Thread debris cleaning reminder control method for washing machine

Abstract

The present invention belongs to the field of intelligent washing machines, and specifically provides a control method for reminding of lint cleaning of a washing machine. The present invention aims to solve the problem that users do not clean the lint in the lint collection device of the existing washing machine in a timely manner. For this purpose, the control method of the present invention includes selectively obtaining lint cleaning guidance information; when obtaining the lint cleaning guidance information, obtaining lint cleaning conditions; and when the lint cleaning conditions are met, sending a lint cleaning reminder message. When the lint cleaning conditions are met, the washing machine of the present invention sends a lint cleaning reminder message, thereby avoiding the situation that users forget to clean the lint, and further being able to solve the problem that the lint in the lint collection device of the existing washing machine is not cleaned in a timely manner.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent washing machines, and particularly provides a method for controlling lint cleaning reminder of a washing machine. Background Art

[0002] As a household appliance, washing machines have become increasingly popular in people's lives. However, when washing clothes, lint and debris are often generated during the washing process. To avoid soiling the clothes, lint collection devices are generally provided on washing machines. And as the washing time of the washing machine extends, more and more lint will be collected in the lint collection device. At this time, when the lint is collected to a certain extent, the user needs to manually take out the filter in the lint collection device and clean the lint.

[0003] However, with the accelerating pace of life, users are often immersed in their own work or life. Therefore, users often neglect or forget to clean the lint collection device on the washing machine, or users do not know when to clean it. In this case, since the lint collection device is already full of lint, the lint collection device cannot collect newly generated lint, resulting in soiling of the clothes and thus affecting the user experience.

[0004] Correspondingly, there is a need in the art for a new method for controlling lint cleaning reminder of a washing machine to solve the problem that users do not clean the lint in the lint collection device of existing washing machines in a timely manner. Summary of the Invention

[0005] To solve the above problems in the prior art, that is, to solve the problem that users do not clean the lint in the lint collection device of existing washing machines in a timely manner, the present invention provides a method for controlling lint cleaning reminder of a washing machine, including selectively obtaining lint cleaning guidance information; when obtaining the lint cleaning guidance information, obtaining lint cleaning conditions; and when the lint cleaning conditions are met, sending a lint cleaning reminder message.

[0006] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, a lint collection device is provided in the washing machine. The step of "selectively obtaining lint cleaning guidance information" further includes: obtaining the current location and the current season; based on the current location and the current season, determining whether to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; when the determination result is to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened, then obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; the step of "when obtaining the lint cleaning guidance information and obtaining the lint cleaning condition" further includes: obtaining the lint cleaning condition corresponding to the current location and the current season according to the big data processing information result; wherein, the lint cleaning guidance information is the big data processing information result.

[0007] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the step of "based on the current location and the current season, determining whether to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened" further includes: when it is obtained that the current location is in the south or north and the current season is summer, then do not obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; or when it is obtained that the current location is in the north and the current season is winter, then do not obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; and / or, the big data processing information result when the lint collection device at the current location and in the current season is opened is obtained through a cloud platform.

[0008] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the step of "based on the current location and the current season, determining whether to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened" further includes: when it is obtained that the current location is in the north and the current season is spring or autumn, then obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; or when it is obtained that the current location is in the south and the current season is spring, autumn or winter, then obtain the big data processing information result when the lint collection device at the current location and in the current season is opened.

[0009] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the step of "when it is obtained that the current location is the south or the north and the current season is summer, then the big data processing information result when the lint collection device is opened at the current location and in the current season is not obtained" further includes: when it is obtained that the current location is the south or the north and the current season is summer, then the big data processing information result when the lint collection device is opened at the current location and in the current season is not obtained, and the lint cleaning condition is not obtained, and the lint cleaning reminder information is not sent; and / or, a limit sensor is provided in the lint collection device to upload the frequency of the lint collection device being opened to the cloud platform.

