Control method and device of washing machine and washing machine

Abstract

The application relates to a control method and device of a washing machine, the washing machine, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring weather information and air quality information of a region; determining a dirtiness degree of clothes to be treated based on the weather information and the air quality information; determining washing parameters of a treatment program of the washing machine for treating the clothes to be treated according to the dirtiness degree; and controlling the washing machine to execute a washing process according to the washing parameters. According to the method, the weather information and the air quality information can be used to determine the dirtiness degree of the clothes to be treated, and the washing parameters determined based on the dirtiness degree can ensure that the clothes are clean and clean after washing treatment, so that the washing effect of the clothes is ensured, the needs of users are met, and the users do not need to manually input related parameters, and the degree of intelligence is higher.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of household appliances, and in particular to a control method and device of a washing machine, the washing machine, a computer readable storage medium and a computer program product. BACKGROUND

[0002] With the development of science and technology, people's living standards are getting higher and higher, and household appliances are getting more and more complete. The washing machine has become an essential tool in people's lives. The washing machine brings great convenience to people's lives, and people's requirements for the intelligence of the washing machine are also getting higher and higher.

[0003] At present, before using the washing machine to wash clothes, the user often needs to input relevant parameters according to the dirtiness of the clothes. The user often directly uses the default program because of the tedious manual input, and the default program is often difficult to match the dirtiness of the clothes that the user needs to wash on the same day, resulting in an unsatisfactory washing effect of the clothes. SUMMARY

[0004] Therefore, it is necessary to provide a control method and device of a washing machine, the washing machine, a computer readable storage medium and a computer program product capable of determining the dirtiness of the clothes to be processed and matching the processing program.

[0005] In a first aspect, the present application provides a control method of a washing machine. The method comprises:

[0006] obtaining weather information and air quality information of the region;

[0007] determining the dirtiness of the clothes to be processed based on the weather information and the air quality information;

[0008] determining the washing parameter of the processing program of the washing machine when processing the clothes to be processed according to the dirtiness;

[0009] controlling the washing machine to perform a washing process according to the washing parameter.

[0010] In one embodiment, the method further comprises:

[0011] determining a first dirtiness value of the clothes based on the weather information;

[0012] determining a second dirtiness value of the clothes based on the air quality information;

[0013] comprehensively processing the first dirtiness value and the second dirtiness value to obtain a total dirtiness value, and determining the dirtiness matching the total dirtiness value according to the total dirtiness value.

[0014] In one of the embodiments, the weather information comprises first humidity information and first wind volume information; and the determining the first dirtiness value of the clothes based on the weather information comprises:

[0015] determining a humidity-dirtiness coefficient corresponding to the first humidity information, and determining a humidity-dirtiness value based on the first humidity information, the humidity-dirtiness coefficient, and a preset humidity-dirtiness parameter;

[0016] determining a wind volume-dirtiness coefficient corresponding to the first wind volume information, and determining a humidity-dirtiness value based on the first wind volume information, the wind volume-dirtiness coefficient, and a preset wind volume-dirtiness parameter;

[0017] comprehensively processing the humidity-dirtiness value and the wind volume-dirtiness value to obtain the first dirtiness value of the clothes.

[0018] In one of the embodiments, the determining the second dirtiness value of the clothes based on the air quality information comprises:

[0019] determining an air pollution degree matching the air quality information based on the air quality information;

[0020] determining an air pollution coefficient and an air pollution parameter corresponding to the air pollution degree;

[0021] determining the second dirtiness value based on the air pollution coefficient, the air pollution parameter, and a preset air dirtiness parameter.

[0022] In one of the embodiments, the determining the second dirtiness value based on the air pollution coefficient, the air pollution parameter, and a preset air dirtiness parameter comprises:

[0023] determining a product of the air pollution coefficient, the air pollution parameter, and the preset air dirtiness parameter as the second dirtiness value.

[0024] In one of the embodiments, the method further comprises:

[0025] obtaining weather forecast information of the region, and determining a dryness degree of the clothes when the processing is completed based on the weather forecast information;

[0026] determining a dryness parameter of a processing program of the clothes by the washing machine based on the dryness degree.

[0027] In one of the embodiments, the weather forecast information comprises second wind volume information, second humidity information, and sunlight information; and the determining the dryness degree of the clothes when the processing is completed based on the weather forecast information comprises:

[0028] determining a drying reference value of the region based on the second air volume information, the second humidity information and the sunlight information;

[0029] drying degree corresponding to the drying reference value as the drying degree of the clothes when the treatment is completed.

[0030] In one embodiment, the determining of the drying reference value of the region based on the second air volume information, the second humidity information and the sunlight information comprises:

[0031] determining a first drying reference value based on the second air volume information;

[0032] determining a second drying reference value based on the second humidity information;

[0033] determining a third drying reference value based on the sunlight information;

[0034] comprehensively processing the first drying reference value, the second drying reference value and the third drying reference value to obtain the drying reference value of the region.

[0035] In one embodiment, the method further comprises:

[0036] The determining of the first drying reference value based on the second air volume information comprises: determining an air volume-drying coefficient corresponding to the second air volume information, and determining the first drying reference value according to the second air volume information, the air volume-drying coefficient and preset air volume-drying parameters;

[0037] The determining of the second drying reference value based on the second humidity information comprises: determining a humidity-drying coefficient corresponding to the second humidity information, and determining the second drying reference value according to the second humidity information, the humidity-drying coefficient and preset humidity-drying parameters;

[0038] The determining of the third drying reference value based on the sunlight information comprises: determining a sunlight-drying coefficient corresponding to the sunlight information, and determining the third drying reference value according to the sunlight information, the sunlight-drying coefficient and preset sunlight-drying parameters.

[0039] In one embodiment, the method further comprises:

[0040] if the key parameters of the clothes to be treated input by the user are obtained, controlling the washing machine to perform a washing process according to the key parameters;

[0041] if the key parameters of the clothes to be treated are not obtained, entering the step of obtaining the weather information and the air quality information of the region.

[0042] In a second aspect, the present application provides a control device of a washing machine. The device comprises:

[0043] an information obtaining module configured to obtain weather information and air quality information of a region where the washing machine is located;

[0044] a dirtiness determining module configured to determine a dirtiness of clothes to be treated based on the weather information and the air quality information;

[0045] a parameter determining module configured to determine a washing parameter of a treatment program of the washing machine for treating the clothes to be treated according to the dirtiness;

[0046] a program executing module configured to control the washing machine to perform a washing process according to the washing parameter.

