Figure 3 This is a detailed flowchart of step S20 in the second embodiment of the control method for a washing machine of the present invention;

[0038] Figure 4 1 is a flow chart of a third embodiment of a control method for a washing machine according to the present invention;

[0039] Figure 5 This is a schematic diagram of the functional modules of the washing machine of the present invention;

[0040] Figure 6 Schematic diagram of the hardware structure of the washing machine of the present invention.

[0041] The above drawings illustrate specific embodiments of the present disclosure, which will be described in more detail below. These drawings and textual descriptions are not intended to limit the scope of the present disclosure in any way, but rather to illustrate the concepts of the present disclosure to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0042] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

[0043] The present invention provides a control method for a washing machine, which can be Figure 1 The system architecture diagram shown in the figure is implemented. Figure 1 As shown, washing machine 100 and user 200 can interact with each other through voice (dashed lines indicate the voice interaction between the two). After receiving user 200's voice information, washing machine 100 extracts voiceprint features from the voice information and identifies the group to which user 200 belongs (elderly, children, and middle-aged people) based on the voiceprint features. The corresponding response to the voice information is then announced at a volume corresponding to the group. The voice information can be a voice command. For example, if the voice command is "dry clean," "spin," or "rinse," the corresponding response to the voice information is information about the progress of the washing machine 100 executing the voice command. This progress information can be announced later, such as "dry clean completed," "spin completed," or "rinse completed." The voice information can also be a question posed to the washing machine. For example, the voice information can be the current progress of the washing machine's laundry. The corresponding response to the voice information can be announced immediately, such as "The washing machine is spinning. Spin will be finished in 2 minutes and will enter the rinse cycle."

[0044] The following describes in detail the technical solutions of the present invention and how the technical solutions of this application solve the above-mentioned technical problems using specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. The following embodiments of the present invention are described in conjunction with the accompanying drawings.

[0045] Reference Figure 2 , Figure 2 This is a first embodiment of a method for controlling a washing machine according to the present invention. The method for controlling a washing machine includes the following steps:

[0046] Step S10: Acquire voice information and extract the voiceprint features of the first user who sends the voice information.

[0047] In this embodiment, the executing entity is a washing machine. The washing machine is equipped with a sound collection module that collects user voice information. The user corresponding to the most recently collected voice information is defined as the first user. The voice information can be a voice command issued by the first user to the washing machine, or a question posed by the first user to the washing machine. After the washing machine obtains the voice information through the sound collection module, it extracts the voiceprint features of the first user who sent the voice information.

[0048] Specifically, the washing machine extracts the first user's voiceprint features using Mel-Frequency Ceptral Coefficients (MFCCs). Voiceprint features are a two-dimensional array. The washing machine first frames the voice information to obtain each frame of voice signal. It then uses the periodogram method to estimate the power spectrum of the triaged voice information, thereby obtaining the power spectrum. The washing machine filters the power spectrum using a Mel filter bank and calculates the energy in each filter. The washing machine calculates the logarithm of the energy of each filter to obtain the first data. The values ​​are discrete cosine transformed to obtain the second data (DCT). The washing machine retains the 2nd to 13th coefficients of the DCT of the second data and removes the remaining coefficients. The energy of each frame of voice signal (multiple frames obtained by triage processing) is used as a feature. This feature is then added to the 12 DCT coefficients (coefficients 2-13) to obtain a 13-dimensional feature vector. Finally, the Delta (Kronecker function) and Delta-Delta of the 13-dimensional feature vector are calculated to obtain a 39-dimensional MFCC feature (voiceprint feature).

[0049] Step S20: determining the group to which the first user belongs based on the voiceprint feature, and determining the target broadcast volume of the washing machine based on the group.

[0050] The washing machine stores the voiceprint features of each family member. The stored voiceprint features are defined as preset voiceprint features, and the preset voiceprint features are associated with user information. That is, when the washing machine extracts the voiceprint features of family members, it also needs to obtain the members' user information. The user information includes at least the user's identity and age. After extracting the voiceprint features of the first user, the washing machine calculates the similarity between the extracted voiceprint features and each preset voiceprint feature in the database to obtain multiple similarities. The similarity calculation method can be the cosine similarity calculation method. The washing machine determines the maximum similarity from multiple washing machines, and then obtains the user information associated with the preset voiceprint feature corresponding to the maximum similarity, thereby determining the group to which the first user belongs based on the user information. The groups include the elderly, children, and middle-aged people, that is, the groups are divided according to age.