[0010] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the step of "when it is obtained that the current location is the north and the current season is winter, then the big data processing information result when the lint collection device is opened at the current location and in the current season is not obtained" further includes: when it is obtained that the current location is the north and the current season is winter, then the big data processing information result when the lint collection device is opened at the current location and in the current season is not obtained, and the lint cleaning condition is obtained, and the lint cleaning condition is: the total number of washing program runs N within the lint cleaning cycle of the machine ≥ N1; where N1 is the set lint cleaning times threshold.

[0011] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the step of "when the judgment result is to obtain the big data processing information result when the lint collection device is opened at the current location and in the current season, then the big data processing information result when the lint collection device is opened at the current location and in the current season is obtained" further includes: when it is obtained that the current location is the north and the current season is spring or autumn, or when it is obtained that the current location is the south and the current season is spring, autumn or winter, obtaining the big data processing information result when the lint collection device is opened at the current location and in the current season includes: the proportion η of the number of times lint-containing clothes are put in, where b is the average total number of program runs within the lint cleaning cycle, and a is the average number of times lint-containing clothes are put in within the lint cleaning cycle; the step of "obtaining the lint cleaning condition corresponding to the current location and the current season according to the big data processing information result" further includes: obtaining the lint cleaning condition corresponding to the current location and the current season as: N * η ≥ N1, where N is the total number of washing program runs within the lint cleaning cycle of the machine, and N1 is the set lint cleaning times threshold.

[0012] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the step of "when the judgment result is the big data processing information result when the lint collection device at the current position and in the current season is opened, then obtain the big data processing information result when the lint collection device at the current position and in the current season is opened" further includes: when it is obtained that the current position is in the north and the current season is spring or autumn, obtaining the big data processing information result when the lint collection device at the current position and in the current season is opened includes: the average number of times a that lint-containing clothes are put in during the lint cleaning cycle; the step of "obtaining the lint cleaning condition corresponding to the current position and the current season according to the big data processing information result" further includes: obtaining the proportion φ of the number of times of putting in lint-containing clothes of the washing machine itself in the total number of times of putting in of the washing machine itself, where φ = 30% - 70%; the obtained lint cleaning condition corresponding to the current position and the current season is: N * φ ≥ a, where N is the total number of times of running the washing program during the lint cleaning cycle of the washing machine itself.

[0013] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the step of "when the judgment result is the big data processing information result when the lint collection device at the current position and in the current season is opened, then obtain the big data processing information result when the lint collection device at the current position and in the current season is opened" further includes: when it is obtained that the current position is in the south and the current season is spring, autumn or winter, obtaining the big data processing information result when the lint collection device at the current position and in the current season is opened includes: the average number of times a that lint-containing clothes are put in during the lint cleaning cycle; the step of "obtaining the lint cleaning condition corresponding to the current position and the current season according to the big data processing information result" further includes: obtaining the proportion φ of the number of times of putting in lint-containing clothes of the washing machine itself in the total number of times of putting in of the washing machine itself, where φ = 20% - 40%; the obtained lint cleaning condition corresponding to the current position and the current season is: N * φ ≥ a, where N is the total number of times of running the washing program during the lint cleaning cycle of the washing machine itself.

[0014] In the preferred technical solution of the lint cleaning reminder control method for the above washing machine, the number of times of putting in lint-containing clothes is the number of times the lint program button is triggered; or, the number of times of putting in lint-containing clothes is the number of times of running the program after judging that the clothes are lint-containing clothes based on an image.

[0015] Those skilled in the art can understand that in the technical solution of the present invention, the control method includes: selectively obtaining lint cleaning guidance information; when obtaining the lint cleaning guidance information, obtaining lint cleaning conditions; and when the lint cleaning conditions are met, sending a lint cleaning reminder message.

