A washing machine and water level control method

Abstract

The present invention discloses a washing machine and a water level control method. The washing machine includes a washing tub, a water inlet and outlet device, a weight sensor, an infrared camera, a communication module and a controller. The controller is configured to: when a washing instruction sent by a user is detected, determine an initial water inlet volume according to the weight of clothes in the washing tub, and control the water inlet and outlet device to fill water into the washing tub until the initial water inlet volume is reached; obtain a water level status image of the washing tub based on the infrared camera, and send the water level status image to the cloud server; control the water level of the washing tub according to a water level detection result returned from the cloud server; wherein the water level detection result is determined by the cloud server after identifying the water level status image according to a preset convolutional neural network model, so that the water level control can be automatically and accurately performed, thereby ensuring the washing effect and improving the user experience.

Description

Technical Field

[0001] The present application relates to the technical field of washing machines, and more specifically, to a washing machine and a water level control method. Background Art

[0002] With the advancement of science and technology, people's lives are becoming more and more intelligent and automated. Washing machines can replace manual washing of clothes and have become an indispensable tool in daily life.

[0003] Currently, washing machines basically do not have the function of automatically determining the internal water level. Some washing machines can automatically recommend a water level based on the weight of the clothes, but there is no regular pattern in the relationship between weight and volume of clothes. Therefore, many users report that the recommended water level is inaccurate. Generally, the water level is set manually by the user, which affects the user experience.

[0004] Therefore, how to provide a washing machine that can automatically and accurately control the water level is a technical problem that needs to be solved. Summary of the invention

[0005] The present invention provides a washing machine, which is used to solve the technical problem that the water level cannot be accurately controlled in an automatic state in the prior art. The washing machine comprises:

[0006] Washing tub;

[0007] An inlet and outlet device for controlling the inlet and outlet of water into and out of the washing tub;

[0008] A weight sensor, for detecting the weight of the clothes in the washing tub;

[0009] An infrared camera, for capturing an image of the interior of the washing tub;

[0010] A communication module, establishing a communication connection with a cloud server;

[0011] The controller is configured as:

[0012] When a washing instruction sent by a user is detected, an initial water inflow volume is determined according to the weight of the clothes in the washing tub, and the water inflow and water discharge device is controlled to flow water into the washing tub until the initial water inflow volume is reached;

[0013] Acquire a water level status image of the washing tub based on the infrared camera, and send the water level status image to the cloud server;

[0014] controlling the water level of the washing tub according to the water level detection result returned from the cloud server;

[0015] Among them, the water level detection result is determined by the cloud server after identifying the water level status image according to a preset convolutional neural network model.

[0016] In some embodiments of the present application, the water level detection result includes a qualified water level, a low water level, and a high water level, and the controller is specifically configured as follows:

[0017] If the water level detection result is that the water level is qualified, controlling the washing tub to perform a washing operation;

[0018] If the water level detection result is that the water level is low, the water inlet and outlet device is controlled to inlet water, and a new water level status image is acquired and uploaded to the cloud server at a preset sampling frequency until the water level detection result is that the water level is qualified;

[0019] If the water level detection result shows that the water level is too high, the water inlet and outlet device is controlled to drain water, and a new water level status image is acquired and uploaded to the cloud server at the preset sampling frequency until the water level detection result shows that the water level is qualified.

[0020] In some embodiments of the present application, the water level detection result is qualified when the difference between the water level height and the clothing height in the washing tub is less than a first distance, the water level detection result is low when the difference between the clothing height minus the water level height is greater than a second distance, the water level detection result is high when the difference between the water level height minus the clothing height is greater than the second distance, and the first distance is less than the second distance.

[0021] In some embodiments of the present application, it also includes:

[0022] An infrared photoelectric sensor, which determines the dirtiness of the water in the washing tub according to the transmittance of infrared rays in water;

[0023] The controller is also configured to:

[0024] After controlling the washing tub to perform a laundry operation, detecting the degree of dirtiness based on the photoelectric sensor;

[0025] If the dirtiness level is higher than a preset standard value, the water inlet and outlet device is controlled according to the dirtiness level.