[0047] In a third aspect, the present application provides a washing machine. The washing machine comprises a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0048] obtaining weather information and air quality information of a region where the washing machine is located;

[0049] determining a dirtiness of clothes to be treated based on the weather information and the air quality information;

[0050] determining a washing parameter of a treatment program of the washing machine for treating the clothes to be treated according to the dirtiness;

[0051] controlling the washing machine to perform a washing process according to the washing parameter.

[0052] In a fourth aspect, the present application provides a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program implements the following steps when executed by a processor:

[0053] obtaining weather information and air quality information of a region where the washing machine is located;

[0054] determining a dirtiness of clothes to be treated based on the weather information and the air quality information;

[0055] determining a washing parameter of a treatment program of the washing machine for treating the clothes to be treated according to the dirtiness;

[0056] controlling the washing machine to perform a washing process according to the washing parameter.

[0057] In a fifth aspect, the present application provides a computer program product. The computer program product comprises a computer program, and the computer program implements the following steps when executed by a processor:

[0058] Obtain weather and air quality information for your area;

[0059] The degree of soiling of the clothing to be treated is determined based on the weather information and the air quality information.

[0060] The washing parameters of the washing machine's processing program for the clothes to be treated are determined based on the degree of soiling.

[0061] Control the washing machine to perform the washing process according to the washing parameters.

[0062] The aforementioned control method, device, washing machine, computer-readable storage medium, and computer program product for a washing machine first acquire local weather and air quality information; determine the degree of soiling of the clothes to be treated based on the weather and air quality information; determine the washing parameters of the washing machine's processing program for treating the clothes based on the degree of soiling; and control the washing machine to execute the washing process according to the washing parameters. Since the clothes to be washed are exposed to the local weather and air environment, the degree of soiling determined based on the weather and air quality information is more consistent with the degree of soiling of the clothes. The washing parameters determined based on this are more likely to ensure that the clothes are clean and hygienic after washing, thus guaranteeing the washing effect, meeting user needs, and eliminating the need for users to manually input relevant parameters, resulting in a higher level of intelligence. Attached Figure Description

[0063] Figure 1 This is an application environment diagram of the control method for a washing machine in one embodiment;

[0064] Figure 2 This is an application environment diagram of the control method for a washing machine in another embodiment;

[0065] Figure 3 This is a flowchart illustrating a control method for a washing machine in one embodiment;

[0066] Figure 4 This is a schematic diagram of a process for determining the degree of soiling of clothing to be treated based on weather information and air quality information in one embodiment.

[0067] Figure 5 This is a schematic diagram of a process for determining the first soiling value of clothing based on weather information in one embodiment.

[0068] Figure 6 Here is a humidity-dirt line graph from one embodiment;

[0069] Figure 7 Here is a line graph showing airflow versus dirt in one embodiment;

[0070] Figure 8A flowchart of a process of determining a second dirtiness value of clothes based on air quality information in an embodiment;

[0071] Figure 9 An air pollution bar chart in an embodiment;

[0072] Figure 10 A flowchart of a control method of a washing machine in another embodiment;

[0073] Figure 11 An air volume-dryness line chart in an embodiment;

[0074] Figure 12 A humidity-dryness line chart in an embodiment;

[0075] Figure 13 A sunlight-airing line chart in an embodiment;

[0076] Figure 14 A flowchart of a control method of a washing machine in yet another embodiment;

[0077] Figure 15 A structural block diagram of a control device of a washing machine in an embodiment;

[0078] Figure 16 An internal structural diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0079] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and should not be used to limit the present application.

[0080] The control method of the washing machine provided by the embodiments of the present application can be applied in an application environment as shown in Figure 1 The washing machine 102 can be provided with one or both of an address setting module and a positioning module. The address setting module is used to receive address information of a region where the user is located. The positioning module is used to locate the address of the washing machine 102 to determine the region where the washing machine is located. The washing machine 102 can communicate with the server 106 through a network. After the washing machine 102 sends the address information of the region where the washing machine is located to the server 106, the washing machine 102 obtains weather information and air quality information of the region where the washing machine is located from the server 106. Based on the weather information and the air quality information, the degree of dirtiness of clothes to be processed is determined. According to the degree of dirtiness, the washing parameter of the processing program of the washing machine 102 for processing the clothes to be processed is determined. The washing machine 102 is controlled to perform a washing process according to the washing parameter.

[0081] The washing machine 102 sends the address information of the region to the server 106, and the server 106 can also send the weather information and the air quality information of the region to the washing machine 102. The washing machine 102 obtains the weather information and the air quality information of the region through the server 106, determines the dirtiness degree of the clothes to be processed based on the weather information and the air quality information, determines the washing parameter of the processing program of the clothes to be processed based on the dirtiness degree, and performs the washing process according to the determined washing parameter. The data storage system can store the data required by the server 106 to process, such as the correspondence between each address information and the region, the weather information and the air quality information of each region, and the like. The data storage system can be integrated on the server 106, or placed on the cloud or other network servers.

[0082] The control method of the washing machine can also be applied to the application environment as shown in the figure, wherein the washing machine 102 communicates with the terminal 104 through the network, and the terminal 104 communicates with the server 106 through the network. The washing machine 102 can be provided with one or both of the address setting module and the positioning module. The address setting module is used to receive the address information of the region input by the user, and the positioning module is used to locate the address of the washing machine 102. The washing machine 102 determines the address information and sends it to the server 106 through the terminal 104. The user can also input the address information of the region through the terminal 104 and send it to the server 106 through the terminal 104. The positioning module on the terminal 104 can also obtain the address information of the region where the user is located and send it to the server 106. Figure 2

[0083] After receiving the address information, the server 106 can send the weather information and the air quality information of the region to the terminal 104. Then, the terminal 104 can send the weather forecast information and the air quality information of the region to the washing machine 102. The washing machine 102 determines the dirtiness degree of the clothes to be processed based on the weather information and the air quality information, determines the washing parameter of the processing program of the clothes to be processed based on the dirtiness degree, and performs the washing process according to the determined washing parameter. The terminal 104 can also determine the dirtiness degree of the clothes to be processed based on the weather information and the air quality information, determine the washing parameter of the processing program of the clothes to be processed based on the dirtiness degree, and control the washing machine 102 to perform the washing process according to the washing parameter.