[0016] It can be understood that the above-mentioned lint cleaning guidance information can provide a basis for the lint cleaning conditions of the washing machine of the present invention, that is, provide information guidance for the lint cleaning related information that the washing machine of the present invention does not have through the existing lint cleaning related information. Among them, the information source of the lint cleaning guidance information can include various forms, such as online data, cloud platform or data survey, etc., thereby improving the accuracy of the lint cleaning conditions. And when the washing machine of the present invention meets the above-mentioned lint cleaning conditions, a lint cleaning reminder message is sent, thereby avoiding the situation that the user forgets to clean the lint, and further being able to solve the problem that the lint in the lint collection device of the existing washing machine is not cleaned in time. In addition, it can also enable the washing machine of the present invention to obtain the lint cleaning conditions only by changing the software without adding additional hardware, thereby being able to reduce the production cost and achieve the purpose of lint cleaning reminder. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The following describes the lint cleaning reminder control method of the washing machine of the present invention with reference to the drawings. In the drawings:

[0018] Figure 1 is a schematic diagram of the main steps of the lint cleaning reminder control method of the washing machine of the present invention;

[0019] Figure 2 is a schematic diagram of the main steps of selectively obtaining lint cleaning guidance information of the lint cleaning reminder control method of the washing machine of the present invention;

[0020] Figure 3 is a schematic diagram of the steps of obtaining the current location and current season when obtaining the big data processing result of the lint cleaning reminder control method of the washing machine of the present invention;

[0021] Figure 4 is a schematic diagram of the main steps of obtaining the lint cleaning conditions corresponding to the current location and current season according to the big data processing information result of the lint cleaning reminder control method of the washing machine of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0022] The following describes the preferred embodiments of the present invention with reference to the drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention and are not intended to limit the protection scope of the present invention. Those skilled in the art can make adjustments according to needs to adapt to specific application scenarios.

[0023] AsFigure 1 As shown, to solve the problem that users do not clean lint in the lint collection device of existing washing machines in a timely manner, the control method of the present invention includes:

[0024] Step S1: Selectively obtain lint cleaning guidance information.

[0025] Step S2: When obtaining the lint cleaning guidance information, obtain the lint cleaning conditions.

[0026] Step S3: When the lint cleaning conditions are met, send a lint cleaning reminder message.

[0027] Among them, the form of sending the lint cleaning reminder message is diverse, which can include sending it to the terminal device through the cloud platform, or reminding the user by the alarm sound of the washing machine itself and other methods.

[0028] Step S1 of the present invention further specifically includes the following steps:

[0029] Step S11: Obtain the current location and the current season.

[0030] Among them, the current location information can be obtained by manual input of the user, or by the washing machine extracting the location information of the terminal device and other methods. The current season can be obtained by the time set in the washing machine, or by extracting the information of the terminal device and other methods.

[0031] Step S12: Based on the current location and the current season, judge whether to obtain the big data processing information result when the lint collection device at the current location and the current season is opened.

[0032] Obtaining the big data processing information result at the same location and the same season through the current location and the current season, the big data obtained in this case is closer to the actual life scenario of the user, which is more conducive to the accurate judgment of lint cleaning. Among them, the big data processing information result is the data information for judging when the lint needs to be cleaned.

[0033] Step S13: When the judgment result is to obtain the big data processing information result when the lint collection device at the current location and the current season is opened, then obtain the big data processing information result when the lint collection device at the current location and the current season is opened.

[0034] Step S21: According to the big data processing information result, obtain the lint cleaning conditions corresponding to the current location and the current season.

[0035] The present invention utilizes big data to provide data support for the lint cleaning conditions of washing machines. Even when there are fewer operable program buttons on the washing machine, it can understand when to clean lint through big data, enabling a washing machine with a single function to reduce production costs without adding additional hardware.

[0036] Step S14: When it is obtained that the current location is in the south or north and the current season is summer, the big data processing information result when the lint collection device is opened at the current location and current season is not obtained.