[0026] In some embodiments of the present application, the controller is specifically configured as follows:

[0027] Determining the amount of supplementary water intake according to the degree of dirtiness and a preset corresponding relationship;

[0028] Control the water inlet and outlet device to inlet water according to the supplementary water inlet amount;

[0029] The preset corresponding relationship is the corresponding relationship between different dirtiness levels and different supplementary water intake amounts.

[0030] Accordingly, the present invention also provides a water level control method for a washing machine, the washing machine comprising a washing tub, a water inlet and outlet device, a weight sensor, an infrared camera and a communication module, the method comprising:

[0031] When a washing instruction sent by a user is detected, an initial water inflow volume is determined according to the weight of the clothes in the washing tub, and the water inflow and water discharge device is controlled to flow water into the washing tub until the initial water inflow volume is reached;

[0032] Acquire a water level status image of the washing tub based on the infrared camera, and send the water level status image to the cloud server;

[0033] controlling the water level of the washing tub according to the water level detection result returned from the cloud server;

[0034] Among them, the water level detection result is determined by the cloud server after identifying the water level status image according to a preset convolutional neural network model.

[0035] In some embodiments of the present application, the water level detection result includes a qualified water level, a low water level, and a high water level. The water level of the washing tub is controlled according to the water level detection result returned from the cloud server, specifically:

[0036] If the water level detection result is that the water level is qualified, controlling the washing tub to perform a washing operation;

[0037] If the water level detection result is that the water level is low, the water inlet and outlet device is controlled to inlet water, and a new water level status image is acquired and uploaded to the cloud server at a preset sampling frequency until the water level detection result is that the water level is qualified;

[0038] If the water level detection result shows that the water level is too high, the water inlet and outlet device is controlled to drain water, and a new water level status image is acquired and uploaded to the cloud server at the preset sampling frequency until the water level detection result shows that the water level is qualified.

[0039] In some embodiments of the present application, the water level detection result is qualified when the difference between the water level height and the clothing height in the washing tub is less than a first distance, the water level detection result is low when the difference between the clothing height minus the water level height is greater than a second distance, the water level detection result is high when the difference between the water level height minus the clothing height is greater than the second distance, and the first distance is less than the second distance.

[0040] In some embodiments of the present application, the washing machine further includes an infrared photoelectric sensor, and after controlling the washing tub to perform a washing operation, the method further includes:

[0041] Detecting the degree of dirtiness based on the photoelectric sensor;

[0042] If the dirtiness level is higher than a preset standard value, the water inlet and outlet device is controlled according to the dirtiness level.

[0043] In some embodiments of the present application, the water inlet and outlet device is controlled according to the degree of dirtiness, specifically:

[0044] Determining the amount of supplementary water intake according to the degree of dirtiness and a preset corresponding relationship;

[0045] Control the water inlet and outlet device to inlet water according to the supplementary water inlet amount;

[0046] The preset corresponding relationship is the corresponding relationship between different dirtiness levels and different supplementary water intake amounts.

[0047] By applying the above technical solution, the washing machine includes a washing tub, an inlet and outlet device, a weight sensor, an infrared camera, a communication module and a controller, and the controller is configured as follows: when a washing instruction sent by a user is detected, the initial water inlet volume is determined according to the weight of the clothes in the washing tub, and the inlet and outlet device is controlled to fill water into the washing tub until the initial water inlet volume is reached; a water level status image of the washing tub is obtained based on the infrared camera, and the water level status image is sent to the cloud server; the water level of the washing tub is controlled according to the water level detection result returned from the cloud server; wherein the water level detection result is determined by the cloud server after identifying the water level status image according to a preset convolutional neural network model, so that the water level control can be automatically and accurately performed, and the water level control is further performed according to the degree of dirtiness, thereby ensuring the washing effect and improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 A structural schematic diagram of a washing machine provided by an embodiment of the present invention is shown;

[0050] Figure 2 A schematic flow chart of a water level control method for a washing machine proposed in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0051] 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 described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0052] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0053] The present application embodiment provides a washing machine, such as Figure 1 As shown, including:

[0054] Washing tub 100;

[0055] The water inlet and outlet device 200 controls the water inlet and outlet of the washing tub 100;

[0056] A weight sensor 300 detects the weight of the clothes in the washing tub 100;

[0057] The infrared camera 400 captures the internal image of the washing tub 100;

[0058] Communication module 500, establishing a communication connection with a cloud server;

[0059] The controller 600 is configured to:

[0060] When a washing instruction sent by the user is detected, the initial water intake is determined according to the weight of the clothes in the washing tub 100, and the water intake and discharge device 200 is controlled to intake water into the washing tub 100 until the initial water intake is reached;

[0061] Acquire a water level status image of the washing tub 100 based on the infrared camera 400, and send the water level status image to the cloud server;

[0062] The water level of the washing tub 100 is controlled according to the water level detection result returned from the cloud server.