[0084] ​After receiving the address information, the server 106 can also obtain the weather and air quality information of the area; and determine the degree of dirtiness of the clothes to be treated based on the weather and air quality information; determine the washing parameters of the washing machine when treating the clothes based on the degree of dirtiness; and then send the washing parameters to the terminal 104, which in turn sends them to the washing machine 102 to control the washing machine 102 to perform the washing process according to the washing parameters.

[0085] The terminal 104 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, and smart in-vehicle systems. Portable wearable devices can include smartwatches and smart bracelets. The server 106 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0086] In one embodiment, such as Figure 3 As shown, a control method for a washing machine is provided. This embodiment illustrates the application of this method to a washing machine, and the method includes steps 200 to 500. 。

[0087] Step 200: Obtain weather and air quality information for the area.

[0088] The location can be the local area where the washing machine is located, or the local area or other areas set by the user. Users can set it directly on the washing machine or through the APP (Application) on the terminal. If it is set by the user, the user's setting shall prevail.

[0089] The weather information is the weather information within the time frame specified by the first parameter prior to the current time, and the air quality information is the air quality information within the time frame specified by the first parameter prior to the current time. The first parameter acquisition time can be preset by the washing machine, set by the user, or acquired based on the current time and the user's likely activity time. Specifically, the weather information may include wind speed and humidity information, while the air quality information may include the Air Pollution Index (API) and its corresponding level.

[0090] Step 300: Determine the degree of soiling of the clothing to be treated based on weather and air quality information.

[0091] Different weather and air environment cause different pollution degree to clothes, for example, when the content of PM2.5 in the air is high, clothes are more likely to be dirty, if the air humidity is large at the same time, the dirtiness degree of clothes will be more serious, if the wind volume is large on that day, clothes will be dirtier. Therefore, when the user does not input the key parameters related to the dirtiness of clothes, the dirtiness degree determined by the weather information and the air quality information will be more matched with the actual dirtiness degree of clothes, and the dirtiness degree can be set to multiple dirtiness degree grades according to the need of washing control.

[0092] In step 400, washing parameters of a processing program of the washing machine for processing the clothes to be processed are determined according to the dirtiness degree.

[0093] The washing parameters can include washing time, washing temperature, rinsing time, rinsing times and detergent dosage, and at least one of the washing time, the washing temperature, the rinsing time, the rinsing times and the detergent dosage can be determined according to the dirtiness degree grade when the dirtiness degree is determined. How to determine the washing parameters according to the dirtiness degree grade can be set by a person skilled in the art according to the situation, which is not limited in the embodiment.

[0094] In step 500, the washing process of the washing machine is controlled to be performed according to the washing parameters.

[0095] After the specific washing parameters are determined, the washing machine performs washing treatment on the clothes to be processed according to the specific washing parameters.

[0096] The control method of the washing machine first acquires weather information and air quality information of the region where the washing machine is located, determines the dirtiness degree of the clothes to be processed based on the weather information and the air quality information, determines the washing parameters of the processing program of the washing machine for processing the clothes to be processed according to the dirtiness degree, and controls the washing machine to perform the washing process according to the washing parameters. Since the clothes to be washed will be in the weather and air environment of the region where the washing machine is located, the dirtiness degree determined according to the weather information and the air quality information is more consistent with the dirtiness degree of the clothes to be processed, and the washing parameters determined based thereon can better ensure that the clothes are clean and clean after washing treatment, thereby ensuring the washing effect of the clothes and meeting the needs of the user. The user does not need to manually input related parameters, and the intelligent degree is higher.

[0097] It should be further noted that in some washing machines, the dirtiness degree of the clothes to be washed is determined by increasing a module, which is professional and has high cost and complicated design. In the embodiment, no additional hardware is needed, no additional cost is generated, and it is easy to implement.

[0098] In one embodiment, as shown in FIG. 3, step 300 includes steps 310 to 330. Figure 4

[0099] ​At step 310, a first dirtiness value of the clothes is determined based on the weather information.

[0100] Since the weather information and the air quality information have different influences on the dirtiness of the clothes, the influences of the weather information and the air quality information on the dirtiness of the clothes can be determined respectively. When the first dirtiness value is determined based on the weather information, the first dirtiness value can be determined based on the weather information and a preset parameter formula related to the weather information, or can be determined in other manners.

[0101] At step 320, a second dirtiness value of the clothes is determined based on the air quality information.

[0102] When the second dirtiness value is determined based on the air quality information, the second dirtiness value corresponding to the air quality information can be obtained based on a preset parameter formula related to the air quality information, or the air pollution level can be determined based on the air quality information first, and then the second dirtiness value can be determined based on a preset relationship formula corresponding to the air pollution level.

[0103] At step 330, the first dirtiness value and the second dirtiness value are comprehensively processed to obtain a total dirtiness value, and a dirtiness degree corresponding to the total dirtiness value is determined based on the total dirtiness value.

[0104] The dirtiness degree of the clothes is influenced by both the weather and the air, so the first dirtiness value and the second dirtiness value need to be comprehensively processed to obtain a more comprehensive total dirtiness value, and then the dirtiness degree is determined based on the total dirtiness value. Specifically, a corresponding threshold value can be preset according to the degree of the dirtiness degree, for example, the dirtiness degree includes three dirtiness degree levels of light, medium and severe, the total dirtiness value is a, and first threshold value a1, second threshold value a2 and third threshold value a3 are preset in the order from small to large. When a1≤a

[0105] Thus, the influences of the weather information and the air quality information on the dirtiness of the clothes are determined respectively, which is more targeted, the determined influence degree of the dirtiness of the clothes is more accurate, and thus a better washing effect can be obtained.

[0106] In an embodiment, the weather information includes humidity information and wind volume information, as shown in FIG. 3A, step 310 includes steps 311 to 313. Figure 5

[0107] ​Humidity information can be the air humidity value, and wind speed information can be the wind force level. When the first parameter is acquired within one day, the air humidity value and wind force level are based on the air humidity value and wind force level in the weather forecast of the previous day. When the first parameter is acquired within more than one day, the air humidity value and wind force level can be the average of the air humidity value and the average of the wind force level in the weather forecast of each day, and the maximum value can be taken.

[0108] Step 311: Determine the humidity-dirt coefficient corresponding to the first humidity information, and determine the humidity-dirt value based on the first humidity information, the humidity-dirt coefficient and the preset humidity-dirt parameters.

