阅读说明：本技术 一种洗衣机和水位控制方法 (Washing machine and water level control method ) 是由 高进宝 秦勇 于 2021-10-13 设计创作，主要内容包括：本发明公开了一种洗衣机和水位控制方法,洗衣机包括洗涤桶、进排水装置、重量传感器、红外摄像头、通信模块和控制器,控制器被配置为：当检测到用户发送的洗衣指令时,根据所述洗涤桶内的衣物重量确定初始进水量,并控制所述进排水装置向所述洗涤桶内进水直至达到所述初始进水量；基于所述红外摄像头获取所述洗涤桶的水位状态图像,并将所述水位状态图像发送到所述云端服务器；根据从所述云端服务器返回的水位检测结果控制所述洗涤桶的水位；其中,所述水位检测结果是所述云端服务器根据预设卷积神经网络模型对所述水位状态图像进行识别后确定的,从而可以自动准确的进行水位控制,保证了洗涤效果,提高了用户体验。(The invention discloses a washing machine and a water level control method, wherein the washing machine comprises a washing barrel, a water inlet and outlet device, a weight sensor, an infrared camera, a communication module and a controller, wherein the controller is configured to: when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached; acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server; controlling the water level of the washing tub according to a water level detection result returned from the cloud server; the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model, so that water level control can be automatically and accurately performed, the washing effect is guaranteed, and the user experience is improved.)

1. A washing machine, characterized by comprising:

a washing tub;

a water inlet and outlet device for controlling the water inlet and outlet of the washing barrel;

a weight sensor for detecting the weight of the laundry in the washing tub;

an infrared camera for photographing an internal image of the washing tub;

the communication module is in communication connection with the cloud server;

a controller configured to:

when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached;

acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server;

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

and the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model.

2. The washing machine as claimed in claim 1, wherein the water level detection result includes a water level pass, a water level lower, and a water level higher, and the control appliance body is configured to:

if the water level detection result shows that the water level is qualified, controlling the washing barrel to carry out washing operation;

if the water level detection result is that the water level is low, controlling the water inlet and outlet device to feed water, acquiring and uploading a new water level state image to the cloud server according to a preset sampling frequency until the water level detection result is that the water level is qualified;

and if the water level detection result is that the water level is higher, controlling the water inlet and outlet device to discharge water, and acquiring and uploading a new water level state image to the cloud server according to the preset sampling frequency until the water level detection result is that the water level is qualified.

3. The washing machine as claimed in claim 2, wherein the water level sensing result is qualified when a difference between a height of a water level in the washing tub and a height of laundry is less than a first distance, the water level sensing result is low when a difference between the height of the laundry minus the height of the water level is greater than a second distance, the water level sensing result is high when the difference between the height of the water level minus the height of the laundry is greater than the second distance, and the first distance is less than the second distance.

4. The washing machine as claimed in claim 2, further comprising:

an infrared photoelectric sensor for determining the dirtiness degree of the water in the washing tub according to the transmittance of the infrared rays in the water;

the controller is further configured to:

detecting the degree of dirtiness based on the photoelectric sensor after controlling the washing tub to perform a washing operation;

and if the dirty degree is higher than a preset standard value, controlling the water inlet and outlet device to feed water according to the dirty degree.

5. The washing machine as claimed in claim 4, wherein the control appliance body is configured to:

determining the supplementary water inflow according to the dirtiness degree and a preset corresponding relation;

controlling the water inlet and outlet device to feed water according to the supplemented water inflow;

wherein, the preset corresponding relationship is the corresponding relationship between different dirty degrees and different supplementary water inflow.

6. A water level control method of 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:

when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached;

acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server;

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

and the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model.

7. The method of claim 6, wherein the water level detection result comprises a qualified water level, a low water level, and a high water level, and 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 shows that the water level is qualified, controlling the washing barrel to carry out washing operation;

if the water level detection result is that the water level is low, controlling the water inlet and outlet device to feed water, acquiring and uploading a new water level state image to the cloud server according to a preset sampling frequency until the water level detection result is that the water level is qualified;

and if the water level detection result is that the water level is higher, controlling the water inlet and outlet device to discharge water, and acquiring and uploading a new water level state image to the cloud server according to the preset sampling frequency until the water level detection result is that the water level is qualified.

