Washing machine and program recommendation control method thereof

Abstract

The present invention belongs to the technical field of washing equipment, and specifically provides a washing machine and a program recommendation control method thereof, the program recommendation control method comprising: obtaining the location information of a target washing machine; determining a target area corresponding to the target washing machine according to the location information; obtaining the washing program data of all or part of the other washing machines in the target area; and recommending a washing program to the target washing machine according to the washing program data. By recommending a washing program to the target washing machine, the user can select the required washing program from the recommended washing programs, and the number of recommended washing programs is much smaller than the number stored in the washing machine, thereby greatly shortening the time for the user to select a washing program and improving the user's experience. The target washing machine and other washing machines are in the same region, and the environment and dressing habits are basically the same. By recommending a washing program to the target washing machine according to the washing program data of the washing machine, the accuracy of the recommendation result can be highly guaranteed.

Description

Technical Field

[0001] The invention belongs to the technical field of washing equipment, and specifically provides a washing machine and a program recommendation control method thereof. Background Art

[0002] A washing machine is a device that can wash clothes, which brings great convenience to people's daily life. With the advancement of technology, the functions of washing machines are increasing, but the corresponding operating procedures are becoming more and more complicated. In order to facilitate user operation, a variety of washing programs are provided in the washing machine for users to choose from.

[0003] However, there are many kinds of washing programs stored in existing washing machines, and some washing machines even store dozens or even hundreds of different washing programs, so that users need to spend a long time on selecting washing programs, which seriously affects the user experience.

[0004] Therefore, this field needs a new technical solution to solve the above problems. Summary of the invention

[0005] In order to solve the above-mentioned problems in the prior art, that is, to solve the problem that a wide variety of washing programs stored in existing washing machines causes inconvenience in user selection, the present invention provides a program recommendation control method for a washing machine, the program recommendation control method comprising: obtaining location information of a target washing machine; determining a target area corresponding to the target washing machine according to the location information; obtaining washing program data of all or part of other washing machines in the target area; and recommending a washing program to the target washing machine according to the washing program data.

[0006] In the preferred technical scheme of the above-mentioned program recommendation control method, the step of "obtaining washing program data of all or part of the other washing machines in the target area" specifically includes: obtaining the washing programs executed by all or part of the other washing machines in the target area within the recent period of time and the number of times each of the washing programs has been run.

[0007] In the preferred technical solution of the above-mentioned program recommendation control method, the step of "recommending a washing program to the target washing machine based on the washing program data" specifically includes: determining whether the number of running times of each of the washing programs obtained is greater than a first preset value; if the number of running times of the washing program is greater than the first preset value, recommending the washing program to the target washing machine.

[0008] In the preferred technical scheme of the above-mentioned program recommendation control method, the step of "selectively recommending the washing program to the target washing machine based on the judgment result" specifically includes: judging whether the number of running times of each of the washing programs obtained is greater than a second preset value and whether the washing program belongs to a program in the washing category corresponding to the ambient temperature of the target area; if the number of running times of the washing program is greater than the second preset value and the washing program belongs to a program in the washing category, recommending the washing program to the target washing machine.

[0009] In the preferred technical solution of the above-mentioned program recommendation control method, before the step of "recommending a washing program to the target washing machine based on the washing program data", the program recommendation control method also includes: judging whether the current time is within the time range of seasonal changes in the region where the target area is located; if the judgment result is "yes", then the step of "recommending a washing program to the target washing machine based on the washing program data" specifically includes: selectively recommending the washing program to the target washing machine based on the acquired number of runs of each of the washing programs and the increase in the number of runs of each of the washing programs.

[0010] In the preferred technical solution of the above-mentioned program recommendation control method, the program recommendation control method also includes: if the judgment result is "no", the step of "recommending the washing program to the target washing machine based on the washing program data" specifically includes: selectively recommending the washing program to the target washing machine based on the acquired number of runs of each of the washing programs.

[0011] In the preferred technical scheme of the above-mentioned program recommendation control method, the step of "selectively recommending the washing program to the target washing machine based on the acquired running times of each of the washing programs and the increase in the running times of each of the washing programs" specifically includes: calculating the increase in the running times of each of the washing programs; judging whether the running times of each of the washing programs is greater than a third preset value and whether the increase in the running times of each of the washing programs is greater than a fourth preset value; if the running times of the washing program is greater than the third preset value and the increase in the running times of the washing program is greater than the fourth preset value, recommending the washing program to the target washing machine.