[0109] The method for determining the humidity-dirt coefficient corresponding to the first humidity information is not unique. In one embodiment, such as... Figure 6 As shown, the humidity-dirt coefficient corresponding to the first humidity information is determined by a preset humidity-dirt line graph. The first axis of the preset humidity-dirt line graph represents the first humidity information, and the second axis represents the humidity-dirt coefficient. Figure 6 In the line graph shown, the first axis is the horizontal axis and the second axis is the vertical axis. The humidity-dirt line represents the relationship between the initial humidity information and the humidity-dirt coefficient. After obtaining the local air humidity value, the humidity-dirt coefficient corresponding to the air humidity value can be determined by referring to this humidity-dirt line graph.

[0110] In another embodiment, a relationship between the first humidity information and the dirt coefficient can be pre-stored. After obtaining the first humidity information, it is substituted into the relationship to calculate the humidity-dirt coefficient corresponding to the first humidity information.

[0111] When determining the humidity dirt value based on the first humidity information, the humidity-dirt coefficient, and the preset humidity dirt parameter, the humidity dirt value can be determined by multiplying the first humidity information, the humidity-dirt coefficient, and the preset humidity dirt parameter. Assuming the first humidity information is represented as x1, the humidity-dirt coefficient as y1, and the preset humidity dirt parameter as k1, then the humidity dirt value z1 = k1 * x1 * y1. The specific preset humidity dirt parameter can be determined through experimental research. It should be noted that when determining the humidity dirt value, the product of the first humidity information, the humidity-dirt coefficient, and the preset humidity dirt parameter can also be multiplied by a corresponding coefficient as needed.

[0112] Step 312: Determine the air volume-dirt coefficient corresponding to the first air volume information, and determine the humidity dirt value based on the first air volume information, the air volume-dirt coefficient and the preset air volume dirt parameters.

[0113] The method for determining the airflow-dirt coefficient corresponding to the first airflow information is not unique. In one embodiment, such as... Figure 7As shown, determining the air volume-dirtiness coefficient corresponding to the first air volume information comprises: determining the air volume-dirtiness coefficient corresponding to the first air volume information through a preset air volume-dirtiness broken line graph, wherein the first coordinate axis of the preset air volume-dirtiness broken line graph corresponds to the first air volume information, and the second coordinate axis corresponds to the air volume-dirtiness coefficient. As shown Figure 7 In the broken line graph shown, the first coordinate axis is the horizontal axis, the second coordinate axis is the vertical axis, and the air volume-dirtiness broken line represents the relationship between the first air volume information and the air volume-dirtiness coefficient. After obtaining the local wind force level, the wind force-dirtiness coefficient corresponding to the wind force level can be determined according to the wind force-dirtiness broken line graph.

[0114] In another embodiment, a relationship between the first air volume information and the air volume-dirtiness coefficient can be pre-stored. After obtaining the first air volume information, the first air volume information is brought into the relationship to calculate the air volume-dirtiness coefficient corresponding to the first air volume information.

[0115] When determining the humidity-dirtiness value according to the first air volume information, the air volume-dirtiness coefficient, and the preset air volume-dirtiness parameter, the product of the first air volume information, the air volume-dirtiness coefficient, and the preset air volume-dirtiness parameter can be determined as the air volume-dirtiness value obtained after processing the wind force information. Assuming that the first air volume information is represented as x3, the air volume-dirtiness coefficient is represented as y3, and the preset air volume-dirtiness parameter is represented as k3, then the air volume-dirtiness value z3=k3*x3*y3, wherein the preset air volume-dirtiness parameter can be determined in combination with experimental research. When determining the air volume-dirtiness value, the product of the first air volume information, the air volume-dirtiness coefficient, and the preset air volume-dirtiness parameter can also be multiplied by the corresponding coefficient as needed.

[0116] In step 313, the humidity-dirtiness value and the air volume-dirtiness value are comprehensively processed to obtain the first dirtiness value of the clothes.

[0117] The first dirtiness value of the clothes needs to be determined in combination with the humidity-dirtiness value and the air volume-dirtiness value. When comprehensively processing, the sum of the humidity-dirtiness value and the air volume-dirtiness value can be directly taken as the first dirtiness value. Alternatively, different weight coefficients can be set for the humidity-dirtiness value and the air volume-dirtiness value, and then the products of the humidity-dirtiness value and the air volume-dirtiness value multiplied by the respective weight coefficients are summed to obtain the first dirtiness value. It should be understood that in other embodiments, the humidity-dirtiness value and the air volume-dirtiness value can also be comprehensively processed in other ways.

[0118] The humidity and the air volume in the weather information have a greater impact on the dirtiness of the clothes. In this embodiment, the impact of the first humidity and the first air volume on the dirtiness of the clothes is determined, and the impact of the weather information on the dirtiness of the clothes is more accurate.

[0119] In one embodiment, as shown Figure 8 Step 320 includes steps 321 to 323.

[0120] Step 321, determining the air pollution degree matched with the air quality information according to the air quality information.

[0121] The air quality information includes an air pollution index (API) and a corresponding grade. The air pollution index adopted in China is divided into five grades: 1. API value less than or equal to 50, indicating that the air quality is excellent; 2. API value greater than 50 and less than or equal to 100, indicating that the air quality is good; 3. API value greater than 100 and less than or equal to 200, indicating that the air quality is slightly polluted; 4. API value greater than 200, indicating that the air quality is poor, which is called moderate pollution; 5. API greater than 300, indicating that the air quality is extremely poor, which is severely polluted.

[0122] In this embodiment, the air pollution degree can include multiple pollution grades, which can be directly determined according to the pollution grade in the air quality information, for example, including three grades of slight pollution (corresponding to excellent, good and slight pollution of air quality), moderate pollution (corresponding to slight pollution of air quality) and high pollution (corresponding to slight pollution of air quality). The pollution grade can also be determined according to the air pollution index. Those skilled in the art can determine it according to actual needs, which will not be described here.

[0123] Step 322, determining the air pollution coefficient and the air pollution parameter corresponding to the air pollution degree.

[0124] The way to determine the air pollution coefficient corresponding to the air pollution degree is not unique. In one embodiment, as shown in Figure 9 , determining the air pollution coefficient corresponding to the air pollution degree includes determining the air pollution coefficient corresponding to the air pollution degree through a preset air pollution bar graph, wherein the first coordinate axis of the preset air pollution bar graph corresponds to the air pollution coefficient, and the second coordinate axis corresponds to the air pollution degree. As shown in Figure 9 , in the bar graph, the first coordinate axis is the horizontal axis, and the second coordinate axis is the vertical axis. The bar graph shows the relationship between the air pollution degree and the air pollution coefficient. After obtaining the local air pollution grade, the corresponding air pollution coefficient can be determined according to the bar graph.