[0037] Step S141: The lint cleaning condition is not obtained, and the lint cleaning reminder information is not sent.

[0038] Under normal circumstances, in summer in the south or north, people tend to wear relatively thin clothes, and few or almost no one wears clothes with lint. Therefore, in this case, the clothes put into the washing machine hardly produce lint. Even if lint is produced, it is not enough to reach the condition for lint cleaning. Therefore, the lint cleaning condition is not obtained, and the lint cleaning reminder information is not sent.

[0039] Step S15: When it is obtained that the current location is in the north and the current season is winter, the big data processing information result when the lint collection device is opened at the current location and current season is not obtained.

[0040] Step S151: The lint cleaning condition is obtained. The lint cleaning condition is: the total number of times N of the washing program running within the lint cleaning cycle of this machine ≥ N1, where N1 described in the present invention is the set lint cleaning times threshold, which can be the lint cleaning times threshold set by the washing machine factory or the lint cleaning times threshold set by the user, etc.

[0041] When the current location is in the north and the current season is winter, the clothes people wear are usually thick. For example, down, woolen, cotton and linen are usually chosen for outerwear, and sweaters are usually chosen for bottoming clothes. Therefore, lint is generated in the washing machine every time clothes are washed, that is, lint is generated every time a program runs. In this case, it is not necessary to compare the specific number of times with lint among N runs through big data statistics results because it is defaulted that there is lint. At this time, when N ≥ N1, lint cleaning can be carried out, and the washing machine sends a lint cleaning reminder information to notify the user to clean the lint in time.

[0042] As Figure 3 shown, step S13 of the present invention further includes the following steps:

[0043] Step S131: When it is obtained that the current location is in the north and the current season is spring or autumn, the big data processing information result when the lint collection device is opened at the current location and current season is obtained.

[0044] Step S132: When it is obtained that the current position is the south and the current season is spring, autumn or winter, obtain the big data processing information result when the lint collection device at the current position and in the current season is turned on.

[0045] In spring or autumn in the north, due to the relatively suitable temperature, people wear fewer clothes with lint compared to winter. In spring, autumn and winter in the south, the temperature is also relatively suitable, and some clothes with lint will also be used by people. In this case, it is not that there are always clothes with lint in the washing machine every time it is washed. Therefore, by obtaining the big data processing result of the current region and the current season to know the lint cleaning conditions, the purpose of lint cleaning reminder can be achieved.

[0046] As Figure 4 shown, one implementation manner of step S21 of the present invention further includes the following steps:

[0047] Step S211: When it is obtained that the current position is the north and the current season is spring or autumn, or when it is obtained that the current position is the south and the current season is spring, autumn or winter, the big data processing information result when the lint collection device at the current position and in the current season is turned on includes: the proportion η of the number of times clothes with lint are put in.

[0048] Step S211 further includes step S2111: Obtain that the lint cleaning condition corresponding to the current position and the current season is: N * η ≥ N1.

[0049] Wherein, b is the total average number of program runs during the lint cleaning cycle, a is the average number of times clothes with lint are put in during the lint cleaning cycle, and N is the total number of washing program runs during the lint cleaning cycle of this machine.

[0050] By obtaining the big data processing information result η, that is, the proportion of the average number of times clothes with lint are put in during the lint cleaning cycle in the big data of the current season and the current region to the total average number of program runs during the lint cleaning cycle, a reference is made for the proportion of the number of times clothes with lint are put in during the lint cleaning cycle in the washing machine of the present invention. And by using N * η, the reference number of times clothes with lint are put in the washing machine of the present invention is obtained. When N * η ≥ N1, the lint cleaning condition is met and a lint cleaning reminder is given.

[0051] Continue to refer to Figure 4 , another implementation manner of step S21 of the present invention further includes the following steps:

[0052] Step S212: When it is obtained that the current position is the north and the current season is spring or autumn, the big data processing information result when the lint collection device at the current position and in the current season is turned on includes: the average number of times a that linty clothes are put in during the lint cleaning cycle.