[0051] In addition, if the maximum similarity is less than a preset threshold, it indicates that the user information of the first user is not stored in the washing machine, and the washing machine can send the voiceprint feature to the server. The server calculates the similarity between the voiceprint feature and the stored preset voiceprint features, and then obtains the preset voiceprint features with the highest ranking (the preset voiceprint features are sorted in descending order of similarity). Each preset voiceprint feature obtained is associated with user information on the server, so the group of users to which each preset voiceprint feature belongs can be determined. If the groups to which most users belong are the same group, then this group can be determined as the group to which the first user belongs, and the server then feeds back the group to which the first user belongs to the washing machine.

[0052] The washing machine can store the volume corresponding to each group, and then determine the target volume for the announcement based on the corresponding volume of each group. For example, the washing machine may store a higher volume for the elderly and a lower volume for children, while the volume for middle-aged people is somewhere in between.

[0053] Step S30: broadcasting the answer information corresponding to the voice information at the target broadcast volume.

[0054] The washing machine obtains the response information corresponding to the voice information. Specifically, the voice information can be a voice command. For example, if the voice command is dry cleaning, spin, or rinse, the response information corresponding to the voice information is the progress information of the washing machine 100 executing the voice command. The progress information can be broadcasted with a delay, such as the progress information such as dry cleaning completed, spin completed, or rinse completed. The voice information can also be a question posed to the washing machine. For example, the voice information can be the current washing progress of the washing machine. The response information corresponding to the voice information can be broadcasted immediately, such as the response information "The washing machine is spinning. Spinning will be completed in 2 minutes and then enter rinsing."

[0055] After the washing machine determines the answer information, it can broadcast the answer information according to the target broadcast volume.

[0056] In the technical solution provided by this embodiment, the washing machine acquires voice information and extracts the voiceprint characteristics of the first user who sent the voice information. Based on the voiceprint characteristics, the washing machine determines the group to which the first user belongs. Based on the group, the washing machine determines the target volume for voice announcements, thereby broadcasting the corresponding response information at the target volume. In this invention, the washing machine determines the group to which the user currently interacting with the washing machine belongs and then uses the group to determine the volume of the washing machine's announcements. This allows the washing machine to broadcast voice announcements at a volume suitable for the current user, improving the flexibility of the washing machine's volume control.

[0057] Reference Figure 3 , Figure 3 This is a second embodiment of the control method for a washing machine according to the present invention. Based on the first embodiment, step S20 includes:

[0058] Step S21, obtaining the volume corresponding to the group.

[0059] Step S22: The volume corresponding to the group is determined as the target broadcast volume of the washing machine.

[0060] In this embodiment, after determining the group to which the first user belongs, the washing machine obtains the volume corresponding to the group, and then determines the volume corresponding to the group as the target broadcast volume of the washing machine.

[0061] It should be noted that the volume corresponding to the group is determined based on the broadcast volume set for the washing machine by each second user belonging to the group, or the volume corresponding to the group is the broadcast volume set by the first user on the washing machine. The volume corresponding to the group determined by the broadcast volume set by each second user on the washing machine is based on big data. For example, the group to which the first user belongs is middle-aged people. The server collects the broadcast volumes set for the washing machine by all users and classifies all users by age to obtain the broadcast volumes set by multiple second users who are middle-aged. The server then counts the number of broadcast volumes in the same volume range. The volume range with the largest number of broadcast volumes is the broadcast volume that middle-aged people are accustomed to setting. Any broadcast volume in this volume range is the volume corresponding to middle-aged people.

[0062] In addition, the group may be determined based on the members of the current family, and therefore, the volume corresponding to the group may be the announcement volume set on the washing machine by the first user belonging to the group.

[0063] In addition, family members can input the sleep time period on the washing machine. When determining the volume corresponding to the group, the washing machine determines the time period at the current time point and judges whether the time period is in the sleep time period. If the time period is not in the sleep time period, the volume corresponding to the group is determined as the target broadcast volume; if the time period is in the sleep time period, it is necessary to determine the group to which the user associated with the sleep time period belongs, and then adjust the volume corresponding to the group to which the first user belongs based on the group to which the user associated with the sleep time period belongs. For example, if the user group associated with the sleep time period is children, and the first user group is the elderly, the volume corresponding to the elderly needs to be lowered; if the first user group is middle-aged, the volume does not need to be adjusted because the volume corresponding to middle-aged people is not very loud, and children have better sleep quality and are not easily woken up, so there is no need to adjust the volume. If the user group associated with the sleep time period is the elderly, the volume corresponding to the group needs to be adjusted to the minimum to avoid waking up the elderly who are easy to wake up.