[0125] In another embodiment, the relationship between the air pollution degree and the air pollution coefficient can also be pre-stored. After obtaining the local air pollution degree, it is brought into the relationship to calculate the air pollution coefficient corresponding to the air pollution degree.

[0126] The air pollution parameter is a fixed value corresponding to the air pollution grade, and the specific value also needs to be obtained through experimental research, for example, 1, 4 and 8 respectively corresponding to slight pollution, moderate pollution and high pollution.

[0127] Step 323, determining a second dirtiness value according to the air pollution coefficient, the air pollution parameter and the preset air dirtiness parameter.

[0128] When determining the second dirtiness value according to the air pollution coefficient, the air pollution parameter and the preset air dirtiness parameter, the product of the air pollution coefficient, the air pollution parameter and the preset air dirtiness parameter can be determined as the second dirtiness value. Assuming that the air pollution coefficient is denoted as x2, the air pollution parameter is denoted as y2, and the preset air dirtiness parameter is denoted as k2, then the second dirtiness value z2 = k2 * x2 * y2, wherein the preset air dirtiness parameter k2 can be determined in combination with experimental research. When determining the second dirtiness value, the product of the air pollution coefficient, the air pollution parameter and the preset air dirtiness parameter can also be multiplied by a corresponding coefficient according to needs.

[0129] In this embodiment, the pollution degree of different air environments on clothes can be determined, so that the final total dirtiness value is more accurate, and a more accurate dirtiness degree and a more matched washing parameter are determined, and the expected washing effect is achieved.

[0130] It can be understood that some weather is not suitable for airing, which brings certain difficulty to clothes airing. When the user does not input the key parameters related to airing, the existing processing program of the washing machine is difficult to meet the user's needs.

[0131] Based on this, in one embodiment, as shown in Figure 10 The control method of the washing machine further includes steps 600 and 700.

[0132] Step 600, obtaining weather forecast information of the region, and determining the dryness of the clothes when the processing is completed based on the weather forecast information.

[0133] The weather forecast information is weather information within a second parameter acquisition time after the current time. The second parameter acquisition time can be preset in the washing machine or set by the user. Thus, the dryness of the clothes is determined according to the subsequent weather conditions.

[0134] In one embodiment, the weather forecast information includes second air volume information, second humidity information and sunlight information, etc. When the second parameter acquisition time is not more than one day, the second air volume information and the second humidity information and the sunlight information take the wind power level, the air humidity value and the sunlight duration within the next one day in the weather forecast information; when the second parameter acquisition time is more than two days, the second air volume information and the second humidity information and the sunlight information take the average value or the maximum value of the wind power level, the air humidity value and the sunlight duration within the next second parameter acquisition time in the weather forecast information.

[0135] The step 600 can include determining a drying reference value of the region based on the second air volume information, the second humidity information and the sunlight information; and determining the dryness degree corresponding to the drying reference value as the dryness degree of the clothes when the treatment is completed.

[0136] The drying reference value is used to reflect the influence of the next weather on the clothes drying. Based on the drying control requirement, the drying reference value can be divided into multiple drying levels, and the dryness degree is also set to the same number of dryness levels. For example, the drying level is three, including low drying level, medium drying level and high drying level; and the dryness degree includes three dryness levels, including completely dry, relatively dry and relatively wet.

[0137] Suppose the drying reference value is b, and there are first drying threshold b1, second drying threshold b2 and third drying threshold b3 in order from small to large. When b1≤b<b2, it is considered as low drying level. When the air is very humid or the sunlight is not long enough, the clothes need to be completely dry when taken out of the washing machine, and the corresponding dryness level is completely dry. When b2≤b<b3, it is considered as medium drying level. When the weather is relatively humid or the sunlight is slightly insufficient, the clothes need to be relatively dry when taken out of the washing machine, and the corresponding dryness level is relatively dry. When b3≤b, it is considered as high drying level. When the weather is relatively dry or the sunlight is long enough, the clothes can be relatively wet when taken out of the washing machine, and the corresponding dryness level is relatively wet.

[0138] Further, the weather information can also include temperature information. The drying reference value of the region is determined based on the temperature information, the second air volume information, the second humidity information and the sunlight information, so as to obtain a more comprehensive drying reference value.

[0139] Further, the dryness degree can also be adjusted in combination with the air quality information. For example, if the air pollution is serious in the second parameter acquisition time, and the clothes will be polluted if they are dried, the dryness degree can be adjusted to completely dry or relatively dry, so as to reduce the contact time of the clothes with the polluted air during drying, and avoid pollution of the clothes.

[0140] The step 700 includes determining a drying parameter of the treatment program of the clothes in the washing machine according to the dryness degree.

[0141] The drying parameter can include drying temperature, drying time and dehydration time. When the dryness degree of the clothes when the treatment is completed is determined, at least one of the drying temperature, the drying time and the dehydration time can be determined according to the dryness degree. How to determine the drying parameter according to the dryness degree can be set by a person skilled in the art according to the situation, and the present embodiment is not limited in this regard.

[0142] After the completion of the laundry, if the day is not suitable for airing (such as rainy weather), it will bring certain difficulty to the airing of the clothes, and bring trouble to the user. In the embodiment, the drying degree of the clothes at the completion of the treatment is determined by the weather information, which can ensure that the clothes are dried in time, and improve the user experience and the intelligent degree of the washing machine.

[0143] In one embodiment, determining the airing reference value of the region based on the second air volume information, the second humidity information and the sun exposure information comprises: determining a first airing reference value based on the second air volume information; determining a second airing reference value based on the second humidity information; determining a third airing reference value based on the sun exposure information; and comprehensively processing the first airing reference value, the second airing reference value and the third airing reference value to obtain the airing reference value of the region.

[0144] During the airing of the clothes, the air volume, the air humidity and the sun exposure time will have different effects on the airing, respectively. Therefore, in the embodiment, the airing reference values corresponding to the second air volume information, the second humidity information and the sun exposure information are determined respectively, and the suitability of the weather to the airing is more reliable.

[0145] Further, a fourth airing reference value can be determined based on the temperature information, and the first airing reference value, the second airing reference value, the third airing reference value and the fourth airing reference value are comprehensively processed to obtain the airing reference value of the region, so that a more comprehensive airing reference value is obtained.