[0063] In this embodiment, the washing tub 100 is arranged on the inner side of the outer tub, and clothes can be stored for washing. The washing machine can control the water inlet and outlet of the washing tub 100 through the water inlet and outlet device 200; the washing machine also includes: a casing, which is equipped with a door for putting clothes in, and the door can be arranged on the upper part or the front part of the casing; an outer tub, which is arranged inside the casing, and washing water can be stored inside the outer tub; a driving module, which is arranged in the outer tub, and washes clothes by rotating the washing tub 100.

[0064] The washing machine also detects the weight of the clothes in the washing tub 100 through the weight sensor 300. An infrared camera 400 is also provided to capture the internal image of the washing tub 100 in the dark. The communication module 500 may be a device component having functions such as communication and data processing, and may be a WiFi module, a 2 / 3 / 4 / 5G module, or an NB-IoT module.

[0065] The user can send a washing instruction to the controller 600 through the function button on the washing machine or the user terminal. After receiving the washing instruction, the controller 600 first determines the weight of the clothes in the washing tub 100 according to the weight sensor 300, and can determine the initial water intake according to the correspondence between the weight of the clothes and different water intake amounts, and then controls the water intake and discharge device 200 to intake water into the washing tub 100 according to the initial water intake amount. Since the initial water intake amount may not match the volume of the clothes, after reaching the initial water intake amount, the water level status image of the washing tub 100 is further obtained through the infrared camera 400, and the water level status image is sent to the cloud server through the communication module 500. A preset convolutional neural network model is deployed on the cloud server. The cloud server recognizes the water level status image and determines the water level detection result through the preset convolutional neural network model, and sends the water level detection result to the controller 600. The controller 600 can control the water level of the washing tub 100 according to the water level detection result.

[0066] The preset convolutional neural network model is obtained by putting a data set consisting of standard water level images into a deep learning framework and training the model through a convolutional neural network, wherein the standard water level image is an image of water just overflowing the clothes in the washing tub 100. The specific process of training the model through a convolutional neural network is obvious to those skilled in the art and will not be described in detail here.

[0067] In order to reliably control the water level, in some embodiments of the present application, the water level detection results include qualified water level, low water level, and high water level. The controller 600 is specifically configured as follows:

[0068] If the water level detection result is that the water level is qualified, the washing tub 100 is controlled to perform a washing operation;

[0069] If the water level detection result is that the water level is low, the water inlet and outlet device 200 is controlled to inlet water, and a new water level status image is obtained and uploaded to the cloud server at a preset sampling frequency until the water level detection result is that the water level is qualified;

[0070] If the water level detection result shows that the water level is too high, the water inlet and outlet device 200 is controlled to drain water, and a new water level status image is obtained and uploaded to the cloud server at a preset sampling frequency until the water level detection result shows that the water level is qualified.

[0071] In this embodiment, the water level detection result includes qualified water level, low water level, and high water level. If the water level detection result is that the water level is qualified, there is no need to fill or drain water, and the washing tub 100 is driven to rotate to perform the washing operation; if the water level detection result is that the water level is low, it means that the water volume is insufficient, which will affect the washing effect, and water needs to be added. The water inlet and outlet device 200 is controlled to fill with water, and a new water level status image is obtained through the infrared camera 400 at a preset sampling frequency, and uploaded to the cloud server for identification until the water level is qualified; if the water level detection result is that the water level is high, it means that the water volume is too large, which will increase power consumption and affect the washing effect, and drainage is needed. The water is drained through the water inlet and outlet device 200, and a new water level status image is obtained through the infrared camera 400 at a preset sampling frequency, and uploaded to the cloud server for identification until the water level is qualified.