[0012] In the preferred technical solution of the above-mentioned program recommendation control method, the step of "recommending a washing program to the target washing machine based on the washing program data" specifically includes: sorting all the washing programs acquired according to the number of times they are run; and recommending the washing programs with more runs to the target washing machine according to the preset number of recommendations.

[0013] In the preferred technical solution of the above-mentioned program recommendation control method, before the step of "obtaining the washing program data of all or part of the other washing machines in the target area", the program recommendation control method also includes: obtaining the total number of other washing machines in the target area; if the total number of other washing machines in the target area is less than or equal to a preset number, obtaining the washing program data of all other washing machines in the target area; if the total number of other washing machines in the target area is greater than the preset number, obtaining the washing program data of part of the other washing machines in the target area, wherein the number of the obtained part of the washing machines does not exceed the preset number.

[0014] In another aspect, the present invention further provides a washing machine having a controller configured to execute the above-mentioned program recommendation control method.

[0015] Those skilled in the art can understand that, in the preferred technical scheme of the present invention, by recommending washing programs to the target washing machine, the user can select the required washing program from the recommended washing programs, and the number of recommended washing programs is much smaller than the number stored in the washing machine, thereby greatly shortening the time for users to select washing programs and improving the user experience. In addition, the target washing machine is located in the same region as other washing machines, and the environment and clothing habits are basically the same. Recommending washing programs to the target washing machine based on the washing program data of the washing machine can highly guarantee the accuracy of the recommendation results.

[0016] Furthermore, the washing program data is the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program is run. Using the washing programs executed in the recent period and the number of times each washing program is run as a reference can further improve the accuracy of the recommendation results.

[0017] Furthermore, whether to recommend the washing program to the target washing machine is comprehensively determined based on the ambient temperature of the target area and the number of times the washing program is run, which can improve the accuracy of the recommendation result.

[0018] Furthermore, before the step of "recommending a washing program to the target washing machine based on the washing program data", determine whether the current time is within the time range of seasonal changes in the target area. Based on the judgment result, choose to recommend to the target washing machine based on the acquired number of running times of each washing program as a reference basis, or choose to recommend to the target washing machine based on the acquired number of running times of each washing program and the increase in the number of running times of the washing program as a reference basis, which can further improve the accuracy of the recommendation results.

[0019] Furthermore, by setting a preset number, while ensuring that the base is sufficient, by limiting the number of washing machines, the amount of calculation can be reduced and the calculation speed can be increased. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The preferred embodiments of the present invention are described below with reference to the accompanying drawings, in which:

[0021] Figure 1 is a schematic structural diagram of a washing machine of the present invention;

[0022] Figure 2 is a flow chart of a program recommendation control method for a washing machine of the present invention;

[0023] Figure 3 is a flow chart of a first embodiment of a program recommendation control method for a washing machine of the present invention;

[0024] Figure 4 is a flow chart of a second embodiment of a program recommendation control method for a washing machine of the present invention;

[0025] Figure 5 is a flow chart of a third embodiment of a program recommendation control method for a washing machine of the present invention;

[0026] Figure 6 It is a flow chart of a fourth embodiment of the program recommendation control method for a washing machine of the present invention. DETAILED DESCRIPTION

[0027] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that the following embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0028] It should be noted that in the description of the present invention, the terms "upper", "lower", "left", "right", "front", "back", "top", "bottom", "inside", "outside" and the like indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings, which are only for the convenience of description, and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0029] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0030] First refer to Figure 1 , Figure 1 Schematic diagram of the structure of the washing machine of the present invention. Figure 1 As shown, the washing machine of the present invention comprises a housing 1, and a control panel 12 is arranged on the top plate 11 of the housing 1. Exemplarily, the control panel 12 of the washing machine is a touch panel, and the user can control the washing machine by touching the function icons (not shown in the figure) on the control panel 12.

[0031] Based on the background technology, there are many kinds of washing programs stored in the washing machine, which requires users to spend a long time on selecting washing programs, seriously affecting the user's experience. To this end, the present invention provides a program recommendation control method, through which the appropriate washing degree can be automatically recommended to the user, greatly shortening the time for the user to select the washing program and improving the user's experience. A controller is provided in the housing 1 of the washing machine, and the controller can execute the program recommendation control method.