[0146] In one embodiment, determining the first airing reference value based on the second air volume information comprises: determining an air volume-airing coefficient corresponding to the second air volume information, and determining the first airing reference value according to the second air volume information, the air volume-airing coefficient and a preset air volume-airing parameter.

[0147] The manner of determining the air volume-airing coefficient corresponding to the second air volume information is not unique. In one embodiment, as shown in Figure 11 , the air volume-airing coefficient corresponding to the second air volume information is determined by a preset air volume-drying degree fold line, wherein the first coordinate axis of the preset air volume-drying degree fold line corresponds to the second air volume information, and the second coordinate axis corresponds to the air volume-airing coefficient. As shown in Figure 11 , in the fold line, the first coordinate axis is the horizontal axis, and the second coordinate axis is the vertical axis. The air volume-drying degree fold line represents the relationship between the second air volume information and the air volume-airing coefficient. After the local air volume is obtained, the air volume-airing coefficient corresponding to the air volume can be determined according to the air volume-drying degree fold line.

[0148] In another embodiment, a relationship between the second air volume information and the air volume-drying coefficient can be pre-stored, and after the local second air volume information is acquired, the second air volume information is brought into the relationship to calculate the air volume-drying coefficient corresponding to the second air volume information.

[0149] When the first drying reference value is determined according to the second air volume information, the air volume-drying coefficient and the preset air volume drying parameter, the product of the second air volume information, the air volume-drying coefficient and the preset air volume drying parameter can be determined as the first drying reference value. Assuming that the second air volume information is represented as x6, the air volume-drying coefficient is represented as y1, and the preset air volume drying parameter is represented as k1, then the first drying reference value z6=k6*x6*y6, wherein the preset air volume drying parameter can be determined according to the test research. According to the actual needs, when the first drying reference value is determined, the product of the second air volume information, the air volume-drying coefficient and the preset air volume drying parameter can also be multiplied by the corresponding coefficient according to the needs.

[0150] In one embodiment, the second drying reference value is determined based on the second humidity information, including: determining a humidity-drying coefficient corresponding to the second humidity information, and determining the second drying reference value according to the second humidity information, the humidity-drying coefficient and a preset humidity drying parameter.

[0151] The way of determining the humidity-drying coefficient corresponding to the humidity information is also not unique. In one embodiment, as shown in Figure 12 , the humidity-drying coefficient corresponding to the second humidity information is determined by a preset humidity-dryness fold line, wherein the first coordinate axis of the preset humidity-dryness fold line corresponds to the second humidity information, and the second coordinate axis corresponds to the humidity-drying coefficient. As shown in Figure 12 , in the fold line, the first coordinate axis is the horizontal axis, the second coordinate axis is the vertical axis, and the humidity-dryness fold line represents the relationship between the second humidity information and the humidity-drying coefficient. After the local second humidity is acquired, the humidity-drying coefficient corresponding to the second humidity can be determined according to the humidity-dryness fold line.

[0152] In another embodiment, a relationship between the second humidity information and the humidity-drying coefficient can be pre-stored, and after the local air humidity information is acquired, the air humidity information is brought into the relationship to calculate the humidity-drying coefficient corresponding to the second humidity information.

[0153] According to the second humidity information, the humidity-airing coefficient and the preset humidity-airing parameter, the second airing reference value can be determined by multiplying the second humidity information, the humidity-airing coefficient and the preset humidity-airing parameter, and the product is taken as the second airing reference value. Assuming that the second humidity information is denoted as x4, the humidity-airing coefficient is denoted as y4, and the preset humidity-airing parameter is denoted as k4, then the second airing reference value z4 = k4 * x4 * y4, wherein the preset humidity-airing parameter can be determined according to the test research. According to actual needs, when the second airing reference value is determined, the product of the second humidity information, the humidity-airing coefficient and the preset humidity-airing parameter can also be multiplied by a corresponding coefficient according to needs.

[0154] In one embodiment, the third airing reference value is determined based on the sunlight information, including: determining a sunlight-airing coefficient corresponding to the sunlight information, and determining the third airing reference value according to the sunlight information, the sunlight-airing coefficient and a preset sunlight-airing parameter.

[0155] The sunlight information is specifically a sunlight duration, and the sunlight duration of the second parameter acquisition time can be calculated according to the sunrise time, the sunset time in the weather forecast information and the current time.

[0156] The way of determining the sunlight-airing coefficient corresponding to the sunlight information is also not unique, and in one embodiment, as shown in Figure 13 , the sunlight-airing coefficient corresponding to the sunlight information is determined by a preset sunlight-airing broken line graph, wherein the first coordinate axis of the preset sunlight-airing broken line graph corresponds to the sunlight information, and the second coordinate axis corresponds to the sunlight-airing coefficient. As shown in Figure 13 , in the broken line graph, the first coordinate axis is the horizontal axis, the second coordinate axis is the vertical axis, and the sunlight-airing broken line represents the relationship between the sunlight duration and the sunlight-airing coefficient. After the local sunlight duration is obtained, the sunlight-airing coefficient corresponding to the sunlight duration can be determined according to the sunlight-airing broken line graph.

[0157] In another embodiment, a relationship between the sunlight information and the sunlight-airing coefficient can be pre-stored, and after the local sunlight duration is obtained, the local sunlight duration is brought into the relationship to calculate the sunlight-airing coefficient corresponding to the sunlight duration.

[0158] According to the sunlight information, the sunlight-airing coefficient and the preset sunlight-airing parameter, the third airing reference value can be determined by multiplying the sunlight duration, the sunlight-airing coefficient and the preset sunlight-airing parameter, and the product is taken as the third airing reference value. Assuming that the sunlight duration is denoted as x5, the sunlight-airing coefficient is denoted as y5, and the preset sunlight-airing parameter is denoted as k5, the third airing reference value z5=k5*x5*y5, wherein the preset sunlight-airing parameter can be determined according to test research. According to actual needs, the product of the sunlight duration, the sunlight-airing coefficient and the preset sunlight-airing parameter can also be multiplied by a corresponding coefficient when the third airing reference value is determined.

[0159] At present, before using the washing machine to wash clothes, the user needs to manually input the related characteristic information of the clothes to be washed, so as to recommend a washing program for washing according to the related characteristic information. Based on this, in one embodiment, if the key parameters of the clothes to be processed input by the user are obtained, the washing machine is controlled to perform a washing process according to the key parameters; if the key parameters of the clothes to be processed are not obtained, a step of obtaining weather information and air quality information of the region is entered.