[0072] Optionally, the preset sampling frequency may be 3 seconds.

[0073] In order to reliably determine the water level detection result, in some embodiments of the present application, the water level is qualified when the difference between the water level height and the clothing height in the washing tub 100 is less than the first distance, the water level is low when the difference between the clothing height minus the water level height is greater than the second distance, the water level is high when the difference between the water level height minus the clothing height is greater than the second distance, and the first distance is less than the second distance.

[0074] Optionally, the first distance may be 1 cm, and the second distance may be 2 cm.

[0075] In order to further improve the washing effect, in some embodiments of the present application, the washing machine further includes:

[0076] An infrared photoelectric sensor determines the dirtiness of the water in the washing tub 100 according to the transmittance of infrared rays in water;

[0077] The controller 600 is also configured to:

[0078] After controlling the washing tub 100 to perform a laundry operation, the degree of dirtiness is detected based on a photoelectric sensor;

[0079] If the dirtiness is higher than a preset standard value, water inlet and outlet device 200 is controlled according to the dirtiness.

[0080] In this embodiment, the infrared photoelectric sensor can emit infrared rays into the water, and determine the dirtiness of the water in the washing tub 100 according to the transmittance of the infrared rays in the water. After the washing tub 100 is controlled to perform a laundry operation, the infrared photoelectric sensor is activated to detect the dirtiness. If the dirtiness is higher than a preset standard value, the water inlet and outlet device 200 is controlled to inlet water according to the dirtiness.

[0081] It is understandable that if the dirtiness is not higher than a preset standard value, no water will be introduced into the washing tub.

[0082] In order to improve the washing effect, in some embodiments of the present application, the controller 600 is specifically configured as follows:

[0083] Determine the amount of supplementary water intake according to the degree of dirtiness and the preset corresponding relationship;

[0084] The water inlet and outlet device 200 is controlled to take in water according to the supplementary water intake amount.

[0085] In this embodiment, a preset corresponding relationship is established in advance according to different dirtiness levels and different supplementary water inflow amounts, the supplementary water inflow amount is determined according to the dirtiness level and the preset corresponding relationship, and the water inlet and outlet device 200 is controlled to inflow water according to the supplementary water inflow amount. For example, the preset standard value is 1, when the dirtiness level is 1.3, the supplementary water inflow amount is 300 ml, that is, 300 ml of clean water is added; when the dirtiness level is 2, the supplementary water inflow amount is 1 L, that is, 1 L of clean water is added.

[0086] By applying the above technical solution, the washing machine includes a washing tub, an inlet and outlet device, a weight sensor, an infrared camera, a communication module and a controller, and the controller is configured as follows: when a washing instruction sent by a user is detected, the initial water inlet volume is determined according to the weight of the clothes in the washing tub, and the inlet and outlet device is controlled to fill water into the washing tub until the initial water inlet volume is reached; a water level status image of the washing tub is obtained based on the infrared camera, and the water level status image is sent to the cloud server; the water level of the washing tub is controlled according to the water level detection result returned from the cloud server; wherein the water level detection result is determined by the cloud server after identifying the water level status image according to a preset convolutional neural network model, so that the water level control can be automatically and accurately performed, and the water level control is further performed according to the degree of dirtiness, thereby ensuring the washing effect and improving the user experience.

[0087] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0088] The embodiment of the present application provides a water level control method for a washing machine, which is applied to the washing machine as described above, and includes the following steps:

[0089] Step 1: When the user puts the clothes in and clicks to start washing, the washing machine first sets an initial water intake according to the weight of the clothes. For example, the initial water intake for 1-2kg clothes is 3L; the initial water intake for 2-3kg clothes is 4L; the initial water intake for 4-6kg clothes is 5L. The initial water intake can be as low as possible to avoid waste caused by excessive water level and then draining water out.

[0090] Step 2: After reaching the above-mentioned initial water inflow, the clothes and water level status inside the washing tub are photographed by an infrared camera, and then the water level status image is sent to the cloud server. The cloud server presets a convolutional neural network model to recognize the water level status image and return the water level detection result.