8. The method of claim 7, wherein the water level sensing result is qualified when a difference between a height of a water level in the washing tub and a height of the laundry is less than a first distance, the water level sensing result is low when a difference between the height of the laundry minus the height of the water level is greater than a second distance, the water level sensing result is high when a difference between the height of the water level minus the height of the laundry is greater than the second distance, and the first distance is less than the second distance.

9. The method as claimed in claim 7, wherein the washing machine further comprises an infrared photosensor, and after controlling the washing tub to perform a washing operation, the method further comprises:

detecting the degree of dirtiness based on the photosensor;

and if the dirty degree is higher than a preset standard value, controlling the water inlet and outlet device to feed water according to the dirty degree.

10. The method according to claim 9, wherein controlling the water intake and discharge device to intake water according to the degree of dirtiness comprises:

determining the supplementary water inflow according to the dirtiness degree and a preset corresponding relation;

controlling the water inlet and outlet device to feed water according to the supplemented water inflow;

wherein, the preset corresponding relationship is the corresponding relationship between different dirty degrees and different supplementary water inflow.

Technical Field

The present invention relates to the technical field of washing machines, and more particularly, to a washing machine and a water level control method.

Background

Along with the progress of science and technology, people's life is more and more intelligent, automatic, and washing machine can replace artifical hand washing clothing, becomes the indispensable instrument in the daily life.

At present, washing machines do not have a function of automatically judging internal water levels basically, some washing machines can automatically recommend one water level according to the weight of clothes, but the relation between the weight and the volume of the clothes is not regular and can be followed, and the recommended water levels reflected by many users are inaccurate, so that the water levels are generally set manually by the users at present, and the user experience is influenced.

Therefore, how to provide a washing machine capable of automatically and accurately controlling the water level is a technical problem to be solved at present.

Disclosure of Invention

The invention provides a washing machine, which is used for solving the technical problem that the prior art can not accurately control the water level in an automatic state, and comprises:

a washing tub;

a water inlet and outlet device for controlling the water inlet and outlet of the washing barrel;

a weight sensor for detecting the weight of the laundry in the washing tub;

an infrared camera for photographing an internal image of the washing tub;

the communication module is in communication connection with the cloud server;

a controller configured to:

when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached;

acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server;

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

and the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model.

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 configured to:

if the water level detection result shows that the water level is qualified, controlling the washing barrel to carry out washing operation;

if the water level detection result is that the water level is low, controlling the water inlet and outlet device to feed water, acquiring and uploading a new water level state image to the cloud server according to a preset sampling frequency until the water level detection result is that the water level is qualified;

and if the water level detection result is that the water level is higher, controlling the water inlet and outlet device to discharge water, and acquiring and uploading a new water level state image to the cloud server according to the preset sampling frequency until the water level detection result is that the water level is qualified.

In some embodiments of the present invention, the water level detection result is qualified when a difference between a height of a water level in the washing tub and a height of the laundry is smaller than a first distance, the water level detection result is low when the difference between the height of the laundry and the height of the water level is greater than a second distance, the water level detection result is high when the difference between the height of the water level and the height of the laundry is greater than the second distance, and the first distance is smaller than the second distance.

In some embodiments of the present application, further comprising:

an infrared photoelectric sensor for determining the dirtiness degree of the water in the washing tub according to the transmittance of the infrared rays in the water;

the controller is further configured to:

detecting the degree of dirtiness based on the photoelectric sensor after controlling the washing tub to perform a washing operation;

and if the dirty degree is higher than a preset standard value, controlling the water inlet and outlet device to feed water according to the dirty degree.

In some embodiments of the present application, the control appliance is configured to:

determining the supplementary water inflow according to the dirtiness degree and a preset corresponding relation;

controlling the water inlet and outlet device to feed water according to the supplemented water inflow;

wherein, the preset corresponding relationship is the corresponding relationship between different dirty degrees and different supplementary water inflow.

Correspondingly, the invention also provides a water level control method of the washing machine, the washing machine comprises a washing barrel, a water inlet and outlet device, a weight sensor, an infrared camera and a communication module, and the method comprises the following steps:

when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached;

acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server;

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

and the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model.