[0160] The key parameters of the clothes to be processed input by the user can be input by the user through an APP on a terminal, or can be input by the user through a corresponding interface provided on the washing machine. The key parameters can include whether there is construction nearby, whether there is special stains (including but not limited to oil stains, pigments, etc.), the dryness of the clothes after processing, and the like.

[0161] If the key parameters of the clothes to be processed are obtained, the dirtiness and dryness of the clothes are first determined according to the key parameters and the weather information. When the dirtiness of the clothes is determined according to the key parameters, the special stains > the construction nearby > the humidity > the air volume > the air pollution degree in the judgment of the dirtiness of the clothes.

[0162] If the key parameters of the clothes to be processed are not obtained, step 200 is executed to automatically determine the dirtiness of the clothes.

[0163] It should be noted that if the user only inputs the parameters such as whether there is construction nearby and whether there are special stains, only the dirtiness of the clothes can be determined, and the dryness still needs to be intelligently determined in combination with the weather forecast. If the user only inputs the dryness of the clothes after processing, only the dryness of the clothes can be determined, and the dirtiness of the clothes still needs to be intelligently determined in combination with step 200.

[0164] In this embodiment, the determined washing parameters and drying parameters can better match the user's needs with the user's needs as the priority when the user inputs the key parameters. In the case where the user does not input, the related parameters can also be intelligently determined to match the user's needs and improve the user's experience.

[0165] In order to better understand the above-mentioned embodiments, the following will be explained in detail in combination with a specific embodiment. Please refer to Figure 14 In the present embodiment, firstly, it is judged whether the key parameters of the clothes to be treated input by the user are received. If the key parameters of the clothes input by the user are acquired, the dirtiness degree of the clothes and the washing parameters matched with the dirtiness degree, the dryness degree of the clothes when taken out of the washing machine and the drying parameters matched with the dryness degree are determined according to the key parameters respectively, and then the appropriate washing program is obtained according to the washing parameters and the drying parameters. If the user does not input the key parameters, the air volume, the air pollution degree and the air humidity in the region where the washing machine is located are acquired through the APP on the terminal or the related module built in the washing machine, so as to determine the dirtiness degree of the clothes and the washing parameters matched with the dirtiness degree in combination with the air volume, the air pollution degree and the air humidity. At the same time, the humidity information in the next period of time and the sunrise and sunset time are acquired through the APP on the terminal or the related module built in the washing machine, so as to determine the dryness degree of the clothes when taken out of the washing machine and the drying parameters matched with the dryness degree, and finally the appropriate washing program is obtained according to the washing parameters and the drying parameters. Thus, the washing machine is controlled to treat the clothes according to the washing program, which can not only ensure that the clothes are clean and clean, but also ensure that the clothes are dried in time, effectively improving the intelligent degree of the washing machine and the user experience.

[0166] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0167] Based on the same inventive concept, the present application also provides a control device of a washing machine for implementing the control method of the washing machine as described above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more control device embodiments of the washing machine provided below can refer to the limitations of the control method of the washing machine in the above, which will not be described here.

[0168] In one embodiment, as Figure 15As shown, a control device of a washing machine is provided, comprising: an information acquisition module 10, a dirtiness degree determination module 20, a parameter determination module 30 and a program execution module 40, wherein:

[0169] The information acquisition module 10 is configured to acquire weather information and air quality information of a region where the washing machine is located.

[0170] The dirtiness degree determination module 20 is configured to determine a dirtiness degree of clothes to be processed based on the weather information and the air quality information.

[0171] The parameter determination module 30 is configured to determine a washing parameter of a processing program of the washing machine for processing the clothes to be processed according to the dirtiness degree.

[0172] The program execution module 40 is configured to control the washing machine to perform a washing process according to the washing parameter.

[0173] The dirtiness degree determination module 20 is further configured to determine a first dirtiness value of the clothes based on the weather information, determine a second dirtiness value of the clothes based on the air quality information, comprehensively process the first dirtiness value and the second dirtiness value to obtain a total dirtiness value, and determine a dirtiness degree matched with the total dirtiness value according to the total dirtiness value.

[0174] The dirtiness degree determination module 20 is further configured to determine a humidity-dirtiness coefficient corresponding to the first humidity information, determine a humidity-dirtiness value according to the first humidity information, the humidity-dirtiness coefficient and a preset humidity-dirtiness parameter, determine an air volume-dirtiness coefficient corresponding to the first air volume information, determine a humidity-dirtiness value according to the first air volume information, the air volume-dirtiness coefficient and a preset air volume-dirtiness parameter, and comprehensively process the humidity-dirtiness value and the air volume-dirtiness value to obtain the first dirtiness value of the clothes.

[0175] The dirtiness degree determination module 20 is further configured to determine an air pollution degree matched with the air quality information according to the air quality information, determine an air pollution coefficient and an air pollution parameter corresponding to the air pollution degree, and determine the second dirtiness value according to the air pollution coefficient, the air pollution parameter and a preset air-dirtiness parameter.

[0176] The dirtiness degree determination module 20 is further configured to determine a product of the air pollution coefficient, the air pollution parameter and the preset air-dirtiness parameter as the second dirtiness value.

[0177] The parameter determination module 30 is further configured to acquire weather forecast information of the region where the washing machine is located, determine a dryness degree of the clothes when the processing is completed based on the weather forecast information, and determine a dryness parameter of the processing program of the washing machine for processing the clothes according to the dryness degree.

[0178] The parameter determination module 30 is further configured to determine the drying reference value of the region based on the second air volume information, the second humidity information and the sunlight information, and take the dryness corresponding to the drying reference value as the dryness of the clothes after the treatment.

[0179] The parameter determination module 30 is further configured to determine the first drying reference value based on the second air volume information, determine the second drying reference value based on the second humidity information, determine the third drying reference value based on the sunlight information, and comprehensively process the first drying reference value, the second drying reference value and the third drying reference value to obtain the drying reference value of the region.

[0180] The parameter determination module 30 is further configured to determine the first drying reference value based on the second air volume information, including determining the air volume-drying coefficient corresponding to the second air volume information, and determining the first drying reference value according to the second air volume information, the air volume-drying coefficient and the preset air volume-drying parameter; determine the second drying reference value based on the second humidity information, including determining the humidity-drying coefficient corresponding to the second humidity information, and determining the second drying reference value according to the second humidity information, the humidity-drying coefficient and the preset humidity-drying parameter; and determine the third drying reference value based on the sunlight information, including determining the sunlight-drying coefficient corresponding to the sunlight information, and determining the third drying reference value according to the sunlight information, the sunlight-drying coefficient and the preset sunlight-drying parameter.