[0053] Step S2121: Obtain the proportion φ of the number of times linty clothes are put in the local machine in the total number of local machine put-ins, where φ = 30% - 70%.

[0054] Step S2122: Obtain the lint cleaning condition corresponding to the current position and the current season as: N * φ ≥ a.

[0055] Step S213: When it is obtained that the current position is the south and the current season is spring, autumn or winter, the big data processing information result when the lint collection device at the current position and in the current season is turned on includes: the average number of times a that linty clothes are put in during the lint cleaning cycle.

[0056] Step S2131: Obtain the proportion φ of the number of times linty clothes are put in the local machine in the total number of local machine put-ins, where φ = 20% - 40%.

[0057] Step S2132: Obtain the lint cleaning condition corresponding to the current position and the current season as: N * φ ≥ a.

[0058] Obtaining the average number of times a that linty clothes are put in during the lint cleaning cycle through big data provides a reference for the number of times linty clothes are put in during the lint cleaning cycle of the washing machine of the present invention. Under the limited conditions of the current season and the current position, it is more accurate than the factory-set lint cleaning times. For example, in spring and autumn in the north, the lint collected by the lint collection device after each washing of the washing machine is less, while in winter, the lint collected by the lint collection device is more. Therefore, the number of times linty clothes are put in during the spring and autumn seasons when reaching the lint cleaning condition is more than that in winter, and the factory-set lint cleaning times are a constant value; by obtaining the proportion φ of the number of times linty clothes are put in the local machine in the total number of local machine put-ins, that is, the user can select the proportion of linty clothes according to their own dressing preferences. When N * φ ≥ a, the lint cleaning condition is reached, where N is the total number of times the washing program runs during the local machine lint cleaning cycle.

[0059] In addition, since linty clothes in the north can be used in winter, spring and autumn at the same time. For example, sweaters can be worn outside in spring and autumn and inside in winter. While in the south, the temperature change is small, and the tendency to choose linty clothes for cross-season use is less than that in the north. Generally speaking, the proportion of linty clothes in all clothes is less than that in the north.

[0060] Among them, the above-mentioned terminal device can be, for example, a mobile device. In some embodiments, the mobile device can include, for example, a mobile phone, a smart home device, a wearable device, a smart mobile device, a virtual reality device, etc., or any combination thereof.

[0061] In addition, the big data processing information result when the lint collection device at the current position and current season is opened can be obtained through the cloud platform. Of course, it can also be obtained through other means. The cloud platform can obtain the required data from the target washing machine equipped with a limit sensor on the lint collection device. Those skilled in the art can understand that the target washing machine and the washing machine of the present invention are not the same washing machine. The specific implementation method includes that, in order to obtain lint cleaning guidance information, when the target washing machine is produced on the production line, a limit sensor is randomly installed. The products containing the limit sensor will be randomly put on the market to ensure the randomness of the data samples. After the user purchases the target washing machine, when the lint is full or the user believes that cleaning is needed, the lint box will be opened to clean the lint. At this time, the limit switch will be triggered, and the computer board of the target washing machine will upload the data running at this time to the cloud platform. Then, after being processed by blockchain technology, the washing machine of the present invention ensures that it will not steal the user's private information and only obtains the required big data processing information result, that is, including which cycle the target washing machine runs to, which programs are used respectively, and the number of times the programs are used, etc.

[0062] In addition, the number of times the linty clothes are put into the washing machine of the present invention obtained through big data is the number of times the lint program button of the target washing machine is triggered or the number of times the program runs after the linty clothes are judged based on the image.

[0063] The above-mentioned lint program buttons can include program buttons for easy lint generation such as mix, large items, wool, and cotton and linen.