[0032] like Figure 2 As shown, the program recommendation control method of the present invention comprises the following steps:

[0033] S1: Obtaining the location information of the target washing machine;

[0034] S2: determining a target area corresponding to a target washing machine according to the location information;

[0035] S3: Acquire washing program data of all or part of other washing machines in the target area;

[0036] S4: Recommend a washing program to the target washing machine according to the washing program data.

[0037] It should be noted that recommending a washing program to a target washing machine is equivalent to recommending a washing program to a target user who operates the target washing machine for selection by the target user.

[0038] After the target user turns on the target washing machine, the target user first obtains the location information of the target washing machine. For example, a positioning device can be installed in the target washing machine to maintain communication with the controller of the target washing machine. The location information of the target washing machine is obtained through the positioning device, and the location information is transmitted to the controller in a timely manner. Then, the target area corresponding to the target washing machine is determined according to the location information. For example, a circular target area with a radius of 100 km is determined with the current location of the target washing machine as the center. After determining the target area, the washing program data of all or part of the other washing machines in the target area are obtained, and then a washing program is recommended to the target washing machine based on the obtained washing program data.

[0039] By recommending washing programs to users, users can select the required washing programs from the recommended washing programs. The number of recommended washing programs is much smaller than the number stored in the washing machine, which can greatly shorten the time for users to select washing programs and improve the user experience. In addition, the target washing machine is located in the same region as other washing machines, and the environment and clothing habits are basically the same. Recommending washing programs to the target washing machine based on the washing program data of the washing machine can highly guarantee the accuracy of the recommendation results.

[0040] It should be noted that all washing machines can be connected to a cloud server, which can store the washing program data of each washing machine, and a target washing machine can obtain the washing program data of other washing machines in a target area from the cloud server.

[0041] Preferably, the program recommendation control method of the present invention also includes: before step S3, obtaining the total number of other washing machines in the target area; if the total number of other washing machines is less than or equal to the preset number, obtaining the washing program data of all other washing machines in the target area; if the total number of other washing machines in the target area is greater than the preset number, obtaining the washing program data of some of the other washing machines in the target area, wherein the number of the obtained partial washing machines does not exceed the preset number.

[0042] For example, the preset number is 1000. When the total number of other washing machines in the target area is less than or equal to 1000, the washing program data of all other washing machines are obtained. On the contrary, when the total number of other washing machines in the target area is greater than 1000, only the washing program data of 1000 washing machines can be obtained, that is, the washing program data of some washing machines in all other washing machines in the target area are obtained. By limiting the number of washing machines to be obtained, the amount of calculation can be reduced and the calculation speed can be improved while ensuring that the base number is sufficient.

[0043] It should be noted that the washing program data may be the washing programs executed by other washing machines, or the washing program data may be the washing programs executed by other washing machines and the number of executions of each washing program. Alternatively, the washing program data may be the washing programs executed by other washing machines in the recent period and the number of executions of each washing program. Such flexible adjustments and changes do not deviate from the principles and scope of the present invention and should be limited within the protection scope of the present invention.

[0044] Preferably, step S3 includes: obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program is run. That is, the washing program data is the washing programs executed by all or part of the other washing machines in the recent period and the number of times each washing program is executed. Exemplarily, the recent period is 30 days, starting from the current date and pushing back 30 days. For example, the current date is December 01, 2020, and pushing back 30 days is November 01, 2020, then the washing programs executed by all or part of the other washing machines in the target area from November 01, 2020 to November 30, 2020 and the number of times each washing program is run are obtained.

[0045] The following is a detailed description of the program recommendation control method of the present invention in combination with several specific embodiments, taking the washing program data as the washing programs executed by all or part of other washing machines in the recent period and the execution times of each washing program as an example.

[0046] Embodiment 1

[0047] Combine the following Figure 3 The technical solution of this embodiment is introduced in detail.

[0048] like Figure 3 As shown, the program recommendation control method of this embodiment includes the following steps:

[0049] S1: Obtaining the location information of the target washing machine;

[0050] S2: determining a target area corresponding to a target washing machine according to the location information;

[0051] S3: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program is run;

[0052] S4: Determine whether the acquired running times of each washing program is greater than a first preset value;

[0053] S5: If the number of times the washing program is run is greater than a first preset value, recommending the washing program to the target washing machine;

[0054] S6: If the running number of the washing program is not greater than the first preset value, the washing program is not recommended to the target washing machine.