[0064] In the technical solution provided in this embodiment, the washing machine obtains the volume corresponding to the group, and accurately determines the target broadcast volume of the washing machine according to the volume corresponding to the group.

[0065] Reference Figure 4 , Figure 4 This is a third embodiment of the control method for a washing machine according to the present invention. Based on the first or second embodiment, after step S10, the method further includes:

[0066] Step S40: determining the location where the voice message is sent.

[0067] Step S50: Capture an image of the first user at the location to obtain a facial image of the first user.

[0068] Step S60: When it is determined based on the facial image that the washing machine stores the voiceprint features of the first user, the group to which the first user belongs is determined based on the voiceprint features, and the target announcement volume of the washing machine is determined based on the group.

[0069] Step S70: When it is determined based on the facial image that the washing machine does not store the voiceprint feature of the first user, a prompt message is output, where the prompt message is used to prompt the first user to set the announcement volume and the group to which the first user belongs.

[0070] Step S80: The broadcast volume, group, face image, and voiceprint feature set by the first user are associated and saved, and the answer information corresponding to the voice information is broadcast according to the set broadcast volume.

[0071] In this embodiment, the washing machine is provided with an image acquisition module. After receiving the voice information, the washing machine can determine the location where the voice information is emitted through the sound acquisition module. Specifically, the sound acquisition module can be a microphone matrix. The washing machine can locate the location where the voice information is emitted based on the multiple microphones in the microphone matrix. The washing machine then controls the image acquisition module to capture an image of the first user at the first position, thereby obtaining a facial image of the first user. The washing machine stores facial images of family members, and the device can compare the acquired facial images with the stored facial images to determine whether the first user is a family member. While the family members are storing the facial images, the washing machine will obtain the voiceprint features of the family members and associate the voiceprint features with the stored facial images.

[0072] When the washing machine determines that the first user is a family member based on the facial image, that is, the voiceprint feature of the first user is stored in the washing machine, the washing machine executes steps S20 to S30.

[0073] If the washing machine determines based on the facial image that it does not have the first user's voiceprint stored, meaning that the first user is not the one who recorded the facial image and voiceprint, it will output a prompt. This prompt prompts the first user to set the washing machine's announcement volume and the group to which the first user belongs. The washing machine associates and stores the announcement volume, group, facial image, and voiceprint settings set by the first user, and plays the corresponding response message at the set announcement volume.

[0074] In the technical solution provided in this embodiment, the washing machine determines the location where the voice information is sent, and captures an image of the first user at that location to obtain a facial image. When it is determined based on the facial image that the washing machine has stored the voiceprint features of the first user, the first user is a user who has already recorded the voiceprint features, and the voiceprint features of the first user need to be recorded again. If the washing machine does not store the voiceprint features of the first user, a prompt message is required to prompt the first user to set the broadcast volume and the group to which the first user belongs, and then the broadcast volume, group, extracted voiceprint features and facial features are saved, and the washing machine broadcasts the answer information according to the set volume.

[0075] The present invention also provides a washing machine, referring to Figure 5 , the washing machine 500 includes:

[0076] An acquisition module 501 is configured to acquire voice information and extract a voiceprint feature of a first user who sends the voice information;

[0077] A determination module 502 is configured to determine the group to which the first user belongs based on the voiceprint feature, and determine a target announcement volume for the washing machine based on the group;

[0078] The broadcast module 503 is used to broadcast the answer information corresponding to the voice information according to the target broadcast volume.

[0079] In one embodiment, the washing machine 500 includes:

[0080] Determination module 502, for determining the similarity between the voiceprint feature and each preset voiceprint feature in the database;

[0081] The determination module 502 is configured to determine the group to which the first user belongs based on the user information associated with the preset voiceprint feature corresponding to the maximum similarity, wherein the group includes the elderly, children, and middle-aged people.

[0082] In one embodiment, the washing machine 500 includes:

[0083] An acquisition module 501 is used to acquire the volume corresponding to a group;

[0084] The determination module 502 is configured to determine the volume corresponding to the group as the target announcement volume of the washing machine.

[0085] In one embodiment, the washing machine 500 includes:

[0086] A determination module 502 is used to determine the location where the voice information is sent;

[0087] an acquisition module, configured to acquire an image of a first user at a location to obtain a facial image of the first user;

[0088] The determination module 502 is configured to determine the group to which the first user belongs based on the voiceprint feature when it is determined based on the facial image that the washing machine stores the voiceprint feature of the first user.