In some embodiments of the present application, the water level detection result includes that the water level is qualified, the water level is low, the water level is high, according to from the water level detection result control that the high in the clouds server returned the water level of washtub specifically is:

if the water level detection result shows that the water level is qualified, controlling the washing barrel to carry out washing operation;

if the water level detection result is that the water level is low, controlling the water inlet and outlet device to feed water, acquiring and uploading a new water level state image to the cloud server according to a preset sampling frequency until the water level detection result is that the water level is qualified;

and if the water level detection result is that the water level is higher, controlling the water inlet and outlet device to discharge water, and acquiring and uploading a new water level state image to the cloud server according to the preset sampling frequency until the water level detection result is that the water level is qualified.

In some embodiments of the present invention, the water level detection result is qualified when a difference between a height of a water level in the washing tub and a height of the laundry is smaller than a first distance, the water level detection result is low when the difference between the height of the laundry and the height of the water level is greater than a second distance, the water level detection result is high when the difference between the height of the water level and the height of the laundry is greater than the second distance, and the first distance is smaller than the second distance.

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:

detecting the degree of dirtiness based on the photosensor;

and if the dirty degree is higher than a preset standard value, controlling the water inlet and outlet device to feed water according to the dirty degree.

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

determining the supplementary water inflow according to the dirtiness degree and a preset corresponding relation;

controlling the water inlet and outlet device to feed water according to the supplemented water inflow;

wherein, the preset corresponding relationship is the corresponding relationship between different dirty degrees and different supplementary water inflow.

By applying the above technical scheme, the washing machine comprises a washing tub, a water inlet and outlet device, a weight sensor, an infrared camera, a communication module and a controller, wherein the controller is configured to: when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached; acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server; controlling the water level of the washing tub according to a water level detection result returned from the cloud server; the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model, so that water level control can be automatically and accurately performed, the water level control is further performed according to the dirty degree, the washing effect is guaranteed, and the user experience is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 illustrates a schematic structural view of a washing machine according to an embodiment of the present invention;

fig. 2 is a flow chart illustrating a water level control method of a washing machine according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

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

An embodiment of the present application provides a washing machine, as shown in fig. 1, including:

a washing tub 100;

a water inlet and outlet device 200 for controlling water inlet and outlet of the washing tub 100;

a weight sensor 300 for detecting the weight of the laundry in the washing tub 100;

an infrared camera 400 photographing an internal image of the washing tub 100;

the communication module 500 establishes communication connection with the cloud server;

a controller 600 configured to:

when a washing instruction sent by a user is detected, determining an initial water inflow according to the weight of clothes in the washing tub 100, and controlling the water inlet and outlet device 200 to feed water into the washing tub 100 until the initial water inflow is reached;

acquiring a water level state image of the washing tub 100 based on the infrared camera 400, and transmitting the water level state image to a cloud server;

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

In this embodiment, the washing tub 100 is disposed inside the outer tub, and can store the laundry for washing, and the washing machine can control water inflow and drainage of the washing tub 100 through the water inflow and drainage device 200; the washing machine further includes: a cabinet provided with a door for inputting laundry, the door being disposed at an upper portion or a front portion of the cabinet; an outer tub disposed inside the cabinet and capable of storing washing water; and a driving module disposed at the outer tub to wash the laundry by rotating the washing tub 100.

The washing machine also detects the weight of laundry in the washing tub 100 through the weight sensor 300. An infrared camera 400 is further provided to photograph an image of the inside of the washing tub 100 in the washing tub 100 having a dark light. The communication module 500 may be a device component having functions of communication and data processing, and may be a WiFi module, 2/3/4/5G module, or NB-IoT module.

A user can send a washing instruction to the controller 600 through a function button on the washing machine or a user terminal, after receiving the washing instruction, the controller 600 firstly determines the weight of clothes in the washing tub 100 according to the weight sensor 300, determines an initial water inflow according to the corresponding relationship between the weight of the clothes and different water inflows, then controls the water inlet and outlet device 200 to feed water into the washing tub 100 according to the initial water inflow, and further obtains a water level state image of the washing tub 100 through the infrared camera 400 after the initial water inflow is reached and sends the water level state image to a cloud server through the communication module 500, a preset convolutional neural network model is deployed on the cloud server, and the cloud server identifies the water level state image through the preset convolutional neural network model and determines a water level detection result, and transmits the water level detection result to the controller 600, and the controller 600 may control the water level of the washing tub 100 according to the water level detection result.