[0055] By obtaining the washing programs that have been executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program has been run, it is possible to learn which washing programs other users near the target user have used in the recent period and the number of times each washing program has been run, and then select some washing programs with higher frequency of use from the obtained washing programs and recommend them to the target washing machine.

[0056] When the number of times a washing program is run is greater than a first preset value, it means that the washing program has been used frequently in the recent period and is more likely to meet the needs of the target user. Therefore, the washing program is recommended to the target washing machine for the target user to select. Conversely, when the number of times a washing program is run is less than or equal to the first preset value, it means that the washing program has been used less frequently in the recent period and is less likely to meet the needs of the target user. Therefore, the washing program is not recommended to the target washing machine to avoid interfering with the target user's selection of a program.

[0057] Embodiment 2

[0058] Combine the following Figure 4 The technical solution of this embodiment is introduced in detail.

[0059] like Figure 4 As shown, the program recommendation control method of this embodiment includes the following steps:

[0060] S1: Obtaining the location information of the target washing machine;

[0061] S2: determining a target area corresponding to a target washing machine according to the location information;

[0062] S3: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program is run;

[0063] S4: Obtain the ambient temperature of the target area;

[0064] S5: Determine the washing classification according to the ambient temperature;

[0065] S6: Determine whether the acquired running times of each washing program is greater than a second preset value and whether the washing program belongs to a program in the washing category;

[0066] S7: If the number of times the washing program is run is greater than a second preset value and the washing program belongs to a program in the washing category, recommending the washing program to the target washing machine;

[0067] S8: If the running number of the washing program is not greater than the first preset value or the washing program does not belong to the program in the washing category, the washing program is not recommended to the target washing machine.

[0068] By obtaining the washing programs that have been executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program has been run, it is possible to learn which washing programs other users near the target user have used in the recent period and the number of times each washing program has been run, and then select some suitable programs from the obtained washing programs and recommend them to the target washing machine.

[0069] The washing programs are classified according to different ambient temperatures. Exemplarily, the washing programs are divided into three categories, namely the first washing category, the second washing category and the third washing category. The temperature range corresponding to the first washing category is less than 10 degrees, the temperature range corresponding to the second washing category is 10 to 25 degrees, and the temperature range corresponding to the third washing category is greater than 25 degrees. Among them, the first washing category includes washing programs such as cotton clothes, down, wool, woolen, and strong wash. The second washing category includes washing programs such as mixed, jackets, shirts, sportswear, and standard wash. The third washing category includes washing programs such as quick wash, chemical fiber, silk, summer quilt, and gentle small items.

[0070] When the number of times a washing program is run is greater than the second preset value and the washing program belongs to a program in the washing category corresponding to the ambient temperature of the target area, it means that the washing program has been used frequently in the recent period and matches the ambient temperature, and is likely to meet the needs of the target user. Therefore, the washing program is recommended to the target washing machine for selection by the target user. Conversely, when the number of times a washing program is run is less than or equal to the second preset value or does not belong to a program in the washing category corresponding to the ambient temperature of the target area, it means that the washing program has been used less frequently in the recent period or does not match the ambient temperature, and is unlikely to meet the needs of the target user. Therefore, the washing program is not recommended to the target washing machine to avoid interfering with the target user's selection of a program.

[0071] Embodiment 3

[0072] Combine the following Figure 5 The technical solution of this embodiment is introduced in detail.

[0073] like Figure 5 As shown, the program recommendation control method of this embodiment includes the following steps:

[0074] S1: Obtaining the location information of the target washing machine;

[0075] S2: determining a target area corresponding to a target washing machine according to the location information;

[0076] S3: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program is run;

[0077] S4: sorting all the washing programs acquired according to the number of times they are run;

[0078] S5: According to the preset recommended number, the washing program with a larger number of runs is recommended to the target washing machine.

[0079] By obtaining the washing programs that have been executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program has been run, it is possible to learn which washing programs other users near the target user have used in the recent period and the number of times each washing program has been run, and then select some suitable programs from the obtained washing programs and recommend them to the target washing machine.