[0089] In one embodiment, the washing machine 500 includes:

[0090] an output module, configured to output a prompt message when it is determined based on the facial image that the washing machine does not store the voiceprint feature of the first user, the prompt message being used to prompt the first user to set the announcement volume and the group to which the first user belongs;

[0091] The saving module is used to associate and save the broadcast volume, group, facial image and voiceprint features set by the first user, and broadcast the answer information corresponding to the voice information according to the set broadcast volume.

[0092] Figure 6 The figure is a schematic diagram showing the hardware structure of a washing machine according to an exemplary embodiment.

[0093] The washing machine 600 may include: a processor 61, such as a CPU, a memory 62, and a transceiver 63. Those skilled in the art will appreciate that Figure 6 The structure shown in the figure does not limit the washing machine and may include more or fewer components than shown, or a combination of certain components, or a different arrangement of components. The memory 62 may be implemented by any type of volatile or non-volatile memory device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0094] The processor 61 can call the computer program stored in the memory 62 to complete all or part of the steps of the above-mentioned washing machine control method.

[0095] The transceiver 63 is used to receive information sent by an external device and send information to the external device.

[0096] A non-transitory computer-readable storage medium, when instructions in the storage medium are executed by a processor of a washing machine, enables the washing machine to execute the above-mentioned washing machine control method.

[0097] A computer program product includes a computer program. When the computer program is executed by a processor of a washing machine, the washing machine is enabled to execute the above-mentioned washing machine control method.

[0098] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. The present invention is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0099] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for controlling a washing machine, characterized in that: include: Acquiring voice information and extracting a voiceprint feature of a first user who sends the voice information; Determining a first group to which the first user belongs based on the voiceprint feature; wherein the group includes the elderly, children, and middle-aged people; Obtaining the volume corresponding to the first group, and determining whether the current time period is a sleep time period; If the current time period is a sleep time period, the second group of users associated with the sleep time period is determined, and the volume corresponding to the first group is adjusted based on the second group. If the second group consists of children and the first group consists of middle-aged people, the target volume of the washing machine is determined to be the volume corresponding to the first group. The answer information corresponding to the voice information is broadcast according to the target broadcast volume.

2. The control method of the washing machine according to claim 1, characterized in that: The step of determining the first group to which the first user belongs based on the voiceprint feature includes: Determining the similarity between the voiceprint feature and each preset voiceprint feature in a database; The first group to which the first user belongs is determined based on user information associated with the preset voiceprint feature corresponding to the maximum similarity.

3. The control method of the washing machine according to claim 1, characterized in that: The volume corresponding to the first group is determined according to the broadcast volume set by each second user belonging to the first group for the washing machine, or the volume corresponding to the first group is the broadcast volume set by the first user on the washing machine.

4. The control method of a washing machine according to any one of claims 1 to 3, characterized in that: After the step of extracting the voiceprint feature of the first user who sent the voice information, the method further includes: determining a location where the voice information is sent; Capturing an image of a first user located at the location to obtain a facial image of the first user; When it is determined that the washing machine stores the voiceprint feature of the first user according to the facial image, the first group to which the first user belongs is determined according to the voiceprint feature.

5. The control method of the washing machine according to claim 4, characterized in that: After the step of collecting an image of the first user at the location to obtain the facial image of the first user, the method further includes: When it is determined that the washing machine does not store the voiceprint feature of the first user according to the facial image, outputting a prompt message, wherein the prompt message is used to prompt the first user to set the broadcast volume and the first group to which the first user belongs; The broadcast volume set by the first user, the first group, the facial image, and the voiceprint feature are associated and saved, and the answer information corresponding to the voice information is broadcast according to the set broadcast volume.

6. A washing machine, characterized in that: include: an acquisition module, configured to acquire voice information and extract a voiceprint feature of a first user who sends the voice information; a determination module, configured to determine a first group to which the first user belongs based on the voiceprint feature; wherein the group includes the elderly, children, and middle-aged people; Obtaining the volume corresponding to the first group, and determining whether the current time period is a sleep time period; If the current time period is a sleep time period, the second group of users associated with the sleep time period is determined, and the volume corresponding to the first group is adjusted based on the second group. If the second group consists of children and the first group consists of middle-aged people, the target volume of the washing machine is determined to be the volume corresponding to the first group. The broadcast module is used to broadcast the answer information corresponding to the voice information according to the target broadcast volume.

7. A washing machine, characterized in that: include: memory and processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the processor performs the control method of the washing machine according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the control method for the washing machine according to any one of claims 1 to 5.

9. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the control method of the washing machine according to any one of claims 1 to 5 is implemented.

Images