The preset convolutional neural network model is obtained by putting a data set consisting of standard water level images into a deep learning frame and performing model training through a convolutional neural network, wherein the standard water level images are images of clothes just overflowed by water in the washing tub 100. The specific process of model training by convolutional neural networks will be apparent to those skilled in the art and will not be described in detail herein.

For reliable water level control, 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 600 is specifically configured to:

if the water level detection result is that the water level is qualified, controlling the washing tub 100 to perform washing operation;

if the water level detection result is that the water level is low, controlling the water inlet and outlet device 200 to feed water, and acquiring and uploading a new water level state image to the cloud server according to a preset sampling frequency until the water level detection result is that the water level is qualified;

if the water level detection result is that the water level is higher, the water inlet and outlet device 200 is controlled to drain water, and new water level state images are acquired and uploaded to the cloud server according to the preset sampling frequency until the water level detection result is that the water level is qualified.

In this embodiment, the water level detection result includes that the water level is qualified, the water level is lower, and the water level is higher, and if the water level detection result is that the water level is qualified, the washing operation is performed by driving the washing tub 100 to rotate without water feeding and water discharging; if the water level detection result is that the water level is lower, which indicates that the water amount is insufficient, the washing effect is affected, water needs to be added, the water inlet and outlet device 200 is controlled to feed water, a new water level state image is obtained through the infrared camera 400 according to a preset sampling frequency and is 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 higher than normal, it is too big to explain the water yield, can increase power consumption and influence the washing effect, needs the drainage, through advancing drainage device 200 drainage to acquire new water level state image according to predetermineeing sampling frequency through infrared camera 400, and upload to the cloud server and discern, until the water level is qualified.

Optionally, the preset sampling frequency may be 3 seconds.

For reliable determination of the water level detection result, in some embodiments of the present invention, the water level detection result is qualified when a difference between a height of the water level in the washing tub 100 and a height of the laundry is smaller than a first distance, the water level detection result is low when the difference between the height of the laundry and the height of the water level is greater than a second distance, the water level detection result is high when the difference between the height of the water level and the height of the laundry is greater than the second distance, and the first distance is smaller than the second distance.

Alternatively, the first distance may be 1cm and the second distance may be 2 cm.

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

an infrared photoelectric sensor for determining the degree of dirtiness of the water in the washing tub 100 based on the transmittance of the infrared rays in the water;

the controller 600 is further configured to:

detecting the degree of dirtiness based on the photoelectric sensor after controlling the washing tub 100 to perform the washing operation;

if the degree of the dirtiness is higher than the preset standard value, the water inlet and outlet device 200 is controlled to feed water according to the degree of the dirtiness.

In this embodiment, the infrared photoelectric sensor may emit infrared rays into the water, and determine the degree of 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 washing operation, the infrared photoelectric sensor is activated to detect the degree of dirt, and if the degree of dirt is higher than a preset standard value, the water inlet and outlet device 200 is controlled to feed water according to the degree of dirt.

It can be understood that if the degree of dirtiness is not higher than the preset standard value, no water is supplied into the washing tub.

To enhance the washing effect, in some embodiments of the present application, the controller 600 is specifically configured to:

determining the supplementary water inflow according to the dirtiness degree and the preset corresponding relation;

controlling the water inlet and outlet device 200 to feed water according to the supplemented water inflow.

In this embodiment, a preset corresponding relationship is established in advance according to different dirt degrees and different supplementary water inflow amounts, the supplementary water inflow amount is determined according to the dirt degrees and the preset corresponding relationship, and the water inlet and outlet device 200 is controlled to feed water according to the supplementary water inflow amount. For example, when the preset standard value is 1 and the dirtiness degree is 1.3, the supplementary water inflow is 300ml, namely 300ml of clean water is added; when the dirty degree is 2, the supplementary water inflow is 1L, namely 1L of clean water is added.

By applying the above technical scheme, the washing machine comprises a washing tub, a water inlet and outlet device, a weight sensor, an infrared camera, a communication module and a controller, wherein the controller is configured to: when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached; acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server; controlling the water level of the washing tub according to a water level detection result returned from the cloud server; the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model, so that water level control can be automatically and accurately performed, the water level control is further performed according to the dirty degree, the washing effect is guaranteed, and the user experience is improved.