[0080] All the acquired washing programs are sorted according to the number of times they are run. For example, the washing programs with more runs are arranged in front, and the washing programs with fewer runs are arranged in the back. The preset number of recommendations is 5, and the top 5 washing programs are recommended to the target washing machine for the target user to choose.

[0081] Embodiment 4

[0082] Combine the following Figure 6 The technical solution of this embodiment is introduced in detail.

[0083] like Figure 6 As shown, the program recommendation control method of this embodiment includes the following steps:

[0084] S1: Obtaining the location information of the target washing machine;

[0085] S2: determining a target area corresponding to a target washing machine according to the location information;

[0086] S3: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program is run;

[0087] S4: Determine whether the current time is within the time range of seasonal changes in the target area;

[0088] S5: If the judgment result is "no", selectively recommending the washing program to the target washing machine according to the acquired running times of each washing program;

[0089] S6: If the judgment result is "yes", then the increase in the number of operation times of each washing program obtained is calculated;

[0090] S7: Determine whether the number of times each washing program is run is greater than a third preset value and whether the increase in the number of times each washing program is run is greater than a fourth preset value;

[0091] S8: If the number of times the washing program is run is greater than the third preset value and the increase in the number of times the washing program is run is greater than the fourth preset value, recommending the washing program to the target washing machine;

[0092] S9: If the running number of the washing program is not greater than the third preset value or the increase in the running number of the washing program is not greater than the fourth preset value, the washing program is not recommended to the target washing machine.

[0093] By obtaining the washing programs that have been executed by all or part of the other washing machines in the target area in the recent period and the number of times each washing program has been run, it is possible to learn which washing programs other users near the target user have used in the recent period and the number of times each washing program has been run, and then select some suitable programs from the obtained washing programs and recommend them to the target washing machine.

[0094] Before recommending a washing program to the target washing machine based on the acquired washing program data, it is necessary to first determine whether the current time is within the time range of seasonal changes in the target area. Seasonal changes will affect people's clothing, and accordingly, will cause changes in the washing program used by the user.

[0095] Take Qingdao as an example. After entering March, Qingdao begins to turn from winter to summer and the weather begins to get warmer. After entering May, Qingdao begins to turn from spring to summer and the weather begins to get hotter. After entering October, Qingdao begins to turn from summer to autumn and the weather begins to get cooler. After entering December, Qingdao begins to turn from autumn to winter and the weather begins to get colder.

[0096] If the current time happens to be a day in March, May, October or December, people's dressing habits will change during this time period, and the washing program will also change accordingly. Therefore, based on the obtained running times of each washing program and the increase in the running times of each washing program, the washing program is selectively recommended to the target washing machine, so that a more accurate recommendation result can be obtained. When the running times of the washing program is greater than the third preset value and the increase in the running times of the washing program is greater than the fourth preset value, it means that the washing program has been used frequently in the recent period and the frequency of use is increasing or remains unchanged, and it is likely to meet the needs of the target user. Therefore, the washing program is recommended to the target washing machine for the target user to select. On the contrary, when the running times of the washing program is not greater than the third preset value or the increase in the running times of the washing program is not greater than the fourth preset value, it means that the washing program has been used less in the recent period or the frequency of use is decreasing, and it is unlikely to meet the needs of the target user. Therefore, the washing program is not recommended to the target washing machine to avoid interfering with the target user's selection of the program.

[0097] If the current time is not in March, May, October and December, people's dressing habits are relatively stable during this time period and the washing program will not change significantly. Therefore, based on the number of times each washing program is run, selectively recommending the washing program to the target washing machine can obtain more accurate recommendation results.

[0098] Among them, the specific step of "selectively recommending the washing program to the target washing machine based on the acquired running number of each washing program" can adopt the steps in Example 1, that is, judging whether the acquired running number of each washing program is greater than a first preset value; if the running number of the washing program is greater than the first preset value, recommending the washing program to the target washing machine; if the running number of the washing program is not greater than the first preset value, not recommending the washing program to the target washing machine; or, the steps in Example 3 can also be adopted, that is, sorting all the acquired washing programs according to the number of their respective running times; and recommending the washing program with a larger number of running times to the target washing machine according to the preset number of recommendations.