[0091] 1) If the water level test result is qualified, proceed to the subsequent step 3;

[0092] 2) If the water level detection result shows that the water level is low, continue to add water and monitor every 3 seconds (take a photo and send the new water level status image to the cloud server) until the water level is qualified;

[0093] 3) If the water level detection result shows that the water level is too high, the water will be drained automatically and monitored every 3 seconds (taking a photo and sending the new water level status image to the cloud server) until the water level is qualified.

[0094] Step 3: After the washing machine receives the message from the cloud server that the water level test result is qualified, it starts to drive the washing tub to wash clothes. During the washing process, the infrared photoelectric sensor is turned on to monitor the degree of dirtiness. If the degree of dirtiness exceeds the standard value, the washing machine automatically adds a certain amount of water. For example, the preset standard value of the degree of dirtiness is 1. When the degree of dirtiness is 1.3, 300 ml of clean water is added; when the degree of dirtiness is 2, 1 L of clean water is added.

[0095] The present application also proposes a water level control method for a washing machine, wherein the washing machine includes a washing tub, a water inlet and outlet device, a weight sensor, an infrared camera, and a communication module. Figure 2 As shown, the method comprises the following steps:

[0096] Step S101, when a washing instruction sent by a user is detected, an initial water inflow volume is determined according to the weight of the clothes in the washing tub, and the water inflow and water discharge device is controlled to flow water into the washing tub until the initial water inflow volume is reached;

[0097] Step S102, obtaining a water level status image of the washing tub based on the infrared camera, and sending the water level status image to the cloud server;

[0098] Step S103, controlling the water level of the washing tub according to the water level detection result returned from the cloud server;

[0099] Among them, the water level detection result is determined by the cloud server after identifying the water level status image according to a preset convolutional neural network model.

[0100] In order to reliably control the water level, in some embodiments of the present application, the water level detection result includes a qualified water level, a low water level, and a high water level. The water level of the washing tub is controlled according to the water level detection result returned from the cloud server, specifically:

[0101] If the water level detection result is that the water level is qualified, controlling the washing tub to perform a washing operation;

[0102] If the water level detection result is that the water level is low, the water inlet and outlet device is controlled to inlet water, and a new water level status image is acquired and uploaded to the cloud server at a preset sampling frequency until the water level detection result is that the water level is qualified;

[0103] If the water level detection result shows that the water level is too high, the water inlet and outlet device is controlled to drain water, and a new water level status image is acquired and uploaded to the cloud server at the preset sampling frequency until the water level detection result shows that the water level is qualified.

[0104] In order to reliably determine the water level detection result, in some embodiments of the present application, the water level is qualified when the difference between the water level height and the clothing height in the washing tub is less than the first distance, the water level is low when the difference between the clothing height minus the water level height is greater than the second distance, the water level is high when the difference between the water level height minus the clothing height is greater than the second distance, and the first distance is less than the second distance.

[0105] In order to further improve the washing effect, in some embodiments of the present application, the washing machine further includes an infrared photoelectric sensor, and after controlling the washing tub to perform a washing operation, the method further includes:

[0106] Detecting the degree of dirtiness based on the photoelectric sensor;

[0107] If the dirtiness level is higher than a preset standard value, the water inlet and outlet device is controlled according to the dirtiness level.

[0108] In order to improve the washing effect, in some embodiments of the present application, the water inlet and outlet device is controlled according to the degree of dirtiness, specifically:

[0109] Determining the amount of supplementary water intake according to the degree of dirtiness and a preset corresponding relationship;

[0110] Control the water inlet and outlet device to inlet water according to the supplementary water inlet amount;