In order to further illustrate the technical idea of the present invention, the technical solution of the present invention will now be described with reference to specific application scenarios.

The embodiment of the application provides a water level control method of a washing machine, which is applied to the washing machine and comprises the following steps:

the method comprises the following steps: when a user puts clothes and clicks to start washing, the washing machine firstly preliminarily sets an initial water inflow according to the weight of the clothes, for example, the initial water inflow of 1-2kg of clothes is 3L; the initial water inflow of 2-3kg of clothes is 4L; the initial water inflow of 4-6kg of clothes is 5L, and the initial water inflow can be slightly lower as much as possible, so that waste caused by water drainage after the water level is too high is avoided.

And step two, after the initial water inflow is reached, shooting clothes and water level states in the washing barrel at the moment through the infrared camera, then sending the water level state images to the cloud server, and enabling the cloud server to preset the convolutional neural network model to identify the water level state images and return water level detection results.

1) If the water level detection result is that the water level is qualified, continuing to perform the subsequent step three;

2) if the water level detection result is that the water level is lower, water is continuously added, and the water level is monitored once every 3 seconds (photographing is carried out, and then a new water level state image is sent to a cloud server) until the water level is qualified;

3) if the water level detection result is that the water level is higher, automatic drainage is performed, and monitoring is performed once every 3 seconds (photographing is performed, and then a new water level state image is sent to the cloud server) until the water level is qualified.

And step three, after receiving the message that the water level detection result sent by the cloud server is that the water level is qualified, the washing machine starts to drive the washing barrel to wash the clothes, the infrared photoelectric sensor is started in the washing process to monitor the dirty degree, and if the dirty degree exceeds a standard value, a certain amount of water is automatically added into the washing machine. For example, when the preset standard value of the dirty degree is 1 and the dirty degree is 1.3, 300ml of clean water is added; when the degree of dirtiness was 2, 1L of clean water was added.

The embodiment of the present application further provides a water level control method for a washing machine, where the washing machine includes a washing tub, a water inlet and outlet device, a weight sensor, an infrared camera, and a communication module, as shown in fig. 2, the method includes the following steps:

step S101, when a washing instruction sent by a user is detected, determining initial water inflow according to the weight of clothes in the washing barrel, and controlling the water inlet and outlet device to feed water into the washing barrel until the initial water inflow is reached;

step S102, acquiring a water level state image of the washing barrel based on the infrared camera, and sending the water level state image to the cloud server;

step S103, controlling the water level of the washing barrel according to a water level detection result returned from the cloud server;

and the water level detection result is determined after the cloud server identifies the water level state image according to a preset convolutional neural network model.

For reliable water level control, in some embodiments of the present application, the water level detection result includes that the water level is qualified, the water level is low, the water level is high, according to from the water level detection result control that the high in the clouds server returned the water level of washtub specifically is:

if the water level detection result shows that the water level is qualified, controlling the washing barrel to carry out washing operation;

if the water level detection result is that the water level is low, controlling the water inlet and outlet device to feed water, acquiring and uploading a new water level state image to the cloud server according to a preset sampling frequency until the water level detection result is that the water level is qualified;

and if the water level detection result is that the water level is higher, controlling the water inlet and outlet device to discharge water, and acquiring and uploading a new water level state image to the cloud server according to the preset sampling frequency until the water level detection result is that the water level is qualified.

For reliable determination of the water level detection result, in some embodiments of the present invention, the water level detection result is qualified when a difference between a height of a water level in the washing tub and a height of the laundry is smaller than a first distance, the water level detection result is low when the difference between the height of the laundry and the height of the water level is greater than a second distance, the water level detection result is high when the difference between the height of the water level and the height of the laundry is greater than the second distance, and the first distance is smaller than the second distance.

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:

detecting the degree of dirtiness based on the photosensor;

and if the dirty degree is higher than a preset standard value, controlling the water inlet and outlet device to feed water according to the dirty degree.

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:

determining the supplementary water inflow according to the dirtiness degree and a preset corresponding relation;

controlling the water inlet and outlet device to feed water according to the supplemented water inflow;

wherein, the preset corresponding relationship is the corresponding relationship between different dirty degrees and different supplementary water inflow.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.