[0099] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A program recommendation control method for a washing machine, characterized in that: The program recommendation control method comprises: Obtaining the location information of the target washing machine; determining a target area corresponding to the target washing machine according to the location information; Acquiring washing program data of all or part of other washing machines in the target area; recommending a washing program to the target washing machine according to the washing program data; The step of "obtaining washing program data of all or part of the other washing machines in the target area" specifically includes: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each of the washing programs has been run; The step of "recommending a washing program to the target washing machine according to the washing program data" specifically includes: Determining whether the acquired running times of each washing program is greater than a first preset value; If the number of times the washing program is run is greater than the first preset value, the washing program is recommended to the target washing machine.

2. A program recommendation control method for a washing machine, characterized in that: The program recommendation control method comprises: Obtaining the location information of the target washing machine; determining a target area corresponding to the target washing machine according to the location information; Acquiring washing program data of all or part of other washing machines in the target area; recommending a washing program to the target washing machine according to the washing program data; The step of "obtaining washing program data of all or part of the other washing machines in the target area" specifically includes: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each of the washing programs has been run; The step of "recommending a washing program to the target washing machine according to the washing program data" specifically includes: Determining whether the acquired running times of each washing program is greater than a second preset value and whether the washing program belongs to a program in a washing classification corresponding to the ambient temperature of the target area; If the number of times the washing program is run is greater than the second preset value and the washing program belongs to a program in the washing category, the washing program is recommended to the target washing machine.

3. A program recommendation control method for a washing machine, characterized in that: The program recommendation control method comprises: Obtaining the location information of the target washing machine; determining a target area corresponding to the target washing machine according to the location information; Acquiring washing program data of all or part of other washing machines in the target area; recommending a washing program to the target washing machine according to the washing program data; The step of "obtaining washing program data of all or part of the other washing machines in the target area" specifically includes: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each of the washing programs has been run; Before the step of "recommending a washing program to the target washing machine according to the washing program data", the program recommendation control method further includes: Determine whether the current time is within the time range of seasonal changes in the region where the target area is located; If the judgment result is "yes", the step of "recommending a washing program to the target washing machine according to the washing program data" specifically includes: According to the acquired running times of each washing program and the increase range of the running times of each washing program, the washing program is selectively recommended to the target washing machine.

4. The program recommendation control method according to claim 3, characterized in that: The program recommendation control method further includes: If the judgment result is "no", the step of "recommending a washing program to the target washing machine according to the washing program data" specifically includes: According to the acquired running times of each of the washing programs, the washing programs are selectively recommended to the target washing machine.

5. The program recommendation control method according to claim 3, characterized in that: The step of "selectively recommending the washing program to the target washing machine according to the acquired running times of each washing program and the increase range of the running times of each washing program" specifically includes: Calculate the increase in the number of times each washing program is run; Determining whether the number of times each of the washing programs is run is greater than a third preset value and whether the increase in the number of times each of the washing programs is run is greater than a fourth preset value; If the number of times the washing program is run is greater than the third preset value and the increase in the number of times the washing program is run is greater than the fourth preset value, the washing program is recommended to the target washing machine.

6. A program recommendation control method for a washing machine, characterized in that: The program recommendation control method comprises: Obtaining the location information of the target washing machine; determining a target area corresponding to the target washing machine according to the location information; Acquiring washing program data of all or part of other washing machines in the target area; recommending a washing program to the target washing machine according to the washing program data; The step of "obtaining washing program data of all or part of the other washing machines in the target area" specifically includes: Obtaining the washing programs executed by all or part of the other washing machines in the target area in the recent period and the number of times each of the washing programs has been run; The step of "recommending a washing program to the target washing machine according to the washing program data" specifically includes: Sorting all the washing programs acquired according to the number of their respective running times; According to the preset recommended number, the washing program with a larger number of runs is recommended to the target washing machine.

7. The program recommendation control method according to any one of claims 1 to 6, characterized in that: Before the step of "obtaining washing program data of all or part of the other washing machines in the target area", the program recommendation control method further includes: Obtaining the total number of other washing machines in the target area; If the total amount of other washing machines in the target area is less than or equal to a preset amount, obtaining washing program data of all other washing machines in the target area; If the total number of other washing machines in the target area is greater than the preset number, washing program data of some of the other washing machines in the target area are obtained, wherein the number of the obtained partial washing machines does not exceed the preset number.

8. A washing machine, characterized in that: The washing machine has a controller configured to be able to execute the program recommendation control method according to any one of claims 1 to 7.

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