[0064] In summary, the washing machine of the present invention obtains the big data processing information result of the target washing machine through the cloud platform and provides data support for the lint cleaning conditions of the washing machine of the present invention. Thus, without additional hardware, it can know the lint cleaning conditions only by changing the software. That is, a washing machine with a single function can also know when to clean the lint, thereby reducing production costs and achieving the purpose of lint cleaning reminder.

[0065] In addition, due to different seasons and locations, the types of clothing people wear are also different. The temperature difference is caused by the differences in location and season. When the temperature is relatively high, people tend to wear thinner clothes and rarely wear clothes with lint. When the temperature is relatively low, people tend to wear warm clothes, and at this time, wearing clothes with lint becomes the first choice. Therefore, the differences in season and location result in different frequencies of lint-containing clothes being washed and put into the washing machine. The washing machine of the present invention selectively obtains lint cleaning conditions based on the division of season and location, which is closer to the actual life of users, improves the accuracy of lint cleaning reminders, and avoids the situation where users forget to clean lint, thereby solving the problem of untimely lint cleaning in the lint collection device of the existing washing machine.

[0066] It should be noted that the above embodiments are only used to illustrate the principle of the present invention and are not intended to limit the protection scope of the present invention. Without departing from the principle of the present invention, those skilled in the art can adjust the above structure so that the present invention can be applied to more specific application scenarios.

[0067] Those skilled in the art can understand that the above washing machine also includes some other well-known structures, such as a processor, a controller, a memory, etc. Among them, the memory includes but is not limited to random access memory, flash memory, read-only memory, programmable read-only memory, volatile memory, non-volatile memory, serial memory, parallel memory or registers, etc. The processor includes but is not limited to CPLD / FPGA, DSP, ARM processor, MIPS processor, etc. To avoid unnecessarily obscuring the embodiments of the present disclosure, these well-known structures are not shown in the drawings.

[0068] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the 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 lint cleaning reminder control method for a washing machine, characterized in that, The control method includes: Selectively obtaining lint cleaning guidance information; When obtaining the lint cleaning guidance information, obtaining lint cleaning conditions; When the lint cleaning conditions are met, sending a lint cleaning reminder message; A lint collection device is provided in the washing machine. The step of "selectively obtaining lint cleaning guidance information" further includes: Obtaining the current location and the current season; Based on the current location and the current season, determining whether to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; When the determination result is to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened, then obtaining the big data processing information result when the lint collection device at the current location and in the current season is opened; The step of "when obtaining the lint cleaning guidance information, obtaining lint cleaning conditions" further includes: According to the big data processing information result, obtaining the lint cleaning conditions corresponding to the current location and the current season; Wherein, the lint cleaning guidance information is the big data processing information result.

2. The lint cleaning reminder control method of the washing machine according to claim 1, characterized in that, The step of "based on the current location and the current season, determining whether to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened" further includes: When the current location is in the south or north and the current season is summer, then do not obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; Or when the current location is in the north and the current season is winter, then do not obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; And / or, the big data processing information result when the lint collection device at the current location and in the current season is opened is obtained through a cloud platform.

3. The lint cleaning reminder control method of the washing machine according to claim 1, characterized in that, The step of "based on the current location and the current season, determining whether to obtain the big data processing information result when the lint collection device at the current location and in the current season is opened" further includes: When the current location is in the north and the current season is spring or autumn, then obtain the big data processing information result when the lint collection device at the current location and in the current season is opened; Or when the current location is in the south and the current season is spring, autumn or winter, then obtain the big data processing information result when the lint collection device at the current location and in the current season is opened.

4. The lint cleaning reminder control method of the washing machine according to claim 2, characterized in that, The step of "when the current location is in the south or north and the current season is summer, then do not obtain the big data processing information result when the lint collection device at the current location and in the current season is opened" further includes: When it is obtained that the current location is in the south or north and the current season is summer, the big data processing information result when the lint collection device is opened at the current location and in the current season is not obtained, the lint cleaning condition is not obtained, and the lint cleaning reminder information is not sent; And / or, a limit sensor is provided inside the lint collection device to upload the frequency of the lint collection device being opened to the cloud platform.