[0181] The information acquisition module 10 is further configured to control the washing machine to perform the washing process according to the key parameters of the clothes to be treated if the key parameters input by the user are acquired.

[0182] The above modules in the control device of the washing machine can be realized by software, hardware and a combination thereof in whole or in part. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above modules.

[0183] In one embodiment, a computer device is provided, which can be a server, and the internal structure diagram thereof can be as shown in Figure 16As shown in the figure. The computer device includes a processor, a memory, an input / output interface (I / O for short) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through the system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capability. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data that needs to be processed, such as the correspondence between various address information and regions, weather information and air quality information of various regions, etc. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to realize a control method of a washing machine.

[0184] Those skilled in the art can understand that, Figure 16 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0185] In one embodiment, a washing machine is also provided, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the steps in each of the above method embodiments.

[0186] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to realize the steps in each of the above method embodiments.

[0187] In one embodiment, a computer program product is provided, which includes a computer program, and the computer program is executed by a processor to realize the steps in each of the above method embodiments.

[0188] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0189] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0190] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0191] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A control method of a washing machine, characterized by, The method comprises: obtaining weather information and air quality information of the region; determining the dirtiness degree of the clothes to be processed based on the weather information and the air quality information; determining the washing parameter of the washing program of the washing machine when processing the clothes to be processed according to the dirtiness degree; controlling the washing machine to perform the washing process according to the washing parameter; determining the dirtiness degree of the clothes to be processed based on the weather information and the air quality information, comprising: determining a first dirtiness value of the clothes to be processed based on the weather information; determining a second dirtiness value of the clothes to be processed based on the air quality information; and comprehensively processing the first dirtiness value and the second dirtiness value to obtain a total dirtiness value, and determining the dirtiness degree matched with the total dirtiness value according to the total dirtiness value; wherein the weather information comprises first humidity information and first wind volume information; determining the first dirtiness value of the clothes to be processed based on the weather information comprises: determining a humidity-dirtiness coefficient corresponding to the first humidity information through a preset humidity-dirtiness fold line, determining a product of the first humidity information, the humidity-dirtiness coefficient and a preset humidity-dirtiness parameter as a humidity-dirtiness value; determining a wind volume-dirtiness coefficient corresponding to the first wind volume information through a preset wind volume-dirtiness fold line, determining a product of the first wind volume information, the wind volume-dirtiness coefficient and a preset wind volume-dirtiness parameter as a wind volume-dirtiness value; and comprehensively processing the humidity-dirtiness value and the wind volume-dirtiness value to obtain the first dirtiness value of the clothes to be processed.

2. The method of claim 1, wherein, determining the second dirtiness value of the clothes to be processed based on the air quality information comprises: determining an air pollution degree matched with the air quality information according to the air quality information; determining an air pollution coefficient and an air pollution parameter corresponding to the air pollution degree; determining a second dirtiness value according to the air pollution coefficient, the air pollution parameter and a preset air dirtiness parameter.

3. The method of claim 2, wherein, determining the second dirtiness value according to the air pollution coefficient, the air pollution parameter and a preset air dirtiness parameter comprises: determining a product of the air pollution coefficient, the air pollution parameter and the preset air dirtiness parameter as the second dirtiness value.

4. The method of claim 1, wherein, The method further comprises: obtaining weather forecast information of the region, and determining a dryness degree of the clothes to be processed when the processing is completed based on the weather forecast information; determining a dryness parameter of the processing program of the washing machine when processing the clothes to be processed according to the dryness degree.

5. The method of claim 4, wherein, The weather forecast information comprises second wind volume information, second humidity information and sun exposure information, and determining the dryness degree of the clothes to be processed when the processing is completed based on the weather forecast information comprises: determining an air drying reference value of the region based on the second wind volume information, the second humidity information and the sun exposure information; determining a dryness degree corresponding to the air drying reference value as the dryness degree of the clothes to be processed when the processing is completed.

6. The method of claim 5, wherein, determining the air drying reference value of the region based on the second wind volume information, the second humidity information and the sun exposure information comprises: determine a first airing reference value based on the second air volume information; determine a second airing reference value based on the second humidity information; determine a third airing reference value based on the sunlight information; comprehensively process the first airing reference value, the second airing reference value and the third airing reference value to obtain an airing reference value of the region.

7. The method of claim 6, wherein, The method comprises at least one of the following: The method comprises at least one of the following: The method comprises at least one of the following: The method comprises at least one of the following.

8. The method according to any one of claims 1-7, characterized in that, The method further comprises: If the key parameters of the clothes to be processed are obtained, the washing machine is controlled to perform a washing process according to the key parameters; If the key parameters of the clothes to be processed are not obtained, the step of obtaining the weather information and the air quality information of the region is entered.

9. A control device of a washing machine, characterized by, The device comprises: An information acquisition module is configured to acquire weather information and air quality information of a region. A dirtiness degree determination module is configured to determine a dirtiness degree of clothes to be processed based on the weather information and the air quality information. The determination of the dirtiness degree of the clothes to be processed based on the weather information and the air quality information comprises: determining a first dirtiness value of the clothes to be processed based on the weather information; determining a second dirtiness value of the clothes to be processed based on the air quality information; comprehensively processing the first dirtiness value and the second dirtiness value to obtain a total dirtiness value, and determining a dirtiness degree matched with the total dirtiness value according to the total dirtiness value; wherein the weather information comprises first humidity information and first air volume information; the determination of the first dirtiness value of the clothes to be processed based on the weather information comprises: determining a humidity-dirtiness coefficient corresponding to the first humidity information through a preset humidity-dirtiness fold line, determining a humidity-dirtiness value as a product of the first humidity information, the humidity-dirtiness coefficient and a preset humidity-dirtiness parameter, determining a wind-dirtiness coefficient corresponding to the first air volume information through a preset wind-dirtiness fold line, determining a wind-dirtiness value as a product of the first air volume information, the wind-dirtiness coefficient and a preset wind-dirtiness parameter, and comprehensively processing the humidity-dirtiness value and the wind-dirtiness value to obtain the first dirtiness value of the clothes to be processed; A parameter determination module is configured to determine washing parameters of a washing program of a washing machine when the washing machine processes the clothes to be processed according to the dirtiness degree. A program execution module is configured to control the washing machine to perform a washing process according to the washing parameters.

10. A washing machine comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor, when executing the computer program, implements the steps of the method according to any one of claims 1 to 8.

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