[0111] The preset corresponding relationship is the corresponding relationship between different dirtiness levels and different supplementary water intake amounts.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A washing machine, It is characterized in that include: Washing tub; An inlet and outlet device for controlling the inlet and outlet of water into and out of the washing tub; A weight sensor, for detecting the weight of the clothes in the washing tub; An infrared camera, for capturing an image of the interior of the washing tub; The communication module and the cloud server establish a communication connection with the cloud server; The controller is configured as: When a washing instruction sent by a user is detected, an initial water inflow volume is determined according to the weight of the clothes in the washing tub, and the water inflow and water discharge device is controlled to flow water into the washing tub until the initial water inflow volume is reached; Acquire a water level status image of the washing tub based on the infrared camera, and send the water level status image to the cloud server; controlling the water level of the washing tub according to the water level detection result returned from the cloud server; Wherein, the water level detection result is determined by the cloud server after identifying the water level state image according to a preset convolutional neural network model; Also includes: An infrared photoelectric sensor, which determines the dirtiness of the water in the washing tub according to the transmittance of infrared rays in water; The controller is also configured to: After controlling the washing tub to perform a laundry operation, detecting a degree of dirtiness based on the photoelectric sensor; If the dirtiness is higher than a preset standard value, controlling the water inlet and outlet device to flow in according to the dirtiness; The controller is specifically configured as follows: Determining the amount of supplementary water intake according to the degree of dirtiness and a preset corresponding relationship; Control the water inlet and outlet device to inlet water according to the supplementary water inlet amount; The preset corresponding relationship is the corresponding relationship between different dirtiness levels and different supplementary water intake amounts.

2. The washing machine according to claim 1, It is characterized in that The water level detection result includes a qualified water level, a low water level, and a high water level. The controller is specifically configured as follows: If the water level detection result is that the water level is qualified, controlling the washing tub to perform a washing operation; If the water level detection result is that the water level is low, the water inlet and outlet device is controlled to inlet water, and a new water level status image is acquired and uploaded to the cloud server at a preset sampling frequency until the water level detection result is that the water level is qualified; If the water level detection result shows that the water level is too high, the water inlet and outlet device is controlled to drain water, and a new water level status image is acquired and uploaded to the cloud server at the preset sampling frequency until the water level detection result shows that the water level is qualified.

3. The washing machine according to claim 2, It is characterized in that When the difference between the water level height and the clothes height in the washing tub is less than the first distance, the water level is qualified; when the difference between the clothes height and the water level is greater than the second distance, the water level is low; when the difference between the water level height and the clothes height is greater than the second distance, the water level is high, and the first distance is less than the second distance.

4. A method for controlling the water level of a washing machine, It is characterized in that The washing machine includes a washing tub, an inlet and outlet device, a weight sensor, an infrared camera, a communication module and a cloud server, and the method includes: When a washing instruction sent by a user is detected, an initial water inflow volume is determined according to the weight of the clothes in the washing tub, and the water inflow and water discharge device is controlled to flow water into the washing tub until the initial water inflow volume is reached; Acquire a water level status image of the washing tub based on the infrared camera, and send the water level status image to the cloud server; controlling the water level of the washing tub according to the water level detection result returned from the cloud server; Wherein, the water level detection result is determined by the cloud server after identifying the water level state image according to a preset convolutional neural network model; The washing machine further includes an infrared photoelectric sensor. After controlling the washing tub to perform a washing operation, the method further includes: Detecting the degree of dirtiness based on the photoelectric sensor; If the dirtiness is higher than a preset standard value, controlling the water inlet and outlet device to flow in according to the dirtiness; The water inlet and outlet device is controlled according to the degree of dirtiness, specifically: Determining the amount of supplementary water intake according to the degree of dirtiness and a preset corresponding relationship; Control the water inlet and outlet device to inlet water according to the supplementary water inlet amount; The preset corresponding relationship is the corresponding relationship between different dirtiness levels and different supplementary water intake amounts.

5. The method according to claim 4, It is characterized in that The water level detection result includes a qualified water level, a low water level, and a high water level. The water level of the washing tub is controlled according to the water level detection result returned from the cloud server, specifically: If the water level detection result is that the water level is qualified, controlling the washing tub to perform a washing operation; If the water level detection result is that the water level is low, the water inlet and outlet device is controlled to inlet water, and a new water level status image is acquired and uploaded to the cloud server at a preset sampling frequency until the water level detection result is that the water level is qualified; If the water level detection result shows that the water level is too high, the water inlet and outlet device is controlled to drain water, and a new water level status image is acquired and uploaded to the cloud server at the preset sampling frequency until the water level detection result shows that the water level is qualified.

6. The method according to claim 5, It is characterized in that When the difference between the water level height and the clothes height in the washing tub is less than the first distance, the water level is qualified; when the difference between the clothes height and the water level is greater than the second distance, the water level is low; when the difference between the water level height and the clothes height is greater than the second distance, the water level is high, and the first distance is less than the second distance.

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