5. The lint cleaning reminder control method of the washing machine according to claim 2, characterized in that, The step of "when it is obtained that the current location is in the north and the current season is winter, the big data processing information result when the lint collection device is opened at the current location and in the current season is not obtained" further includes: When it is obtained that the current location is in the north and the current season is winter, the big data processing information result when the lint collection device is opened at the current location and in the current season is not obtained, and the lint cleaning condition is obtained. The lint cleaning condition is: the total number of washing program runs N within the lint cleaning cycle of the machine ≥ N1; where N1 is the set threshold of the number of lint cleaning times.

6. The lint cleaning reminder control method of the washing machine according to claim 3, characterized in that, The step of "when the judgment result is to obtain the big data processing information result when the lint collection device is opened at the current location and in the current season, then obtain the big data processing information result when the lint collection device is opened at the current location and in the current season" further includes: When it is obtained that the current location is the north and the current season is spring or autumn, or when it is obtained that the current location is the south and the current season is spring, autumn or winter, the big data processing information result when the lint collection device at the current location and in the current season is turned on includes: the proportion η of the number of times linty clothes are put in, where b is the average total number of program runs within the lint cleaning cycle, and a is the average number of times the lint-containing clothes are put in within the lint cleaning cycle; The step of "obtain the lint cleaning condition corresponding to the current location and the current season according to the big data processing information result" further includes: Obtain the lint cleaning condition corresponding to the current location and the current season as: N*η≥N1, where N is the total number of washing program runs within the lint cleaning cycle of the machine, and N1 is the set threshold of the number of lint cleaning times.

7. The lint cleaning reminder control method of the washing machine according to claim 3, characterized in that, The step of "when the judgment result is to obtain the big data processing information result when the lint collection device is opened at the current location and in the current season, then obtain the big data processing information result when the lint collection device is opened at the current location and in the current season" further includes: When it is obtained that the current location is in the north and the current season is spring or autumn, obtaining the big data processing information result when the lint collection device is opened at the current location and in the current season includes: the average number of times a lint-containing clothes are put in within the lint cleaning cycle; The step of "obtain the lint cleaning condition corresponding to the current location and the current season according to the big data processing information result" further includes: Obtain the proportion φ of the input number of times the lint-containing clothes are put in the machine in the total number of times the machine is put in, where φ = 30%-70%; Obtain the lint cleaning condition corresponding to the current location and the current season as: N*φ≥a, where N is the total number of washing program runs within the lint cleaning cycle of the machine.

8. The lint cleaning reminder control method of the washing machine according to claim 3, characterized in that, When the judgment result is the big data processing information result when the lint collection device at the current position and in the current season is opened, the step of "obtaining the big data processing information result when the lint collection device at the current position and in the current season is opened" further includes: When it is obtained that the current position is in the south and the current season is spring, autumn or winter, obtaining the big data processing information result when the lint collection device at the current position and in the current season is opened includes: the average number of times a that lint-containing clothes are put in during the lint cleaning cycle; The step of "obtaining the lint cleaning condition corresponding to the current position and the current season according to the big data processing information result" further includes: Obtaining the proportion φ of the number of times of putting in lint-containing clothes of the local machine in the total number of times of putting in of the local machine, where φ = 20% - 40%; Obtaining the lint cleaning condition corresponding to the current position and the current season is: N*φ ≥ a, where N is the total number of times the washing program runs during the local machine lint cleaning cycle.

9. The lint cleaning reminder control method of the washing machine according to any one of claims 6-8, characterized in that, The number of times the lint-containing clothes are put in is the number of times the lint program button is triggered; or, the number of times the lint-containing clothes are put in is the number of times the program runs after judging that the clothes have lint based on the image.

Images